version to 0.6.3 (#3519)

Co-authored-by: miendinh <miendinh@users.noreply.github.com>

.devcontainer/Dockerfile

@@ -0,0 +1,5 @@
+FROM mcr.microsoft.com/devcontainers/python:3.10
+
+# [Optional] Uncomment this section to install additional OS packages.
+# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
+#     && apt-get -y install --no-install-recommends <your-package-list-here>

.devcontainer/README.md

@@ -0,0 +1,37 @@
+# Devlopment with devcontainer
+This project includes a devcontainer configuration that allows you to open the project in a container with a fully configured development environment.
+Both frontend and backend environments are initialized when the container is started.
+## GitHub Codespaces
+[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/langgenius/dify)
+
+you can simply click the button above to open this project in GitHub Codespaces.
+
+For more info, check out the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace).
+
+
+## VS Code Dev Containers
+[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/langgenius/dify)
+
+if you have VS Code installed, you can click the button above to open this project in VS Code Dev Containers.
+
+You can learn more in the [Dev Containers documentation](https://code.visualstudio.com/docs/devcontainers/containers).
+
+
+## Pros of Devcontainer
+Unified Development Environment: By using devcontainers, you can ensure that all developers are developing in the same environment, reducing the occurrence of "it works on my machine" type of issues.
+
+Quick Start: New developers can set up their development environment in a few simple steps, without spending a lot of time on environment configuration.
+
+Isolation: Devcontainers isolate your project from your host operating system, reducing the chance of OS updates or other application installations impacting the development environment.
+
+## Cons of Devcontainer
+Learning Curve: For developers unfamiliar with Docker and VS Code, using devcontainers may be somewhat complex.
+
+Performance Impact: While usually minimal, programs running inside a devcontainer may be slightly slower than those running directly on the host.
+
+## Troubleshooting
+if you see such error message when you open this project in codespaces:
+![Alt text](troubleshooting.png)
+
+a simple workaround is change `/signin` endpoint into another one, then login with github account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
+The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)

.devcontainer/devcontainer.json

@@ -0,0 +1,52 @@
+// For format details, see https://aka.ms/devcontainer.json. For config options, see the
+// README at: https://github.com/devcontainers/templates/tree/main/src/anaconda
+{
+	"name": "Python 3.10",
+	"build": { 
+		"context": "..",
+		"dockerfile": "Dockerfile"
+	},
+	"features": {
+		"ghcr.io/devcontainers/features/node:1": {
+			"nodeGypDependencies": true,
+			"version": "lts"
+		},
+		"ghcr.io/devcontainers-contrib/features/npm-package:1": {
+			"package": "typescript",
+			"version": "latest"
+		},
+		"ghcr.io/devcontainers/features/docker-in-docker:2": {
+			"moby": true,
+			"azureDnsAutoDetection": true,
+			"installDockerBuildx": true,
+			"version": "latest",
+			"dockerDashComposeVersion": "v2"
+		}
+	},
+	"customizations": {
+		"vscode": {
+			"extensions": [
+				"ms-python.pylint",
+				"GitHub.copilot",
+				"ms-python.python"
+			]
+		}
+	},
+	"postStartCommand": "cd api && pip install -r requirements.txt",
+	"postCreateCommand": "cd web && npm install"
+
+	// Features to add to the dev container. More info: https://containers.dev/features.
+	// "features": {},
+
+	// Use 'forwardPorts' to make a list of ports inside the container available locally.
+	// "forwardPorts": [],
+
+	// Use 'postCreateCommand' to run commands after the container is created.
+	// "postCreateCommand": "python --version",
+
+	// Configure tool-specific properties.
+	// "customizations": {},
+
+	// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
+	// "remoteUser": "root"
+}

.devcontainer/noop.txt

@@ -0,0 +1,3 @@
+This file copied into the container along with environment.yml* from the parent
+folder. This file is included to prevents the Dockerfile COPY instruction from 
+failing if no environment.yml is found.

.github/CODE_OF_CONDUCT.md

@@ -0,0 +1,43 @@
+# Dify Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, caste, color, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Language Policy
+
+To facilitate clear and effective communication, all discussions, comments, documentation, and pull requests in this project should be conducted in English. This ensures that all contributors can participate and collaborate effectively.
+
+

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -0,0 +1,60 @@
+name: "🕷️ Bug report"
+description: Report errors or unexpected behavior
+labels:
+  - bug
+body:
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: This is only for bug report, if you would like to ask a quesion, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
+          required: true
+        - 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 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:
+      label: Dify version
+      placeholder: 0.3.21
+      description: See about section in Dify console
+    validations:
+      required: true
+
+  - type: dropdown
+    attributes:
+      label: Cloud or Self Hosted
+      description: How / Where was Dify installed from?
+      multiple: true
+      options:
+        - Cloud
+        - Self Hosted (Docker)
+        - Self Hosted (Source)
+    validations:
+      required: true
+
+  - type: textarea
+    attributes:
+      label: Steps to reproduce
+      description: We highly suggest including screenshots and a bug report log.
+      placeholder: Having detailed steps helps us reproduce the bug.
+    validations:
+      required: true
+
+  - type: textarea
+    attributes:
+      label: ✔️ Expected Behavior
+      placeholder: What were you expecting?
+    validations:
+      required: false
+
+  - type: textarea
+    attributes:
+      label: ❌ Actual Behavior
+      placeholder: What happened instead?
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,5 @@
+blank_issues_enabled: false
+contact_links:
+  - name: "\U0001F4E7 Discussions"
+    url: https://github.com/langgenius/dify/discussions/categories/general
+    about: General discussions and request help from the community

.github/ISSUE_TEMPLATE/document_issue.yml

@@ -0,0 +1,22 @@
+name: "📚 Documentation Issue"
+description: Report issues in our documentation
+labels:
+  - ducumentation
+body:
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      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 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:
+      label: Provide a description of requested docs changes
+      placeholder: Briefly describe which document needs to be corrected and why.
+    validations:
+      required: true

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -0,0 +1,50 @@
+name: "⭐ Feature or enhancement request"
+description: Propose something new.
+labels:
+  - enhancement
+body:
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      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 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:
+      label: 1. Is this request related to a challenge you're experiencing?
+      placeholder: Please describe the specific scenario or problem you're facing as clearly as possible. For instance "I was trying to use [feature] for [specific task], and [what happened]... It was frustrating because...."
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 2. Describe the feature you'd like to see
+      placeholder: Think about what you want to achieve and how this feature will help you. Sketches, flow diagrams, or any visual representation will be a major plus.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 3. How will this feature improve your workflow or experience?
+      placeholder: Tell us how this change will benefit your work. This helps us prioritize based on user impact.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 4. Additional context or comments
+      placeholder: (Any other information, comments, documentations, links, or screenshots that would provide more clarity. This is the place to add anything else not covered above.)
+    validations:
+      required: false
+  - type: checkboxes
+    attributes:
+      label: 5. Can you help us with this feature?
+      description: Let us know! This is not a commitment, but a starting point for collaboration.
+      options:
+        - label: I am interested in contributing to this feature.
+          required: false
+  - type: markdown
+    attributes:
+      value: Please limit one request per issue.

.github/ISSUE_TEMPLATE/translation_issue.yml

@@ -0,0 +1,54 @@
+name: "🌐 Localization/Translation issue"
+description: Report incorrect translations. [please use English :）]
+labels:
+  - translation
+body:
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      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 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:
+      label: Dify version
+      placeholder: 0.3.21
+      description: Hover over system tray icon or look at Settings
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: Utility with translation issue
+      placeholder: Some area
+      description: Please input here the utility with the translation issue
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: 🌐 Language affected
+      placeholder: "German"
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ❌ Actual phrase(s)
+      placeholder: What is there? Please include a screenshot as that is extremely helpful.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ✔️ Expected phrase(s)
+      placeholder: What was expected?
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ℹ Why is the current translation wrong
+      placeholder: Why do you feel this is incorrect?
+    validations:
+      required: true

.github/ISSUE_TEMPLATE/🐛-bug-report.md

@@ -1,32 +0,0 @@
----
-name: "\U0001F41B Bug report"
-about: Create a report to help us improve
-title: ''
-labels: bug
-assignees: ''
-
----
-
-<!--
-  Please provide a clear and concise description of what the bug is. Include
-  screenshots if needed. Please test using the latest version of the relevant
-  Dify packages to make sure your issue has not already been fixed.
--->
-
-Dify version: Cloud | Self Host
-
-## Steps To Reproduce
-<!--
-  Your bug will get fixed much faster if we can run your code and it doesn't
-  have dependencies other than Dify. Issues without reproduction steps or
-  code examples may be immediately closed as not actionable.
--->
-
-1.
-2.
-
-
-## The current behavior
-
-
-## The expected behavior

.github/ISSUE_TEMPLATE/🚀-feature-request.md

@@ -1,20 +0,0 @@
----
-name: "\U0001F680 Feature request"
-about: Suggest an idea for this project
-title: ''
-labels: enhancement
-assignees: ''
-
----
-
-**Is your feature request related to a problem? Please describe.**
-A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
-
-**Describe the solution you'd like**
-A clear and concise description of what you want to happen.
-
-**Describe alternatives you've considered**
-A clear and concise description of any alternative solutions or features you've considered.
-
-**Additional context**
-Add any other context or screenshots about the feature request here.

.github/ISSUE_TEMPLATE/🤔-questions-and-help.md

@@ -1,10 +0,0 @@
----
-name: "\U0001F914 Questions and Help"
-about: Ask a usage or consultation question
-title: ''
-labels: ''
-assignees: ''
-
----
-
-

.github/linters/.hadolint.yaml

@@ -0,0 +1 @@
+failure-threshold: "error"

.github/linters/.isort.cfg

@@ -0,0 +1,2 @@
+[settings]
+line_length=120

.github/linters/.yaml-lint.yml

@@ -0,0 +1,11 @@
+---
+
+extends: default
+
+rules:
+  brackets:
+    max-spaces-inside: 1
+  comments-indentation: disable
+  document-start: disable
+  line-length: disable
+  truthy: disable

.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/api-tests.yml

@@ -0,0 +1,59 @@
+name: Run Pytest
+
+on:
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+
+    env:
+      OPENAI_API_KEY: sk-IamNotARealKeyJustForMockTestKawaiiiiiiiiii
+      AZURE_OPENAI_API_BASE: https://difyai-openai.openai.azure.com
+      AZURE_OPENAI_API_KEY: xxxxb1707exxxxxxxxxxaaxxxxxf94
+      ANTHROPIC_API_KEY: sk-ant-api11-IamNotARealKeyJustForMockTestKawaiiiiiiiiii-NotBaka-ASkksz
+      CHATGLM_API_BASE: http://a.abc.com:11451
+      XINFERENCE_SERVER_URL: http://a.abc.com:11451
+      XINFERENCE_GENERATION_MODEL_UID: generate
+      XINFERENCE_CHAT_MODEL_UID: chat
+      XINFERENCE_EMBEDDINGS_MODEL_UID: embedding
+      XINFERENCE_RERANK_MODEL_UID: rerank
+      GOOGLE_API_KEY: abcdefghijklmnopqrstuvwxyz
+      HUGGINGFACE_API_KEY: hf-awuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwu
+      HUGGINGFACE_TEXT_GEN_ENDPOINT_URL: a
+      HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL: b
+      HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL: c
+      MOCK_SWITCH: true
+      CODE_MAX_STRING_LENGTH: 80000
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Install APT packages
+        uses: awalsh128/cache-apt-pkgs-action@v1
+        with:
+          packages: ffmpeg
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+          cache: 'pip'
+          cache-dependency-path: |
+            ./api/requirements.txt
+            ./api/requirements-dev.txt
+
+      - name: Install dependencies
+        run: pip install -r ./api/requirements.txt -r ./api/requirements-dev.txt
+
+      - name: Run ModelRuntime
+        run: pytest api/tests/integration_tests/model_runtime/anthropic api/tests/integration_tests/model_runtime/azure_openai api/tests/integration_tests/model_runtime/openai api/tests/integration_tests/model_runtime/chatglm api/tests/integration_tests/model_runtime/google api/tests/integration_tests/model_runtime/xinference api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py
+
+      - name: Run Tool
+        run: pytest api/tests/integration_tests/tools/test_all_provider.py
+
+      - name: Run Workflow
+        run: pytest api/tests/integration_tests/workflow

.github/workflows/build-api-image.sh

@@ -1,61 +0,0 @@
-#!/usr/bin/env bash
-
-set -eo pipefail
-
-SHA=$(git rev-parse HEAD)
-REPO_NAME=langgenius/dify
-API_REPO_NAME="${REPO_NAME}-api"
-
-if [[ "${GITHUB_EVENT_NAME}" == "pull_request" ]]; then
-  REFSPEC=$(echo "${GITHUB_HEAD_REF}" | sed 's/[^a-zA-Z0-9]/-/g' | head -c 40)
-  PR_NUM=$(echo "${GITHUB_REF}" | sed 's:refs/pull/::' | sed 's:/merge::')
-  LATEST_TAG="pr-${PR_NUM}"
-  CACHE_FROM_TAG="latest"
-elif [[ "${GITHUB_EVENT_NAME}" == "release" ]]; then
-  REFSPEC=$(echo "${GITHUB_REF}" | sed 's:refs/tags/::' | head -c 40)
-  LATEST_TAG="${REFSPEC}"
-  CACHE_FROM_TAG="latest"
-else
-  REFSPEC=$(echo "${GITHUB_REF}" | sed 's:refs/heads/::' | sed 's/[^a-zA-Z0-9]/-/g' | head -c 40)
-  LATEST_TAG="${REFSPEC}"
-  CACHE_FROM_TAG="${REFSPEC}"
-fi
-
-if [[ "${REFSPEC}" == "main" ]]; then
-  LATEST_TAG="latest"
-  CACHE_FROM_TAG="latest"
-fi
-
-echo "Pulling cache image ${API_REPO_NAME}:${CACHE_FROM_TAG}"
-if docker pull "${API_REPO_NAME}:${CACHE_FROM_TAG}"; then
-  API_CACHE_FROM_SCRIPT="--cache-from ${API_REPO_NAME}:${CACHE_FROM_TAG}"
-else
-  echo "WARNING: Failed to pull ${API_REPO_NAME}:${CACHE_FROM_TAG}, disable build image cache."
-  API_CACHE_FROM_SCRIPT=""
-fi
-
-
-cat<<EOF
-  Rolling with tags:
-  - ${API_REPO_NAME}:${SHA}
-  - ${API_REPO_NAME}:${REFSPEC}
-  - ${API_REPO_NAME}:${LATEST_TAG}
-EOF
-
-#
-# Build image
-#
-cd api
-docker build \
-  ${API_CACHE_FROM_SCRIPT} \
-  --build-arg COMMIT_SHA=${SHA} \
-  -t "${API_REPO_NAME}:${SHA}" \
-  -t "${API_REPO_NAME}:${REFSPEC}" \
-  -t "${API_REPO_NAME}:${LATEST_TAG}" \
-  --label "sha=${SHA}" \
-  --label "built_at=$(date)" \
-  --label "build_actor=${GITHUB_ACTOR}" \
-  .
-
-# push
-docker push --all-tags "${API_REPO_NAME}"

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

@@ -1,41 +0,0 @@
-name: Build and Push API Image
-
-on:
-  push:
-    branches:
-      - 'main'
-      - 'deploy/dev'
-
-jobs:
-  build-and-push:
-    runs-on: ubuntu-latest
-    if: github.event.pull_request.draft == false
-    steps:
-    - name: "Checkout ${{ github.ref }} ( ${{ github.sha }} )"
-      uses: actions/checkout@v2
-      with:
-        persist-credentials: false
-
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-    - name: Build and push Docker image
-      shell: bash
-      env:
-        DOCKERHUB_USER: ${{ secrets.DOCKERHUB_USER }}
-        DOCKERHUB_TOKEN: ${{ secrets.DOCKERHUB_TOKEN }}
-      run: |
-        /bin/bash .github/workflows/build-api-image.sh
-
-    - 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-push.yml

@@ -0,0 +1,64 @@
+name: Build and Push API & Web
+
+on:
+  push:
+    branches:
+      - "main"
+      - "deploy/dev"
+  release:
+    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
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ env.DOCKERHUB_USER }}
+          password: ${{ env.DOCKERHUB_TOKEN }}
+
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env[matrix.image_name_env] }}
+          tags: |
+            type=raw,value=latest,enable=${{ 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}}:${{ 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'] }}
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max

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

@@ -1,60 +0,0 @@
-#!/usr/bin/env bash
-
-set -eo pipefail
-
-SHA=$(git rev-parse HEAD)
-REPO_NAME=langgenius/dify
-WEB_REPO_NAME="${REPO_NAME}-web"
-
-if [[ "${GITHUB_EVENT_NAME}" == "pull_request" ]]; then
-  REFSPEC=$(echo "${GITHUB_HEAD_REF}" | sed 's/[^a-zA-Z0-9]/-/g' | head -c 40)
-  PR_NUM=$(echo "${GITHUB_REF}" | sed 's:refs/pull/::' | sed 's:/merge::')
-  LATEST_TAG="pr-${PR_NUM}"
-  CACHE_FROM_TAG="latest"
-elif [[ "${GITHUB_EVENT_NAME}" == "release" ]]; then
-  REFSPEC=$(echo "${GITHUB_REF}" | sed 's:refs/tags/::' | head -c 40)
-  LATEST_TAG="${REFSPEC}"
-  CACHE_FROM_TAG="latest"
-else
-  REFSPEC=$(echo "${GITHUB_REF}" | sed 's:refs/heads/::' | sed 's/[^a-zA-Z0-9]/-/g' | head -c 40)
-  LATEST_TAG="${REFSPEC}"
-  CACHE_FROM_TAG="${REFSPEC}"
-fi
-
-if [[ "${REFSPEC}" == "main" ]]; then
-  LATEST_TAG="latest"
-  CACHE_FROM_TAG="latest"
-fi
-
-echo "Pulling cache image ${WEB_REPO_NAME}:${CACHE_FROM_TAG}"
-if docker pull "${WEB_REPO_NAME}:${CACHE_FROM_TAG}"; then
-  WEB_CACHE_FROM_SCRIPT="--cache-from ${WEB_REPO_NAME}:${CACHE_FROM_TAG}"
-else
-  echo "WARNING: Failed to pull ${WEB_REPO_NAME}:${CACHE_FROM_TAG}, disable build image cache."
-  WEB_CACHE_FROM_SCRIPT=""
-fi
-
-
-cat<<EOF
-  Rolling with tags:
-  - ${WEB_REPO_NAME}:${SHA}
-  - ${WEB_REPO_NAME}:${REFSPEC}
-  - ${WEB_REPO_NAME}:${LATEST_TAG}
-EOF
-
-#
-# Build image
-#
-cd web
-docker build \
-  ${WEB_CACHE_FROM_SCRIPT} \
-  --build-arg COMMIT_SHA=${SHA} \
-  -t "${WEB_REPO_NAME}:${SHA}" \
-  -t "${WEB_REPO_NAME}:${REFSPEC}" \
-  -t "${WEB_REPO_NAME}:${LATEST_TAG}" \
-  --label "sha=${SHA}" \
-  --label "built_at=$(date)" \
-  --label "build_actor=${GITHUB_ACTOR}" \
-  .
-
-docker push --all-tags "${WEB_REPO_NAME}"

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

@@ -1,41 +0,0 @@
-name: Build and Push WEB Image
-
-on:
-  push:
-    branches:
-      - 'main'
-      - 'deploy/dev'
-
-jobs:
-  build-and-push:
-    runs-on: ubuntu-latest
-    if: github.event.pull_request.draft == false
-    steps:
-    - name: "Checkout ${{ github.ref }} ( ${{ github.sha }} )"
-      uses: actions/checkout@v2
-      with:
-        persist-credentials: false
-
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-    - name: Build and push Docker image
-      shell: bash
-      env:
-        DOCKERHUB_USER: ${{ secrets.DOCKERHUB_USER }}
-        DOCKERHUB_TOKEN: ${{ secrets.DOCKERHUB_TOKEN }}
-      run: |
-        /bin/bash .github/workflows/build-web-image.sh
-
-    - 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/check_no_chinese_comments.py

@@ -1,35 +0,0 @@
-import os
-import re
-from zhon.hanzi import punctuation
-
-def has_chinese_characters(text):
-    for char in text:
-        if '\u4e00' <= char <= '\u9fff' or char in punctuation:
-            return True
-    return False
-
-def check_file_for_chinese_comments(file_path):
-    with open(file_path, 'r', encoding='utf-8') as file:
-        for line_number, line in enumerate(file, start=1):
-            if has_chinese_characters(line):
-                print(f"Found Chinese characters in {file_path} on line {line_number}:")
-                print(line.strip())
-                return True
-    return False
-
-def main():
-    has_chinese = False
-    excluded_files = ["model_template.py", 'stopwords.py', 'commands.py', 'indexing_runner.py']
-
-    for root, _, files in os.walk("."):
-        for file in files:
-            if file.endswith(".py") and file not in excluded_files:
-                file_path = os.path.join(root, file)
-                if check_file_for_chinese_comments(file_path):
-                    has_chinese = True
-
-    if has_chinese:
-        raise Exception("Found Chinese characters in Python files. Please remove them.")
-
-if __name__ == "__main__":
-    main()

.github/workflows/check_no_chinese_comments.yml

@@ -1,31 +0,0 @@
-name: Check for Chinese comments
-
-on:
-  push:
-    branches:
-      - 'main'
-  pull_request:
-    branches:
-      - main
-
-jobs:
-  check-chinese-comments:
-    runs-on: ubuntu-latest
-
-    steps:
-    - name: Check out repository
-      uses: actions/checkout@v2
-
-    - name: Set up Python
-      uses: actions/setup-python@v2
-      with:
-        python-version: 3.9
-
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install zhon
-
-    - name: Run script to check for Chinese comments
-      run: |
-        python .github/workflows/check_no_chinese_comments.py

.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/stale.yml

@@ -0,0 +1,30 @@
+# This workflow warns and then closes issues and PRs that have had no activity for a specified amount of time.
+#
+# You can adjust the behavior by modifying this file.
+# For more information, see:
+# https://github.com/actions/stale
+name: Mark stale issues and pull requests
+
+on:
+  schedule:
+    - cron: '0 3 * * *'
+
+jobs:
+  stale:
+
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      pull-requests: write
+
+    steps:
+      - uses: actions/stale@v5
+        with:
+          days-before-issue-stale: 15
+          days-before-issue-close: 3
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
+          stale-issue-message: "Close due to it's no longer active, if you have any questions, you can reopen it."
+          stale-pr-message: "Close due to it's no longer active, if you have any questions, you can reopen it."
+          stale-issue-label: 'no-issue-activity'
+          stale-pr-label: 'no-pr-activity'
+          any-of-labels: 'duplicate,question,invalid,wontfix,no-issue-activity,no-pr-activity,enhancement,cant-reproduce,help-wanted'

.github/workflows/style.yml

@@ -0,0 +1,76 @@
+name: Style check
+
+on:
+  pull_request:
+    branches:
+      - main
+
+concurrency:
+  group: dep-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  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:
+          node-version: 20
+          cache: yarn
+          cache-dependency-path: ./web/package.json
+
+      - name: Web dependencies
+        run: |
+          cd ./web
+          yarn install --frozen-lockfile
+
+      - name: Web style check
+        run: |
+          cd ./web
+          yarn run lint
+
+      - name: Super-linter
+        uses: super-linter/super-linter/slim@v6
+        env:
+          BASH_SEVERITY: warning
+          DEFAULT_BRANCH: main
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          IGNORE_GENERATED_FILES: true
+          IGNORE_GITIGNORED_FILES: true
+          VALIDATE_BASH: true
+          VALIDATE_BASH_EXEC: true
+          VALIDATE_GITHUB_ACTIONS: true
+          VALIDATE_DOCKERFILE_HADOLINT: true
+          VALIDATE_YAML: 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

@@ -109,6 +109,7 @@ venv/
 ENV/
 env.bak/
 venv.bak/
+.conda/
 
 # Spyder project settings
 .spyderproject
@@ -130,7 +131,7 @@ dmypy.json
 .idea/'
 
 .DS_Store
-.vscode
+web/.vscode/settings.json
 
 # Intellij IDEA Files
 .idea/
@@ -143,7 +144,15 @@ docker/volumes/app/storage/*
 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
+pyrightconfig.json

CONTRIBUTING.md

@@ -1,56 +1,158 @@
-# Contributing
+So you're looking to contribute to Dify - that's awesome, we can't wait to see what you do. As a startup with limited headcount and funding, we have grand ambitions to design the most intuitive workflow for building and managing LLM applications. Any help from the community counts, truly.
 
-Thanks for your interest in [Dify](https://dify.ai) and for wanting to contribute! Before you begin, read the
-[code of conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md) and check out the
-[existing issues](https://github.com/langgenius/langgenius-gateway/issues).
-This document describes how to set up your development environment to build and test [Dify](https://dify.ai).
+We need to be nimble and ship fast given where we are, but we also want to make sure that contributors like you get as smooth an experience at contributing as possible. We've assembled this contribution guide for that purpose, aiming at getting you familiarized with the codebase & how we work with contributors, so you could quickly jump to the fun part. 
 
-### Install dependencies
+This guide, like Dify itself, is a constant work in progress. We highly appreciate your understanding if at times it lags behind the actual project, and welcome any feedback for us to improve.
 
-You need to install and configure the following dependencies on your machine to build [Dify](https://dify.ai):
+In terms of licensing, please take a minute to read our short [License and Contributor Agreement](./license). The community also adheres to the [code of conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
+
+## Before you jump in
+
+[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:
+
+### Feature requests:
+
+* If you're opening a new feature request, we'd like you to explain what the proposed feature achieves, and include as much context as possible. [@perzeusss](https://github.com/perzeuss) has made a solid [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) that helps you draft out your needs. Feel free to give it a try.
+
+* If you want to pick one up from the existing issues, simply drop a comment below it saying so.
+
+  
+
+  A team member working in the related direction will be looped in. If all looks good, they will give the go-ahead for you to start coding. We ask that you hold off working on the feature until then, so none of your work goes to waste should we propose changes.
+
+  Depending on whichever area the proposed feature falls under, you might talk to different team members. Here's rundown of the areas each our team members are working on at the moment:
+
+  | Member                                                       | Scope                                                |
+  | ------------------------------------------------------------ | ---------------------------------------------------- |
+  | [@yeuoly](https://github.com/Yeuoly)                         | Architecting Agents                                  |
+  | [@jyong](https://github.com/JohnJyong)                       | RAG pipeline design                                  |
+  | [@GarfieldDai](https://github.com/GarfieldDai)               | Building workflow orchestrations                     |
+  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Making our frontend a breeze to use                  |
+  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Developer experience, points of contact for anything |
+  | [@takatost](https://github.com/takatost)                     | Overall product direction and architecture           |
+
+  How we prioritize:
+
+  | Feature Type                                                 | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | High-Priority Features as being labeled by a team member     | High Priority   |
+  | Popular feature requests from our [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Medium Priority |
+  | Non-core features and minor enhancements                     | Low Priority    |
+  | Valuable but not immediate                                   | Future-Feature  |
+
+### Anything else (e.g. bug report, performance optimization, typo correction):
+
+* Start coding right away.
+
+  How we prioritize:
+
+  | Issue Type                                                   | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | Bugs in core functions (cannot login, applications not working, security loopholes) | Critical        |
+  | Non-critical bugs, performance boosts                        | Medium Priority |
+  | Minor fixes (typos, confusing but working UI)                | Low Priority    |
+
+
+## Installing
+
+Here are the steps to set up Dify for development:
+
+### 1. Fork this repository
+
+### 2. Clone the repo
+
+ Clone the forked repository from your terminal:
+
+```
+git clone git@github.com:<github_username>/dify.git
+```
+
+### 3. Verify dependencies
+
+Dify requires the following dependencies to build, make sure they're installed on your system:
 
-- [Git](http://git-scm.com/)
 - [Docker](https://www.docker.com/)
 - [Docker Compose](https://docs.docker.com/compose/install/)
 - [Node.js v18.x (LTS)](http://nodejs.org)
 - [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
 - [Python](https://www.python.org/) version 3.10.x
 
-## Local development
+### 4. Installations
 
-To set up a working development environment, just fork the project git repository and install the backend and frontend dependencies using the proper package manager and create run the docker-compose stack.
+Dify is composed of a backend and a frontend. Navigate to the backend directory by `cd api/`, then follow the [Backend README](api/README.md) to install it. In a separate terminal, navigate to the frontend directory by `cd web/`, then follow the [Frontend README](web/README.md) to install.
 
-### Fork the repository
+Check the [installation FAQ](https://docs.dify.ai/getting-started/faq/install-faq) for a list of common issues and steps to troubleshoot.
 
-you need to fork the [repository](https://github.com/langgenius/dify).
+### 5. Visit dify in your browser
 
-### Clone the repo
+To validate your set up, head over to [http://localhost:3000](http://localhost:3000) (the default, or your self-configured URL and port) in your browser. You should now see Dify up and running. 
 
-Clone your GitHub forked repository:
+## Developing
+
+If you are adding a model provider, [this guide](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) is for you.
+
+If you are adding a tool provider to Agent or Workflow, [this guide](./api/core/tools/README.md) is for you.
+
+To help you quickly navigate where your contribution fits, a brief, annotated outline of Dify's backend & frontend is as follows:
+
+### Backend
+
+Dify’s backend is written in Python using [Flask](https://flask.palletsprojects.com/en/3.0.x/). It uses [SQLAlchemy](https://www.sqlalchemy.org/) for ORM and [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) for task queueing. Authorization logic goes via Flask-login. 
 
 ```
-git clone git@github.com:<github_username>/dify.git
+[api/]
+├── constants             // Constant settings used throughout code base.
+├── controllers           // API route definitions and request handling logic.           
+├── core                  // Core application orchestration, model integrations, and tools.
+├── docker                // Docker & containerization related configurations.
+├── events                // Event handling and processing
+├── extensions            // Extensions with 3rd party frameworks/platforms.
+├── fields                // field definitions for serialization/marshalling.
+├── libs                  // Reusable libraries and helpers.
+├── migrations            // Scripts for database migration.
+├── models                // Database models & schema definitions.
+├── services              // Specifies business logic.
+├── storage               // Private key storage.      
+├── tasks                 // Handling of async tasks and background jobs.
+└── tests
 ```
 
-### Install backend
+### Frontend
 
-To learn how to install the backend application, please refer to the [Backend README](api/README.md).
+The website is bootstrapped on [Next.js](https://nextjs.org/) boilerplate in Typescript and uses [Tailwind CSS](https://tailwindcss.com/) for styling. [React-i18next](https://react.i18next.com/) is used for internationalization.
 
-### Install frontend
+```
+[web/]
+├── app                   // layouts, pages, and components
+│   ├── (commonLayout)    // common layout used throughout the app
+│   ├── (shareLayout)     // layouts specifically shared across token-specific sessions 
+│   ├── activate          // activate page
+│   ├── components        // shared by pages and layouts
+│   ├── install           // install page
+│   ├── signin            // signin page
+│   └── styles            // globally shared styles
+├── assets                // Static assets
+├── bin                   // scripts ran at build step
+├── config                // adjustable settings and options 
+├── context               // shared contexts used by different portions of the app
+├── dictionaries          // Language-specific translate files 
+├── docker                // container configurations
+├── hooks                 // Reusable hooks
+├── i18n                  // Internationalization configuration
+├── models                // describes data models & shapes of API responses
+├── public                // meta assets like favicon
+├── service               // specifies shapes of API actions
+├── test                  
+├── types                 // descriptions of function params and return values
+└── utils                 // Shared utility functions
+```
 
-To learn how to install the frontend application, please refer to the [Frontend README](web/README.md).
+## Submitting your PR
 
-### Visit dify in your browser
+At last, time to open a pull request (PR) to our repo. For major features, we first merge them into the `deploy/dev` branch for testing, before they go into the `main` branch. If you run into issues like merge conflicts or don't know how to open a pull request, check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests). 
 
-Finally, you can now visit [http://localhost:3000](http://localhost:3000) to view the [Dify](https://dify.ai) in local environment.
+And that's it! Once your PR is merged, you will be featured as a contributor in our [README](https://github.com/langgenius/dify/blob/main/README.md).
 
+## Getting Help
 
-## Create a pull request
-
-After making your changes, open a pull request (PR). Once you submit your pull request, others from the Dify team/community will review it with you.
-
-Did you have an issue, like a merge conflict, or don't know how to open a pull request? Check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) on how to resolve merge conflicts and other issues. Once your PR has been merged, you will be proudly listed as a contributor in the [contributor chart](https://github.com/langgenius/langgenius-gateway/graphs/contributors).
-
-## Community channels
-
-Stuck somewhere? Have any questions? Join the [Discord Community Server](https://discord.gg/AhzKf7dNgk). We are here to 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/8Tpq4AcN9c) for a quick chat. 

CONTRIBUTING_CN.md

@@ -1,53 +1,155 @@
-# 贡献
+所以你想为 Dify 做贡献 - 这太棒了，我们迫不及待地想看到你的贡献。作为一家人员和资金有限的初创公司，我们有着雄心勃勃的目标，希望设计出最直观的工作流程来构建和管理 LLM 应用程序。社区的任何帮助都是宝贵的。
 
-感谢您对 [Dify](https://dify.ai) 的兴趣，并希望您能够做出贡献！在开始之前，请先阅读[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)并查看[现有问题](https://github.com/langgenius/dify/issues)。
-本文档介绍了如何设置开发环境以构建和测试 [Dify](https://dify.ai)。
+考虑到我们的现状，我们需要灵活快速地交付，但我们也希望确保像你这样的贡献者在贡献过程中获得尽可能顺畅的体验。我们为此编写了这份贡献指南，旨在让你熟悉代码库和我们与贡献者的合作方式，以便你能快速进入有趣的部分。
 
-### 安装依赖项
+这份指南，就像 Dify 本身一样，是一个不断改进的工作。如果有时它落后于实际项目，我们非常感谢你的理解，并欢迎任何反馈以供我们改进。
 
-您需要在计算机上安装和配置以下依赖项才能构建 [Dify](https://dify.ai)：
+在许可方面，请花一分钟阅读我们简短的[许可证和贡献者协议](./license)。社区还遵守[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
 
-- [Git](http://git-scm.com/)
-- [Docker](https://www.docker.com/)
-- [Docker Compose](https://docs.docker.com/compose/install/)
-- [Node.js v18.x (LTS)](http://nodejs.org)
-- [npm](https://www.npmjs.com/) 版本 8.x.x 或 [Yarn](https://yarnpkg.com/)
-- [Python](https://www.python.org/) 版本 3.10.x
+## 在开始之前
 
-## 本地开发
+[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:closed)现有问题，或[创建](https://github.com/langgenius/dify/issues/new/choose)一个新问题。我们将问题分为两类：
 
-要设置一个可工作的开发环境，只需 fork 项目的 git 存储库，并使用适当的软件包管理器安装后端和前端依赖项，然后创建并运行 docker-compose 堆栈。
+### 功能请求：
 
-### Fork存储库
+* 如果您要提出新的功能请求，请解释所提议的功能的目标，并尽可能提供详细的上下文。[@perzeusss](https://github.com/perzeuss)制作了一个很好的[功能请求助手](https://udify.app/chat/MK2kVSnw1gakVwMX)，可以帮助您起草需求。随时尝试一下。
 
-您需要 fork [存储库](https://github.com/langgenius/dify)。
+* 如果您想从现有问题中选择一个，请在其下方留下评论表示您的意愿。
 
-### 克隆存储库
+相关方向的团队成员将参与其中。如果一切顺利，他们将批准您开始编码。在此之前，请不要开始工作，以免我们提出更改导致您的工作付诸东流。
 
-克隆您在 GitHub 上 fork 的存储库：
+根据所提议的功能所属的领域不同，您可能需要与不同的团队成员交流。以下是我们团队成员目前正在从事的各个领域的概述：
+
+  | Member                                                       | Scope                                                |
+  | ------------------------------------------------------------ | ---------------------------------------------------- |
+  | [@yeuoly](https://github.com/Yeuoly)                         | Architecting Agents                                  |
+  | [@jyong](https://github.com/JohnJyong)                       | RAG pipeline design                                  |
+  | [@GarfieldDai](https://github.com/GarfieldDai)               | Building workflow orchestrations                     |
+  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Making our frontend a breeze to use                  |
+  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Developer experience, points of contact for anything |
+  | [@takatost](https://github.com/takatost)                     | Overall product direction and architecture           |
+
+  How we prioritize:
+
+  | Feature Type                                                 | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | High-Priority Features as being labeled by a team member     | High Priority   |
+  | Popular feature requests from our [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Medium Priority |
+  | Non-core features and minor enhancements                     | Low Priority    |
+  | Valuable but not immediate                                   | Future-Feature  |
+
+### 其他任何事情（例如bug报告、性能优化、拼写错误更正）：
+* 立即开始编码。
+
+  How we prioritize:
+
+  | Issue Type                                                   | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | Bugs in core functions (cannot login, applications not working, security loopholes) | Critical        |
+  | Non-critical bugs, performance boosts                        | Medium Priority |
+  | Minor fixes (typos, confusing but working UI)                | Low Priority    |
+
+
+## 安装
+
+以下是设置Dify进行开发的步骤：
+
+### 1. Fork该仓库
+
+### 2. 克隆仓库
+
+从终端克隆fork的仓库：
 
 ```
 git clone git@github.com:<github_username>/dify.git
 ```
 
-### 安装后端
+### 3. 验证依赖项
 
-要了解如何安装后端应用程序，请参阅[后端 README](api/README.md)。
+Dify 依赖以下工具和库：
 
-### 安装前端
+- [Docker](https://www.docker.com/)
+- [Docker Compose](https://docs.docker.com/compose/install/)
+- [Node.js v18.x (LTS)](http://nodejs.org)
+- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
+- [Python](https://www.python.org/) version 3.10.x
 
-要了解如何安装前端应用程序，请参阅[前端 README](web/README.md)。
+### 4. 安装
 
-### 在浏览器中访问 Dify
+Dify由后端和前端组成。通过`cd api/`导航到后端目录，然后按照[后端README](api/README.md)进行安装。在另一个终端中，通过`cd web/`导航到前端目录，然后按照[前端README](web/README.md)进行安装。
 
-最后，您现在可以访问 [http://localhost:3000](http://localhost:3000) 在本地环境中查看 [Dify](https://dify.ai)。
+查看[安装常见问题解答](https://docs.dify.ai/getting-started/faq/install-faq)以获取常见问题列表和故障排除步骤。
 
-## 创建拉取请求
+### 5. 在浏览器中访问Dify
 
-在进行更改后，打开一个拉取请求（PR）。提交拉取请求后，Dify 团队/社区的其他人将与您一起审查它。
+为了验证您的设置，打开浏览器并访问[http://localhost:3000](http://localhost:3000)（默认或您自定义的URL和端口）。现在您应该看到Dify正在运行。
 
-如果遇到问题，比如合并冲突或不知道如何打开拉取请求，请查看 GitHub 的[拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)，了解如何解决合并冲突和其他问题。一旦您的 PR 被合并，您将自豪地被列为[贡献者表](https://github.com/langgenius/dify/graphs/contributors)中的一员。
+## 开发
 
-## 社区渠道
+如果您要添加模型提供程序，请参考[此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
 
-遇到困难了吗？有任何问题吗? 加入 [Discord Community Server](https://discord.gg/AhzKf7dNgk)，我们将为您提供帮助。
+如果您要向Agent或Workflow添加工具提供程序，请参考[此指南](./api/core/tools/README.md)。
+
+为了帮助您快速了解您的贡献在哪个部分，以下是Dify后端和前端的简要注释大纲：
+
+### 后端
+
+Dify的后端使用Python编写，使用[Flask](https://flask.palletsprojects.com/en/3.0.x/)框架。它使用[SQLAlchemy](https://www.sqlalchemy.org/)作为ORM，使用[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)作为任务队列。授权逻辑通过Flask-login进行处理。
+
+```
+[api/]
+├── constants             // Constant settings used throughout code base.
+├── controllers           // API route definitions and request handling logic.           
+├── core                  // Core application orchestration, model integrations, and tools.
+├── docker                // Docker & containerization related configurations.
+├── events                // Event handling and processing
+├── extensions            // Extensions with 3rd party frameworks/platforms.
+├── fields                // field definitions for serialization/marshalling.
+├── libs                  // Reusable libraries and helpers.
+├── migrations            // Scripts for database migration.
+├── models                // Database models & schema definitions.
+├── services              // Specifies business logic.
+├── storage               // Private key storage.      
+├── tasks                 // Handling of async tasks and background jobs.
+└── tests
+```
+
+### 前端
+
+该网站使用基于Typescript的[Next.js](https://nextjs.org/)模板进行引导，并使用[Tailwind CSS](https://tailwindcss.com/)进行样式设计。[React-i18next](https://react.i18next.com/)用于国际化。
+
+```
+[web/]
+├── app                   // layouts, pages, and components
+│   ├── (commonLayout)    // common layout used throughout the app
+│   ├── (shareLayout)     // layouts specifically shared across token-specific sessions 
+│   ├── activate          // activate page
+│   ├── components        // shared by pages and layouts
+│   ├── install           // install page
+│   ├── signin            // signin page
+│   └── styles            // globally shared styles
+├── assets                // Static assets
+├── bin                   // scripts ran at build step
+├── config                // adjustable settings and options 
+├── context               // shared contexts used by different portions of the app
+├── dictionaries          // Language-specific translate files 
+├── docker                // container configurations
+├── hooks                 // Reusable hooks
+├── i18n                  // Internationalization configuration
+├── models                // describes data models & shapes of API responses
+├── public                // meta assets like favicon
+├── service               // specifies shapes of API actions
+├── test                  
+├── types                 // descriptions of function params and return values
+└── utils                 // Shared utility functions
+```
+
+## 提交你的 PR
+
+最后，是时候向我们的仓库提交一个拉取请求（PR）了。对于重要的功能，我们首先将它们合并到 `deploy/dev` 分支进行测试，然后再合并到 `main` 分支。如果你遇到合并冲突或者不知道如何提交拉取请求的问题，请查看 [GitHub 的拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)。
+
+就是这样！一旦你的 PR 被合并，你将成为我们 [README](https://github.com/langgenius/dify/blob/main/README.md) 中的贡献者。
+
+## 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/8Tpq4AcN9c) 进行快速交流。

CONTRIBUTING_JA.md

@@ -1,55 +0,0 @@
-# コントリビュート
-
-[Dify](https://dify.ai) に興味を持ち、貢献したいと思うようになったことに感謝します！始める前に、
-[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を読み、
-[既存の問題](https://github.com/langgenius/langgenius-gateway/issues)をチェックしてください。
-本ドキュメントは、[Dify](https://dify.ai) をビルドしてテストするための開発環境の構築方法を説明するものです。
-
-### 依存関係のインストール
-
-[Dify](https://dify.ai)をビルドするには、お使いのマシンに以下の依存関係をインストールし、設定する必要があります:
-
-- [Git](http://git-scm.com/)
-- [Docker](https://www.docker.com/)
-- [Docker Compose](https://docs.docker.com/compose/install/)
-- [Node.js v18.x (LTS)](http://nodejs.org)
-- [npm](https://www.npmjs.com/) バージョン 8.x.x もしくは [Yarn](https://yarnpkg.com/)
-- [Python](https://www.python.org/) バージョン 3.10.x
-
-## ローカル開発
-
-開発環境を構築するには、プロジェクトの git リポジトリをフォークし、適切なパッケージマネージャを使用してバックエンドとフロントエンドの依存関係をインストールし、docker-compose スタックを実行するように作成します。
-
-### リポジトリのフォーク
-
-[リポジトリ](https://github.com/langgenius/dify) をフォークする必要があります。
-
-### リポジトリのクローン
-
-GitHub でフォークしたリポジトリのクローンを作成する:
-
-```
-git clone git@github.com:<github_username>/dify.git
-```
-
-### バックエンドのインストール
-
-バックエンドアプリケーションのインストール方法については、[Backend README](api/README.md) を参照してください。
-
-### フロントエンドのインストール
-
-フロントエンドアプリケーションのインストール方法については、[Frontend README](web/README.md) を参照してください。
-
-### ブラウザで dify にアクセス
-
-[Dify](https://dify.ai) をローカル環境で見ることができるようになりました [http://localhost:3000](http://localhost:3000)。
-
-## プルリクエストの作成
-
-変更後、プルリクエスト (PR) をオープンしてください。プルリクエストを提出すると、Dify チーム/コミュニティの他の人があなたと一緒にそれをレビューします。
-
-マージコンフリクトなどの問題が発生したり、プルリクエストの開き方がわからなくなったりしませんでしたか？ [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) で、マージコンフリクトやその他の問題を解決する方法をチェックしてみてください。あなたの PR がマージされると、[コントリビュータチャート](https://github.com/langgenius/langgenius-gateway/graphs/contributors)にコントリビュータとして誇らしげに掲載されます。
-
-## コミュニティチャンネル
-
-お困りですか？何か質問がありますか？ [Discord Community サーバ](https://discord.gg/AhzKf7dNgk)に参加してください。私たちがお手伝いします！

LICENSE

@@ -1,25 +1,27 @@
-# Dify Open Source License
+# Open Source License
 
-The Dify project uses a combination of the Apache License 2.0, MIT License, and an additional agreement to protect against direct competition with Dify Cloud services.
+Dify is licensed under the Apache License 2.0, with the following additional conditions:
 
-As a contributor, you should agree that your contributed code:
-a. Might be subject to a more permissive open source license in the future.
-b. Can be used for commercial purposes, such as Dify's cloud business.
+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:
 
-The following components are open source under the MIT license, allowing you to build and develop applications based on them:
-- WebApp elements, e.g., web/app/components/share
-- Derived WebApp Template projects
+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.
 
