redis iam check

Co-authored-by: -LAN- <laipz8200@outlook.com>

.devcontainer/Dockerfile

@@ -1,8 +1,5 @@
 FROM mcr.microsoft.com/devcontainers/python:3.10
 
-COPY . .
-
-
 # [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

@@ -1,4 +1,4 @@
-# Devlopment with devcontainer
+# Development 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
@@ -33,5 +33,5 @@ Performance Impact: While usually minimal, programs running inside a devcontaine
 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.
+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

@@ -32,8 +32,8 @@
 			]
 		}
 	},
-	"postStartCommand": "cd api && pip install -r requirements.txt",
-	"postCreateCommand": "cd web && npm install"
+	"postStartCommand": "./.devcontainer/post_start_command.sh",
+	"postCreateCommand": "./.devcontainer/post_create_command.sh"
 
 	// Features to add to the dev container. More info: https://containers.dev/features.
 	// "features": {},

.devcontainer/post_create_command.sh

@@ -0,0 +1,10 @@
+#!/bin/bash
+
+cd web && npm install
+
+echo 'alias start-api="cd /workspaces/dify/api && flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
+echo 'alias start-worker="cd /workspaces/dify/api && celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail"' >> ~/.bashrc
+echo 'alias start-web="cd /workspaces/dify/web && npm run dev"' >> ~/.bashrc
+echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify up -d"' >> ~/.bashrc
+
+source /home/vscode/.bashrc

.devcontainer/post_start_command.sh

@@ -0,0 +1,3 @@
+#!/bin/bash
+
+cd api && pip install -r requirements.txt

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -1,49 +1,60 @@
 name: "🕷️ Bug report"
-description: Report errors or unexpected behavior [please use English :）]
+description: Report errors or unexpected behavior
 labels:
-- bug
+  - bug
 body:
-- type: markdown
-  attributes:
-    value: Please make sure to [search for existing issues](https://github.com/langgenius/dify/issues) before filing a new one!
-- type: input
-  attributes:
-    label: Dify version
-    placeholder: 0.3.21
-    description: See about section in Dify console
-  validations:
-    required: true
+  - 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 question, 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: "Please do not modify this template :) and fill in all the required fields."
+          required: true
 
-- type: dropdown
-  attributes:
-    label: Cloud or Self Hosted
-    description: How / Where was Dify installed from?
-    multiple: true
-    options:
-      - Cloud
-      - Self Hosted
-      - Other (please specify in "Steps to Reproduce")
-  validations:
-    required: true
+  - type: input
+    attributes:
+      label: Dify version
+      placeholder: 0.3.21
+      description: See about section in Dify console
+    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: 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: ✔️ Expected Behavior
-    placeholder: What were you expecting?
-  validations:
-    required: false
+  - 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: ❌ Actual Behavior
-    placeholder: What happened instead?
-  validations:
-    required: false
+  - 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

@@ -1,8 +1,5 @@
 blank_issues_enabled: false
 contact_links:
-  - name: "\U0001F4DA Dify user documentation"
-    url: https://docs.dify.ai/getting-started/readme
-    about: Documentation for users of Dify
-  - name: "\U0001F4DA Dify dev documentation"
-    url: https://docs.dify.ai/getting-started/install-self-hosted
-    about: Documentation for people interested in developing and contributing for Dify
+  - 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

@@ -1,11 +1,22 @@
 name: "📚 Documentation Issue"
-description: Report issues in our documentation [please use English :）]
-labels: 
-- ducumentation
+description: Report issues in our documentation
+labels:
+  - documentation
 body:
-- 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
+  - 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: "Please 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

@@ -1,26 +1,50 @@
 name: "⭐ Feature or enhancement request"
-description: Propose something new. [please use English :）]
+description: Propose something new.
 labels:
-- enhancement
+  - enhancement
 body:
-- type: textarea
-  attributes: 
-    label: Description of the new feature / enhancement
-    placeholder: What is the expected behavior of the proposed feature?
-  validations:
-    required: true
-- type: textarea
-  attributes:
-    label: Scenario when this would be used?
-    placeholder: What is the scenario this would be used? Why is this important to your workflow as a dify user?
-  validations:
-    required: true
-- type: textarea
-  attributes:
-    label: Supporting information
-    placeholder: "Having additional evidence, data, tweets, blog posts, research, ... anything is extremely helpful. This information provides context to the scenario that may otherwise be lost."
-  validations:
-    required: false
-- type: markdown
-  attributes:
-    value: Please limit one request per issue.
+  - 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: "Please 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/help_wanted.yml

