version to 0.5.11 (#3038)

Co-authored-by: crazywoola <427733928@qq.com>

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -10,7 +10,9 @@ body:
       options:
         - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
           required: true
-        - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
           required: true
 
   - type: input

.github/ISSUE_TEMPLATE/document_issue.yml

@@ -10,7 +10,9 @@ body:
       options:
         - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
           required: true
-        - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+        - label: I confirm that I am using English to submit report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
           required: true
   - type: textarea
     attributes:

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -10,7 +10,9 @@ body:
       options:
         - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
           required: true
-        - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
           required: true
   - type: textarea
     attributes:

.github/ISSUE_TEMPLATE/help_wanted.yml

@@ -10,7 +10,9 @@ body:
       options:
         - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
           required: true
-        - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
           required: true
   - type: textarea
     attributes:

.github/ISSUE_TEMPLATE/translation_issue.yml

@@ -10,7 +10,9 @@ body:
       options:
         - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
           required: true
-        - label: I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
           required: true
   - type: input
     attributes:

.github/pull_request_template.md

@@ -0,0 +1,32 @@
+# Description
+
+Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
+
+Fixes # (issue)
+
+## Type of Change
+
+Please delete options that are not relevant.
+
+- [ ] Bug fix (non-breaking change which fixes an issue)
+- [ ] New feature (non-breaking change which adds functionality)
+- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
+- [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
+- [ ] Improvement，including but not limited to code refactoring, performance optimization, and UI/UX improvement
+- [ ] Dependency upgrade
+
+# How Has This Been Tested?
+
+Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
+
+- [ ] TODO
+
+# Suggested Checklist:
+
+- [ ] I have performed a self-review of my own code
+- [ ] I have commented my code, particularly in hard-to-understand areas
+- [ ] My changes generate no new warnings
+- [ ] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
+- [ ] `optional` I have made corresponding changes to the documentation 
+- [ ] `optional` I have added tests that prove my fix is effective or that my feature works
+- [ ] `optional` New and existing unit tests pass locally with my changes

.github/workflows/build-push.yml

@@ -1,17 +1,32 @@
-name: Build and Push API Image
+name: Build and Push API & Web
 
 on:
   push:
     branches:
-      - 'main'
-      - 'deploy/dev'
+      - "main"
+      - "deploy/dev"
   release:
-    types: [ published ]
+    types: [published]
+
+env:
+  DOCKERHUB_USER: ${{ secrets.DOCKERHUB_USER }}
+  DOCKERHUB_TOKEN: ${{ secrets.DOCKERHUB_TOKEN }}
+  DIFY_WEB_IMAGE_NAME: ${{ vars.DIFY_WEB_IMAGE_NAME || 'langgenius/dify-web' }}
+  DIFY_API_IMAGE_NAME: ${{ vars.DIFY_API_IMAGE_NAME || 'langgenius/dify-api' }}
 
 jobs:
   build-and-push:
     runs-on: ubuntu-latest
     if: github.event.pull_request.draft == false
+    strategy:
+      matrix:
+        include:
+          - service_name: "web"
+            image_name_env: "DIFY_WEB_IMAGE_NAME"
+            context: "web"
+          - service_name: "api"
+            image_name_env: "DIFY_API_IMAGE_NAME"
+            context: "api"
     steps:
       - name: Set up QEMU
         uses: docker/setup-qemu-action@v3
@@ -22,14 +37,14 @@ jobs:
       - name: Login to Docker Hub
         uses: docker/login-action@v2
         with:
-          username: ${{ secrets.DOCKERHUB_USER }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
+          username: ${{ env.DOCKERHUB_USER }}
+          password: ${{ env.DOCKERHUB_TOKEN }}
 
       - name: Extract metadata (tags, labels) for Docker
         id: meta
         uses: docker/metadata-action@v5
         with:
-          images: langgenius/dify-api
+          images: ${{ env[matrix.image_name_env] }}
           tags: |
             type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
             type=ref,event=branch
@@ -39,22 +54,11 @@ jobs:
       - name: Build and push
         uses: docker/build-push-action@v5
         with:
-          context: "{{defaultContext}}:api"
+          context: "{{defaultContext}}:${{ matrix.context }}"
           platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
-          build-args: |
-            COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
+          build-args: COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
           push: true
           tags: ${{ steps.meta.outputs.tags }}
           labels: ${{ steps.meta.outputs.labels }}
           cache-from: type=gha
           cache-to: type=gha,mode=max
-
-      - name: Deploy to server
-        if: github.ref == 'refs/heads/deploy/dev'
-        uses: appleboy/ssh-action@v0.1.8
-        with:
-          host: ${{ secrets.SSH_HOST }}
-          username: ${{ secrets.SSH_USER }}
-          key: ${{ secrets.SSH_PRIVATE_KEY }}
-          script: |
-            ${{ secrets.SSH_SCRIPT }}

.github/workflows/build-web-image.yml

@@ -1,60 +0,0 @@
-name: Build and Push WEB Image
-
-on:
-  push:
-    branches:
-      - 'main'
-      - 'deploy/dev'
-  release:
-    types: [ published ]
-
-jobs:
-  build-and-push:
-    runs-on: ubuntu-latest
-    if: github.event.pull_request.draft == false
-    steps:
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Login to Docker Hub
-        uses: docker/login-action@v2
-        with:
-          username: ${{ secrets.DOCKERHUB_USER }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-      - name: Extract metadata (tags, labels) for Docker
-        id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: langgenius/dify-web
-          tags: |
-            type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
-            type=ref,event=branch
-            type=sha,enable=true,priority=100,prefix=,suffix=,format=long
-            type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
-
-      - name: Build and push
-        uses: docker/build-push-action@v5
-        with:
-          context: "{{defaultContext}}:web"
-          platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
-          build-args: |
-            COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
-          push: true
-          tags: ${{ steps.meta.outputs.tags }}
-          labels: ${{ steps.meta.outputs.labels }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
-
-      - name: Deploy to server
-        if: github.ref == 'refs/heads/deploy/dev'
-        uses: appleboy/ssh-action@v0.1.8
-        with:
-          host: ${{ secrets.SSH_HOST }}
-          username: ${{ secrets.SSH_USER }}
-          key: ${{ secrets.SSH_PRIVATE_KEY }}
-          script: |
-            ${{ secrets.SSH_SCRIPT }}

.github/workflows/deploy-dev.yml

@@ -0,0 +1,24 @@
+name: Deploy Dev
+
+on:
+  workflow_run:
+    workflows: ["Build and Push API & Web"]
+    branches:
+      - "deploy/dev"
+    types:
+      - completed
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    if: |
+      github.event.workflow_run.conclusion == 'success'
+    steps:
+      - name: Deploy to server
+        uses: appleboy/ssh-action@v0.1.8
+        with:
+          host: ${{ secrets.SSH_HOST }}
+          username: ${{ secrets.SSH_USER }}
+          key: ${{ secrets.SSH_PRIVATE_KEY }}
+          script: |
+            ${{ vars.SSH_SCRIPT || secrets.SSH_SCRIPT }}

.github/workflows/style.yml

@@ -10,14 +10,40 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
-  test:
-    name: ESLint and SuperLinter
+  python-style:
+    name: Python Style
     runs-on: ubuntu-latest
 
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
 
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+
+      - name: Python dependencies
+        run: pip install ruff
+
+      - name: Ruff check
+        run: ruff check ./api
+
+      - name: Lint hints
+        if: failure()
+        run: echo "Please run 'dev/reformat' to fix the fixable linting errors."
+
+  test:
+    name: ESLint and SuperLinter
+    runs-on: ubuntu-latest
+    needs: python-style
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
       - name: Setup NodeJS
         uses: actions/setup-node@v4
         with:
@@ -36,11 +62,10 @@ jobs:
           yarn run lint
 
       - name: Super-linter
-        uses: super-linter/super-linter/slim@v5
+        uses: super-linter/super-linter/slim@v6
         env:
           BASH_SEVERITY: warning
           DEFAULT_BRANCH: main
-          ERROR_ON_MISSING_EXEC_BIT: true
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           IGNORE_GENERATED_FILES: true
           IGNORE_GITIGNORED_FILES: true

.github/workflows/tool-test-sdks.yaml

@@ -0,0 +1,34 @@
+name: Run Unit Test For SDKs
+
+on:
+  pull_request:
+    branches:
+      - main
+jobs:
+  build:
+    name: unit test for Node.js SDK
+    runs-on: ubuntu-latest
+
+    strategy:
+      matrix:
+        node-version: [16, 18, 20]
+
+    defaults:
+      run:
+        working-directory: sdks/nodejs-client
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Use Node.js ${{ matrix.node-version }}
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ matrix.node-version }}
+          cache: ''
+          cache-dependency-path: 'yarn.lock'
+
+      - name: Install Dependencies
+        run: yarn install
+
+      - name: Test
+        run: yarn test

.gitignore

@@ -145,10 +145,14 @@ docker/volumes/db/data/*
 docker/volumes/redis/data/*
 docker/volumes/weaviate/*
 docker/volumes/qdrant/*
+docker/volumes/etcd/*
+docker/volumes/minio/*
+docker/volumes/milvus/*
 
 sdks/python-client/build
 sdks/python-client/dist
 sdks/python-client/dify_client.egg-info
 
 .vscode/*
-!.vscode/launch.json
+!.vscode/launch.json
+pyrightconfig.json

CONTRIBUTING.md

@@ -155,4 +155,4 @@ And that's it! Once your PR is merged, you will be featured as a contributor in
 
 ## Getting Help
 
-If you ever get stuck or got a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/AhzKf7dNgk) for a quick chat. 
+If you ever get stuck or got a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat. 

CONTRIBUTING_CN.md

@@ -152,4 +152,4 @@ Dify的后端使用Python编写，使用[Flask](https://flask.palletsprojects.co
 
 ## 获取帮助
 
-如果你在贡献过程中遇到困难或者有任何问题，可以通过相关的 GitHub 问题提出你的疑问，或者加入我们的 [Discord](https://discord.gg/AhzKf7dNgk) 进行快速交流。
+如果你在贡献过程中遇到困难或者有任何问题，可以通过相关的 GitHub 问题提出你的疑问，或者加入我们的 [Discord](https://discord.gg/8Tpq4AcN9c) 进行快速交流。

LICENSE

@@ -1,24 +1,26 @@
-# Dify Open Source License
+# Open Source License
 
-The Dify project is licensed under the Apache License 2.0, with the following additional conditions:
+Dify is licensed under the Apache License 2.0, with the following additional conditions:
 
-1. Dify is permitted to be used for commercialization, such as using Dify as a "backend-as-a-service" for your other applications, or delivering it to enterprises as an application development platform. However, when the following conditions are met, you must contact the producer to obtain a commercial license:
+1. Dify may be utilized commercially, including as a backend service for other applications or as an application development platform for enterprises. Should the conditions below be met, a commercial license must be obtained from the producer:
 
-a. Multi-tenant SaaS service: Unless explicitly authorized by Dify in writing, you may not use the Dify.AI source code to operate a multi-tenant SaaS service that is similar to the Dify.AI service edition.
-b. LOGO and copyright information: In the process of using Dify, you may not remove or modify the LOGO or copyright information in the Dify console.
+a. Multi-tenant SaaS service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment. 
+    - Tenant Definition: Within the context of Dify, one tenant corresponds to one workspace. The workspace provides a separated area for each tenant's data and configurations.
+
+b. LOGO and copyright information: In the process of using Dify's frontend components, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend components.
 
 Please contact business@dify.ai by email to inquire about licensing matters.
 
-2. As a contributor, you should agree that your contributed code:
+2. As a contributor, you should agree that:
 
-a. The producer can adjust the open-source agreement to be more strict or relaxed.
-b. Can be used for commercial purposes, such as Dify's cloud business.
+a. The producer can adjust the open-source agreement to be more strict or relaxed as deemed necessary.
+b. Your contributed code may be used for commercial purposes, including but not limited to its cloud business operations.
 
-Apart from this, all other rights and restrictions follow the Apache License 2.0. If you need more detailed information, you can refer to the full version of Apache License 2.0.
+Apart from the specific conditions mentioned above, all other rights and restrictions follow the Apache License 2.0. Detailed information about the Apache License 2.0 can be found at http://www.apache.org/licenses/LICENSE-2.0.
 
 The interactive design of this product is protected by appearance patent.
 
-© 2023 LangGenius, Inc.
+© 2024 LangGenius, Inc.
 
 
 ----------

Makefile

@@ -0,0 +1,43 @@
+# Variables
+DOCKER_REGISTRY=langgenius
+WEB_IMAGE=$(DOCKER_REGISTRY)/dify-web
+API_IMAGE=$(DOCKER_REGISTRY)/dify-api
+VERSION=latest
+
+# Build Docker images
+build-web:
+	@echo "Building web Docker image: $(WEB_IMAGE):$(VERSION)..."
+	docker build -t $(WEB_IMAGE):$(VERSION) ./web
+	@echo "Web Docker image built successfully: $(WEB_IMAGE):$(VERSION)"
+
+build-api:
+	@echo "Building API Docker image: $(API_IMAGE):$(VERSION)..."
+	docker build -t $(API_IMAGE):$(VERSION) ./api
+	@echo "API Docker image built successfully: $(API_IMAGE):$(VERSION)"
+
+# Push Docker images
+push-web:
+	@echo "Pushing web Docker image: $(WEB_IMAGE):$(VERSION)..."
+	docker push $(WEB_IMAGE):$(VERSION)
+	@echo "Web Docker image pushed successfully: $(WEB_IMAGE):$(VERSION)"
+
+push-api:
+	@echo "Pushing API Docker image: $(API_IMAGE):$(VERSION)..."
+	docker push $(API_IMAGE):$(VERSION)
+	@echo "API Docker image pushed successfully: $(API_IMAGE):$(VERSION)"
+
+# Build all images
+build-all: build-web build-api
+
+# Push all images
+push-all: push-web push-api
+
+build-push-api: build-api push-api
+build-push-web: build-web push-web
+
+# Build and push all images
+build-push-all: build-all push-all
+	@echo "All Docker images have been built and pushed."
+
+# Phony targets
+.PHONY: build-web build-api push-web push-api build-all push-all build-push-all

README.md

@@ -22,8 +22,8 @@
 </p>
 
 <p align="center">
-   <a href="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
-   Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
+   <a href="https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6" target="_blank">
+   📌 Check out Dify Premium on AWS and deploy it to your own AWS VPC with one-click.
   </a>
 </p>
 
@@ -37,6 +37,9 @@
 
 You can try out [Dify.AI Cloud](https://dify.ai) now. It provides all the capabilities of the self-deployed version, and includes 200 free requests to OpenAI GPT-3.5.
 
+### Looking to purchase via AWS?
+Check out [Dify Premium on AWS](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. 
+
 ## Dify vs. LangChain vs. Assistants API
 
 | Feature | Dify.AI | Assistants API | LangChain |
@@ -97,10 +100,12 @@ docker compose up -d
 
 After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization installation process.
 
-### Helm Chart
+#### Deploy with Helm Chart
 
-Big thanks to @BorisPolonsky for providing us with a [Helm Chart](https://helm.sh/) version, which allows Dify to be deployed on Kubernetes.
-You can go to https://github.com/BorisPolonsky/dify-helm for deployment information.
+[Helm Chart](https://helm.sh/) version, which allows Dify to be deployed on Kubernetes.
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 
 ### Configuration
 
@@ -117,6 +122,7 @@ For those who'd like to contribute code, see our [Contribution Guide](https://gi
 
 At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
 
+
 ### Contributors
 
 <a href="https://github.com/langgenius/dify/graphs/contributors">
@@ -125,7 +131,7 @@ At the same time, please consider supporting Dify by sharing it on social media
 
 ### Translations
 
-We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README_EN.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/AhzKf7dNgk).
+We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
 
 ## Community & Support
 

README_CN.md

@@ -94,10 +94,12 @@ docker compose up -d
 
 运行后，可以在浏览器上访问 [http://localhost/install](http://localhost/install) 进入 Dify 控制台并开始初始化安装操作。
 
-### Helm Chart
+#### 使用 Helm Chart 部署
 
-非常感谢 @BorisPolonsky 为我们提供了一个 [Helm Chart](https://helm.sh/) 版本，可以在 Kubernetes 上部署 Dify。
-您可以前往 https://github.com/BorisPolonsky/dify-helm 来获取部署信息。
+使用 [Helm Chart](https://helm.sh/) 版本，可以在 Kubernetes 上部署 Dify。
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 
 ### 配置
 

api/.env.example

@@ -39,7 +39,7 @@ DB_DATABASE=dify
 
 # Storage configuration
 # use for store upload files, private keys...
-# storage type: local, s3
+# storage type: local, s3, azure-blob
 STORAGE_TYPE=local
 STORAGE_LOCAL_PATH=storage
 S3_ENDPOINT=https://your-bucket-name.storage.s3.clooudflare.com
@@ -47,6 +47,11 @@ S3_BUCKET_NAME=your-bucket-name
 S3_ACCESS_KEY=your-access-key
 S3_SECRET_KEY=your-secret-key
 S3_REGION=your-region
+# Azure Blob Storage configuration
+AZURE_BLOB_ACCOUNT_NAME=your-account-name
+AZURE_BLOB_ACCOUNT_KEY=your-account-key
+AZURE_BLOB_CONTAINER_NAME=yout-container-name
+AZURE_BLOB_ACCOUNT_URL=https://<your_account_name>.blob.core.windows.net
 
 # CORS configuration
 WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
@@ -81,11 +86,17 @@ UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
 # Model Configuration
 MULTIMODAL_SEND_IMAGE_FORMAT=base64
 
-# Mail configuration, support: resend
+# Mail configuration, support: resend, smtp
 MAIL_TYPE=
 MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
 RESEND_API_KEY=
 RESEND_API_URL=https://api.resend.com
+# smtp configuration
+SMTP_SERVER=smtp.gmail.com
+SMTP_PORT=587
+SMTP_USERNAME=123
+SMTP_PASSWORD=abc
+SMTP_USE_TLS=false
 
 # Sentry configuration
 SENTRY_DSN=
@@ -120,4 +131,9 @@ HOSTED_ANTHROPIC_QUOTA_LIMIT=600000
 HOSTED_ANTHROPIC_PAID_ENABLED=false
 
 ETL_TYPE=dify
-UNSTRUCTURED_API_URL=
+UNSTRUCTURED_API_URL=
+
+SSRF_PROXY_HTTP_URL=
+SSRF_PROXY_HTTPS_URL=
+
+BATCH_UPLOAD_LIMIT=10