-The remaining parts of the project are open source under the Apache License 2.0.
+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.
 
-With the Apache License 2.0, MIT License, and this supplementary agreement, anyone can freely use, modify, and distribute Dify, provided that:
+Please contact business@dify.ai by email to inquire about licensing matters.
 
-- If you use Dify solely as a backend service for other applications, no authorization is needed for commercial or closed source purposes.
-- If you wish to use Dify for commercial and closed source SaaS services similar to Dify Cloud, please contact us for authorization.
+2. As a contributor, you should agree that:
+
+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 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.
+
 
 ----------
 
@@ -34,13 +36,3 @@ distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
-
-----------
-The MIT License
-
-Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
-
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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

@@ -1,119 +1,246 @@
-![](./images/describe-en.png)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
 <p align="center">
-  <a href="./README.md">English</a> |
-  <a href="./README_CN.md">简体中文</a> |
-  <a href="./README_JA.md">日本語</a>
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
+  <a href="https://docs.dify.ai">Documentation</a> ·
+  <a href="https://cal.com/guchenhe/60-min-meeting">Enterprise inquiry</a>
 </p>
 
-[Website](https://dify.ai) • [Docs](https://docs.dify.ai) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on Twitter"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
 
-Vote for us on Product Hunt ↓  
-<a href="https://www.producthunt.com/posts/dify-ai"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?sanitize=true&post_id=dify-ai&theme=light" alt="Product Hunt Badge" width="250" height="54"></a>
+<p align="center">
+  <a href="./README.md"><img alt="Commits last month" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="Commits last month" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="Commits last month" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="Commits last month" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="Commits last month" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="Commits last month" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+</p>
 
-**Dify** is an easy-to-use LLMOps platform designed to empower more people to create sustainable, AI-native applications. With visual orchestration for various application types, Dify offers out-of-the-box, ready-to-use applications that can also serve as Backend-as-a-Service APIs. Unify your development process with one API for plugins and datasets integration, and streamline your operations using a single interface for prompt engineering, visual analytics, and continuous improvement.
+#
 
-Applications created with Dify include:
+<p align="center">
+  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+</p>
+Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
+</br> </br>
 
-Out-of-the-box web sites supporting form mode and chat conversation mode
-A single API encompassing plugin capabilities, context enhancement, and more, saving you backend coding effort
-Visual data analysis, log review, and annotation for applications
-Dify is compatible with Langchain, meaning we'll gradually support multiple LLMs, currently supported:
+**1. Workflow**: 
+  Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
 
-- GPT 3 (text-davinci-003)
-- GPT 3.5 Turbo(ChatGPT)
-- GPT-4
 
-## Use Cloud Services
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-Visit [Dify.ai](https://dify.ai)
 
-## Install the Community Edition
 
-### System Requirements
+**2. Comprehensive model support**: 
+  Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama2, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
 
-Before installing Dify, make sure your machine meets the following minimum system requirements:
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
-- CPU >= 1 Core
-- RAM >= 4GB
 
-### Quick Start
+**3. Prompt IDE**: 
+  Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app. 
+
+**4. RAG Pipeline**: 
+  Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
+
+**5. Agent capabilities**: 
+  You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DELL·E, Stable Diffusion and WolframAlpha.
+
+**6. LLMOps**: 
+  Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
+
+**7. Backend-as-a-Service**: 
+  All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
+
+
+## Feature comparison
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Feature</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Programming Approach</td>
+    <td align="center">API + App-oriented</td>
+    <td align="center">Python Code</td>
+    <td align="center">App-oriented</td>
+    <td align="center">API-oriented</td>
+  </tr>
+  <tr>
+    <td align="center">Supported LLMs</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">OpenAI-only</td>
+  </tr>
+  <tr>
+    <td align="center">RAG Engine</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agent</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Workflow</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Observability</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Enterprise Feature (SSO/Access control)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Local Deployment</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Using Dify
+
+- **Cloud </br>**
+We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
+
+- **Self-hosting Dify Community Edition</br>**
+Quickly get Dify running in your environment with this [starter guide](#quick-start).
+Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
+
+- **Dify for enterprise / organizations</br>**
+We provide additional enterprise-centric features. [Schedule a meeting with us](https://cal.com/guchenhe/30min) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
+  > For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
+
+
+## Staying ahead
+
+Star Dify on GitHub and be instantly notified of new releases.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+
+## Quick start
+> Before installing Dify, make sure your machine meets the following minimum system requirements:
+> 
+>- CPU >= 2 Core
+>- RAM >= 4GB
+
+</br>
 
 The easiest way to start the Dify server is to run our [docker-compose.yml](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
 
 ```bash
 cd docker
-docker-compose up -d
+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.
+After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
 
-### Configuration
+> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
 
-If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run 'docker-compose up -d' again.
+## Next steps
 
-## Roadmap
+If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run `docker-compose up -d` again. You can see the full list of environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 
-Features under development:
+If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) which allow Dify to be deployed on Kubernetes.
 
-- **Datasets**, supporting more datasets, e.g. syncing content from Notion or webpages
-We will support more datasets, including text, webpages, and even Notion content. Users can build AI applications based on their own data sources.
-- **Plugins**, introducing ChatGPT Plugin-standard plugins for applications, or using Dify-produced plugins
-We will release plugins complying with ChatGPT standard, or Dify's own plugins to enable more capabilities in applications. 
-- **Open-source models**, e.g. adopting Llama as a model provider or for further fine-tuning
-We will work with excellent open-source models like Llama, by providing them as model options in our platform, or using them for further fine-tuning.
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 
 
-## Q&A
-
-**Q: What can I do with Dify?**
-
-A: Dify is a simple yet powerful LLM development and operations tool. You can use it to build commercial-grade applications, personal assistants. If you want to develop your own applications, LangDifyGenius can save you backend work in integrating with OpenAI and offer visual operations capabilities, allowing you to continuously improve and train your GPT model.
-
-**Q: How do I use Dify to "train" my own model?**
-
-A: A valuable application consists of Prompt Engineering, context enhancement, and Fine-tuning. We've created a hybrid programming approach combining Prompts with programming languages (similar to a template engine), making it easy to accomplish long-text embedding or capturing subtitles from a user-input Youtube video - all of which will be submitted as context for LLMs to process. We place great emphasis on application operability, with data generated by users during App usage available for analysis, annotation, and continuous training. Without the right tools, these steps can be time-consuming.
-
-**Q: What do I need to prepare if I want to create my own application?**
-
-A: We assume you already have an OpenAI API Key; if not, please register for one. If you already have some content that can serve as training context, that's great!
-
-**Q: What interface languages are available?**
-
-A: English and Chinese are currently supported, and you can contribute language packs to us.
-
-## Star History
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## Contact Us
-
-If you have any questions, suggestions, or partnership inquiries, feel free to contact us through the following channels:
-
-- Submit an Issue or PR on our GitHub Repo
-- Join the discussion in our [Discord](https://discord.gg/FngNHpbcY7) Community
-- Send an email to hello@dify.ai
-
-We're eager to assist you and together create more fun and useful AI applications!
-
 ## Contributing
 
-To ensure proper review, all code contributions - including those from contributors with direct commit access - must be submitted via pull requests and approved by the core development team prior to being merged.
+For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
 
-We welcome all pull requests! If you'd like to help, check out the [Contribution Guide](CONTRIBUTING.md) for more information on how to get started.
 
-## Security
+> 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).
+
+**Contributors**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Community & contact
+
+* [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
+* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Email](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Best for: questions you have about using Dify.AI.
+* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
+* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
+
+Or, schedule a meeting directly with a team member:
+
+<table>
+  <tr>
+    <th>Point of Contact</th>
+    <th>Purpose</th>
+  </tr>
+  <tr>
+    <td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
+    <td>Business enquiries & product feedback</td>
+  </tr>
+  <tr>
+    <td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
+    <td>Contributions, issues & feature requests</td>
+  </tr>
+</table>
+
+## Star history
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## Security disclosure
 
 To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
 
-## Citation
-
-This software uses the following open-source software:
-
-- Chase, H. (2022). LangChain [Computer software]. https://github.com/hwchase17/langchain
-- Liu, J. (2022). LlamaIndex [Computer software]. doi: 10.5281/zenodo.1234.
-
-For more information, please refer to the official website or license text of the respective software.
-
 ## License
 
-This repository is available under the [Dify Open Source License](LICENSE).
+This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.

README_CN.md

@@ -1,33 +1,167 @@
-![](./images/describe-cn.jpg)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<div align="center">
+  <a href="https://cloud.dify.ai">Dify 云服务</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">自托管</a> ·
+  <a href="https://docs.dify.ai">文档</a> ·
+  <a href="https://cal.com/guchenhe/dify-demo">预约演示</a>
+</div>
+
 <p align="center">
-  <a href="./README.md">English</a> |
-  <a href="./README_CN.md">简体中文</a> |
-  <a href="./README_JA.md">日本語</a>
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on Twitter"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
 </p>
 
+<div align="center">
+  <a href="./README.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/英文-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/西班牙语-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/法语-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/克林贡语-d9d9d9"></a>
+</div>
 
-[官方网站](https://dify.ai) • [文档](https://docs.dify.ai/v/zh-hans) • [Twitter](https://twitter.com/dify_ai) •  [Discord](https://discord.gg/FngNHpbcY7)
 
-在 Product Hunt 上投我们一票吧 ↓  
-<a href="https://www.producthunt.com/posts/dify-ai"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?sanitize=true&post_id=dify-ai&theme=light" alt="Product Hunt Badge" width="250" height="54"></a>
+#
 
-**Dify** 是一个易用的 LLMOps 平台，旨在让更多人可以创建可持续运营的原生 AI 应用。Dify 提供多种类型应用的可视化编排，应用可开箱即用，也能以“后端即服务”的 API 提供服务。
+<div align="center">
+  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | 趋势转变" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+</div>
 
-通过 Dify 创建的应用包含了：
+Dify 是一个开源的LLM应用开发平台。其直观的界面结合了AI工作流程、RAG管道、代理功能、模型管理、可观察性功能等，让您可以快速从原型到生产。以下是其核心功能列表：
+</br> </br>
 
-- 开箱即用的的 Web 站点，支持表单模式和聊天对话模式
-- 一套 API 即可包含插件、上下文增强等能力，替你省下了后端代码的编写工作
-- 可视化的对应用进行数据分析，查阅日志或进行标注
+**1. 工作流**: 
+  在视觉画布上构建和测试功能强大的AI工作流程，利用以下所有功能以及更多功能。
 
-Dify 兼容 Langchain，这意味着我们将逐步支持多种 LLMs ，目前已支持：
 
-- GPT 3 (text-davinci-003)
-- GPT 3.5 Turbo(ChatGPT)
-- GPT-4
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-## 使用云服务
 
-访问 [Dify.ai](https://cloud.dify.ai)
+
+**2. 全面的模型支持**: 
+  与数百种专有/开源LLMs以及数十种推理提供商和自托管解决方案无缝集成，涵盖GPT、Mistral、Llama2以及任何与OpenAI API兼容的模型。完整的支持模型提供商列表可在[此处](https://docs.dify.ai/getting-started/readme/model-providers)找到。
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. Prompt IDE**: 
+  用于制作提示、比较模型性能以及向基于聊天的应用程序添加其他功能（如文本转语音）的直观界面。
+
+**4. RAG Pipeline**: 
+  广泛的RAG功能，涵盖从文档摄入到检索的所有内容，支持从PDF、PPT和其他常见文档格式中提取文本的开箱即用的支持。
+
+**5. Agent 智能体**: 
+  您可以基于LLM函数调用或ReAct定义代理，并为代理添加预构建或自定义工具。Dify为AI代理提供了50多种内置工具，如谷歌搜索、DELL·E、稳定扩散和WolframAlpha等。
+
+**6. LLMOps**: 
+  随时间监视和分析应用程序日志和性能。您可以根据生产数据和注释持续改进提示、数据集和模型。
+
+**7. 后端即服务**: 
+  所有Dify的功能都带有相应的API，因此您可以轻松地将Dify集成到自己的业务逻辑中。
+
+
+## 功能比较
+<table style="width: 100%;">
+  <tr>
+    <th align="center">功能</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI助理API</th>
+  </tr>
+  <tr>
+    <td align="center">编程方法</td>
+    <td align="center">API + 应用程序导向</td>
+    <td align="center">Python代码</td>
+    <td align="center">应用程序导向</td>
+    <td align="center">API导向</td>
+  </tr>
+  <tr>
+    <td align="center">支持的LLMs</td>
+    <td align="center">丰富多样</td>
+    <td align="center">丰富多样</td>
+    <td align="center">丰富多样</td>
+    <td align="center">仅限OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">RAG引擎</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">代理</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">工作流程</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">可观察性</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">企业功能（SSO/访问控制）</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">本地部署</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## 使用 Dify
+
+- **云 </br>**
+我们提供[ Dify 云服务](https://dify.ai)，任何人都可以零设置尝试。它提供了自部署版本的所有功能，并在沙盒计划中包含 200 次免费的 GPT-4 调用。
+
+- **自托管 Dify 社区版</br>**
+使用这个[入门指南](#quick-start)快速在您的环境中运行 Dify。
+使用我们的[文档](https://docs.dify.ai)进行进一步的参考和更深入的说明。
+
+- **面向企业/组织的 Dify</br>**
+我们提供额外的面向企业的功能。[与我们安排会议](https://cal.com/guchenhe/30min)或[给我们发送电子邮件](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)讨论企业需求。 </br>
+  > 对于使用 AWS 的初创公司和中小型企业，请查看 [AWS Marketplace 上的 Dify 高级版](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)，并使用一键部署到您自己的 AWS VPC。它是一个价格实惠的 AMI 产品，提供了使用自定义徽标和品牌创建应用程序的选项。
+
+## 保持领先
+
+在 GitHub 上给 Dify Star，并立即收到新版本的通知。
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
 
 ## 安装社区版
 
@@ -35,7 +169,7 @@ Dify 兼容 Langchain，这意味着我们将逐步支持多种 LLMs ，目前
 
 在安装 Dify 之前，请确保您的机器满足以下最低系统要求：
 
-- CPU >= 1 Core
+- CPU >= 2 Core
 - RAM >= 4GB
 
 ### 快速启动
@@ -44,75 +178,57 @@ Dify 兼容 Langchain，这意味着我们将逐步支持多种 LLMs ，目前
 
 ```bash
 cd docker
-docker-compose up -d
+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。
 
+#### 使用 Helm Chart 部署
+
+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
 
-需要自定义配置，请参考我们的 [docker-compose.yml](docker/docker-compose.yaml) 文件中的注释，并手动设置环境配置，修改完毕后，请再次执行 `docker-compose up -d`。
-
-## Roadmap
-
-我们正在开发中的功能：
-
-- **数据集**，支持更多的数据集，例如同步 Notion 或网页的内容
-我们将支持更多的数据集，包括文本、网页，甚至 Notion 内容。用户可以根据自己的数据源构建 AI 应用程序。
-- **插件**，推出符合 ChatGPT 标准的插件，或使用 Dify 产生的插件
-我们将发布符合 ChatGPT 标准的插件，或者 Dify 自己的插件，以在应用程序中启用更多功能。
-- **开源模型**，例如采用 Llama 作为模型提供者，或进行进一步的微调
-我们将与优秀的开源模型如 Llama 合作，通过在我们的平台中提供它们作为模型选项，或使用它们进行进一步的微调。
-
-## Q&A
-
-**Q: 我能用 Dify 做什么？**
-
-A: Dify 是一个简单且能力丰富的 LLM 开发和运营工具。你可以用它搭建商用级应用，个人助理。如果你想自己开发应用，Dify 也能为你省下接入 OpenAI 的后端工作，使用我们逐步提供的可视化运营能力，你可以持续的改进和训练你的 GPT 模型。
-
-**Q: 如何使用 Dify “训练”自己的模型？**
-
-A: 一个有价值的应用由 Prompt Engineering、上下文增强和 Fine-tune 三个环节组成。我们创造了一种 Prompt 结合编程语言的 Hybrid 编程方式（类似一个模版引擎），你可以轻松的完成长文本嵌入，或抓取用户输入的一个 Youtube 视频的字幕——这些都将作为上下文提交给 LLMs 进行计算。我们十分注重应用的可运营性，你的用户在使用 App 期间产生的数据，可进行分析、标记和持续训练。以上环节如果没有好的工具支持，可能会消耗你大量的时间。
-
-**Q: 如果要创建一个自己的应用，我需要准备什么？**
-
-A: 我们假定你已经有了 OpenAI API Key，如果没有请去注册一个。如果你已经有了一些内容可以作为训练上下文，就太好了。
-
-**Q: 提供哪些界面语言？**
-
-A: 现已支持英文与中文，你可以为我们贡献语言包。
+如果您需要自定义配置，请参考我们的 [docker-compose.yml](docker/docker-compose.yaml) 文件中的注释，并手动设置环境配置。更改后，请再次运行 `docker-compose up -d`。您可以在我们的[文档](https://docs.dify.ai/getting-started/install-self-hosted/environments)中查看所有环境变量的完整列表。
 
 ## Star History
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-## 联系我们
 
-如果您有任何问题、建议或合作意向，欢迎通过以下方式联系我们：
+## Contributing
 
-- 在我们的 [GitHub Repo](https://github.com/langgenius/dify) 上提交 Issue 或 PR
-- 在我们的 [Discord 社区](https://discord.gg/FngNHpbcY7) 上加入讨论
-- 发送邮件至 hello@dify.ai
+对于那些想要贡献代码的人，请参阅我们的[贡献指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
+同时，请考虑通过社交媒体、活动和会议来支持Dify的分享。
 
-## 贡献代码
+> 我们正在寻找贡献者来帮助将Dify翻译成除了中文和英文之外的其他语言。如果您有兴趣帮助，请参阅我们的[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)获取更多信息，并在我们的[Discord社区服务器](https://discord.gg/8Tpq4AcN9c)的`global-users`频道中留言。
 
-为了确保正确审查，所有代码贡献 - 包括来自具有直接提交更改权限的贡献者 - 都必须提交 PR 请求并在合并分支之前得到核心开发人员的批准。
+**Contributors**
 
-我们欢迎所有人提交 PR！如果您愿意提供帮助，可以在 [贡献指南](CONTRIBUTING_CN.md) 中了解有关如何为项目做出贡献的更多信息。
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
 
-## 安全
+## 社区与支持
+
+我们欢迎您为 Dify 做出贡献，以帮助改善 Dify。包括：提交代码、问题、新想法，或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时，我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。
+
+- [Github Discussion](https://github.com/langgenius/dify/discussions). 👉：分享您的应用程序并与社区交流。
+- [GitHub Issues](https://github.com/langgenius/dify/issues)。👉：使用 Dify.AI 时遇到的错误和问题，请参阅[贡献指南](CONTRIBUTING.md)。
+- [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉：关于使用 Dify.AI 的问题。
+- [Discord](https://discord.gg/FngNHpbcY7)。👉：分享您的应用程序并与社区交流。
+- [Twitter](https://twitter.com/dify_ai)。👉：分享您的应用程序并与社区交流。
+- [商业许可](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。👉：有关商业用途许可 Dify.AI 的商业咨询。
+ - [微信]() 👉：扫描下方二维码，添加微信好友，备注 Dify，我们将邀请您加入 Dify 社区。  
+<img src="./images/wechat.png" alt="wechat" width="100"/>
+
+## 安全问题
 
 为了保护您的隐私，请避免在 GitHub 上发布安全问题。发送问题至 security@dify.ai，我们将为您做更细致的解答。
 
-## Citation
-
-本软件使用了以下开源软件：
-
-- Chase, H. (2022). LangChain [Computer software]. https://github.com/hwchase17/langchain
-- Liu, J. (2022). LlamaIndex [Computer software]. doi: 10.5281/zenodo.1234.
-
-更多信息，请参考相应软件的官方网站或许可证文本。
-
 ## License
 
-本仓库遵循 [Dify Open Source License](LICENSE) 开源协议。
+本仓库遵循 [Dify Open Source License](LICENSE) 开源协议，该许可证本质上是 Apache 2.0，但有一些额外的限制。

README_ES.md

@@ -0,0 +1,250 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-alojamiento</a> ·
+  <a href="https://docs.dify.ai">Documentación</a> ·
+  <a href="https://cal.com/guchenhe/dify-demo">Programar demostración</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Insignia Estática" src="https://img.shields.io/badge/Producto-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Insignia Estática" src="https://img.shields.io/badge/gratis-precios?logo=gratis&color=%20%23155EEF&label=precios&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat en Discord"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="seguir en Twitter"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Descargas de Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Actividad de Commits el último mes" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues cerrados" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20cerrados&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Publicaciones de discusión" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Inglés-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+</p>
+
+#
+
+<p align="center">
+  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+</p>
+Dify es una plataforma de desarrollo de aplicaciones de LLM de código abierto. Su interfaz intuitiva combina flujo de trabajo de IA, pipeline RAG, capacidades de agente, gestión de modelos, características de observabilidad y más, lo que le permite pasar rápidamente de un prototipo a producción. Aquí hay una lista de las características principales:
+</br> </br>
+
+**1. Flujo de trabajo**: 
+  Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Soporte de modelos completo**: 
+  Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama2 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![proveedores-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. IDE de prompt**: 
+  Interfaz intuitiva para crear prompts, comparar el rendimiento del modelo y agregar características adicionales como texto a voz a una aplicación basada en chat. 
+
+**4. Pipeline RAG**: 
+  Amplias capacidades de RAG que cubren todo, desde la ingestión de documentos hasta la recuperación, con soporte listo para usar para la extracción de texto de PDF, PPT y otros formatos de documento comunes.
+
+**5. Capacidades de agente**: 
+  Puedes definir agent
+
+es basados en LLM Function Calling o ReAct, y agregar herramientas preconstruidas o personalizadas para el agente. Dify proporciona más de 50 herramientas integradas para agentes de IA, como Búsqueda de Google, DELL·E, Difusión Estable y WolframAlpha.
+
+**6. LLMOps**: 
+  Supervisa y analiza registros de aplicaciones y rendimiento a lo largo del tiempo. Podrías mejorar continuamente prompts, conjuntos de datos y modelos basados en datos de producción y anotaciones.
+
+**7. Backend como servicio**: 
+  Todas las ofertas de Dify vienen con APIs correspondientes, por lo que podrías integrar Dify sin esfuerzo en tu propia lógica empresarial.
+
+
+## Comparación de características
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Característica</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">API de Asistentes de OpenAI</th>
+  </tr>
+  <tr>
+    <td align="center">Enfoque de programación</td>
+    <td align="center">API + orientado a la aplicación</td>
+    <td align="center">Código Python</td>
+    <td align="center">Orientado a la aplicación</td>
+    <td align="center">Orientado a la API</td>
+  </tr>
+  <tr>
+    <td align="center">LLMs admitidos</td>
+    <td align="center">Gran variedad</td>
+    <td align="center">Gran variedad</td>
+    <td align="center">Gran variedad</td>
+    <td align="center">Solo OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">Motor RAG</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agente</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Flujo de trabajo</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Observabilidad</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Característica empresarial (SSO/Control de acceso)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Implementación local</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Usando Dify
+
+- **Nube </br>**
+Hospedamos un servicio [Dify Cloud](https://dify.ai) para que cualquiera lo pruebe sin configuración. Proporciona todas las capacidades de la versión autoimplementada e incluye 200 llamadas gratuitas a GPT-4 en el plan sandbox.
+
+- **Auto-alojamiento de Dify Community Edition</br>**
+Pon rápidamente Dify en funcionamiento en tu entorno con esta [guía de inicio rápido](#quick-start).
+Usa nuestra [documentación](https://docs.dify.ai) para más referencias e instrucciones más detalladas.
+
+- **Dify para Empresas / Organizaciones</br>**
+Proporcionamos características adicionales centradas en la empresa. [Programa una reunión con nosotros](https://cal.com/guchenhe/30min) o [envíanos un correo electrónico](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) para discutir las necesidades empresariales. </br>
+  > Para startups y pequeñas empresas que utilizan AWS, echa un vistazo a [Dify Premium en AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) e impleméntalo en tu propio VPC de AWS con un clic. Es una AMI asequible que ofrece la opción de crear aplicaciones con logotipo y marca personalizados.
+
+
+## Manteniéndote al tanto
+
+Dale estrella a Dify en GitHub y serás notificado instantáneamente de las nuevas versiones.
+
+![danos estrella](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+
+## Inicio Rápido
+> Antes de instalar Dify, asegúrate de que tu máquina cumpla con los siguientes requisitos mínimos del sistema:
+> 
+>- CPU >= 2 núcleos
+>- RAM >= 4GB
+
+</br>
+
+La forma más fácil de iniciar el servidor de Dify es ejecutar nuestro archivo [docker-compose.yml](docker/docker-compose.yaml). Antes de ejecutar el comando de instalación, asegúrate de que [Docker](https://docs.docker.com/get-docker/) y [Docker Compose](https://docs.docker.com/compose/install/) estén instalados en tu máquina:
+
+```bash
+cd docker
+docker compose up -d
+```
+
+Después de ejecutarlo, puedes acceder al panel de control de Dify en tu navegador en [http://localhost/install](http://localhost/install) y comenzar el proceso de inicialización.
+
+> Si deseas contribuir a Dify o realizar desarrollo adicional, consulta nuestra [guía para implementar desde el código fuente](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## Próximos pasos
+
+Si necesitas personalizar la configuración, consulta los comentarios en nuestro archivo [docker-compose.yml](docker/docker-compose.yaml) y configura manualmente la configuración del entorno
+
+. Después de realizar los cambios, ejecuta `docker-compose up -d` nuevamente. Puedes ver la lista completa de variables de entorno [aquí](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+Si deseas configurar una instalación altamente disponible, hay [Gráficos Helm](https://helm.sh/) contribuidos por la comunidad que permiten implementar Dify en Kubernetes.
+
+- [Gráfico Helm por @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Gráfico Helm por @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+
+
+## Contribuir
+
+Para aquellos que deseen contribuir con código, consulten nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+Al mismo tiempo, considera apoyar a Dify compartiéndolo en redes sociales y en eventos y conferencias.
+
+
+> Estamos buscando colaboradores para ayudar con la traducción de Dify a idiomas que no sean el mandarín o el inglés. Si estás interesado en ayudar, consulta el [README de i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) para obtener más información y déjanos un comentario en el canal `global-users` de nuestro [Servidor de Comunidad en Discord](https://discord.gg/8Tpq4AcN9c).
+
+**Contribuidores**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Comunidad y Contacto
+
+* [Discusión en GitHub](https://github.com/langgenius/dify/discussions). Lo mejor para: compartir comentarios y hacer preguntas.
+* [Reporte de problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores que encuentres usando Dify.AI y propuestas de características. Consulta nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Correo electrónico](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Lo mejor para: preguntas que tengas sobre el uso de Dify.AI.
+* [Discord](https://discord.gg/FngNHpbcY7). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
+* [Twitter](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
+
+O, programa una reunión directamente con un miembro del equipo:
+
+<table>
+  <tr>
+    <th>Punto de Contacto</th>
+    <th>Propósito</th>
+  </tr>
+  <tr>
+    <td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
+    <td>Consultas comerciales y retroalimentación del producto</td>
+  </tr>
+  <tr>
+    <td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
+    <td>Contribuciones, problemas y solicitudes de características</td>
+  </tr>
+</table>
+
+## Historial de Estrellas
+
+[![Gráfico de Historial de Estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## Divulgación de Seguridad
+
+Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En su lugar, envía tus preguntas a security@dify.ai y te proporcionaremos una respuesta más detallada.
+
+## Licencia
+
+Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.

README_FR.md

@@ -0,0 +1,250 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hébergement</a> ·
+  <a href="https://docs.dify.ai">Documentation</a> ·
+  <a href="https://cal.com/guchenhe/dify-demo">Planifier une démo</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Badge statique" src="https://img.shields.io/badge/Produit-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Badge statique" src="https://img.shields.io/badge/gratuit-Tarification?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat sur Discord"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="suivre sur Twitter"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Tirages Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits le mois dernier" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Problèmes fermés" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Messages de discussion" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Anglais-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+</p>
+
+#
+
+<p align="center">
+  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+</p>
+Dify est une plateforme de développement d'applications LLM open source. Son interface intuitive combine un flux de travail d'IA, un pipeline RAG, des capacités d'agent, une gestion de modèles, des fonctionnalités d'observabilité, et plus encore, vous permettant de passer rapidement du prototype à la production. Voici une liste des fonctionnalités principales:
+</br> </br>
+
+**1. Flux de travail**: 
+  Construisez et testez des flux de travail d'IA puissants sur un canevas visuel, en utilisant toutes les fonctionnalités suivantes et plus encore.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Prise en charge complète des modèles**: 
+  Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama2, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. IDE de prompt**: 
+  Interface intuitive pour créer des prompts, comparer les performances des modèles et ajouter des fonctionnalités supplémentaires telles que la synthèse vocale à une application basée sur des chats. 
+
+**4. Pipeline RAG**: 
+  Des capacités RAG étendues qui couvrent tout, de l'ingestion de documents à la récupération, avec un support prêt à l'emploi pour l'extraction de texte à partir de PDF, PPT et autres formats de document courants.
+
+**5. Capac
+
+ités d'agent**: 
+  Vous pouvez définir des agents basés sur l'appel de fonction LLM ou ReAct, et ajouter des outils pré-construits ou personnalisés pour l'agent. Dify fournit plus de 50 outils intégrés pour les agents d'IA, tels que la recherche Google, DELL·E, Stable Diffusion et WolframAlpha.
+
+**6. LLMOps**: 
+  Surveillez et analysez les journaux d'application et les performances au fil du temps. Vous pouvez continuellement améliorer les prompts, les ensembles de données et les modèles en fonction des données de production et des annotations.
+
+**7. Backend-as-a-Service**: 
+  Toutes les offres de Dify sont accompagnées d'API correspondantes, vous permettant d'intégrer facilement Dify dans votre propre logique métier.
+
+
+## Comparaison des fonctionnalités
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Fonctionnalité</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Approche de programmation</td>
+    <td align="center">API + Application</td>
+    <td align="center">Code Python</td>
+    <td align="center">Application</td>
+    <td align="center">API</td>
+  </tr>
+  <tr>
+    <td align="center">LLMs pris en charge</td>
+    <td align="center">Grande variété</td>
+    <td align="center">Grande variété</td>
+    <td align="center">Grande variété</td>
+    <td align="center">Uniquement OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">Moteur RAG</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agent</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Flux de travail</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Observabilité</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Fonctionnalité d'entreprise (SSO/Contrôle d'accès)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Déploiement local</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Utiliser Dify
+
+- **Cloud </br>**
+Nous hébergeons un service [Dify Cloud](https://dify.ai) pour que tout le monde puisse l'essayer sans aucune configuration. Il fournit toutes les capacités de la version auto-hébergée et comprend 200 appels GPT-4 gratuits dans le plan bac à sable.
+
+- **Auto-hébergement Dify Community Edition</br>**
+Lancez rapidement Dify dans votre environnement avec ce [guide de démarrage](#quick-start).
+Utilisez notre [documentation](https://docs.dify.ai) pour plus de références et des instructions plus détaillées.
+
+- **Dify pour les entreprises / organisations</br>**
+Nous proposons des fonctionnalités supplémentaires adaptées aux entreprises. [Planifiez une réunion avec nous](https://cal.com/guchenhe/30min) ou [envoyez-nous un e-mail](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) pour discuter des besoins de l'entreprise. </br>
+  > Pour les startups et les petites entreprises utilisant AWS, consultez [Dify Premium sur AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) et déployez-le dans votre propre VPC AWS en un clic. C'est une offre AMI abordable avec la possibilité de créer des applications avec un logo et une marque personnalisés.
+
+
+## Rester en avance
+
+Mettez une étoile à Dify sur GitHub et soyez instantanément informé des nouvelles versions.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+
+## Démarrage rapide
+> Avant d'installer Dify, assurez-vous que votre machine répond aux exigences système minimales suivantes:
+> 
+>- CPU >= 2 cœurs
+>- RAM >= 4 Go
+
+</br>
+
+La manière la plus simple de démarrer le serveur Dify est d'exécuter notre fichier [docker-compose.yml](docker/docker-compose.yaml). Avant d'exécuter la commande d'installation, assurez-vous que [Docker](https://docs.docker.com/get-docker/) et [Docker Compose](https://docs.docker.com/compose/install/) sont installés sur votre machine:
+
+```bash
+cd docker
+docker compose up -d
+```
+
+Après l'exécution, vous pouvez accéder au tableau de bord Dify dans votre navigateur à [http://localhost/install](http://localhost/install) et commencer le processus d'initialisation.
+
+> Si vous souhaitez contribuer à Dify ou effectuer un développement supplémentaire, consultez notre [guide de déploiement à partir du code source](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## Prochaines étapes
+
+Si vous devez personnaliser la configuration, veuillez
+
+ vous référer aux commentaires dans notre fichier [docker-compose.yml](docker/docker-compose.yaml) et définir manuellement la configuration de l'environnement. Après avoir apporté les modifications, veuillez exécuter à nouveau `docker-compose up -d`. Vous pouvez voir la liste complète des variables d'environnement [ici](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+Si vous souhaitez configurer une installation hautement disponible, il existe des [Helm Charts](https://helm.sh/) contribués par la communauté qui permettent de déployer Dify sur Kubernetes.
+
+- [Helm Chart par @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart par @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+
+
+## Contribuer
+
+Pour ceux qui souhaitent contribuer du code, consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+Dans le même temps, veuillez envisager de soutenir Dify en le partageant sur les réseaux sociaux et lors d'événements et de conférences.
+
+
+> Nous recherchons des contributeurs pour aider à traduire Dify dans des langues autres que le mandarin ou l'anglais. Si vous êtes intéressé à aider, veuillez consulter le [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) pour plus d'informations, et laissez-nous un commentaire dans le canal `global-users` de notre [Serveur communautaire Discord](https://discord.gg/8Tpq4AcN9c).
+
+**Contributeurs**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Communauté & Contact
+
+* [Discussion GitHub](https://github.com/langgenius/dify/discussions). Meilleur pour: partager des commentaires et poser des questions.
+* [Problèmes GitHub](https://github.com/langgenius/dify/issues). Meilleur pour: les bogues que vous rencontrez en utilisant Dify.AI et les propositions de fonctionnalités. Consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [E-mail](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Meilleur pour: les questions que vous avez sur l'utilisation de Dify.AI.
+* [Discord](https://discord.gg/FngNHpbcY7). Meilleur pour: partager vos applications et passer du temps avec la communauté.
+* [Twitter](https://twitter.com/dify_ai). Meilleur pour: partager vos applications et passer du temps avec la communauté.
+
+Ou, planifiez directement une réunion avec un membre de l'équipe:
+
+<table>
+  <tr>
+    <th>Point de contact</th>
+    <th>Objectif</th>
+  </tr>
+  <tr>
+    <td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
+    <td>Demandes commerciales & retours produit</td>
+  </tr>
+  <tr>
+    <td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
+    <td>Contributions, problèmes & demandes de fonctionnalités</td>
+  </tr>
+</table>
+
+## Historique des étoiles
+
+[![Graphique de l'historique des étoiles](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## Divulgation de sécurité
+
+Pour protéger votre vie privée, veuillez éviter de publier des problèmes de sécurité sur GitHub. Au lieu de cela, envoyez vos questions à security@dify.ai et nous vous fournirons une réponse plus détaillée.
+
+## Licence
+
+Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement l'Apache 2.0 avec quelques restrictions supplémentaires.

README_JA.md

@@ -1,120 +1,249 @@
-![](./images/describe-en.png)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
 <p align="center">
-  <a href="./README.md">English</a> |
-  <a href="./README_CN.md">简体中文</a> |
-  <a href="./README_JA.md">日本語</a>
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">自己ホスティング</a> ·
+  <a href="https://docs.dify.ai">ドキュメント</a> ·
+  <a href="https://cal.com/guchenhe/dify-demo">デモのスケジュール</a>
 </p>
 
-[Web サイト](https://dify.ai) • [ドキュメント](https://docs.dify.ai) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="Discordでチャット"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="Twitterでフォロー"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="先月のコミット" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="クローズされた問題" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="ディスカッション投稿" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
 
-Product Huntで私たちに投票してください ↓  
-<a href="https://www.producthunt.com/posts/dify-ai"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?sanitize=true&post_id=dify-ai&theme=light" alt="Product Hunt Badge" width="250" height="54"></a>
+<p align="center">
+  <a href="./README.md"><img alt="先月のコミット" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="先月のコミット" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="先月のコミット" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+</p>
+
+#
+
+<p align="center">
+  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+</p>
+
+DifyはオープンソースのLLMアプリケーション開発プラットフォームです。直感的なインターフェースには、AIワークフロー、RAGパイプライン、エージェント機能、モデル管理、観測機能などが組み合わさっており、プロトタイプから本番までの移行を迅速に行うことができます。以下は、主要機能のリストです：
+</br> </br>
+
+**1. ワークフロー**: 
+  ビジュアルキャンバス上で強力なAIワークフローを構築してテストし、以下の機能を活用してプロトタイプを超えることができます。
 
 
-**Dify** は、より多くの人々が持続可能な AI ネイティブアプリケーションを作成できるように設計された、使いやすい LLMOps プラットフォームです。様々なアプリケーションタイプに対応したビジュアルオーケストレーションにより Dify は Backend-as-a-Service API としても機能する、すぐに使えるアプリケーションを提供します。プラグインやデータセットを統合するための1つの API で開発プロセスを統一し、プロンプトエンジニアリング、ビジュアル分析、継続的な改善のための1つのインターフェイスを使って業務を合理化します。
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-Difyで作成したアプリケーションは以下の通りです:
 
-フォームモードとチャット会話モードをサポートする、すぐに使える Web サイト
-プラグイン機能、コンテキストの強化などを網羅する単一の API により、バックエンドのコーディングの手間を省きます。
-アプリケーションの視覚的なデータ分析、ログレビュー、アノテーションが可能です。
-Dify は LangChain と互換性があり、複数の LLM を徐々にサポートします:
 
-- GPT 3 (text-davinci-003)
-- GPT 3.5 Turbo(ChatGPT)
-- GPT-4
+**2. 網羅的なモデルサポート**: 
+  数百のプロプライエタリ/オープンソースのLLMと、数十の推論プロバイダーおよびセルフホスティングソリューションとのシームレスな統合を提供します。GPT、Mistral、Llama2、およびOpenAI API互換のモデルをカバーします。サポートされているモデルプロバイダーの完全なリストは[こちら](https://docs
 
-## クラウドサービスの利用
+.dify.ai/getting-started/readme/model-providers)をご覧ください。
 
-[Dify.ai](https://dify.ai) をご覧ください
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
-## Community Edition のインストール
 
-### システム要件
+**3. プロンプトIDE**: 
+  チャットベースのアプリにテキスト読み上げなどの追加機能を追加するプロンプトを作成し、モデルのパフォーマンスを比較する直感的なインターフェース。
 
-Dify をインストールする前に、お使いのマシンが以下の最低システム要件を満たしていることを確認してください:
+**4. RAGパイプライン**: 
+  文書の取り込みから取得までをカバーする幅広いRAG機能で、PDF、PPTなどの一般的なドキュメント形式からのテキスト抽出に対するアウトオブボックスのサポートを提供します。
 
-- CPU >= 1 Core
-- RAM >= 4GB
+**5. エージェント機能**: 
+  LLM関数呼び出しまたはReActに基づいてエージェントを定義し、エージェント向けの事前構築済みまたはカスタムのツールを追加できます。Difyには、Google検索、DELL·E、Stable Diffusion、WolframAlphaなどのAIエージェント用の50以上の組み込みツールが用意されています。
 
-### クイックスタート
+**6. LLMOps**: 
+  アプリケーションログとパフォーマンスを時間の経過とともにモニタリングおよび分析します。本番データと注釈に基づいて、プロンプト、データセット、およびモデルを継続的に改善できます。
 
-Dify サーバーを起動する最も簡単な方法は、[docker-compose.yml](docker/docker-compose.yaml) ファイルを実行することです。インストールコマンドを実行する前に、[Docker](https://docs.docker.com/get-docker/) と [Docker Compose](https://docs.docker.com/compose/install/) がお使いのマシンにインストールされていることを確認してください:
+**7. Backend-as-a-Service**: 
+  Difyのすべての提供には、それに対応するAPIが付属しており、独自のビジネスロジックにDifyをシームレスに統合できます。
+
+
+## 機能比較
+<table style="width: 100%;">
+  <tr>
+    <th align="center">機能</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">プログラミングアプローチ</td>
+    <td align="center">API + アプリ指向</td>
+    <td align="center">Pythonコード</td>
+    <td align="center">アプリ指向</td>
+    <td align="center">API指向</td>
+  </tr>
+  <tr>
+    <td align="center">サポートされているLLM</td>
+    <td align="center">豊富なバリエーション</td>
+    <td align="center">豊富なバリエーション</td>
+    <td align="center">豊富なバリエーション</td>
+    <td align="center">OpenAIのみ</td>
+  </tr>
+  <tr>
+    <td align="center">RAGエンジン</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">エージェント</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">ワークフロー</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">観測性</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">エンタープライズ機能（SSO/アクセス制御）</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">ローカル展開</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Difyの使用方法
+
+- **クラウド </br>**
+[こちら](https://dify.ai)のDify Cloudサービスを利用して、セットアップが不要で誰でも試すことができます。サンドボックスプランでは、200回の無料のGPT-4呼び出しが含まれています。
+
+- **Dify Community Editionのセルフホスティング</br>**
+この[スターターガイド](#quick-start)を使用して、環境でDifyをすばやく実行できます。
+さらなる参照や詳細な手順については、[ドキュメント](https://docs.dify.ai)をご覧ください。
+
+- **エンタープライズ/組織向けのDify</br>**
+追加のエンタープライズ向け機能を提供しています。[こちらからミーティ
+
+ングを予約](https://cal.com/guchenhe/30min)したり、[メールを送信](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)してエンタープライズのニーズについて相談してください。 </br>
+  > AWSを使用しているスタートアップや中小企業の場合は、[AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)のDify Premiumをチェックして、ワンクリックで独自のAWS VPCにデプロイできます。カスタムロゴとブランディングでアプリを作成するオプションを備えた手頃な価格のAMIオファリングです。
+
+
+## 先を見る
+
+GitHubでDifyにスターを付け、新しいリリースをすぐに通知されます。
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+
+## クイックスタート
+> Difyをインストールする前に、マシンが以下の最小システム要件を満たしていることを確認してください：
+> 
+>- CPU >= 2コア
+>- RAM >= 4GB
+
+</br>
+
+Difyサーバーを起動する最も簡単な方法は、当社の[docker-compose.yml](docker/docker-compose.yaml)ファイルを実行することです。インストールコマンドを実行する前に、マシンに[Docker](https://docs.docker.com/get-docker/)と[Docker Compose](https://docs.docker.com/compose/install/)がインストールされていることを確認してください。
 
 ```bash
 cd docker
-docker-compose up -d
+docker compose up -d
 ```
 
-実行後、ブラウザで [http://localhost/install](http://localhost/install) にアクセスし、初期化インストール作業を開始することができます。
+実行後、ブラウザで[http://localhost/install](http://localhost/install)にアクセスし、初期化プロセスを開始できます。
 
-### 構成
+> Difyに貢献したり、追加の開発を行う場合は、[ソースコードからのデプロイガイド](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)を参照してください。
 
-カスタマイズが必要な場合は、[docker-compose.yml](docker/docker-compose.yaml) ファイルのコメントを参照し、手動で環境設定をお願いします。変更後、再度 'docker-compose up -d' を実行してください。
+## 次のステップ
 
-## ロードマップ
+環境設定をカスタマイズする場合は、[docker-compose.yml](docker/docker-compose.yaml)ファイル内のコメントを参照して、環境設定を手動で設定してください。変更を加えた後は、再び `docker-compose up -d` を実行してください。環境変数の完全なリストは[こちら](https://docs.dify.ai/getting-started/install-self-hosted/environments)をご覧ください。
 
-開発中の機能:
+高可用性のセットアップを構成する場合は、コミュニティによって提供されている[Helm Charts](https://helm.sh/)があり、これによりKubernetes上にDifyを展開できます。
 
-- **データセット**, Notionやウェブページからのコンテンツ同期など、より多くのデータセットをサポートします
-テキスト、ウェブページ、さらには Notion コンテンツなど、より多くのデータセットをサポートする予定です。ユーザーは、自分のデータソースをもとに AI アプリケーションを構築することができます。
-- **プラグイン**, アプリケーションに ChatGPT プラグイン標準のプラグインを導入する、または Dify 制作のプラグインを利用する
-今後、ChatGPT 規格に準拠したプラグインや、ディファイ独自のプラグインを公開し、より多くの機能をアプリケーションで実現できるようにします。
-- **オープンソースモデル**, 例えばモデルプロバイダーとして Llama を採用したり、さらにファインチューニングを行う
-Llama のような優れたオープンソースモデルを、私たちのプラットフォームのモデルオプションとして提供したり、さらなる微調整のために使用したりすることで、協力していきます。
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 
 
-## Q&A
+## 貢献
 
-**Q: Dify で何ができるのか？**
+コードに貢献したい方は、[Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)を参照してください。
+同時に、DifyをSNSやイベント、カンファレンスで共有してサポートしていただけると幸いです。
 