@@ -1,11 +0,0 @@
-name: "🤝 Help Wanted"
-description: "Request help from the community" [please use English :）]
-labels:
-- help-wanted
-body:
-- type: textarea
-  attributes:
-    label: Provide a description of the help you need
-    placeholder: Briefly describe what you need help with.
-  validations:
-    required: true

.github/ISSUE_TEMPLATE/translation_issue.yml

@@ -1,46 +1,54 @@
 name: "🌐 Localization/Translation issue"
 description: Report incorrect translations. [please use English :）]
 labels:
-- translation
+  - translation
 body:
-- type: markdown
-  attributes:
-    value: Please make sure to [search for existing issues](https://github.com/langgenius/dify/issues) before filing a new one!
-- 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
+  - 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: "Please 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/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 +1,157 @@
+name: Run Pytest
+
+on:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - api/**
+      - docker/**
+
+concurrency:
+  group: api-tests-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.10"
+          - "3.11"
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+          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 Unit tests
+        run: dev/pytest/pytest_unit_tests.sh
+
+      - name: Run ModelRuntime
+        run: dev/pytest/pytest_model_runtime.sh
+
+      - name: Run Tool
+        run: dev/pytest/pytest_tools.sh
+
+      - name: Set up Sandbox
+        uses: hoverkraft-tech/compose-action@v2.0.0
+        with:
+          compose-file: |
+            docker/docker-compose.middleware.yaml
+          services: |
+            sandbox
+            ssrf_proxy
+
+      - name: Run Workflow
+        run: dev/pytest/pytest_workflow.sh
+
+      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma)
+        uses: hoverkraft-tech/compose-action@v2.0.0
+        with:
+          compose-file: |
+            docker/docker-compose.middleware.yaml
+            docker/docker-compose.qdrant.yaml
+            docker/docker-compose.milvus.yaml
+            docker/docker-compose.pgvecto-rs.yaml
+            docker/docker-compose.pgvector.yaml
+            docker/docker-compose.chroma.yaml
+          services: |
+            weaviate
+            qdrant
+            etcd
+            minio
+            milvus-standalone
+            pgvecto-rs
+            pgvector
+            chroma
+
+      - name: Test Vector Stores
+        run: dev/pytest/pytest_vdb.sh
+
+  test-in-poetry:
+    name: API Tests
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.10"
+          - "3.11"
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Install Poetry
+        uses: abatilo/actions-poetry@v3
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+          cache: 'poetry'
+          cache-dependency-path: |
+            api/pyproject.toml
+            api/poetry.lock
+
+      - name: Poetry check
+        run: poetry check -C api
+
+      - name: Install dependencies
+        run: poetry install -C api --with dev
+
+      - name: Run Unit tests
+        run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh
+
+      - name: Run ModelRuntime
+        run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh
+
+      - name: Run Tool
+        run: poetry run -C api bash dev/pytest/pytest_tools.sh
+
+      - name: Set up Sandbox
+        uses: hoverkraft-tech/compose-action@v2.0.0
+        with:
+          compose-file: |
+            docker/docker-compose.middleware.yaml
+          services: |
+            sandbox
+            ssrf_proxy
+
+      - name: Run Workflow
+        run: poetry run -C api bash dev/pytest/pytest_workflow.sh
+
+      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma)
+        uses: hoverkraft-tech/compose-action@v2.0.0
+        with:
+          compose-file: |
+            docker/docker-compose.middleware.yaml
+            docker/docker-compose.qdrant.yaml
+            docker/docker-compose.milvus.yaml
+            docker/docker-compose.pgvecto-rs.yaml
+            docker/docker-compose.pgvector.yaml
+            docker/docker-compose.chroma.yaml
+          services: |
+            weaviate
+            qdrant
+            etcd
+            minio
+            milvus-standalone
+            pgvecto-rs
+            pgvector
+            chroma
+
+      - name: Test Vector Stores
+        run: poetry run -C api bash dev/pytest/pytest_vdb.sh