api/README.md

@@ -5,7 +5,7 @@
 1. Start the docker-compose stack
 
    The backend require some middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using `docker-compose`.
-   
+
    ```bash
    cd ../docker
    docker-compose -f docker-compose.middleware.yaml -p dify up -d
@@ -15,7 +15,7 @@
 3. Generate a `SECRET_KEY` in the `.env` file.
 
    ```bash
-   openssl rand -base64 42
+   sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
    ```
 3.5 If you use annaconda, create a new environment and activate it
    ```bash
@@ -46,7 +46,7 @@
    ```
    pip install -r requirements.txt --upgrade --force-reinstall
    ```
-   
+
 6. Start backend:
    ```bash
    flask run --host 0.0.0.0 --port=5001 --debug

api/app.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 import os
 
 from werkzeug.exceptions import Unauthorized
@@ -19,20 +18,32 @@ import threading
 import time
 import warnings
 
-from commands import register_commands
-from config import CloudEditionConfig, Config
-from events import event_handlers
-from extensions import (ext_celery, ext_code_based_extension, ext_database, ext_hosting_provider, ext_login, ext_mail,
-                        ext_migrate, ext_redis, ext_sentry, ext_storage)
-from extensions.ext_database import db
-from extensions.ext_login import login_manager
 from flask import Flask, Response, request
 from flask_cors import CORS
+
+from commands import register_commands
+from config import CloudEditionConfig, Config
+from extensions import (
+    ext_celery,
+    ext_code_based_extension,
+    ext_compress,
+    ext_database,
+    ext_hosting_provider,
+    ext_login,
+    ext_mail,
+    ext_migrate,
+    ext_redis,
+    ext_sentry,
+    ext_storage,
+)
+from extensions.ext_database import db
+from extensions.ext_login import login_manager
 from libs.passport import PassportService
-# DO NOT REMOVE BELOW
-from models import account, dataset, model, source, task, tool, tools, web
 from services.account_service import AccountService
 
+# DO NOT REMOVE BELOW
+from events import event_handlers
+from models import account, dataset, model, source, task, tool, tools, web
 # DO NOT REMOVE ABOVE
 
 
@@ -86,6 +97,7 @@ def create_app(test_config=None) -> Flask:
 def initialize_extensions(app):
     # Since the application instance is now created, pass it to each Flask
     # extension instance to bind it to the Flask application instance (app)
+    ext_compress.init_app(app)
     ext_code_based_extension.init()
     ext_database.init_app(app)
     ext_migrate.init(app, db)

api/commands.py

@@ -3,19 +3,20 @@ import json
 import secrets
 
 import click
-from core.embedding.cached_embedding import CacheEmbedding
-from core.model_manager import ModelManager
-from core.model_runtime.entities.model_entities import ModelType
-from extensions.ext_database import db
 from flask import current_app
+from werkzeug.exceptions import NotFound
+
+from core.rag.datasource.vdb.vector_factory import Vector
+from core.rag.models.document import Document
+from extensions.ext_database import db
 from libs.helper import email as email_validate
 from libs.password import hash_password, password_pattern, valid_password
 from libs.rsa import generate_key_pair
 from models.account import Tenant
-from models.dataset import Dataset
-from models.model import Account
+from models.dataset import Dataset, DatasetCollectionBinding, DocumentSegment
+from models.dataset import Document as DatasetDocument
+from models.model import Account, App, AppAnnotationSetting, MessageAnnotation
 from models.provider import Provider, ProviderModel
-from werkzeug.exceptions import NotFound
 
 
 @click.command('reset-password', help='Reset the account password.')
@@ -108,29 +109,140 @@ def reset_encrypt_key_pair():
         click.echo(click.style('Sorry, only support SELF_HOSTED mode.', fg='red'))
         return
 
-    tenant = db.session.query(Tenant).first()
-    if not tenant:
-        click.echo(click.style('Sorry, no workspace found. Please enter /install to initialize.', fg='red'))
-        return
+    tenants = db.session.query(Tenant).all()
+    for tenant in tenants:
+        if not tenant:
+            click.echo(click.style('Sorry, no workspace found. Please enter /install to initialize.', fg='red'))
+            return
 
-    tenant.encrypt_public_key = generate_key_pair(tenant.id)
+        tenant.encrypt_public_key = generate_key_pair(tenant.id)
 
-    db.session.query(Provider).filter(Provider.provider_type == 'custom').delete()
-    db.session.query(ProviderModel).delete()
-    db.session.commit()
+        db.session.query(Provider).filter(Provider.provider_type == 'custom', Provider.tenant_id == tenant.id).delete()
+        db.session.query(ProviderModel).filter(ProviderModel.tenant_id == tenant.id).delete()
+        db.session.commit()
 
-    click.echo(click.style('Congratulations! '
-                           'the asymmetric key pair of workspace {} has been reset.'.format(tenant.id), fg='green'))
+        click.echo(click.style('Congratulations! '
+                               'the asymmetric key pair of workspace {} has been reset.'.format(tenant.id), fg='green'))
 
 
-@click.command('create-qdrant-indexes', help='Create qdrant indexes.')
-def create_qdrant_indexes():
+@click.command('vdb-migrate', help='migrate vector db.')
+@click.option('--scope', default='all', prompt=False, help='The scope of vector database to migrate, Default is All.')
+def vdb_migrate(scope: str):
+    if scope in ['knowledge', 'all']:
+        migrate_knowledge_vector_database()
+    if scope in ['annotation', 'all']:
+        migrate_annotation_vector_database()
+
+
+def migrate_annotation_vector_database():
     """
-    Migrate other vector database datas to Qdrant.
+    Migrate annotation datas to target vector database .
     """
-    click.echo(click.style('Start create qdrant indexes.', fg='green'))
+    click.echo(click.style('Start migrate annotation data.', fg='green'))
     create_count = 0
+    skipped_count = 0
+    total_count = 0
+    page = 1
+    while True:
+        try:
+            # get apps info
+            apps = db.session.query(App).filter(
+                App.status == 'normal'
+            ).order_by(App.created_at.desc()).paginate(page=page, per_page=50)
+        except NotFound:
+            break
 
+        page += 1
+        for app in apps:
+            total_count = total_count + 1
+            click.echo(f'Processing the {total_count} app {app.id}. '
+                       + f'{create_count} created, {skipped_count} skipped.')
+            try:
+                click.echo('Create app annotation index: {}'.format(app.id))
+                app_annotation_setting = db.session.query(AppAnnotationSetting).filter(
+                    AppAnnotationSetting.app_id == app.id
+                ).first()
+
+                if not app_annotation_setting:
+                    skipped_count = skipped_count + 1
+                    click.echo('App annotation setting is disabled: {}'.format(app.id))
+                    continue
+                # get dataset_collection_binding info
+                dataset_collection_binding = db.session.query(DatasetCollectionBinding).filter(
+                    DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id
+                ).first()
+                if not dataset_collection_binding:
+                    click.echo('App annotation collection binding is not exist: {}'.format(app.id))
+                    continue
+                annotations = db.session.query(MessageAnnotation).filter(MessageAnnotation.app_id == app.id).all()
+                dataset = Dataset(
+                    id=app.id,
+                    tenant_id=app.tenant_id,
+                    indexing_technique='high_quality',
+                    embedding_model_provider=dataset_collection_binding.provider_name,
+                    embedding_model=dataset_collection_binding.model_name,
+                    collection_binding_id=dataset_collection_binding.id
+                )
+                documents = []
+                if annotations:
+                    for annotation in annotations:
+                        document = Document(
+                            page_content=annotation.question,
+                            metadata={
+                                "annotation_id": annotation.id,
+                                "app_id": app.id,
+                                "doc_id": annotation.id
+                            }
+                        )
+                        documents.append(document)
+
+                vector = Vector(dataset, attributes=['doc_id', 'annotation_id', 'app_id'])
+                click.echo(f"Start to migrate annotation, app_id: {app.id}.")
+
+                try:
+                    vector.delete()
+                    click.echo(
+                        click.style(f'Successfully delete vector index for app: {app.id}.',
+                                    fg='green'))
+                except Exception as e:
+                    click.echo(
+                        click.style(f'Failed to delete vector index for app {app.id}.',
+                                    fg='red'))
+                    raise e
+                if documents:
+                    try:
+                        click.echo(click.style(
+                            f'Start to created vector index with {len(documents)} annotations for app {app.id}.',
+                            fg='green'))
+                        vector.create(documents)
+                        click.echo(
+                            click.style(f'Successfully created vector index for app {app.id}.', fg='green'))
+                    except Exception as e:
+                        click.echo(click.style(f'Failed to created vector index for app {app.id}.', fg='red'))
+                        raise e
+                click.echo(f'Successfully migrated app annotation {app.id}.')
+                create_count += 1
+            except Exception as e:
+                click.echo(
+                    click.style('Create app annotation index error: {} {}'.format(e.__class__.__name__, str(e)),
+                                fg='red'))
+                continue
+
+    click.echo(
+        click.style(f'Congratulations! Create {create_count} app annotation indexes, and skipped {skipped_count} apps.',
+                    fg='green'))
+
+
+def migrate_knowledge_vector_database():
+    """
+    Migrate vector database datas to target vector database .
+    """
+    click.echo(click.style('Start migrate vector db.', fg='green'))
+    create_count = 0
+    skipped_count = 0
+    total_count = 0
+    config = current_app.config
+    vector_type = config.get('VECTOR_STORE')
     page = 1
     while True:
         try:
@@ -139,60 +251,128 @@ def create_qdrant_indexes():
         except NotFound:
             break
 
-        model_manager = ModelManager()
-
         page += 1
         for dataset in datasets:
-            if dataset.index_struct_dict:
-                if dataset.index_struct_dict['type'] != 'qdrant':
-                    try:
-                        click.echo('Create dataset qdrant index: {}'.format(dataset.id))
-                        try:
-                            embedding_model = model_manager.get_model_instance(
-                                tenant_id=dataset.tenant_id,
-                                provider=dataset.embedding_model_provider,
-                                model_type=ModelType.TEXT_EMBEDDING,
-                                model=dataset.embedding_model
-
-                            )
-                        except Exception:
-                            continue
-                        embeddings = CacheEmbedding(embedding_model)
-
-                        from core.index.vector_index.qdrant_vector_index import QdrantConfig, QdrantVectorIndex
-
-                        index = QdrantVectorIndex(
-                            dataset=dataset,
-                            config=QdrantConfig(
-                                endpoint=current_app.config.get('QDRANT_URL'),
-                                api_key=current_app.config.get('QDRANT_API_KEY'),
-                                root_path=current_app.root_path
-                            ),
-                            embeddings=embeddings
-                        )
-                        if index:
-                            index.create_qdrant_dataset(dataset)
-                            index_struct = {
-                                "type": 'qdrant',
-                                "vector_store": {
-                                    "class_prefix": dataset.index_struct_dict['vector_store']['class_prefix']}
-                            }
-                            dataset.index_struct = json.dumps(index_struct)
-                            db.session.commit()
-                            create_count += 1
-                        else:
-                            click.echo('passed.')
-                    except Exception as e:
-                        click.echo(
-                            click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)),
-                                        fg='red'))
+            total_count = total_count + 1
+            click.echo(f'Processing the {total_count} dataset {dataset.id}. '
+                       + f'{create_count} created, {skipped_count} skipped.')
+            try:
+                click.echo('Create dataset vdb index: {}'.format(dataset.id))
+                if dataset.index_struct_dict:
+                    if dataset.index_struct_dict['type'] == vector_type:
+                        skipped_count = skipped_count + 1
                         continue
+                collection_name = ''
+                if vector_type == "weaviate":
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": 'weaviate',
+                        "vector_store": {"class_prefix": collection_name}
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == "qdrant":
+                    if dataset.collection_binding_id:
+                        dataset_collection_binding = db.session.query(DatasetCollectionBinding). \
+                            filter(DatasetCollectionBinding.id == dataset.collection_binding_id). \
+                            one_or_none()
+                        if dataset_collection_binding:
+                            collection_name = dataset_collection_binding.collection_name
+                        else:
+                            raise ValueError('Dataset Collection Bindings is not exist!')
+                    else:
+                        dataset_id = dataset.id
+                        collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": 'qdrant',
+                        "vector_store": {"class_prefix": collection_name}
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
 
-    click.echo(click.style('Congratulations! Create {} dataset indexes.'.format(create_count), fg='green'))
+                elif vector_type == "milvus":
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": 'milvus',
+                        "vector_store": {"class_prefix": collection_name}
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                else:
+                    raise ValueError(f"Vector store {config.get('VECTOR_STORE')} is not supported.")
+
+                vector = Vector(dataset)
+                click.echo(f"Start to migrate dataset {dataset.id}.")
+
+                try:
+                    vector.delete()
+                    click.echo(
+                        click.style(f'Successfully delete vector index {collection_name} for dataset {dataset.id}.',
+                                    fg='green'))
+                except Exception as e:
+                    click.echo(
+                        click.style(f'Failed to delete vector index {collection_name} for dataset {dataset.id}.',
+                                    fg='red'))
+                    raise e
+
+                dataset_documents = db.session.query(DatasetDocument).filter(
+                    DatasetDocument.dataset_id == dataset.id,
+                    DatasetDocument.indexing_status == 'completed',
+                    DatasetDocument.enabled == True,
+                    DatasetDocument.archived == False,
+                ).all()
+
+                documents = []
+                segments_count = 0
+                for dataset_document in dataset_documents:
+                    segments = db.session.query(DocumentSegment).filter(
+                        DocumentSegment.document_id == dataset_document.id,
+                        DocumentSegment.status == 'completed',
+                        DocumentSegment.enabled == True
+                    ).all()
+
+                    for segment in segments:
+                        document = Document(
+                            page_content=segment.content,
+                            metadata={
+                                "doc_id": segment.index_node_id,
+                                "doc_hash": segment.index_node_hash,
+                                "document_id": segment.document_id,
+                                "dataset_id": segment.dataset_id,
+                            }
+                        )
+
+                        documents.append(document)
+                        segments_count = segments_count + 1
+
+                if documents:
+                    try:
+                        click.echo(click.style(
+                            f'Start to created vector index with {len(documents)} documents of {segments_count} segments for dataset {dataset.id}.',
+                            fg='green'))
+                        vector.create(documents)
+                        click.echo(
+                            click.style(f'Successfully created vector index for dataset {dataset.id}.', fg='green'))
+                    except Exception as e:
+                        click.echo(click.style(f'Failed to created vector index for dataset {dataset.id}.', fg='red'))
+                        raise e
+                db.session.add(dataset)
+                db.session.commit()
+                click.echo(f'Successfully migrated dataset {dataset.id}.')
+                create_count += 1
+            except Exception as e:
+                db.session.rollback()
+                click.echo(
+                    click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)),
+                                fg='red'))
+                continue
+
+    click.echo(
+        click.style(f'Congratulations! Create {create_count} dataset indexes, and skipped {skipped_count} datasets.',
+                    fg='green'))
 
 
 def register_commands(app):
     app.cli.add_command(reset_password)
     app.cli.add_command(reset_email)
     app.cli.add_command(reset_encrypt_key_pair)
-    app.cli.add_command(create_qdrant_indexes)
+    app.cli.add_command(vdb_migrate)

api/config.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 import os
 
 import dotenv
@@ -23,6 +22,7 @@ DEFAULTS = {
     'SERVICE_API_URL': 'https://api.dify.ai',
     'APP_WEB_URL': 'https://udify.app',
     'FILES_URL': '',
+    'S3_ADDRESS_STYLE': 'auto',
     'STORAGE_TYPE': 'local',
     'STORAGE_LOCAL_PATH': 'storage',
     'CHECK_UPDATE_URL': 'https://updates.dify.ai',
@@ -39,7 +39,9 @@ DEFAULTS = {
     'LOG_LEVEL': 'INFO',
     'HOSTED_OPENAI_QUOTA_LIMIT': 200,
     'HOSTED_OPENAI_TRIAL_ENABLED': 'False',
+    'HOSTED_OPENAI_TRIAL_MODELS': 'gpt-3.5-turbo,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-16k,gpt-3.5-turbo-16k-0613,gpt-3.5-turbo-0613,gpt-3.5-turbo-0125,text-davinci-003',
     'HOSTED_OPENAI_PAID_ENABLED': 'False',
+    'HOSTED_OPENAI_PAID_MODELS': 'gpt-4,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-4-0125-preview,gpt-3.5-turbo,gpt-3.5-turbo-16k,gpt-3.5-turbo-16k-0613,gpt-3.5-turbo-1106,gpt-3.5-turbo-0613,gpt-3.5-turbo-0125,gpt-3.5-turbo-instruct,text-davinci-003',
     'HOSTED_AZURE_OPENAI_ENABLED': 'False',
     'HOSTED_AZURE_OPENAI_QUOTA_LIMIT': 200,
     'HOSTED_ANTHROPIC_QUOTA_LIMIT': 600000,
@@ -57,6 +59,9 @@ DEFAULTS = {
     'BILLING_ENABLED': 'False',
     'CAN_REPLACE_LOGO': 'False',
     'ETL_TYPE': 'dify',
+    'KEYWORD_STORE': 'jieba',
+    'BATCH_UPLOAD_LIMIT': 20,
+    'TOOL_ICON_CACHE_MAX_AGE': 3600,
 }
 
 
@@ -87,7 +92,7 @@ class Config:
         # ------------------------
         # General Configurations.
         # ------------------------
-        self.CURRENT_VERSION = "0.5.3"
+        self.CURRENT_VERSION = "0.5.11"
         self.COMMIT_SHA = get_env('COMMIT_SHA')
         self.EDITION = "SELF_HOSTED"
         self.DEPLOY_ENV = get_env('DEPLOY_ENV')
@@ -177,13 +182,18 @@ class Config:
         self.S3_ACCESS_KEY = get_env('S3_ACCESS_KEY')
         self.S3_SECRET_KEY = get_env('S3_SECRET_KEY')
         self.S3_REGION = get_env('S3_REGION')
+        self.S3_ADDRESS_STYLE = get_env('S3_ADDRESS_STYLE')
+        self.AZURE_BLOB_ACCOUNT_NAME = get_env('AZURE_BLOB_ACCOUNT_NAME')
+        self.AZURE_BLOB_ACCOUNT_KEY = get_env('AZURE_BLOB_ACCOUNT_KEY')
+        self.AZURE_BLOB_CONTAINER_NAME = get_env('AZURE_BLOB_CONTAINER_NAME')
+        self.AZURE_BLOB_ACCOUNT_URL = get_env('AZURE_BLOB_ACCOUNT_URL')
 
         # ------------------------
         # Vector Store Configurations.
         # Currently, only support: qdrant, milvus, zilliz, weaviate
         # ------------------------
         self.VECTOR_STORE = get_env('VECTOR_STORE')
-
+        self.KEYWORD_STORE = get_env('KEYWORD_STORE')
         # qdrant settings
         self.QDRANT_URL = get_env('QDRANT_URL')
         self.QDRANT_API_KEY = get_env('QDRANT_API_KEY')
@@ -209,6 +219,12 @@ class Config:
         self.MAIL_DEFAULT_SEND_FROM = get_env('MAIL_DEFAULT_SEND_FROM')
         self.RESEND_API_KEY = get_env('RESEND_API_KEY')
         self.RESEND_API_URL = get_env('RESEND_API_URL')
+        # SMTP settings
+        self.SMTP_SERVER = get_env('SMTP_SERVER')
+        self.SMTP_PORT = get_env('SMTP_PORT')
+        self.SMTP_USERNAME = get_env('SMTP_USERNAME')
+        self.SMTP_PASSWORD = get_env('SMTP_PASSWORD')
+        self.SMTP_USE_TLS = get_bool_env('SMTP_USE_TLS')
         
         # ------------------------
         # Workpace Configurations.
@@ -254,8 +270,10 @@ class Config:
         self.HOSTED_OPENAI_API_BASE = get_env('HOSTED_OPENAI_API_BASE')
         self.HOSTED_OPENAI_API_ORGANIZATION = get_env('HOSTED_OPENAI_API_ORGANIZATION')
         self.HOSTED_OPENAI_TRIAL_ENABLED = get_bool_env('HOSTED_OPENAI_TRIAL_ENABLED')
+        self.HOSTED_OPENAI_TRIAL_MODELS = get_env('HOSTED_OPENAI_TRIAL_MODELS')
         self.HOSTED_OPENAI_QUOTA_LIMIT = int(get_env('HOSTED_OPENAI_QUOTA_LIMIT'))
         self.HOSTED_OPENAI_PAID_ENABLED = get_bool_env('HOSTED_OPENAI_PAID_ENABLED')
+        self.HOSTED_OPENAI_PAID_MODELS = get_env('HOSTED_OPENAI_PAID_MODELS')
 
         self.HOSTED_AZURE_OPENAI_ENABLED = get_bool_env('HOSTED_AZURE_OPENAI_ENABLED')
         self.HOSTED_AZURE_OPENAI_API_KEY = get_env('HOSTED_AZURE_OPENAI_API_KEY')
@@ -280,6 +298,11 @@ class Config:
         self.BILLING_ENABLED = get_bool_env('BILLING_ENABLED')
         self.CAN_REPLACE_LOGO = get_bool_env('CAN_REPLACE_LOGO')
 
+        self.BATCH_UPLOAD_LIMIT = get_env('BATCH_UPLOAD_LIMIT')
+
+        self.API_COMPRESSION_ENABLED = get_bool_env('API_COMPRESSION_ENABLED')
+        self.TOOL_ICON_CACHE_MAX_AGE = get_env('TOOL_ICON_CACHE_MAX_AGE')
+
 
 class CloudEditionConfig(Config):
 

api/constants/languages.py

@@ -1,9 +1,8 @@
-
 import json
 
 from models.model import AppModelConfig
 
-languages = ['en-US', 'zh-Hans', 'pt-BR', 'es-ES', 'fr-FR', 'de-DE', 'ja-JP', 'ko-KR', 'ru-RU', 'it-IT']
+languages = ['en-US', 'zh-Hans', 'pt-BR', 'es-ES', 'fr-FR', 'de-DE', 'ja-JP', 'ko-KR', 'ru-RU', 'it-IT', 'uk-UA', 'vi-VN']
 
 language_timezone_mapping = {
     'en-US': 'America/New_York',
@@ -16,8 +15,11 @@ language_timezone_mapping = {
     'ko-KR': 'Asia/Seoul',
     'ru-RU': 'Europe/Moscow',
     'it-IT': 'Europe/Rome',
+    'uk-UA': 'Europe/Kyiv',
+    'vi-VN': 'Asia/Ho_Chi_Minh',
 }
 
+
 def supported_language(lang):
     if lang in languages:
         return lang
@@ -26,6 +28,7 @@ def supported_language(lang):
              .format(lang=lang))
     raise ValueError(error)
 
+
 user_input_form_template = {
     "en-US": [
         {
@@ -67,6 +70,26 @@ user_input_form_template = {
             }
         }
     ],
+    "ua-UK": [
+        {
+            "paragraph": {
+                "label": "Запит",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
+     "vi-VN": [
+        {
+            "paragraph": {
+                "label": "Nội dung truy vấn",
+                "variable": "default_input",
+                "required": False,
+                "default": ""
+            }
+        }
+    ],
 }
 
 demo_model_templates = {
@@ -145,7 +168,7 @@ demo_model_templates = {
                                 'Italian',
                             ]
                         }
-                    },{
+                    }, {
                         "paragraph": {
                             "label": "Query",
                             "variable": "query",
@@ -196,7 +219,6 @@ demo_model_templates = {
             )
         }
     ],
-
     'zh-Hans': [
         {
             'name': '翻译助手',
@@ -272,7 +294,7 @@ demo_model_templates = {
                                 "意大利语",
                             ]
                         }
-                    },{
+                    }, {
                         "paragraph": {
                             "label": "文本内容",
                             "variable": "query",
@@ -323,5 +345,258 @@ demo_model_templates = {
             )
         }
     ],
-
+    'uk-UA': [
+        {
+            "name": "Помічник перекладу",
+            "icon": "",
+            "icon_background": "",
+            "description": "Багатомовний перекладач, який надає можливості перекладу різними мовами, перекладаючи введені користувачем дані на потрібну мову.",
+            "mode": "completion",
+            "model_config": AppModelConfig(
+                provider="openai",
+                model_id="gpt-3.5-turbo-instruct",
+                configs={
+                    "prompt_template": "Будь ласка, перекладіть наступний текст на {{target_language}}:\n",
+                    "prompt_variables": [
+                        {
+                            "key": "target_language",
+                            "name": "Цільова мова",
+                            "description": "Мова, на яку ви хочете перекласти.",
+                            "type": "select",
+                            "default": "Ukrainian",
+                            "options": [
+                                "Chinese",
+                                "English",
+                                "Japanese",
+                                "French",
+                                "Russian",
+                                "German",
+                                "Spanish",
+                                "Korean",
+                                "Italian",
+                            ],
+                        },
+                    ],
+                    "completion_params": {
+                        "max_token": 1000,
+                        "temperature": 0,
+                        "top_p": 0,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1,
+                    },
+                },
+                opening_statement="",
+                suggested_questions=None,
+                pre_prompt="Будь ласка, перекладіть наступний текст на {{target_language}}:\n{{query}}\ntranslate:",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo-instruct",
+                    "mode": "completion",
+                    "completion_params": {
+                        "max_tokens": 1000,
+                        "temperature": 0,
+                        "top_p": 0,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1,