-A: Dify はシンプルでパワフルな LLM 開発・運用ツールです。商用グレードのアプリケーション、パーソナルアシスタントを構築するために使用することができます。独自のアプリケーションを開発したい場合、LangDifyGenius は OpenAI と統合する際のバックエンド作業を省き、視覚的な操作機能を提供し、GPT モデルを継続的に改善・訓練することが可能です。
 
-**Q: Dify を使って、自分のモデルを「トレーニング」するにはどうすればいいのでしょうか？**
+> Difyを英語または中国語以外の言語に翻訳してくれる貢献者を募集しています。興味がある場合は、詳細については[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)を参照してください。また、[Discordコミュニティサーバー](https://discord.gg/8Tpq4AcN9c)の`global-users`チャンネルにコメントを残してください。
 
-A: プロンプトエンジニアリング、コンテキスト拡張、ファインチューニングからなる価値あるアプリケーションです。プロンプトとプログラミング言語を組み合わせたハイブリッドプログラミングアプローチ（テンプレートエンジンのようなもの）で、長文の埋め込みやユーザー入力の YouTube 動画からの字幕取り込みなどを簡単に実現し、これらはすべて LLM が処理するコンテキストとして提出される予定です。また、アプリケーションの操作性を重視し、ユーザーがアプリケーションを使用する際に生成したデータを分析、アノテーション、継続的なトレーニングに利用できるようにしました。適切なツールがなければ、これらのステップに時間がかかることがあります。
+**貢献者**
 
-**Q: 自分でアプリケーションを作りたい場合、何を準備すればよいですか？**
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
 
-A: すでに OpenAI API Key をお持ちだと思いますが、お持ちでない場合はご登録ください。もし、すでにトレーニングのコンテキストとなるコンテンツをお持ちでしたら、それは素晴らしいことです！
+## コミュニティ & お問い合わせ
 
-**Q: インターフェイスにどの言語が使えますか？**
+* [Github Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。
+* [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIの使用中に遭遇したバグや機能提案。
+* [Email](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). 主に: Dify.AIの使用に関する質問。
+* [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。
+* [Twitter](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。
 
-A: 現在、英語と中国語に対応しており、言語パックを寄贈することも可能です。
+または、直接チームメンバーとミーティングをスケジュールします：
 
-## Star ヒストリー
+<table>
+  <tr>
+    <th>連絡先</th>
+    <th>目的</th>
+  </tr>
+  <tr>
+    <td><a href='https://cal.com
 
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+/guchenhe/30min'>ミーティング</a></td>
+    <td>無料の30分間のミーティングをスケジュールしてください。</td>
+  </tr>
+  <tr>
+    <td><a href='mailto:support@dify.ai?subject=[GitHub]Technical%20Support'>技術サポート</a></td>
+    <td>技術的な問題やサポートに関する質問</td>
+  </tr>
+  <tr>
+    <td><a href='mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry'>営業担当</a></td>
+    <td>法人ライセンスに関するお問い合わせ</td>
+  </tr>
+</table>
 
-## お問合せ
-
-ご質問、ご提案、パートナーシップに関するお問い合わせは、以下のチャンネルからお気軽にご連絡ください:
-
-- GitHub Repo で Issue や PR を提出する
-- [Discord](https://discord.gg/FngNHpbcY7) コミュニティで議論に参加する。
-- hello@dify.ai にメールを送信します
-
-私たちは、皆様のお手伝いをさせていただき、より楽しく、より便利な AI アプリケーションを一緒に作っていきたいと思っています！
-
-## コントリビュート
-
-適切なレビューを行うため、コミットへの直接アクセスが可能なコントリビュータを含むすべてのコードコントリビュータは、プルリクエストで提出し、マージされる前にコア開発チームによって承認される必要があります。
-
-私たちはすべてのプルリクエストを歓迎します！協力したい方は、[コントリビューションガイド](CONTRIBUTING.md) をチェックしてみてください。
-
-## セキュリティ
-
-プライバシー保護のため、GitHub へのセキュリティ問題の投稿は避けてください。代わりに、あなたの質問を security@dify.ai に送ってください。より詳細な回答を提供します。
-
-## 引用
-
-本ソフトウェアは、以下のオープンソースソフトウェアを使用しています:
-
-- Chase, H. (2022). LangChain [Computer software]. https://github.com/hwchase17/langchain
-- Liu, J. (2022). LlamaIndex [Computer software]. doi: 10.5281/zenodo.1234.
-
-詳しくは、各ソフトウェアの公式サイトまたはライセンス文をご参照ください。
 
 ## ライセンス
 
-このリポジトリは、[Dify Open Source License](LICENSE) のもとで利用できます。
+プロジェクトはMITライセンスの下で利用可能です。[LICENSE](LICENSE)をご参照ください。

README_KL.md

@@ -0,0 +1,250 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
+  <a href="https://docs.dify.ai">Documentation</a> ·
+  <a href="https://cal.com/guchenhe/dify-demo">Schedule demo</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on Twitter"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="Commits last month" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="Commits last month" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="Commits last month" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="Commits last month" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="Commits last month" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="Commits last month" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+</p>
+
+#
+
+<p align="center">
+  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+</p>
+Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
+</br> </br>
+
+**1. Workflow**: 
+  Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Comprehensive model support**: 
+  Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama2, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. Prompt IDE**: 
+  Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app. 
+
+**4. RAG Pipeline**: 
+  Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
+
+**5. Agent capabilities**: 
+  You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DELL·E, Stable Diffusion and WolframAlpha.
+
+**6. LLMOps**: 
+  Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
+
+**7. Backend-as-a-Service**: 
+  All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
+
+
+## Feature Comparison
+<table style="width: 100%;">
+  <tr
+
+>
+    <th align="center">Feature</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Programming Approach</td>
+    <td align="center">API + App-oriented</td>
+    <td align="center">Python Code</td>
+    <td align="center">App-oriented</td>
+    <td align="center">API-oriented</td>
+  </tr>
+  <tr>
+    <td align="center">Supported LLMs</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">OpenAI-only</td>
+  </tr>
+  <tr>
+    <td align="center">RAG Engine</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agent</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Workflow</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Observability</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Enterprise Feature (SSO/Access control)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Local Deployment</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Using Dify
+
+- **Cloud </br>**
+We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
+
+- **Self-hosting Dify Community Edition</br>**
+Quickly get Dify running in your environment with this [starter guide](#quick-start).
+Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
+
+- **Dify for Enterprise / Organizations</br>**
+We provide additional enterprise-centric features. [Schedule a meeting with us](https://cal.com/guchenhe/30min) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
+  > For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
+
+
+## Staying ahead
+
+Star Dify on GitHub and be instantly notified of new releases.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+
+## Quick Start
+> Before installing Dify, make sure your machine meets the following minimum system requirements:
+> 
+>- CPU >= 2 Core
+>- RAM >= 4GB
+
+</br>
+
+The easiest way to start the Dify server is to run our [docker-compose.yml](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
+
+```bash
+cd docker
+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 process.
+
+> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## Next steps
+
+If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run `docker-compose up -d` again. You can see the full list of environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) which allow 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)
+
+
+## Contributing
+
+For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
+
+
+> 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).
+
+**Contributors**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Community & Contact
+
+* [Github Discussion](https://github.com/langgenius/dify/discussions
+
+). Best for: sharing feedback and asking questions.
+* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Email](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Best for: questions you have about using Dify.AI.
+* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
+* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
+
+Or, schedule a meeting directly with a team member:
+
+<table>
+  <tr>
+    <th>Point of Contact</th>
+    <th>Purpose</th>
+  </tr>
+  <tr>
+    <td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
+    <td>Business enquiries & product feedback</td>
+  </tr>
+  <tr>
+    <td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
+    <td>Contributions, issues & feature requests</td>
+  </tr>
+</table>
+
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## Security Disclosure
+
+To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
+
+## License
+
+This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.

api/.dockerignore

@@ -1,2 +1,11 @@
 .env
-storage/privkeys/*
+*.env.*
+
+storage/privkeys/*
+
+# Logs
+logs
+*.log*
+
+# jetbrains
+.idea

api/.env.example

@@ -8,13 +8,17 @@ EDITION=SELF_HOSTED
 SECRET_KEY=
 
 # Console API base URL
-CONSOLE_URL=http://127.0.0.1:5001
+CONSOLE_API_URL=http://127.0.0.1:5001
+CONSOLE_WEB_URL=http://127.0.0.1:3000
 
 # Service API base URL
-API_URL=http://127.0.0.1:5001
+SERVICE_API_URL=http://127.0.0.1:5001
 
 # Web APP base URL
-APP_URL=http://127.0.0.1:3000
+APP_WEB_URL=http://127.0.0.1:3000
+
+# Files URL
+FILES_URL=http://127.0.0.1:5001
 
 # celery configuration
 CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
@@ -22,6 +26,7 @@ CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
 # redis configuration
 REDIS_HOST=localhost
 REDIS_PORT=6379
+REDIS_USERNAME=
 REDIS_PASSWORD=difyai123456
 REDIS_DB=0
 
@@ -34,7 +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
@@ -42,40 +47,63 @@ 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,*
 CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 
-# Cookie configuration
-COOKIE_HTTPONLY=true
-COOKIE_SAMESITE=None
-COOKIE_SECURE=true
-
-# Session configuration
-SESSION_PERMANENT=true
-SESSION_USE_SIGNER=true
-
-## support redis, sqlalchemy
-SESSION_TYPE=redis
-
-# session redis configuration
-SESSION_REDIS_HOST=localhost
-SESSION_REDIS_PORT=6379
-SESSION_REDIS_PASSWORD=difyai123456
-SESSION_REDIS_DB=2
-
-# Vector database configuration, support: weaviate, qdrant
+# Vector database configuration, support: weaviate, qdrant, milvus, relyt
 VECTOR_STORE=weaviate
 
 # Weaviate configuration
 WEAVIATE_ENDPOINT=http://localhost:8080
 WEAVIATE_API_KEY=WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
 WEAVIATE_GRPC_ENABLED=false
+WEAVIATE_BATCH_SIZE=100
 
-# Qdrant configuration, use `path:` prefix for local mode or `https://your-qdrant-cluster-url.qdrant.io` for remote mode
-QDRANT_URL=path:storage/qdrant
-QDRANT_API_KEY=your-qdrant-api-key
+# Qdrant configuration, use `http://localhost:6333` for local mode or `https://your-qdrant-cluster-url.qdrant.io` for remote mode
+QDRANT_URL=http://localhost:6333
+QDRANT_API_KEY=difyai123456
+QDRANT_CLIENT_TIMEOUT=20
+
+# Milvus configuration
+MILVUS_HOST=127.0.0.1
+MILVUS_PORT=19530
+MILVUS_USER=root
+MILVUS_PASSWORD=Milvus
+MILVUS_SECURE=false
+
+# Relyt configuration
+RELYT_HOST=127.0.0.1
+RELYT_PORT=5432
+RELYT_USER=postgres
+RELYT_PASSWORD=postgres
+RELYT_DATABASE=postgres
+
+# Upload configuration
+UPLOAD_FILE_SIZE_LIMIT=15
+UPLOAD_FILE_BATCH_LIMIT=5
+UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
+
+# Model Configuration
+MULTIMODAL_SEND_IMAGE_FORMAT=base64
+
+# 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=
@@ -83,3 +111,52 @@ SENTRY_DSN=
 # DEBUG
 DEBUG=false
 SQLALCHEMY_ECHO=false
+
+# Notion import configuration, support public and internal
+NOTION_INTEGRATION_TYPE=public
+NOTION_CLIENT_SECRET=you-client-secret
+NOTION_CLIENT_ID=you-client-id
+NOTION_INTERNAL_SECRET=you-internal-secret
+
+# Hosted Model Credentials
+HOSTED_OPENAI_API_KEY=
+HOSTED_OPENAI_API_BASE=
+HOSTED_OPENAI_API_ORGANIZATION=
+HOSTED_OPENAI_TRIAL_ENABLED=false
+HOSTED_OPENAI_QUOTA_LIMIT=200
+HOSTED_OPENAI_PAID_ENABLED=false
+
+HOSTED_AZURE_OPENAI_ENABLED=false
+HOSTED_AZURE_OPENAI_API_KEY=
+HOSTED_AZURE_OPENAI_API_BASE=
+HOSTED_AZURE_OPENAI_QUOTA_LIMIT=200
+
+HOSTED_ANTHROPIC_API_BASE=
+HOSTED_ANTHROPIC_API_KEY=
+HOSTED_ANTHROPIC_TRIAL_ENABLED=false
+HOSTED_ANTHROPIC_QUOTA_LIMIT=600000
+HOSTED_ANTHROPIC_PAID_ENABLED=false
+
+ETL_TYPE=dify
+UNSTRUCTURED_API_URL=
+
+SSRF_PROXY_HTTP_URL=
+SSRF_PROXY_HTTPS_URL=
+
+BATCH_UPLOAD_LIMIT=10
+KEYWORD_DATA_SOURCE_TYPE=database
+
+# CODE EXECUTION CONFIGURATION
+CODE_EXECUTION_ENDPOINT=http://127.0.0.1:8194
+CODE_EXECUTION_API_KEY=dify-sandbox
+CODE_MAX_NUMBER=9223372036854775807
+CODE_MIN_NUMBER=-9223372036854775808
+CODE_MAX_STRING_LENGTH=80000
+TEMPLATE_TRANSFORM_MAX_LENGTH=80000
+CODE_MAX_STRING_ARRAY_LENGTH=30
+CODE_MAX_OBJECT_ARRAY_LENGTH=30
+CODE_MAX_NUMBER_ARRAY_LENGTH=1000
+
+# API Tool configuration
+API_TOOL_DEFAULT_CONNECT_TIMEOUT=10
+API_TOOL_DEFAULT_READ_TIMEOUT=60

api/.vscode/launch.json

@@ -0,0 +1,42 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Celery",
+            "type": "debugpy",
+            "request": "launch",
+            "module": "celery",
+            "justMyCode": true,
+            "args": ["-A", "app.celery", "worker", "-P", "gevent", "-c", "1", "--loglevel", "info", "-Q", "dataset,generation,mail"],
+            "envFile": "${workspaceFolder}/.env",
+            "env": {
+                "FLASK_APP": "app.py",
+                "FLASK_DEBUG": "1",
+                "GEVENT_SUPPORT": "True"
+            },
+            "console": "integratedTerminal"
+        },
+        {
+            "name": "Python: Flask",
+            "type": "debugpy",
+            "request": "launch",
+            "module": "flask",
+            "env": {
+                "FLASK_APP": "app.py",
+                "FLASK_DEBUG": "1",
+                "GEVENT_SUPPORT": "True"
+            },
+            "args": [
+                "run",
+                "--host=0.0.0.0",
+                "--port=5001",
+                "--debug"
+            ],
+            "jinja": true,
+            "justMyCode": true
+        }
+    ]
+}

api/Dockerfile

@@ -1,22 +1,43 @@
-FROM langgenius/base:1.0.0-bullseye-slim as langgenius-api
+# base image
+FROM python:3.10-slim-bookworm AS base
 
 LABEL maintainer="takatost@gmail.com"
 
+# install packages
+FROM base as packages
+
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends gcc g++ libc-dev libffi-dev libgmp-dev libmpfr-dev libmpc-dev
+
+COPY requirements.txt /requirements.txt
+
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install --prefix=/pkg -r requirements.txt
+
+# production stage
+FROM base AS production
+
 ENV FLASK_APP app.py
 ENV EDITION SELF_HOSTED
 ENV DEPLOY_ENV PRODUCTION
-ENV CONSOLE_URL http://127.0.0.1:5001
-ENV API_URL http://127.0.0.1:5001
-ENV APP_URL http://127.0.0.1:5001
+ENV CONSOLE_API_URL http://127.0.0.1:5001
+ENV CONSOLE_WEB_URL http://127.0.0.1:3000
+ENV SERVICE_API_URL http://127.0.0.1:5001
+ENV APP_WEB_URL http://127.0.0.1:3000
 
 EXPOSE 5001
 
+# set timezone
+ENV TZ UTC
+
 WORKDIR /app/api
 
-COPY requirements.txt /app/api/requirements.txt
-
-RUN pip install -r requirements.txt
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends curl wget vim nodejs ffmpeg libgmp-dev libmpfr-dev libmpc-dev \
+    && apt-get autoremove \
+    && rm -rf /var/lib/apt/lists/*
 
+COPY --from=packages /pkg /usr/local
 COPY . /app/api/
 
 COPY docker/entrypoint.sh /entrypoint.sh
@@ -25,4 +46,4 @@ RUN chmod +x /entrypoint.sh
 ARG COMMIT_SHA
 ENV COMMIT_SHA ${COMMIT_SHA}
 
-ENTRYPOINT ["/entrypoint.sh"]
+ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]

api/README.md

@@ -5,32 +5,53 @@
 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 up -d
+   docker-compose -f docker-compose.middleware.yaml -p dify up -d
    cd ../api
    ```
 2. Copy `.env.example` to `.env`
 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
    ```
-4. Install dependencies
+4. If you use Anaconda, create a new environment and activate it
+   ```bash
+   conda create --name dify python=3.10
+   conda activate dify
+   ```
+5. Install dependencies
    ```bash
    pip install -r requirements.txt
    ```
-5. Run migrate
+6. Run migrate
 
    Before the first launch, migrate the database to the latest version.
 
    ```bash
    flask db upgrade
    ```
-6. Start backend:
+
+   ⚠️ If you encounter problems with jieba, for example
+
+   ```
+   > flask db upgrade
+   Error: While importing 'app', an ImportError was raised:
+   ```
+
+   Please run the following command instead.
+
+   ```
+   pip install -r requirements.txt --upgrade --force-reinstall
+   ```
+
+7. Start backend:
    ```bash
    flask run --host 0.0.0.0 --port=5001 --debug
    ```
-7. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
-8. If you need to debug local async processing, you can run `celery -A app.celery worker`, celery can do dataset importing and other async tasks.
+8. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
+9. If you need to debug local async processing, please start the worker service by running 
+`celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail`.
+The started celery app handles the async tasks, e.g. dataset importing and documents indexing.

api/app.py

@@ -1,40 +1,65 @@
-# -*- coding:utf-8 -*-
 import os
+
 if not os.environ.get("DEBUG") or os.environ.get("DEBUG").lower() != 'true':
     from gevent import monkey
+
     monkey.patch_all()
+    # if os.environ.get("VECTOR_STORE") == 'milvus':
+    import grpc.experimental.gevent
+
+    grpc.experimental.gevent.init_gevent()
 
-import logging
 import json
+import logging
 import threading
+import time
+import warnings
 
-from flask import Flask, request, Response, session
-import flask_login
+from flask import Flask, Response, request
 from flask_cors import CORS
 
-from extensions import ext_session, ext_celery, ext_sentry, ext_redis, ext_login, ext_vector_store, ext_migrate, \
-    ext_database, ext_storage
+from werkzeug.exceptions import Unauthorized
+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
+from services.account_service import AccountService
 
 # DO NOT REMOVE BELOW
-from models import model, account, dataset, web, task
 from events import event_handlers
+from models import account, dataset, model, source, task, tool, tools, web
+
 # DO NOT REMOVE ABOVE
 
-import core
-from config import Config, CloudEditionConfig
-from commands import register_commands
-from models.account import TenantAccountJoin
-from models.model import Account, EndUser, App
 
-import warnings
 warnings.simplefilter("ignore", ResourceWarning)
 
+# fix windows platform
+if os.name == "nt":
+    os.system('tzutil /s "UTC"')
+else:
+    os.environ['TZ'] = 'UTC'
+    time.tzset()
+
 
 class DifyApp(Flask):
     pass
 
+
 # -------------
 # Configuration
 # -------------
@@ -42,6 +67,7 @@ class DifyApp(Flask):
 
 config_type = os.getenv('EDITION', default='SELF_HOSTED')  # ce edition first
 
+
 # ----------------------------
 # Application Factory Function
 # ----------------------------
@@ -66,66 +92,48 @@ def create_app(test_config=None) -> Flask:
     register_blueprints(app)
     register_commands(app)
 
-    core.init_app(app)
-
     return app
 
 
 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)
     ext_redis.init_app(app)
-    ext_vector_store.init_app(app)
     ext_storage.init_app(app)
     ext_celery.init_app(app)
-    ext_session.init_app(app)
     ext_login.init_app(app)
+    ext_mail.init_app(app)
+    ext_hosting_provider.init_app(app)
     ext_sentry.init_app(app)
 
 
 # Flask-Login configuration
-@login_manager.user_loader
-def load_user(user_id):
-    """Load user based on the user_id."""
+@login_manager.request_loader
+def load_user_from_request(request_from_flask_login):
+    """Load user based on the request."""
     if request.blueprint == 'console':
         # Check if the user_id contains a dot, indicating the old format
-        if '.' in user_id:
-            tenant_id, account_id = user_id.split('.')
+        auth_header = request.headers.get('Authorization', '')
+        if not auth_header:
+            auth_token = request.args.get('_token')
+            if not auth_token:
+                raise Unauthorized('Invalid Authorization token.')
         else:
-            account_id = user_id
+            if ' ' not in auth_header:
+                raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
+            auth_scheme, auth_token = auth_header.split(None, 1)
+            auth_scheme = auth_scheme.lower()
+            if auth_scheme != 'bearer':
+                raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
 
-        account = db.session.query(Account).filter(Account.id == account_id).first()
+        decoded = PassportService().verify(auth_token)
+        user_id = decoded.get('user_id')
 
-        if account:
-            workspace_id = session.get('workspace_id')
-            if workspace_id:
-                tenant_account_join = db.session.query(TenantAccountJoin).filter(
-                    TenantAccountJoin.account_id == account.id,
-                    TenantAccountJoin.tenant_id == workspace_id
-                ).first()
-
-                if not tenant_account_join:
-                    tenant_account_join = db.session.query(TenantAccountJoin).filter(
-                        TenantAccountJoin.account_id == account.id).first()
-
-                    if tenant_account_join:
-                        account.current_tenant_id = tenant_account_join.tenant_id
-                        session['workspace_id'] = account.current_tenant_id
-                else:
-                    account.current_tenant_id = workspace_id
-            else:
-                tenant_account_join = db.session.query(TenantAccountJoin).filter(
-                    TenantAccountJoin.account_id == account.id).first()
-                if tenant_account_join:
-                    account.current_tenant_id = tenant_account_join.tenant_id
-                    session['workspace_id'] = account.current_tenant_id
-
-            # Log in the user with the updated user_id
-            flask_login.login_user(account, remember=True)
-
-        return account
+        return AccountService.load_user(user_id)
     else:
         return None
 
@@ -141,17 +149,22 @@ def unauthorized_handler():
 
 # register blueprint routers
 def register_blueprints(app):
+    from controllers.console import bp as console_app_bp
+    from controllers.files import bp as files_bp
     from controllers.service_api import bp as service_api_bp
     from controllers.web import bp as web_bp
-    from controllers.console import bp as console_app_bp
 
+    CORS(service_api_bp,
+         allow_headers=['Content-Type', 'Authorization', 'X-App-Code'],
+         methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH']
+         )
     app.register_blueprint(service_api_bp)
 
     CORS(web_bp,
          resources={
              r"/*": {"origins": app.config['WEB_API_CORS_ALLOW_ORIGINS']}},
          supports_credentials=True,
-         allow_headers=['Content-Type', 'Authorization'],
+         allow_headers=['Content-Type', 'Authorization', 'X-App-Code'],
          methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH'],
          expose_headers=['X-Version', 'X-Env']
          )
@@ -169,12 +182,17 @@ def register_blueprints(app):
 
     app.register_blueprint(console_app_bp)
 
+    CORS(files_bp,
+         allow_headers=['Content-Type'],
+         methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH']
+         )
+    app.register_blueprint(files_bp)
+
 
 # create app
 app = create_app()
 celery = app.extensions["celery"]
 
-
 if app.config['TESTING']:
     print("App is running in TESTING mode")
 
@@ -182,6 +200,7 @@ if app.config['TESTING']:
 @app.after_request
 def after_request(response):
     """Add Version headers to the response."""
+    response.set_cookie('remember_token', '', expires=0)
     response.headers.add('X-Version', app.config['CURRENT_VERSION'])
     response.headers.add('X-Env', app.config['DEPLOY_ENV'])
     return response
@@ -218,5 +237,18 @@ def threads():
     }
 
 
+@app.route('/db-pool-stat')
+def pool_stat():
+    engine = db.engine
+    return {
+        'pool_size': engine.pool.size(),
+        'checked_in_connections': engine.pool.checkedin(),
+        'checked_out_connections': engine.pool.checkedout(),
+        'overflow_connections': engine.pool.overflow(),
+        'connection_timeout': engine.pool.timeout(),
+        'recycle_time': db.engine.pool._recycle
+    }
+
+
 if __name__ == '__main__':
     app.run(host='0.0.0.0', port=5001)

api/commands.py

@@ -1,17 +1,22 @@
-import datetime
+import base64
 import json
-import random
-import string
+import secrets
 
 import click
+from flask import current_app
+from werkzeug.exceptions import NotFound
 
-from libs.password import password_pattern, valid_password, hash_password
-from libs.helper import email as email_validate
+from core.rag.datasource.vdb.vector_factory import Vector
+from core.rag.models.document import Document
 from extensions.ext_database import db
-from models.account import InvitationCode
-from models.model import Account, AppModelConfig, ApiToken, Site, App, RecommendedApp
-import secrets
-import base64
+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, DatasetCollectionBinding, DocumentSegment
+from models.dataset import Document as DatasetDocument
+from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
+from models.provider import Provider, ProviderModel
 
 
 @click.command('reset-password', help='Reset the account password.')
@@ -19,15 +24,22 @@ import base64
 @click.option('--new-password', prompt=True, help='the new password.')
 @click.option('--password-confirm', prompt=True, help='the new password confirm.')
 def reset_password(email, new_password, password_confirm):
+    """
+    Reset password of owner account
+    Only available in SELF_HOSTED mode
+    """
     if str(new_password).strip() != str(password_confirm).strip():
         click.echo(click.style('sorry. The two passwords do not match.', fg='red'))
         return
+
     account = db.session.query(Account). \
         filter(Account.email == email). \
         one_or_none()
+
     if not account:
         click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red'))
         return
+
     try:
         valid_password(new_password)
     except:
@@ -53,15 +65,22 @@ def reset_password(email, new_password, password_confirm):
 @click.option('--new-email', prompt=True, help='the new email.')
 @click.option('--email-confirm', prompt=True, help='the new email confirm.')
 def reset_email(email, new_email, email_confirm):
+    """
+    Replace account email
+    :return:
+    """
     if str(new_email).strip() != str(email_confirm).strip():
         click.echo(click.style('Sorry, new email and confirm email do not match.', fg='red'))
         return
+
     account = db.session.query(Account). \
         filter(Account.email == email). \
         one_or_none()
+
     if not account:
         click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red'))
         return
+
     try:
         email_validate(new_email)
     except:
@@ -74,87 +93,356 @@ def reset_email(email, new_email, email_confirm):
     click.echo(click.style('Congratulations!, email has been reset.', fg='green'))
 
 
-@click.command('generate-invitation-codes', help='Generate invitation codes.')
-@click.option('--batch', help='The batch of invitation codes.')
-@click.option('--count', prompt=True, help='Invitation codes count.')
-def generate_invitation_codes(batch, count):
-    if not batch:
-        now = datetime.datetime.now()
-        batch = now.strftime('%Y%m%d%H%M%S')
-
-    if not count or int(count) <= 0:
-        click.echo(click.style('sorry. the count must be greater than 0.', fg='red'))
+@click.command('reset-encrypt-key-pair', help='Reset the asymmetric key pair of workspace for encrypt LLM credentials. '
+                                              'After the reset, all LLM credentials will become invalid, '
+                                              'requiring re-entry.'
+                                              'Only support SELF_HOSTED mode.')
+@click.confirmation_option(prompt=click.style('Are you sure you want to reset encrypt key pair?'
+                                              ' this operation cannot be rolled back!', fg='red'))
+def reset_encrypt_key_pair():
+    """
+    Reset the encrypted key pair of workspace for encrypt LLM credentials.
+    After the reset, all LLM credentials will become invalid, requiring re-entry.
+    Only support SELF_HOSTED mode.
+    """
+    if current_app.config['EDITION'] != 'SELF_HOSTED':
+        click.echo(click.style('Sorry, only support SELF_HOSTED mode.', fg='red'))
         return
 
-    count = int(count)
+    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
 
-    click.echo('Start generate {} invitation codes for batch {}.'.format(count, batch))
+        tenant.encrypt_public_key = generate_key_pair(tenant.id)
 
-    codes = ''
-    for i in range(count):
-        code = generate_invitation_code()
-        invitation_code = InvitationCode(
-            code=code,
-            batch=batch
-        )
-        db.session.add(invitation_code)
-        click.echo(code)
+        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()
 
-        codes += code + "\n"
-    db.session.commit()
-
-    filename = 'storage/invitation-codes-{}.txt'.format(batch)
-
-    with open(filename, 'w') as f:
-        f.write(codes)
-
-    click.echo(click.style(
-        'Congratulations! Generated {} invitation codes for batch {} and saved to the file \'{}\''.format(count, batch,
-                                                                                                          filename),
-        fg='green'))
+        click.echo(click.style('Congratulations! '
+                               'the asymmetric key pair of workspace {} has been reset.'.format(tenant.id), fg='green'))
 
 
-def generate_invitation_code():
-    code = generate_upper_string()
-    while db.session.query(InvitationCode).filter(InvitationCode.code == code).count() > 0:
-        code = generate_upper_string()
-
-    return code
+@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 generate_upper_string():
-    letters_digits = string.ascii_uppercase + string.digits
-    result = ""
-    for i in range(8):
-        result += random.choice(letters_digits)
+def migrate_annotation_vector_database():
+    """
+    Migrate annotation datas to target vector database .
+    """
+    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
 
-    return result
+        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'))
 
 
-@click.command('gen-recommended-apps', help='Number of records to generate')
-def generate_recommended_apps():
-    print('Generating recommended app data...')
-    apps = App.query.filter(App.is_public == True).all()
-    for app in apps:
-        recommended_app = RecommendedApp(
-            app_id=app.id,
-            description={
-                'en': 'Description for ' + app.name,
-                'zh': '描述 ' + app.name
-            },
-            copyright='Copyright ' + str(random.randint(1990, 2020)),
-            privacy_policy='https://privacypolicy.example.com',
-            category=random.choice(['Games', 'News', 'Music', 'Sports']),
-            position=random.randint(1, 100),
-            install_count=random.randint(100, 100000)
-        )
-        db.session.add(recommended_app)
-    db.session.commit()
-    print('Done!')
+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:
+            datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \
+                .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50)
+        except NotFound:
+            break
+
+        page += 1
+        for dataset in datasets:
+            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)
+
+                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)
+                elif vector_type == "relyt":
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": 'relyt',
+                        "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'))
+
+
+@click.command('convert-to-agent-apps', help='Convert Agent Assistant to Agent App.')
+def convert_to_agent_apps():
+    """
+    Convert Agent Assistant to Agent App.
+    """
+    click.echo(click.style('Start convert to agent apps.', fg='green'))
+
+    proceeded_app_ids = []
+
+    while True:
+        # fetch first 1000 apps
+        sql_query = """SELECT a.id AS id FROM apps a
+            INNER JOIN app_model_configs am ON a.app_model_config_id=am.id
+            WHERE a.mode = 'chat' 
+            AND am.agent_mode is not null 
+            AND (
+				am.agent_mode like '%"strategy": "function_call"%' 
+                OR am.agent_mode  like '%"strategy": "react"%'
+			) 
+            AND (
+				am.agent_mode like '{"enabled": true%' 
+                OR am.agent_mode like '{"max_iteration": %'
+			) ORDER BY a.created_at DESC LIMIT 1000
+        """
+
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query))
+
+            apps = []
+            for i in rs:
+                app_id = str(i.id)
+                if app_id not in proceeded_app_ids:
+                    proceeded_app_ids.append(app_id)
+                    app = db.session.query(App).filter(App.id == app_id).first()
+                    apps.append(app)
+
+            if len(apps) == 0:
+                break
+
+        for app in apps:
+            click.echo('Converting app: {}'.format(app.id))
+
+            try:
+                app.mode = AppMode.AGENT_CHAT.value
+                db.session.commit()
+
+                # update conversation mode to agent
+                db.session.query(Conversation).filter(Conversation.app_id == app.id).update(
+                    {Conversation.mode: AppMode.AGENT_CHAT.value}
+                )
+
+                db.session.commit()
+                click.echo(click.style('Converted app: {}'.format(app.id), fg='green'))
+            except Exception as e:
+                click.echo(
+                    click.style('Convert app error: {} {}'.format(e.__class__.__name__,
+                                                                  str(e)), fg='red'))
+
+    click.echo(click.style('Congratulations! Converted {} agent apps.'.format(len(proceeded_app_ids)), fg='green'))
 
 
 def register_commands(app):
     app.cli.add_command(reset_password)
     app.cli.add_command(reset_email)
-    app.cli.add_command(generate_invitation_codes)
-    app.cli.add_command(generate_recommended_apps)
+    app.cli.add_command(reset_encrypt_key_pair)
+    app.cli.add_command(vdb_migrate)
+    app.cli.add_command(convert_to_agent_apps)

api/config.py

@@ -1,53 +1,74 @@
-# -*- coding:utf-8 -*-
 import os
-from datetime import timedelta
 
 import dotenv
 
-from extensions.ext_database import db
-from extensions.ext_redis import redis_client
-
 dotenv.load_dotenv()
 
 DEFAULTS = {
-    'COOKIE_HTTPONLY': 'True',
-    'COOKIE_SECURE': 'True',
-    'COOKIE_SAMESITE': 'None',
     'DB_USERNAME': 'postgres',
     'DB_PASSWORD': '',
     'DB_HOST': 'localhost',
     'DB_PORT': '5432',
     'DB_DATABASE': 'dify',
+    'DB_CHARSET': '',
     'REDIS_HOST': 'localhost',
     'REDIS_PORT': '6379',
     'REDIS_DB': '0',
     'REDIS_USE_SSL': 'False',
-    'SESSION_REDIS_HOST': 'localhost',
-    'SESSION_REDIS_PORT': '6379',
-    'SESSION_REDIS_DB': '2',
-    'SESSION_REDIS_USE_SSL': 'False',
     'OAUTH_REDIRECT_PATH': '/console/api/oauth/authorize',
     'OAUTH_REDIRECT_INDEX_PATH': '/',
-    'CONSOLE_URL': 'https://cloud.dify.ai',
-    'API_URL': 'https://api.dify.ai',
-    'APP_URL': 'https://udify.app',
+    'CONSOLE_WEB_URL': 'https://cloud.dify.ai',
+    'CONSOLE_API_URL': 'https://cloud.dify.ai',
+    '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',
-    'SESSION_TYPE': 'sqlalchemy',
-    'SESSION_PERMANENT': 'True',
-    'SESSION_USE_SIGNER': 'True',
     'DEPLOY_ENV': 'PRODUCTION',
     'SQLALCHEMY_POOL_SIZE': 30,
+    'SQLALCHEMY_MAX_OVERFLOW': 10,
+    'SQLALCHEMY_POOL_RECYCLE': 3600,
     'SQLALCHEMY_ECHO': 'False',
     'SENTRY_TRACES_SAMPLE_RATE': 1.0,
     'SENTRY_PROFILES_SAMPLE_RATE': 1.0,
     'WEAVIATE_GRPC_ENABLED': 'True',
+    'WEAVIATE_BATCH_SIZE': 100,
+    'QDRANT_CLIENT_TIMEOUT': 20,
     'CELERY_BACKEND': 'database',
-    'PDF_PREVIEW': 'True',
     'LOG_LEVEL': 'INFO',
-    'DISABLE_PROVIDER_CONFIG_VALIDATION': 'False',
-    'DEFAULT_LLM_PROVIDER': 'openai'
+    '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-turbo-2024-04-09,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,
+    'HOSTED_ANTHROPIC_TRIAL_ENABLED': 'False',
+    'HOSTED_ANTHROPIC_PAID_ENABLED': 'False',
+    'HOSTED_MODERATION_ENABLED': 'False',
+    'HOSTED_MODERATION_PROVIDERS': '',
+    'HOSTED_FETCH_APP_TEMPLATES_MODE': 'remote',
+    'HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN': 'https://tmpl.dify.ai',
+    'CLEAN_DAY_SETTING': 30,
+    'UPLOAD_FILE_SIZE_LIMIT': 15,
+    'UPLOAD_FILE_BATCH_LIMIT': 5,
+    'UPLOAD_IMAGE_FILE_SIZE_LIMIT': 10,
+    'OUTPUT_MODERATION_BUFFER_SIZE': 300,
+    'MULTIMODAL_SEND_IMAGE_FORMAT': 'base64',
+    'INVITE_EXPIRY_HOURS': 72,
+    'BILLING_ENABLED': 'False',
+    'CAN_REPLACE_LOGO': 'False',
+    'ETL_TYPE': 'dify',
+    'KEYWORD_STORE': 'jieba',
+    'BATCH_UPLOAD_LIMIT': 20,
+    'CODE_EXECUTION_ENDPOINT': 'http://sandbox:8194',
+    'CODE_EXECUTION_API_KEY': 'dify-sandbox',
+    'TOOL_ICON_CACHE_MAX_AGE': 3600,
+    'MILVUS_DATABASE': 'default',
+    'KEYWORD_DATA_SOURCE_TYPE': 'database',
 }
 
 
@@ -56,7 +77,8 @@ def get_env(key):
 
 
 def get_bool_env(key):
-    return get_env(key).lower() == 'true'
+    value = get_env(key)
+    return value.lower() == 'true' if value is not None else False
 
 
 def get_cors_allow_origins(env, default):
@@ -74,17 +96,36 @@ class Config:
     """Application configuration class."""
 
     def __init__(self):
-        # app settings
-        self.CONSOLE_URL = get_env('CONSOLE_URL')
-        self.API_URL = get_env('API_URL')
-        self.APP_URL = get_env('APP_URL')
-        self.CURRENT_VERSION = "0.2.0"
+        # ------------------------
+        # General Configurations.
+        # ------------------------
+        self.CURRENT_VERSION = "0.6.3"
         self.COMMIT_SHA = get_env('COMMIT_SHA')
         self.EDITION = "SELF_HOSTED"
         self.DEPLOY_ENV = get_env('DEPLOY_ENV')
         self.TESTING = False
         self.LOG_LEVEL = get_env('LOG_LEVEL')
-        self.PDF_PREVIEW = get_bool_env('PDF_PREVIEW')
+
+        # The backend URL prefix of the console API.
+        # used to concatenate the login authorization callback or notion integration callback.
+        self.CONSOLE_API_URL = get_env('CONSOLE_API_URL')
+
+        # The front-end URL prefix of the console web.
+        # used to concatenate some front-end addresses and for CORS configuration use.
+        self.CONSOLE_WEB_URL = get_env('CONSOLE_WEB_URL')
+
+        # WebApp Url prefix.
+        # used to display WebAPP API Base Url to the front-end.
+        self.APP_WEB_URL = get_env('APP_WEB_URL')
+
+        # Service API Url prefix.
+        # used to display Service API Base Url to the front-end.
+        self.SERVICE_API_URL = get_env('SERVICE_API_URL')
+
+        # File preview or download Url prefix.
+        # used to display File preview or download Url to the front-end or as Multi-model inputs;
+        # Url is signed and has expiration time.
+        self.FILES_URL = get_env('FILES_URL') if get_env('FILES_URL') else self.CONSOLE_API_URL
 
         # Your App secret key will be used for securely signing the session cookie
         # Make sure you are changing this key for your deployment with a strong key.
@@ -92,21 +133,37 @@ class Config:
         # Alternatively you can set it with `SECRET_KEY` environment variable.
         self.SECRET_KEY = get_env('SECRET_KEY')
 
-        # cookie settings
-        self.REMEMBER_COOKIE_HTTPONLY = get_bool_env('COOKIE_HTTPONLY')
-        self.SESSION_COOKIE_HTTPONLY = get_bool_env('COOKIE_HTTPONLY')
-        self.REMEMBER_COOKIE_SAMESITE = get_env('COOKIE_SAMESITE')
-        self.SESSION_COOKIE_SAMESITE = get_env('COOKIE_SAMESITE')
-        self.REMEMBER_COOKIE_SECURE = get_bool_env('COOKIE_SECURE')
-        self.SESSION_COOKIE_SECURE = get_bool_env('COOKIE_SECURE')
-        self.PERMANENT_SESSION_LIFETIME = timedelta(days=7)
+        # cors settings
+        self.CONSOLE_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
+            'CONSOLE_CORS_ALLOW_ORIGINS', self.CONSOLE_WEB_URL)
+        self.WEB_API_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
+            'WEB_API_CORS_ALLOW_ORIGINS', '*')
 
-        # session settings, only support sqlalchemy, redis
-        self.SESSION_TYPE = get_env('SESSION_TYPE')
-        self.SESSION_PERMANENT = get_bool_env('SESSION_PERMANENT')
-        self.SESSION_USE_SIGNER = get_bool_env('SESSION_USE_SIGNER')
+        # check update url
+        self.CHECK_UPDATE_URL = get_env('CHECK_UPDATE_URL')
 
-        # redis settings
+        # ------------------------
+        # Database Configurations.
+        # ------------------------
+        db_credentials = {
+            key: get_env(key) for key in
+            ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE', 'DB_CHARSET']
+        }
+
+        db_extras = f"?client_encoding={db_credentials['DB_CHARSET']}" if db_credentials['DB_CHARSET'] else ""
+
+        self.SQLALCHEMY_DATABASE_URI = f"postgresql://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}{db_extras}"
+        self.SQLALCHEMY_ENGINE_OPTIONS = {
+            'pool_size': int(get_env('SQLALCHEMY_POOL_SIZE')),
+            'max_overflow': int(get_env('SQLALCHEMY_MAX_OVERFLOW')),
+            'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE'))
+        }
+
+        self.SQLALCHEMY_ECHO = get_bool_env('SQLALCHEMY_ECHO')
+
+        # ------------------------
+        # Redis Configurations.
+        # ------------------------
         self.REDIS_HOST = get_env('REDIS_HOST')
         self.REDIS_PORT = get_env('REDIS_PORT')
         self.REDIS_USERNAME = get_env('REDIS_USERNAME')
@@ -114,15 +171,18 @@ class Config:
         self.REDIS_DB = get_env('REDIS_DB')
         self.REDIS_USE_SSL = get_bool_env('REDIS_USE_SSL')
 
-        # session redis settings
-        self.SESSION_REDIS_HOST = get_env('SESSION_REDIS_HOST')
-        self.SESSION_REDIS_PORT = get_env('SESSION_REDIS_PORT')
-        self.SESSION_REDIS_USERNAME = get_env('SESSION_REDIS_USERNAME')
-        self.SESSION_REDIS_PASSWORD = get_env('SESSION_REDIS_PASSWORD')
-        self.SESSION_REDIS_DB = get_env('SESSION_REDIS_DB')
-        self.SESSION_REDIS_USE_SSL = get_bool_env('SESSION_REDIS_USE_SSL')
+        # ------------------------
+        # Celery worker Configurations.
+        # ------------------------
+        self.CELERY_BROKER_URL = get_env('CELERY_BROKER_URL')
+        self.CELERY_BACKEND = get_env('CELERY_BACKEND')
+        self.CELERY_RESULT_BACKEND = 'db+{}'.format(self.SQLALCHEMY_DATABASE_URI) \
+            if self.CELERY_BACKEND == 'database' else self.CELERY_BROKER_URL
+        self.BROKER_USE_SSL = self.CELERY_BROKER_URL.startswith('rediss://')
 
-        # storage settings
+        # ------------------------
+        # File Storage Configurations.
+        # ------------------------
         self.STORAGE_TYPE = get_env('STORAGE_TYPE')
         self.STORAGE_LOCAL_PATH = get_env('STORAGE_LOCAL_PATH')
         self.S3_ENDPOINT = get_env('S3_ENDPOINT')
@@ -130,61 +190,143 @@ 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 settings, only support weaviate, qdrant
+        # ------------------------
+        # Vector Store Configurations.
+        # Currently, only support: qdrant, milvus, zilliz, weaviate, relyt
+        # ------------------------
         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')
+        self.QDRANT_CLIENT_TIMEOUT = get_env('QDRANT_CLIENT_TIMEOUT')
+
+        # milvus / zilliz setting
+        self.MILVUS_HOST = get_env('MILVUS_HOST')
+        self.MILVUS_PORT = get_env('MILVUS_PORT')
+        self.MILVUS_USER = get_env('MILVUS_USER')
+        self.MILVUS_PASSWORD = get_env('MILVUS_PASSWORD')
+        self.MILVUS_SECURE = get_env('MILVUS_SECURE')
+        self.MILVUS_DATABASE = get_env('MILVUS_DATABASE')
 
         # weaviate settings
         self.WEAVIATE_ENDPOINT = get_env('WEAVIATE_ENDPOINT')
         self.WEAVIATE_API_KEY = get_env('WEAVIATE_API_KEY')
         self.WEAVIATE_GRPC_ENABLED = get_bool_env('WEAVIATE_GRPC_ENABLED')
+        self.WEAVIATE_BATCH_SIZE = int(get_env('WEAVIATE_BATCH_SIZE'))
 
-        # qdrant settings
-        self.QDRANT_URL = get_env('QDRANT_URL')
-        self.QDRANT_API_KEY = get_env('QDRANT_API_KEY')
+        # relyt settings
+        self.RELYT_HOST = get_env('RELYT_HOST')
+        self.RELYT_PORT = get_env('RELYT_PORT')
+        self.RELYT_USER = get_env('RELYT_USER')
+        self.RELYT_PASSWORD = get_env('RELYT_PASSWORD')
+        self.RELYT_DATABASE = get_env('RELYT_DATABASE')
 