.github/workflows/api-unit-tests.yml

@@ -1,38 +0,0 @@
-name: Run Pytest
-
-on:
-  pull_request:
-    branches:
-      - main
-  push:
-    branches:
-      - deploy/dev
-
-jobs:
-  test:
-    runs-on: ubuntu-latest
-
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@v2
-
-    - name: Set up Python
-      uses: actions/setup-python@v2
-      with:
-        python-version: '3.10'
-
-    - name: Cache pip dependencies
-      uses: actions/cache@v2
-      with:
-        path: ~/.cache/pip
-        key: ${{ runner.os }}-pip-${{ hashFiles('api/requirements.txt') }}
-        restore-keys: ${{ runner.os }}-pip-
-
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install pytest
-        pip install -r api/requirements.txt
-
-    - name: Run pytest
-      run: pytest api/tests/unit_tests

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

@@ -1,60 +0,0 @@
-name: Build and Push API Image
-
-on:
-  push:
-    branches:
-      - 'main'
-      - 'deploy/dev'
-  release:
-    types: [published]
-
-jobs:
-  build-and-push:
-    runs-on: ubuntu-latest
-    if: github.event.pull_request.draft == false
-    steps:
-    - name: Set up QEMU
-      uses: docker/setup-qemu-action@v2
-
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v2
-
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-    - name: Extract metadata (tags, labels) for Docker
-      id: meta
-      uses: docker/metadata-action@v4
-      with:
-        images: langgenius/dify-api
-        tags: |
-          type=raw,value=latest,enable=${{ 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@v4
-      with:
-        context: "{{defaultContext}}:api"
-        platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
-        build-args: |
-          COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
-        push: true
-        tags: ${{ steps.meta.outputs.tags }}
-        labels: ${{ steps.meta.outputs.labels }}
-        cache-from: type=gha
-        cache-to: type=gha,mode=max
-
-    - name: Deploy to server
-      if: github.ref == 'refs/heads/deploy/dev'
-      uses: appleboy/ssh-action@v0.1.8
-      with:
-        host: ${{ secrets.SSH_HOST }}
-        username: ${{ secrets.SSH_USER }}
-        key: ${{ secrets.SSH_PRIVATE_KEY }}
-        script: |
-          ${{ secrets.SSH_SCRIPT }}

.github/workflows/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.yml

@@ -1,60 +0,0 @@
-name: Build and Push WEB Image
-
-on:
-  push:
-    branches:
-      - 'main'
-      - 'deploy/dev'
-  release:
-    types: [published]
-
-jobs:
-  build-and-push:
-    runs-on: ubuntu-latest
-    if: github.event.pull_request.draft == false
-    steps:
-    - name: Set up QEMU
-      uses: docker/setup-qemu-action@v2
-
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v2
-
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-    - name: Extract metadata (tags, labels) for Docker
-      id: meta
-      uses: docker/metadata-action@v4
-      with:
-        images: langgenius/dify-web
-        tags: |
-          type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
-          type=ref,event=branch
-          type=sha,enable=true,priority=100,prefix=,suffix=,format=long
-          type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
-
-    - name: Build and push
-      uses: docker/build-push-action@v4
-      with:
-        context: "{{defaultContext}}:web"
-        platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
-        build-args: |
-          COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
-        push: true
-        tags: ${{ steps.meta.outputs.tags }}
-        labels: ${{ steps.meta.outputs.labels }}
-        cache-from: type=gha
-        cache-to: type=gha,mode=max
-
-    - name: Deploy to server
-      if: github.ref == 'refs/heads/deploy/dev'
-      uses: appleboy/ssh-action@v0.1.8
-      with:
-        host: ${{ secrets.SSH_HOST }}
-        username: ${{ secrets.SSH_USER }}
-        key: ${{ secrets.SSH_PRIVATE_KEY }}
-        script: |
-          ${{ secrets.SSH_SCRIPT }}