+                    },
+                }),
+                user_input_form=json.dumps([
+                    {
+                        "select": {
+                            "label": "Цільова мова",
+                            "variable": "target_language",
+                            "description": "Мова, на яку ви хочете перекласти.",
+                            "default": "Chinese",
+                            "required": True,
+                            'options': [
+                                'Chinese',
+                                'English',
+                                'Japanese',
+                                'French',
+                                'Russian',
+                                'German',
+                                'Spanish',
+                                'Korean',
+                                'Italian',
+                            ]
+                        }
+                    }, {
+                        "paragraph": {
+                            "label": "Запит",
+                            "variable": "query",
+                            "required": True,
+                            "default": ""
+                        }
+                    }
+                ])
+            )
+        },
+        {
+            "name": "AI інтерв’юер фронтенду",
+            "icon": "",
+            "icon_background": "",
+            "description": "Симульований інтерв’юер фронтенду, який перевіряє рівень кваліфікації у розробці фронтенду через опитування.",
+            "mode": "chat",
+            "model_config": AppModelConfig(
+                provider="openai",
+                model_id="gpt-3.5-turbo",
+                configs={
+                    "introduction": "Привіт, ласкаво просимо на наше співбесіду. Я інтерв'юер цієї технологічної компанії, і я перевірю ваші навички веб-розробки фронтенду. Далі я поставлю вам декілька технічних запитань. Будь ласка, відповідайте якомога ретельніше. ",
+                    "prompt_template": "Ви будете грати роль інтерв'юера технологічної компанії, перевіряючи навички розробки фронтенду користувача та ставлячи 5-10 чітких технічних питань.\n\nЗверніть увагу:\n- Ставте лише одне запитання за раз.\n- Після того, як користувач відповість на запитання, ставте наступне запитання безпосередньо, не намагаючись виправити будь-які помилки, допущені кандидатом.\n- Якщо ви вважаєте, що користувач не відповів правильно на кілька питань поспіль, задайте менше запитань.\n- Після того, як ви задали останнє запитання, ви можете поставити таке запитання: Чому ви залишили свою попередню роботу? Після того, як користувач відповість на це питання, висловіть своє розуміння та підтримку.\n",
+                    "prompt_variables": [],
+                    "completion_params": {
+                        "max_token": 300,
+                        "temperature": 0.8,
+                        "top_p": 0.9,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1,
+                    },
+                },
+                opening_statement="Привіт, ласкаво просимо на наше співбесіду. Я інтерв'юер цієї технологічної компанії, і я перевірю ваші навички веб-розробки фронтенду. Далі я поставлю вам декілька технічних запитань. Будь ласка, відповідайте якомога ретельніше. ",
+                suggested_questions=None,
+                pre_prompt="Ви будете грати роль інтерв'юера технологічної компанії, перевіряючи навички розробки фронтенду користувача та ставлячи 5-10 чітких технічних питань.\n\nЗверніть увагу:\n- Ставте лише одне запитання за раз.\n- Після того, як користувач відповість на запитання, ставте наступне запитання безпосередньо, не намагаючись виправити будь-які помилки, допущені кандидатом.\n- Якщо ви вважаєте, що користувач не відповів правильно на кілька питань поспіль, задайте менше запитань.\n- Після того, як ви задали останнє запитання, ви можете поставити таке запитання: Чому ви залишили свою попередню роботу? Після того, як користувач відповість на це питання, висловіть своє розуміння та підтримку.\n",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {
+                        "max_tokens": 300,
+                        "temperature": 0.8,
+                        "top_p": 0.9,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1,
+                    },
+                }),
+                user_input_form=None
+            ),
+        }
+    ],
+    'vi-VN': [
+        {
+            'name': 'Trợ lý dịch thuật',
+            'icon': '',
+            'icon_background': '',
+            'description': 'Trình dịch đa ngôn ngữ cung cấp khả năng dịch bằng nhiều ngôn ngữ, dịch thông tin đầu vào của người dùng sang ngôn ngữ họ cần.',
+            'mode': 'completion',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo-instruct',
+                configs={
+                    'prompt_template': "Hãy dịch đoạn văn bản sau sang ngôn ngữ {{target_language}}:\n",
+                    'prompt_variables': [
+                        {
+                            "key": "target_language",
+                            "name": "Ngôn ngữ đích",
+                            "description": "Ngôn ngữ bạn muốn dịch sang.",
+                            "type": "select",
+                            "default": "Vietnamese",
+                            'options': [
+                                'Chinese',
+                                'English',
+                                'Japanese',
+                                'French',
+                                'Russian',
+                                'German',
+                                'Spanish',
+                                'Korean',
+                                'Italian',
+                                'Vietnamese',
+                            ]
+                        }
+                    ],
+                    'completion_params': {
+                        'max_token': 1000,
+                        'temperature': 0,
+                        'top_p': 0,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='',
+                suggested_questions=None,
+                pre_prompt="Hãy dịch đoạn văn bản sau sang {{target_language}}:\n{{query}}\ndịch:",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo-instruct",
+                    "mode": "completion",
+                    "completion_params": {
+                        "max_tokens": 1000,
+                        "temperature": 0,
+                        "top_p": 0,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=json.dumps([
+                    {
+                        "select": {
+                            "label": "Ngôn ngữ đích",
+                            "variable": "target_language",
+                            "description": "Ngôn ngữ bạn muốn dịch sang.",
+                            "default": "Vietnamese",
+                            "required": True,
+                            'options': [
+                                'Chinese',
+                                'English',
+                                'Japanese',
+                                'French',
+                                'Russian',
+                                'German',
+                                'Spanish',
+                                'Korean',
+                                'Italian',
+                                'Vietnamese',
+                            ]
+                        }
+                    }, {
+                        "paragraph": {
+                            "label": "Query",
+                            "variable": "query",
+                            "required": True,
+                            "default": ""
+                        }
+                    }
+                ])
+            )
+        },
+        {
+            'name': 'Phỏng vấn front-end AI',
+            'icon': '',
+            'icon_background': '',
+            'description': 'Một người phỏng vấn front-end mô phỏng để kiểm tra mức độ kỹ năng phát triển front-end thông qua việc đặt câu hỏi.',
+            'mode': 'chat',
+            'model_config': AppModelConfig(
+                provider='openai',
+                model_id='gpt-3.5-turbo',
+                configs={
+                    'introduction': 'Xin chào, chào mừng đến với cuộc phỏng vấn của chúng tôi. Tôi là người phỏng vấn cho công ty công nghệ này và tôi sẽ kiểm tra kỹ năng phát triển web front-end của bạn. Tiếp theo, tôi sẽ hỏi bạn một số câu hỏi kỹ thuật. Hãy trả lời chúng càng kỹ lưỡng càng tốt. ',
+                    'prompt_template': "Bạn sẽ đóng vai người phỏng vấn cho một công ty công nghệ, kiểm tra kỹ năng phát triển web front-end của người dùng và đặt ra 5-10 câu hỏi kỹ thuật sắc bén.\n\nXin lưu ý:\n- Mỗi lần chỉ hỏi một câu hỏi.\n - Sau khi người dùng trả lời một câu hỏi, hãy hỏi trực tiếp câu hỏi tiếp theo mà không cố gắng sửa bất kỳ lỗi nào mà thí sinh mắc phải.\n- Nếu bạn cho rằng người dùng đã không trả lời đúng cho một số câu hỏi liên tiếp, hãy hỏi ít câu hỏi hơn.\n- Sau đặt câu hỏi cuối cùng, bạn có thể hỏi câu hỏi này: Tại sao bạn lại rời bỏ công việc cuối cùng của mình? Sau khi người dùng trả lời câu hỏi này, vui lòng bày tỏ sự hiểu biết và ủng hộ của bạn.\n",
+                    'prompt_variables': [],
+                    'completion_params': {
+                        'max_token': 300,
+                        'temperature': 0.8,
+                        'top_p': 0.9,
+                        'presence_penalty': 0.1,
+                        'frequency_penalty': 0.1,
+                    }
+                },
+                opening_statement='Xin chào, chào mừng đến với cuộc phỏng vấn của chúng tôi. Tôi là người phỏng vấn cho công ty công nghệ này và tôi sẽ kiểm tra kỹ năng phát triển web front-end của bạn. Tiếp theo, tôi sẽ hỏi bạn một số câu hỏi kỹ thuật. Hãy trả lời chúng càng kỹ lưỡng càng tốt. ',
+                suggested_questions=None,
+                pre_prompt="Bạn sẽ đóng vai người phỏng vấn cho một công ty công nghệ, kiểm tra kỹ năng phát triển web front-end của người dùng và đặt ra 5-10 câu hỏi kỹ thuật sắc bén.\n\nXin lưu ý:\n- Mỗi lần chỉ hỏi một câu hỏi.\n - Sau khi người dùng trả lời một câu hỏi, hãy hỏi trực tiếp câu hỏi tiếp theo mà không cố gắng sửa bất kỳ lỗi nào mà thí sinh mắc phải.\n- Nếu bạn cho rằng người dùng đã không trả lời đúng cho một số câu hỏi liên tiếp, hãy hỏi ít câu hỏi hơn.\n- Sau đặt câu hỏi cuối cùng, bạn có thể hỏi câu hỏi này: Tại sao bạn lại rời bỏ công việc cuối cùng của mình? Sau khi người dùng trả lời câu hỏi này, vui lòng bày tỏ sự hiểu biết và ủng hộ của bạn.\n",
+                model=json.dumps({
+                    "provider": "openai",
+                    "name": "gpt-3.5-turbo",
+                    "mode": "chat",
+                    "completion_params": {
+                        "max_tokens": 300,
+                        "temperature": 0.8,
+                        "top_p": 0.9,
+                        "presence_penalty": 0.1,
+                        "frequency_penalty": 0.1
+                    }
+                }),
+                user_input_form=None
+            )
+        }
+    ],
 }

api/constants/model_template.py

@@ -1,7 +1,5 @@
 import json
 
-from models.model import App, AppModelConfig
-
 model_templates = {
     # completion default mode
     'completion_default': {
@@ -15,30 +13,14 @@ model_templates = {
             'status': 'normal'
         },
         'model_config': {
-            'provider': 'openai',
-            'model_id': 'gpt-3.5-turbo-instruct',
-            'configs': {
-                'prompt_template': '',
-                'prompt_variables': [],
-                'completion_params': {
-                    'max_token': 512,
-                    'temperature': 1,
-                    'top_p': 1,
-                    'presence_penalty': 0,
-                    'frequency_penalty': 0,
-                }
-            },
+            'provider': '',
+            'model_id': '',
+            'configs': {},
             'model': json.dumps({
                 "provider": "openai",
                 "name": "gpt-3.5-turbo-instruct",
                 "mode": "completion",
-                "completion_params": {
-                    "max_tokens": 512,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0
-                }
+                "completion_params": {}
             }),
             'user_input_form': json.dumps([
                 {
@@ -66,30 +48,14 @@ model_templates = {
             'status': 'normal'
         },
         'model_config': {
-            'provider': 'openai',
-            'model_id': 'gpt-3.5-turbo',
-            'configs': {
-                'prompt_template': '',
-                'prompt_variables': [],
-                'completion_params': {
-                    'max_token': 512,
-                    'temperature': 1,
-                    'top_p': 1,
-                    'presence_penalty': 0,
-                    'frequency_penalty': 0,
-                }
-            },
+            'provider': '',
+            'model_id': '',
+            'configs': {},
             'model': json.dumps({
                 "provider": "openai",
                 "name": "gpt-3.5-turbo",
                 "mode": "chat",
-                "completion_params": {
-                    "max_tokens": 512,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0
-                }
+                "completion_params": {}
             })
         }
     },

api/controllers/console/admin.py

@@ -1,14 +1,15 @@
 import os
 from functools import wraps
 
+from flask import request
+from flask_restful import Resource, reqparse
+from werkzeug.exceptions import NotFound, Unauthorized
+
 from constants.languages import supported_language
 from controllers.console import api
 from controllers.console.wraps import only_edition_cloud
 from extensions.ext_database import db
-from flask import request
-from flask_restful import Resource, reqparse
 from models.model import App, InstalledApp, RecommendedApp
-from werkzeug.exceptions import NotFound, Unauthorized
 
 
 def admin_required(view):

api/controllers/console/apikey.py

@@ -1,12 +1,13 @@
 import flask_restful
-from extensions.ext_database import db
 from flask_login import current_user
 from flask_restful import Resource, fields, marshal_with
+from werkzeug.exceptions import Forbidden
+
+from extensions.ext_database import db
 from libs.helper import TimestampField
 from libs.login import login_required
 from models.dataset import Dataset
 from models.model import ApiToken, App
-from werkzeug.exceptions import Forbidden
 
 from . import api
 from .setup import setup_required

api/controllers/console/app/advanced_prompt_template.py

@@ -1,7 +1,8 @@
+from flask_restful import Resource, reqparse
+
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from flask_restful import Resource, reqparse
 from libs.login import login_required
 from services.advanced_prompt_template_service import AdvancedPromptTemplateService
 

api/controllers/console/app/annotation.py

@@ -1,17 +1,20 @@
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource, marshal, marshal_with, reqparse
+from werkzeug.exceptions import Forbidden
+
 from controllers.console import api
 from controllers.console.app.error import NoFileUploadedError
 from controllers.console.datasets.error import TooManyFilesError
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
 from extensions.ext_redis import redis_client
-from fields.annotation_fields import (annotation_fields, annotation_hit_history_fields,
-                                      annotation_hit_history_list_fields, annotation_list_fields)
-from flask import request
-from flask_login import current_user
-from flask_restful import Resource, marshal, marshal_with, reqparse
+from fields.annotation_fields import (
+    annotation_fields,
+    annotation_hit_history_fields,
+)
 from libs.login import login_required
 from services.annotation_service import AppAnnotationService
-from werkzeug.exceptions import Forbidden
 
 
 class AnnotationReplyActionApi(Resource):

api/controllers/console/app/app.py

@@ -1,8 +1,11 @@
-# -*- coding:utf-8 -*-
 import json
 import logging
 from datetime import datetime
 
+from flask_login import current_user
+from flask_restful import Resource, abort, inputs, marshal_with, reqparse
+from werkzeug.exceptions import Forbidden
+
 from constants.languages import demo_model_templates, languages
 from constants.model_template import model_templates
 from controllers.console import api
@@ -15,17 +18,18 @@ from core.model_runtime.entities.model_entities import ModelType
 from core.provider_manager import ProviderManager
 from events.app_event import app_was_created, app_was_deleted
 from extensions.ext_database import db
-from fields.app_fields import (app_detail_fields, app_detail_fields_with_site, app_pagination_fields,
-                               template_list_fields)
-from flask import current_app
-from flask_login import current_user
-from flask_restful import Resource, abort, inputs, marshal_with, reqparse
+from fields.app_fields import (
+    app_detail_fields,
+    app_detail_fields_with_site,
+    app_pagination_fields,
+    template_list_fields,
+)
 from libs.login import login_required
 from models.model import App, AppModelConfig, Site
-from models.tools import ApiToolProvider
 from services.app_model_config_service import AppModelConfigService
-from werkzeug.exceptions import Forbidden
-
+from core.tools.utils.configuration import ToolParameterConfigurationManager
+from core.tools.tool_manager import ToolManager
+from core.entities.application_entities import AgentToolEntity
 
 def _get_app(app_id, tenant_id):
     app = db.session.query(App).filter(App.id == app_id, App.tenant_id == tenant_id).first()
@@ -122,19 +126,13 @@ class AppListApi(Resource):
             available_models_names = [f'{model.provider.provider}.{model.model}' for model in available_models]
             provider_model = f"{model_config_dict['model']['provider']}.{model_config_dict['model']['name']}"
             if provider_model not in available_models_names:
-                model_manager = ModelManager()
-                model_instance = model_manager.get_default_model_instance(
-                    tenant_id=current_user.current_tenant_id,
-                    model_type=ModelType.LLM
-                )
-
-                if not model_instance:
+                if not default_model_entity:
                     raise ProviderNotInitializeError(
-                        f"No Default System Reasoning Model available. Please configure "
-                        f"in the Settings -> Model Provider.")
+                        "No Default System Reasoning Model available. Please configure "
+                        "in the Settings -> Model Provider.")
                 else:
-                    model_config_dict["model"]["provider"] = model_instance.provider
-                    model_config_dict["model"]["name"] = model_instance.model
+                    model_config_dict["model"]["provider"] = default_model_entity.provider.provider
+                    model_config_dict["model"]["name"] = default_model_entity.model
 
             model_configuration = AppModelConfigService.validate_configuration(
                 tenant_id=current_user.current_tenant_id,
@@ -240,7 +238,44 @@ class AppApi(Resource):
     def get(self, app_id):
         """Get app detail"""
         app_id = str(app_id)
-        app = _get_app(app_id, current_user.current_tenant_id)
+        app: App = _get_app(app_id, current_user.current_tenant_id)
+
+        # get original app model config
+        model_config: AppModelConfig = app.app_model_config
+        agent_mode = model_config.agent_mode_dict
+        # decrypt agent tool parameters if it's secret-input
+        for tool in agent_mode.get('tools') or []:
+            if not isinstance(tool, dict) or len(tool.keys()) <= 3:
+                continue
+            agent_tool_entity = AgentToolEntity(**tool)
+            # get tool
+            try:
+                tool_runtime = ToolManager.get_agent_tool_runtime(
+                    tenant_id=current_user.current_tenant_id,
+                    agent_tool=agent_tool_entity,
+                    agent_callback=None
+                )
+                manager = ToolParameterConfigurationManager(
+                    tenant_id=current_user.current_tenant_id,
+                    tool_runtime=tool_runtime,
+                    provider_name=agent_tool_entity.provider_id,
+                    provider_type=agent_tool_entity.provider_type,
+                )
+
+                # get decrypted parameters
+                if agent_tool_entity.tool_parameters:
+                    parameters = manager.decrypt_tool_parameters(agent_tool_entity.tool_parameters or {})
+                    masked_parameter = manager.mask_tool_parameters(parameters or {})
+                else:
+                    masked_parameter = {}
+
+                # override tool parameters
+                tool['tool_parameters'] = masked_parameter
+            except Exception as e:
+                pass
+
+        # override agent mode
+        model_config.agent_mode = json.dumps(agent_mode)
 
         return app
 

api/controllers/console/app/audio.py

@@ -1,24 +1,35 @@
-# -*- coding:utf-8 -*-
 import logging
 
+from flask import request
+from flask_restful import Resource, reqparse
+from werkzeug.exceptions import InternalServerError
+
 import services
 from controllers.console import api
 from controllers.console.app import _get_app
-from controllers.console.app.error import (AppUnavailableError, AudioTooLargeError, CompletionRequestError,
-                                           NoAudioUploadedError, ProviderModelCurrentlyNotSupportError,
-                                           ProviderNotInitializeError, ProviderNotSupportSpeechToTextError,
-                                           ProviderQuotaExceededError, UnsupportedAudioTypeError)
+from controllers.console.app.error import (
+    AppUnavailableError,
+    AudioTooLargeError,
+    CompletionRequestError,
+    NoAudioUploadedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderNotSupportSpeechToTextError,
+    ProviderQuotaExceededError,
+    UnsupportedAudioTypeError,
+)
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from flask import request
-from flask_restful import Resource
 from libs.login import login_required
 from services.audio_service import AudioService
-from services.errors.audio import (AudioTooLargeServiceError, NoAudioUploadedServiceError,
-                                   ProviderNotSupportSpeechToTextServiceError, UnsupportedAudioTypeServiceError)
-from werkzeug.exceptions import InternalServerError
+from services.errors.audio import (
+    AudioTooLargeServiceError,
+    NoAudioUploadedServiceError,
+    ProviderNotSupportSpeechToTextServiceError,
+    UnsupportedAudioTypeServiceError,
+)
 
 
 class ChatMessageAudioApi(Resource):
@@ -34,7 +45,8 @@ class ChatMessageAudioApi(Resource):
         try:
             response = AudioService.transcript_asr(
                 tenant_id=app_model.tenant_id,
-                file=file
+                file=file,
+                end_user=None,
             )
 
             return response
@@ -60,7 +72,7 @@ class ChatMessageAudioApi(Resource):
         except ValueError as e:
             raise e
         except Exception as e:
-            logging.exception("internal server error.")
+            logging.exception(f"internal server error, {str(e)}.")
             raise InternalServerError()
 
 
@@ -71,10 +83,12 @@ class ChatMessageTextApi(Resource):
     def post(self, app_id):
         app_id = str(app_id)
         app_model = _get_app(app_id, None)
+
         try:
             response = AudioService.transcript_tts(
                 tenant_id=app_model.tenant_id,
                 text=request.form['text'],
+                voice=request.form['voice'] if request.form['voice'] else app_model.app_model_config.text_to_speech_dict.get('voice'),
                 streaming=False
             )
 
@@ -101,9 +115,50 @@ class ChatMessageTextApi(Resource):
         except ValueError as e:
             raise e
         except Exception as e:
-            logging.exception("internal server error.")
+            logging.exception(f"internal server error, {str(e)}.")
+            raise InternalServerError()
+
+
+class TextModesApi(Resource):
+    def get(self, app_id: str):
+        app_model = _get_app(str(app_id))
+
+        try:
+            parser = reqparse.RequestParser()
+            parser.add_argument('language', type=str, required=True, location='args')
+            args = parser.parse_args()
+
+            response = AudioService.transcript_tts_voices(
+                tenant_id=app_model.tenant_id,
+                language=args['language'],
+            )
+
+            return response
+        except services.errors.audio.ProviderNotSupportTextToSpeechLanageServiceError:
+            raise AppUnavailableError("Text to audio voices language parameter loss.")
+        except NoAudioUploadedServiceError:
+            raise NoAudioUploadedError()
+        except AudioTooLargeServiceError as e:
+            raise AudioTooLargeError(str(e))
+        except UnsupportedAudioTypeServiceError:
+            raise UnsupportedAudioTypeError()
+        except ProviderNotSupportSpeechToTextServiceError:
+            raise ProviderNotSupportSpeechToTextError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
+        except QuotaExceededError:
+            raise ProviderQuotaExceededError()
+        except ModelCurrentlyNotSupportError:
+            raise ProviderModelCurrentlyNotSupportError()
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
+        except ValueError as e:
+            raise e
+        except Exception as e:
+            logging.exception(f"internal server error, {str(e)}.")
             raise InternalServerError()
 
 
 api.add_resource(ChatMessageAudioApi, '/apps/<uuid:app_id>/audio-to-text')
 api.add_resource(ChatMessageTextApi, '/apps/<uuid:app_id>/text-to-audio')
+api.add_resource(TextModesApi, '/apps/<uuid:app_id>/text-to-audio/voices')

api/controllers/console/app/completion.py

@@ -1,27 +1,33 @@
-# -*- coding:utf-8 -*-
 import json
 import logging
-from typing import Generator, Union
+from collections.abc import Generator
+from typing import Union
 
 import flask_login
+from flask import Response, stream_with_context
+from flask_restful import Resource, reqparse
+from werkzeug.exceptions import InternalServerError, NotFound
+
 import services
 from controllers.console import api
 from controllers.console.app import _get_app
-from controllers.console.app.error import (AppUnavailableError, CompletionRequestError, ConversationCompletedError,
-                                           ProviderModelCurrentlyNotSupportError, ProviderNotInitializeError,
-                                           ProviderQuotaExceededError)
+from controllers.console.app.error import (
+    AppUnavailableError,
+    CompletionRequestError,
+    ConversationCompletedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
 from core.application_queue_manager import ApplicationQueueManager
 from core.entities.application_entities import InvokeFrom
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from flask import Response, stream_with_context
-from flask_restful import Resource, reqparse
 from libs.helper import uuid_value
 from libs.login import login_required
 from services.completion_service import CompletionService
-from werkzeug.exceptions import InternalServerError, NotFound
 
 
 # define completion message api for user
@@ -163,8 +169,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            for chunk in response:
-                yield chunk
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')

api/controllers/console/app/conversation.py

@@ -1,22 +1,27 @@
 from datetime import datetime
 
 import pytz