-        # cors settings
-        self.CONSOLE_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
-            'CONSOLE_CORS_ALLOW_ORIGINS', self.CONSOLE_URL)
-        self.WEB_API_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
-            'WEB_API_CORS_ALLOW_ORIGINS', '*')
+        # ------------------------
+        # Mail Configurations.
+        # ------------------------
+        self.MAIL_TYPE = get_env('MAIL_TYPE')
+        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.
+        # ------------------------
+        self.INVITE_EXPIRY_HOURS = int(get_env('INVITE_EXPIRY_HOURS'))
 
-        # sentry settings
+        # ------------------------
+        # Sentry Configurations.
+        # ------------------------
         self.SENTRY_DSN = get_env('SENTRY_DSN')
         self.SENTRY_TRACES_SAMPLE_RATE = float(get_env('SENTRY_TRACES_SAMPLE_RATE'))
         self.SENTRY_PROFILES_SAMPLE_RATE = float(get_env('SENTRY_PROFILES_SAMPLE_RATE'))
 
-        # check update url
-        self.CHECK_UPDATE_URL = get_env('CHECK_UPDATE_URL')
+        # ------------------------
+        # Business Configurations.
+        # ------------------------
 
-        # database settings
-        db_credentials = {
-            key: get_env(key) for key in
-            ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE']
-        }
+        # multi model send image format, support base64, url, default is base64
+        self.MULTIMODAL_SEND_IMAGE_FORMAT = get_env('MULTIMODAL_SEND_IMAGE_FORMAT')
 
-        self.SQLALCHEMY_DATABASE_URI = f"postgresql://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}"
-        self.SQLALCHEMY_ENGINE_OPTIONS = {'pool_size': int(get_env('SQLALCHEMY_POOL_SIZE'))}
+        # Dataset Configurations.
+        self.CLEAN_DAY_SETTING = get_env('CLEAN_DAY_SETTING')
 
-        self.SQLALCHEMY_ECHO = get_bool_env('SQLALCHEMY_ECHO')
+        # File upload Configurations.
+        self.UPLOAD_FILE_SIZE_LIMIT = int(get_env('UPLOAD_FILE_SIZE_LIMIT'))
+        self.UPLOAD_FILE_BATCH_LIMIT = int(get_env('UPLOAD_FILE_BATCH_LIMIT'))
+        self.UPLOAD_IMAGE_FILE_SIZE_LIMIT = int(get_env('UPLOAD_IMAGE_FILE_SIZE_LIMIT'))
 
-        # celery settings
-        self.CELERY_BROKER_URL = get_env('CELERY_BROKER_URL')
-        self.CELERY_BACKEND = get_env('CELERY_BACKEND')
-        self.CELERY_RESULT_BACKEND = 'db+{}'.format(self.SQLALCHEMY_DATABASE_URI) \
-            if self.CELERY_BACKEND == 'database' else self.CELERY_BROKER_URL
-        self.BROKER_USE_SSL = self.CELERY_BROKER_URL.startswith('rediss://')
+        # Moderation in app Configurations.
+        self.OUTPUT_MODERATION_BUFFER_SIZE = int(get_env('OUTPUT_MODERATION_BUFFER_SIZE'))
 
-        # hosted provider credentials
-        self.OPENAI_API_KEY = get_env('OPENAI_API_KEY')
+        # Notion integration setting
+        self.NOTION_CLIENT_ID = get_env('NOTION_CLIENT_ID')
+        self.NOTION_CLIENT_SECRET = get_env('NOTION_CLIENT_SECRET')
+        self.NOTION_INTEGRATION_TYPE = get_env('NOTION_INTEGRATION_TYPE')
+        self.NOTION_INTERNAL_SECRET = get_env('NOTION_INTERNAL_SECRET')
+        self.NOTION_INTEGRATION_TOKEN = get_env('NOTION_INTEGRATION_TOKEN')
 
-        # By default it is False
-        # You could disable it for compatibility with certain OpenAPI providers
-        self.DISABLE_PROVIDER_CONFIG_VALIDATION = get_bool_env('DISABLE_PROVIDER_CONFIG_VALIDATION')
+        # ------------------------
+        # Platform Configurations.
+        # ------------------------
+        self.HOSTED_OPENAI_API_KEY = get_env('HOSTED_OPENAI_API_KEY')
+        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')
 
-        # For temp use only
-        # set default LLM provider, default is 'openai', support `azure_openai`
-        self.DEFAULT_LLM_PROVIDER = get_env('DEFAULT_LLM_PROVIDER')
+        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')
+        self.HOSTED_AZURE_OPENAI_API_BASE = get_env('HOSTED_AZURE_OPENAI_API_BASE')
+        self.HOSTED_AZURE_OPENAI_QUOTA_LIMIT = int(get_env('HOSTED_AZURE_OPENAI_QUOTA_LIMIT'))
+
+        self.HOSTED_ANTHROPIC_API_BASE = get_env('HOSTED_ANTHROPIC_API_BASE')
+        self.HOSTED_ANTHROPIC_API_KEY = get_env('HOSTED_ANTHROPIC_API_KEY')
+        self.HOSTED_ANTHROPIC_TRIAL_ENABLED = get_bool_env('HOSTED_ANTHROPIC_TRIAL_ENABLED')
+        self.HOSTED_ANTHROPIC_QUOTA_LIMIT = int(get_env('HOSTED_ANTHROPIC_QUOTA_LIMIT'))
+        self.HOSTED_ANTHROPIC_PAID_ENABLED = get_bool_env('HOSTED_ANTHROPIC_PAID_ENABLED')
+
+        self.HOSTED_MINIMAX_ENABLED = get_bool_env('HOSTED_MINIMAX_ENABLED')
+        self.HOSTED_SPARK_ENABLED = get_bool_env('HOSTED_SPARK_ENABLED')
+        self.HOSTED_ZHIPUAI_ENABLED = get_bool_env('HOSTED_ZHIPUAI_ENABLED')
+
+        self.HOSTED_MODERATION_ENABLED = get_bool_env('HOSTED_MODERATION_ENABLED')
+        self.HOSTED_MODERATION_PROVIDERS = get_env('HOSTED_MODERATION_PROVIDERS')
+
+        # fetch app templates mode, remote, builtin, db(only for dify SaaS), default: remote
+        self.HOSTED_FETCH_APP_TEMPLATES_MODE = get_env('HOSTED_FETCH_APP_TEMPLATES_MODE')
+        self.HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN = get_env('HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN')
+
+        self.ETL_TYPE = get_env('ETL_TYPE')
+        self.UNSTRUCTURED_API_URL = get_env('UNSTRUCTURED_API_URL')
+        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.CODE_EXECUTION_ENDPOINT = get_env('CODE_EXECUTION_ENDPOINT')
+        self.CODE_EXECUTION_API_KEY = get_env('CODE_EXECUTION_API_KEY')
+
+        self.API_COMPRESSION_ENABLED = get_bool_env('API_COMPRESSION_ENABLED')
+        self.TOOL_ICON_CACHE_MAX_AGE = get_env('TOOL_ICON_CACHE_MAX_AGE')
+
+        self.KEYWORD_DATA_SOURCE_TYPE = get_env('KEYWORD_DATA_SOURCE_TYPE')
 
 class CloudEditionConfig(Config):
 
@@ -198,19 +340,3 @@ class CloudEditionConfig(Config):
         self.GOOGLE_CLIENT_ID = get_env('GOOGLE_CLIENT_ID')
         self.GOOGLE_CLIENT_SECRET = get_env('GOOGLE_CLIENT_SECRET')
         self.OAUTH_REDIRECT_PATH = get_env('OAUTH_REDIRECT_PATH')
-
-
-class TestConfig(Config):
-
-    def __init__(self):
-        super().__init__()
-
-        self.EDITION = "SELF_HOSTED"
-        self.TESTING = True
-
-        db_credentials = {
-            key: get_env(key) for key in ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT']
-        }
-
-        # use a different database for testing: dify_test
-        self.SQLALCHEMY_DATABASE_URI = f"postgresql://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/dify_test"

api/constants/languages.py

@@ -0,0 +1,27 @@
+
+
+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',
+    'zh-Hans': 'Asia/Shanghai',
+    'pt-BR': 'America/Sao_Paulo',
+    'es-ES': 'Europe/Madrid',
+    'fr-FR': 'Europe/Paris',
+    'de-DE': 'Europe/Berlin',
+    'ja-JP': 'Asia/Tokyo',
+    '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
+
+    error = ('{lang} is not a valid language.'
+             .format(lang=lang))
+    raise ValueError(error)

api/constants/model_template.py

@@ -1,322 +1,86 @@
 import json
 
-from models.model import AppModelConfig, App
+from models.model import AppMode
 
-model_templates = {
-    # completion default mode
-    'completion_default': {
+default_app_templates = {
+    # workflow default mode
+    AppMode.WORKFLOW: {
         'app': {
-            'mode': 'completion',
+            'mode': AppMode.WORKFLOW.value,
             'enable_site': True,
-            'enable_api': True,
-            'is_demo': False,
-            'api_rpm': 0,
-            'api_rph': 0,
-            'status': 'normal'
+            'enable_api': True
+        }
+    },
+
+    # completion default mode
+    AppMode.COMPLETION: {
+        'app': {
+            'mode': AppMode.COMPLETION.value,
+            'enable_site': True,
+            'enable_api': True
         },
         'model_config': {
-            'provider': 'openai',
-            'model_id': 'text-davinci-003',
-            'configs': {
-                'prompt_template': '',
-                'prompt_variables': [],
-                'completion_params': {
-                    'max_token': 512,
-                    'temperature': 1,
-                    'top_p': 1,
-                    'presence_penalty': 0,
-                    'frequency_penalty': 0,
-                }
-            },
-            'model': json.dumps({
+            'model': {
                 "provider": "openai",
-                "name": "text-davinci-003",
-                "completion_params": {
-                    "max_tokens": 512,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0
+                "name": "gpt-4",
+                "mode": "chat",
+                "completion_params": {}
+            },
+            'user_input_form': json.dumps([
+                {
+                    "paragraph": {
+                        "label": "Query",
+                        "variable": "query",
+                        "required": True,
+                        "default": ""
+                    }
                 }
-            })
-        }
+            ]),
+            'pre_prompt': '{{query}}'
+        },
+
     },
 
     # chat default mode
-    'chat_default': {
+    AppMode.CHAT: {
         'app': {
-            'mode': 'chat',
+            'mode': AppMode.CHAT.value,
             'enable_site': True,
-            'enable_api': True,
-            'is_demo': False,
-            'api_rpm': 0,
-            'api_rph': 0,
-            'status': 'normal'
+            'enable_api': True
         },
         '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,
-                }
-            },
-            'model': json.dumps({
+            'model': {
                 "provider": "openai",
-                "name": "gpt-3.5-turbo",
-                "completion_params": {
-                    "max_tokens": 512,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0
-                }
-            })
+                "name": "gpt-4",
+                "mode": "chat",
+                "completion_params": {}
+            }
         }
     },
-}
 
-
-demo_model_templates = {
-    'en-US': [
-        {
-            'name': 'Translation Assistant',
-            'icon': '',
-            'icon_background': '',
-            'description': 'A multilingual translator that provides translation capabilities in multiple languages, translating user input into the language they need.',
-            'mode': 'completion',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='text-davinci-003',
-                configs={
-                    'prompt_template': "Please translate the following text into {{target_language}}:\n",
-                    'prompt_variables': [
-                        {
-                            "key": "target_language",
-                            "name": "Target Language",
-                            "description": "The language you want to translate into.",
-                            "type": "select",
-                            "default": "Chinese",
-                            '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="Please translate the following text into {{target_language}}:\n",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "text-davinci-003",
-                    "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": "Target Language",
-                            "variable": "target_language",
-                            "description": "The language you want to translate into.",
-                            "default": "Chinese",
-                            "required": True,
-                            'options': [
-                                'Chinese',
-                                'English',
-                                'Japanese',
-                                'French',
-                                'Russian',
-                                'German',
-                                'Spanish',
-                                'Korean',
-                                'Italian',
-                            ]
-                        }
-                    }
-                ])
-            )
-        },
-        {
-            'name': 'AI Front-end Interviewer',
-            'icon': '',
-            'icon_background': '',
-            'description': 'A simulated front-end interviewer that tests the skill level of front-end development through questioning.',
-            'mode': 'chat',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='gpt-3.5-turbo',
-                configs={
-                    'introduction': 'Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
-                    'prompt_template': "You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\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='Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
-                suggested_questions=None,
-                pre_prompt="You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo",
-                    "completion_params": {
-                        "max_tokens": 300,
-                        "temperature": 0.8,
-                        "top_p": 0.9,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=None
-            )
+    # advanced-chat default mode
+    AppMode.ADVANCED_CHAT: {
+        'app': {
+            'mode': AppMode.ADVANCED_CHAT.value,
+            'enable_site': True,
+            'enable_api': True
         }
-    ],
+    },
 
-    'zh-Hans': [
-        {
-            'name': '翻译助手',
-            'icon': '',
-            'icon_background': '',
-            'description': '一个多语言翻译器，提供多种语言翻译能力，将用户输入的文本翻译成他们需要的语言。',
-            'mode': 'completion',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='text-davinci-003',
-                configs={
-                    'prompt_template': "请将以下文本翻译为{{target_language}}:\n",
-                    'prompt_variables': [
-                        {
-                            "key": "target_language",
-                            "name": "目标语言",
-                            "description": "翻译的目标语言",
-                            "type": "select",
-                            "default": "中文",
-                            "options": [
-                                "中文",
-                                "英文",
-                                "日语",
-                                "法语",
-                                "俄语",
-                                "德语",
-                                "西班牙语",
-                                "韩语",
-                                "意大利语",
-                            ]
-                        }
-                    ],
-                    '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="请将以下文本翻译为{{target_language}}:\n",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "text-davinci-003",
-                    "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": "目标语言",
-                            "variable": "target_language",
-                            "description": "翻译的目标语言",
-                            "default": "中文",
-                            "required": True,
-                            'options': [
-                                "中文",
-                                "英文",
-                                "日语",
-                                "法语",
-                                "俄语",
-                                "德语",
-                                "西班牙语",
-                                "韩语",
-                                "意大利语",
-                            ]
-                        }
-                    }
-                ])
-            )
+    # agent-chat default mode
+    AppMode.AGENT_CHAT: {
+        'app': {
+            'mode': AppMode.AGENT_CHAT.value,
+            'enable_site': True,
+            'enable_api': True
         },
-        {
-            'name': 'AI 前端面试官',
-            'icon': '',
-            'icon_background': '',
-            'description': '一个模拟的前端面试官，通过提问的方式对前端开发的技能水平进行检验。',
-            'mode': 'chat',
-            'model_config': AppModelConfig(
-                provider='openai',
-                model_id='gpt-3.5-turbo',
-                configs={
-                    'introduction': '你好，欢迎来参加我们的面试，我是这家科技公司的面试官，我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题，请您尽可能详尽地回答。',
-                    'prompt_template': "你将扮演一个科技公司的面试官，考察用户作为候选人的 Web 前端开发水平，提出 5-10 个犀利的技术问题。\n\n请注意：\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题，而不要试图纠正候选人的错误；\n- 如果你认为用户连续几次回答的都不对，就少问一点；\n- 问完最后一个问题后，你可以问这样一个问题：上一份工作为什么离职？用户回答该问题后，请表示理解与支持。\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='你好，欢迎来参加我们的面试，我是这家科技公司的面试官，我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题，请您尽可能详尽地回答。',
-                suggested_questions=None,
-                pre_prompt="你将扮演一个科技公司的面试官，考察用户作为候选人的 Web 前端开发水平，提出 5-10 个犀利的技术问题。\n\n请注意：\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题，而不要试图纠正候选人的错误；\n- 如果你认为用户连续几次回答的都不对，就少问一点；\n- 问完最后一个问题后，你可以问这样一个问题：上一份工作为什么离职？用户回答该问题后，请表示理解与支持。\n",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo",
-                    "completion_params": {
-                        "max_tokens": 300,
-                        "temperature": 0.8,
-                        "top_p": 0.9,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=None
-            )
+        'model_config': {
+            'model': {
+                "provider": "openai",
+                "name": "gpt-4",
+                "mode": "chat",
+                "completion_params": {}
+            }
         }
-    ],
+    }
 }

api/controllers/console/__init__.py

@@ -1,24 +1,22 @@
 from flask import Blueprint
-
 from libs.external_api import ExternalApi
 
 bp = Blueprint('console', __name__, url_prefix='/console/api')
 api = ExternalApi(bp)
 
 # Import other controllers
-from . import setup, version, apikey, admin
-
+from . import admin, apikey, extension, feature, setup, version, ping
 # Import app controllers
-from .app import app, site, completion, model_config, statistic, conversation, message
-
+from .app import (advanced_prompt_template, annotation, app, audio, completion, conversation, generator, message,
+                  model_config, site, statistic, workflow, workflow_run, workflow_app_log, workflow_statistic, agent)
 # Import auth controllers
-from .auth import login, oauth
-
+from .auth import activate, data_source_oauth, login, oauth
+# Import billing controllers
+from .billing import billing
 # Import datasets controllers
-from .datasets import datasets, datasets_document, datasets_segments, file, hit_testing
-
-# Import workspace controllers
-from .workspace import workspace, members, providers, account
-
+from .datasets import data_source, datasets, datasets_document, datasets_segments, file, hit_testing
 # Import explore controllers
-from .explore import installed_app, recommended_app, completion, conversation, message, parameter, saved_message
+from .explore import (audio, completion, conversation, installed_app, message, parameter, recommended_app,
+                      saved_message, workflow)
+# Import workspace controllers
+from .workspace import account, members, model_providers, models, tool_providers, workspace

api/controllers/console/admin.py

@@ -5,10 +5,11 @@ 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 models.model import RecommendedApp, App, InstalledApp
+from models.model import App, InstalledApp, RecommendedApp
 
 
 def admin_required(view):
@@ -44,39 +45,40 @@ class InsertExploreAppListApi(Resource):
     def post(self):
         parser = reqparse.RequestParser()
         parser.add_argument('app_id', type=str, required=True, nullable=False, location='json')
-        parser.add_argument('desc_en', type=str, location='json')
-        parser.add_argument('desc_zh', type=str, location='json')
+        parser.add_argument('desc', type=str, location='json')
         parser.add_argument('copyright', type=str, location='json')
         parser.add_argument('privacy_policy', type=str, location='json')
+        parser.add_argument('language', type=supported_language, required=True, nullable=False, location='json')
         parser.add_argument('category', type=str, required=True, nullable=False, location='json')
         parser.add_argument('position', type=int, required=True, nullable=False, location='json')
         args = parser.parse_args()
 
         app = App.query.filter(App.id == args['app_id']).first()
         if not app:
-            raise NotFound('App not found')
+            raise NotFound(f'App \'{args["app_id"]}\' is not found')
 
         site = app.site
         if not site:
-            desc = args['desc_en']
-            copy_right = args['copyright']
-            privacy_policy = args['privacy_policy']
+            desc = args['desc'] if args['desc'] else ''
+            copy_right = args['copyright'] if args['copyright'] else ''
+            privacy_policy = args['privacy_policy'] if args['privacy_policy'] else ''
         else:
-            desc = site.description if not args['desc_en'] else args['desc_en']
-            copy_right = site.copyright if not args['copyright'] else args['copyright']
-            privacy_policy = site.privacy_policy if not args['privacy_policy'] else args['privacy_policy']
+            desc = site.description if site.description else \
+                args['desc'] if args['desc'] else ''
+            copy_right = site.copyright if site.copyright else \
+                args['copyright'] if args['copyright'] else ''
+            privacy_policy = site.privacy_policy if site.privacy_policy else \
+                args['privacy_policy'] if args['privacy_policy']  else ''
 
         recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == args['app_id']).first()
 
         if not recommended_app:
             recommended_app = RecommendedApp(
                 app_id=app.id,
-                description={
-                    'en': desc,
-                    'zh': desc if not args['desc_zh'] else args['desc_zh']
-                },
+                description=desc,
                 copyright=copy_right,
                 privacy_policy=privacy_policy,
+                language=args['language'],
                 category=args['category'],
                 position=args['position']
             )
@@ -88,13 +90,10 @@ class InsertExploreAppListApi(Resource):
 
             return {'result': 'success'}, 201
         else:
-            recommended_app.description = {
-                'en': desc,
-                'zh': desc if not args['desc_zh'] else args['desc_zh']
-            }
-
+            recommended_app.description = desc
             recommended_app.copyright = copy_right
             recommended_app.privacy_policy = privacy_policy
+            recommended_app.language = args['language']
             recommended_app.category = args['category']
             recommended_app.position = args['position']
 

api/controllers/console/apikey.py

@@ -1,16 +1,17 @@
-from flask_login import login_required, current_user
 import flask_restful
+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 models.model import App, ApiToken
+from libs.helper import TimestampField
+from libs.login import login_required
 from models.dataset import Dataset
+from models.model import ApiToken, App
 
 from . import api
 from .setup import setup_required
 from .wraps import account_initialization_required
-from libs.helper import TimestampField
 
 api_key_fields = {
     'id': fields.String,
@@ -61,9 +62,7 @@ class BaseApiKeyListResource(Resource):
         resource_id = str(resource_id)
         _get_resource(resource_id, current_user.current_tenant_id,
                       self.resource_model)
-
-        # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         current_key_count = db.session.query(ApiToken). \
@@ -80,6 +79,7 @@ class BaseApiKeyListResource(Resource):
         key = ApiToken.generate_api_key(self.token_prefix, 24)
         api_token = ApiToken()
         setattr(api_token, self.resource_id_field, resource_id)
+        api_token.tenant_id = current_user.current_tenant_id
         api_token.token = key
         api_token.type = self.resource_type
         db.session.add(api_token)
@@ -101,7 +101,7 @@ class BaseApiKeyResource(Resource):
                       self.resource_model)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         key = db.session.query(ApiToken). \

api/controllers/console/app/__init__.py

@@ -1,22 +0,0 @@
-from flask_login import current_user
-from werkzeug.exceptions import NotFound
-
-from controllers.console.app.error import AppUnavailableError
-from extensions.ext_database import db
-from models.model import App
-
-
-def _get_app(app_id, mode=None):
-    app = db.session.query(App).filter(
-        App.id == app_id,
-        App.tenant_id == current_user.current_tenant_id,
-        App.status == 'normal'
-    ).first()
-
-    if not app:
-        raise NotFound("App not found")
-
-    if mode and app.mode != mode:
-        raise NotFound("The {} app not found".format(mode))
-
-    return app

api/controllers/console/app/advanced_prompt_template.py

@@ -0,0 +1,26 @@
+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 libs.login import login_required
+from services.advanced_prompt_template_service import AdvancedPromptTemplateService
+
+
+class AdvancedPromptTemplateList(Resource):
+    
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+         
+        parser = reqparse.RequestParser()
+        parser.add_argument('app_mode', type=str, required=True, location='args')
+        parser.add_argument('model_mode', type=str, required=True, location='args')
+        parser.add_argument('has_context', type=str, required=False, default='true', location='args')
+        parser.add_argument('model_name', type=str, required=True, location='args')
+        args = parser.parse_args()
+
+        return AdvancedPromptTemplateService.get_prompt(args)
+
+api.add_resource(AdvancedPromptTemplateList, '/app/prompt-templates')

api/controllers/console/app/agent.py

@@ -0,0 +1,32 @@
+from flask_restful import Resource, reqparse
+
+from controllers.console import api
+from controllers.console.app.wraps import get_app_model
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required
+from libs.helper import uuid_value
+from libs.login import login_required
+from models.model import AppMode
+from services.agent_service import AgentService
+
+
+class AgentLogApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.AGENT_CHAT])
+    def get(self, app_model):
+        """Get agent logs"""
+        parser = reqparse.RequestParser()
+        parser.add_argument('message_id', type=uuid_value, required=True, location='args')
+        parser.add_argument('conversation_id', type=uuid_value, required=True, location='args')
+
+        args = parser.parse_args()
+
+        return AgentService.get_agent_logs(
+            app_model,
+            args['conversation_id'],
+            args['message_id']
+        )
+    
+api.add_resource(AgentLogApi, '/apps/<uuid:app_id>/agent/logs')

api/controllers/console/app/annotation.py

@@ -0,0 +1,292 @@
+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,
+)
+from libs.login import login_required
+from services.annotation_service import AppAnnotationService
+
+
+class AnnotationReplyActionApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    def post(self, app_id, action):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        parser = reqparse.RequestParser()
+        parser.add_argument('score_threshold', required=True, type=float, location='json')
+        parser.add_argument('embedding_provider_name', required=True, type=str, location='json')
+        parser.add_argument('embedding_model_name', required=True, type=str, location='json')
+        args = parser.parse_args()
+        if action == 'enable':
+            result = AppAnnotationService.enable_app_annotation(args, app_id)
+        elif action == 'disable':
+            result = AppAnnotationService.disable_app_annotation(app_id)
+        else:
+            raise ValueError('Unsupported annotation reply action')
+        return result, 200
+
+
+class AppAnnotationSettingDetailApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        result = AppAnnotationService.get_app_annotation_setting_by_app_id(app_id)
+        return result, 200
+
+
+class AppAnnotationSettingUpdateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self, app_id, annotation_setting_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        annotation_setting_id = str(annotation_setting_id)
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('score_threshold', required=True, type=float, location='json')
+        args = parser.parse_args()
+
+        result = AppAnnotationService.update_app_annotation_setting(app_id, annotation_setting_id, args)
+        return result, 200
+
+
+class AnnotationReplyActionStatusApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    def get(self, app_id, job_id, action):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        job_id = str(job_id)
+        app_annotation_job_key = '{}_app_annotation_job_{}'.format(action, str(job_id))
+        cache_result = redis_client.get(app_annotation_job_key)
+        if cache_result is None:
+            raise ValueError("The job is not exist.")
+
+        job_status = cache_result.decode()
+        error_msg = ''
+        if job_status == 'error':
+            app_annotation_error_key = '{}_app_annotation_error_{}'.format(action, str(job_id))
+            error_msg = redis_client.get(app_annotation_error_key).decode()
+
+        return {
+            'job_id': job_id,
+            'job_status': job_status,
+            'error_msg': error_msg
+        }, 200
+
+
+class AnnotationListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        page = request.args.get('page', default=1, type=int)
+        limit = request.args.get('limit', default=20, type=int)
+        keyword = request.args.get('keyword', default=None, type=str)
+
+        app_id = str(app_id)
+        annotation_list, total = AppAnnotationService.get_annotation_list_by_app_id(app_id, page, limit, keyword)
+        response = {
+            'data': marshal(annotation_list, annotation_fields),
+            'has_more': len(annotation_list) == limit,
+            'limit': limit,
+            'total': total,
+            'page': page
+        }
+        return response, 200
+
+
+class AnnotationExportApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        annotation_list = AppAnnotationService.export_annotation_list_by_app_id(app_id)
+        response = {
+            'data': marshal(annotation_list, annotation_fields)
+        }
+        return response, 200
+
+
+class AnnotationCreateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    @marshal_with(annotation_fields)
+    def post(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        parser = reqparse.RequestParser()
+        parser.add_argument('question', required=True, type=str, location='json')
+        parser.add_argument('answer', required=True, type=str, location='json')
+        args = parser.parse_args()
+        annotation = AppAnnotationService.insert_app_annotation_directly(args, app_id)
+        return annotation
+
+
+class AnnotationUpdateDeleteApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    @marshal_with(annotation_fields)
+    def post(self, app_id, annotation_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        annotation_id = str(annotation_id)
+        parser = reqparse.RequestParser()
+        parser.add_argument('question', required=True, type=str, location='json')
+        parser.add_argument('answer', required=True, type=str, location='json')
+        args = parser.parse_args()
+        annotation = AppAnnotationService.update_app_annotation_directly(args, app_id, annotation_id)
+        return annotation
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def delete(self, app_id, annotation_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        annotation_id = str(annotation_id)
+        AppAnnotationService.delete_app_annotation(app_id, annotation_id)
+        return {'result': 'success'}, 200
+
+
+class AnnotationBatchImportApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    def post(self, app_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        app_id = str(app_id)
+        # get file from request
+        file = request.files['file']
+        # check file
+        if 'file' not in request.files:
+            raise NoFileUploadedError()
+
+        if len(request.files) > 1:
+            raise TooManyFilesError()
+        # check file type
+        if not file.filename.endswith('.csv'):
+            raise ValueError("Invalid file type. Only CSV files are allowed")
+        return AppAnnotationService.batch_import_app_annotations(app_id, file)
+
+
+class AnnotationBatchImportStatusApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('annotation')
+    def get(self, app_id, job_id):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        job_id = str(job_id)
+        indexing_cache_key = 'app_annotation_batch_import_{}'.format(str(job_id))
+        cache_result = redis_client.get(indexing_cache_key)
+        if cache_result is None:
+            raise ValueError("The job is not exist.")
+        job_status = cache_result.decode()
+        error_msg = ''
+        if job_status == 'error':
+            indexing_error_msg_key = 'app_annotation_batch_import_error_msg_{}'.format(str(job_id))
+            error_msg = redis_client.get(indexing_error_msg_key).decode()
+
+        return {
+            'job_id': job_id,
+            'job_status': job_status,
+            'error_msg': error_msg
+        }, 200
+
+
+class AnnotationHitHistoryListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, app_id, annotation_id):
+        # The role of the current user in the table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        page = request.args.get('page', default=1, type=int)
+        limit = request.args.get('limit', default=20, type=int)
+        app_id = str(app_id)
+        annotation_id = str(annotation_id)
+        annotation_hit_history_list, total = AppAnnotationService.get_annotation_hit_histories(app_id, annotation_id,
+                                                                                               page, limit)
+        response = {
+            'data': marshal(annotation_hit_history_list, annotation_hit_history_fields),
+            'has_more': len(annotation_hit_history_list) == limit,
+            'limit': limit,
+            'total': total,
+            'page': page
+        }
+        return response
+
+
+api.add_resource(AnnotationReplyActionApi, '/apps/<uuid:app_id>/annotation-reply/<string:action>')
+api.add_resource(AnnotationReplyActionStatusApi,
+                 '/apps/<uuid:app_id>/annotation-reply/<string:action>/status/<uuid:job_id>')
+api.add_resource(AnnotationListApi, '/apps/<uuid:app_id>/annotations')
+api.add_resource(AnnotationExportApi, '/apps/<uuid:app_id>/annotations/export')
+api.add_resource(AnnotationUpdateDeleteApi, '/apps/<uuid:app_id>/annotations/<uuid:annotation_id>')
+api.add_resource(AnnotationBatchImportApi, '/apps/<uuid:app_id>/annotations/batch-import')
+api.add_resource(AnnotationBatchImportStatusApi, '/apps/<uuid:app_id>/annotations/batch-import-status/<uuid:job_id>')
+api.add_resource(AnnotationHitHistoryListApi, '/apps/<uuid:app_id>/annotations/<uuid:annotation_id>/hit-histories')
+api.add_resource(AppAnnotationSettingDetailApi, '/apps/<uuid:app_id>/annotation-setting')
+api.add_resource(AppAnnotationSettingUpdateApi, '/apps/<uuid:app_id>/annotation-settings/<uuid:annotation_setting_id>')

api/controllers/console/app/app.py

@@ -1,92 +1,31 @@
-# -*- coding:utf-8 -*-
 import json
-from datetime import datetime
 
-import flask
-from flask_login import login_required, current_user
-from flask_restful import Resource, reqparse, fields, marshal_with, abort, inputs
-from werkzeug.exceptions import Unauthorized, Forbidden
+from flask_login import current_user
+from flask_restful import Resource, inputs, marshal_with, reqparse
+from werkzeug.exceptions import Forbidden, BadRequest
 
-from constants.model_template import model_templates, demo_model_templates
 from controllers.console import api
-from controllers.console.app.error import AppNotFoundError, ProviderNotInitializeError, ProviderQuotaExceededError, \
-    CompletionRequestError, ProviderModelCurrentlyNotSupportError
+from controllers.console.app.wraps import get_app_model
 from controllers.console.setup import setup_required
-from controllers.console.wraps import account_initialization_required
-from core.generator.llm_generator import LLMGenerator
-from core.llm.error import ProviderTokenNotInitError, QuotaExceededError, LLMBadRequestError, LLMAPIConnectionError, \
-    LLMAPIUnavailableError, LLMRateLimitError, LLMAuthorizationError, ModelCurrentlyNotSupportError
-from events.app_event import app_was_created, app_was_deleted
-from libs.helper import TimestampField
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+from core.agent.entities import AgentToolEntity
 from extensions.ext_database import db
-from models.model import App, AppModelConfig, Site, InstalledApp
-from services.account_service import TenantService
-from services.app_model_config_service import AppModelConfigService
-
-model_config_fields = {
-    'opening_statement': fields.String,
-    'suggested_questions': fields.Raw(attribute='suggested_questions_list'),
-    'suggested_questions_after_answer': fields.Raw(attribute='suggested_questions_after_answer_dict'),
-    'more_like_this': fields.Raw(attribute='more_like_this_dict'),
-    'model': fields.Raw(attribute='model_dict'),
-    'user_input_form': fields.Raw(attribute='user_input_form_list'),
-    'pre_prompt': fields.String,
-    'agent_mode': fields.Raw(attribute='agent_mode_dict'),
-}
-
-app_detail_fields = {
-    'id': fields.String,
-    'name': fields.String,
-    'mode': fields.String,
-    'icon': fields.String,
-    'icon_background': fields.String,
-    'enable_site': fields.Boolean,
-    'enable_api': fields.Boolean,
-    'api_rpm': fields.Integer,
-    'api_rph': fields.Integer,
-    'is_demo': fields.Boolean,
-    'model_config': fields.Nested(model_config_fields, attribute='app_model_config'),
-    'created_at': TimestampField
-}
+from fields.app_fields import (
+    app_detail_fields,
+    app_detail_fields_with_site,
+    app_pagination_fields,
+)
+from libs.login import login_required
+from services.app_service import AppService
+from models.model import App, AppModelConfig, AppMode
+from core.tools.utils.configuration import ToolParameterConfigurationManager
+from core.tools.tool_manager import ToolManager
 
 
-def _get_app(app_id, tenant_id):
-    app = db.session.query(App).filter(App.id == app_id, App.tenant_id == tenant_id).first()
-    if not app:
-        raise AppNotFoundError
-    return app
+ALLOW_CREATE_APP_MODES = ['chat', 'agent-chat', 'advanced-chat', 'workflow', 'completion']
 
 
 class AppListApi(Resource):
-    prompt_config_fields = {
-        'prompt_template': fields.String,
-    }
-
-    model_config_partial_fields = {
-        'model': fields.Raw(attribute='model_dict'),
-        'pre_prompt': fields.String,
-    }
-
-    app_partial_fields = {
-        'id': fields.String,
-        'name': fields.String,
-        'mode': fields.String,
-        'icon': fields.String,
-        'icon_background': fields.String,
-        'enable_site': fields.Boolean,
-        'enable_api': fields.Boolean,
-        'is_demo': fields.Boolean,
-        'model_config': fields.Nested(model_config_partial_fields, attribute='app_model_config'),
-        'created_at': TimestampField
-    }
-
-    app_pagination_fields = {
-        'page': fields.Integer,
-        'limit': fields.Integer(attribute='per_page'),
-        'total': fields.Integer,
-        'has_more': fields.Boolean(attribute='has_next'),
-        'data': fields.List(fields.Nested(app_partial_fields), attribute='items')
-    }
 
     @setup_required
     @login_required
@@ -97,422 +36,268 @@ class AppListApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument('page', type=inputs.int_range(1, 99999), required=False, default=1, location='args')
         parser.add_argument('limit', type=inputs.int_range(1, 100), required=False, default=20, location='args')
+        parser.add_argument('mode', type=str, choices=['chat', 'workflow', 'agent-chat', 'channel', 'all'], default='all', location='args', required=False)
+        parser.add_argument('name', type=str, location='args', required=False)
         args = parser.parse_args()
 
-        app_models = db.paginate(
-            db.select(App).where(App.tenant_id == current_user.current_tenant_id).order_by(App.created_at.desc()),
-            page=args['page'],
-            per_page=args['limit'],
-            error_out=False)
+        # get app list
+        app_service = AppService()
+        app_pagination = app_service.get_paginate_apps(current_user.current_tenant_id, args)
 
-        return app_models
+        return app_pagination
 
     @setup_required
     @login_required
     @account_initialization_required
     @marshal_with(app_detail_fields)
+    @cloud_edition_billing_resource_check('apps')
     def post(self):
         """Create app"""
         parser = reqparse.RequestParser()
         parser.add_argument('name', type=str, required=True, location='json')
-        parser.add_argument('mode', type=str, choices=['completion', 'chat'], location='json')
+        parser.add_argument('description', type=str, location='json')
+        parser.add_argument('mode', type=str, choices=ALLOW_CREATE_APP_MODES, location='json')
         parser.add_argument('icon', type=str, location='json')
         parser.add_argument('icon_background', type=str, location='json')
-        parser.add_argument('model_config', type=dict, location='json')
         args = parser.parse_args()
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
-        if args['model_config'] is not None:
-            # validate config
-            model_configuration = AppModelConfigService.validate_configuration(
-                account=current_user,
-                config=args['model_config'],
-                mode=args['mode']
-            )
+        if 'mode' not in args or args['mode'] is None:
+            raise BadRequest("mode is required")
 
-            app = App(
-                enable_site=True,
-                enable_api=True,
-                is_demo=False,
-                api_rpm=0,
-                api_rph=0,
-                status='normal'
-            )
-
-            app_model_config = AppModelConfig(
-                provider="",
-                model_id="",
-                configs={},
-                opening_statement=model_configuration['opening_statement'],
-                suggested_questions=json.dumps(model_configuration['suggested_questions']),
-                suggested_questions_after_answer=json.dumps(model_configuration['suggested_questions_after_answer']),
-                more_like_this=json.dumps(model_configuration['more_like_this']),
-                model=json.dumps(model_configuration['model']),
-                user_input_form=json.dumps(model_configuration['user_input_form']),
-                pre_prompt=model_configuration['pre_prompt'],
-                agent_mode=json.dumps(model_configuration['agent_mode']),
-            )
-        else:
-            if 'mode' not in args or args['mode'] is None:
-                abort(400, message="mode is required")
-
-            model_config_template = model_templates[args['mode'] + '_default']
-
-            app = App(**model_config_template['app'])
-            app_model_config = AppModelConfig(**model_config_template['model_config'])
-
-        app.name = args['name']
-        app.mode = args['mode']
-        app.icon = args['icon']
-        app.icon_background = args['icon_background']
-        app.tenant_id = current_user.current_tenant_id
-
-        db.session.add(app)
-        db.session.flush()
-
-        app_model_config.app_id = app.id
-        db.session.add(app_model_config)
-        db.session.flush()
-
-        app.app_model_config_id = app_model_config.id
-
-        account = current_user
-
-        site = Site(
-            app_id=app.id,
-            title=app.name,
-            default_language=account.interface_language,
-            customize_token_strategy='not_allow',
-            code=Site.generate_code(16)
-        )
-
-        db.session.add(site)
-        db.session.commit()
-
-        app_was_created.send(app)
+        app_service = AppService()
+        app = app_service.create_app(current_user.current_tenant_id, args, current_user)
 
         return app, 201
 
 
-class AppTemplateApi(Resource):
-    template_fields = {
-        'name': fields.String,
-        'icon': fields.String,
-        'icon_background': fields.String,
-        'description': fields.String,
-        'mode': fields.String,
-        'model_config': fields.Nested(model_config_fields),
-    }
-
-    template_list_fields = {
-        'data': fields.List(fields.Nested(template_fields)),
-    }
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @marshal_with(template_list_fields)
-    def get(self):
-        """Get app demo templates"""
-        account = current_user
-        interface_language = account.interface_language
-
-        return {'data': demo_model_templates.get(interface_language)}
-
-
-class AppApi(Resource):
-    site_fields = {
-        'access_token': fields.String(attribute='code'),
-        'code': fields.String,
-        'title': fields.String,
-        'icon': fields.String,
-        'icon_background': fields.String,
-        'description': fields.String,
-        'default_language': fields.String,
-        'customize_domain': fields.String,
-        'copyright': fields.String,
-        'privacy_policy': fields.String,
-        'customize_token_strategy': fields.String,
-        'prompt_public': fields.Boolean,
-        'app_base_url': fields.String,
-    }
-
-    app_detail_fields_with_site = {
-        'id': fields.String,
-        'name': fields.String,
-        'mode': fields.String,
-        'icon': fields.String,
-        'icon_background': fields.String,
-        'enable_site': fields.Boolean,
-        'enable_api': fields.Boolean,
-        'api_rpm': fields.Integer,
-        'api_rph': fields.Integer,
-        'is_demo': fields.Boolean,
-        'model_config': fields.Nested(model_config_fields, attribute='app_model_config'),
-        'site': fields.Nested(site_fields),
-        'api_base_url': fields.String,
-        'created_at': TimestampField
-    }
-
+class AppImportApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
     @marshal_with(app_detail_fields_with_site)
-    def get(self, app_id):
-        """Get app detail"""
-        app_id = str(app_id)
-        app = _get_app(app_id, current_user.current_tenant_id)
+    @cloud_edition_billing_resource_check('apps')
+    def post(self):
+        """Import app"""
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
 
-        return app
+        parser = reqparse.RequestParser()
+        parser.add_argument('data', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('name', type=str, location='json')
+        parser.add_argument('description', type=str, location='json')
+        parser.add_argument('icon', type=str, location='json')
+        parser.add_argument('icon_background', type=str, location='json')
+        args = parser.parse_args()
+
+        app_service = AppService()
+        app = app_service.import_app(current_user.current_tenant_id, args['data'], args, current_user)
+
+        return app, 201
+
+
+class AppApi(Resource):
 
     @setup_required
     @login_required
     @account_initialization_required
-    def delete(self, app_id):
+    @get_app_model
+    @marshal_with(app_detail_fields_with_site)
+    def get(self, app_model):
+        """Get app detail"""
+        # get original app model config
+        if app_model.mode == AppMode.AGENT_CHAT.value or app_model.is_agent:
+            model_config: AppModelConfig = app_model.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,
+                    )
+                    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)
+            db.session.commit()
+
+        return app_model
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    @marshal_with(app_detail_fields_with_site)
+    def put(self, app_model):
+        """Update app"""
+        parser = reqparse.RequestParser()
+        parser.add_argument('name', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('description', type=str, location='json')
+        parser.add_argument('icon', type=str, location='json')
+        parser.add_argument('icon_background', type=str, location='json')
+        args = parser.parse_args()
+
+        app_service = AppService()
+        app_model = app_service.update_app(app_model, args)
+
+        return app_model
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    def delete(self, app_model):
         """Delete app"""
-        app_id = str(app_id)
-        app = _get_app(app_id, current_user.current_tenant_id)
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
 
-        db.session.delete(app)
-        db.session.commit()
-
-        # todo delete related data??
-        # model_config, site, api_token, conversation, message, message_feedback, message_annotation
-
-        app_was_deleted.send(app)
+        app_service = AppService()
+        app_service.delete_app(app_model)
 
         return {'result': 'success'}, 204
 
 
+class AppCopyApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    @marshal_with(app_detail_fields_with_site)
+    def post(self, app_model):
+        """Copy app"""
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('name', type=str, location='json')
+        parser.add_argument('description', type=str, location='json')
+        parser.add_argument('icon', type=str, location='json')
+        parser.add_argument('icon_background', type=str, location='json')
+        args = parser.parse_args()
+
+        app_service = AppService()
+        data = app_service.export_app(app_model)
+        app = app_service.import_app(current_user.current_tenant_id, data, args, current_user)
+
+        return app, 201
+
+
+class AppExportApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    def get(self, app_model):
+        """Export app"""
+        app_service = AppService()
+
+        return {
+            "data": app_service.export_app(app_model)
+        }
+
+
 class AppNameApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model
     @marshal_with(app_detail_fields)
-    def post(self, app_id):
-
-        # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
-            raise Forbidden()
-
+    def post(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('name', type=str, required=True, location='json')
         args = parser.parse_args()
 
-        app = db.get_or_404(App, str(app_id))
-        if app.tenant_id != flask.session.get('tenant_id'):
-            raise Unauthorized()
+        app_service = AppService()
+        app_model = app_service.update_app_name(app_model, args.get('name'))
 
-        app.name = args.get('name')
-        app.updated_at = datetime.utcnow()
-        db.session.commit()
-        return app
+        return app_model
 
 
 class AppIconApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model
     @marshal_with(app_detail_fields)
-    def post(self, app_id):
-
-        # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
-            raise Forbidden()
-
+    def post(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('icon', type=str, location='json')
         parser.add_argument('icon_background', type=str, location='json')
         args = parser.parse_args()
 
-        app = db.get_or_404(App, str(app_id))
-        if app.tenant_id != flask.session.get('tenant_id'):
-            raise Unauthorized()
+        app_service = AppService()
+        app_model = app_service.update_app_icon(app_model, args.get('icon'), args.get('icon_background'))
 
-        app.icon = args.get('icon')
-        app.icon_background = args.get('icon_background')
-        app.updated_at = datetime.utcnow()
-        db.session.commit()
-
-        return app
+        return app_model
 
 
 class AppSiteStatus(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model
     @marshal_with(app_detail_fields)
-    def post(self, app_id):
+    def post(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('enable_site', type=bool, required=True, location='json')
         args = parser.parse_args()
-        app_id = str(app_id)
-        app = db.session.query(App).filter(App.id == app_id, App.tenant_id == current_user.current_tenant_id).first()
-        if not app:
-            raise AppNotFoundError
 