.github/workflows/db-migration-test.yml

@@ -0,0 +1,57 @@
+name: DB Migration Test
+
+on:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - api/migrations/**
+
+concurrency:
+  group: db-migration-test-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  db-migration-test:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.10"
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Install Poetry
+        uses: abatilo/actions-poetry@v3
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+          cache: 'poetry'
+          cache-dependency-path: |
+            api/pyproject.toml
+            api/poetry.lock
+
+      - name: Install dependencies
+        run: poetry install -C api
+
+      - name: Set up Middleware
+        uses: hoverkraft-tech/compose-action@v2.0.0
+        with:
+          compose-file: |
+            docker/docker-compose.middleware.yaml
+          services: |
+            db
+
+      - name: Prepare configs
+        run: |
+          cd api
+          cp .env.example .env
+
+      - name: Run DB Migration
+        run: |
+          cd api
+          poetry run python -m flask db upgrade

.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

@@ -7,7 +7,7 @@ name: Mark stale issues and pull requests
 
 on:
   schedule:
-  - cron: '0 3 * * *'
+    - cron: '0 3 * * *'
 
 jobs:
   stale:
@@ -18,13 +18,13 @@ jobs:
       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'
+      - 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 +1,118 @@
+name: Style check
+
+on:
+  pull_request:
+    branches:
+      - main
+
+concurrency:
+  group: style-${{ 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: Check changed files
+        id: changed-files
+        uses: tj-actions/changed-files@v44
+        with:
+          files: api/**
+
+      - name: Install Poetry
+        uses: abatilo/actions-poetry@v3
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        if: steps.changed-files.outputs.any_changed == 'true'
+        with:
+          python-version: '3.10'
+
+      - name: Python dependencies
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: poetry install -C api --only lint
+
+      - name: Ruff check
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: poetry run -C api ruff check --preview ./api
+
+      - name: Dotenv check
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
+
+      - name: Lint hints
+        if: failure()
+        run: echo "Please run 'dev/reformat' to fix the fixable linting errors."
+
+  web-style:
+    name: Web Style
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: ./web
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Check changed files
+        id: changed-files
+        uses: tj-actions/changed-files@v44
+        with:
+          files: web/**
+
+      - name: Setup NodeJS
+        uses: actions/setup-node@v4
+        if: steps.changed-files.outputs.any_changed == 'true'
+        with:
+          node-version: 20
+          cache: yarn
+          cache-dependency-path: ./web/package.json
+
+      - name: Web dependencies
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: yarn install --frozen-lockfile
+
+      - name: Web style check
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: yarn run lint
+
+
+  superlinter:
+    name: SuperLinter
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Check changed files
+        id: changed-files
+        uses: tj-actions/changed-files@v44
+        with:
+          files: |
+            **.sh
+            **.yaml
+            **.yml
+            Dockerfile
+
+      - name: Super-linter
+        uses: super-linter/super-linter/slim@v6
+        if: steps.changed-files.outputs.any_changed == 'true'
+        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_XML: true
+          VALIDATE_YAML: true

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

@@ -0,0 +1,41 @@
+name: Run Unit Test For SDKs
+
+on:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - sdks/**
+
+concurrency:
+  group: sdk-tests-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+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

@@ -134,7 +134,8 @@ dmypy.json
 web/.vscode/settings.json
 
 # Intellij IDEA Files
-.idea/
+.idea/*
+!.idea/vcs.xml
 .ideaDataSources/
 
 api/.env
@@ -145,10 +146,15 @@ docker/volumes/db/data/*
 docker/volumes/redis/data/*
 docker/volumes/weaviate/*
 docker/volumes/qdrant/*
+docker/volumes/etcd/*
+docker/volumes/minio/*
+docker/volumes/milvus/*
+docker/volumes/chroma/*
 
 sdks/python-client/build
 sdks/python-client/dist
 sdks/python-client/dify_client.egg-info
 
 .vscode/*
-!.vscode/launch.json
+!.vscode/launch.json
+pyrightconfig.json

.idea/vcs.xml

@@ -0,0 +1,16 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="IssueNavigationConfiguration">
+    <option name="links">
+      <list>
+        <IssueNavigationLink>
+          <option name="issueRegexp" value="#(\d+)" />
+          <option name="linkRegexp" value="https://github.com/langgenius/dify/issues/$1" />
+        </IssueNavigationLink>
+      </list>
+    </option>
+  </component>
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