+from flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
+from flask_restful.inputs import int_range
+from sqlalchemy import func, or_
+from sqlalchemy.orm import joinedload
+from werkzeug.exceptions import NotFound
+
 from controllers.console import api
 from controllers.console.app import _get_app
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
 from extensions.ext_database import db
-from fields.conversation_fields import (conversation_detail_fields, conversation_message_detail_fields,
-                                        conversation_pagination_fields, conversation_with_summary_pagination_fields)
-from flask_login import current_user
-from flask_restful import Resource, marshal_with, reqparse
-from flask_restful.inputs import int_range
+from fields.conversation_fields import (
+    conversation_detail_fields,
+    conversation_message_detail_fields,
+    conversation_pagination_fields,
+    conversation_with_summary_pagination_fields,
+)
 from libs.helper import datetime_string
 from libs.login import login_required
 from models.model import Conversation, Message, MessageAnnotation
-from sqlalchemy import func, or_
-from sqlalchemy.orm import joinedload
-from werkzeug.exceptions import NotFound
 
 
 class CompletionConversationApi(Resource):

api/controllers/console/app/generator.py

@@ -1,13 +1,18 @@
+from flask_login import current_user
+from flask_restful import Resource, reqparse
+
 from controllers.console import api
-from controllers.console.app.error import (CompletionRequestError, ProviderModelCurrentlyNotSupportError,
-                                           ProviderNotInitializeError, ProviderQuotaExceededError)
+from controllers.console.app.error import (
+    CompletionRequestError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.generator.llm_generator import LLMGenerator
 from core.model_runtime.errors.invoke import InvokeError
-from flask_login import current_user
-from flask_restful import Resource, reqparse
 from libs.login import login_required
 
 

api/controllers/console/app/message.py

@@ -1,12 +1,23 @@
 import json
 import logging
-from typing import Generator, Union
+from collections.abc import Generator
+from typing import Union
+
+from flask import Response, stream_with_context
+from flask_login import current_user
+from flask_restful import Resource, fields, marshal_with, reqparse
+from flask_restful.inputs import int_range
+from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
 from controllers.console import api
 from controllers.console.app import _get_app
-from controllers.console.app.error import (AppMoreLikeThisDisabledError, CompletionRequestError,
-                                           ProviderModelCurrentlyNotSupportError, ProviderNotInitializeError,
-                                           ProviderQuotaExceededError)
+from controllers.console.app.error import (
+    AppMoreLikeThisDisabledError,
+    CompletionRequestError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
 from core.entities.application_entities import InvokeFrom
@@ -14,10 +25,6 @@ from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotIni
 from core.model_runtime.errors.invoke import InvokeError
 from extensions.ext_database import db
 from fields.conversation_fields import annotation_fields, message_detail_fields
-from flask import Response, stream_with_context
-from flask_login import current_user
-from flask_restful import Resource, fields, marshal_with, reqparse
-from flask_restful.inputs import int_range
 from libs.helper import uuid_value
 from libs.infinite_scroll_pagination import InfiniteScrollPagination
 from libs.login import login_required
@@ -28,7 +35,6 @@ from services.errors.app import MoreLikeThisDisabledError
 from services.errors.conversation import ConversationNotExistsError
 from services.errors.message import MessageNotExistsError
 from services.message_service import MessageService
-from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
 
 class ChatMessageListApi(Resource):
@@ -241,8 +247,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            for chunk in response:
-                yield chunk
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')

api/controllers/console/app/model_config.py

@@ -1,14 +1,18 @@
-# -*- coding:utf-8 -*-
+import json
+
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource
 
 from controllers.console import api
 from controllers.console.app import _get_app
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
+from core.entities.application_entities import AgentToolEntity
+from core.tools.tool_manager import ToolManager
+from core.tools.utils.configuration import ToolParameterConfigurationManager
 from events.app_event import app_model_config_was_updated
 from extensions.ext_database import db
-from flask import request
-from flask_login import current_user
-from flask_restful import Resource
 from libs.login import login_required
 from models.model import AppModelConfig
 from services.app_model_config_service import AppModelConfigService
@@ -38,6 +42,91 @@ class ModelConfigResource(Resource):
         )
         new_app_model_config = new_app_model_config.from_model_config_dict(model_configuration)
 
+        # get original app model config
+        original_app_model_config: AppModelConfig = db.session.query(AppModelConfig).filter(
+            AppModelConfig.id == app.app_model_config_id
+        ).first()
+        agent_mode = original_app_model_config.agent_mode_dict
+        # decrypt agent tool parameters if it's secret-input
+        parameter_map = {}
+        masked_parameter_map = {}
+        tool_map = {}
+        for tool in agent_mode.get('tools') or []:
+            if not isinstance(tool, dict) or len(tool.keys()) <= 3:
+                continue
+            
+            agent_tool_entity = AgentToolEntity(**tool)
+            # get tool
+            try:
+                tool_runtime = ToolManager.get_agent_tool_runtime(
+                    tenant_id=current_user.current_tenant_id,
+                    agent_tool=agent_tool_entity,
+                    agent_callback=None
+                )
+                manager = ToolParameterConfigurationManager(
+                    tenant_id=current_user.current_tenant_id,
+                    tool_runtime=tool_runtime,
+                    provider_name=agent_tool_entity.provider_id,
+                    provider_type=agent_tool_entity.provider_type,
+                )
+            except Exception as e:
+                continue
+
+            # get decrypted parameters
+            if agent_tool_entity.tool_parameters:
+                parameters = manager.decrypt_tool_parameters(agent_tool_entity.tool_parameters or {})
+                masked_parameter = manager.mask_tool_parameters(parameters or {})
+            else:
+                parameters = {}
+                masked_parameter = {}
+
+            key = f'{agent_tool_entity.provider_id}.{agent_tool_entity.provider_type}.{agent_tool_entity.tool_name}'
+            masked_parameter_map[key] = masked_parameter
+            parameter_map[key] = parameters
+            tool_map[key] = tool_runtime
+
+        # encrypt agent tool parameters if it's secret-input
+        agent_mode = new_app_model_config.agent_mode_dict
+        for tool in agent_mode.get('tools') or []:
+            agent_tool_entity = AgentToolEntity(**tool)
+            
+            # get tool
+            key = f'{agent_tool_entity.provider_id}.{agent_tool_entity.provider_type}.{agent_tool_entity.tool_name}'
+            if key in tool_map:
+                tool_runtime = tool_map[key]
+            else:
+                try:
+                    tool_runtime = ToolManager.get_agent_tool_runtime(
+                        tenant_id=current_user.current_tenant_id,
+                        agent_tool=agent_tool_entity,
+                        agent_callback=None
+                    )
+                except Exception as e:
+                    continue
+            
+            manager = ToolParameterConfigurationManager(
+                tenant_id=current_user.current_tenant_id,
+                tool_runtime=tool_runtime,
+                provider_name=agent_tool_entity.provider_id,
+                provider_type=agent_tool_entity.provider_type,
+            )
+            manager.delete_tool_parameters_cache()
+
+            # override parameters if it equals to masked parameters
+            if agent_tool_entity.tool_parameters:
+                if key not in masked_parameter_map:
+                    continue
+
+                if agent_tool_entity.tool_parameters == masked_parameter_map[key]:
+                    agent_tool_entity.tool_parameters = parameter_map[key]
+
+            # encrypt parameters
+            if agent_tool_entity.tool_parameters:
+                tool['tool_parameters'] = manager.encrypt_tool_parameters(agent_tool_entity.tool_parameters or {})
+
+        # update app model config
+        new_app_model_config.agent_mode = json.dumps(agent_mode)
+
         db.session.add(new_app_model_config)
         db.session.flush()
 

api/controllers/console/app/site.py

@@ -1,4 +1,7 @@
-# -*- coding:utf-8 -*-
+from flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
+from werkzeug.exceptions import Forbidden, NotFound
+
 from constants.languages import supported_language
 from controllers.console import api
 from controllers.console.app import _get_app
@@ -6,11 +9,8 @@ from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
 from extensions.ext_database import db
 from fields.app_fields import app_site_fields
-from flask_login import current_user
-from flask_restful import Resource, marshal_with, reqparse
 from libs.login import login_required
 from models.model import Site
-from werkzeug.exceptions import Forbidden, NotFound
 
 
 def parse_app_site_args():

api/controllers/console/app/statistic.py

@@ -1,16 +1,16 @@
-# -*- coding:utf-8 -*-
 from datetime import datetime
 from decimal import Decimal
 
 import pytz
+from flask import jsonify
+from flask_login import current_user
+from flask_restful import Resource, reqparse
+
 from controllers.console import api
 from controllers.console.app import _get_app
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
 from extensions.ext_database import db
-from flask import jsonify
-from flask_login import current_user
-from flask_restful import Resource, reqparse
 from libs.helper import datetime_string
 from libs.login import login_required
 

api/controllers/console/auth/activate.py

@@ -2,14 +2,15 @@ import base64
 import secrets
 from datetime import datetime
 
+from flask_restful import Resource, reqparse
+
 from constants.languages import supported_language
 from controllers.console import api
 from controllers.console.error import AlreadyActivateError
 from extensions.ext_database import db
-from flask_restful import Resource, reqparse
 from libs.helper import email, str_len, timezone
 from libs.password import hash_password, valid_password
-from models.account import AccountStatus, Tenant
+from models.account import AccountStatus
 from services.account_service import RegisterService
 
 

api/controllers/console/auth/data_source_oauth.py

@@ -1,13 +1,14 @@
 import logging
 
 import requests
-from controllers.console import api
 from flask import current_app, redirect, request
 from flask_login import current_user
 from flask_restful import Resource
+from werkzeug.exceptions import Forbidden
+
+from controllers.console import api
 from libs.login import login_required
 from libs.oauth_data_source import NotionOAuth
-from werkzeug.exceptions import Forbidden
 
 from ..setup import setup_required
 from ..wraps import account_initialization_required

api/controllers/console/auth/login.py

@@ -1,11 +1,10 @@
-# -*- coding:utf-8 -*-
-import flask
 import flask_login
+from flask import current_app, request
+from flask_restful import Resource, reqparse
+
 import services
 from controllers.console import api
 from controllers.console.setup import setup_required
-from flask import current_app, request
-from flask_restful import Resource, reqparse
 from libs.helper import email
 from libs.password import valid_password
 from services.account_service import AccountService, TenantService
@@ -30,10 +29,7 @@ class LoginApi(Resource):
         except services.errors.account.AccountLoginError:
             return {'code': 'unauthorized', 'message': 'Invalid email or password'}, 401
 
-        try:
-            TenantService.switch_tenant(account)
-        except Exception:
-            pass
+        TenantService.create_owner_tenant_if_not_exist(account)
 
         AccountService.update_last_login(account, request)
 
@@ -47,7 +43,6 @@ class LogoutApi(Resource):
 
     @setup_required
     def get(self):
-        flask.session.pop('workspace_id', None)
         flask_login.logout_user()
         return {'result': 'success'}
 

api/controllers/console/auth/oauth.py

@@ -3,13 +3,14 @@ from datetime import datetime
 from typing import Optional
 
 import requests
-from constants.languages import languages
-from extensions.ext_database import db
 from flask import current_app, redirect, request
 from flask_restful import Resource
+
+from constants.languages import languages
+from extensions.ext_database import db
 from libs.oauth import GitHubOAuth, GoogleOAuth, OAuthUserInfo
 from models.account import Account, AccountStatus
-from services.account_service import AccountService, RegisterService
+from services.account_service import AccountService, RegisterService, TenantService
 
 from .. import api
 
@@ -75,6 +76,8 @@ class OAuthCallback(Resource):
             account.initialized_at = datetime.utcnow()
             db.session.commit()
 
+        TenantService.create_owner_tenant_if_not_exist(account)
+
         AccountService.update_last_login(account, request)
 
         token = AccountService.get_account_jwt_token(account)

api/controllers/console/billing/billing.py

@@ -1,8 +1,9 @@
+from flask_login import current_user
+from flask_restful import Resource, reqparse
+
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required, only_edition_cloud
-from flask_login import current_user
-from flask_restful import Resource, reqparse
 from libs.login import login_required
 from services.billing_service import BillingService
 

api/controllers/console/datasets/data_source.py

@@ -1,22 +1,24 @@
 import datetime
 import json
 
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
+from werkzeug.exceptions import NotFound
+
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.data_loader.loader.notion import NotionLoader
 from core.indexing_runner import IndexingRunner
+from core.rag.extractor.entity.extract_setting import ExtractSetting
+from core.rag.extractor.notion_extractor import NotionExtractor
 from extensions.ext_database import db
 from fields.data_source_fields import integrate_list_fields, integrate_notion_info_list_fields
-from flask import request
-from flask_login import current_user
-from flask_restful import Resource, marshal_with, reqparse
 from libs.login import login_required
 from models.dataset import Document
 from models.source import DataSourceBinding
 from services.dataset_service import DatasetService, DocumentService
 from tasks.document_indexing_sync_task import document_indexing_sync_task
-from werkzeug.exceptions import NotFound
 
 
 class DataSourceApi(Resource):
@@ -172,14 +174,15 @@ class DataSourceNotionApi(Resource):
         if not data_source_binding:
             raise NotFound('Data source binding not found.')
 
-        loader = NotionLoader(
-            notion_access_token=data_source_binding.access_token,
+        extractor = NotionExtractor(
             notion_workspace_id=workspace_id,
             notion_obj_id=page_id,
-            notion_page_type=page_type
+            notion_page_type=page_type,
+            notion_access_token=data_source_binding.access_token,
+            tenant_id=current_user.current_tenant_id
         )
 
-        text_docs = loader.load()
+        text_docs = extractor.extract()
         return {
             'content': "\n".join([doc.page_content for doc in text_docs])
         }, 200
@@ -191,11 +194,31 @@ class DataSourceNotionApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument('notion_info_list', type=list, required=True, nullable=True, location='json')
         parser.add_argument('process_rule', type=dict, required=True, nullable=True, location='json')
+        parser.add_argument('doc_form', type=str, default='text_model', required=False, nullable=False, location='json')
+        parser.add_argument('doc_language', type=str, default='English', required=False, nullable=False, location='json')
         args = parser.parse_args()
         # validate args
         DocumentService.estimate_args_validate(args)
+        notion_info_list = args['notion_info_list']
+        extract_settings = []
+        for notion_info in notion_info_list:
+            workspace_id = notion_info['workspace_id']
+            for page in notion_info['pages']:
+                extract_setting = ExtractSetting(
+                    datasource_type="notion_import",
+                    notion_info={
+                        "notion_workspace_id": workspace_id,
+                        "notion_obj_id": page['page_id'],
+                        "notion_page_type": page['type'],
+                        "tenant_id": current_user.current_tenant_id
+                    },
+                    document_model=args['doc_form']
+                )
+                extract_settings.append(extract_setting)
         indexing_runner = IndexingRunner()
-        response = indexing_runner.notion_indexing_estimate(current_user.current_tenant_id, args['notion_info_list'], args['process_rule'])
+        response = indexing_runner.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                     args['process_rule'], args['doc_form'],
+                                                     args['doc_language'])
         return response, 200
 
 

api/controllers/console/datasets/datasets.py

@@ -1,5 +1,9 @@
-# -*- coding:utf-8 -*-
 import flask_restful
+from flask import current_app, request
+from flask_login import current_user
+from flask_restful import Resource, marshal, marshal_with, reqparse
+from werkzeug.exceptions import Forbidden, NotFound
+
 import services
 from controllers.console import api
 from controllers.console.apikey import api_key_fields, api_key_list
@@ -11,18 +15,15 @@ from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.indexing_runner import IndexingRunner
 from core.model_runtime.entities.model_entities import ModelType
 from core.provider_manager import ProviderManager
+from core.rag.extractor.entity.extract_setting import ExtractSetting
 from extensions.ext_database import db
 from fields.app_fields import related_app_list
 from fields.dataset_fields import dataset_detail_fields, dataset_query_detail_fields
 from fields.document_fields import document_status_fields
-from flask import current_app, request
-from flask_login import current_user
-from flask_restful import Resource, marshal, marshal_with, reqparse
 from libs.login import login_required
 from models.dataset import Dataset, Document, DocumentSegment
 from models.model import ApiToken, UploadFile
 from services.dataset_service import DatasetService, DocumentService
-from werkzeug.exceptions import Forbidden, NotFound
 
 
 def _validate_name(name):
@@ -178,9 +179,9 @@ class DatasetApi(Resource):
                             location='json', store_missing=False,
                             type=_validate_description_length)
         parser.add_argument('indexing_technique', type=str, location='json',
-                    choices=Dataset.INDEXING_TECHNIQUE_LIST,
-                    nullable=True,
-                    help='Invalid indexing technique.')
+                            choices=Dataset.INDEXING_TECHNIQUE_LIST,
+                            nullable=True,
+                            help='Invalid indexing technique.')
         parser.add_argument('permission', type=str, location='json', choices=(
             'only_me', 'all_team_members'), help='Invalid permission.')
         parser.add_argument('retrieval_model', type=dict, location='json', help='Invalid retrieval model.')
@@ -258,7 +259,7 @@ class DatasetIndexingEstimateApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument('info_list', type=dict, required=True, nullable=True, location='json')
         parser.add_argument('process_rule', type=dict, required=True, nullable=True, location='json')
-        parser.add_argument('indexing_technique', type=str, required=True, 
+        parser.add_argument('indexing_technique', type=str, required=True,
                             choices=Dataset.INDEXING_TECHNIQUE_LIST,
                             nullable=True, location='json')
         parser.add_argument('doc_form', type=str, default='text_model', required=False, nullable=False, location='json')
@@ -268,6 +269,7 @@ class DatasetIndexingEstimateApi(Resource):
         args = parser.parse_args()
         # validate args
         DocumentService.estimate_args_validate(args)
+        extract_settings = []
         if args['info_list']['data_source_type'] == 'upload_file':
             file_ids = args['info_list']['file_info_list']['file_ids']
             file_details = db.session.query(UploadFile).filter(
@@ -278,37 +280,45 @@ class DatasetIndexingEstimateApi(Resource):
             if file_details is None:
                 raise NotFound("File not found.")
 
-            indexing_runner = IndexingRunner()
-
-            try:
-                response = indexing_runner.file_indexing_estimate(current_user.current_tenant_id, file_details,
-                                                                  args['process_rule'], args['doc_form'],
-                                                                  args['doc_language'], args['dataset_id'],
-                                                                  args['indexing_technique'])
-            except LLMBadRequestError:
-                raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
-            except ProviderTokenNotInitError as ex:
-                raise ProviderNotInitializeError(ex.description)
+            if file_details:
+                for file_detail in file_details:
+                    extract_setting = ExtractSetting(
+                        datasource_type="upload_file",
+                        upload_file=file_detail,
+                        document_model=args['doc_form']
+                    )
+                    extract_settings.append(extract_setting)
         elif args['info_list']['data_source_type'] == 'notion_import':
-
-            indexing_runner = IndexingRunner()
-
-            try:
-                response = indexing_runner.notion_indexing_estimate(current_user.current_tenant_id,
-                                                                    args['info_list']['notion_info_list'],
-                                                                    args['process_rule'], args['doc_form'],
-                                                                    args['doc_language'], args['dataset_id'],
-                                                                    args['indexing_technique'])
-            except LLMBadRequestError:
-                raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
-            except ProviderTokenNotInitError as ex:
-                raise ProviderNotInitializeError(ex.description)
+            notion_info_list = args['info_list']['notion_info_list']
+            for notion_info in notion_info_list:
+                workspace_id = notion_info['workspace_id']
+                for page in notion_info['pages']:
+                    extract_setting = ExtractSetting(
+                        datasource_type="notion_import",
+                        notion_info={
+                            "notion_workspace_id": workspace_id,
+                            "notion_obj_id": page['page_id'],
+                            "notion_page_type": page['type'],
+                            "tenant_id": current_user.current_tenant_id
+                        },
+                        document_model=args['doc_form']
+                    )
+                    extract_settings.append(extract_setting)
         else:
             raise ValueError('Data source type not support')
+        indexing_runner = IndexingRunner()
+        try:
+            response = indexing_runner.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                         args['process_rule'], args['doc_form'],
+                                                         args['doc_language'], args['dataset_id'],
+                                                         args['indexing_technique'])
+        except LLMBadRequestError:
+            raise ProviderNotInitializeError(
+                "No Embedding Model available. Please configure a valid provider "
+                "in the Settings -> Model Provider.")
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
+
         return response, 200
 
 
@@ -508,4 +518,3 @@ api.add_resource(DatasetApiDeleteApi, '/datasets/api-keys/<uuid:api_key_id>')
 api.add_resource(DatasetApiBaseUrlApi, '/datasets/api-base-info')
 api.add_resource(DatasetRetrievalSettingApi, '/datasets/retrieval-setting')
 api.add_resource(DatasetRetrievalSettingMockApi, '/datasets/retrieval-setting/<string:vector_type>')
-

api/controllers/console/datasets/datasets_document.py

@@ -1,36 +1,52 @@
-# -*- coding:utf-8 -*-
 from datetime import datetime
-from typing import List
+
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource, fields, marshal, marshal_with, reqparse
+from sqlalchemy import asc, desc
+from werkzeug.exceptions import Forbidden, NotFound
 
 import services
 from controllers.console import api
-from controllers.console.app.error import (ProviderModelCurrentlyNotSupportError, ProviderNotInitializeError,
-                                           ProviderQuotaExceededError)
-from controllers.console.datasets.error import (ArchivedDocumentImmutableError, DocumentAlreadyFinishedError,
-                                                DocumentIndexingError, InvalidActionError, InvalidMetadataError)
+from controllers.console.app.error import (
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from controllers.console.datasets.error import (
+    ArchivedDocumentImmutableError,
+    DocumentAlreadyFinishedError,
+    DocumentIndexingError,
+    InvalidActionError,
+    InvalidMetadataError,
+)
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
-from core.errors.error import (LLMBadRequestError, ModelCurrentlyNotSupportError, ProviderTokenNotInitError,
-                               QuotaExceededError)
+from core.errors.error import (
+    LLMBadRequestError,
+    ModelCurrentlyNotSupportError,
+    ProviderTokenNotInitError,
+    QuotaExceededError,
+)
 from core.indexing_runner import IndexingRunner
 from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.errors.invoke import InvokeAuthorizationError
+from core.rag.extractor.entity.extract_setting import ExtractSetting
 from extensions.ext_database import db
 from extensions.ext_redis import redis_client
-from fields.document_fields import (dataset_and_document_fields, document_fields, document_status_fields,
-                                    document_with_segments_fields)
-from flask import request
-from flask_login import current_user
-from flask_restful import Resource, fields, marshal, marshal_with, reqparse
+from fields.document_fields import (
+    dataset_and_document_fields,
+    document_fields,
+    document_status_fields,
+    document_with_segments_fields,
+)
 from libs.login import login_required
 from models.dataset import Dataset, DatasetProcessRule, Document, DocumentSegment
 from models.model import UploadFile
 from services.dataset_service import DatasetService, DocumentService
-from sqlalchemy import asc, desc