-        if args.get('enable_site') == app.enable_site:
-            return app
+        app_service = AppService()
+        app_model = app_service.update_app_site_status(app_model, args.get('enable_site'))
 
-        app.enable_site = args.get('enable_site')
-        app.updated_at = datetime.utcnow()
-        db.session.commit()
-        return app
+        return app_model
 
 
 class AppApiStatus(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model
     @marshal_with(app_detail_fields)
-    def post(self, app_id):
+    def post(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('enable_api', type=bool, required=True, location='json')
         args = parser.parse_args()
 
-        app_id = str(app_id)
-        app = _get_app(app_id, current_user.current_tenant_id)
+        app_service = AppService()
+        app_model = app_service.update_app_api_status(app_model, args.get('enable_api'))
 
-        if args.get('enable_api') == app.enable_api:
-            return app
-
-        app.enable_api = args.get('enable_api')
-        app.updated_at = datetime.utcnow()
-        db.session.commit()
-        return app
-
-
-class AppRateLimit(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @marshal_with(app_detail_fields)
-    def post(self, app_id):
-        parser = reqparse.RequestParser()
-        parser.add_argument('api_rpm', type=inputs.natural, required=False, location='json')
-        parser.add_argument('api_rph', type=inputs.natural, required=False, location='json')
-        args = parser.parse_args()
-
-        app_id = str(app_id)
-        app = _get_app(app_id, current_user.current_tenant_id)
-
-        if args.get('api_rpm'):
-            app.api_rpm = args.get('api_rpm')
-        if args.get('api_rph'):
-            app.api_rph = args.get('api_rph')
-        app.updated_at = datetime.utcnow()
-        db.session.commit()
-        return app
-
-
-class AppCopy(Resource):
-    @staticmethod
-    def create_app_copy(app):
-        copy_app = App(
-            name=app.name + ' copy',
-            icon=app.icon,
-            icon_background=app.icon_background,
-            tenant_id=app.tenant_id,
-            mode=app.mode,
-            app_model_config_id=app.app_model_config_id,
-            enable_site=app.enable_site,
-            enable_api=app.enable_api,
-            api_rpm=app.api_rpm,
-            api_rph=app.api_rph
-        )
-        return copy_app
-
-    @staticmethod
-    def create_app_model_config_copy(app_config, copy_app_id):
-        copy_app_model_config = AppModelConfig(
-            app_id=copy_app_id,
-            provider=app_config.provider,
-            model_id=app_config.model_id,
-            configs=app_config.configs,
-            opening_statement=app_config.opening_statement,
-            suggested_questions=app_config.suggested_questions,
-            suggested_questions_after_answer=app_config.suggested_questions_after_answer,
-            more_like_this=app_config.more_like_this,
-            model=app_config.model,
-            user_input_form=app_config.user_input_form,
-            pre_prompt=app_config.pre_prompt,
-            agent_mode=app_config.agent_mode
-        )
-        return copy_app_model_config
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    @marshal_with(app_detail_fields)
-    def post(self, app_id):
-        app_id = str(app_id)
-        app = _get_app(app_id, current_user.current_tenant_id)
-
-        copy_app = self.create_app_copy(app)
-        db.session.add(copy_app)
-
-        app_config = db.session.query(AppModelConfig). \
-            filter(AppModelConfig.app_id == app_id). \
-            one_or_none()
-
-        if app_config:
-            copy_app_model_config = self.create_app_model_config_copy(app_config, copy_app.id)
-            db.session.add(copy_app_model_config)
-            db.session.commit()
-            copy_app.app_model_config_id = copy_app_model_config.id
-        db.session.commit()
-
-        return copy_app, 201
-
-
-class AppExport(Resource):
-
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self, app_id):
-        # todo
-        pass
-
-
-class IntroductionGenerateApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def post(self):
-        parser = reqparse.RequestParser()
-        parser.add_argument('prompt_template', type=str, required=True, location='json')
-        args = parser.parse_args()
-
-        account = current_user
-
-        try:
-            answer = LLMGenerator.generate_introduction(
-                account.current_tenant_id,
-                args['prompt_template']
-            )
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
-        except QuotaExceededError:
-            raise ProviderQuotaExceededError()
-        except ModelCurrentlyNotSupportError:
-            raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
-
-        return {'introduction': answer}
+        return app_model
 
 
 api.add_resource(AppListApi, '/apps')
-api.add_resource(AppTemplateApi, '/app-templates')
+api.add_resource(AppImportApi, '/apps/import')
 api.add_resource(AppApi, '/apps/<uuid:app_id>')
-api.add_resource(AppCopy, '/apps/<uuid:app_id>/copy')
+api.add_resource(AppCopyApi, '/apps/<uuid:app_id>/copy')
+api.add_resource(AppExportApi, '/apps/<uuid:app_id>/export')
 api.add_resource(AppNameApi, '/apps/<uuid:app_id>/name')
+api.add_resource(AppIconApi, '/apps/<uuid:app_id>/icon')
 api.add_resource(AppSiteStatus, '/apps/<uuid:app_id>/site-enable')
 api.add_resource(AppApiStatus, '/apps/<uuid:app_id>/api-enable')
-api.add_resource(AppRateLimit, '/apps/<uuid:app_id>/rate-limit')
-api.add_resource(IntroductionGenerateApi, '/introduction-generate')

api/controllers/console/app/audio.py

@@ -0,0 +1,163 @@
+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.error import (
+    AppUnavailableError,
+    AudioTooLargeError,
+    CompletionRequestError,
+    NoAudioUploadedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderNotSupportSpeechToTextError,
+    ProviderQuotaExceededError,
+    UnsupportedAudioTypeError,
+)
+from controllers.console.app.wraps import get_app_model
+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 libs.login import login_required
+from models.model import AppMode
+from services.audio_service import AudioService
+from services.errors.audio import (
+    AudioTooLargeServiceError,
+    NoAudioUploadedServiceError,
+    ProviderNotSupportSpeechToTextServiceError,
+    UnsupportedAudioTypeServiceError,
+)
+
+
+class ChatMessageAudioApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
+    def post(self, app_model):
+        file = request.files['file']
+
+        try:
+            response = AudioService.transcript_asr(
+                app_model=app_model,
+                file=file,
+                end_user=None,
+            )
+
+            return response
+        except services.errors.app_model_config.AppModelConfigBrokenError:
+            logging.exception("App model config broken.")
+            raise AppUnavailableError()
+        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()
+
+
+class ChatMessageTextApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    def post(self, app_model):
+        try:
+            response = AudioService.transcript_tts(
+                app_model=app_model,
+                text=request.form['text'],
+                voice=request.form.get('voice'),
+                streaming=False
+            )
+
+            return {'data': response.data.decode('latin1')}
+        except services.errors.app_model_config.AppModelConfigBrokenError:
+            logging.exception("App model config broken.")
+            raise AppUnavailableError()
+        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()
+
+
+class TextModesApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    def get(self, app_model):
+        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

@@ -1,28 +1,31 @@
-# -*- coding:utf-8 -*-
-import json
 import logging
-from typing import Generator, Union
 
 import flask_login
-from flask import Response, stream_with_context
-from flask_login import login_required
+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 ConversationCompletedError, AppUnavailableError, \
-    ProviderNotInitializeError, CompletionRequestError, ProviderQuotaExceededError, \
-    ProviderModelCurrentlyNotSupportError
+from controllers.console.app.error import (
+    AppUnavailableError,
+    CompletionRequestError,
+    ConversationCompletedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from controllers.console.app.wraps import get_app_model
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.conversation_message_task import PubHandler
-from core.llm.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
-    LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
+from core.app.apps.base_app_queue_manager import AppQueueManager
+from core.app.entities.app_invoke_entities import InvokeFrom
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
+from libs import helper
 from libs.helper import uuid_value
-from flask_restful import Resource, reqparse
-
-from services.completion_service import CompletionService
+from libs.login import login_required
+from models.model import AppMode
+from services.app_generate_service import AppGenerateService
 
 
 # define completion message api for user
@@ -31,31 +34,32 @@ class CompletionMessageApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, app_id):
-        app_id = str(app_id)
-
-        # get app info
-        app_model = _get_app(app_id, 'completion')
-
+    @get_app_model(mode=AppMode.COMPLETION)
+    def post(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('inputs', type=dict, required=True, location='json')
-        parser.add_argument('query', type=str, location='json')
+        parser.add_argument('query', type=str, location='json', default='')
+        parser.add_argument('files', type=list, required=False, location='json')
         parser.add_argument('model_config', type=dict, required=True, location='json')
+        parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
+        parser.add_argument('retriever_from', type=str, required=False, default='dev', location='json')
         args = parser.parse_args()
 
+        streaming = args['response_mode'] != 'blocking'
+        args['auto_generate_name'] = False
+
         account = flask_login.current_user
 
         try:
-            response = CompletionService.completion(
+            response = AppGenerateService.generate(
                 app_model=app_model,
                 user=account,
                 args=args,
-                from_source='console',
-                streaming=True,
-                is_model_config_override=True
+                invoke_from=InvokeFrom.DEBUGGER,
+                streaming=streaming
             )
 
-            return compact_response(response)
+            return helper.compact_generate_response(response)
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
         except services.errors.conversation.ConversationCompletedError:
@@ -63,15 +67,14 @@ class CompletionMessageApi(Resource):
         except services.errors.app_model_config.AppModelConfigBrokenError:
             logging.exception("App model config broken.")
             raise AppUnavailableError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
         except QuotaExceededError:
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
@@ -83,15 +86,11 @@ class CompletionMessageStopApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, app_id, task_id):
-        app_id = str(app_id)
-
-        # get app info
-        _get_app(app_id, 'completion')
-
+    @get_app_model(mode=AppMode.COMPLETION)
+    def post(self, app_model, task_id):
         account = flask_login.current_user
 
-        PubHandler.stop(account, task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, account.id)
 
         return {'result': 'success'}, 200
 
@@ -100,32 +99,33 @@ class ChatMessageApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, app_id):
-        app_id = str(app_id)
-
-        # get app info
-        app_model = _get_app(app_id, 'chat')
-
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT])
+    def post(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('inputs', type=dict, required=True, location='json')
         parser.add_argument('query', type=str, required=True, location='json')
+        parser.add_argument('files', type=list, required=False, location='json')
         parser.add_argument('model_config', type=dict, required=True, location='json')
         parser.add_argument('conversation_id', type=uuid_value, location='json')
+        parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
+        parser.add_argument('retriever_from', type=str, required=False, default='dev', location='json')
         args = parser.parse_args()
 
+        streaming = args['response_mode'] != 'blocking'
+        args['auto_generate_name'] = False
+
         account = flask_login.current_user
 
         try:
-            response = CompletionService.completion(
+            response = AppGenerateService.generate(
                 app_model=app_model,
                 user=account,
                 args=args,
-                from_source='console',
-                streaming=True,
-                is_model_config_override=True
+                invoke_from=InvokeFrom.DEBUGGER,
+                streaming=streaming
             )
 
-            return compact_response(response)
+            return helper.compact_generate_response(response)
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
         except services.errors.conversation.ConversationCompletedError:
@@ -133,15 +133,14 @@ class ChatMessageApi(Resource):
         except services.errors.app_model_config.AppModelConfigBrokenError:
             logging.exception("App model config broken.")
             raise AppUnavailableError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
         except QuotaExceededError:
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
@@ -149,53 +148,15 @@ class ChatMessageApi(Resource):
             raise InternalServerError()
 
 
-def compact_response(response: Union[dict | Generator]) -> Response:
-    if isinstance(response, dict):
-        return Response(response=json.dumps(response), status=200, mimetype='application/json')
-    else:
-        def generate() -> Generator:
-            try:
-                for chunk in response:
-                    yield chunk
-            except services.errors.conversation.ConversationNotExistsError:
-                yield "data: " + json.dumps(api.handle_error(NotFound("Conversation Not Exists.")).get_json()) + "\n\n"
-            except services.errors.conversation.ConversationCompletedError:
-                yield "data: " + json.dumps(api.handle_error(ConversationCompletedError()).get_json()) + "\n\n"
-            except services.errors.app_model_config.AppModelConfigBrokenError:
-                logging.exception("App model config broken.")
-                yield "data: " + json.dumps(api.handle_error(AppUnavailableError()).get_json()) + "\n\n"
-            except ProviderTokenNotInitError:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
-            except QuotaExceededError:
-                yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
-            except ModelCurrentlyNotSupportError:
-                yield "data: " + json.dumps(api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n"
-            except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                    LLMRateLimitError, LLMAuthorizationError) as e:
-                yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n"
-            except ValueError as e:
-                yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n"
-            except Exception:
-                logging.exception("internal server error.")
-                yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n"
-
-        return Response(stream_with_context(generate()), status=200,
-                        mimetype='text/event-stream')
-
-
 class ChatMessageStopApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, app_id, task_id):
-        app_id = str(app_id)
-
-        # get app info
-        _get_app(app_id, 'chat')
-
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
+    def post(self, app_model, task_id):
         account = flask_login.current_user
 
-        PubHandler.stop(account, task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, account.id)
 
         return {'result': 'success'}, 200
 

api/controllers/console/app/conversation.py

@@ -1,125 +1,38 @@
-from datetime import datetime
+from datetime import datetime, timezone
 
 import pytz
-from flask_login import login_required, current_user
-from flask_restful import Resource, reqparse, fields, marshal_with
+from flask_login import current_user
+from flask_restful import Resource, marshal_with, reqparse
 from flask_restful.inputs import int_range
-from sqlalchemy import or_, func
+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.app.wraps import get_app_model
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from libs.helper import TimestampField, datetime_string, uuid_value
+from core.app.entities.app_invoke_entities import InvokeFrom
 from extensions.ext_database import db
-from models.model import Message, MessageAnnotation, Conversation
-
-account_fields = {
-    'id': fields.String,
-    'name': fields.String,
-    'email': fields.String
-}
-
-feedback_fields = {
-    'rating': fields.String,
-    'content': fields.String,
-    'from_source': fields.String,
-    'from_end_user_id': fields.String,
-    'from_account': fields.Nested(account_fields, allow_null=True),
-}
-
-annotation_fields = {
-    'content': fields.String,
-    'account': fields.Nested(account_fields, allow_null=True),
-    'created_at': TimestampField
-}
-
-message_detail_fields = {
-    'id': fields.String,
-    'conversation_id': fields.String,
-    'inputs': fields.Raw,
-    'query': fields.String,
-    'message': fields.Raw,
-    'message_tokens': fields.Integer,
-    'answer': fields.String,
-    'answer_tokens': fields.Integer,
-    'provider_response_latency': fields.Float,
-    'from_source': fields.String,
-    'from_end_user_id': fields.String,
-    'from_account_id': fields.String,
-    'feedbacks': fields.List(fields.Nested(feedback_fields)),
-    'annotation': fields.Nested(annotation_fields, allow_null=True),
-    'created_at': TimestampField
-}
-
-feedback_stat_fields = {
-    'like': fields.Integer,
-    'dislike': fields.Integer
-}
-
-model_config_fields = {
-    'opening_statement': fields.String,
-    'suggested_questions': fields.Raw,
-    'model': fields.Raw,
-    'user_input_form': fields.Raw,
-    'pre_prompt': fields.String,
-    'agent_mode': fields.Raw,
-}
+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 AppMode, Conversation, Message, MessageAnnotation
 
 
 class CompletionConversationApi(Resource):
-    class MessageTextField(fields.Raw):
-        def format(self, value):
-            return value[0]['text'] if value else ''
-
-    simple_configs_fields = {
-        'prompt_template': fields.String,
-    }
-
-    simple_model_config_fields = {
-        'model': fields.Raw(attribute='model_dict'),
-        'pre_prompt': fields.String,
-    }
-
-    simple_message_detail_fields = {
-        'inputs': fields.Raw,
-        'query': fields.String,
-        'message': MessageTextField,
-        'answer': fields.String,
-    }
-
-    conversation_fields = {
-        'id': fields.String,
-        'status': fields.String,
-        'from_source': fields.String,
-        'from_end_user_id': fields.String,
-        'from_account_id': fields.String,
-        'read_at': TimestampField,
-        'created_at': TimestampField,
-        'annotation': fields.Nested(annotation_fields, allow_null=True),
-        'model_config': fields.Nested(simple_model_config_fields),
-        'user_feedback_stats': fields.Nested(feedback_stat_fields),
-        'admin_feedback_stats': fields.Nested(feedback_stat_fields),
-        'message': fields.Nested(simple_message_detail_fields, attribute='first_message')
-    }
-
-    conversation_pagination_fields = {
-        'page': fields.Integer,
-        'limit': fields.Integer(attribute='per_page'),
-        'total': fields.Integer,
-        'has_more': fields.Boolean(attribute='has_next'),
-        'data': fields.List(fields.Nested(conversation_fields), attribute='items')
-    }
 
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model(mode=AppMode.COMPLETION)
     @marshal_with(conversation_pagination_fields)
-    def get(self, app_id):
-        app_id = str(app_id)
-
+    def get(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('keyword', type=str, location='args')
         parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@@ -130,10 +43,7 @@ class CompletionConversationApi(Resource):
         parser.add_argument('limit', type=int_range(1, 100), default=20, location='args')
         args = parser.parse_args()
 
-        # get app info
-        app = _get_app(app_id, 'completion')
-
-        query = db.select(Conversation).where(Conversation.app_id == app.id, Conversation.mode == 'completion')
+        query = db.select(Conversation).where(Conversation.app_id == app_model.id, Conversation.mode == 'completion')
 
         if args['keyword']:
             query = query.join(
@@ -160,7 +70,7 @@ class CompletionConversationApi(Resource):
 
         if args['end']:
             end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
-            end_datetime = end_datetime.replace(second=0)
+            end_datetime = end_datetime.replace(second=59)
 
             end_datetime_timezone = timezone.localize(end_datetime)
             end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
@@ -189,69 +99,44 @@ class CompletionConversationApi(Resource):
 
 
 class CompletionConversationDetailApi(Resource):
-    conversation_detail_fields = {
-        'id': fields.String,
-        'status': fields.String,
-        'from_source': fields.String,
-        'from_end_user_id': fields.String,
-        'from_account_id': fields.String,
-        'created_at': TimestampField,
-        'model_config': fields.Nested(model_config_fields),
-        'message': fields.Nested(message_detail_fields, attribute='first_message'),
-    }
 
     @setup_required
     @login_required
     @account_initialization_required
-    @marshal_with(conversation_detail_fields)
-    def get(self, app_id, conversation_id):
-        app_id = str(app_id)
+    @get_app_model(mode=AppMode.COMPLETION)
+    @marshal_with(conversation_message_detail_fields)
+    def get(self, app_model, conversation_id):
         conversation_id = str(conversation_id)
 
-        return _get_conversation(app_id, conversation_id, 'completion')
+        return _get_conversation(app_model, conversation_id)
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
+    def delete(self, app_model, conversation_id):
+        conversation_id = str(conversation_id)
+
+        conversation = db.session.query(Conversation) \
+            .filter(Conversation.id == conversation_id, Conversation.app_id == app_model.id).first()
+
+        if not conversation:
+            raise NotFound("Conversation Not Exists.")
+
+        conversation.is_deleted = True
+        db.session.commit()
+
+        return {'result': 'success'}, 204
 
 
 class ChatConversationApi(Resource):
-    simple_configs_fields = {
-        'prompt_template': fields.String,
-    }
-
-    simple_model_config_fields = {
-        'model': fields.Raw(attribute='model_dict'),
-        'pre_prompt': fields.String,
-    }
-
-    conversation_fields = {
-        'id': fields.String,
-        'status': fields.String,
-        'from_source': fields.String,
-        'from_end_user_id': fields.String,
-        'from_account_id': fields.String,
-        'summary': fields.String(attribute='summary_or_query'),
-        'read_at': TimestampField,
-        'created_at': TimestampField,
-        'annotated': fields.Boolean,
-        'model_config': fields.Nested(simple_model_config_fields),
-        'message_count': fields.Integer,
-        'user_feedback_stats': fields.Nested(feedback_stat_fields),
-        'admin_feedback_stats': fields.Nested(feedback_stat_fields)
-    }
-
-    conversation_pagination_fields = {
-        'page': fields.Integer,
-        'limit': fields.Integer(attribute='per_page'),
-        'total': fields.Integer,
-        'has_more': fields.Boolean(attribute='has_next'),
-        'data': fields.List(fields.Nested(conversation_fields), attribute='items')
-    }
 
     @setup_required
     @login_required
     @account_initialization_required
-    @marshal_with(conversation_pagination_fields)
-    def get(self, app_id):
-        app_id = str(app_id)
-
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
+    @marshal_with(conversation_with_summary_pagination_fields)
+    def get(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('keyword', type=str, location='args')
         parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@@ -263,10 +148,7 @@ class ChatConversationApi(Resource):
         parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args')
         args = parser.parse_args()
 
-        # get app info
-        app = _get_app(app_id, 'chat')
-
-        query = db.select(Conversation).where(Conversation.app_id == app.id, Conversation.mode == 'chat')
+        query = db.select(Conversation).where(Conversation.app_id == app_model.id)
 
         if args['keyword']:
             query = query.join(
@@ -296,7 +178,7 @@ class ChatConversationApi(Resource):
 
         if args['end']:
             end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
-            end_datetime = end_datetime.replace(second=0)
+            end_datetime = end_datetime.replace(second=59)
 
             end_datetime_timezone = timezone.localize(end_datetime)
             end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
@@ -320,6 +202,9 @@ class ChatConversationApi(Resource):
                 .having(func.count(Message.id) >= args['message_count_gte'])
             )
 
+        if app_model.mode == AppMode.ADVANCED_CHAT.value:
+            query = query.where(Conversation.invoke_from != InvokeFrom.DEBUGGER.value)
+
         query = query.order_by(Conversation.created_at.desc())
 
         conversations = db.paginate(
@@ -333,31 +218,34 @@ class ChatConversationApi(Resource):
 
 
 class ChatConversationDetailApi(Resource):
-    conversation_detail_fields = {
-        'id': fields.String,
-        'status': fields.String,
-        'from_source': fields.String,
-        'from_end_user_id': fields.String,
-        'from_account_id': fields.String,
-        'created_at': TimestampField,
-        'annotated': fields.Boolean,
-        'model_config': fields.Nested(model_config_fields),
-        'message_count': fields.Integer,
-        'user_feedback_stats': fields.Nested(feedback_stat_fields),
-        'admin_feedback_stats': fields.Nested(feedback_stat_fields)
-    }
 
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
     @marshal_with(conversation_detail_fields)
-    def get(self, app_id, conversation_id):
-        app_id = str(app_id)
+    def get(self, app_model, conversation_id):
         conversation_id = str(conversation_id)
 
-        return _get_conversation(app_id, conversation_id, 'chat')
+        return _get_conversation(app_model, conversation_id)
 
+    @setup_required
+    @login_required
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
+    @account_initialization_required
+    def delete(self, app_model, conversation_id):
+        conversation_id = str(conversation_id)
 
+        conversation = db.session.query(Conversation) \
+            .filter(Conversation.id == conversation_id, Conversation.app_id == app_model.id).first()
+
+        if not conversation:
+            raise NotFound("Conversation Not Exists.")
+
+        conversation.is_deleted = True
+        db.session.commit()
+
+        return {'result': 'success'}, 204
 
 
 api.add_resource(CompletionConversationApi, '/apps/<uuid:app_id>/completion-conversations')
@@ -366,18 +254,15 @@ api.add_resource(ChatConversationApi, '/apps/<uuid:app_id>/chat-conversations')
 api.add_resource(ChatConversationDetailApi, '/apps/<uuid:app_id>/chat-conversations/<uuid:conversation_id>')
 
 
-def _get_conversation(app_id, conversation_id, mode):
-    # get app info
-    app = _get_app(app_id, mode)
-
+def _get_conversation(app_model, conversation_id):
     conversation = db.session.query(Conversation) \
-        .filter(Conversation.id == conversation_id, Conversation.app_id == app.id).first()
+        .filter(Conversation.id == conversation_id, Conversation.app_id == app_model.id).first()
 
     if not conversation:
         raise NotFound("Conversation Not Exists.")
 
     if not conversation.read_at:
-        conversation.read_at = datetime.utcnow()
+        conversation.read_at = datetime.now(timezone.utc).replace(tzinfo=None)
         conversation.read_account_id = current_user.id
         db.session.commit()
 

api/controllers/console/app/error.py

@@ -16,7 +16,7 @@ class ProviderNotInitializeError(BaseHTTPException):
 
 class ProviderQuotaExceededError(BaseHTTPException):
     error_code = 'provider_quota_exceeded'
-    description = "Your quota for Dify Hosted OpenAI has been exhausted. " \
+    description = "Your quota for Dify Hosted Model Provider has been exhausted. " \
                   "Please go to Settings -> Model Provider to complete your own provider credentials."
     code = 400
 
@@ -49,3 +49,45 @@ class AppMoreLikeThisDisabledError(BaseHTTPException):
     error_code = 'app_more_like_this_disabled'
     description = "The 'More like this' feature is disabled. Please refresh your page."
     code = 403
+
+
+class NoAudioUploadedError(BaseHTTPException):
+    error_code = 'no_audio_uploaded'
+    description = "Please upload your audio."
+    code = 400
+
+
+class AudioTooLargeError(BaseHTTPException):
+    error_code = 'audio_too_large'
+    description = "Audio size exceeded. {message}"
+    code = 413
+
+
+class UnsupportedAudioTypeError(BaseHTTPException):
+    error_code = 'unsupported_audio_type'
+    description = "Audio type not allowed."
+    code = 415
+
+
+class ProviderNotSupportSpeechToTextError(BaseHTTPException):
+    error_code = 'provider_not_support_speech_to_text'
+    description = "Provider not support speech to text."
+    code = 400
+
+
+class NoFileUploadedError(BaseHTTPException):
+    error_code = 'no_file_uploaded'
+    description = "Please upload your file."
+    code = 400
+
+
+class TooManyFilesError(BaseHTTPException):
+    error_code = 'too_many_files'
+    description = "Only one file is allowed."
+    code = 400
+
+
+class DraftWorkflowNotExist(BaseHTTPException):
+    error_code = 'draft_workflow_not_exist'
+    description = "Draft workflow need to be initialized."
+    code = 400

api/controllers/console/app/generator.py

@@ -0,0 +1,49 @@
+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.setup import setup_required
+from controllers.console.wraps import account_initialization_required
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.llm_generator.llm_generator import LLMGenerator
+from core.model_runtime.errors.invoke import InvokeError
+from libs.login import login_required
+
+
+class RuleGenerateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument('audiences', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('hoping_to_solve', type=str, required=True, nullable=False, location='json')
+        args = parser.parse_args()
+
+        account = current_user
+
+        try:
+            rules = LLMGenerator.generate_rule_config(
+                account.current_tenant_id,
+                args['audiences'],
+                args['hoping_to_solve']
+            )
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
+        except QuotaExceededError:
+            raise ProviderQuotaExceededError()
+        except ModelCurrentlyNotSupportError:
+            raise ProviderModelCurrentlyNotSupportError()
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
+
+        return rules
+
+
+api.add_resource(RuleGenerateApi, '/rule-generate')

api/controllers/console/app/message.py

@@ -1,69 +1,35 @@
-import json
 import logging
-from typing import Union, Generator
 
-from flask import Response, stream_with_context
-from flask_login import current_user, login_required
-from flask_restful import Resource, reqparse, marshal_with, fields
+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 InternalServerError, NotFound
+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 CompletionRequestError, ProviderNotInitializeError, \
-    AppMoreLikeThisDisabledError, ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError
+from controllers.console.app.error import (
+    CompletionRequestError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from controllers.console.app.wraps import get_app_model
+from controllers.console.explore.error import AppSuggestedQuestionsAfterAnswerDisabledError
 from controllers.console.setup import setup_required
-from controllers.console.wraps import account_initialization_required
-from core.llm.error import LLMRateLimitError, LLMBadRequestError, LLMAuthorizationError, LLMAPIConnectionError, \
-    ProviderTokenNotInitError, LLMAPIUnavailableError, QuotaExceededError, ModelCurrentlyNotSupportError
-from libs.helper import uuid_value, TimestampField
-from libs.infinite_scroll_pagination import InfiniteScrollPagination
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+from core.app.entities.app_invoke_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 models.model import MessageAnnotation, Conversation, Message, MessageFeedback
-from services.completion_service import CompletionService
-from services.errors.app import MoreLikeThisDisabledError
+from fields.conversation_fields import annotation_fields, message_detail_fields
+from libs.helper import uuid_value
+from libs.infinite_scroll_pagination import InfiniteScrollPagination
+from libs.login import login_required
+from models.model import AppMode, Conversation, Message, MessageAnnotation, MessageFeedback
+from services.annotation_service import AppAnnotationService
 from services.errors.conversation import ConversationNotExistsError
-from services.errors.message import MessageNotExistsError
+from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
 from services.message_service import MessageService
 
-account_fields = {
-    'id': fields.String,
-    'name': fields.String,
-    'email': fields.String
-}
-
-feedback_fields = {
-    'rating': fields.String,
-    'content': fields.String,
-    'from_source': fields.String,
-    'from_end_user_id': fields.String,
-    'from_account': fields.Nested(account_fields, allow_null=True),
-}
-
-annotation_fields = {
-    'content': fields.String,
-    'account': fields.Nested(account_fields, allow_null=True),
-    'created_at': TimestampField
-}
-
-message_detail_fields = {
-    'id': fields.String,
-    'conversation_id': fields.String,
-    'inputs': fields.Raw,
-    'query': fields.String,
-    'message': fields.Raw,
-    'message_tokens': fields.Integer,
-    'answer': fields.String,
-    'answer_tokens': fields.Integer,
-    'provider_response_latency': fields.Float,
-    'from_source': fields.String,
-    'from_end_user_id': fields.String,
-    'from_account_id': fields.String,
-    'feedbacks': fields.List(fields.Nested(feedback_fields)),
-    'annotation': fields.Nested(annotation_fields, allow_null=True),
-    'created_at': TimestampField
-}
-
 
 class ChatMessageListApi(Resource):
     message_infinite_scroll_pagination_fields = {
@@ -74,14 +40,10 @@ class ChatMessageListApi(Resource):
 
     @setup_required
     @login_required
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
     @account_initialization_required
     @marshal_with(message_infinite_scroll_pagination_fields)
-    def get(self, app_id):
-        app_id = str(app_id)
-
-        # get app info
-        app = _get_app(app_id, 'chat')
-
+    def get(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('conversation_id', required=True, type=uuid_value, location='args')
         parser.add_argument('first_id', type=uuid_value, location='args')
@@ -90,7 +52,7 @@ class ChatMessageListApi(Resource):
 
         conversation = db.session.query(Conversation).filter(
             Conversation.id == args['conversation_id'],
-            Conversation.app_id == app.id
+            Conversation.app_id == app_model.id
         ).first()
 
         if not conversation:
@@ -138,12 +100,8 @@ class MessageFeedbackApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, app_id):
-        app_id = str(app_id)
-
-        # get app info
-        app = _get_app(app_id)
-
+    @get_app_model
+    def post(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('message_id', required=True, type=uuid_value, location='json')
         parser.add_argument('rating', type=str, choices=['like', 'dislike', None], location='json')
@@ -153,7 +111,7 @@ class MessageFeedbackApi(Resource):
 
         message = db.session.query(Message).filter(
             Message.id == message_id,
-            Message.app_id == app.id
+            Message.app_id == app_model.id
         ).first()
 
         if not message:
@@ -169,7 +127,7 @@ class MessageFeedbackApi(Resource):
             raise ValueError('rating cannot be None when feedback not exists')
         else:
             feedback = MessageFeedback(
-                app_id=app.id,
+                app_id=app_model.id,
                 conversation_id=message.conversation_id,
                 message_id=message.id,
                 rating=args['rating'],
@@ -187,167 +145,67 @@ class MessageAnnotationApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, app_id):
-        app_id = str(app_id)
-
-        # get app info
-        app = _get_app(app_id)
+    @cloud_edition_billing_resource_check('annotation')
+    @get_app_model
+    @marshal_with(annotation_fields)
+    def post(self, app_model):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
 
         parser = reqparse.RequestParser()
-        parser.add_argument('message_id', required=True, type=uuid_value, location='json')
-        parser.add_argument('content', type=str, location='json')
+        parser.add_argument('message_id', required=False, type=uuid_value, location='json')
+        parser.add_argument('question', required=True, type=str, location='json')
+        parser.add_argument('answer', required=True, type=str, location='json')
+        parser.add_argument('annotation_reply', required=False, type=dict, location='json')
         args = parser.parse_args()
+        annotation = AppAnnotationService.up_insert_app_annotation_from_message(args, app_model.id)
 
-        message_id = str(args['message_id'])
-
-        message = db.session.query(Message).filter(
-            Message.id == message_id,
-            Message.app_id == app.id
-        ).first()
-
-        if not message:
-            raise NotFound("Message Not Exists.")
-
-        annotation = message.annotation
-
-        if annotation:
-            annotation.content = args['content']
-        else:
-            annotation = MessageAnnotation(
-                app_id=app.id,
-                conversation_id=message.conversation_id,
-                message_id=message.id,
-                content=args['content'],
-                account_id=current_user.id
-            )
-            db.session.add(annotation)
-
-        db.session.commit()
-
-        return {'result': 'success'}
+        return annotation
 
 
 class MessageAnnotationCountApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self, app_id):
-        app_id = str(app_id)
-
-        # get app info
-        app = _get_app(app_id)
-
+    @get_app_model
+    def get(self, app_model):
         count = db.session.query(MessageAnnotation).filter(
-            MessageAnnotation.app_id == app.id
+            MessageAnnotation.app_id == app_model.id
         ).count()
 
         return {'count': count}
 
 
-class MessageMoreLikeThisApi(Resource):
-    @setup_required
-    @login_required
-    @account_initialization_required
-    def get(self, app_id, message_id):
-        app_id = str(app_id)
-        message_id = str(message_id)
-
-        parser = reqparse.RequestParser()
-        parser.add_argument('response_mode', type=str, required=True, choices=['blocking', 'streaming'],
-                            location='args')
-        args = parser.parse_args()
-
-        streaming = args['response_mode'] == 'streaming'
-
-        # get app info
-        app_model = _get_app(app_id, 'completion')
-
-        try:
-            response = CompletionService.generate_more_like_this(app_model, current_user, message_id, streaming)
-            return compact_response(response)
-        except MessageNotExistsError:
-            raise NotFound("Message Not Exists.")
-        except MoreLikeThisDisabledError:
-            raise AppMoreLikeThisDisabledError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
-        except QuotaExceededError:
-            raise ProviderQuotaExceededError()
-        except ModelCurrentlyNotSupportError:
-            raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
-        except ValueError as e:
-            raise e
-        except Exception as e:
-            logging.exception("internal server error.")
-            raise InternalServerError()
-
-
-def compact_response(response: Union[dict | Generator]) -> Response:
-    if isinstance(response, dict):
-        return Response(response=json.dumps(response), status=200, mimetype='application/json')
-    else:
-        def generate() -> Generator:
-            try:
-                for chunk in response:
-                    yield chunk
-            except MessageNotExistsError:
-                yield "data: " + json.dumps(api.handle_error(NotFound("Message Not Exists.")).get_json()) + "\n\n"
-            except MoreLikeThisDisabledError:
-                yield "data: " + json.dumps(api.handle_error(AppMoreLikeThisDisabledError()).get_json()) + "\n\n"
-            except ProviderTokenNotInitError:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
-            except QuotaExceededError:
-                yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
-            except ModelCurrentlyNotSupportError:
-                yield "data: " + json.dumps(
-                    api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n"
-            except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                    LLMRateLimitError, LLMAuthorizationError) as e:
-                yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n"
-            except ValueError as e:
-                yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n"
-            except Exception:
-                logging.exception("internal server error.")
-                yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n"
-
-        return Response(stream_with_context(generate()), status=200,
-                        mimetype='text/event-stream')
-
-
 class MessageSuggestedQuestionApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self, app_id, message_id):
-        app_id = str(app_id)
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
+    def get(self, app_model, message_id):
         message_id = str(message_id)
 
-        # get app info
-        app_model = _get_app(app_id, 'chat')
-
         try:
             questions = MessageService.get_suggested_questions_after_answer(
                 app_model=app_model,
-                user=current_user,
                 message_id=message_id,
-                check_enabled=False
+                user=current_user,
+                invoke_from=InvokeFrom.DEBUGGER
             )
         except MessageNotExistsError:
             raise NotFound("Message not found")
         except ConversationNotExistsError:
             raise NotFound("Conversation not found")
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
         except QuotaExceededError:
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
+        except SuggestedQuestionsAfterAnswerDisabledError:
+            raise AppSuggestedQuestionsAfterAnswerDisabledError()
         except Exception:
             logging.exception("internal server error.")
             raise InternalServerError()
@@ -359,14 +217,11 @@ class MessageApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model
     @marshal_with(message_detail_fields)
-    def get(self, app_id, message_id):
-        app_id = str(app_id)
+    def get(self, app_model, message_id):
         message_id = str(message_id)
 
-        # get app info
-        app_model = _get_app(app_id, 'chat')
-
         message = db.session.query(Message).filter(
             Message.id == message_id,
             Message.app_id == app_model.id
@@ -378,7 +233,6 @@ class MessageApi(Resource):
         return message
 
 
-api.add_resource(MessageMoreLikeThisApi, '/apps/<uuid:app_id>/completion-messages/<uuid:message_id>/more-like-this')
 api.add_resource(MessageSuggestedQuestionApi, '/apps/<uuid:app_id>/chat-messages/<uuid:message_id>/suggested-questions')
 api.add_resource(ChatMessageListApi, '/apps/<uuid:app_id>/chat-messages', endpoint='console_chat_messages')
 api.add_resource(MessageFeedbackApi, '/apps/<uuid:app_id>/feedbacks')

api/controllers/console/app/model_config.py

@@ -1,17 +1,20 @@
-# -*- coding:utf-8 -*-
 import json
 
 from flask import request
+from flask_login import current_user
 from flask_restful import Resource
-from flask_login import login_required, current_user
 
 from controllers.console import api
-from controllers.console.app import _get_app
+from controllers.console.app.wraps import get_app_model
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
+from core.agent.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 models.model import AppModelConfig
+from libs.login import login_required
+from models.model import AppMode, AppModelConfig
 from services.app_model_config_service import AppModelConfigService
 
 
@@ -20,33 +23,104 @@ class ModelConfigResource(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, app_id):
+    @get_app_model(mode=[AppMode.AGENT_CHAT, AppMode.CHAT, AppMode.COMPLETION])
+    def post(self, app_model):
         """Modify app model config"""
-        app_id = str(app_id)
-
-        app_model = _get_app(app_id)
-
         # validate config
         model_configuration = AppModelConfigService.validate_configuration(
-            account=current_user,
+            tenant_id=current_user.current_tenant_id,
             config=request.json,
-            mode=app_model.mode
+            app_mode=AppMode.value_of(app_model.mode)
         )
 
         new_app_model_config = AppModelConfig(
             app_id=app_model.id,
-            provider="",
-            model_id="",
-            configs={},
-            opening_statement=model_configuration['opening_statement'],
-            suggested_questions=json.dumps(model_configuration['suggested_questions']),
-            suggested_questions_after_answer=json.dumps(model_configuration['suggested_questions_after_answer']),
-            more_like_this=json.dumps(model_configuration['more_like_this']),
-            model=json.dumps(model_configuration['model']),
-            user_input_form=json.dumps(model_configuration['user_input_form']),
-            pre_prompt=model_configuration['pre_prompt'],
-            agent_mode=json.dumps(model_configuration['agent_mode']),
         )
+        new_app_model_config = new_app_model_config.from_model_config_dict(model_configuration)
+
+        if app_model.mode == AppMode.AGENT_CHAT.value or app_model.is_agent:
+            # get original app model config
+            original_app_model_config: AppModelConfig = db.session.query(AppModelConfig).filter(
+                AppModelConfig.id == app_model.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,
+                    )
+                    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,
+                        )
+                    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

@@ -1,32 +1,17 @@
-# -*- coding:utf-8 -*-
-from flask_login import login_required, current_user
-from flask_restful import Resource, reqparse, fields, marshal_with
-from werkzeug.exceptions import NotFound, Forbidden
+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
+from controllers.console.app.wraps import get_app_model
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from libs.helper import supported_language
 from extensions.ext_database import db
+from fields.app_fields import app_site_fields
+from libs.login import login_required
 from models.model import Site
 
-app_site_fields = {
-    'app_id': fields.String,
-    'access_token': fields.String(attribute='code'),
-    'code': fields.String,
-    'title': fields.String,
-    'icon': fields.String,
-    'icon_background': fields.String,
-    'description': fields.String,
-    'default_language': fields.String,
-    'customize_domain': fields.String,
-    'copyright': fields.String,
-    'privacy_policy': fields.String,
-    'customize_token_strategy': fields.String,
-    'prompt_public': fields.Boolean
-}
-
 
 def parse_app_site_args():
     parser = reqparse.RequestParser()
@@ -49,15 +34,13 @@ class AppSite(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model
     @marshal_with(app_site_fields)
-    def post(self, app_id):
+    def post(self, app_model):
         args = parse_app_site_args()
 
-        app_id = str(app_id)
-        app_model = _get_app(app_id)
-
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         site = db.session.query(Site). \
@@ -80,6 +63,13 @@ class AppSite(Resource):
             if value is not None:
                 setattr(site, attr_name, value)
 
+                if attr_name == 'title':
+                    app_model.name = value
+                elif attr_name == 'icon':
+                    app_model.icon = value
+                elif attr_name == 'icon_background':
+                    app_model.icon_background = value
+
         db.session.commit()
 
         return site
@@ -90,13 +80,11 @@ class AppSiteAccessTokenReset(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model
     @marshal_with(app_site_fields)
-    def post(self, app_id):
-        app_id = str(app_id)
-        app_model = _get_app(app_id)
-
+    def post(self, app_model):
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         site = db.session.query(Site).filter(Site.app_id == app_model.id).first()

api/controllers/console/app/statistic.py

@@ -1,17 +1,19 @@
-# -*- coding:utf-8 -*-
 from datetime import datetime
+from decimal import Decimal
 
 import pytz
 from flask import jsonify
-from flask_login import login_required, current_user
+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.app.wraps import get_app_model
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from libs.helper import datetime_string
 from extensions.ext_database import db
+from libs.helper import datetime_string
+from libs.login import login_required
+from models.model import AppMode
 
 
 class DailyConversationStatistic(Resource):
@@ -19,10 +21,9 @@ class DailyConversationStatistic(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self, app_id):
+    @get_app_model
+    def get(self, app_model):
         account = current_user
-        app_id = str(app_id)
-        app_model = _get_app(app_id)
 
         parser = reqparse.RequestParser()
         parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@@ -59,18 +60,19 @@ class DailyConversationStatistic(Resource):
             arg_dict['end'] = end_datetime_utc
 
         sql_query += ' GROUP BY date order by date'
-        rs = db.session.execute(sql_query, arg_dict)
 
-        response_date = []
+        response_data = []
 
-        for i in rs:
-            response_date.append({
-                'date': str(i.date),
-                'conversation_count': i.conversation_count
-            })
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'conversation_count': i.conversation_count
+                })
 
         return jsonify({
-            'data': response_date
+            'data': response_data
         })
 
 
@@ -79,10 +81,9 @@ class DailyTerminalsStatistic(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self, app_id):
+    @get_app_model
+    def get(self, app_model):
         account = current_user
-        app_id = str(app_id)
-        app_model = _get_app(app_id)
 
         parser = reqparse.RequestParser()
         parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@@ -119,18 +120,19 @@ class DailyTerminalsStatistic(Resource):
             arg_dict['end'] = end_datetime_utc
 
         sql_query += ' GROUP BY date order by date'
-        rs = db.session.execute(sql_query, arg_dict)
 
-        response_date = []
+        response_data = []
 
-        for i in rs:
-            response_date.append({
-                'date': str(i.date),
-                'terminal_count': i.terminal_count
-            })
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)            
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'terminal_count': i.terminal_count
+                })
 
         return jsonify({
-            'data': response_date
+            'data': response_data
         })
 
 
@@ -138,10 +140,9 @@ class DailyTokenCostStatistic(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self, app_id):
+    @get_app_model
+    def get(self, app_model):
         account = current_user
-        app_id = str(app_id)
-        app_model = _get_app(app_id)
 
         parser = reqparse.RequestParser()
         parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@@ -180,23 +181,278 @@ class DailyTokenCostStatistic(Resource):
             arg_dict['end'] = end_datetime_utc
 
         sql_query += ' GROUP BY date order by date'
-        rs = db.session.execute(sql_query, arg_dict)
 
-        response_date = []
+        response_data = []
 