CONTRIBUTING.md

@@ -1,61 +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/j3XRWSPBf7). We are here to help!
-
-### i18n (Internationalization) Support
-
-We are looking for contributors to help with translations in other languages. If you are interested in helping, please join the [Discord Community Server](https://discord.gg/AhzKf7dNgk) and let us know.  
-Also check out the [Frontend i18n README]((web/i18n/README_EN.md)) for more information.
+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

@@ -1,57 +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。
+### 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 [Git 仓库](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 的仓库：
+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)。
 
-### 多语言支持
+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：
 
-需要参与贡献翻译内容，请参阅[前端多语言翻译 README](web/i18n/README_CN.md)。
+### 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 +1,160 @@
-# コントリビュート
+Dify にコントリビュートしたいとお考えなのですね。それは素晴らしいことです。
+私たちは、LLM アプリケーションの構築と管理のための最も直感的なワークフローを設計するという壮大な野望を持っています。人数も資金も限られている新興企業として、コミュニティからの支援は本当に重要です。
 
-[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。
+私たちは現状を鑑み、機敏かつ迅速に開発をする必要がありますが、同時にあなたのようなコントリビューターの方々に、可能な限りスムーズな貢献体験をしていただきたいと思っています。そのためにこのコントリビュートガイドを作成しました。
+コードベースやコントリビュータの方々と私たちがどのように仕事をしているのかに慣れていただき、楽しいパートにすぐに飛び込めるようにすることが目的です。
 
-### 依存関係のインストール
+このガイドは Dify そのものと同様に、継続的に改善されています。実際のプロジェクトに遅れをとることがあるかもしれませんが、ご理解をお願いします。
 
-[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:
+ライセンスに関しては、私たちの短い[ライセンスおよびコントリビューター規約](./LICENSE)をお読みください。また、コミュニティは[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を遵守しています。
 
-- [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
+## 飛び込む前に
 
-## ローカル開発
+[既存の Issue](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) を探すか、[新しい Issue](https://github.com/langgenius/dify/issues/new/choose) を作成してください。私たちは Issue を 2 つのタイプに分類しています。
 
-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。
+### 機能リクエスト
 
-### リポジトリのフォーク
+* 新しい機能要望を出す場合は、提案する機能が何を実現するものなのかを説明し、可能な限り多くの文脈を含めてください。[@perzeusss](https://github.com/perzeuss)は、あなたの要望を書き出すのに役立つ [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) を作ってくれました。気軽に試してみてください。
 
-[リポジトリ](https://github.com/langgenius/dify) をフォークする必要があります。
+* 既存の課題から 1 つ選びたい場合は、その下にコメントを書いてください。
 
-### リポジトリのクローン
+  関連する方向で作業しているチームメンバーが参加します。すべてが良好であれば、コーディングを開始する許可が与えられます。私たちが変更を提案した場合にあなたの作業が無駄になることがないよう、それまでこの機能の作業を控えていただくようお願いいたします。
 
-GitHub でフォークしたリポジトリのクローンを作成する:
+  提案された機能がどの分野に属するかによって、あなたは異なるチーム・メンバーと話をするかもしれません。以下は、各チームメンバーが現在取り組んでいる分野の概要です。
+
+| Member                                                                                  | Scope                                |
+| --------------------------------------------------------------------------------------- | ------------------------------------ |
+| [@yeuoly](https://github.com/Yeuoly)                                                    | エージェントアーキテクチャ           |
+| [@jyong](https://github.com/JohnJyong)                                                  | RAG パイプライン設計                 |
+| [@GarfieldDai](https://github.com/GarfieldDai)                                          | workflow orchestrations の構築       |
+| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh)           | フロントエンドを使いやすくする       |
+| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 開発者体験、何でも相談できる窓口     |
+| [@takatost](https://github.com/takatost)                                                | 全体的な製品の方向性とアーキテクチャ |
+
+優先順位の付け方:
+
+| Feature Type                                                                                                          | Priority        |
+| --------------------------------------------------------------------------------------------------------------------- | --------------- |
+| チームメンバーによってラベル付けされた優先度の高い機能                                                                | High Priority   |
+| [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks)の人気の機能リクエスト | Medium Priority |
+| 非コア機能とマイナーな機能強化                                                                                        | Low Priority    |
+| 価値はあるが即効性はない                                                                                              | Future-Feature  |
+
+### その他 (バグレポート、パフォーマンスの最適化、誤字の修正など)
+
+* すぐにコーディングを始めてください
+
+優先順位の付け方:
+
+| Issue Type                                                                             | Priority        |
+| -------------------------------------------------------------------------------------- | --------------- |
+| コア機能のバグ（ログインできない、アプリケーションが動作しない、セキュリティの抜け穴） | Critical        |
+| 致命的でないバグ、パフォーマンス向上                                                   | Medium Priority |
+| 細かな修正（誤字脱字、機能はするが分かりにくい UI）                                  | Low Priority    |
+
+## インストール
+
+Dify を開発用にセットアップする手順は以下の通りです。
+
+### 1. このリポジトリをフォークする
+
+### 2. リポジトリをクローンする
+
+フォークしたリポジトリをターミナルからクローンします。
 
 ```
 git clone git@github.com:<github_username>/dify.git
 ```
 