 from tasks.add_document_to_index_task import add_document_to_index_task
 from tasks.remove_document_from_index_task import remove_document_from_index_task
-from werkzeug.exceptions import Forbidden, NotFound
 
 
 class DocumentResource(Resource):
@@ -54,7 +70,7 @@ class DocumentResource(Resource):
 
         return document
 
-    def get_batch_documents(self, dataset_id: str, batch: str) -> List[Document]:
+    def get_batch_documents(self, dataset_id: str, batch: str) -> list[Document]:
         dataset = DatasetService.get_dataset(dataset_id)
         if not dataset:
             raise NotFound('Dataset not found.')
@@ -80,7 +96,7 @@ class GetProcessRuleApi(Resource):
         req_data = request.args
 
         document_id = req_data.get('document_id')
-        
+
         # get default rules
         mode = DocumentService.DEFAULT_RULES['mode']
         rules = DocumentService.DEFAULT_RULES['rules']
@@ -279,8 +295,8 @@ class DatasetInitApi(Resource):
                 )
             except InvokeAuthorizationError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
 
@@ -347,16 +363,22 @@ class DocumentIndexingEstimateApi(DocumentResource):
                 if not file:
                     raise NotFound('File not found.')
 
+                extract_setting = ExtractSetting(
+                    datasource_type="upload_file",
+                    upload_file=file,
+                    document_model=document.doc_form
+                )
+
                 indexing_runner = IndexingRunner()
 
                 try:
-                    response = indexing_runner.file_indexing_estimate(current_user.current_tenant_id, [file],
-                                                                      data_process_rule_dict, None,
-                                                                      'English', dataset_id)
+                    response = indexing_runner.indexing_estimate(current_user.current_tenant_id, [extract_setting],
+                                                                 data_process_rule_dict, document.doc_form,
+                                                                 'English', dataset_id)
                 except LLMBadRequestError:
                     raise ProviderNotInitializeError(
-                        f"No Embedding Model available. Please configure a valid provider "
-                        f"in the Settings -> Model Provider.")
+                        "No Embedding Model available. Please configure a valid provider "
+                        "in the Settings -> Model Provider.")
                 except ProviderTokenNotInitError as ex:
                     raise ProviderNotInitializeError(ex.description)
 
@@ -387,6 +409,7 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
         data_process_rule = documents[0].dataset_process_rule
         data_process_rule_dict = data_process_rule.to_dict()
         info_list = []
+        extract_settings = []
         for document in documents:
             if document.indexing_status in ['completed', 'error']:
                 raise DocumentAlreadyFinishedError()
@@ -409,42 +432,49 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
                 }
                 info_list.append(notion_info)
 
-        if dataset.data_source_type == 'upload_file':
-            file_details = db.session.query(UploadFile).filter(
-                UploadFile.tenant_id == current_user.current_tenant_id,
-                UploadFile.id.in_(info_list)
-            ).all()
+            if document.data_source_type == 'upload_file':
+                file_id = data_source_info['upload_file_id']
+                file_detail = db.session.query(UploadFile).filter(
+                    UploadFile.tenant_id == current_user.current_tenant_id,
+                    UploadFile.id == file_id
+                ).first()
 
-            if file_details is None:
-                raise NotFound("File not found.")
+                if file_detail is None:
+                    raise NotFound("File not found.")
 
+                extract_setting = ExtractSetting(
+                    datasource_type="upload_file",
+                    upload_file=file_detail,
+                    document_model=document.doc_form
+                )
+                extract_settings.append(extract_setting)
+
+            elif document.data_source_type == 'notion_import':
+                extract_setting = ExtractSetting(
+                    datasource_type="notion_import",
+                    notion_info={
+                        "notion_workspace_id": data_source_info['notion_workspace_id'],
+                        "notion_obj_id": data_source_info['notion_page_id'],
+                        "notion_page_type": data_source_info['type'],
+                        "tenant_id": current_user.current_tenant_id
+                    },
+                    document_model=document.doc_form
+                )
+                extract_settings.append(extract_setting)
+
+            else:
+                raise ValueError('Data source type not support')
             indexing_runner = IndexingRunner()
             try:
-                response = indexing_runner.file_indexing_estimate(current_user.current_tenant_id, file_details,
-                                                                  data_process_rule_dict, None,
-                                                                  'English', dataset_id)
+                response = indexing_runner.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                             data_process_rule_dict, document.doc_form,
+                                                             'English', dataset_id)
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
-        elif dataset.data_source_type == 'notion_import':
-
-            indexing_runner = IndexingRunner()
-            try:
-                response = indexing_runner.notion_indexing_estimate(current_user.current_tenant_id,
-                                                                    info_list,
-                                                                    data_process_rule_dict,
-                                                                    None, 'English', dataset_id)
-            except LLMBadRequestError:
-                raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
-            except ProviderTokenNotInitError as ex:
-                raise ProviderNotInitializeError(ex.description)
-        else:
-            raise ValueError('Data source type not support')
         return response
 
 

api/controllers/console/datasets/datasets_segments.py

@@ -1,8 +1,12 @@
-# -*- coding:utf-8 -*-
 import uuid
 from datetime import datetime
 
 import pandas as pd
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource, marshal, reqparse
+from werkzeug.exceptions import Forbidden, NotFound
+
 import services
 from controllers.console import api
 from controllers.console.app.error import ProviderNotInitializeError
@@ -15,16 +19,12 @@ from core.model_runtime.entities.model_entities import ModelType
 from extensions.ext_database import db
 from extensions.ext_redis import redis_client
 from fields.segment_fields import segment_fields
-from flask import request
-from flask_login import current_user
-from flask_restful import Resource, marshal, reqparse
 from libs.login import login_required
 from models.dataset import DocumentSegment
 from services.dataset_service import DatasetService, DocumentService, SegmentService
 from tasks.batch_create_segment_to_index_task import batch_create_segment_to_index_task
 from tasks.disable_segment_from_index_task import disable_segment_from_index_task
 from tasks.enable_segment_to_index_task import enable_segment_to_index_task
-from werkzeug.exceptions import Forbidden, NotFound
 
 
 class DatasetDocumentSegmentListApi(Resource):
@@ -142,8 +142,8 @@ class DatasetDocumentSegmentApi(Resource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
 
@@ -233,8 +233,8 @@ class DatasetDocumentSegmentAddApi(Resource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
         try:
@@ -285,8 +285,8 @@ class DatasetDocumentSegmentUpdateApi(Resource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
             # check segment

api/controllers/console/datasets/file.py

@@ -1,13 +1,18 @@
-import services
-from controllers.console import api
-from controllers.console.datasets.error import (FileTooLargeError, NoFileUploadedError, TooManyFilesError,
-                                                UnsupportedFileTypeError)
-from controllers.console.setup import setup_required
-from controllers.console.wraps import account_initialization_required
-from fields.file_fields import file_fields, upload_config_fields
 from flask import current_app, request
 from flask_login import current_user
 from flask_restful import Resource, marshal_with
+
+import services
+from controllers.console import api
+from controllers.console.datasets.error import (
+    FileTooLargeError,
+    NoFileUploadedError,
+    TooManyFilesError,
+    UnsupportedFileTypeError,
+)
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+from fields.file_fields import file_fields, upload_config_fields
 from libs.login import login_required
 from services.file_service import ALLOWED_EXTENSIONS, UNSTRUSTURED_ALLOWED_EXTENSIONS, FileService
 
@@ -34,6 +39,7 @@ class FileApi(Resource):
     @login_required
     @account_initialization_required
     @marshal_with(file_fields)
+    @cloud_edition_billing_resource_check(resource='documents')
     def post(self):
 
         # get file from request

api/controllers/console/datasets/hit_testing.py

@@ -1,22 +1,31 @@
 import logging
 
+from flask_login import current_user
+from flask_restful import Resource, marshal, reqparse
+from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
+
 import services
 from controllers.console import api
-from controllers.console.app.error import (CompletionRequestError, ProviderModelCurrentlyNotSupportError,
-                                           ProviderNotInitializeError, ProviderQuotaExceededError)
+from controllers.console.app.error import (
+    CompletionRequestError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
 from controllers.console.datasets.error import DatasetNotInitializedError, HighQualityDatasetOnlyError
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.errors.error import (LLMBadRequestError, ModelCurrentlyNotSupportError, ProviderTokenNotInitError,
-                               QuotaExceededError)
+from core.errors.error import (
+    LLMBadRequestError,
+    ModelCurrentlyNotSupportError,
+    ProviderTokenNotInitError,
+    QuotaExceededError,
+)
 from core.model_runtime.errors.invoke import InvokeError
 from fields.hit_testing_fields import hit_testing_record_fields
-from flask_login import current_user
-from flask_restful import Resource, marshal, reqparse
 from libs.login import login_required
 from services.dataset_service import DatasetService
 from services.hit_testing_service import HitTestingService
-from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
 
 class HitTestingApi(Resource):
@@ -67,8 +76,8 @@ class HitTestingApi(Resource):
             raise ProviderModelCurrentlyNotSupportError()
         except LLMBadRequestError:
             raise ProviderNotInitializeError(
-                f"No Embedding Model or Reranking Model available. Please configure a valid provider "
-                f"in the Settings -> Model Provider.")
+                "No Embedding Model or Reranking Model available. Please configure a valid provider "
+                "in the Settings -> Model Provider.")
         except InvokeError as e:
             raise CompletionRequestError(e.description)
         except ValueError as e:

api/controllers/console/explore/audio.py

@@ -1,21 +1,32 @@
-# -*- coding:utf-8 -*-
 import logging
 
+from flask import request
+from werkzeug.exceptions import InternalServerError
+
 import services
 from controllers.console import api
-from controllers.console.app.error import (AppUnavailableError, AudioTooLargeError, CompletionRequestError,
-                                           NoAudioUploadedError, ProviderModelCurrentlyNotSupportError,
-                                           ProviderNotInitializeError, ProviderNotSupportSpeechToTextError,
-                                           ProviderQuotaExceededError, UnsupportedAudioTypeError)
+from controllers.console.app.error import (
+    AppUnavailableError,
+    AudioTooLargeError,
+    CompletionRequestError,
+    NoAudioUploadedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderNotSupportSpeechToTextError,
+    ProviderQuotaExceededError,
+    UnsupportedAudioTypeError,
+)
 from controllers.console.explore.wraps import InstalledAppResource
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from flask import request
 from models.model import AppModelConfig
 from services.audio_service import AudioService
-from services.errors.audio import (AudioTooLargeServiceError, NoAudioUploadedServiceError,
-                                   ProviderNotSupportSpeechToTextServiceError, UnsupportedAudioTypeServiceError)
-from werkzeug.exceptions import InternalServerError
+from services.errors.audio import (
+    AudioTooLargeServiceError,
+    NoAudioUploadedServiceError,
+    ProviderNotSupportSpeechToTextServiceError,
+    UnsupportedAudioTypeServiceError,
+)
 
 
 class ChatAudioApi(InstalledAppResource):
@@ -74,6 +85,7 @@ class ChatTextApi(InstalledAppResource):
             response = AudioService.transcript_tts(
                 tenant_id=app_model.tenant_id,
                 text=request.form['text'],
+                voice=request.form['voice'] if request.form['voice'] else app_model.app_model_config.text_to_speech_dict.get('voice'),
                 streaming=False
             )
             return {'data': response.data.decode('latin1')}

api/controllers/console/explore/completion.py

@@ -1,14 +1,24 @@
-# -*- coding:utf-8 -*-
 import json
 import logging
+from collections.abc import Generator
 from datetime import datetime
-from typing import Generator, Union
+from typing import Union
+
+from flask import Response, stream_with_context
+from flask_login import current_user
+from flask_restful import reqparse
+from werkzeug.exceptions import InternalServerError, NotFound
 
 import services
 from controllers.console import api
-from controllers.console.app.error import (AppUnavailableError, CompletionRequestError, ConversationCompletedError,
-                                           ProviderModelCurrentlyNotSupportError, ProviderNotInitializeError,
-                                           ProviderQuotaExceededError)
+from controllers.console.app.error import (
+    AppUnavailableError,
+    CompletionRequestError,
+    ConversationCompletedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
 from controllers.console.explore.error import NotChatAppError, NotCompletionAppError
 from controllers.console.explore.wraps import InstalledAppResource
 from core.application_queue_manager import ApplicationQueueManager
@@ -16,12 +26,8 @@ from core.entities.application_entities import InvokeFrom
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
 from extensions.ext_database import db
-from flask import Response, stream_with_context
-from flask_login import current_user
-from flask_restful import reqparse
 from libs.helper import uuid_value
 from services.completion_service import CompletionService
-from werkzeug.exceptions import InternalServerError, NotFound
 
 
 # define completion api for user
@@ -158,8 +164,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            for chunk in response:
-                yield chunk
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')

api/controllers/console/explore/conversation.py

@@ -1,16 +1,16 @@
-# -*- coding:utf-8 -*-
+from flask_login import current_user
+from flask_restful import marshal_with, reqparse
+from flask_restful.inputs import int_range
+from werkzeug.exceptions import NotFound
+
 from controllers.console import api
 from controllers.console.explore.error import NotChatAppError
 from controllers.console.explore.wraps import InstalledAppResource
 from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
-from flask_login import current_user
-from flask_restful import fields, marshal_with, reqparse
-from flask_restful.inputs import int_range
-from libs.helper import TimestampField, uuid_value
+from libs.helper import uuid_value
 from services.conversation_service import ConversationService
 from services.errors.conversation import ConversationNotExistsError, LastConversationNotExistsError
 from services.web_conversation_service import WebConversationService
-from werkzeug.exceptions import NotFound
 
 
 class ConversationListApi(InstalledAppResource):

api/controllers/console/explore/error.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 from libs.exception import BaseHTTPException
 
 

api/controllers/console/explore/installed_app.py

@@ -1,18 +1,18 @@
-# -*- coding:utf-8 -*-
 from datetime import datetime
 
+from flask_login import current_user
+from flask_restful import Resource, inputs, marshal_with, reqparse
+from sqlalchemy import and_
+from werkzeug.exceptions import BadRequest, Forbidden, NotFound
+
 from controllers.console import api
 from controllers.console.explore.wraps import InstalledAppResource
 from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
 from extensions.ext_database import db
 from fields.installed_app_fields import installed_app_list_fields
-from flask_login import current_user
-from flask_restful import Resource, inputs, marshal_with, reqparse
 from libs.login import login_required
 from models.model import App, InstalledApp, RecommendedApp
 from services.account_service import TenantService
-from sqlalchemy import and_
-from werkzeug.exceptions import BadRequest, Forbidden, NotFound
 
 
 class InstalledAppsListApi(Resource):

api/controllers/console/explore/message.py

@@ -1,31 +1,39 @@
-# -*- coding:utf-8 -*-
 import json
 import logging
-from typing import Generator, Union
+from collections.abc import Generator
+from typing import Union
+
+from flask import Response, stream_with_context
+from flask_login import current_user
+from flask_restful import marshal_with, reqparse
+from flask_restful.inputs import int_range
+from werkzeug.exceptions import InternalServerError, NotFound
 
 import services
 from controllers.console import api
-from controllers.console.app.error import (AppMoreLikeThisDisabledError, CompletionRequestError,
-                                           ProviderModelCurrentlyNotSupportError, ProviderNotInitializeError,
-                                           ProviderQuotaExceededError)
-from controllers.console.explore.error import (AppSuggestedQuestionsAfterAnswerDisabledError, NotChatAppError,
-                                               NotCompletionAppError)
+from controllers.console.app.error import (
+    AppMoreLikeThisDisabledError,
+    CompletionRequestError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from controllers.console.explore.error import (
+    AppSuggestedQuestionsAfterAnswerDisabledError,
+    NotChatAppError,
+    NotCompletionAppError,
+)
 from controllers.console.explore.wraps import InstalledAppResource
 from core.entities.application_entities import InvokeFrom
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
 from fields.message_fields import message_infinite_scroll_pagination_fields
-from flask import Response, stream_with_context
-from flask_login import current_user
-from flask_restful import fields, marshal_with, reqparse
-from flask_restful.inputs import int_range
-from libs.helper import TimestampField, uuid_value
+from libs.helper import uuid_value
 from services.completion_service import CompletionService
 from services.errors.app import MoreLikeThisDisabledError
 from services.errors.conversation import ConversationNotExistsError
 from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
 from services.message_service import MessageService
-from werkzeug.exceptions import InternalServerError, NotFound
 
 
 class MessageListApi(InstalledAppResource):
@@ -115,8 +123,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            for chunk in response:
-                yield chunk
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')

api/controllers/console/explore/parameter.py

@@ -1,11 +1,11 @@
-# -*- coding:utf-8 -*-
 import json
 
+from flask import current_app
+from flask_restful import fields, marshal_with
+
 from controllers.console import api
 from controllers.console.explore.wraps import InstalledAppResource
 from extensions.ext_database import db
-from flask import current_app
-from flask_restful import fields, marshal_with
 from models.model import AppModelConfig, InstalledApp
 from models.tools import ApiToolProvider
 
@@ -77,7 +77,7 @@ class ExploreAppMetaApi(InstalledAppResource):
         # get all tools
         tools = agent_config.get('tools', [])
         url_prefix = (current_app.config.get("CONSOLE_API_URL")
-                  + f"/console/api/workspaces/current/tool-provider/builtin/")
+                  + "/console/api/workspaces/current/tool-provider/builtin/")
         for tool in tools:
             keys = list(tool.keys())
             if len(keys) >= 4:

api/controllers/console/explore/recommended_app.py

@@ -1,15 +1,15 @@
-# -*- coding:utf-8 -*-
+from flask_login import current_user
+from flask_restful import Resource, fields, marshal_with
+from sqlalchemy import and_
+
 from constants.languages import languages
 from controllers.console import api
 from controllers.console.app.error import AppNotFoundError
 from controllers.console.wraps import account_initialization_required
 from extensions.ext_database import db
-from flask_login import current_user
-from flask_restful import Resource, fields, marshal_with
 from libs.login import login_required
 from models.model import App, InstalledApp, RecommendedApp
 from services.account_service import TenantService
-from sqlalchemy import and_
 
 app_fields = {
     'id': fields.String,

api/controllers/console/explore/saved_message.py

@@ -1,14 +1,15 @@
+from flask_login import current_user
+from flask_restful import fields, marshal_with, reqparse
+from flask_restful.inputs import int_range
+from werkzeug.exceptions import NotFound
+
 from controllers.console import api
 from controllers.console.explore.error import NotCompletionAppError
 from controllers.console.explore.wraps import InstalledAppResource
 from fields.conversation_fields import message_file_fields
-from flask_login import current_user
-from flask_restful import fields, marshal_with, reqparse
-from flask_restful.inputs import int_range
 from libs.helper import TimestampField, uuid_value
 from services.errors.message import MessageNotExistsError
 from services.saved_message_service import SavedMessageService
-from werkzeug.exceptions import NotFound
 
 feedback_fields = {
     'rating': fields.String

api/controllers/console/explore/wraps.py

@@ -1,12 +1,13 @@
 from functools import wraps
 
+from flask_login import current_user
+from flask_restful import Resource
+from werkzeug.exceptions import NotFound
+
 from controllers.console.wraps import account_initialization_required
 from extensions.ext_database import db
-from flask_login import current_user
-from flask_restful import Resource
 from libs.login import login_required
 from models.model import InstalledApp
-from werkzeug.exceptions import NotFound
 
 
 def installed_app_required(view=None):

api/controllers/console/extension.py

@@ -1,9 +1,10 @@
+from flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
+
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
 from fields.api_based_extension_fields import api_based_extension_fields
-from flask_login import current_user
-from flask_restful import Resource, marshal_with, reqparse
 from libs.login import login_required
 from models.api_based_extension import APIBasedExtension
 from services.api_based_extension_service import APIBasedExtensionService

api/controllers/console/feature.py

@@ -1,5 +1,6 @@
 from flask_login import current_user
 from flask_restful import Resource
+
 from services.feature_service import FeatureService
 
 from . import api

api/controllers/console/init_validate.py

@@ -2,6 +2,7 @@ import os
 
 from flask import current_app, session
 from flask_restful import Resource, reqparse
+
 from libs.helper import str_len
 from models.model import DifySetup
 from services.account_service import TenantService

api/controllers/console/setup.py

@@ -1,9 +1,9 @@
-# -*- coding:utf-8 -*-
 from functools import wraps
 
-from extensions.ext_database import db
 from flask import current_app, request
 from flask_restful import Resource, reqparse
+
+from extensions.ext_database import db
 from libs.helper import email, str_len
 from libs.password import valid_password
 from models.model import DifySetup

api/controllers/console/version.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 
 import json
 import logging
@@ -6,7 +5,6 @@ import logging
 import requests
 from flask import current_app
 from flask_restful import Resource, reqparse
-from werkzeug.exceptions import InternalServerError
 
 from . import api
 

api/controllers/console/workspace/account.py

@@ -1,17 +1,21 @@
-# -*- coding:utf-8 -*-
 from datetime import datetime
 
 import pytz
-from constants.languages import supported_language
-from controllers.console import api
-from controllers.console.setup import setup_required
-from controllers.console.workspace.error import (AccountAlreadyInitedError, CurrentPasswordIncorrectError,
-                                                 InvalidInvitationCodeError, RepeatPasswordNotMatchError)
-from controllers.console.wraps import account_initialization_required
-from extensions.ext_database import db
 from flask import current_app, request
 from flask_login import current_user
 from flask_restful import Resource, fields, marshal_with, reqparse
+
+from constants.languages import supported_language
+from controllers.console import api
+from controllers.console.setup import setup_required
+from controllers.console.workspace.error import (
+    AccountAlreadyInitedError,
+    CurrentPasswordIncorrectError,
+    InvalidInvitationCodeError,
+    RepeatPasswordNotMatchError,
+)
+from controllers.console.wraps import account_initialization_required
+from extensions.ext_database import db
 from libs.helper import TimestampField, timezone
 from libs.login import login_required
 from models.account import AccountIntegrate, InvitationCode

api/controllers/console/workspace/members.py

@@ -1,16 +1,17 @@
-# -*- coding:utf-8 -*-
+from flask import current_app
+from flask_login import current_user
+from flask_restful import Resource, abort, fields, marshal_with, reqparse
+
 import services
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
 from extensions.ext_database import db
-from flask import current_app
-from flask_login import current_user
-from flask_restful import Resource, abort, fields, marshal_with, reqparse
 from libs.helper import TimestampField
 from libs.login import login_required
 from models.account import Account
 from services.account_service import RegisterService, TenantService
+from services.errors.account import AccountAlreadyInTenantError
 
 account_fields = {
     'id': fields.String,
@@ -71,6 +72,13 @@ class MemberInviteEmailApi(Resource):
                     'email': invitee_email,
                     'url': f'{console_web_url}/activate?email={invitee_email}&token={token}'
                 })
+            except AccountAlreadyInTenantError:
+                invitation_results.append({
+                    'status': 'success',
+                    'email': invitee_email,
+                    'url': f'{console_web_url}/signin'
+                })
+                break
             except Exception as e:
                 invitation_results.append({
                     'status': 'failed',