-        for i in rs:
-            response_date.append({
-                'date': str(i.date),
-                'token_count': i.token_count,
-                'total_price': i.total_price,
-                'currency': 'USD'
-            })
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'token_count': i.token_count,
+                    'total_price': i.total_price,
+                    'currency': 'USD'
+                })
 
         return jsonify({
-            'data': response_date
+            'data': response_data
+        })
+
+
+class AverageSessionInteractionStatistic(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
+    def get(self, app_model):
+        account = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        args = parser.parse_args()
+
+        sql_query = """SELECT date(DATE_TRUNC('day', c.created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, 
+AVG(subquery.message_count) AS interactions
+FROM (SELECT m.conversation_id, COUNT(m.id) AS message_count
+    FROM conversations c
+    JOIN messages m ON c.id = m.conversation_id
+    WHERE c.override_model_configs IS NULL AND c.app_id = :app_id"""
+        arg_dict = {'tz': account.timezone, 'app_id': app_model.id}
+
+        timezone = pytz.timezone(account.timezone)
+        utc_timezone = pytz.utc
+
+        if args['start']:
+            start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
+            start_datetime = start_datetime.replace(second=0)
+
+            start_datetime_timezone = timezone.localize(start_datetime)
+            start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and c.created_at >= :start'
+            arg_dict['start'] = start_datetime_utc
+
+        if args['end']:
+            end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
+            end_datetime = end_datetime.replace(second=0)
+
+            end_datetime_timezone = timezone.localize(end_datetime)
+            end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and c.created_at < :end'
+            arg_dict['end'] = end_datetime_utc
+
+        sql_query += """
+        GROUP BY m.conversation_id) subquery
+LEFT JOIN conversations c on c.id=subquery.conversation_id
+GROUP BY date
+ORDER BY date"""
+
+        response_data = []
+        
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'interactions': float(i.interactions.quantize(Decimal('0.01')))
+                })
+
+        return jsonify({
+            'data': response_data
+        })
+
+
+class UserSatisfactionRateStatistic(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    def get(self, app_model):
+        account = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        args = parser.parse_args()
+
+        sql_query = '''
+                        SELECT date(DATE_TRUNC('day', m.created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, 
+                            COUNT(m.id) as message_count, COUNT(mf.id) as feedback_count 
+                            FROM messages m
+                            LEFT JOIN message_feedbacks mf on mf.message_id=m.id
+                            WHERE m.app_id = :app_id 
+                        '''
+        arg_dict = {'tz': account.timezone, 'app_id': app_model.id}
+
+        timezone = pytz.timezone(account.timezone)
+        utc_timezone = pytz.utc
+
+        if args['start']:
+            start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
+            start_datetime = start_datetime.replace(second=0)
+
+            start_datetime_timezone = timezone.localize(start_datetime)
+            start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and m.created_at >= :start'
+            arg_dict['start'] = start_datetime_utc
+
+        if args['end']:
+            end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
+            end_datetime = end_datetime.replace(second=0)
+
+            end_datetime_timezone = timezone.localize(end_datetime)
+            end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and m.created_at < :end'
+            arg_dict['end'] = end_datetime_utc
+
+        sql_query += ' GROUP BY date order by date'
+
+        response_data = []
+
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'rate': round((i.feedback_count * 1000 / i.message_count) if i.message_count > 0 else 0, 2),
+                })
+
+        return jsonify({
+            'data': response_data
+        })
+
+
+class AverageResponseTimeStatistic(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=AppMode.COMPLETION)
+    def get(self, app_model):
+        account = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        args = parser.parse_args()
+
+        sql_query = '''
+                SELECT date(DATE_TRUNC('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, 
+                    AVG(provider_response_latency) as latency
+                    FROM messages
+                    WHERE app_id = :app_id
+                '''
+        arg_dict = {'tz': account.timezone, 'app_id': app_model.id}
+
+        timezone = pytz.timezone(account.timezone)
+        utc_timezone = pytz.utc
+
+        if args['start']:
+            start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
+            start_datetime = start_datetime.replace(second=0)
+
+            start_datetime_timezone = timezone.localize(start_datetime)
+            start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and created_at >= :start'
+            arg_dict['start'] = start_datetime_utc
+
+        if args['end']:
+            end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
+            end_datetime = end_datetime.replace(second=0)
+
+            end_datetime_timezone = timezone.localize(end_datetime)
+            end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and created_at < :end'
+            arg_dict['end'] = end_datetime_utc
+
+        sql_query += ' GROUP BY date order by date'
+
+        response_data = []
+
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)            
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'latency': round(i.latency * 1000, 4)
+                })
+
+        return jsonify({
+            'data': response_data
+        })
+
+
+class TokensPerSecondStatistic(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    def get(self, app_model):
+        account = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        args = parser.parse_args()
+
+        sql_query = '''SELECT date(DATE_TRUNC('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, 
+    CASE 
+        WHEN SUM(provider_response_latency) = 0 THEN 0
+        ELSE (SUM(answer_tokens) / SUM(provider_response_latency))
+    END as tokens_per_second
+FROM messages
+WHERE app_id = :app_id'''
+        arg_dict = {'tz': account.timezone, 'app_id': app_model.id}
+
+        timezone = pytz.timezone(account.timezone)
+        utc_timezone = pytz.utc
+
+        if args['start']:
+            start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
+            start_datetime = start_datetime.replace(second=0)
+
+            start_datetime_timezone = timezone.localize(start_datetime)
+            start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and created_at >= :start'
+            arg_dict['start'] = start_datetime_utc
+
+        if args['end']:
+            end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
+            end_datetime = end_datetime.replace(second=0)
+
+            end_datetime_timezone = timezone.localize(end_datetime)
+            end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and created_at < :end'
+            arg_dict['end'] = end_datetime_utc
+
+        sql_query += ' GROUP BY date order by date'
+
+        response_data = []
+
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'tps': round(i.tokens_per_second, 4)
+                })
+
+        return jsonify({
+            'data': response_data
         })
 
 
 api.add_resource(DailyConversationStatistic, '/apps/<uuid:app_id>/statistics/daily-conversations')
 api.add_resource(DailyTerminalsStatistic, '/apps/<uuid:app_id>/statistics/daily-end-users')
 api.add_resource(DailyTokenCostStatistic, '/apps/<uuid:app_id>/statistics/token-costs')
+api.add_resource(AverageSessionInteractionStatistic, '/apps/<uuid:app_id>/statistics/average-session-interactions')
+api.add_resource(UserSatisfactionRateStatistic, '/apps/<uuid:app_id>/statistics/user-satisfaction-rate')
+api.add_resource(AverageResponseTimeStatistic, '/apps/<uuid:app_id>/statistics/average-response-time')
+api.add_resource(TokensPerSecondStatistic, '/apps/<uuid:app_id>/statistics/tokens-per-second')

api/controllers/console/app/workflow.py

@@ -0,0 +1,324 @@
+import json
+import logging
+
+from flask import abort, request
+from flask_restful import Resource, marshal_with, reqparse
+from werkzeug.exceptions import InternalServerError, NotFound
+
+import services
+from controllers.console import api
+from controllers.console.app.error import ConversationCompletedError, DraftWorkflowNotExist
+from controllers.console.app.wraps import get_app_model
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required
+from core.app.apps.base_app_queue_manager import AppQueueManager
+from core.app.entities.app_invoke_entities import InvokeFrom
+from fields.workflow_fields import workflow_fields
+from fields.workflow_run_fields import workflow_run_node_execution_fields
+from libs import helper
+from libs.helper import TimestampField, uuid_value
+from libs.login import current_user, login_required
+from models.model import App, AppMode
+from services.app_generate_service import AppGenerateService
+from services.workflow_service import WorkflowService
+
+logger = logging.getLogger(__name__)
+
+
+class DraftWorkflowApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    @marshal_with(workflow_fields)
+    def get(self, app_model: App):
+        """
+        Get draft workflow
+        """
+        # fetch draft workflow by app_model
+        workflow_service = WorkflowService()
+        workflow = workflow_service.get_draft_workflow(app_model=app_model)
+
+        if not workflow:
+            raise DraftWorkflowNotExist()
+
+        # return workflow, if not found, return None (initiate graph by frontend)
+        return workflow
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    def post(self, app_model: App):
+        """
+        Sync draft workflow
+        """
+        content_type = request.headers.get('Content-Type')
+
+        if 'application/json' in content_type:
+            parser = reqparse.RequestParser()
+            parser.add_argument('graph', type=dict, required=True, nullable=False, location='json')
+            parser.add_argument('features', type=dict, required=True, nullable=False, location='json')
+            args = parser.parse_args()
+        elif 'text/plain' in content_type:
+            try:
+                data = json.loads(request.data.decode('utf-8'))
+                if 'graph' not in data or 'features' not in data:
+                    raise ValueError('graph or features not found in data')
+
+                if not isinstance(data.get('graph'), dict) or not isinstance(data.get('features'), dict):
+                    raise ValueError('graph or features is not a dict')
+
+                args = {
+                    'graph': data.get('graph'),
+                    'features': data.get('features')
+                }
+            except json.JSONDecodeError:
+                return {'message': 'Invalid JSON data'}, 400
+        else:
+            abort(415)
+
+        workflow_service = WorkflowService()
+        workflow = workflow_service.sync_draft_workflow(
+            app_model=app_model,
+            graph=args.get('graph'),
+            features=args.get('features'),
+            account=current_user
+        )
+
+        return {
+            "result": "success",
+            "updated_at": TimestampField().format(workflow.updated_at or workflow.created_at)
+        }
+
+
+class AdvancedChatDraftWorkflowRunApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT])
+    def post(self, app_model: App):
+        """
+        Run draft workflow
+        """
+        parser = reqparse.RequestParser()
+        parser.add_argument('inputs', type=dict, location='json')
+        parser.add_argument('query', type=str, required=True, location='json', default='')
+        parser.add_argument('files', type=list, location='json')
+        parser.add_argument('conversation_id', type=uuid_value, location='json')
+        args = parser.parse_args()
+
+        try:
+            response = AppGenerateService.generate(
+                app_model=app_model,
+                user=current_user,
+                args=args,
+                invoke_from=InvokeFrom.DEBUGGER,
+                streaming=True
+            )
+
+            return helper.compact_generate_response(response)
+        except services.errors.conversation.ConversationNotExistsError:
+            raise NotFound("Conversation Not Exists.")
+        except services.errors.conversation.ConversationCompletedError:
+            raise ConversationCompletedError()
+        except ValueError as e:
+            raise e
+        except Exception as e:
+            logging.exception("internal server error.")
+            raise InternalServerError()
+
+
+class DraftWorkflowRunApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.WORKFLOW])
+    def post(self, app_model: App):
+        """
+        Run draft workflow
+        """
+        parser = reqparse.RequestParser()
+        parser.add_argument('inputs', type=dict, required=True, nullable=False, location='json')
+        parser.add_argument('files', type=list, required=False, location='json')
+        args = parser.parse_args()
+
+        try:
+            response = AppGenerateService.generate(
+                app_model=app_model,
+                user=current_user,
+                args=args,
+                invoke_from=InvokeFrom.DEBUGGER,
+                streaming=True
+            )
+
+            return helper.compact_generate_response(response)
+        except ValueError as e:
+            raise e
+        except Exception as e:
+            logging.exception("internal server error.")
+            raise InternalServerError()
+
+
+class WorkflowTaskStopApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    def post(self, app_model: App, task_id: str):
+        """
+        Stop workflow task
+        """
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, current_user.id)
+
+        return {
+            "result": "success"
+        }
+
+
+class DraftWorkflowNodeRunApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    @marshal_with(workflow_run_node_execution_fields)
+    def post(self, app_model: App, node_id: str):
+        """
+        Run draft workflow node
+        """
+        parser = reqparse.RequestParser()
+        parser.add_argument('inputs', type=dict, required=True, nullable=False, location='json')
+        args = parser.parse_args()
+
+        workflow_service = WorkflowService()
+        workflow_node_execution = workflow_service.run_draft_workflow_node(
+            app_model=app_model,
+            node_id=node_id,
+            user_inputs=args.get('inputs'),
+            account=current_user
+        )
+
+        return workflow_node_execution
+
+
+class PublishedWorkflowApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    @marshal_with(workflow_fields)
+    def get(self, app_model: App):
+        """
+        Get published workflow
+        """
+        # fetch published workflow by app_model
+        workflow_service = WorkflowService()
+        workflow = workflow_service.get_published_workflow(app_model=app_model)
+
+        # return workflow, if not found, return None
+        return workflow
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    def post(self, app_model: App):
+        """
+        Publish workflow
+        """
+        workflow_service = WorkflowService()
+        workflow = workflow_service.publish_workflow(app_model=app_model, account=current_user)
+
+        return {
+            "result": "success",
+            "created_at": TimestampField().format(workflow.created_at)
+        }
+
+
+class DefaultBlockConfigsApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    def get(self, app_model: App):
+        """
+        Get default block config
+        """
+        # Get default block configs
+        workflow_service = WorkflowService()
+        return workflow_service.get_default_block_configs()
+
+
+class DefaultBlockConfigApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    def get(self, app_model: App, block_type: str):
+        """
+        Get default block config
+        """
+        parser = reqparse.RequestParser()
+        parser.add_argument('q', type=str, location='args')
+        args = parser.parse_args()
+
+        filters = None
+        if args.get('q'):
+            try:
+                filters = json.loads(args.get('q'))
+            except json.JSONDecodeError:
+                raise ValueError('Invalid filters')
+
+        # Get default block configs
+        workflow_service = WorkflowService()
+        return workflow_service.get_default_block_config(
+            node_type=block_type,
+            filters=filters
+        )
+
+
+class ConvertToWorkflowApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.CHAT, AppMode.COMPLETION])
+    def post(self, app_model: App):
+        """
+        Convert basic mode of chatbot app to workflow mode
+        Convert expert mode of chatbot app to workflow mode
+        Convert Completion App to Workflow App
+        """
+        if request.data:
+            parser = reqparse.RequestParser()
+            parser.add_argument('name', type=str, required=False, nullable=True, location='json')
+            parser.add_argument('icon', type=str, required=False, nullable=True, location='json')
+            parser.add_argument('icon_background', type=str, required=False, nullable=True, location='json')
+            args = parser.parse_args()
+        else:
+            args = {}
+
+        # convert to workflow mode
+        workflow_service = WorkflowService()
+        new_app_model = workflow_service.convert_to_workflow(
+            app_model=app_model,
+            account=current_user,
+            args=args
+        )
+
+        # return app id
+        return {
+            'new_app_id': new_app_model.id,
+        }
+
+
+api.add_resource(DraftWorkflowApi, '/apps/<uuid:app_id>/workflows/draft')
+api.add_resource(AdvancedChatDraftWorkflowRunApi, '/apps/<uuid:app_id>/advanced-chat/workflows/draft/run')
+api.add_resource(DraftWorkflowRunApi, '/apps/<uuid:app_id>/workflows/draft/run')
+api.add_resource(WorkflowTaskStopApi, '/apps/<uuid:app_id>/workflow-runs/tasks/<string:task_id>/stop')
+api.add_resource(DraftWorkflowNodeRunApi, '/apps/<uuid:app_id>/workflows/draft/nodes/<string:node_id>/run')
+api.add_resource(PublishedWorkflowApi, '/apps/<uuid:app_id>/workflows/publish')
+api.add_resource(DefaultBlockConfigsApi, '/apps/<uuid:app_id>/workflows/default-workflow-block-configs')
+api.add_resource(DefaultBlockConfigApi, '/apps/<uuid:app_id>/workflows/default-workflow-block-configs'
+                                        '/<string:block_type>')
+api.add_resource(ConvertToWorkflowApi, '/apps/<uuid:app_id>/convert-to-workflow')

api/controllers/console/app/workflow_app_log.py

@@ -0,0 +1,41 @@
+from flask_restful import Resource, marshal_with, reqparse
+from flask_restful.inputs import int_range
+
+from controllers.console import api
+from controllers.console.app.wraps import get_app_model
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required
+from fields.workflow_app_log_fields import workflow_app_log_pagination_fields
+from libs.login import login_required
+from models.model import App, AppMode
+from services.workflow_app_service import WorkflowAppService
+
+
+class WorkflowAppLogApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.WORKFLOW])
+    @marshal_with(workflow_app_log_pagination_fields)
+    def get(self, app_model: App):
+        """
+        Get workflow app logs
+        """
+        parser = reqparse.RequestParser()
+        parser.add_argument('keyword', type=str, location='args')
+        parser.add_argument('status', type=str, choices=['succeeded', 'failed', 'stopped'], location='args')
+        parser.add_argument('page', type=int_range(1, 99999), default=1, location='args')
+        parser.add_argument('limit', type=int_range(1, 100), default=20, location='args')
+        args = parser.parse_args()
+
+        # get paginate workflow app logs
+        workflow_app_service = WorkflowAppService()
+        workflow_app_log_pagination = workflow_app_service.get_paginate_workflow_app_logs(
+            app_model=app_model,
+            args=args
+        )
+
+        return workflow_app_log_pagination
+
+
+api.add_resource(WorkflowAppLogApi, '/apps/<uuid:app_id>/workflow-app-logs')

api/controllers/console/app/workflow_run.py

@@ -0,0 +1,109 @@
+from flask_restful import Resource, marshal_with, reqparse
+from flask_restful.inputs import int_range
+
+from controllers.console import api
+from controllers.console.app.wraps import get_app_model
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required
+from fields.workflow_run_fields import (
+    advanced_chat_workflow_run_pagination_fields,
+    workflow_run_detail_fields,
+    workflow_run_node_execution_list_fields,
+    workflow_run_pagination_fields,
+)
+from libs.helper import uuid_value
+from libs.login import login_required
+from models.model import App, AppMode
+from services.workflow_run_service import WorkflowRunService
+
+
+class AdvancedChatAppWorkflowRunListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT])
+    @marshal_with(advanced_chat_workflow_run_pagination_fields)
+    def get(self, app_model: App):
+        """
+        Get advanced chat app workflow run list
+        """
+        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')
+        args = parser.parse_args()
+
+        workflow_run_service = WorkflowRunService()
+        result = workflow_run_service.get_paginate_advanced_chat_workflow_runs(
+            app_model=app_model,
+            args=args
+        )
+
+        return result
+
+
+class WorkflowRunListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    @marshal_with(workflow_run_pagination_fields)
+    def get(self, app_model: App):
+        """
+        Get workflow run list
+        """
+        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')
+        args = parser.parse_args()
+
+        workflow_run_service = WorkflowRunService()
+        result = workflow_run_service.get_paginate_workflow_runs(
+            app_model=app_model,
+            args=args
+        )
+
+        return result
+
+
+class WorkflowRunDetailApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    @marshal_with(workflow_run_detail_fields)
+    def get(self, app_model: App, run_id):
+        """
+        Get workflow run detail
+        """
+        run_id = str(run_id)
+
+        workflow_run_service = WorkflowRunService()
+        workflow_run = workflow_run_service.get_workflow_run(app_model=app_model, run_id=run_id)
+
+        return workflow_run
+
+
+class WorkflowRunNodeExecutionListApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
+    @marshal_with(workflow_run_node_execution_list_fields)
+    def get(self, app_model: App, run_id):
+        """
+        Get workflow run node execution list
+        """
+        run_id = str(run_id)
+
+        workflow_run_service = WorkflowRunService()
+        node_executions = workflow_run_service.get_workflow_run_node_executions(app_model=app_model, run_id=run_id)
+
+        return {
+            'data': node_executions
+        }
+
+
+api.add_resource(AdvancedChatAppWorkflowRunListApi, '/apps/<uuid:app_id>/advanced-chat/workflow-runs')
+api.add_resource(WorkflowRunListApi, '/apps/<uuid:app_id>/workflow-runs')
+api.add_resource(WorkflowRunDetailApi, '/apps/<uuid:app_id>/workflow-runs/<uuid:run_id>')
+api.add_resource(WorkflowRunNodeExecutionListApi, '/apps/<uuid:app_id>/workflow-runs/<uuid:run_id>/node-executions')

api/controllers/console/app/workflow_statistic.py

@@ -0,0 +1,278 @@
+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.wraps import get_app_model
+from controllers.console.setup import setup_required
+from controllers.console.wraps import account_initialization_required
+from extensions.ext_database import db
+from libs.helper import datetime_string
+from libs.login import login_required
+from models.model import AppMode
+from models.workflow import WorkflowRunTriggeredFrom
+
+
+class WorkflowDailyRunsStatistic(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    def get(self, app_model):
+        account = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        args = parser.parse_args()
+
+        sql_query = '''
+        SELECT date(DATE_TRUNC('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, count(id) AS runs
+            FROM workflow_runs 
+            WHERE app_id = :app_id 
+                AND triggered_from = :triggered_from
+        '''
+        arg_dict = {'tz': account.timezone, 'app_id': app_model.id, 'triggered_from': WorkflowRunTriggeredFrom.APP_RUN.value}
+
+        timezone = pytz.timezone(account.timezone)
+        utc_timezone = pytz.utc
+
+        if args['start']:
+            start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
+            start_datetime = start_datetime.replace(second=0)
+
+            start_datetime_timezone = timezone.localize(start_datetime)
+            start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and created_at >= :start'
+            arg_dict['start'] = start_datetime_utc
+
+        if args['end']:
+            end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
+            end_datetime = end_datetime.replace(second=0)
+
+            end_datetime_timezone = timezone.localize(end_datetime)
+            end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and created_at < :end'
+            arg_dict['end'] = end_datetime_utc
+
+        sql_query += ' GROUP BY date order by date'
+
+        response_data = []
+
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'runs': i.runs
+                })
+
+        return jsonify({
+            'data': response_data
+        })
+
+class WorkflowDailyTerminalsStatistic(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    def get(self, app_model):
+        account = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        args = parser.parse_args()
+
+        sql_query = '''
+                SELECT date(DATE_TRUNC('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, count(distinct workflow_runs.created_by) AS terminal_count
+                    FROM workflow_runs 
+                    WHERE app_id = :app_id 
+                        AND triggered_from = :triggered_from
+                '''
+        arg_dict = {'tz': account.timezone, 'app_id': app_model.id, 'triggered_from': WorkflowRunTriggeredFrom.APP_RUN.value}
+
+        timezone = pytz.timezone(account.timezone)
+        utc_timezone = pytz.utc
+
+        if args['start']:
+            start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
+            start_datetime = start_datetime.replace(second=0)
+
+            start_datetime_timezone = timezone.localize(start_datetime)
+            start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and created_at >= :start'
+            arg_dict['start'] = start_datetime_utc
+
+        if args['end']:
+            end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
+            end_datetime = end_datetime.replace(second=0)
+
+            end_datetime_timezone = timezone.localize(end_datetime)
+            end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and created_at < :end'
+            arg_dict['end'] = end_datetime_utc
+
+        sql_query += ' GROUP BY date order by date'
+
+        response_data = []
+
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)            
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'terminal_count': i.terminal_count
+                })
+
+        return jsonify({
+            'data': response_data
+        })
+
+class WorkflowDailyTokenCostStatistic(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model
+    def get(self, app_model):
+        account = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        args = parser.parse_args()
+
+        sql_query = '''
+                SELECT 
+                    date(DATE_TRUNC('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, 
+                    SUM(workflow_runs.total_tokens) as token_count
+                FROM workflow_runs 
+                WHERE app_id = :app_id 
+                    AND triggered_from = :triggered_from
+                '''
+        arg_dict = {'tz': account.timezone, 'app_id': app_model.id, 'triggered_from': WorkflowRunTriggeredFrom.APP_RUN.value}
+
+        timezone = pytz.timezone(account.timezone)
+        utc_timezone = pytz.utc
+
+        if args['start']:
+            start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
+            start_datetime = start_datetime.replace(second=0)
+
+            start_datetime_timezone = timezone.localize(start_datetime)
+            start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and created_at >= :start'
+            arg_dict['start'] = start_datetime_utc
+
+        if args['end']:
+            end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
+            end_datetime = end_datetime.replace(second=0)
+
+            end_datetime_timezone = timezone.localize(end_datetime)
+            end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query += ' and created_at < :end'
+            arg_dict['end'] = end_datetime_utc
+
+        sql_query += ' GROUP BY date order by date'
+
+        response_data = []
+
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'token_count': i.token_count,
+                })
+
+        return jsonify({
+            'data': response_data
+        })
+
+class WorkflowAverageAppInteractionStatistic(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.WORKFLOW])
+    def get(self, app_model):
+        account = current_user
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
+        args = parser.parse_args()
+
+        sql_query = """
+            SELECT 
+                AVG(sub.interactions) as interactions,
+                sub.date
+            FROM
+                (SELECT 
+                    date(DATE_TRUNC('day', c.created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, 
+                    c.created_by,
+                    COUNT(c.id) AS interactions
+                FROM workflow_runs c
+                WHERE c.app_id = :app_id
+                    AND c.triggered_from = :triggered_from
+                    {{start}}
+                    {{end}}
+                GROUP BY date, c.created_by) sub
+            GROUP BY sub.created_by, sub.date
+            """
+        arg_dict = {'tz': account.timezone, 'app_id': app_model.id, 'triggered_from': WorkflowRunTriggeredFrom.APP_RUN.value}
+
+        timezone = pytz.timezone(account.timezone)
+        utc_timezone = pytz.utc
+
+        if args['start']:
+            start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
+            start_datetime = start_datetime.replace(second=0)
+
+            start_datetime_timezone = timezone.localize(start_datetime)
+            start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query = sql_query.replace('{{start}}', ' AND c.created_at >= :start')
+            arg_dict['start'] = start_datetime_utc
+        else:
+            sql_query = sql_query.replace('{{start}}', '')
+
+        if args['end']:
+            end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
+            end_datetime = end_datetime.replace(second=0)
+
+            end_datetime_timezone = timezone.localize(end_datetime)
+            end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
+
+            sql_query = sql_query.replace('{{end}}', ' and c.created_at < :end')
+            arg_dict['end'] = end_datetime_utc
+        else:
+            sql_query = sql_query.replace('{{end}}', '')
+
+        response_data = []
+        
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql_query), arg_dict)
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'interactions': float(i.interactions.quantize(Decimal('0.01')))
+                })
+
+        return jsonify({
+            'data': response_data
+        })
+
+api.add_resource(WorkflowDailyRunsStatistic, '/apps/<uuid:app_id>/workflow/statistics/daily-conversations')
+api.add_resource(WorkflowDailyTerminalsStatistic, '/apps/<uuid:app_id>/workflow/statistics/daily-terminals')
+api.add_resource(WorkflowDailyTokenCostStatistic, '/apps/<uuid:app_id>/workflow/statistics/token-costs')
+api.add_resource(WorkflowAverageAppInteractionStatistic, '/apps/<uuid:app_id>/workflow/statistics/average-app-interactions')

api/controllers/console/app/wraps.py

@@ -0,0 +1,55 @@
+from collections.abc import Callable
+from functools import wraps
+from typing import Optional, Union
+
+from controllers.console.app.error import AppNotFoundError
+from extensions.ext_database import db
+from libs.login import current_user
+from models.model import App, AppMode
+
+
+def get_app_model(view: Optional[Callable] = None, *,
+                  mode: Union[AppMode, list[AppMode]] = None):
+    def decorator(view_func):
+        @wraps(view_func)
+        def decorated_view(*args, **kwargs):
+            if not kwargs.get('app_id'):
+                raise ValueError('missing app_id in path parameters')
+
+            app_id = kwargs.get('app_id')
+            app_id = str(app_id)
+
+            del kwargs['app_id']
+
+            app_model = db.session.query(App).filter(
+                App.id == app_id,
+                App.tenant_id == current_user.current_tenant_id,
+                App.status == 'normal'
+            ).first()
+
+            if not app_model:
+                raise AppNotFoundError()
+
+            app_mode = AppMode.value_of(app_model.mode)
+            if app_mode == AppMode.CHANNEL:
+                raise AppNotFoundError()
+
+            if mode is not None:
+                if isinstance(mode, list):
+                    modes = mode
+                else:
+                    modes = [mode]
+
+                if app_mode not in modes:
+                    mode_values = {m.value for m in modes}
+                    raise AppNotFoundError(f"App mode is not in the supported list: {mode_values}")
+
+            kwargs['app_model'] = app_model
+
+            return view_func(*args, **kwargs)
+        return decorated_view
+
+    if view is None:
+        return decorator
+    else:
+        return decorator(view)

api/controllers/console/auth/activate.py

@@ -0,0 +1,76 @@
+import base64
+import datetime
+import secrets
+
+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 libs.helper import email, str_len, timezone
+from libs.password import hash_password, valid_password
+from models.account import AccountStatus
+from services.account_service import RegisterService
+
+
+class ActivateCheckApi(Resource):
+    def get(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument('workspace_id', type=str, required=False, nullable=True, location='args')
+        parser.add_argument('email', type=email, required=False, nullable=True, location='args')
+        parser.add_argument('token', type=str, required=True, nullable=False, location='args')
+        args = parser.parse_args()
+
+        workspaceId = args['workspace_id']
+        reg_email = args['email']
+        token = args['token']
+
+        invitation = RegisterService.get_invitation_if_token_valid(workspaceId, reg_email, token)
+
+        return {'is_valid': invitation is not None, 'workspace_name': invitation['tenant'].name if invitation else None}
+
+
+class ActivateApi(Resource):
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument('workspace_id', type=str, required=False, nullable=True, location='json')
+        parser.add_argument('email', type=email, required=False, nullable=True, location='json')
+        parser.add_argument('token', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('name', type=str_len(30), required=True, nullable=False, location='json')
+        parser.add_argument('password', type=valid_password, required=True, nullable=False, location='json')
+        parser.add_argument('interface_language', type=supported_language, required=True, nullable=False,
+                            location='json')
+        parser.add_argument('timezone', type=timezone, required=True, nullable=False, location='json')
+        args = parser.parse_args()
+
+        invitation = RegisterService.get_invitation_if_token_valid(args['workspace_id'], args['email'], args['token'])
+        if invitation is None:
+            raise AlreadyActivateError()
+
+        RegisterService.revoke_token(args['workspace_id'], args['email'], args['token'])
+
+        account = invitation['account']
+        account.name = args['name']
+
+        # generate password salt
+        salt = secrets.token_bytes(16)
+        base64_salt = base64.b64encode(salt).decode()
+
+        # encrypt password with salt
+        password_hashed = hash_password(args['password'], salt)
+        base64_password_hashed = base64.b64encode(password_hashed).decode()
+        account.password = base64_password_hashed
+        account.password_salt = base64_salt
+        account.interface_language = args['interface_language']
+        account.timezone = args['timezone']
+        account.interface_theme = 'light'
+        account.status = AccountStatus.ACTIVE.value
+        account.initialized_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
+        db.session.commit()
+
+        return {'result': 'success'}
+
+
+api.add_resource(ActivateCheckApi, '/activate/check')
+api.add_resource(ActivateApi, '/activate')

api/controllers/console/auth/data_source_oauth.py

@@ -0,0 +1,116 @@
+import logging
+
+import requests
+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 ..setup import setup_required
+from ..wraps import account_initialization_required
+
+
+def get_oauth_providers():
+    with current_app.app_context():
+        notion_oauth = NotionOAuth(client_id=current_app.config.get('NOTION_CLIENT_ID'),
+                                   client_secret=current_app.config.get(
+                                       'NOTION_CLIENT_SECRET'),
+                                   redirect_uri=current_app.config.get(
+                                       'CONSOLE_API_URL') + '/console/api/oauth/data-source/callback/notion')
+
+        OAUTH_PROVIDERS = {
+            'notion': notion_oauth
+        }
+        return OAUTH_PROVIDERS
+
+
+class OAuthDataSource(Resource):
+    def get(self, provider: str):
+        # The role of the current user in the table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+        OAUTH_DATASOURCE_PROVIDERS = get_oauth_providers()
+        with current_app.app_context():
+            oauth_provider = OAUTH_DATASOURCE_PROVIDERS.get(provider)
+            print(vars(oauth_provider))
+        if not oauth_provider:
+            return {'error': 'Invalid provider'}, 400
+        if current_app.config.get('NOTION_INTEGRATION_TYPE') == 'internal':
+            internal_secret = current_app.config.get('NOTION_INTERNAL_SECRET')
+            oauth_provider.save_internal_access_token(internal_secret)
+            return { 'data': '' }
+        else:
+            auth_url = oauth_provider.get_authorization_url()
+            return { 'data': auth_url }, 200
+
+
+
+
+class OAuthDataSourceCallback(Resource):
+    def get(self, provider: str):
+        OAUTH_DATASOURCE_PROVIDERS = get_oauth_providers()
+        with current_app.app_context():
+            oauth_provider = OAUTH_DATASOURCE_PROVIDERS.get(provider)
+        if not oauth_provider:
+            return {'error': 'Invalid provider'}, 400
+        if 'code' in request.args:
+            code = request.args.get('code')
+
+            return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}?type=notion&code={code}')
+        elif 'error' in request.args:
+            error = request.args.get('error')
+
+            return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}?type=notion&error={error}')
+        else:
+            return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}?type=notion&error=Access denied')
+        
+
+class OAuthDataSourceBinding(Resource):
+    def get(self, provider: str):
+        OAUTH_DATASOURCE_PROVIDERS = get_oauth_providers()
+        with current_app.app_context():
+            oauth_provider = OAUTH_DATASOURCE_PROVIDERS.get(provider)
+        if not oauth_provider:
+            return {'error': 'Invalid provider'}, 400
+        if 'code' in request.args:
+            code = request.args.get('code')
+            try:
+                oauth_provider.get_access_token(code)
+            except requests.exceptions.HTTPError as e:
+                logging.exception(
+                    f"An error occurred during the OAuthCallback process with {provider}: {e.response.text}")
+                return {'error': 'OAuth data source process failed'}, 400
+
+            return {'result': 'success'}, 200
+
+
+class OAuthDataSourceSync(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, provider, binding_id):
+        provider = str(provider)
+        binding_id = str(binding_id)
+        OAUTH_DATASOURCE_PROVIDERS = get_oauth_providers()
+        with current_app.app_context():
+            oauth_provider = OAUTH_DATASOURCE_PROVIDERS.get(provider)
+        if not oauth_provider:
+            return {'error': 'Invalid provider'}, 400
+        try:
+            oauth_provider.sync_data_source(binding_id)
+        except requests.exceptions.HTTPError as e:
+            logging.exception(
+                f"An error occurred during the OAuthCallback process with {provider}: {e.response.text}")
+            return {'error': 'OAuth data source process failed'}, 400
+
+        return {'result': 'success'}, 200
+
+
+api.add_resource(OAuthDataSource, '/oauth/data-source/<string:provider>')
+api.add_resource(OAuthDataSourceCallback, '/oauth/data-source/callback/<string:provider>')
+api.add_resource(OAuthDataSourceBinding, '/oauth/data-source/binding/<string:provider>')
+api.add_resource(OAuthDataSourceSync, '/oauth/data-source/<string:provider>/<uuid:binding_id>/sync')

api/controllers/console/auth/login.py

@@ -1,12 +1,9 @@
-# -*- coding:utf-8 -*-
-import flask
 import flask_login
-from flask import request, current_app
+from flask import current_app, request
 from flask_restful import Resource, reqparse
 
 import services
 from controllers.console import api
-from controllers.console.error import AccountNotLinkTenantError
 from controllers.console.setup import setup_required
 from libs.helper import email
 from libs.password import valid_password
@@ -32,24 +29,20 @@ class LoginApi(Resource):
         except services.errors.account.AccountLoginError:
             return {'code': 'unauthorized', 'message': 'Invalid email or password'}, 401
 
-        try:
-            TenantService.switch_tenant(account)
-        except Exception:
-            raise AccountNotLinkTenantError("Account not link tenant")
+        TenantService.create_owner_tenant_if_not_exist(account)
 
-        flask_login.login_user(account, remember=args['remember_me'])
         AccountService.update_last_login(account, request)
 
         # todo: return the user info
+        token = AccountService.get_account_jwt_token(account)
 
-        return {'result': 'success'}
+        return {'result': 'success', 'data': token}
 
 
 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

@@ -1,16 +1,17 @@
 import logging
-from datetime import datetime
+from datetime import datetime, timezone
 from typing import Optional
 
-import flask_login
 import requests
-from flask import request, redirect, current_app, session
+from flask import current_app, redirect, request
 from flask_restful import Resource
 
-from libs.oauth import OAuthUserInfo, GitHubOAuth, GoogleOAuth
+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
 
 
@@ -20,13 +21,13 @@ def get_oauth_providers():
                                    client_secret=current_app.config.get(
                                        'GITHUB_CLIENT_SECRET'),
                                    redirect_uri=current_app.config.get(
-                                       'CONSOLE_URL') + '/console/api/oauth/authorize/github')
+                                       'CONSOLE_API_URL') + '/console/api/oauth/authorize/github')
 
         google_oauth = GoogleOAuth(client_id=current_app.config.get('GOOGLE_CLIENT_ID'),
                                    client_secret=current_app.config.get(
                                        'GOOGLE_CLIENT_SECRET'),
                                    redirect_uri=current_app.config.get(
-                                       'CONSOLE_URL') + '/console/api/oauth/authorize/google')
+                                       'CONSOLE_API_URL') + '/console/api/oauth/authorize/google')
 
         OAUTH_PROVIDERS = {
             'github': github_oauth,
@@ -72,15 +73,16 @@ class OAuthCallback(Resource):
 
         if account.status == AccountStatus.PENDING.value:
             account.status = AccountStatus.ACTIVE.value
-            account.initialized_at = datetime.utcnow()
+            account.initialized_at = datetime.now(timezone.utc).replace(tzinfo=None)
             db.session.commit()
 
-        # login user
-        session.clear()
-        flask_login.login_user(account, remember=True)
+        TenantService.create_owner_tenant_if_not_exist(account)
+
         AccountService.update_last_login(account, request)
 
-        return redirect(f'{current_app.config.get("CONSOLE_URL")}?oauth_login=success')
+        token = AccountService.get_account_jwt_token(account)
+
+        return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}?console_token={token}')
 
 
 def _get_account_by_openid_or_email(provider: str, user_info: OAuthUserInfo) -> Optional[Account]:
@@ -108,11 +110,11 @@ def _generate_account(provider: str, user_info: OAuthUserInfo):
         )
 
         # Set interface language
-        preferred_lang = request.accept_languages.best_match(['zh', 'en'])
-        if preferred_lang == 'zh':
-            interface_language = 'zh-Hans'
+        preferred_lang = request.accept_languages.best_match(languages)
+        if preferred_lang and preferred_lang in languages:
+            interface_language = preferred_lang
         else:
-            interface_language = 'en-US'
+            interface_language = languages[0]
         account.interface_language = interface_language
         db.session.commit()
 

api/controllers/console/billing/billing.py

@@ -0,0 +1,44 @@
+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 libs.login import login_required
+from services.billing_service import BillingService
+
+
+class Subscription(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @only_edition_cloud
+    def get(self):
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('plan', type=str, required=True, location='args', choices=['professional', 'team'])
+        parser.add_argument('interval', type=str, required=True, location='args', choices=['month', 'year'])
+        args = parser.parse_args()
+
+        BillingService.is_tenant_owner_or_admin(current_user)
+
+        return BillingService.get_subscription(args['plan'],
+                                               args['interval'],
+                                               current_user.email,
+                                               current_user.current_tenant_id)
+
+
+class Invoices(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @only_edition_cloud
+    def get(self):
+        BillingService.is_tenant_owner_or_admin(current_user)
+        return BillingService.get_invoices(current_user.email, current_user.current_tenant_id)
+
+
+api.add_resource(Subscription, '/billing/subscription')
+api.add_resource(Invoices, '/billing/invoices')

api/controllers/console/datasets/data_source.py

@@ -0,0 +1,267 @@
+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.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 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
+
+
+class DataSourceApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(integrate_list_fields)
+    def get(self):
+        # get workspace data source integrates
+        data_source_integrates = db.session.query(DataSourceBinding).filter(
+            DataSourceBinding.tenant_id == current_user.current_tenant_id,
+            DataSourceBinding.disabled == False
+        ).all()
+
+        base_url = request.url_root.rstrip('/')
+        data_source_oauth_base_path = "/console/api/oauth/data-source"
+        providers = ["notion"]
+
+        integrate_data = []
+        for provider in providers:
+            # existing_integrate = next((ai for ai in data_source_integrates if ai.provider == provider), None)
+            existing_integrates = filter(lambda item: item.provider == provider, data_source_integrates)
+            if existing_integrates:
+                for existing_integrate in list(existing_integrates):
+                    integrate_data.append({
+                        'id': existing_integrate.id,
+                        'provider': provider,
+                        'created_at': existing_integrate.created_at,
+                        'is_bound': True,
+                        'disabled': existing_integrate.disabled,
+                        'source_info': existing_integrate.source_info,
+                        'link': f'{base_url}{data_source_oauth_base_path}/{provider}'
+                })
+            else:
+                integrate_data.append({
+                    'id': None,
+                    'provider': provider,
+                    'created_at': None,
+                    'source_info': None,
+                    'is_bound': False,
+                    'disabled': None,
+                    'link': f'{base_url}{data_source_oauth_base_path}/{provider}'
+                })
+        return {'data': integrate_data}, 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def patch(self, binding_id, action):
+        binding_id = str(binding_id)
+        action = str(action)
+        data_source_binding = DataSourceBinding.query.filter_by(
+            id=binding_id
+        ).first()
+        if data_source_binding is None:
+            raise NotFound('Data source binding not found.')
+        # enable binding
+        if action == 'enable':
+            if data_source_binding.disabled:
+                data_source_binding.disabled = False
+                data_source_binding.updated_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
+                db.session.add(data_source_binding)
+                db.session.commit()
+            else:
+                raise ValueError('Data source is not disabled.')
+        # disable binding
+        if action == 'disable':
+            if not data_source_binding.disabled:
+                data_source_binding.disabled = True
+                data_source_binding.updated_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
+                db.session.add(data_source_binding)
+                db.session.commit()
+            else:
+                raise ValueError('Data source is disabled.')
+        return {'result': 'success'}, 200
+
+
+class DataSourceNotionListApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(integrate_notion_info_list_fields)
+    def get(self):
+        dataset_id = request.args.get('dataset_id', default=None, type=str)
+        exist_page_ids = []
+        # import notion in the exist dataset
+        if dataset_id:
+            dataset = DatasetService.get_dataset(dataset_id)
+            if not dataset:
+                raise NotFound('Dataset not found.')
+            if dataset.data_source_type != 'notion_import':
+                raise ValueError('Dataset is not notion type.')
+            documents = Document.query.filter_by(
+                dataset_id=dataset_id,
+                tenant_id=current_user.current_tenant_id,
+                data_source_type='notion_import',
+                enabled=True
+            ).all()
+            if documents:
+                for document in documents:
+                    data_source_info = json.loads(document.data_source_info)
+                    exist_page_ids.append(data_source_info['notion_page_id'])
+        # get all authorized pages
+        data_source_bindings = DataSourceBinding.query.filter_by(
+            tenant_id=current_user.current_tenant_id,
+            provider='notion',
+            disabled=False
+        ).all()
+        if not data_source_bindings:
+            return {
+                'notion_info': []
+            }, 200
+        pre_import_info_list = []
+        for data_source_binding in data_source_bindings:
+            source_info = data_source_binding.source_info
+            pages = source_info['pages']
+            # Filter out already bound pages
+            for page in pages:
+                if page['page_id'] in exist_page_ids:
+                    page['is_bound'] = True
+                else:
+                    page['is_bound'] = False
+            pre_import_info = {
+                'workspace_name': source_info['workspace_name'],
+                'workspace_icon': source_info['workspace_icon'],
+                'workspace_id': source_info['workspace_id'],
+                'pages': pages,
+            }
+            pre_import_info_list.append(pre_import_info)
+        return {
+            'notion_info': pre_import_info_list
+        }, 200
+
+
+class DataSourceNotionApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, workspace_id, page_id, page_type):
+        workspace_id = str(workspace_id)
+        page_id = str(page_id)
+        data_source_binding = DataSourceBinding.query.filter(
+            db.and_(
+                DataSourceBinding.tenant_id == current_user.current_tenant_id,
+                DataSourceBinding.provider == 'notion',
+                DataSourceBinding.disabled == False,
+                DataSourceBinding.source_info['workspace_id'] == f'"{workspace_id}"'
+            )
+        ).first()
+        if not data_source_binding:
+            raise NotFound('Data source binding not found.')
+
+        extractor = NotionExtractor(
+            notion_workspace_id=workspace_id,
+            notion_obj_id=page_id,
+            notion_page_type=page_type,
+            notion_access_token=data_source_binding.access_token,
+            tenant_id=current_user.current_tenant_id
+        )
+
+        text_docs = extractor.extract()
+        return {
+            'content': "\n".join([doc.page_content for doc in text_docs])
+        }, 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def post(self):
+        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.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                     args['process_rule'], args['doc_form'],
+                                                     args['doc_language'])
+        return response, 200
+
+
+class DataSourceNotionDatasetSyncApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, dataset_id):
+        dataset_id_str = str(dataset_id)
+        dataset = DatasetService.get_dataset(dataset_id_str)
+        if dataset is None:
+            raise NotFound("Dataset not found.")
+
+        documents = DocumentService.get_document_by_dataset_id(dataset_id_str)
+        for document in documents:
+            document_indexing_sync_task.delay(dataset_id_str, document.id)
+        return 200
+
+
+class DataSourceNotionDocumentSyncApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, dataset_id, document_id):
+        dataset_id_str = str(dataset_id)
+        document_id_str = str(document_id)
+        dataset = DatasetService.get_dataset(dataset_id_str)
+        if dataset is None:
+            raise NotFound("Dataset not found.")
+
+        document = DocumentService.get_document(dataset_id_str, document_id_str)
+        if document is None:
+            raise NotFound("Document not found.")
+        document_indexing_sync_task.delay(dataset_id_str, document_id_str)
+        return 200
+
+
+api.add_resource(DataSourceApi, '/data-source/integrates', '/data-source/integrates/<uuid:binding_id>/<string:action>')
+api.add_resource(DataSourceNotionListApi, '/notion/pre-import/pages')
+api.add_resource(DataSourceNotionApi,
+                 '/notion/workspaces/<uuid:workspace_id>/pages/<uuid:page_id>/<string:page_type>/preview',
+                 '/datasets/notion-indexing-estimate')
+api.add_resource(DataSourceNotionDatasetSyncApi, '/datasets/<uuid:dataset_id>/notion/sync')
+api.add_resource(DataSourceNotionDocumentSyncApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/notion/sync')

api/controllers/console/datasets/datasets.py

@@ -1,46 +1,29 @@
-# -*- coding:utf-8 -*-
-from flask import request
-from flask_login import login_required, current_user
-from flask_restful import Resource, reqparse, fields, marshal, marshal_with
-from werkzeug.exceptions import NotFound, Forbidden
+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
+from controllers.console.app.error import ProviderNotInitializeError
 from controllers.console.datasets.error import DatasetNameDuplicateError
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
+from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.indexing_runner import IndexingRunner
-from libs.helper import TimestampField
+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 models.model import UploadFile
-from services.dataset_service import DatasetService
-
-dataset_detail_fields = {
-    'id': fields.String,
-    'name': fields.String,
-    'description': fields.String,
-    'provider': fields.String,
-    'permission': fields.String,
-    'data_source_type': fields.String,
-    'indexing_technique': fields.String,
-    'app_count': fields.Integer,
-    'document_count': fields.Integer,
-    'word_count': fields.Integer,
-    'created_by': fields.String,
-    'created_at': TimestampField,
-    'updated_by': fields.String,
-    'updated_at': TimestampField,
-}
-
-dataset_query_detail_fields = {
-    "id": fields.String,
-    "content": fields.String,
-    "source": fields.String,
-    "source_app_id": fields.String,
-    "created_by_role": fields.String,
-    "created_by": fields.String,
-    "created_at": TimestampField
-}
+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 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
 
 
 def _validate_name(name):
@@ -50,8 +33,8 @@ def _validate_name(name):
 
 
 def _validate_description_length(description):
-    if len(description) > 200:
-        raise ValueError('Description cannot exceed 200 characters.')
+    if len(description) > 400:
+        raise ValueError('Description cannot exceed 400 characters.')
     return description
 
 
@@ -71,8 +54,34 @@ class DatasetListApi(Resource):
             datasets, total = DatasetService.get_datasets(page, limit, provider,
                                                           current_user.current_tenant_id, current_user)
 
+        # check embedding setting
+        provider_manager = ProviderManager()
+        configurations = provider_manager.get_configurations(
+            tenant_id=current_user.current_tenant_id
+        )
+
+        embedding_models = configurations.get_models(
+            model_type=ModelType.TEXT_EMBEDDING,
+            only_active=True
+        )
+
+        model_names = []
+        for embedding_model in embedding_models:
+            model_names.append(f"{embedding_model.model}:{embedding_model.provider.provider}")
+
+        data = marshal(datasets, dataset_detail_fields)
+        for item in data:
+            if item['indexing_technique'] == 'high_quality':
+                item_model = f"{item['embedding_model']}:{item['embedding_model_provider']}"
+                if item_model in model_names:
+                    item['embedding_available'] = True
+                else:
+                    item['embedding_available'] = False
+            else:
+                item['embedding_available'] = True
+
         response = {
-            'data': marshal(datasets, dataset_detail_fields),
+            'data': data,
             'has_more': len(datasets) == limit,
             'limit': limit,
             'total': total,
@@ -89,12 +98,13 @@ class DatasetListApi(Resource):
                             help='type is required. Name must be between 1 to 40 characters.',
                             type=_validate_name)
         parser.add_argument('indexing_technique', type=str, location='json',
-                            choices=('high_quality', 'economy'),
+                            choices=Dataset.INDEXING_TECHNIQUE_LIST,
+                            nullable=True,
                             help='Invalid indexing technique.')
         args = parser.parse_args()
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         try:
@@ -119,20 +129,47 @@ class DatasetApi(Resource):
         dataset = DatasetService.get_dataset(dataset_id_str)
         if dataset is None:
             raise NotFound("Dataset not found.")
-
         try:
             DatasetService.check_dataset_permission(
                 dataset, current_user)
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
+        data = marshal(dataset, dataset_detail_fields)
+        # check embedding setting
+        provider_manager = ProviderManager()
+        configurations = provider_manager.get_configurations(
+            tenant_id=current_user.current_tenant_id
+        )
 
-        return marshal(dataset, dataset_detail_fields), 200
+        embedding_models = configurations.get_models(
+            model_type=ModelType.TEXT_EMBEDDING,
+            only_active=True
+        )
+
+        model_names = []
+        for embedding_model in embedding_models:
+            model_names.append(f"{embedding_model.model}:{embedding_model.provider.provider}")
+
+        if data['indexing_technique'] == 'high_quality':
+            item_model = f"{data['embedding_model']}:{data['embedding_model_provider']}"
+            if item_model in model_names:
+                data['embedding_available'] = True
+            else:
+                data['embedding_available'] = False
+        else:
+            data['embedding_available'] = True
+        return data, 200
 
     @setup_required
     @login_required
     @account_initialization_required
     def patch(self, dataset_id):
         dataset_id_str = str(dataset_id)
+        dataset = DatasetService.get_dataset(dataset_id_str)
+        if dataset is None:
+            raise NotFound("Dataset not found.")
+        # check user's model setting
+        DatasetService.check_dataset_model_setting(dataset)
 
         parser = reqparse.RequestParser()
         parser.add_argument('name', nullable=False,
@@ -142,14 +179,16 @@ class DatasetApi(Resource):
                             location='json', store_missing=False,
                             type=_validate_description_length)
         parser.add_argument('indexing_technique', type=str, location='json',
-                            choices=('high_quality', 'economy'),
+                            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.')
         args = parser.parse_args()
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         dataset = DatasetService.update_dataset(
@@ -167,7 +206,7 @@ class DatasetApi(Resource):
         dataset_id_str = str(dataset_id)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         if DatasetService.delete_dataset(dataset_id_str, current_user):
@@ -217,33 +256,73 @@ class DatasetIndexingEstimateApi(Resource):
     @login_required
     @account_initialization_required
     def post(self):
-        segment_rule = request.get_json()
-        file_detail = db.session.query(UploadFile).filter(
-            UploadFile.tenant_id == current_user.current_tenant_id,
-            UploadFile.id == segment_rule["file_id"]
-        ).first()
+        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,
+                            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')
+        parser.add_argument('dataset_id', type=str, 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)
+        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(
+                UploadFile.tenant_id == current_user.current_tenant_id,
+                UploadFile.id.in_(file_ids)
+            ).all()
 
-        if file_detail is None:
-            raise NotFound("File not found.")
+            if file_details is None:
+                raise NotFound("File not found.")
 