api/controllers/console/workspace/model_providers.py

@@ -1,18 +1,19 @@
 import io
 
+from flask import send_file
+from flask_login import current_user
+from flask_restful import Resource, reqparse
+from werkzeug.exceptions import Forbidden
+
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.errors.validate import CredentialsValidateFailedError
 from core.model_runtime.utils.encoders import jsonable_encoder
-from flask import send_file
-from flask_login import current_user
-from flask_restful import Resource, reqparse
 from libs.login import login_required
 from services.billing_service import BillingService
 from services.model_provider_service import ModelProviderService
-from werkzeug.exceptions import Forbidden
 
 
 class ModelProviderListApi(Resource):

api/controllers/console/workspace/models.py

@@ -1,16 +1,17 @@
 import logging
 
+from flask_login import current_user
+from flask_restful import Resource, reqparse
+from werkzeug.exceptions import Forbidden
+
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
 from core.model_runtime.entities.model_entities import ModelType
 from core.model_runtime.errors.validate import CredentialsValidateFailedError
 from core.model_runtime.utils.encoders import jsonable_encoder
-from flask_login import current_user
-from flask_restful import Resource, reqparse
 from libs.login import login_required
 from services.model_provider_service import ModelProviderService
-from werkzeug.exceptions import Forbidden
 
 
 class DefaultModelApi(Resource):

api/controllers/console/workspace/tool_providers.py

@@ -1,15 +1,15 @@
 import io
-import json
+
+from flask import current_app, send_file
+from flask_login import current_user
+from flask_restful import Resource, reqparse
+from werkzeug.exceptions import Forbidden
 
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from flask import send_file
-from flask_login import current_user
-from flask_restful import Resource, reqparse
 from libs.login import login_required
 from services.tools_manage_service import ToolManageService
-from werkzeug.exceptions import Forbidden
 
 
 class ToolProviderListApi(Resource):
@@ -80,8 +80,33 @@ class ToolBuiltinProviderIconApi(Resource):
     @setup_required
     def get(self, provider):
         icon_bytes, minetype = ToolManageService.get_builtin_tool_provider_icon(provider)
-        return send_file(io.BytesIO(icon_bytes), mimetype=minetype)
+        icon_cache_max_age = int(current_app.config.get('TOOL_ICON_CACHE_MAX_AGE'))
+        return send_file(io.BytesIO(icon_bytes), mimetype=minetype, max_age=icon_cache_max_age)
 
+class ToolModelProviderIconApi(Resource):
+    @setup_required
+    def get(self, provider):
+        icon_bytes, mimetype = ToolManageService.get_model_tool_provider_icon(provider)
+        return send_file(io.BytesIO(icon_bytes), mimetype=mimetype)
+    
+class ToolModelProviderListToolsApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        user_id = current_user.id
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('provider', type=str, required=True, nullable=False, location='args')
+
+        args = parser.parse_args()
+
+        return ToolManageService.list_model_tool_provider_tools(
+            user_id,
+            tenant_id,
+            args['provider'],
+        )
 
 class ToolApiProviderAddApi(Resource):
     @setup_required
@@ -259,6 +284,7 @@ class ToolApiProviderPreviousTestApi(Resource):
         parser = reqparse.RequestParser()
 
         parser.add_argument('tool_name', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('provider_name', type=str, required=False, nullable=False, location='json')
         parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
         parser.add_argument('parameters', type=dict, required=True, nullable=False, location='json')
         parser.add_argument('schema_type', type=str, required=True, nullable=False, location='json')
@@ -268,6 +294,7 @@ class ToolApiProviderPreviousTestApi(Resource):
 
         return ToolManageService.test_api_tool_preview(
             current_user.current_tenant_id,
+            args['provider_name'] if args['provider_name'] else '',
             args['tool_name'],
             args['credentials'],
             args['parameters'],
@@ -281,6 +308,8 @@ api.add_resource(ToolBuiltinProviderDeleteApi, '/workspaces/current/tool-provide
 api.add_resource(ToolBuiltinProviderUpdateApi, '/workspaces/current/tool-provider/builtin/<provider>/update')
 api.add_resource(ToolBuiltinProviderCredentialsSchemaApi, '/workspaces/current/tool-provider/builtin/<provider>/credentials_schema')
 api.add_resource(ToolBuiltinProviderIconApi, '/workspaces/current/tool-provider/builtin/<provider>/icon')
+api.add_resource(ToolModelProviderIconApi, '/workspaces/current/tool-provider/model/<provider>/icon')
+api.add_resource(ToolModelProviderListToolsApi, '/workspaces/current/tool-provider/model/tools')
 api.add_resource(ToolApiProviderAddApi, '/workspaces/current/tool-provider/api/add')
 api.add_resource(ToolApiProviderGetRemoteSchemaApi, '/workspaces/current/tool-provider/api/remote')
 api.add_resource(ToolApiProviderListToolsApi, '/workspaces/current/tool-provider/api/tools')

api/controllers/console/workspace/workspace.py

@@ -1,18 +1,22 @@
-# -*- coding:utf-8 -*-
 import logging
 
+from flask import request
+from flask_login import current_user
+from flask_restful import Resource, fields, inputs, marshal, marshal_with, reqparse
+
 import services
 from controllers.console import api
 from controllers.console.admin import admin_required
-from controllers.console.datasets.error import (FileTooLargeError, NoFileUploadedError, TooManyFilesError,
-                                                UnsupportedFileTypeError)
+from controllers.console.datasets.error import (
+    FileTooLargeError,
+    NoFileUploadedError,
+    TooManyFilesError,
+    UnsupportedFileTypeError,
+)
 from controllers.console.error import AccountNotLinkTenantError
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
 from extensions.ext_database import db
-from flask import request
-from flask_login import current_user
-from flask_restful import Resource, fields, inputs, marshal, marshal_with, reqparse
 from libs.helper import TimestampField
 from libs.login import login_required
 from models.account import Tenant

api/controllers/console/wraps.py

@@ -1,10 +1,10 @@
-# -*- coding:utf-8 -*-
 import json
 from functools import wraps
 
-from controllers.console.workspace.error import AccountNotInitializedError
 from flask import abort, current_app, request
 from flask_login import current_user
+
+from controllers.console.workspace.error import AccountNotInitializedError
 from services.feature_service import FeatureService
 from services.operation_service import OperationService
 
@@ -56,6 +56,7 @@ def cloud_edition_billing_resource_check(resource: str,
                 members = features.members
                 apps = features.apps
                 vector_space = features.vector_space
+                documents_upload_quota = features.documents_upload_quota
                 annotation_quota_limit = features.annotation_quota_limit
 
                 if resource == 'members' and 0 < members.limit <= members.size:
@@ -64,6 +65,13 @@ def cloud_edition_billing_resource_check(resource: str,
                     abort(403, error_msg)
                 elif resource == 'vector_space' and 0 < vector_space.limit <= vector_space.size:
                     abort(403, error_msg)
+                elif resource == 'documents' and 0 < documents_upload_quota.limit <= documents_upload_quota.size:
+                    # The api of file upload is used in the multiple places, so we need to check the source of the request from datasets
+                    source = request.args.get('source')
+                    if source == 'datasets':
+                        abort(403, error_msg)
+                    else:
+                        return view(*args, **kwargs)
                 elif resource == 'workspace_custom' and not features.can_replace_logo:
                     abort(403, error_msg)
                 elif resource == 'annotation' and 0 < annotation_quota_limit.limit < annotation_quota_limit.size:

api/controllers/files/image_preview.py

@@ -1,11 +1,12 @@
-import services
-from controllers.files import api
 from flask import Response, request
 from flask_restful import Resource
+from werkzeug.exceptions import NotFound
+
+import services
+from controllers.files import api
 from libs.exception import BaseHTTPException
 from services.account_service import TenantService
 from services.file_service import FileService
-from werkzeug.exceptions import NotFound
 
 
 class ImagePreviewApi(Resource):
@@ -40,7 +41,7 @@ class WorkspaceWebappLogoApi(Resource):
         webapp_logo_file_id = custom_config.get('replace_webapp_logo') if custom_config is not None else None
 
         if not webapp_logo_file_id:
-            raise NotFound(f'webapp logo is not found')
+            raise NotFound('webapp logo is not found')
 
         try:
             generator, mimetype = FileService.get_public_image_preview(

api/controllers/files/tool_files.py

@@ -1,10 +1,11 @@
-from controllers.files import api
-from core.tools.tool_file_manager import ToolFileManager
 from flask import Response
 from flask_restful import Resource, reqparse
-from libs.exception import BaseHTTPException
 from werkzeug.exceptions import Forbidden, NotFound
 
+from controllers.files import api
+from core.tools.tool_file_manager import ToolFileManager
+from libs.exception import BaseHTTPException
+
 
 class ToolFilePreviewApi(Resource):
     def get(self, file_id, extension):
@@ -31,7 +32,7 @@ class ToolFilePreviewApi(Resource):
             )
 
             if not result:
-                raise NotFound(f'file is not found')
+                raise NotFound('file is not found')
             
             generator, mimetype = result
         except Exception:

api/controllers/service_api/app/__init__.py

@@ -1,27 +0,0 @@
-from extensions.ext_database import db
-from models.model import EndUser
-
-
-def create_or_update_end_user_for_user_id(app_model, user_id):
-    """
-    Create or update session terminal based on user ID.
-    """
-    end_user = db.session.query(EndUser) \
-        .filter(
-        EndUser.tenant_id == app_model.tenant_id,
-        EndUser.session_id == user_id,
-        EndUser.type == 'service_api'
-    ).first()
-
-    if end_user is None:
-        end_user = EndUser(
-            tenant_id=app_model.tenant_id,
-            app_id=app_model.id,
-            type='service_api',
-            is_anonymous=True,
-            session_id=user_id
-        )
-        db.session.add(end_user)
-        db.session.commit()
-
-    return end_user

api/controllers/service_api/app/app.py

@@ -1,16 +1,16 @@
-# -*- coding:utf-8 -*-
 import json
 
-from controllers.service_api import api
-from controllers.service_api.wraps import AppApiResource
-from extensions.ext_database import db
 from flask import current_app
-from flask_restful import fields, marshal_with
+from flask_restful import fields, marshal_with, Resource
+
+from controllers.service_api import api
+from controllers.service_api.wraps import validate_app_token
+from extensions.ext_database import db
 from models.model import App, AppModelConfig
 from models.tools import ApiToolProvider
 
 
-class AppParameterApi(AppApiResource):
+class AppParameterApi(Resource):
     """Resource for app variables."""
 
     variable_fields = {
@@ -42,8 +42,9 @@ class AppParameterApi(AppApiResource):
         'system_parameters': fields.Nested(system_parameters_fields)
     }
 
+    @validate_app_token
     @marshal_with(parameters_fields)
-    def get(self, app_model: App, end_user):
+    def get(self, app_model: App):
         """Retrieve app parameters."""
         app_model_config = app_model.app_model_config
 
@@ -64,8 +65,9 @@ class AppParameterApi(AppApiResource):
             }
         }
 
-class AppMetaApi(AppApiResource):
-    def get(self, app_model: App, end_user):
+class AppMetaApi(Resource):
+    @validate_app_token
+    def get(self, app_model: App):
         """Get app meta"""
         app_model_config: AppModelConfig = app_model.app_model_config
 
@@ -77,7 +79,7 @@ class AppMetaApi(AppApiResource):
         # get all tools
         tools = agent_config.get('tools', [])
         url_prefix = (current_app.config.get("CONSOLE_API_URL")
-                  + f"/console/api/workspaces/current/tool-provider/builtin/")
+                  + "/console/api/workspaces/current/tool-provider/builtin/")
         for tool in tools:
             keys = list(tool.keys())
             if len(keys) >= 4:

api/controllers/service_api/app/audio.py

@@ -1,25 +1,38 @@
 import logging
 
+from flask import request
+from flask_restful import Resource, reqparse
+from werkzeug.exceptions import InternalServerError
+
 import services
 from controllers.service_api import api
-from controllers.service_api.app.error import (AppUnavailableError, AudioTooLargeError, CompletionRequestError,
-                                               NoAudioUploadedError, ProviderModelCurrentlyNotSupportError,
-                                               ProviderNotInitializeError, ProviderNotSupportSpeechToTextError,
-                                               ProviderQuotaExceededError, UnsupportedAudioTypeError)
-from controllers.service_api.wraps import AppApiResource
+from controllers.service_api.app.error import (
+    AppUnavailableError,
+    AudioTooLargeError,
+    CompletionRequestError,
+    NoAudioUploadedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderNotSupportSpeechToTextError,
+    ProviderQuotaExceededError,
+    UnsupportedAudioTypeError,
+)
+from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from flask import request
-from flask_restful import reqparse
-from models.model import App, AppModelConfig
+from models.model import App, AppModelConfig, EndUser
 from services.audio_service import AudioService
-from services.errors.audio import (AudioTooLargeServiceError, NoAudioUploadedServiceError,
-                                   ProviderNotSupportSpeechToTextServiceError, UnsupportedAudioTypeServiceError)
-from werkzeug.exceptions import InternalServerError
+from services.errors.audio import (
+    AudioTooLargeServiceError,
+    NoAudioUploadedServiceError,
+    ProviderNotSupportSpeechToTextServiceError,
+    UnsupportedAudioTypeServiceError,
+)
 
 
-class AudioApi(AppApiResource):
-    def post(self, app_model: App, end_user):
+class AudioApi(Resource):
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.FORM))
+    def post(self, app_model: App, end_user: EndUser):
         app_model_config: AppModelConfig = app_model.app_model_config
 
         if not app_model_config.speech_to_text_dict['enabled']:
@@ -31,7 +44,7 @@ class AudioApi(AppApiResource):
             response = AudioService.transcript_asr(
                 tenant_id=app_model.tenant_id,
                 file=file,
-                end_user=end_user
+                end_user=end_user.get_id()
             )
 
             return response
@@ -61,11 +74,11 @@ class AudioApi(AppApiResource):
             raise InternalServerError()
 
 
-class TextApi(AppApiResource):
-    def post(self, app_model: App, end_user):
+class TextApi(Resource):
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
+    def post(self, app_model: App, end_user: EndUser):
         parser = reqparse.RequestParser()
         parser.add_argument('text', type=str, required=True, nullable=False, location='json')
-        parser.add_argument('user', type=str, required=True, nullable=False, location='json')
         parser.add_argument('streaming', type=bool, required=False, nullable=False, location='json')
         args = parser.parse_args()
 
@@ -73,7 +86,8 @@ class TextApi(AppApiResource):
             response = AudioService.transcript_tts(
                 tenant_id=app_model.tenant_id,
                 text=args['text'],
-                end_user=args['user'],
+                end_user=end_user.get_id(),
+                voice=app_model.app_model_config.text_to_speech_dict.get('voice'),
                 streaming=args['streaming']
             )
 

api/controllers/service_api/app/completion.py

@@ -1,27 +1,36 @@
 import json
 import logging
-from typing import Generator, Union
+from collections.abc import Generator
+from typing import Union
+
+from flask import Response, stream_with_context
+from flask_restful import Resource, reqparse
+from werkzeug.exceptions import InternalServerError, NotFound
 
 import services
 from controllers.service_api import api
-from controllers.service_api.app import create_or_update_end_user_for_user_id
-from controllers.service_api.app.error import (AppUnavailableError, CompletionRequestError, ConversationCompletedError,
-                                               NotChatAppError, ProviderModelCurrentlyNotSupportError,
-                                               ProviderNotInitializeError, ProviderQuotaExceededError)
-from controllers.service_api.wraps import AppApiResource
+from controllers.service_api.app.error import (
+    AppUnavailableError,
+    CompletionRequestError,
+    ConversationCompletedError,
+    NotChatAppError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
 from core.application_queue_manager import ApplicationQueueManager
 from core.entities.application_entities import InvokeFrom
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from flask import Response, stream_with_context
-from flask_restful import reqparse
 from libs.helper import uuid_value
+from models.model import App, EndUser
 from services.completion_service import CompletionService
-from werkzeug.exceptions import InternalServerError, NotFound
 
 
-class CompletionApi(AppApiResource):
-    def post(self, app_model, end_user):
+class CompletionApi(Resource):
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
+    def post(self, app_model: App, end_user: EndUser):
         if app_model.mode != 'completion':
             raise AppUnavailableError()
 
@@ -30,16 +39,12 @@ class CompletionApi(AppApiResource):
         parser.add_argument('query', type=str, location='json', default='')
         parser.add_argument('files', type=list, required=False, location='json')
         parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
-        parser.add_argument('user', required=True, nullable=False, type=str, location='json')
         parser.add_argument('retriever_from', type=str, required=False, default='dev', location='json')
 
         args = parser.parse_args()
 
         streaming = args['response_mode'] == 'streaming'
 
-        if end_user is None and args['user'] is not None:
-            end_user = create_or_update_end_user_for_user_id(app_model, args['user'])
-
         args['auto_generate_name'] = False
 
         try:
@@ -74,29 +79,20 @@ class CompletionApi(AppApiResource):
             raise InternalServerError()
 
 
-class CompletionStopApi(AppApiResource):
-    def post(self, app_model, end_user, task_id):
+class CompletionStopApi(Resource):
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
+    def post(self, app_model: App, end_user: EndUser, task_id):
         if app_model.mode != 'completion':
             raise AppUnavailableError()
 
-        if end_user is None:
-            parser = reqparse.RequestParser()
-            parser.add_argument('user', required=True, nullable=False, type=str, location='json')
-            args = parser.parse_args()
-
-            user = args.get('user')
-            if user is not None:
-                end_user = create_or_update_end_user_for_user_id(app_model, user)
-            else:
-                raise ValueError("arg user muse be input.")
-
         ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.SERVICE_API, end_user.id)
 
         return {'result': 'success'}, 200
 
 
-class ChatApi(AppApiResource):
-    def post(self, app_model, end_user):
+class ChatApi(Resource):
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
+    def post(self, app_model: App, end_user: EndUser):
         if app_model.mode != 'chat':
             raise NotChatAppError()
 
@@ -106,7 +102,6 @@ class ChatApi(AppApiResource):
         parser.add_argument('files', type=list, required=False, location='json')
         parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
         parser.add_argument('conversation_id', type=uuid_value, location='json')
-        parser.add_argument('user', type=str, required=True, nullable=False, location='json')
         parser.add_argument('retriever_from', type=str, required=False, default='dev', location='json')
         parser.add_argument('auto_generate_name', type=bool, required=False, default=True, location='json')
 
@@ -114,9 +109,6 @@ class ChatApi(AppApiResource):
 
         streaming = args['response_mode'] == 'streaming'
 
-        if end_user is None and args['user'] is not None:
-            end_user = create_or_update_end_user_for_user_id(app_model, args['user'])
-
         try:
             response = CompletionService.completion(
                 app_model=app_model,
@@ -149,22 +141,12 @@ class ChatApi(AppApiResource):
             raise InternalServerError()
 
 
-class ChatStopApi(AppApiResource):
-    def post(self, app_model, end_user, task_id):
+class ChatStopApi(Resource):
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
+    def post(self, app_model: App, end_user: EndUser, task_id):
         if app_model.mode != 'chat':
             raise NotChatAppError()
 
-        if end_user is None:
-            parser = reqparse.RequestParser()
-            parser.add_argument('user', required=True, nullable=False, type=str, location='json')
-            args = parser.parse_args()
-
-            user = args.get('user')
-            if user is not None:
-                end_user = create_or_update_end_user_for_user_id(app_model, user)
-            else:
-                raise ValueError("arg user muse be input.")
-
         ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.SERVICE_API, end_user.id)
 
         return {'result': 'success'}, 200
@@ -175,8 +157,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            for chunk in response:
-                yield chunk
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')

api/controllers/service_api/app/conversation.py

@@ -1,52 +1,44 @@
-# -*- coding:utf-8 -*-
-import services
-from controllers.service_api import api
-from controllers.service_api.app import create_or_update_end_user_for_user_id
-from controllers.service_api.app.error import NotChatAppError
-from controllers.service_api.wraps import AppApiResource
-from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
-from flask import request
-from flask_restful import fields, marshal_with, reqparse
+from flask_restful import Resource, marshal_with, reqparse
 from flask_restful.inputs import int_range
-from libs.helper import TimestampField, uuid_value
-from services.conversation_service import ConversationService
 from werkzeug.exceptions import NotFound
 
+import services
+from controllers.service_api import api
+from controllers.service_api.app.error import NotChatAppError
+from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
+from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
+from libs.helper import uuid_value
+from models.model import App, EndUser
+from services.conversation_service import ConversationService
 
-class ConversationApi(AppApiResource):
 
+class ConversationApi(Resource):
+
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
     @marshal_with(conversation_infinite_scroll_pagination_fields)
-    def get(self, app_model, end_user):
+    def get(self, app_model: App, end_user: EndUser):
         if app_model.mode != 'chat':
             raise NotChatAppError()
 
         parser = reqparse.RequestParser()
         parser.add_argument('last_id', type=uuid_value, location='args')
         parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args')
-        parser.add_argument('user', type=str, location='args')
         args = parser.parse_args()
 
-        if end_user is None and args['user'] is not None:
-            end_user = create_or_update_end_user_for_user_id(app_model, args['user'])
-
         try:
             return ConversationService.pagination_by_last_id(app_model, end_user, args['last_id'], args['limit'])
         except services.errors.conversation.LastConversationNotExistsError:
             raise NotFound("Last Conversation Not Exists.")
 
-class ConversationDetailApi(AppApiResource):
+class ConversationDetailApi(Resource):
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
     @marshal_with(simple_conversation_fields)
-    def delete(self, app_model, end_user, c_id):
+    def delete(self, app_model: App, end_user: EndUser, c_id):
         if app_model.mode != 'chat':
             raise NotChatAppError()
 
         conversation_id = str(c_id)
 
-        user = request.get_json().get('user')
-
-        if end_user is None and user is not None:
-            end_user = create_or_update_end_user_for_user_id(app_model, user)
-
         try:
             ConversationService.delete(app_model, conversation_id, end_user)
         except services.errors.conversation.ConversationNotExistsError:
@@ -54,10 +46,11 @@ class ConversationDetailApi(AppApiResource):
         return {"result": "success"}, 204
 
 
-class ConversationRenameApi(AppApiResource):
+class ConversationRenameApi(Resource):
 
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
     @marshal_with(simple_conversation_fields)
-    def post(self, app_model, end_user, c_id):
+    def post(self, app_model: App, end_user: EndUser, c_id):
         if app_model.mode != 'chat':
             raise NotChatAppError()
 
@@ -65,13 +58,9 @@ class ConversationRenameApi(AppApiResource):
 
         parser = reqparse.RequestParser()
         parser.add_argument('name', type=str, required=False, location='json')
-        parser.add_argument('user', type=str, location='json')
         parser.add_argument('auto_generate', type=bool, required=False, default=False, location='json')
         args = parser.parse_args()
 
-        if end_user is None and args['user'] is not None:
-            end_user = create_or_update_end_user_for_user_id(app_model, args['user'])
-
         try:
             return ConversationService.rename(
                 app_model,

api/controllers/service_api/app/error.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 from libs.exception import BaseHTTPException
 
 

api/controllers/service_api/app/file.py

@@ -1,25 +1,27 @@
+from flask import request
+from flask_restful import Resource, marshal_with
+
 import services
 from controllers.service_api import api
-from controllers.service_api.app import create_or_update_end_user_for_user_id
-from controllers.service_api.app.error import (FileTooLargeError, NoFileUploadedError, TooManyFilesError,
-                                               UnsupportedFileTypeError)
-from controllers.service_api.wraps import AppApiResource
+from controllers.service_api.app.error import (
+    FileTooLargeError,
+    NoFileUploadedError,
+    TooManyFilesError,
+    UnsupportedFileTypeError,
+)
+from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
 from fields.file_fields import file_fields
-from flask import request
-from flask_restful import marshal_with
+from models.model import App, EndUser
 from services.file_service import FileService
 
 
-class FileApi(AppApiResource):
+class FileApi(Resource):
 
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.FORM))
     @marshal_with(file_fields)
-    def post(self, app_model, end_user):
+    def post(self, app_model: App, end_user: EndUser):
 
         file = request.files['file']
-        user_args = request.form.get('user')
-
-        if end_user is None and user_args is not None:
-            end_user = create_or_update_end_user_for_user_id(app_model, user_args)
 
         # check file
         if 'file' not in request.files:

api/controllers/service_api/app/message.py