+            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':
+            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()
-        response = indexing_runner.indexing_estimate(file_detail, segment_rule['process_rule'])
+        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
 
 
 class DatasetRelatedAppListApi(Resource):
-    app_detail_kernel_fields = {
-        'id': fields.String,
-        'name': fields.String,
-        'mode': fields.String,
-        'icon': fields.String,
-        'icon_background': fields.String,
-    }
-
-    related_app_list = {
-        'data': fields.List(fields.Nested(app_detail_kernel_fields)),
-        'total': fields.Integer,
-    }
 
     @setup_required
     @login_required
@@ -274,8 +353,168 @@ class DatasetRelatedAppListApi(Resource):
         }, 200
 
 
+class DatasetIndexingStatusApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, dataset_id):
+        dataset_id = str(dataset_id)
+        documents = db.session.query(Document).filter(
+            Document.dataset_id == dataset_id,
+            Document.tenant_id == current_user.current_tenant_id
+        ).all()
+        documents_status = []
+        for document in documents:
+            completed_segments = DocumentSegment.query.filter(DocumentSegment.completed_at.isnot(None),
+                                                              DocumentSegment.document_id == str(document.id),
+                                                              DocumentSegment.status != 're_segment').count()
+            total_segments = DocumentSegment.query.filter(DocumentSegment.document_id == str(document.id),
+                                                          DocumentSegment.status != 're_segment').count()
+            document.completed_segments = completed_segments
+            document.total_segments = total_segments
+            documents_status.append(marshal(document, document_status_fields))
+        data = {
+            'data': documents_status
+        }
+        return data
+
+
+class DatasetApiKeyApi(Resource):
+    max_keys = 10
+    token_prefix = 'dataset-'
+    resource_type = 'dataset'
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(api_key_list)
+    def get(self):
+        keys = db.session.query(ApiToken). \
+            filter(ApiToken.type == self.resource_type, ApiToken.tenant_id == current_user.current_tenant_id). \
+            all()
+        return {"items": keys}
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(api_key_fields)
+    def post(self):
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        current_key_count = db.session.query(ApiToken). \
+            filter(ApiToken.type == self.resource_type, ApiToken.tenant_id == current_user.current_tenant_id). \
+            count()
+
+        if current_key_count >= self.max_keys:
+            flask_restful.abort(
+                400,
+                message=f"Cannot create more than {self.max_keys} API keys for this resource type.",
+                code='max_keys_exceeded'
+            )
+
+        key = ApiToken.generate_api_key(self.token_prefix, 24)
+        api_token = ApiToken()
+        api_token.tenant_id = current_user.current_tenant_id
+        api_token.token = key
+        api_token.type = self.resource_type
+        db.session.add(api_token)
+        db.session.commit()
+        return api_token, 200
+
+
+class DatasetApiDeleteApi(Resource):
+    resource_type = 'dataset'
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def delete(self, api_key_id):
+        api_key_id = str(api_key_id)
+
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+
+        key = db.session.query(ApiToken). \
+            filter(ApiToken.tenant_id == current_user.current_tenant_id, ApiToken.type == self.resource_type,
+                   ApiToken.id == api_key_id). \
+            first()
+
+        if key is None:
+            flask_restful.abort(404, message='API key not found')
+
+        db.session.query(ApiToken).filter(ApiToken.id == api_key_id).delete()
+        db.session.commit()
+
+        return {'result': 'success'}, 204
+
+
+class DatasetApiBaseUrlApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        return {
+            'api_base_url': (current_app.config['SERVICE_API_URL'] if current_app.config['SERVICE_API_URL']
+                             else request.host_url.rstrip('/')) + '/v1'
+        }
+
+
+class DatasetRetrievalSettingApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        vector_type = current_app.config['VECTOR_STORE']
+        if vector_type == 'milvus':
+            return {
+                'retrieval_method': [
+                    'semantic_search'
+                ]
+            }
+        elif vector_type == 'qdrant' or vector_type == 'weaviate':
+            return {
+                'retrieval_method': [
+                    'semantic_search', 'full_text_search', 'hybrid_search'
+                ]
+            }
+        else:
+            raise ValueError("Unsupported vector db type.")
+
+
+class DatasetRetrievalSettingMockApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, vector_type):
+
+        if vector_type == 'milvus':
+            return {
+                'retrieval_method': [
+                    'semantic_search'
+                ]
+            }
+        elif vector_type == 'qdrant' or vector_type == 'weaviate':
+            return {
+                'retrieval_method': [
+                    'semantic_search', 'full_text_search', 'hybrid_search'
+                ]
+            }
+        else:
+            raise ValueError("Unsupported vector db type.")
+
+
 api.add_resource(DatasetListApi, '/datasets')
 api.add_resource(DatasetApi, '/datasets/<uuid:dataset_id>')
 api.add_resource(DatasetQueryApi, '/datasets/<uuid:dataset_id>/queries')
-api.add_resource(DatasetIndexingEstimateApi, '/datasets/file-indexing-estimate')
+api.add_resource(DatasetIndexingEstimateApi, '/datasets/indexing-estimate')
 api.add_resource(DatasetRelatedAppListApi, '/datasets/<uuid:dataset_id>/related-apps')
+api.add_resource(DatasetIndexingStatusApi, '/datasets/<uuid:dataset_id>/indexing-status')
+api.add_resource(DatasetApiKeyApi, '/datasets/api-keys')
+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

@@ -1,66 +1,53 @@
-# -*- coding:utf-8 -*-
-import random
-from datetime import datetime
+from datetime import datetime, timezone
 
 from flask import request
-from flask_login import login_required, current_user
+from flask_login import current_user
 from flask_restful import Resource, fields, marshal, marshal_with, reqparse
-from sqlalchemy import desc, asc
-from werkzeug.exceptions import NotFound, Forbidden
+from sqlalchemy import asc, desc
+from werkzeug.exceptions import Forbidden, NotFound
 
 import services
 from controllers.console import api
-from controllers.console.app.error import ProviderNotInitializeError, ProviderQuotaExceededError, \
-    ProviderModelCurrentlyNotSupportError
-from controllers.console.datasets.error import DocumentAlreadyFinishedError, InvalidActionError, DocumentIndexingError, \
-    InvalidMetadataError, ArchivedDocumentImmutableError
+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
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+from core.errors.error import (
+    LLMBadRequestError,
+    ModelCurrentlyNotSupportError,
+    ProviderTokenNotInitError,
+    QuotaExceededError,
+)
 from core.indexing_runner import IndexingRunner
-from core.llm.error import ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
-from extensions.ext_redis import redis_client
-from libs.helper import TimestampField
+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 models.dataset import DatasetProcessRule, Dataset
-from models.dataset import Document, DocumentSegment
+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 libs.login import login_required
+from models.dataset import Dataset, DatasetProcessRule, Document, DocumentSegment
 from models.model import UploadFile
-from services.dataset_service import DocumentService, DatasetService
+from services.dataset_service import DatasetService, DocumentService
 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
 
-dataset_fields = {
-    'id': fields.String,
-    'name': fields.String,
-    'description': fields.String,
-    'permission': fields.String,
-    'data_source_type': fields.String,
-    'indexing_technique': fields.String,
-    'created_by': fields.String,
-    'created_at': TimestampField,
-}
-
-document_fields = {
-    'id': fields.String,
-    'position': fields.Integer,
-    'data_source_type': fields.String,
-    'data_source_info': fields.Raw(attribute='data_source_info_dict'),
-    'dataset_process_rule_id': fields.String,
-    'name': fields.String,
-    'created_from': fields.String,
-    'created_by': fields.String,
-    'created_at': TimestampField,
-    'tokens': fields.Integer,
-    'indexing_status': fields.String,
-    'error': fields.String,
-    'enabled': fields.Boolean,
-    'disabled_at': TimestampField,
-    'disabled_by': fields.String,
-    'archived': fields.Boolean,
-    'display_status': fields.String,
-    'word_count': fields.Integer,
-    'hit_count': fields.Integer,
-}
-
 
 class DocumentResource(Resource):
     def get_document(self, dataset_id: str, document_id: str) -> Document:
@@ -83,6 +70,23 @@ class DocumentResource(Resource):
 
         return 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.')
+
+        try:
+            DatasetService.check_dataset_permission(dataset, current_user)
+        except services.errors.account.NoPermissionError as e:
+            raise Forbidden(str(e))
+
+        documents = DocumentService.get_batch_documents(dataset_id, batch)
+
+        if not documents:
+            raise NotFound('Documents not found.')
+
+        return documents
+
 
 class GetProcessRuleApi(Resource):
     @setup_required
@@ -92,6 +96,10 @@ 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']
         if document_id:
             # get the latest process rule
             document = Document.query.get_or_404(document_id)
@@ -112,11 +120,9 @@ class GetProcessRuleApi(Resource):
                 order_by(DatasetProcessRule.created_at.desc()). \
                 limit(1). \
                 one_or_none()
-            mode = dataset_process_rule.mode
-            rules = dataset_process_rule.rules_dict
-        else:
-            mode = DocumentService.DEFAULT_RULES['mode']
-            rules = DocumentService.DEFAULT_RULES['rules']
+            if dataset_process_rule:
+                mode = dataset_process_rule.mode
+                rules = dataset_process_rule.rules_dict
 
         return {
             'mode': mode,
@@ -132,9 +138,9 @@ class DatasetDocumentListApi(Resource):
         dataset_id = str(dataset_id)
         page = request.args.get('page', default=1, type=int)
         limit = request.args.get('limit', default=20, type=int)
-        search = request.args.get('search', default=None, type=str)
+        search = request.args.get('keyword', default=None, type=str)
         sort = request.args.get('sort', default='-created_at', type=str)
-
+        fetch = request.args.get('fetch', default=False, type=bool)
         dataset = DatasetService.get_dataset(dataset_id)
         if not dataset:
             raise NotFound('Dataset not found.')
@@ -173,9 +179,20 @@ class DatasetDocumentListApi(Resource):
         paginated_documents = query.paginate(
             page=page, per_page=limit, max_per_page=100, error_out=False)
         documents = paginated_documents.items
-
+        if fetch:
+            for document in documents:
+                completed_segments = DocumentSegment.query.filter(DocumentSegment.completed_at.isnot(None),
+                                                                  DocumentSegment.document_id == str(document.id),
+                                                                  DocumentSegment.status != 're_segment').count()
+                total_segments = DocumentSegment.query.filter(DocumentSegment.document_id == str(document.id),
+                                                              DocumentSegment.status != 're_segment').count()
+                document.completed_segments = completed_segments
+                document.total_segments = total_segments
+            data = marshal(documents, document_with_segments_fields)
+        else:
+            data = marshal(documents, document_fields)
         response = {
-            'data': marshal(documents, document_fields),
+            'data': data,
             'has_more': len(documents) == limit,
             'limit': limit,
             'total': paginated_documents.total,
@@ -184,10 +201,16 @@ class DatasetDocumentListApi(Resource):
 
         return response
 
+    documents_and_batch_fields = {
+        'documents': fields.List(fields.Nested(document_fields)),
+        'batch': fields.String
+    }
+
     @setup_required
     @login_required
     @account_initialization_required
-    @marshal_with(document_fields)
+    @marshal_with(documents_and_batch_fields)
+    @cloud_edition_billing_resource_check('vector_space')
     def post(self, dataset_id):
         dataset_id = str(dataset_id)
 
@@ -197,7 +220,7 @@ class DatasetDocumentListApi(Resource):
             raise NotFound('Dataset not found.')
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         try:
@@ -208,9 +231,15 @@ class DatasetDocumentListApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument('indexing_technique', type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False,
                             location='json')
-        parser.add_argument('data_source', type=dict, required=True, nullable=True, location='json')
-        parser.add_argument('process_rule', type=dict, required=True, nullable=True, location='json')
+        parser.add_argument('data_source', type=dict, required=False, location='json')
+        parser.add_argument('process_rule', type=dict, required=False, location='json')
         parser.add_argument('duplicate', type=bool, nullable=False, location='json')
+        parser.add_argument('original_document_id', type=str, required=False, 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')
+        parser.add_argument('retrieval_model', type=dict, required=False, nullable=False,
+                            location='json')
         args = parser.parse_args()
 
         if not dataset.indexing_technique and not args['indexing_technique']:
@@ -220,30 +249,30 @@ class DatasetDocumentListApi(Resource):
         DocumentService.document_create_args_validate(args)
 
         try:
-            document = DocumentService.save_document_with_dataset_id(dataset, args, current_user)
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
+            documents, batch = DocumentService.save_document_with_dataset_id(dataset, args, current_user)
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
         except QuotaExceededError:
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
 
-        return document
+        return {
+            'documents': documents,
+            'batch': batch
+        }
 
 
 class DatasetInitApi(Resource):
-    dataset_and_document_fields = {
-        'dataset': fields.Nested(dataset_fields),
-        'document': fields.Nested(document_fields)
-    }
 
     @setup_required
     @login_required
     @account_initialization_required
     @marshal_with(dataset_and_document_fields)
+    @cloud_edition_billing_resource_check('vector_space')
     def post(self):
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         parser = reqparse.RequestParser()
@@ -251,19 +280,37 @@ class DatasetInitApi(Resource):
                             nullable=False, location='json')
         parser.add_argument('data_source', type=dict, 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')
+        parser.add_argument('retrieval_model', type=dict, required=False, nullable=False,
+                            location='json')
         args = parser.parse_args()
+        if args['indexing_technique'] == 'high_quality':
+            try:
+                model_manager = ModelManager()
+                model_manager.get_default_model_instance(
+                    tenant_id=current_user.current_tenant_id,
+                    model_type=ModelType.TEXT_EMBEDDING
+                )
+            except InvokeAuthorizationError:
+                raise ProviderNotInitializeError(
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
+            except ProviderTokenNotInitError as ex:
+                raise ProviderNotInitializeError(ex.description)
 
         # validate args
         DocumentService.document_create_args_validate(args)
 
         try:
-            dataset, document = DocumentService.save_document_without_dataset_id(
+            dataset, documents, batch = DocumentService.save_document_without_dataset_id(
                 tenant_id=current_user.current_tenant_id,
                 document_data=args,
                 account=current_user
             )
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
         except QuotaExceededError:
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
@@ -271,7 +318,8 @@ class DatasetInitApi(Resource):
 
         response = {
             'dataset': dataset,
-            'document': document
+            'documents': documents,
+            'batch': batch
         }
 
         return response
@@ -315,27 +363,149 @@ 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()
-                response = indexing_runner.indexing_estimate(file, data_process_rule_dict)
+
+                try:
+                    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(
+                        "No Embedding Model available. Please configure a valid provider "
+                        "in the Settings -> Model Provider.")
+                except ProviderTokenNotInitError as ex:
+                    raise ProviderNotInitializeError(ex.description)
 
         return response
 
 
+class DocumentBatchIndexingEstimateApi(DocumentResource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, dataset_id, batch):
+        dataset_id = str(dataset_id)
+        batch = str(batch)
+        dataset = DatasetService.get_dataset(dataset_id)
+        if dataset is None:
+            raise NotFound("Dataset not found.")
+        documents = self.get_batch_documents(dataset_id, batch)
+        response = {
+            "tokens": 0,
+            "total_price": 0,
+            "currency": "USD",
+            "total_segments": 0,
+            "preview": []
+        }
+        if not documents:
+            return response
+        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()
+            data_source_info = document.data_source_info_dict
+            # format document files info
+            if data_source_info and 'upload_file_id' in data_source_info:
+                file_id = data_source_info['upload_file_id']
+                info_list.append(file_id)
+            # format document notion info
+            elif data_source_info and 'notion_workspace_id' in data_source_info and 'notion_page_id' in data_source_info:
+                pages = []
+                page = {
+                    'page_id': data_source_info['notion_page_id'],
+                    'type': data_source_info['type']
+                }
+                pages.append(page)
+                notion_info = {
+                    'workspace_id': data_source_info['notion_workspace_id'],
+                    'pages': pages
+                }
+                info_list.append(notion_info)
+
+            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_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.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                             data_process_rule_dict, document.doc_form,
+                                                             'English', dataset_id)
+            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
+
+
+class DocumentBatchIndexingStatusApi(DocumentResource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, dataset_id, batch):
+        dataset_id = str(dataset_id)
+        batch = str(batch)
+        documents = self.get_batch_documents(dataset_id, batch)
+        documents_status = []
+        for document in documents:
+            completed_segments = DocumentSegment.query.filter(DocumentSegment.completed_at.isnot(None),
+                                                              DocumentSegment.document_id == str(document.id),
+                                                              DocumentSegment.status != 're_segment').count()
+            total_segments = DocumentSegment.query.filter(DocumentSegment.document_id == str(document.id),
+                                                          DocumentSegment.status != 're_segment').count()
+            document.completed_segments = completed_segments
+            document.total_segments = total_segments
+            if document.is_paused:
+                document.indexing_status = 'paused'
+            documents_status.append(marshal(document, document_status_fields))
+        data = {
+            'data': documents_status
+        }
+        return data
+
+
 class DocumentIndexingStatusApi(DocumentResource):
-    document_status_fields = {
-        'id': fields.String,
-        'indexing_status': fields.String,
-        'processing_started_at': TimestampField,
-        'parsing_completed_at': TimestampField,
-        'cleaning_completed_at': TimestampField,
-        'splitting_completed_at': TimestampField,
-        'completed_at': TimestampField,
-        'paused_at': TimestampField,
-        'error': fields.String,
-        'stopped_at': TimestampField,
-        'completed_segments': fields.Integer,
-        'total_segments': fields.Integer,
-    }
 
     @setup_required
     @login_required
@@ -347,16 +517,19 @@ class DocumentIndexingStatusApi(DocumentResource):
 
         completed_segments = DocumentSegment.query \
             .filter(DocumentSegment.completed_at.isnot(None),
-                    DocumentSegment.document_id == str(document_id)) \
+                    DocumentSegment.document_id == str(document_id),
+                    DocumentSegment.status != 're_segment') \
             .count()
         total_segments = DocumentSegment.query \
-            .filter_by(document_id=str(document_id)) \
+            .filter(DocumentSegment.document_id == str(document_id),
+                    DocumentSegment.status != 're_segment') \
             .count()
 
         document.completed_segments = completed_segments
         document.total_segments = total_segments
-
-        return marshal(document, self.document_status_fields)
+        if document.is_paused:
+            document.indexing_status = 'paused'
+        return marshal(document, document_status_fields)
 
 
 class DocumentDetailApi(DocumentResource):
@@ -405,13 +578,14 @@ class DocumentDetailApi(DocumentResource):
                 'disabled_by': document.disabled_by,
                 'archived': document.archived,
                 'segment_count': document.segment_count,
-                'average_segment_length':   document.average_segment_length,
+                'average_segment_length': document.average_segment_length,
                 'hit_count': document.hit_count,
-                'display_status': document.display_status
+                'display_status': document.display_status,
+                'doc_form': document.doc_form
             }
         else:
             process_rules = DatasetService.get_process_rules(dataset_id)
-            data_source_info = document.data_source_detail_dict_()
+            data_source_info = document.data_source_detail_dict
             response = {
                 'id': document.id,
                 'position': document.position,
@@ -425,7 +599,7 @@ class DocumentDetailApi(DocumentResource):
                 'created_at': document.created_at.timestamp(),
                 'tokens': document.tokens,
                 'indexing_status': document.indexing_status,
-                'completed_at': int(document.completed_at.timestamp())if document.completed_at else None,
+                'completed_at': int(document.completed_at.timestamp()) if document.completed_at else None,
                 'updated_at': int(document.updated_at.timestamp()) if document.updated_at else None,
                 'indexing_latency': document.indexing_latency,
                 'error': document.error,
@@ -438,7 +612,8 @@ class DocumentDetailApi(DocumentResource):
                 'segment_count': document.segment_count,
                 'average_segment_length': document.average_segment_length,
                 'hit_count': document.hit_count,
-                'display_status': document.display_status
+                'display_status': document.display_status,
+                'doc_form': document.doc_form
             }
 
         return response, 200
@@ -454,7 +629,7 @@ class DocumentProcessingApi(DocumentResource):
         document = self.get_document(dataset_id, document_id)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         if action == "pause":
@@ -462,7 +637,7 @@ class DocumentProcessingApi(DocumentResource):
                 raise InvalidActionError('Document not in indexing state.')
 
             document.paused_by = current_user.id
-            document.paused_at = datetime.utcnow()
+            document.paused_at = datetime.now(timezone.utc).replace(tzinfo=None)
             document.is_paused = True
             db.session.commit()
 
@@ -487,6 +662,12 @@ class DocumentDeleteApi(DocumentResource):
     def delete(self, dataset_id, document_id):
         dataset_id = str(dataset_id)
         document_id = str(document_id)
+        dataset = DatasetService.get_dataset(dataset_id)
+        if dataset is None:
+            raise NotFound("Dataset not found.")
+        # check user's model setting
+        DatasetService.check_dataset_model_setting(dataset)
+
         document = self.get_document(dataset_id, document_id)
 
         try:
@@ -512,7 +693,7 @@ class DocumentMetadataApi(DocumentResource):
         doc_metadata = req_data.get('doc_metadata')
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         if doc_type is None or doc_metadata is None:
@@ -527,14 +708,16 @@ class DocumentMetadataApi(DocumentResource):
         metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[doc_type]
 
         document.doc_metadata = {}
-
-        for key, value_type in metadata_schema.items():
-            value = doc_metadata.get(key)
-            if value is not None and isinstance(value, value_type):
-                document.doc_metadata[key] = value
+        if doc_type == 'others':
+            document.doc_metadata = doc_metadata
+        else:
+            for key, value_type in metadata_schema.items():
+                value = doc_metadata.get(key)
+                if value is not None and isinstance(value, value_type):
+                    document.doc_metadata[key] = value
 
         document.doc_type = doc_type
-        document.updated_at = datetime.utcnow()
+        document.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
         db.session.commit()
 
         return {'result': 'success', 'message': 'Document metadata updated.'}, 200
@@ -544,13 +727,20 @@ class DocumentStatusApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('vector_space')
     def patch(self, dataset_id, document_id, action):
         dataset_id = str(dataset_id)
         document_id = str(document_id)
+        dataset = DatasetService.get_dataset(dataset_id)
+        if dataset is None:
+            raise NotFound("Dataset not found.")
+        # check user's model setting
+        DatasetService.check_dataset_model_setting(dataset)
+
         document = self.get_document(dataset_id, document_id)
 
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         indexing_cache_key = 'document_{}_indexing'.format(document.id)
@@ -565,7 +755,7 @@ class DocumentStatusApi(DocumentResource):
             document.enabled = True
             document.disabled_at = None
             document.disabled_by = None
-            document.updated_at = datetime.utcnow()
+            document.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
             db.session.commit()
 
             # Set cache to prevent indexing the same document multiple times
@@ -576,13 +766,15 @@ class DocumentStatusApi(DocumentResource):
             return {'result': 'success'}, 200
 
         elif action == "disable":
+            if not document.completed_at or document.indexing_status != 'completed':
+                raise InvalidActionError('Document is not completed.')
             if not document.enabled:
                 raise InvalidActionError('Document already disabled.')
 
             document.enabled = False
-            document.disabled_at = datetime.utcnow()
+            document.disabled_at = datetime.now(timezone.utc).replace(tzinfo=None)
             document.disabled_by = current_user.id
-            document.updated_at = datetime.utcnow()
+            document.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
             db.session.commit()
 
             # Set cache to prevent indexing the same document multiple times
@@ -597,9 +789,9 @@ class DocumentStatusApi(DocumentResource):
                 raise InvalidActionError('Document already archived.')
 
             document.archived = True
-            document.archived_at = datetime.utcnow()
+            document.archived_at = datetime.now(timezone.utc).replace(tzinfo=None)
             document.archived_by = current_user.id
-            document.updated_at = datetime.utcnow()
+            document.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
             db.session.commit()
 
             if document.enabled:
@@ -608,12 +800,32 @@ class DocumentStatusApi(DocumentResource):
 
                 remove_document_from_index_task.delay(document_id)
 
+            return {'result': 'success'}, 200
+        elif action == "un_archive":
+            if not document.archived:
+                raise InvalidActionError('Document is not archived.')
+
+            document.archived = False
+            document.archived_at = None
+            document.archived_by = None
+            document.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
+            db.session.commit()
+
+            # Set cache to prevent indexing the same document multiple times
+            redis_client.setex(indexing_cache_key, 600, 1)
+
+            add_document_to_index_task.delay(document_id)
+
             return {'result': 'success'}, 200
         else:
             raise InvalidActionError()
 
 
 class DocumentPauseApi(DocumentResource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
     def patch(self, dataset_id, document_id):
         """pause document."""
         dataset_id = str(dataset_id)
@@ -643,6 +855,9 @@ class DocumentPauseApi(DocumentResource):
 
 
 class DocumentRecoverApi(DocumentResource):
+    @setup_required
+    @login_required
+    @account_initialization_required
     def patch(self, dataset_id, document_id):
         """recover document."""
         dataset_id = str(dataset_id)
@@ -675,6 +890,10 @@ api.add_resource(DatasetInitApi,
                  '/datasets/init')
 api.add_resource(DocumentIndexingEstimateApi,
                  '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/indexing-estimate')
+api.add_resource(DocumentBatchIndexingEstimateApi,
+                 '/datasets/<uuid:dataset_id>/batch/<string:batch>/indexing-estimate')
+api.add_resource(DocumentBatchIndexingStatusApi,
+                 '/datasets/<uuid:dataset_id>/batch/<string:batch>/indexing-status')
 api.add_resource(DocumentIndexingStatusApi,
                  '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/indexing-status')
 api.add_resource(DocumentDetailApi,

api/controllers/console/datasets/datasets_segments.py

@@ -1,52 +1,34 @@
-# -*- coding:utf-8 -*-
-from datetime import datetime
+import uuid
+from datetime import datetime, timezone
 
-from flask_login import login_required, current_user
-from flask_restful import Resource, reqparse, fields, marshal
-from werkzeug.exceptions import NotFound, Forbidden
+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.datasets.error import InvalidActionError
+from controllers.console.app.error import ProviderNotInitializeError
+from controllers.console.datasets.error import InvalidActionError, NoFileUploadedError, TooManyFilesError
 from controllers.console.setup import setup_required
-from controllers.console.wraps import account_initialization_required
+from controllers.console.wraps import (
+    account_initialization_required,
+    cloud_edition_billing_knowledge_limit_check,
+    cloud_edition_billing_resource_check,
+)
+from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
+from core.model_manager import ModelManager
+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 libs.login import login_required
 from models.dataset import DocumentSegment
-
-from libs.helper import TimestampField
-from services.dataset_service import DatasetService, DocumentService
-from tasks.add_segment_to_index_task import add_segment_to_index_task
-from tasks.remove_segment_from_index_task import remove_segment_from_index_task
-
-segment_fields = {
-    'id': fields.String,
-    'position': fields.Integer,
-    'document_id': fields.String,
-    'content': fields.String,
-    'word_count': fields.Integer,
-    'tokens': fields.Integer,
-    'keywords': fields.List(fields.String),
-    'index_node_id': fields.String,
-    'index_node_hash': fields.String,
-    'hit_count': fields.Integer,
-    'enabled': fields.Boolean,
-    'disabled_at': TimestampField,
-    'disabled_by': fields.String,
-    'status': fields.String,
-    'created_by': fields.String,
-    'created_at': TimestampField,
-    'indexing_at': TimestampField,
-    'completed_at': TimestampField,
-    'error': fields.String,
-    'stopped_at': TimestampField
-}
-
-segment_list_response = {
-    'data': fields.List(fields.Nested(segment_fields)),
-    'has_more': fields.Boolean,
-    'limit': fields.Integer
-}
+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
 
 
 class DatasetDocumentSegmentListApi(Resource):
@@ -78,12 +60,14 @@ class DatasetDocumentSegmentListApi(Resource):
         parser.add_argument('hit_count_gte', type=int,
                             default=None, location='args')
         parser.add_argument('enabled', type=str, default='all', location='args')
+        parser.add_argument('keyword', type=str, default=None, location='args')
         args = parser.parse_args()
 
         last_id = args['last_id']
         limit = min(args['limit'], 100)
         status_list = args['status']
         hit_count_gte = args['hit_count_gte']
+        keyword = args['keyword']
 
         query = DocumentSegment.query.filter(
             DocumentSegment.document_id == str(document_id),
@@ -104,6 +88,9 @@ class DatasetDocumentSegmentListApi(Resource):
         if hit_count_gte is not None:
             query = query.filter(DocumentSegment.hit_count >= hit_count_gte)
 
+        if keyword:
+            query = query.where(DocumentSegment.content.ilike(f'%{keyword}%'))
+
         if args['enabled'].lower() != 'all':
             if args['enabled'].lower() == 'true':
                 query = query.filter(DocumentSegment.enabled == True)
@@ -120,6 +107,7 @@ class DatasetDocumentSegmentListApi(Resource):
 
         return {
             'data': marshal(segments, segment_fields),
+            'doc_form': document.doc_form,
             'has_more': has_more,
             'limit': limit,
             'total': total
@@ -130,20 +118,38 @@ class DatasetDocumentSegmentApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('vector_space')
     def patch(self, dataset_id, segment_id, action):
         dataset_id = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id)
         if not dataset:
             raise NotFound('Dataset not found.')
-
+        # check user's model setting
+        DatasetService.check_dataset_model_setting(dataset)
         # The role of the current user in the ta table must be admin or owner
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
         try:
             DatasetService.check_dataset_permission(dataset, current_user)
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
+        if dataset.indexing_technique == 'high_quality':
+            # check embedding model setting
+            try:
+                model_manager = ModelManager()
+                model_manager.get_model_instance(
+                    tenant_id=current_user.current_tenant_id,
+                    provider=dataset.embedding_model_provider,
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=dataset.embedding_model
+                )
+            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)
 
         segment = DocumentSegment.query.filter(
             DocumentSegment.id == str(segment_id),
@@ -153,6 +159,9 @@ class DatasetDocumentSegmentApi(Resource):
         if not segment:
             raise NotFound('Segment not found.')
 
+        if segment.status != 'completed':
+            raise NotFound('Segment is not completed, enable or disable function is not allowed')
+
         document_indexing_cache_key = 'document_{}_indexing'.format(segment.document_id)
         cache_result = redis_client.get(document_indexing_cache_key)
         if cache_result is not None:
@@ -175,7 +184,7 @@ class DatasetDocumentSegmentApi(Resource):
             # Set cache to prevent indexing the same segment multiple times
             redis_client.setex(indexing_cache_key, 600, 1)
 
-            add_segment_to_index_task.delay(segment.id)
+            enable_segment_to_index_task.delay(segment.id)
 
             return {'result': 'success'}, 200
         elif action == "disable":
@@ -183,21 +192,250 @@ class DatasetDocumentSegmentApi(Resource):
                 raise InvalidActionError("Segment is already disabled.")
 
             segment.enabled = False
-            segment.disabled_at = datetime.utcnow()
+            segment.disabled_at = datetime.now(timezone.utc).replace(tzinfo=None)
             segment.disabled_by = current_user.id
             db.session.commit()
 
             # Set cache to prevent indexing the same segment multiple times
             redis_client.setex(indexing_cache_key, 600, 1)
 
-            remove_segment_from_index_task.delay(segment.id)
+            disable_segment_from_index_task.delay(segment.id)
 
             return {'result': 'success'}, 200
         else:
             raise InvalidActionError()
 
 
+class DatasetDocumentSegmentAddApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('vector_space')
+    @cloud_edition_billing_knowledge_limit_check('add_segment')
+    def post(self, dataset_id, document_id):
+        # check dataset
+        dataset_id = str(dataset_id)
+        dataset = DatasetService.get_dataset(dataset_id)
+        if not dataset:
+            raise NotFound('Dataset not found.')
+        # check document
+        document_id = str(document_id)
+        document = DocumentService.get_document(dataset_id, document_id)
+        if not document:
+            raise NotFound('Document not found.')
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+        # check embedding model setting
+        if dataset.indexing_technique == 'high_quality':
+            try:
+                model_manager = ModelManager()
+                model_manager.get_model_instance(
+                    tenant_id=current_user.current_tenant_id,
+                    provider=dataset.embedding_model_provider,
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=dataset.embedding_model
+                )
+            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)
+        try:
+            DatasetService.check_dataset_permission(dataset, current_user)
+        except services.errors.account.NoPermissionError as e:
+            raise Forbidden(str(e))
+        # validate args
+        parser = reqparse.RequestParser()
+        parser.add_argument('content', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('answer', type=str, required=False, nullable=True, location='json')
+        parser.add_argument('keywords', type=list, required=False, nullable=True, location='json')
+        args = parser.parse_args()
+        SegmentService.segment_create_args_validate(args, document)
+        segment = SegmentService.create_segment(args, document, dataset)
+        return {
+            'data': marshal(segment, segment_fields),
+            'doc_form': document.doc_form
+        }, 200
+
+
+class DatasetDocumentSegmentUpdateApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('vector_space')
+    def patch(self, dataset_id, document_id, segment_id):
+        # check dataset
+        dataset_id = str(dataset_id)
+        dataset = DatasetService.get_dataset(dataset_id)
+        if not dataset:
+            raise NotFound('Dataset not found.')
+        # check user's model setting
+        DatasetService.check_dataset_model_setting(dataset)
+        # check document
+        document_id = str(document_id)
+        document = DocumentService.get_document(dataset_id, document_id)
+        if not document:
+            raise NotFound('Document not found.')
+        if dataset.indexing_technique == 'high_quality':
+            # check embedding model setting
+            try:
+                model_manager = ModelManager()
+                model_manager.get_model_instance(
+                    tenant_id=current_user.current_tenant_id,
+                    provider=dataset.embedding_model_provider,
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=dataset.embedding_model
+                )
+            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)
+            # check segment
+        segment_id = str(segment_id)
+        segment = DocumentSegment.query.filter(
+            DocumentSegment.id == str(segment_id),
+            DocumentSegment.tenant_id == current_user.current_tenant_id
+        ).first()
+        if not segment:
+            raise NotFound('Segment not found.')
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+        try:
+            DatasetService.check_dataset_permission(dataset, current_user)
+        except services.errors.account.NoPermissionError as e:
+            raise Forbidden(str(e))
+        # validate args
+        parser = reqparse.RequestParser()
+        parser.add_argument('content', type=str, required=True, nullable=False, location='json')
+        parser.add_argument('answer', type=str, required=False, nullable=True, location='json')
+        parser.add_argument('keywords', type=list, required=False, nullable=True, location='json')
+        args = parser.parse_args()
+        SegmentService.segment_create_args_validate(args, document)
+        segment = SegmentService.update_segment(args, segment, document, dataset)
+        return {
+            'data': marshal(segment, segment_fields),
+            'doc_form': document.doc_form
+        }, 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def delete(self, dataset_id, document_id, segment_id):
+        # check dataset
+        dataset_id = str(dataset_id)
+        dataset = DatasetService.get_dataset(dataset_id)
+        if not dataset:
+            raise NotFound('Dataset not found.')
+        # check user's model setting
+        DatasetService.check_dataset_model_setting(dataset)
+        # check document
+        document_id = str(document_id)
+        document = DocumentService.get_document(dataset_id, document_id)
+        if not document:
+            raise NotFound('Document not found.')
+        # check segment
+        segment_id = str(segment_id)
+        segment = DocumentSegment.query.filter(
+            DocumentSegment.id == str(segment_id),
+            DocumentSegment.tenant_id == current_user.current_tenant_id
+        ).first()
+        if not segment:
+            raise NotFound('Segment not found.')
+        # The role of the current user in the ta table must be admin or owner
+        if not current_user.is_admin_or_owner:
+            raise Forbidden()
+        try:
+            DatasetService.check_dataset_permission(dataset, current_user)
+        except services.errors.account.NoPermissionError as e:
+            raise Forbidden(str(e))
+        SegmentService.delete_segment(segment, document, dataset)
+        return {'result': 'success'}, 200
+
+
+class DatasetDocumentSegmentBatchImportApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_edition_billing_resource_check('vector_space')
+    @cloud_edition_billing_knowledge_limit_check('add_segment')
+    def post(self, dataset_id, document_id):
+        # check dataset
+        dataset_id = str(dataset_id)
+        dataset = DatasetService.get_dataset(dataset_id)
+        if not dataset:
+            raise NotFound('Dataset not found.')
+        # check document
+        document_id = str(document_id)
+        document = DocumentService.get_document(dataset_id, document_id)
+        if not document:
+            raise NotFound('Document not found.')
+        # get file from request
+        file = request.files['file']
+        # check file
+        if 'file' not in request.files:
+            raise NoFileUploadedError()
+
+        if len(request.files) > 1:
+            raise TooManyFilesError()
+        # check file type
+        if not file.filename.endswith('.csv'):
+            raise ValueError("Invalid file type. Only CSV files are allowed")
+
+        try:
+            # Skip the first row
+            df = pd.read_csv(file)
+            result = []
+            for index, row in df.iterrows():
+                if document.doc_form == 'qa_model':
+                    data = {'content': row[0], 'answer': row[1]}
+                else:
+                    data = {'content': row[0]}
+                result.append(data)
+            if len(result) == 0:
+                raise ValueError("The CSV file is empty.")
+            # async job
+            job_id = str(uuid.uuid4())
+            indexing_cache_key = 'segment_batch_import_{}'.format(str(job_id))
+            # send batch add segments task
+            redis_client.setnx(indexing_cache_key, 'waiting')
+            batch_create_segment_to_index_task.delay(str(job_id), result, dataset_id, document_id,
+                                                     current_user.current_tenant_id, current_user.id)
+        except Exception as e:
+            return {'error': str(e)}, 500
+        return {
+            'job_id': job_id,
+            'job_status': 'waiting'
+        }, 200
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, job_id):
+        job_id = str(job_id)
+        indexing_cache_key = 'segment_batch_import_{}'.format(job_id)
+        cache_result = redis_client.get(indexing_cache_key)
+        if cache_result is None:
+            raise ValueError("The job is not exist.")
+
+        return {
+            'job_id': job_id,
+            'job_status': cache_result.decode()
+        }, 200
+
+
 api.add_resource(DatasetDocumentSegmentListApi,
                  '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/segments')
 api.add_resource(DatasetDocumentSegmentApi,
                  '/datasets/<uuid:dataset_id>/segments/<uuid:segment_id>/<string:action>')
+api.add_resource(DatasetDocumentSegmentAddApi,
+                 '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/segment')
+api.add_resource(DatasetDocumentSegmentUpdateApi,
+                 '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/segments/<uuid:segment_id>')
+api.add_resource(DatasetDocumentSegmentBatchImportApi,
+                 '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/segments/batch_import',
+                 '/datasets/batch_import_status/<uuid:job_id>')

api/controllers/console/datasets/file.py

@@ -1,50 +1,45 @@
-import datetime
-import hashlib
-import tempfile
-import time
-import uuid
-from pathlib import Path
-
-from cachetools import TTLCache
-from flask import request, current_app
-from flask_login import login_required, current_user
-from flask_restful import Resource, marshal_with, fields
-from werkzeug.exceptions import NotFound
+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 NoFileUploadedError, TooManyFilesError, FileTooLargeError, \
-    UnsupportedFileTypeError
+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 core.index.readers.html_parser import HTMLParser
-from core.index.readers.pdf_parser import PDFParser
-from extensions.ext_storage import storage
-from libs.helper import TimestampField
-from extensions.ext_database import db
-from models.model import UploadFile
+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
 