@@ -1,20 +1,18 @@
-# -*- coding:utf-8 -*-
-import services
-from controllers.service_api import api
-from controllers.service_api.app import create_or_update_end_user_for_user_id
-from controllers.service_api.app.error import NotChatAppError
-from controllers.service_api.wraps import AppApiResource
-from extensions.ext_database import db
-from fields.conversation_fields import message_file_fields
-from flask_restful import fields, marshal_with, reqparse
+from flask_restful import Resource, fields, marshal_with, reqparse
 from flask_restful.inputs import int_range
-from libs.helper import TimestampField, uuid_value
-from models.model import EndUser, Message
-from services.message_service import MessageService
 from werkzeug.exceptions import NotFound
 
+import services
+from controllers.service_api import api
+from controllers.service_api.app.error import NotChatAppError
+from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
+from fields.conversation_fields import message_file_fields
+from libs.helper import TimestampField, uuid_value
+from models.model import App, EndUser
+from services.message_service import MessageService
 
-class MessageListApi(AppApiResource):
+
+class MessageListApi(Resource):
     feedback_fields = {
         'rating': fields.String
     }
@@ -70,8 +68,9 @@ class MessageListApi(AppApiResource):
         'data': fields.List(fields.Nested(message_fields))
     }
 
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
     @marshal_with(message_infinite_scroll_pagination_fields)
-    def get(self, app_model, end_user):
+    def get(self, app_model: App, end_user: EndUser):
         if app_model.mode != 'chat':
             raise NotChatAppError()
 
@@ -79,12 +78,8 @@ class MessageListApi(AppApiResource):
         parser.add_argument('conversation_id', required=True, type=uuid_value, location='args')
         parser.add_argument('first_id', type=uuid_value, location='args')
         parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args')
-        parser.add_argument('user', type=str, location='args')
         args = parser.parse_args()
 
-        if end_user is None and args['user'] is not None:
-            end_user = create_or_update_end_user_for_user_id(app_model, args['user'])
-
         try:
             return MessageService.pagination_by_first_id(app_model, end_user,
                                                          args['conversation_id'], args['first_id'], args['limit'])
@@ -94,18 +89,15 @@ class MessageListApi(AppApiResource):
             raise NotFound("First Message Not Exists.")
 
 
-class MessageFeedbackApi(AppApiResource):
-    def post(self, app_model, end_user, message_id):
+class MessageFeedbackApi(Resource):
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
+    def post(self, app_model: App, end_user: EndUser, message_id):
         message_id = str(message_id)
 
         parser = reqparse.RequestParser()
         parser.add_argument('rating', type=str, choices=['like', 'dislike', None], location='json')
-        parser.add_argument('user', type=str, location='json')
         args = parser.parse_args()
 
-        if end_user is None and args['user'] is not None:
-            end_user = create_or_update_end_user_for_user_id(app_model, args['user'])
-
         try:
             MessageService.create_feedback(app_model, message_id, end_user, args['rating'])
         except services.errors.message.MessageNotExistsError:
@@ -114,29 +106,17 @@ class MessageFeedbackApi(AppApiResource):
         return {'result': 'success'}
 
 
-class MessageSuggestedApi(AppApiResource):
-    def get(self, app_model, end_user, message_id):
+class MessageSuggestedApi(Resource):
+    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
+    def get(self, app_model: App, end_user: EndUser, message_id):
         message_id = str(message_id)
         if app_model.mode != 'chat':
             raise NotChatAppError()
-        try:
-            message = db.session.query(Message).filter(
-                Message.id == message_id,
-                Message.app_id == app_model.id,
-            ).first()
 
-            if end_user is None and message.from_end_user_id is not None:
-                user = db.session.query(EndUser) \
-                    .filter(
-                        EndUser.tenant_id == app_model.tenant_id,
-                        EndUser.id == message.from_end_user_id,
-                        EndUser.type == 'service_api'
-                    ).first()
-            else:
-                user = end_user
+        try:
             questions = MessageService.get_suggested_questions_after_answer(
                 app_model=app_model,
-                user=user,
+                user=end_user,
                 message_id=message_id,
                 check_enabled=False
             )

api/controllers/service_api/dataset/dataset.py

@@ -1,3 +1,6 @@
+from flask import request
+from flask_restful import marshal, reqparse
+
 import services.dataset_service
 from controllers.service_api import api
 from controllers.service_api.dataset.error import DatasetNameDuplicateError
@@ -5,8 +8,6 @@ from controllers.service_api.wraps import DatasetApiResource
 from core.model_runtime.entities.model_entities import ModelType
 from core.provider_manager import ProviderManager
 from fields.dataset_fields import dataset_detail_fields
-from flask import request
-from flask_restful import marshal, reqparse
 from libs.login import current_user
 from models.dataset import Dataset
 from services.dataset_service import DatasetService

api/controllers/service_api/dataset/document.py

@@ -1,29 +1,34 @@
 import json
 
+from flask import request
+from flask_restful import marshal, reqparse
+from sqlalchemy import desc
+from werkzeug.exceptions import NotFound
+
 import services.dataset_service
 from controllers.service_api import api
 from controllers.service_api.app.error import ProviderNotInitializeError
-from controllers.service_api.dataset.error import (ArchivedDocumentImmutableError, DocumentIndexingError,
-                                                   NoFileUploadedError, TooManyFilesError)
+from controllers.service_api.dataset.error import (
+    ArchivedDocumentImmutableError,
+    DocumentIndexingError,
+    NoFileUploadedError,
+    TooManyFilesError,
+)
 from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
 from core.errors.error import ProviderTokenNotInitError
 from extensions.ext_database import db
 from fields.document_fields import document_fields, document_status_fields
-from flask import request
-from flask_login import current_user
-from flask_restful import marshal, reqparse
 from libs.login import current_user
 from models.dataset import Dataset, Document, DocumentSegment
 from services.dataset_service import DocumentService
 from services.file_service import FileService
-from sqlalchemy import desc
-from werkzeug.exceptions import NotFound
 
 
 class DocumentAddByTextApi(DatasetApiResource):
     """Resource for documents."""
 
     @cloud_edition_billing_resource_check('vector_space', 'dataset')
+    @cloud_edition_billing_resource_check('documents', 'dataset')
     def post(self, tenant_id, dataset_id):
         """Create document by text."""
         parser = reqparse.RequestParser()
@@ -149,6 +154,7 @@ class DocumentUpdateByTextApi(DatasetApiResource):
 class DocumentAddByFileApi(DatasetApiResource):
     """Resource for documents."""
     @cloud_edition_billing_resource_check('vector_space', 'dataset')
+    @cloud_edition_billing_resource_check('documents', 'dataset')
     def post(self, tenant_id, dataset_id):
         """Create document by upload file."""
         args = {}

api/controllers/service_api/dataset/segment.py

@@ -1,3 +1,7 @@
+from flask_login import current_user
+from flask_restful import marshal, reqparse
+from werkzeug.exceptions import NotFound
+
 from controllers.service_api import api
 from controllers.service_api.app.error import ProviderNotInitializeError
 from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
@@ -6,11 +10,8 @@ from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
 from extensions.ext_database import db
 from fields.segment_fields import segment_fields
-from flask_login import current_user
-from flask_restful import marshal, reqparse
 from models.dataset import Dataset, DocumentSegment
 from services.dataset_service import DatasetService, DocumentService, SegmentService
-from werkzeug.exceptions import NotFound
 
 
 class SegmentApi(DatasetApiResource):
@@ -45,8 +46,8 @@ class SegmentApi(DatasetApiResource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
         # validate args
@@ -89,8 +90,8 @@ class SegmentApi(DatasetApiResource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
 
@@ -181,8 +182,8 @@ class DatasetSegmentApi(DatasetApiResource):
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
             # check segment
@@ -196,11 +197,11 @@ class DatasetSegmentApi(DatasetApiResource):
 
         # validate args
         parser = reqparse.RequestParser()
-        parser.add_argument('segments', type=dict, required=False, nullable=True, location='json')
+        parser.add_argument('segment', type=dict, required=False, nullable=True, location='json')
         args = parser.parse_args()
 
-        SegmentService.segment_create_args_validate(args['segments'], document)
-        segment = SegmentService.update_segment(args['segments'], segment, document, dataset)
+        SegmentService.segment_create_args_validate(args['segment'], document)
+        segment = SegmentService.update_segment(args['segment'], segment, document, dataset)
         return {
             'data': marshal(segment, segment_fields),
             'doc_form': document.doc_form

api/controllers/service_api/index.py

@@ -1,7 +1,8 @@
-from controllers.service_api import api
 from flask import current_app
 from flask_restful import Resource
 
+from controllers.service_api import api
+
 
 class IndexApi(Resource):
     def get(self):

api/controllers/service_api/wraps.py

@@ -1,22 +1,40 @@
-# -*- coding:utf-8 -*-
+from collections.abc import Callable
 from datetime import datetime
+from enum import Enum
 from functools import wraps
+from typing import Optional
 
-from extensions.ext_database import db
 from flask import current_app, request
 from flask_login import user_logged_in
 from flask_restful import Resource
-from libs.login import _get_user
-from models.account import Account, Tenant, TenantAccountJoin
-from models.model import ApiToken, App
-from services.feature_service import FeatureService
+from pydantic import BaseModel
 from werkzeug.exceptions import NotFound, Unauthorized
 
+from extensions.ext_database import db
+from libs.login import _get_user
+from models.account import Account, Tenant, TenantAccountJoin
+from models.model import ApiToken, App, EndUser
+from services.feature_service import FeatureService
 
-def validate_app_token(view=None):
-    def decorator(view):
-        @wraps(view)
-        def decorated(*args, **kwargs):
+
+class WhereisUserArg(Enum):
+    """
+    Enum for whereis_user_arg.
+    """
+    QUERY = 'query'
+    JSON = 'json'
+    FORM = 'form'
+
+
+class FetchUserArg(BaseModel):
+    fetch_from: WhereisUserArg
+    required: bool = False
+
+
+def validate_app_token(view: Optional[Callable] = None, *, fetch_user_arg: Optional[FetchUserArg] = None):
+    def decorator(view_func):
+        @wraps(view_func)
+        def decorated_view(*args, **kwargs):
             api_token = validate_and_get_api_token('app')
 
             app_model = db.session.query(App).filter(App.id == api_token.app_id).first()
@@ -29,16 +47,35 @@ def validate_app_token(view=None):
             if not app_model.enable_api:
                 raise NotFound()
 
-            return view(app_model, None, *args, **kwargs)
-        return decorated
+            kwargs['app_model'] = app_model
 
-    if view:
+            if fetch_user_arg:
+                if fetch_user_arg.fetch_from == WhereisUserArg.QUERY:
+                    user_id = request.args.get('user')
+                elif fetch_user_arg.fetch_from == WhereisUserArg.JSON:
+                    user_id = request.get_json().get('user')
+                elif fetch_user_arg.fetch_from == WhereisUserArg.FORM:
+                    user_id = request.form.get('user')
+                else:
+                    # use default-user
+                    user_id = None
+
+                if not user_id and fetch_user_arg.required:
+                    raise ValueError("Arg user must be provided.")
+
+                if user_id:
+                    user_id = str(user_id)
+
+                kwargs['end_user'] = create_or_update_end_user_for_user_id(app_model, user_id)
+
+            return view_func(*args, **kwargs)
+        return decorated_view
+
+    if view is None:
+        return decorator
+    else:
         return decorator(view)
 
-    # if view is None, it means that the decorator is used without parentheses
-    # use the decorator as a function for method_decorators
-    return decorator
-
 
 def cloud_edition_billing_resource_check(resource: str,
                                          api_token_type: str,
@@ -52,6 +89,7 @@ def cloud_edition_billing_resource_check(resource: str,
                 members = features.members
                 apps = features.apps
                 vector_space = features.vector_space
+                documents_upload_quota = features.documents_upload_quota
 
                 if resource == 'members' and 0 < members.limit <= members.size:
                     raise Unauthorized(error_msg)
@@ -59,6 +97,8 @@ def cloud_edition_billing_resource_check(resource: str,
                     raise Unauthorized(error_msg)
                 elif resource == 'vector_space' and 0 < vector_space.limit <= vector_space.size:
                     raise Unauthorized(error_msg)
+                elif resource == 'documents' and 0 < documents_upload_quota.limit <= documents_upload_quota.size:
+                    raise Unauthorized(error_msg)
                 else:
                     return view(*args, **kwargs)
 
@@ -128,8 +168,33 @@ def validate_and_get_api_token(scope=None):
     return api_token
 
 
-class AppApiResource(Resource):
-    method_decorators = [validate_app_token]
+def create_or_update_end_user_for_user_id(app_model: App, user_id: Optional[str] = None) -> EndUser:
+    """
+    Create or update session terminal based on user ID.
+    """
+    if not user_id:
+        user_id = 'DEFAULT-USER'
+
+    end_user = db.session.query(EndUser) \
+        .filter(
+        EndUser.tenant_id == app_model.tenant_id,
+        EndUser.app_id == app_model.id,
+        EndUser.session_id == user_id,
+        EndUser.type == 'service_api'
+    ).first()
+
+    if end_user is None:
+        end_user = EndUser(
+            tenant_id=app_model.tenant_id,
+            app_id=app_model.id,
+            type='service_api',
+            is_anonymous=True if user_id == 'DEFAULT-USER' else False,
+            session_id=user_id
+        )
+        db.session.add(end_user)
+        db.session.commit()
+
+    return end_user
 
 
 class DatasetApiResource(Resource):

api/controllers/web/app.py

@@ -1,11 +1,11 @@
-# -*- coding:utf-8 -*-
 import json
 
+from flask import current_app
+from flask_restful import fields, marshal_with
+
 from controllers.web import api
 from controllers.web.wraps import WebApiResource
 from extensions.ext_database import db
-from flask import current_app
-from flask_restful import fields, marshal_with
 from models.model import App, AppModelConfig
 from models.tools import ApiToolProvider
 
@@ -76,7 +76,7 @@ class AppMeta(WebApiResource):
         # get all tools
         tools = agent_config.get('tools', [])
         url_prefix = (current_app.config.get("CONSOLE_API_URL")
-                  + f"/console/api/workspaces/current/tool-provider/builtin/")
+                  + "/console/api/workspaces/current/tool-provider/builtin/")
         for tool in tools:
             keys = list(tool.keys())
             if len(keys) >= 4:

api/controllers/web/audio.py

@@ -1,21 +1,32 @@
-# -*- coding:utf-8 -*-
 import logging
 
+from flask import request
+from werkzeug.exceptions import InternalServerError
+
 import services
 from controllers.web import api
-from controllers.web.error import (AppUnavailableError, AudioTooLargeError, CompletionRequestError,
-                                   NoAudioUploadedError, ProviderModelCurrentlyNotSupportError,
-                                   ProviderNotInitializeError, ProviderNotSupportSpeechToTextError,
-                                   ProviderQuotaExceededError, UnsupportedAudioTypeError)
+from controllers.web.error import (
+    AppUnavailableError,
+    AudioTooLargeError,
+    CompletionRequestError,
+    NoAudioUploadedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderNotSupportSpeechToTextError,
+    ProviderQuotaExceededError,
+    UnsupportedAudioTypeError,
+)
 from controllers.web.wraps import WebApiResource
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from flask import request
 from models.model import App, AppModelConfig
 from services.audio_service import AudioService
-from services.errors.audio import (AudioTooLargeServiceError, NoAudioUploadedServiceError,
-                                   ProviderNotSupportSpeechToTextServiceError, UnsupportedAudioTypeServiceError)
-from werkzeug.exceptions import InternalServerError
+from services.errors.audio import (
+    AudioTooLargeServiceError,
+    NoAudioUploadedServiceError,
+    ProviderNotSupportSpeechToTextServiceError,
+    UnsupportedAudioTypeServiceError,
+)
 
 
 class AudioApi(WebApiResource):
@@ -57,17 +68,23 @@ class AudioApi(WebApiResource):
         except ValueError as e:
             raise e
         except Exception as e:
-            logging.exception("internal server error.")
+            logging.exception(f"internal server error: {str(e)}")
             raise InternalServerError()
 
 
 class TextApi(WebApiResource):
     def post(self, app_model: App, end_user):
+        app_model_config: AppModelConfig = app_model.app_model_config
+
+        if not app_model_config.text_to_speech_dict['enabled']:
+            raise AppUnavailableError()
+
         try:
             response = AudioService.transcript_tts(
                 tenant_id=app_model.tenant_id,
                 text=request.form['text'],
                 end_user=end_user.external_user_id,
+                voice=request.form['voice'] if request.form['voice'] else app_model.app_model_config.text_to_speech_dict.get('voice'),
                 streaming=False
             )
 
@@ -94,7 +111,7 @@ class TextApi(WebApiResource):
         except ValueError as e:
             raise e
         except Exception as e:
-            logging.exception("internal server error.")
+            logging.exception(f"internal server error: {str(e)}")
             raise InternalServerError()
 
 

api/controllers/web/completion.py

@@ -1,23 +1,31 @@
-# -*- coding:utf-8 -*-
 import json
 import logging
-from typing import Generator, Union
+from collections.abc import Generator
+from typing import Union
+
+from flask import Response, stream_with_context
+from flask_restful import reqparse
+from werkzeug.exceptions import InternalServerError, NotFound
 
 import services
 from controllers.web import api
-from controllers.web.error import (AppUnavailableError, CompletionRequestError, ConversationCompletedError,
-                                   NotChatAppError, NotCompletionAppError, ProviderModelCurrentlyNotSupportError,
-                                   ProviderNotInitializeError, ProviderQuotaExceededError)
+from controllers.web.error import (
+    AppUnavailableError,
+    CompletionRequestError,
+    ConversationCompletedError,
+    NotChatAppError,
+    NotCompletionAppError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
 from controllers.web.wraps import WebApiResource
 from core.application_queue_manager import ApplicationQueueManager
 from core.entities.application_entities import InvokeFrom
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
-from flask import Response, stream_with_context
-from flask_restful import reqparse
 from libs.helper import uuid_value
 from services.completion_service import CompletionService
-from werkzeug.exceptions import InternalServerError, NotFound
 
 
 # define completion api for user
@@ -146,8 +154,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            for chunk in response:
-                yield chunk
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')

api/controllers/web/conversation.py

@@ -1,15 +1,15 @@
-# -*- coding:utf-8 -*-
+from flask_restful import marshal_with, reqparse
+from flask_restful.inputs import int_range
+from werkzeug.exceptions import NotFound
+
 from controllers.web import api
 from controllers.web.error import NotChatAppError
 from controllers.web.wraps import WebApiResource
 from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
-from flask_restful import fields, marshal_with, reqparse
-from flask_restful.inputs import int_range
-from libs.helper import TimestampField, uuid_value
+from libs.helper import uuid_value
 from services.conversation_service import ConversationService
 from services.errors.conversation import ConversationNotExistsError, LastConversationNotExistsError
 from services.web_conversation_service import WebConversationService
-from werkzeug.exceptions import NotFound
 
 
 class ConversationListApi(WebApiResource):

api/controllers/web/error.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 from libs.exception import BaseHTTPException
 
 

api/controllers/web/file.py

@@ -1,10 +1,11 @@
+from flask import request
+from flask_restful import marshal_with
+
 import services
 from controllers.web import api
 from controllers.web.error import FileTooLargeError, NoFileUploadedError, TooManyFilesError, UnsupportedFileTypeError
 from controllers.web.wraps import WebApiResource
 from fields.file_fields import file_fields
-from flask import request
-from flask_restful import marshal_with
 from services.file_service import FileService
 
 

api/controllers/web/message.py

@@ -1,30 +1,37 @@
-# -*- coding:utf-8 -*-
 import json
 import logging
-from typing import Generator, Union
+from collections.abc import Generator
+from typing import Union
+
+from flask import Response, stream_with_context
+from flask_restful import fields, marshal_with, reqparse
+from flask_restful.inputs import int_range
+from werkzeug.exceptions import InternalServerError, NotFound
 
 import services
 from controllers.web import api
-from controllers.web.error import (AppMoreLikeThisDisabledError, AppSuggestedQuestionsAfterAnswerDisabledError,
-                                   CompletionRequestError, NotChatAppError, NotCompletionAppError,
-                                   ProviderModelCurrentlyNotSupportError, ProviderNotInitializeError,
-                                   ProviderQuotaExceededError)
+from controllers.web.error import (
+    AppMoreLikeThisDisabledError,
+    AppSuggestedQuestionsAfterAnswerDisabledError,
+    CompletionRequestError,
+    NotChatAppError,
+    NotCompletionAppError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
 from controllers.web.wraps import WebApiResource
 from core.entities.application_entities import InvokeFrom
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
 from core.model_runtime.errors.invoke import InvokeError
 from fields.conversation_fields import message_file_fields
 from fields.message_fields import agent_thought_fields
-from flask import Response, stream_with_context
-from flask_restful import fields, marshal_with, reqparse
-from flask_restful.inputs import int_range
 from libs.helper import TimestampField, uuid_value
 from services.completion_service import CompletionService
 from services.errors.app import MoreLikeThisDisabledError
 from services.errors.conversation import ConversationNotExistsError
 from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
 from services.message_service import MessageService
-from werkzeug.exceptions import InternalServerError, NotFound
 
 
 class MessageListApi(WebApiResource):
@@ -153,8 +160,7 @@ def compact_response(response: Union[dict, Generator]) -> Response:
         return Response(response=json.dumps(response), status=200, mimetype='application/json')
     else:
         def generate() -> Generator:
-            for chunk in response:
-                yield chunk
+            yield from response
 
         return Response(stream_with_context(generate()), status=200,
                         mimetype='text/event-stream')

api/controllers/web/passport.py

@@ -1,13 +1,13 @@
-# -*- coding:utf-8 -*-
 import uuid
 
+from flask import request
+from flask_restful import Resource
+from werkzeug.exceptions import NotFound, Unauthorized
+
 from controllers.web import api
 from extensions.ext_database import db
-from flask import request
-from flask_restful import Resource
 from libs.passport import PassportService
 from models.model import App, EndUser, Site
-from werkzeug.exceptions import NotFound, Unauthorized
 
 
 class PassportResource(Resource):

api/controllers/web/saved_message.py

@@ -1,13 +1,14 @@
+from flask_restful import fields, marshal_with, reqparse
+from flask_restful.inputs import int_range
+from werkzeug.exceptions import NotFound
+
 from controllers.web import api
 from controllers.web.error import NotCompletionAppError
 from controllers.web.wraps import WebApiResource
 from fields.conversation_fields import message_file_fields
-from flask_restful import fields, marshal_with, reqparse
-from flask_restful.inputs import int_range
 from libs.helper import TimestampField, uuid_value
 from services.errors.message import MessageNotExistsError
 from services.saved_message_service import SavedMessageService
-from werkzeug.exceptions import NotFound
 
 feedback_fields = {
     'rating': fields.String

api/controllers/web/site.py

@@ -1,14 +1,13 @@
-# -*- coding:utf-8 -*-
-import os
+
+from flask import current_app
+from flask_restful import fields, marshal_with
+from werkzeug.exceptions import Forbidden
 
 from controllers.web import api
 from controllers.web.wraps import WebApiResource
 from extensions.ext_database import db
-from flask import current_app
-from flask_restful import fields, marshal_with
 from models.model import Site
 from services.feature_service import FeatureService
-from werkzeug.exceptions import Forbidden
 
 
 class AppSiteApi(WebApiResource):

api/controllers/web/wraps.py

@@ -1,12 +1,12 @@
-# -*- coding:utf-8 -*-
 from functools import wraps
 
-from extensions.ext_database import db
 from flask import request
 from flask_restful import Resource
+from werkzeug.exceptions import NotFound, Unauthorized
+
+from extensions.ext_database import db
 from libs.passport import PassportService
 from models.model import App, EndUser, Site
-from werkzeug.exceptions import NotFound, Unauthorized
 
 
 def validate_jwt_token(view=None):

api/core/agent/agent/calc_token_mixin.py

@@ -1,51 +0,0 @@
-from typing import List, cast
-
-from core.entities.application_entities import ModelConfigEntity
-from core.entities.message_entities import lc_messages_to_prompt_messages
-from core.model_runtime.entities.message_entities import PromptMessage
-from core.model_runtime.entities.model_entities import ModelPropertyKey
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from langchain.schema import BaseMessage
-
-
-class CalcTokenMixin:
-
-    def get_message_rest_tokens(self, model_config: ModelConfigEntity, messages: List[PromptMessage], **kwargs) -> int:
-        """
-        Got the rest tokens available for the model after excluding messages tokens and completion max tokens
-
-        :param model_config:
-        :param messages:
-        :return:
-        """
-        model_type_instance = model_config.provider_model_bundle.model_type_instance
-        model_type_instance = cast(LargeLanguageModel, model_type_instance)
-
-        model_context_tokens = model_config.model_schema.model_properties.get(ModelPropertyKey.CONTEXT_SIZE)
-
-        max_tokens = 0
-        for parameter_rule in model_config.model_schema.parameter_rules:
-            if (parameter_rule.name == 'max_tokens'
-                    or (parameter_rule.use_template and parameter_rule.use_template == 'max_tokens')):
-                max_tokens = (model_config.parameters.get(parameter_rule.name)
-                              or model_config.parameters.get(parameter_rule.use_template)) or 0
-
-        if model_context_tokens is None:
-            return 0
-
-        if max_tokens is None:
-            max_tokens = 0
-
-        prompt_tokens = model_type_instance.get_num_tokens(
-            model_config.model,
-            model_config.credentials,
-            messages
-        )
-
-        rest_tokens = model_context_tokens - max_tokens - prompt_tokens
-
-        return rest_tokens
-
-
-class ExceededLLMTokensLimitError(Exception):
-    pass

api/core/agent/agent/openai_function_call.py

@@ -1,353 +0,0 @@
-from typing import Any, List, Optional, Sequence, Tuple, Union, cast
-
-from core.agent.agent.agent_llm_callback import AgentLLMCallback
-from core.agent.agent.calc_token_mixin import CalcTokenMixin, ExceededLLMTokensLimitError
-from core.chain.llm_chain import LLMChain
-from core.entities.application_entities import ModelConfigEntity
-from core.entities.message_entities import lc_messages_to_prompt_messages
-from core.model_manager import ModelInstance
-from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
-from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
-from core.third_party.langchain.llms.fake import FakeLLM
-from langchain.agents import BaseSingleActionAgent, OpenAIFunctionsAgent
-from langchain.agents.openai_functions_agent.base import _format_intermediate_steps, _parse_ai_message
-from langchain.callbacks.base import BaseCallbackManager
-from langchain.callbacks.manager import Callbacks
-from langchain.chat_models.openai import _convert_message_to_dict, _import_tiktoken
-from langchain.memory.prompt import SUMMARY_PROMPT
-from langchain.prompts.chat import BaseMessagePromptTemplate
-from langchain.schema import (AgentAction, AgentFinish, AIMessage, BaseMessage, HumanMessage, SystemMessage,
-                              get_buffer_string)
-from langchain.tools import BaseTool
-from pydantic import root_validator
-
-
-class AutoSummarizingOpenAIFunctionCallAgent(OpenAIFunctionsAgent, CalcTokenMixin):
-    moving_summary_buffer: str = ""
-    moving_summary_index: int = 0
-    summary_model_config: ModelConfigEntity = None
-    model_config: ModelConfigEntity
-    agent_llm_callback: Optional[AgentLLMCallback] = None
-
-    class Config:
-        """Configuration for this pydantic object."""
-
-        arbitrary_types_allowed = True
-
-    @root_validator
-    def validate_llm(cls, values: dict) -> dict:
-        return values
-
-    @classmethod
-    def from_llm_and_tools(
-            cls,
-            model_config: ModelConfigEntity,
-            tools: Sequence[BaseTool],
-            callback_manager: Optional[BaseCallbackManager] = None,
-            extra_prompt_messages: Optional[List[BaseMessagePromptTemplate]] = None,
-            system_message: Optional[SystemMessage] = SystemMessage(
-                content="You are a helpful AI assistant."
-            ),
-            agent_llm_callback: Optional[AgentLLMCallback] = None,
-            **kwargs: Any,
-    ) -> BaseSingleActionAgent:
-        prompt = cls.create_prompt(
-            extra_prompt_messages=extra_prompt_messages,
-            system_message=system_message,
-        )
-        return cls(
-            model_config=model_config,
-            llm=FakeLLM(response=''),
-            prompt=prompt,
-            tools=tools,
-            callback_manager=callback_manager,
-            agent_llm_callback=agent_llm_callback,
-            **kwargs,
-        )
-
-    def should_use_agent(self, query: str):
-        """
-        return should use agent
-
-        :param query:
-        :return:
-        """
-        original_max_tokens = 0
-        for parameter_rule in self.model_config.model_schema.parameter_rules:
-            if (parameter_rule.name == 'max_tokens'
-                    or (parameter_rule.use_template and parameter_rule.use_template == 'max_tokens')):
-                original_max_tokens = (self.model_config.parameters.get(parameter_rule.name)
-                              or self.model_config.parameters.get(parameter_rule.use_template)) or 0
-
-        self.model_config.parameters['max_tokens'] = 40
-
-        prompt = self.prompt.format_prompt(input=query, agent_scratchpad=[])
-        messages = prompt.to_messages()
-
-        try:
-            prompt_messages = lc_messages_to_prompt_messages(messages)
-            model_instance = ModelInstance(
-                provider_model_bundle=self.model_config.provider_model_bundle,
-                model=self.model_config.model,
-            )
-
-            tools = []
-            for function in self.functions:
-                tool = PromptMessageTool(
-                    **function
-                )
-
-                tools.append(tool)
-
-            result = model_instance.invoke_llm(
-                prompt_messages=prompt_messages,
-                tools=tools,
-                stream=False,
-                model_parameters={
-                    'temperature': 0.2,
-                    'top_p': 0.3,
-                    'max_tokens': 1500
-                }
-            )
-        except Exception as e:
-            raise e
-
-        self.model_config.parameters['max_tokens'] = original_max_tokens
-
-        return True if result.message.tool_calls else False
-
-    def plan(
-            self,
-            intermediate_steps: List[Tuple[AgentAction, str]],
-            callbacks: Callbacks = None,
-            **kwargs: Any,
-    ) -> Union[AgentAction, AgentFinish]:
-        """Given input, decided what to do.
-
-        Args:
-            intermediate_steps: Steps the LLM has taken to date, along with observations
-            **kwargs: User inputs.
-
-        Returns:
-            Action specifying what tool to use.
-        """
-        agent_scratchpad = _format_intermediate_steps(intermediate_steps)
-        selected_inputs = {
-            k: kwargs[k] for k in self.prompt.input_variables if k != "agent_scratchpad"
-        }
-        full_inputs = dict(**selected_inputs, agent_scratchpad=agent_scratchpad)
-        prompt = self.prompt.format_prompt(**full_inputs)
-        messages = prompt.to_messages()
-
-        prompt_messages = lc_messages_to_prompt_messages(messages)
-
-        # summarize messages if rest_tokens < 0
-        try:
-            prompt_messages = self.summarize_messages_if_needed(prompt_messages, functions=self.functions)
-        except ExceededLLMTokensLimitError as e:
-            return AgentFinish(return_values={"output": str(e)}, log=str(e))
-
-        model_instance = ModelInstance(
-            provider_model_bundle=self.model_config.provider_model_bundle,
-            model=self.model_config.model,
-        )
-
-        tools = []
-        for function in self.functions:
-            tool = PromptMessageTool(
-                **function
-            )
-
-            tools.append(tool)
-
-        result = model_instance.invoke_llm(
-            prompt_messages=prompt_messages,
-            tools=tools,
-            stream=False,
-            callbacks=[self.agent_llm_callback] if self.agent_llm_callback else [],
-            model_parameters={
-                'temperature': 0.2,
-                'top_p': 0.3,
-                'max_tokens': 1500
-            }
-        )
-
-        ai_message = AIMessage(
-            content=result.message.content or "",
-            additional_kwargs={
-                'function_call': {
-                    'id': result.message.tool_calls[0].id,
-                    **result.message.tool_calls[0].function.dict()
-                } if result.message.tool_calls else None
-            }
-        )
-        agent_decision = _parse_ai_message(ai_message)
-
-        if isinstance(agent_decision, AgentAction) and agent_decision.tool == 'dataset':
-            tool_inputs = agent_decision.tool_input
-            if isinstance(tool_inputs, dict) and 'query' in tool_inputs:
-                tool_inputs['query'] = kwargs['input']
-                agent_decision.tool_input = tool_inputs
-
-        return agent_decision
-
-    @classmethod
-    def get_system_message(cls):
-        return SystemMessage(content="You are a helpful AI assistant.\n"
-                                     "The current date or current time you know is wrong.\n"
-                                     "Respond directly if appropriate.")
-
-    def return_stopped_response(
-            self,
-            early_stopping_method: str,
-            intermediate_steps: List[Tuple[AgentAction, str]],
-            **kwargs: Any,
-    ) -> AgentFinish:
-        try:
-            return super().return_stopped_response(early_stopping_method, intermediate_steps, **kwargs)
-        except ValueError:
-            return AgentFinish({"output": "I'm sorry, I don't know how to respond to that."}, "")
-
-    def summarize_messages_if_needed(self, messages: List[PromptMessage], **kwargs) -> List[PromptMessage]:
-        # calculate rest tokens and summarize previous function observation messages if rest_tokens < 0
-        rest_tokens = self.get_message_rest_tokens(
-            self.model_config,
-            messages,
-            **kwargs
-        )
-
-        rest_tokens = rest_tokens - 20  # to deal with the inaccuracy of rest_tokens
-        if rest_tokens >= 0:
-            return messages
-
-        system_message = None
-        human_message = None
-        should_summary_messages = []
-        for message in messages:
-            if isinstance(message, SystemMessage):
-                system_message = message
-            elif isinstance(message, HumanMessage):
-                human_message = message
-            else:
-                should_summary_messages.append(message)
-
-        if len(should_summary_messages) > 2:
-            ai_message = should_summary_messages[-2]
-            function_message = should_summary_messages[-1]
-            should_summary_messages = should_summary_messages[self.moving_summary_index:-2]
-            self.moving_summary_index = len(should_summary_messages)
-        else:
-            error_msg = "Exceeded LLM tokens limit, stopped."
-            raise ExceededLLMTokensLimitError(error_msg)
-
-        new_messages = [system_message, human_message]
-
-        if self.moving_summary_index == 0:
-            should_summary_messages.insert(0, human_message)
-
-        self.moving_summary_buffer = self.predict_new_summary(
-            messages=should_summary_messages,
-            existing_summary=self.moving_summary_buffer
-        )
-
-        new_messages.append(AIMessage(content=self.moving_summary_buffer))
-        new_messages.append(ai_message)
-        new_messages.append(function_message)
-
-        return new_messages
-
-    def predict_new_summary(
-        self, messages: List[BaseMessage], existing_summary: str
-    ) -> str:
-        new_lines = get_buffer_string(
-            messages,
-            human_prefix="Human",
-            ai_prefix="AI",
-        )
-
-        chain = LLMChain(model_config=self.summary_model_config, prompt=SUMMARY_PROMPT)
-        return chain.predict(summary=existing_summary, new_lines=new_lines)
-
-    def get_num_tokens_from_messages(self, model_config: ModelConfigEntity, messages: List[BaseMessage], **kwargs) -> int:
-        """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package.
-
-        Official documentation: https://github.com/openai/openai-cookbook/blob/
-        main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb"""
-        if model_config.provider == 'azure_openai':
-            model = model_config.model
-            model = model.replace("gpt-35", "gpt-3.5")
-        else:
-            model = model_config.credentials.get("base_model_name")
-
-        tiktoken_ = _import_tiktoken()
-        try:
-            encoding = tiktoken_.encoding_for_model(model)
-        except KeyError:
-            model = "cl100k_base"
-            encoding = tiktoken_.get_encoding(model)
-
-        if model.startswith("gpt-3.5-turbo"):
-            # every message follows <im_start>{role/name}\n{content}<im_end>\n
-            tokens_per_message = 4
-            # if there's a name, the role is omitted
-            tokens_per_name = -1
-        elif model.startswith("gpt-4"):
-            tokens_per_message = 3
-            tokens_per_name = 1
-        else:
-            raise NotImplementedError(
-                f"get_num_tokens_from_messages() is not presently implemented "
-                f"for model {model}."
-                "See https://github.com/openai/openai-python/blob/main/chatml.md for "
-                "information on how messages are converted to tokens."
-            )
-        num_tokens = 0
-        for m in messages:
-            message = _convert_message_to_dict(m)
-            num_tokens += tokens_per_message
-            for key, value in message.items():
-                if key == "function_call":
-                    for f_key, f_value in value.items():
-                        num_tokens += len(encoding.encode(f_key))
-                        num_tokens += len(encoding.encode(f_value))
-                else:
-                    num_tokens += len(encoding.encode(value))
-
-                if key == "name":
-                    num_tokens += tokens_per_name
-        # every reply is primed with <im_start>assistant
-        num_tokens += 3
-
-        if kwargs.get('functions'):
-            for function in kwargs.get('functions'):
-                num_tokens += len(encoding.encode('name'))
-                num_tokens += len(encoding.encode(function.get("name")))
-                num_tokens += len(encoding.encode('description'))
-                num_tokens += len(encoding.encode(function.get("description")))
-                parameters = function.get("parameters")
-                num_tokens += len(encoding.encode('parameters'))
-                if 'title' in parameters:
-                    num_tokens += len(encoding.encode('title'))
-                    num_tokens += len(encoding.encode(parameters.get("title")))
-                num_tokens += len(encoding.encode('type'))
-                num_tokens += len(encoding.encode(parameters.get("type")))
-                if 'properties' in parameters:
-                    num_tokens += len(encoding.encode('properties'))
-                    for key, value in parameters.get('properties').items():
-                        num_tokens += len(encoding.encode(key))
-                        for field_key, field_value in value.items():
-                            num_tokens += len(encoding.encode(field_key))
-                            if field_key == 'enum':
-                                for enum_field in field_value:
-                                    num_tokens += 3
-                                    num_tokens += len(encoding.encode(enum_field))
-                            else:
-                                num_tokens += len(encoding.encode(field_key))
-                                num_tokens += len(encoding.encode(str(field_value)))
-                if 'required' in parameters:
-                    num_tokens += len(encoding.encode('required'))
-                    for required_field in parameters['required']:
-                        num_tokens += 3
-                        num_tokens += len(encoding.encode(required_field))
-
-        return num_tokens

api/core/agent/agent/structured_chat.py

@@ -1,297 +0,0 @@
-import re
-from typing import Any, List, Optional, Sequence, Tuple, Union, cast
-
-from core.agent.agent.agent_llm_callback import AgentLLMCallback
-from core.agent.agent.calc_token_mixin import CalcTokenMixin, ExceededLLMTokensLimitError
-from core.chain.llm_chain import LLMChain
-from core.entities.application_entities import ModelConfigEntity
-from core.entities.message_entities import lc_messages_to_prompt_messages
-from langchain import BasePromptTemplate, PromptTemplate
-from langchain.agents import Agent, AgentOutputParser, StructuredChatAgent
-from langchain.agents.structured_chat.base import HUMAN_MESSAGE_TEMPLATE
-from langchain.agents.structured_chat.prompt import PREFIX, SUFFIX
-from langchain.callbacks.base import BaseCallbackManager
-from langchain.callbacks.manager import Callbacks
-from langchain.memory.prompt import SUMMARY_PROMPT
-from langchain.prompts import ChatPromptTemplate, HumanMessagePromptTemplate, SystemMessagePromptTemplate
-from langchain.schema import (AgentAction, AgentFinish, AIMessage, BaseMessage, HumanMessage, OutputParserException,
-                              get_buffer_string)
-from langchain.tools import BaseTool
-
-FORMAT_INSTRUCTIONS = """Use a json blob to specify a tool by providing an action key (tool name) and an action_input key (tool input).
-The nouns in the format of "Thought", "Action", "Action Input", "Final Answer" must be expressed in English.
-Valid "action" values: "Final Answer" or {tool_names}
-
-Provide only ONE action per $JSON_BLOB, as shown:
-
-```
-{{{{
-  "action": $TOOL_NAME,
-  "action_input": $INPUT
-}}}}
-```
-
-Follow this format:
-
-Question: input question to answer
-Thought: consider previous and subsequent steps
-Action:
-```
-$JSON_BLOB
-```
-Observation: action result
-... (repeat Thought/Action/Observation N times)
-Thought: I know what to respond
-Action:
-```
-{{{{
-  "action": "Final Answer",
-  "action_input": "Final response to human"
-}}}}
-```"""
-
-
-class AutoSummarizingStructuredChatAgent(StructuredChatAgent, CalcTokenMixin):
-    moving_summary_buffer: str = ""
-    moving_summary_index: int = 0
-    summary_model_config: ModelConfigEntity = None
-
-    class Config:
-        """Configuration for this pydantic object."""
-
-        arbitrary_types_allowed = True
-
-    def should_use_agent(self, query: str):
-        """
-        return should use agent
-        Using the ReACT mode to determine whether an agent is needed is costly,
-        so it's better to just use an Agent for reasoning, which is cheaper.
-
-        :param query:
-        :return:
-        """
-        return True
-
-    def plan(
-        self,
-        intermediate_steps: List[Tuple[AgentAction, str]],
-        callbacks: Callbacks = None,
-        **kwargs: Any,
-    ) -> Union[AgentAction, AgentFinish]:
-        """Given input, decided what to do.
-
-        Args:
-            intermediate_steps: Steps the LLM has taken to date,
-                along with observatons
-            callbacks: Callbacks to run.
-            **kwargs: User inputs.
-
-        Returns:
-            Action specifying what tool to use.
-        """
-        full_inputs = self.get_full_inputs(intermediate_steps, **kwargs)
-        prompts, _ = self.llm_chain.prep_prompts(input_list=[self.llm_chain.prep_inputs(full_inputs)])
-
-        messages = []
-        if prompts:
-            messages = prompts[0].to_messages()
-
-        prompt_messages = lc_messages_to_prompt_messages(messages)
-
-        rest_tokens = self.get_message_rest_tokens(self.llm_chain.model_config, prompt_messages)
-        if rest_tokens < 0:
-            full_inputs = self.summarize_messages(intermediate_steps, **kwargs)
-
-        try:
-            full_output = self.llm_chain.predict(callbacks=callbacks, **full_inputs)
-        except Exception as e:
-            raise e
-
-        try:
-            agent_decision = self.output_parser.parse(full_output)
-            if isinstance(agent_decision, AgentAction) and agent_decision.tool == 'dataset':
-                tool_inputs = agent_decision.tool_input
-                if isinstance(tool_inputs, dict) and 'query' in tool_inputs:
-                    tool_inputs['query'] = kwargs['input']
-                    agent_decision.tool_input = tool_inputs
-            return agent_decision
-        except OutputParserException:
-            return AgentFinish({"output": "I'm sorry, the answer of model is invalid, "
-                                          "I don't know how to respond to that."}, "")
-
-    def summarize_messages(self, intermediate_steps: List[Tuple[AgentAction, str]], **kwargs):
-        if len(intermediate_steps) >= 2 and self.summary_model_config:
-            should_summary_intermediate_steps = intermediate_steps[self.moving_summary_index:-1]
-            should_summary_messages = [AIMessage(content=observation)
-                                       for _, observation in should_summary_intermediate_steps]
-            if self.moving_summary_index == 0:
-                should_summary_messages.insert(0, HumanMessage(content=kwargs.get("input")))
-
-            self.moving_summary_index = len(intermediate_steps)
-        else:
-            error_msg = "Exceeded LLM tokens limit, stopped."
-            raise ExceededLLMTokensLimitError(error_msg)
-
-        if self.moving_summary_buffer and 'chat_history' in kwargs:
-            kwargs["chat_history"].pop()
-
-        self.moving_summary_buffer = self.predict_new_summary(
-            messages=should_summary_messages,
-            existing_summary=self.moving_summary_buffer
-        )
-
-        if 'chat_history' in kwargs:
-            kwargs["chat_history"].append(AIMessage(content=self.moving_summary_buffer))
-
-        return self.get_full_inputs([intermediate_steps[-1]], **kwargs)
-
-    def predict_new_summary(
-        self, messages: List[BaseMessage], existing_summary: str
-    ) -> str:
-        new_lines = get_buffer_string(
-            messages,
-            human_prefix="Human",
-            ai_prefix="AI",
-        )
-
-        chain = LLMChain(model_config=self.summary_model_config, prompt=SUMMARY_PROMPT)
-        return chain.predict(summary=existing_summary, new_lines=new_lines)
-
-    @classmethod
-    def create_prompt(
-            cls,
-            tools: Sequence[BaseTool],
-            prefix: str = PREFIX,
-            suffix: str = SUFFIX,
-            human_message_template: str = HUMAN_MESSAGE_TEMPLATE,
-            format_instructions: str = FORMAT_INSTRUCTIONS,
-            input_variables: Optional[List[str]] = None,
-            memory_prompts: Optional[List[BasePromptTemplate]] = None,
-    ) -> BasePromptTemplate:
-        tool_strings = []
-        for tool in tools:
-            args_schema = re.sub("}", "}}}}", re.sub("{", "{{{{", str(tool.args)))
-            tool_strings.append(f"{tool.name}: {tool.description}, args: {args_schema}")
-        formatted_tools = "\n".join(tool_strings)
-        tool_names = ", ".join([('"' + tool.name + '"') for tool in tools])
-        format_instructions = format_instructions.format(tool_names=tool_names)
-        template = "\n\n".join([prefix, formatted_tools, format_instructions, suffix])
-        if input_variables is None:
-            input_variables = ["input", "agent_scratchpad"]
-        _memory_prompts = memory_prompts or []
-        messages = [
-            SystemMessagePromptTemplate.from_template(template),
-            *_memory_prompts,
-            HumanMessagePromptTemplate.from_template(human_message_template),
-        ]
-        return ChatPromptTemplate(input_variables=input_variables, messages=messages)
-
-    @classmethod
-    def create_completion_prompt(
-            cls,
-            tools: Sequence[BaseTool],
-            prefix: str = PREFIX,
-            format_instructions: str = FORMAT_INSTRUCTIONS,
-            input_variables: Optional[List[str]] = None,
-    ) -> PromptTemplate:
-        """Create prompt in the style of the zero shot agent.
-
-        Args:
-            tools: List of tools the agent will have access to, used to format the
-                prompt.
-            prefix: String to put before the list of tools.
-            input_variables: List of input variables the final prompt will expect.
-
-        Returns:
-            A PromptTemplate with the template assembled from the pieces here.
-        """
-        suffix = """Begin! Reminder to ALWAYS respond with a valid json blob of a single action. Use tools if necessary. Respond directly if appropriate. Format is Action:```$JSON_BLOB```then Observation:.
-Question: {input}
-Thought: {agent_scratchpad}
-"""
-
-        tool_strings = "\n".join([f"{tool.name}: {tool.description}" for tool in tools])
-        tool_names = ", ".join([tool.name for tool in tools])
-        format_instructions = format_instructions.format(tool_names=tool_names)
-        template = "\n\n".join([prefix, tool_strings, format_instructions, suffix])
-        if input_variables is None:
-            input_variables = ["input", "agent_scratchpad"]
-        return PromptTemplate(template=template, input_variables=input_variables)
-
-    def _construct_scratchpad(
-        self, intermediate_steps: List[Tuple[AgentAction, str]]
-    ) -> str:
-        agent_scratchpad = ""
-        for action, observation in intermediate_steps:
-            agent_scratchpad += action.log
-            agent_scratchpad += f"\n{self.observation_prefix}{observation}\n{self.llm_prefix}"
-
-        if not isinstance(agent_scratchpad, str):
-            raise ValueError("agent_scratchpad should be of type string.")
-        if agent_scratchpad:
-            llm_chain = cast(LLMChain, self.llm_chain)
-            if llm_chain.model_config.mode == "chat":
-                return (
-                    f"This was your previous work "
-                    f"(but I haven't seen any of it! I only see what "
-                    f"you return as final answer):\n{agent_scratchpad}"
-                )
-            else:
-                return agent_scratchpad
-        else:
-            return agent_scratchpad
-
-    @classmethod
-    def from_llm_and_tools(
-            cls,
-            model_config: ModelConfigEntity,
-            tools: Sequence[BaseTool],
-            callback_manager: Optional[BaseCallbackManager] = None,
-            output_parser: Optional[AgentOutputParser] = None,
-            prefix: str = PREFIX,
-            suffix: str = SUFFIX,
-            human_message_template: str = HUMAN_MESSAGE_TEMPLATE,
-            format_instructions: str = FORMAT_INSTRUCTIONS,
-            input_variables: Optional[List[str]] = None,
-            memory_prompts: Optional[List[BasePromptTemplate]] = None,
-            agent_llm_callback: Optional[AgentLLMCallback] = None,
-            **kwargs: Any,
-    ) -> Agent:
-        """Construct an agent from an LLM and tools."""
-        cls._validate_tools(tools)
-        if model_config.mode == "chat":
-            prompt = cls.create_prompt(
-                tools,
-                prefix=prefix,
-                suffix=suffix,
-                human_message_template=human_message_template,
-                format_instructions=format_instructions,
-                input_variables=input_variables,
-                memory_prompts=memory_prompts,
-            )
-        else:
-            prompt = cls.create_completion_prompt(
-                tools,
-                prefix=prefix,
-                format_instructions=format_instructions,
-                input_variables=input_variables,
-            )
-        llm_chain = LLMChain(
-            model_config=model_config,
-            prompt=prompt,
-            callback_manager=callback_manager,
-            agent_llm_callback=agent_llm_callback,
-            parameters={
-                'temperature': 0.2,
-                'top_p': 0.3,
-                'max_tokens': 1500
-            }
-        )
-        tool_names = [tool.name for tool in tools]
-        _output_parser = output_parser
-        return cls(
-            llm_chain=llm_chain,
-            allowed_tools=tool_names,
-            output_parser=_output_parser,
-            **kwargs,
-        )