-cache = TTLCache(maxsize=None, ttl=30)
-
-FILE_SIZE_LIMIT = 15 * 1024 * 1024  # 15MB
-ALLOWED_EXTENSIONS = ['txt', 'markdown', 'md', 'pdf', 'html', 'htm']
 PREVIEW_WORDS_LIMIT = 3000
 
 
 class FileApi(Resource):
-    file_fields = {
-        'id': fields.String,
-        'name': fields.String,
-        'size': fields.Integer,
-        'extension': fields.String,
-        'mime_type': fields.String,
-        'created_by': fields.String,
-        'created_at': TimestampField,
-    }
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(upload_config_fields)
+    def get(self):
+        file_size_limit = current_app.config.get("UPLOAD_FILE_SIZE_LIMIT")
+        batch_count_limit = current_app.config.get("UPLOAD_FILE_BATCH_LIMIT")
+        image_file_size_limit = current_app.config.get("UPLOAD_IMAGE_FILE_SIZE_LIMIT")
+        return {
+            'file_size_limit': file_size_limit,
+            'batch_count_limit': batch_count_limit,
+            'image_file_size_limit': image_file_size_limit
+        }, 200
 
     @setup_required
     @login_required
     @account_initialization_required
     @marshal_with(file_fields)
+    @cloud_edition_billing_resource_check(resource='documents')
     def post(self):
 
         # get file from request
@@ -56,44 +51,13 @@ class FileApi(Resource):
 
         if len(request.files) > 1:
             raise TooManyFilesError()
-
-        file_content = file.read()
-        file_size = len(file_content)
-
-        if file_size > FILE_SIZE_LIMIT:
-            message = "({file_size} > {FILE_SIZE_LIMIT})"
-            raise FileTooLargeError(message)
-
-        extension = file.filename.split('.')[-1]
-        if extension not in ALLOWED_EXTENSIONS:
+        try:
+            upload_file = FileService.upload_file(file, current_user)
+        except services.errors.file.FileTooLargeError as file_too_large_error:
+            raise FileTooLargeError(file_too_large_error.description)
+        except services.errors.file.UnsupportedFileTypeError:
             raise UnsupportedFileTypeError()
 
-        # user uuid as file name
-        file_uuid = str(uuid.uuid4())
-        file_key = 'upload_files/' + current_user.current_tenant_id + '/' + file_uuid + '.' + extension
-
-        # save file to storage
-        storage.save(file_key, file_content)
-
-        # save file to db
-        config = current_app.config
-        upload_file = UploadFile(
-            tenant_id=current_user.current_tenant_id,
-            storage_type=config['STORAGE_TYPE'],
-            key=file_key,
-            name=file.filename,
-            size=file_size,
-            extension=extension,
-            mime_type=file.mimetype,
-            created_by=current_user.id,
-            created_at=datetime.datetime.utcnow(),
-            used=False,
-            hash=hashlib.sha3_256(file_content).hexdigest()
-        )
-
-        db.session.add(upload_file)
-        db.session.commit()
-
         return upload_file, 201
 
 
@@ -103,45 +67,20 @@ class FilePreviewApi(Resource):
     @account_initialization_required
     def get(self, file_id):
         file_id = str(file_id)
-
-        key = file_id + request.path
-        cached_response = cache.get(key)
-        if cached_response and time.time() - cached_response['timestamp'] < cache.ttl:
-            return cached_response['response']
-
-        upload_file = db.session.query(UploadFile) \
-            .filter(UploadFile.id == file_id) \
-            .first()
-
-        if not upload_file:
-            raise NotFound("File not found")
-
-        # extract text from file
-        extension = upload_file.extension
-        if extension not in ALLOWED_EXTENSIONS:
-            raise UnsupportedFileTypeError()
-
-        with tempfile.TemporaryDirectory() as temp_dir:
-            suffix = Path(upload_file.key).suffix
-            filepath = f"{temp_dir}/{next(tempfile._get_candidate_names())}{suffix}"
-            storage.download(upload_file.key, filepath)
-
-            if extension == 'pdf':
-                parser = PDFParser({'upload_file': upload_file})
-                text = parser.parse_file(Path(filepath))
-            elif extension in ['html', 'htm']:
-                # Use BeautifulSoup to extract text
-                parser = HTMLParser()
-                text = parser.parse_file(Path(filepath))
-            else:
-                # ['txt', 'markdown', 'md']
-                with open(filepath, "rb") as fp:
-                    data = fp.read()
-                    text = data.decode(encoding='utf-8').strip() if data else ''
-
-        text = text[0:PREVIEW_WORDS_LIMIT] if text else ''
+        text = FileService.get_file_preview(file_id)
         return {'content': text}
 
 
+class FileSupportTypeApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        etl_type = current_app.config['ETL_TYPE']
+        allowed_extensions = UNSTRUSTURED_ALLOWED_EXTENSIONS if etl_type == 'Unstructured' else ALLOWED_EXTENSIONS
+        return {'allowed_extensions': allowed_extensions}
+
+
 api.add_resource(FileApi, '/files/upload')
 api.add_resource(FilePreviewApi, '/files/<uuid:file_id>/preview')
+api.add_resource(FileSupportTypeApi, '/files/support-type')

api/controllers/console/datasets/hit_testing.py

@@ -1,58 +1,32 @@
 import logging
 
-from flask_login import login_required, current_user
-from flask_restful import Resource, reqparse, marshal, fields
-from werkzeug.exceptions import InternalServerError, NotFound, Forbidden
+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 ProviderNotInitializeError, ProviderQuotaExceededError, \
-    ProviderModelCurrentlyNotSupportError
-from controllers.console.datasets.error import HighQualityDatasetOnlyError, DatasetNotInitializedError
+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.llm.error import ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
-from libs.helper import TimestampField
+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 libs.login import login_required
 from services.dataset_service import DatasetService
 from services.hit_testing_service import HitTestingService
 
-document_fields = {
-    'id': fields.String,
-    'data_source_type': fields.String,
-    'name': fields.String,
-    'doc_type': fields.String,
-}
-
-segment_fields = {
-    'id': fields.String,
-    'position': fields.Integer,
-    'document_id': fields.String,
-    'content': fields.String,
-    'word_count': fields.Integer,
-    'tokens': fields.Integer,
-    'keywords': fields.List(fields.String),
-    'index_node_id': fields.String,
-    'index_node_hash': fields.String,
-    'hit_count': fields.Integer,
-    'enabled': fields.Boolean,
-    'disabled_at': TimestampField,
-    'disabled_by': fields.String,
-    'status': fields.String,
-    'created_by': fields.String,
-    'created_at': TimestampField,
-    'indexing_at': TimestampField,
-    'completed_at': TimestampField,
-    'error': fields.String,
-    'stopped_at': TimestampField,
-    'document': fields.Nested(document_fields),
-}
-
-hit_testing_record_fields = {
-    'segment': fields.Nested(segment_fields),
-    'score': fields.Float,
-    'tsne_position': fields.Raw
-}
-
 
 class HitTestingApi(Resource):
 
@@ -77,30 +51,37 @@ class HitTestingApi(Resource):
 
         parser = reqparse.RequestParser()
         parser.add_argument('query', type=str, location='json')
+        parser.add_argument('retrieval_model', type=dict, required=False, location='json')
         args = parser.parse_args()
 
-        query = args['query']
-
-        if not query or len(query) > 250:
-            raise ValueError('Query is required and cannot exceed 250 characters')
+        HitTestingService.hit_testing_args_check(args)
 
         try:
             response = HitTestingService.retrieve(
                 dataset=dataset,
-                query=query,
+                query=args['query'],
                 account=current_user,
-                limit=10,
+                retrieval_model=args['retrieval_model'],
+                limit=10
             )
 
             return {"query": response['query'], 'records': marshal(response['records'], hit_testing_record_fields)}
         except services.errors.index.IndexNotInitializedError:
             raise DatasetNotInitializedError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
         except QuotaExceededError:
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
+        except LLMBadRequestError:
+            raise ProviderNotInitializeError(
+                "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:
+            raise ValueError(str(e))
         except Exception as e:
             logging.exception("Hit testing failed.")
             raise InternalServerError(str(e))

api/controllers/console/error.py

@@ -13,8 +13,24 @@ class NotSetupError(BaseHTTPException):
                   "Please proceed with the initialization and installation process first."
     code = 401
 
+class NotInitValidateError(BaseHTTPException):
+    error_code = 'not_init_validated'
+    description = "Init validation has not been completed yet. " \
+                  "Please proceed with the init validation process first."
+    code = 401
+
+class InitValidateFailedError(BaseHTTPException):
+    error_code = 'init_validate_failed'
+    description = "Init validation failed. Please check the password and try again."
+    code = 401
 
 class AccountNotLinkTenantError(BaseHTTPException):
     error_code = 'account_not_link_tenant'
     description = "Account not link tenant."
     code = 403
+
+
+class AlreadyActivateError(BaseHTTPException):
+    error_code = 'already_activate'
+    description = "Auth Token is invalid or account already activated, please check again."
+    code = 403

api/controllers/console/explore/audio.py

@@ -0,0 +1,110 @@
+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.explore.wraps import InstalledAppResource
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
+from services.audio_service import AudioService
+from services.errors.audio import (
+    AudioTooLargeServiceError,
+    NoAudioUploadedServiceError,
+    ProviderNotSupportSpeechToTextServiceError,
+    UnsupportedAudioTypeServiceError,
+)
+
+
+class ChatAudioApi(InstalledAppResource):
+    def post(self, installed_app):
+        app_model = installed_app.app
+
+        file = request.files['file']
+
+        try:
+            response = AudioService.transcript_asr(
+                app_model=app_model,
+                file=file,
+                end_user=None
+            )
+
+            return response
+        except services.errors.app_model_config.AppModelConfigBrokenError:
+            logging.exception("App model config broken.")
+            raise AppUnavailableError()
+        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("internal server error.")
+            raise InternalServerError()
+
+
+class ChatTextApi(InstalledAppResource):
+    def post(self, installed_app):
+        app_model = installed_app.app
+
+        try:
+            response = AudioService.transcript_tts(
+                app_model=app_model,
+                text=request.form['text'],
+                voice=request.form.get('voice'),
+                streaming=False
+            )
+            return {'data': response.data.decode('latin1')}
+        except services.errors.app_model_config.AppModelConfigBrokenError:
+            logging.exception("App model config broken.")
+            raise AppUnavailableError()
+        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("internal server error.")
+            raise InternalServerError()
+
+
+api.add_resource(ChatAudioApi, '/installed-apps/<uuid:installed_app_id>/audio-to-text', endpoint='installed_app_audio')
+api.add_resource(ChatTextApi, '/installed-apps/<uuid:installed_app_id>/text-to-audio', endpoint='installed_app_text')

api/controllers/console/explore/completion.py

@@ -1,24 +1,31 @@
-# -*- coding:utf-8 -*-
-import json
 import logging
-from typing import Generator, Union
+from datetime import datetime, timezone
 
-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 ConversationCompletedError, AppUnavailableError, ProviderNotInitializeError, \
-    ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError
-from controllers.console.explore.error import NotCompletionAppError, NotChatAppError
+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.conversation_message_task import PubHandler
-from core.llm.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
-    LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
+from core.app.apps.base_app_queue_manager import AppQueueManager
+from core.app.entities.app_invoke_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 libs import helper
 from libs.helper import uuid_value
-from services.completion_service import CompletionService
+from models.model import AppMode
+from services.app_generate_service import AppGenerateService
 
 
 # define completion api for user
@@ -31,22 +38,28 @@ class CompletionApi(InstalledAppResource):
 
         parser = reqparse.RequestParser()
         parser.add_argument('inputs', type=dict, required=True, location='json')
-        parser.add_argument('query', type=str, location='json')
+        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('retriever_from', type=str, required=False, default='explore_app', location='json')
         args = parser.parse_args()
 
         streaming = args['response_mode'] == 'streaming'
+        args['auto_generate_name'] = False
+
+        installed_app.last_used_at = datetime.now(timezone.utc).replace(tzinfo=None)
+        db.session.commit()
 
         try:
-            response = CompletionService.completion(
+            response = AppGenerateService.generate(
                 app_model=app_model,
                 user=current_user,
                 args=args,
-                from_source='console',
+                invoke_from=InvokeFrom.EXPLORE,
                 streaming=streaming
             )
 
-            return compact_response(response)
+            return helper.compact_generate_response(response)
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
         except services.errors.conversation.ConversationCompletedError:
@@ -54,15 +67,14 @@ class CompletionApi(InstalledAppResource):
         except services.errors.app_model_config.AppModelConfigBrokenError:
             logging.exception("App model config broken.")
             raise AppUnavailableError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
         except QuotaExceededError:
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
@@ -76,7 +88,7 @@ class CompletionStopApi(InstalledAppResource):
         if app_model.mode != 'completion':
             raise NotCompletionAppError()
 
-        PubHandler.stop(current_user, task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
 
         return {'result': 'success'}, 200
 
@@ -84,28 +96,33 @@ class CompletionStopApi(InstalledAppResource):
 class ChatApi(InstalledAppResource):
     def post(self, installed_app):
         app_model = installed_app.app
-        if app_model.mode != 'chat':
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
             raise NotChatAppError()
 
         parser = reqparse.RequestParser()
         parser.add_argument('inputs', type=dict, required=True, location='json')
         parser.add_argument('query', type=str, required=True, location='json')
-        parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
+        parser.add_argument('files', type=list, required=False, location='json')
         parser.add_argument('conversation_id', type=uuid_value, location='json')
+        parser.add_argument('retriever_from', type=str, required=False, default='explore_app', location='json')
         args = parser.parse_args()
 
-        streaming = args['response_mode'] == 'streaming'
+        args['auto_generate_name'] = False
+
+        installed_app.last_used_at = datetime.now(timezone.utc).replace(tzinfo=None)
+        db.session.commit()
 
         try:
-            response = CompletionService.completion(
+            response = AppGenerateService.generate(
                 app_model=app_model,
                 user=current_user,
                 args=args,
-                from_source='console',
-                streaming=streaming
+                invoke_from=InvokeFrom.EXPLORE,
+                streaming=True
             )
 
-            return compact_response(response)
+            return helper.compact_generate_response(response)
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
         except services.errors.conversation.ConversationCompletedError:
@@ -113,15 +130,14 @@ class ChatApi(InstalledAppResource):
         except services.errors.app_model_config.AppModelConfigBrokenError:
             logging.exception("App model config broken.")
             raise AppUnavailableError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
         except QuotaExceededError:
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception as e:
@@ -132,48 +148,15 @@ class ChatApi(InstalledAppResource):
 class ChatStopApi(InstalledAppResource):
     def post(self, installed_app, task_id):
         app_model = installed_app.app
-        if app_model.mode != 'chat':
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
             raise NotChatAppError()
 
-        PubHandler.stop(current_user, task_id)
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
 
         return {'result': 'success'}, 200
 
 
-def compact_response(response: Union[dict | Generator]) -> Response:
-    if isinstance(response, dict):
-        return Response(response=json.dumps(response), status=200, mimetype='application/json')
-    else:
-        def generate() -> Generator:
-            try:
-                for chunk in response:
-                    yield chunk
-            except services.errors.conversation.ConversationNotExistsError:
-                yield "data: " + json.dumps(api.handle_error(NotFound("Conversation Not Exists.")).get_json()) + "\n\n"
-            except services.errors.conversation.ConversationCompletedError:
-                yield "data: " + json.dumps(api.handle_error(ConversationCompletedError()).get_json()) + "\n\n"
-            except services.errors.app_model_config.AppModelConfigBrokenError:
-                logging.exception("App model config broken.")
-                yield "data: " + json.dumps(api.handle_error(AppUnavailableError()).get_json()) + "\n\n"
-            except ProviderTokenNotInitError:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
-            except QuotaExceededError:
-                yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
-            except ModelCurrentlyNotSupportError:
-                yield "data: " + json.dumps(api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n"
-            except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                    LLMRateLimitError, LLMAuthorizationError) as e:
-                yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n"
-            except ValueError as e:
-                yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n"
-            except Exception:
-                logging.exception("internal server error.")
-                yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n"
-
-        return Response(stream_with_context(generate()), status=200,
-                        mimetype='text/event-stream')
-
-
 api.add_resource(CompletionApi, '/installed-apps/<uuid:installed_app_id>/completion-messages', endpoint='installed_app_completion')
 api.add_resource(CompletionStopApi, '/installed-apps/<uuid:installed_app_id>/completion-messages/<string:task_id>/stop', endpoint='installed_app_stop_completion')
 api.add_resource(ChatApi, '/installed-apps/<uuid:installed_app_id>/chat-messages', endpoint='installed_app_chat_completion')

api/controllers/console/explore/conversation.py

@@ -1,39 +1,27 @@
-# -*- coding:utf-8 -*-
 from flask_login import current_user
-from flask_restful import fields, reqparse, marshal_with
+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 libs.helper import TimestampField, uuid_value
+from core.app.entities.app_invoke_entities import InvokeFrom
+from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
+from libs.helper import uuid_value
+from models.model import AppMode
 from services.conversation_service import ConversationService
-from services.errors.conversation import LastConversationNotExistsError, ConversationNotExistsError
+from services.errors.conversation import ConversationNotExistsError, LastConversationNotExistsError
 from services.web_conversation_service import WebConversationService
 
-conversation_fields = {
-    'id': fields.String,
-    'name': fields.String,
-    'inputs': fields.Raw,
-    'status': fields.String,
-    'introduction': fields.String,
-    'created_at': TimestampField
-}
-
-conversation_infinite_scroll_pagination_fields = {
-    'limit': fields.Integer,
-    'has_more': fields.Boolean,
-    'data': fields.List(fields.Nested(conversation_fields))
-}
-
 
 class ConversationListApi(InstalledAppResource):
 
     @marshal_with(conversation_infinite_scroll_pagination_fields)
     def get(self, installed_app):
         app_model = installed_app.app
-        if app_model.mode != 'chat':
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
             raise NotChatAppError()
 
         parser = reqparse.RequestParser()
@@ -52,7 +40,8 @@ class ConversationListApi(InstalledAppResource):
                 user=current_user,
                 last_id=args['last_id'],
                 limit=args['limit'],
-                pinned=pinned
+                invoke_from=InvokeFrom.EXPLORE,
+                pinned=pinned,
             )
         except LastConversationNotExistsError:
             raise NotFound("Last Conversation Not Exists.")
@@ -61,11 +50,15 @@ class ConversationListApi(InstalledAppResource):
 class ConversationApi(InstalledAppResource):
     def delete(self, installed_app, c_id):
         app_model = installed_app.app
-        if app_model.mode != 'chat':
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
             raise NotChatAppError()
 
         conversation_id = str(c_id)
-        ConversationService.delete(app_model, conversation_id, current_user)
+        try:
+            ConversationService.delete(app_model, conversation_id, current_user)
+        except ConversationNotExistsError:
+            raise NotFound("Conversation Not Exists.")
         WebConversationService.unpin(app_model, conversation_id, current_user)
 
         return {"result": "success"}, 204
@@ -73,20 +66,28 @@ class ConversationApi(InstalledAppResource):
 
 class ConversationRenameApi(InstalledAppResource):
 
-    @marshal_with(conversation_fields)
+    @marshal_with(simple_conversation_fields)
     def post(self, installed_app, c_id):
         app_model = installed_app.app
-        if app_model.mode != 'chat':
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
             raise NotChatAppError()
 
         conversation_id = str(c_id)
 
         parser = reqparse.RequestParser()
-        parser.add_argument('name', type=str, required=True, location='json')
+        parser.add_argument('name', type=str, required=False, location='json')
+        parser.add_argument('auto_generate', type=bool, required=False, default=False, location='json')
         args = parser.parse_args()
 
         try:
-            return ConversationService.rename(app_model, conversation_id, current_user, args['name'])
+            return ConversationService.rename(
+                app_model,
+                conversation_id,
+                current_user,
+                args['name'],
+                args['auto_generate']
+            )
         except ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
 
@@ -95,7 +96,8 @@ class ConversationPinApi(InstalledAppResource):
 
     def patch(self, installed_app, c_id):
         app_model = installed_app.app
-        if app_model.mode != 'chat':
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
             raise NotChatAppError()
 
         conversation_id = str(c_id)
@@ -111,7 +113,8 @@ class ConversationPinApi(InstalledAppResource):
 class ConversationUnPinApi(InstalledAppResource):
     def patch(self, installed_app, c_id):
         app_model = installed_app.app
-        if app_model.mode != 'chat':
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
             raise NotChatAppError()
 
         conversation_id = str(c_id)

api/controllers/console/explore/error.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 from libs.exception import BaseHTTPException
 
 
@@ -10,7 +9,13 @@ class NotCompletionAppError(BaseHTTPException):
 
 class NotChatAppError(BaseHTTPException):
     error_code = 'not_chat_app'
-    description = "Not Chat App"
+    description = "App mode is invalid."
+    code = 400
+
+
+class NotWorkflowAppError(BaseHTTPException):
+    error_code = 'not_workflow_app'
+    description = "Only support workflow app."
     code = 400
 
 

api/controllers/console/explore/installed_app.py

@@ -1,41 +1,19 @@
-# -*- coding:utf-8 -*-
-from datetime import datetime
+from datetime import datetime, timezone
 
-from flask_login import login_required, current_user
-from flask_restful import Resource, reqparse, fields, marshal_with, inputs
+from flask_login import current_user
+from flask_restful import Resource, inputs, marshal_with, reqparse
 from sqlalchemy import and_
-from werkzeug.exceptions import NotFound, Forbidden, BadRequest
+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
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
 from extensions.ext_database import db
-from libs.helper import TimestampField
+from fields.installed_app_fields import installed_app_list_fields
+from libs.login import login_required
 from models.model import App, InstalledApp, RecommendedApp
 from services.account_service import TenantService
 
-app_fields = {
-    'id': fields.String,
-    'name': fields.String,
-    'mode': fields.String,
-    'icon': fields.String,
-    'icon_background': fields.String
-}
-
-installed_app_fields = {
-    'id': fields.String,
-    'app': fields.Nested(app_fields),
-    'app_owner_tenant_id': fields.String,
-    'is_pinned': fields.Boolean,
-    'last_used_at': TimestampField,
-    'editable': fields.Boolean,
-    'uninstallable': fields.Boolean,
-}
-
-installed_app_list_fields = {
-    'installed_apps': fields.List(fields.Nested(installed_app_fields))
-}
-
 
 class InstalledAppsListApi(Resource):
     @login_required
@@ -55,18 +33,20 @@ class InstalledAppsListApi(Resource):
                 'app_owner_tenant_id': installed_app.app_owner_tenant_id,
                 'is_pinned': installed_app.is_pinned,
                 'last_used_at': installed_app.last_used_at,
-                "editable": current_user.role in ["owner", "admin"],
-                "uninstallable": current_tenant_id == installed_app.app_owner_tenant_id
+                'editable': current_user.role in ["owner", "admin"],
+                'uninstallable': current_tenant_id == installed_app.app_owner_tenant_id
             }
             for installed_app in installed_apps
         ]
-        installed_apps.sort(key=lambda app: (-app['is_pinned'], app['last_used_at']
-                            if app['last_used_at'] is not None else datetime.min))
+        installed_apps.sort(key=lambda app: (-app['is_pinned'],
+                                             app['last_used_at'] is None,
+                                             -app['last_used_at'].timestamp() if app['last_used_at'] is not None else 0))
 
         return {'installed_apps': installed_apps}
 
     @login_required
     @account_initialization_required
+    @cloud_edition_billing_resource_check('apps')
     def post(self):
         parser = reqparse.RequestParser()
         parser.add_argument('app_id', type=str, required=True, help='Invalid app_id')
@@ -101,7 +81,7 @@ class InstalledAppsListApi(Resource):
                 tenant_id=current_tenant_id,
                 app_owner_tenant_id=app.tenant_id,
                 is_pinned=False,
-                last_used_at=datetime.utcnow()
+                last_used_at=datetime.now(timezone.utc).replace(tzinfo=None)
             )
             db.session.add(new_installed_app)
             db.session.commit()

api/controllers/console/explore/message.py

@@ -1,24 +1,33 @@
-# -*- coding:utf-8 -*-
-import json
 import logging
-from typing import Generator, Union
 
-from flask import stream_with_context, Response
 from flask_login import current_user
-from flask_restful import reqparse, fields, marshal_with
+from flask_restful import marshal_with, reqparse
 from flask_restful.inputs import int_range
-from werkzeug.exceptions import NotFound, InternalServerError
+from werkzeug.exceptions import InternalServerError, NotFound
 
 import services
 from controllers.console import api
-from controllers.console.app.error import AppMoreLikeThisDisabledError, ProviderNotInitializeError, \
-    ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError
-from controllers.console.explore.error import NotCompletionAppError, AppSuggestedQuestionsAfterAnswerDisabledError
+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.llm.error import LLMRateLimitError, LLMBadRequestError, LLMAuthorizationError, LLMAPIConnectionError, \
-    ProviderTokenNotInitError, LLMAPIUnavailableError, QuotaExceededError, ModelCurrentlyNotSupportError
-from libs.helper import uuid_value, TimestampField
-from services.completion_service import CompletionService
+from core.app.entities.app_invoke_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 libs import helper
+from libs.helper import uuid_value
+from models.model import AppMode
+from services.app_generate_service import AppGenerateService
 from services.errors.app import MoreLikeThisDisabledError
 from services.errors.conversation import ConversationNotExistsError
 from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
@@ -26,31 +35,12 @@ from services.message_service import MessageService
 
 
 class MessageListApi(InstalledAppResource):
-    feedback_fields = {
-        'rating': fields.String
-    }
-
-    message_fields = {
-        'id': fields.String,
-        'conversation_id': fields.String,
-        'inputs': fields.Raw,
-        'query': fields.String,
-        'answer': fields.String,
-        'feedback': fields.Nested(feedback_fields, attribute='user_feedback', allow_null=True),
-        'created_at': TimestampField
-    }
-
-    message_infinite_scroll_pagination_fields = {
-        'limit': fields.Integer,
-        'has_more': fields.Boolean,
-        'data': fields.List(fields.Nested(message_fields))
-    }
-
     @marshal_with(message_infinite_scroll_pagination_fields)
     def get(self, installed_app):
         app_model = installed_app.app
 
-        if app_model.mode != 'chat':
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
             raise NotChatAppError()
 
         parser = reqparse.RequestParser()
@@ -67,7 +57,6 @@ class MessageListApi(InstalledAppResource):
         except services.errors.message.FirstMessageNotExistsError:
             raise NotFound("First Message Not Exists.")
 
-
 class MessageFeedbackApi(InstalledAppResource):
     def post(self, installed_app, message_id):
         app_model = installed_app.app
@@ -101,21 +90,26 @@ class MessageMoreLikeThisApi(InstalledAppResource):
         streaming = args['response_mode'] == 'streaming'
 
         try:
-            response = CompletionService.generate_more_like_this(app_model, current_user, message_id, streaming)
-            return compact_response(response)
+            response = AppGenerateService.generate_more_like_this(
+                app_model=app_model,
+                user=current_user,
+                message_id=message_id,
+                invoke_from=InvokeFrom.EXPLORE,
+                streaming=streaming
+            )
+            return helper.compact_generate_response(response)
         except MessageNotExistsError:
             raise NotFound("Message Not Exists.")
         except MoreLikeThisDisabledError:
             raise AppMoreLikeThisDisabledError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
         except QuotaExceededError:
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise e
         except Exception:
@@ -123,42 +117,12 @@ class MessageMoreLikeThisApi(InstalledAppResource):
             raise InternalServerError()
 
 
-def compact_response(response: Union[dict | Generator]) -> Response:
-    if isinstance(response, dict):
-        return Response(response=json.dumps(response), status=200, mimetype='application/json')
-    else:
-        def generate() -> Generator:
-            try:
-                for chunk in response:
-                    yield chunk
-            except MessageNotExistsError:
-                yield "data: " + json.dumps(api.handle_error(NotFound("Message Not Exists.")).get_json()) + "\n\n"
-            except MoreLikeThisDisabledError:
-                yield "data: " + json.dumps(api.handle_error(AppMoreLikeThisDisabledError()).get_json()) + "\n\n"
-            except ProviderTokenNotInitError:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
-            except QuotaExceededError:
-                yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
-            except ModelCurrentlyNotSupportError:
-                yield "data: " + json.dumps(api.handle_error(ProviderModelCurrentlyNotSupportError()).get_json()) + "\n\n"
-            except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                    LLMRateLimitError, LLMAuthorizationError) as e:
-                yield "data: " + json.dumps(api.handle_error(CompletionRequestError(str(e))).get_json()) + "\n\n"
-            except ValueError as e:
-                yield "data: " + json.dumps(api.handle_error(e).get_json()) + "\n\n"
-            except Exception:
-                logging.exception("internal server error.")
-                yield "data: " + json.dumps(api.handle_error(InternalServerError()).get_json()) + "\n\n"
-
-        return Response(stream_with_context(generate()), status=200,
-                        mimetype='text/event-stream')
-
-
 class MessageSuggestedQuestionApi(InstalledAppResource):
     def get(self, installed_app, message_id):
         app_model = installed_app.app
-        if app_model.mode != 'chat':
-            raise NotCompletionAppError()
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
+            raise NotChatAppError()
 
         message_id = str(message_id)
 
@@ -166,7 +130,8 @@ class MessageSuggestedQuestionApi(InstalledAppResource):
             questions = MessageService.get_suggested_questions_after_answer(
                 app_model=app_model,
                 user=current_user,
-                message_id=message_id
+                message_id=message_id,
+                invoke_from=InvokeFrom.EXPLORE
             )
         except MessageNotExistsError:
             raise NotFound("Message not found")
@@ -174,15 +139,14 @@ class MessageSuggestedQuestionApi(InstalledAppResource):
             raise NotFound("Conversation not found")
         except SuggestedQuestionsAfterAnswerDisabledError:
             raise AppSuggestedQuestionsAfterAnswerDisabledError()
-        except ProviderTokenNotInitError:
-            raise ProviderNotInitializeError()
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
         except QuotaExceededError:
             raise ProviderQuotaExceededError()
         except ModelCurrentlyNotSupportError:
             raise ProviderModelCurrentlyNotSupportError()
-        except (LLMBadRequestError, LLMAPIConnectionError, LLMAPIUnavailableError,
-                LLMRateLimitError, LLMAuthorizationError) as e:
-            raise CompletionRequestError(str(e))
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except Exception:
             logging.exception("internal server error.")
             raise InternalServerError()

api/controllers/console/explore/parameter.py

@@ -1,8 +1,12 @@
-# -*- coding:utf-8 -*-
-from flask_restful import marshal_with, fields
+
+from flask import current_app
+from flask_restful import fields, marshal_with
 
 from controllers.console import api
+from controllers.console.app.error import AppUnavailableError
 from controllers.console.explore.wraps import InstalledAppResource
+from models.model import AppMode, InstalledApp
+from services.app_service import AppService
 
 
 class AppParameterApi(InstalledAppResource):
@@ -17,27 +21,75 @@ class AppParameterApi(InstalledAppResource):
         'options': fields.List(fields.String)
     }
 
+    system_parameters_fields = {
+        'image_file_size_limit': fields.String
+    }
+
     parameters_fields = {
         'opening_statement': fields.String,
         'suggested_questions': fields.Raw,
         'suggested_questions_after_answer': fields.Raw,
+        'speech_to_text': fields.Raw,
+        'text_to_speech': fields.Raw,
+        'retriever_resource': fields.Raw,
+        'annotation_reply': fields.Raw,
         'more_like_this': fields.Raw,
         'user_input_form': fields.Raw,
+        'sensitive_word_avoidance': fields.Raw,
+        'file_upload': fields.Raw,
+        'system_parameters': fields.Nested(system_parameters_fields)
     }
 
     @marshal_with(parameters_fields)
-    def get(self, installed_app):
+    def get(self, installed_app: InstalledApp):
         """Retrieve app parameters."""
         app_model = installed_app.app
-        app_model_config = app_model.app_model_config
+
+        if app_model.mode in [AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value]:
+            workflow = app_model.workflow
+            if workflow is None:
+                raise AppUnavailableError()
+
+            features_dict = workflow.features_dict
+            user_input_form = workflow.user_input_form(to_old_structure=True)
+        else:
+            app_model_config = app_model.app_model_config
+            features_dict = app_model_config.to_dict()
+
+            user_input_form = features_dict.get('user_input_form', [])
 
         return {
-            'opening_statement': app_model_config.opening_statement,
-            'suggested_questions': app_model_config.suggested_questions_list,
-            'suggested_questions_after_answer': app_model_config.suggested_questions_after_answer_dict,
-            'more_like_this': app_model_config.more_like_this_dict,
-            'user_input_form': app_model_config.user_input_form_list
+            'opening_statement': features_dict.get('opening_statement'),
+            'suggested_questions': features_dict.get('suggested_questions', []),
+            'suggested_questions_after_answer': features_dict.get('suggested_questions_after_answer',
+                                                                  {"enabled": False}),
+            'speech_to_text': features_dict.get('speech_to_text', {"enabled": False}),
+            'text_to_speech': features_dict.get('text_to_speech', {"enabled": False}),
+            'retriever_resource': features_dict.get('retriever_resource', {"enabled": False}),
+            'annotation_reply': features_dict.get('annotation_reply', {"enabled": False}),
+            'more_like_this': features_dict.get('more_like_this', {"enabled": False}),
+            'user_input_form': user_input_form,
+            'sensitive_word_avoidance': features_dict.get('sensitive_word_avoidance',
+                                                          {"enabled": False, "type": "", "configs": []}),
+            'file_upload': features_dict.get('file_upload', {"image": {
+                                                     "enabled": False,
+                                                     "number_limits": 3,
+                                                     "detail": "high",
+                                                     "transfer_methods": ["remote_url", "local_file"]
+                                                 }}),
+            'system_parameters': {
+                'image_file_size_limit': current_app.config.get('UPLOAD_IMAGE_FILE_SIZE_LIMIT')
+            }
         }
 
 
-api.add_resource(AppParameterApi, '/installed-apps/<uuid:installed_app_id>/parameters', endpoint='installed_app_parameters')
+class ExploreAppMetaApi(InstalledAppResource):
+    def get(self, installed_app: InstalledApp):
+        """Get app meta"""
+        app_model = installed_app.app
+        return AppService().get_app_meta(app_model)
+
+
+api.add_resource(AppParameterApi, '/installed-apps/<uuid:installed_app_id>/parameters',
+                 endpoint='installed_app_parameters')
+api.add_resource(ExploreAppMetaApi, '/installed-apps/<uuid:installed_app_id>/meta', endpoint='installed_app_meta')

api/controllers/console/explore/recommended_app.py

@@ -1,14 +1,11 @@
-# -*- coding:utf-8 -*-
-from flask_login import login_required, current_user
-from flask_restful import Resource, fields, marshal_with
-from sqlalchemy import and_
+from flask_login import current_user
+from flask_restful import Resource, fields, marshal_with, reqparse
 
+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 models.model import App, InstalledApp, RecommendedApp
-from services.account_service import TenantService
+from libs.login import login_required
+from services.recommended_app_service import RecommendedAppService
 
 app_fields = {
     'id': fields.String,
@@ -26,10 +23,7 @@ recommended_app_fields = {
     'privacy_policy': fields.String,
     'category': fields.String,
     'position': fields.Integer,
-    'is_listed': fields.Boolean,
-    'install_count': fields.Integer,
-    'installed': fields.Boolean,
-    'editable': fields.Boolean
+    'is_listed': fields.Boolean
 }
 
 recommended_app_list_fields = {
@@ -43,96 +37,27 @@ class RecommendedAppListApi(Resource):
     @account_initialization_required
     @marshal_with(recommended_app_list_fields)
     def get(self):
-        recommended_apps = db.session.query(RecommendedApp).filter(
-            RecommendedApp.is_listed == True
-        ).all()
+        # language args
+        parser = reqparse.RequestParser()
+        parser.add_argument('language', type=str, location='args')
+        args = parser.parse_args()
 
-        categories = set()
-        current_user.role = TenantService.get_user_role(current_user, current_user.current_tenant)
-        recommended_apps_result = []
-        for recommended_app in recommended_apps:
-            installed = db.session.query(InstalledApp).filter(
-                and_(
-                    InstalledApp.app_id == recommended_app.app_id,
-                    InstalledApp.tenant_id == current_user.current_tenant_id
-                )
-            ).first() is not None
+        if args.get('language') and args.get('language') in languages:
+            language_prefix = args.get('language')
+        elif current_user and current_user.interface_language:
+            language_prefix = current_user.interface_language
+        else:
+            language_prefix = languages[0]
 
-            app = recommended_app.app
-            if not app or not app.is_public:
-                continue
-
-            language_prefix = current_user.interface_language.split('-')[0]
-            desc = None
-            if recommended_app.description:
-                if language_prefix in recommended_app.description:
-                    desc = recommended_app.description[language_prefix]
-                elif 'en' in recommended_app.description:
-                    desc = recommended_app.description['en']
-
-            recommended_app_result = {
-                'id': recommended_app.id,
-                'app': app,
-                'app_id': recommended_app.app_id,
-                'description': desc,
-                'copyright': recommended_app.copyright,
-                'privacy_policy': recommended_app.privacy_policy,
-                'category': recommended_app.category,
-                'position': recommended_app.position,
-                'is_listed': recommended_app.is_listed,
-                'install_count': recommended_app.install_count,
-                'installed': installed,
-                'editable': current_user.role in ['owner', 'admin'],
-            }
-            recommended_apps_result.append(recommended_app_result)
-
-            categories.add(recommended_app.category)  # add category to categories
-
-        return {'recommended_apps': recommended_apps_result, 'categories': list(categories)}
+        return RecommendedAppService.get_recommended_apps_and_categories(language_prefix)
 
 
 class RecommendedAppApi(Resource):
-    model_config_fields = {
-        'opening_statement': fields.String,
-        'suggested_questions': fields.Raw(attribute='suggested_questions_list'),
-        'suggested_questions_after_answer': fields.Raw(attribute='suggested_questions_after_answer_dict'),
-        'more_like_this': fields.Raw(attribute='more_like_this_dict'),
-        'model': fields.Raw(attribute='model_dict'),
-        'user_input_form': fields.Raw(attribute='user_input_form_list'),
-        'pre_prompt': fields.String,
-        'agent_mode': fields.Raw(attribute='agent_mode_dict'),
-    }
-
-    app_simple_detail_fields = {
-        'id': fields.String,
-        'name': fields.String,
-        'icon': fields.String,
-        'icon_background': fields.String,
-        'mode': fields.String,
-        'app_model_config': fields.Nested(model_config_fields),
-    }
-
     @login_required
     @account_initialization_required
-    @marshal_with(app_simple_detail_fields)
     def get(self, app_id):
         app_id = str(app_id)
-
-        # is in public recommended list
-        recommended_app = db.session.query(RecommendedApp).filter(
-            RecommendedApp.is_listed == True,
-            RecommendedApp.app_id == app_id
-        ).first()
-
-        if not recommended_app:
-            raise AppNotFoundError
-
-        # get app detail
-        app = db.session.query(App).filter(App.id == app_id).first()
-        if not app or not app.is_public:
-            raise AppNotFoundError
-
-        return app
+        return RecommendedAppService.get_recommend_app_detail(app_id)
 
 
 api.add_resource(RecommendedAppListApi, '/explore/apps')

api/controllers/console/explore/saved_message.py

@@ -1,12 +1,13 @@
 from flask_login import current_user
-from flask_restful import reqparse, marshal_with, fields
+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 libs.helper import uuid_value, TimestampField
+from fields.conversation_fields import message_file_fields
+from libs.helper import TimestampField, uuid_value
 from services.errors.message import MessageNotExistsError
 from services.saved_message_service import SavedMessageService
 
@@ -19,6 +20,7 @@ message_fields = {
     'inputs': fields.Raw,
     'query': fields.String,
     'answer': fields.String,
+    'message_files': fields.List(fields.Nested(message_file_fields), attribute='files'),
     'feedback': fields.Nested(feedback_fields, attribute='user_feedback', allow_null=True),
     'created_at': TimestampField
 }

api/controllers/console/explore/workflow.py

@@ -0,0 +1,85 @@
+import logging
+
+from flask_restful import reqparse
+from werkzeug.exceptions import InternalServerError
+
+from controllers.console import api
+from controllers.console.app.error import (
+    CompletionRequestError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from controllers.console.explore.error import NotWorkflowAppError
+from controllers.console.explore.wraps import InstalledAppResource
+from core.app.apps.base_app_queue_manager import AppQueueManager
+from core.app.entities.app_invoke_entities import InvokeFrom
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.errors.invoke import InvokeError
+from libs import helper
+from libs.login import current_user
+from models.model import AppMode, InstalledApp
+from services.app_generate_service import AppGenerateService
+
+logger = logging.getLogger(__name__)
+
+
+class InstalledAppWorkflowRunApi(InstalledAppResource):
+    def post(self, installed_app: InstalledApp):
+        """
+        Run workflow
+        """
+        app_model = installed_app.app
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode != AppMode.WORKFLOW:
+            raise NotWorkflowAppError()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('inputs', type=dict, required=True, nullable=False, location='json')
+        parser.add_argument('files', type=list, required=False, location='json')
+        args = parser.parse_args()
+
+        try:
+            response = AppGenerateService.generate(
+                app_model=app_model,
+                user=current_user,
+                args=args,
+                invoke_from=InvokeFrom.EXPLORE,
+                streaming=True
+            )
+
+            return helper.compact_generate_response(response)
+        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("internal server error.")
+            raise InternalServerError()
+
+
+class InstalledAppWorkflowTaskStopApi(InstalledAppResource):
+    def post(self, installed_app: InstalledApp, task_id: str):
+        """
+        Stop workflow task
+        """
+        app_model = installed_app.app
+        app_mode = AppMode.value_of(app_model.mode)
+        if app_mode != AppMode.WORKFLOW:
+            raise NotWorkflowAppError()
+
+        AppQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
+
+        return {
+            "result": "success"
+        }
+
+
+api.add_resource(InstalledAppWorkflowRunApi, '/installed-apps/<uuid:installed_app_id>/workflows/run')
+api.add_resource(InstalledAppWorkflowTaskStopApi, '/installed-apps/<uuid:installed_app_id>/workflows/tasks/<string:task_id>/stop')

api/controllers/console/explore/wraps.py

@@ -1,11 +1,12 @@
-from flask_login import login_required, current_user
-from flask_restful import Resource
 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 libs.login import login_required
 from models.model import InstalledApp
 
 

api/controllers/console/extension.py

@@ -0,0 +1,114 @@
+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 libs.login import login_required
+from models.api_based_extension import APIBasedExtension
+from services.api_based_extension_service import APIBasedExtensionService
+from services.code_based_extension_service import CodeBasedExtensionService
+
+
+class CodeBasedExtensionAPI(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument('module', type=str, required=True, location='args')
+        args = parser.parse_args()
+
+        return {
+            'module': args['module'],
+            'data': CodeBasedExtensionService.get_code_based_extension(args['module'])
+        }
+
+
+class APIBasedExtensionAPI(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(api_based_extension_fields)
+    def get(self):
+        tenant_id = current_user.current_tenant_id
+        return APIBasedExtensionService.get_all_by_tenant_id(tenant_id)
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(api_based_extension_fields)
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument('name', type=str, required=True, location='json')
+        parser.add_argument('api_endpoint', type=str, required=True, location='json')
+        parser.add_argument('api_key', type=str, required=True, location='json')
+        args = parser.parse_args()
+
+        extension_data = APIBasedExtension(
+            tenant_id=current_user.current_tenant_id,
+            name=args['name'],
+            api_endpoint=args['api_endpoint'],
+            api_key=args['api_key']
+        )
+
+        return APIBasedExtensionService.save(extension_data)
+
+
+class APIBasedExtensionDetailAPI(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(api_based_extension_fields)
+    def get(self, id):
+        api_based_extension_id = str(id)
+        tenant_id = current_user.current_tenant_id
+
+        return APIBasedExtensionService.get_with_tenant_id(tenant_id, api_based_extension_id)
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(api_based_extension_fields)
+    def post(self, id):
+        api_based_extension_id = str(id)
+        tenant_id = current_user.current_tenant_id
+
+        extension_data_from_db = APIBasedExtensionService.get_with_tenant_id(tenant_id, api_based_extension_id)
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('name', type=str, required=True, location='json')
+        parser.add_argument('api_endpoint', type=str, required=True, location='json')
+        parser.add_argument('api_key', type=str, required=True, location='json')
+        args = parser.parse_args()
+
+        extension_data_from_db.name = args['name']
+        extension_data_from_db.api_endpoint = args['api_endpoint']
+
+        if args['api_key'] != '[__HIDDEN__]':
+            extension_data_from_db.api_key = args['api_key']
+
+        return APIBasedExtensionService.save(extension_data_from_db)
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def delete(self, id):
+        api_based_extension_id = str(id)
+        tenant_id = current_user.current_tenant_id
+
+        extension_data_from_db = APIBasedExtensionService.get_with_tenant_id(tenant_id, api_based_extension_id)
+
+        APIBasedExtensionService.delete(extension_data_from_db)
+
+        return {'result': 'success'}
+
+
+api.add_resource(CodeBasedExtensionAPI, '/code-based-extension')
+
+api.add_resource(APIBasedExtensionAPI, '/api-based-extension')
+api.add_resource(APIBasedExtensionDetailAPI, '/api-based-extension/<uuid:id>')