-### バックエンドのインストール
+### 3. 依存関係の確認
 
-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。
+Dify を構築するには次の依存関係が必要です。それらがシステムにインストールされていることを確認してください。
 
-### フロントエンドのインストール
+- [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
 
-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。
+### 4. インストール
 
-### ブラウザで dify にアクセス
+Dify はバックエンドとフロントエンドから構成されています。
+まず`cd api/`でバックエンドのディレクトリに移動し、[Backend README](api/README.md)に従ってインストールします。
+次に別のターミナルで、`cd web/`でフロントエンドのディレクトリに移動し、[Frontend README](web/README.md)に従ってインストールしてください。
 
-[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)。
+よくある問題とトラブルシューティングの手順については、[installation FAQ](https://docs.dify.ai/getting-started/faq/install-faq) を確認してください。
 
-## プルリクエストの作成
+### 5. ブラウザで dify にアクセスする
 
-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。
+設定を確認するために、ブラウザで[http://localhost:3000](http://localhost:3000)(デフォルト、または自分で設定した URL とポート)にアクセスしてください。Dify が起動して実行中であることが確認できるはずです。
 
-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。
+## 開発中
 
-## コミュニティチャンネル
+モデルプロバイダーを追加する場合は、[このガイド](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)が役立ちます。
 
-お困りですか？何か質問がありますか？ [Discord Community サーバ](https://discord.gg/j3XRWSPBf7) に参加してください。私たちがお手伝いします！
+Agent や Workflow にツールプロバイダーを追加する場合は、[このガイド](./api/core/tools/README.md)が役立ちます。
+
+Dify のバックエンドとフロントエンドの概要を簡単に説明します。
+
+### バックエンド
+
+Dify のバックエンドは[Flask](https://flask.palletsprojects.com/en/3.0.x/)を使って Python で書かれています。ORM には[SQLAlchemy](https://www.sqlalchemy.org/)を、タスクキューには[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)を使っています。認証ロジックは Flask-login 経由で行われます。
+
+```
+[api/]
+├── constants             // コードベース全体で使用される定数設定
+├── controllers           // APIルート定義とリクエスト処理ロジック
+├── core                  // アプリケーションの中核的な管理、モデル統合、およびツール
+├── docker                // Dockerおよびコンテナ関連の設定
+├── events                // イベントのハンドリングと処理
+├── extensions            // 第三者のフレームワーク/プラットフォームとの拡張
+├── fields                // シリアライゼーション/マーシャリング用のフィールド定義
+├── libs                  // 再利用可能なライブラリとヘルパー
+├── migrations            // データベースマイグレーションスクリプト
+├── models                // データベースモデルとスキーマ定義
+├── services              // ビジネスロジックの定義
+├── storage               // 秘密鍵の保存
+├── tasks                 // 非同期タスクとバックグラウンドジョブの処理
+└── tests                 // テスト関連のファイル
+```
+
+### フロントエンド
+
+このウェブサイトは、Typescript の[Next.js](https://nextjs.org/)ボイラープレートでブートストラップされており、スタイリングには[Tailwind CSS](https://tailwindcss.com/)を使用しています。国際化には[React-i18next](https://react.i18next.com/)を使用しています。
+
+```
+[web/]
+├── app                   // レイアウト、ページ、コンポーネント
+│   ├── (commonLayout)    // アプリ全体で共通のレイアウト
+│   ├── (shareLayout)     // トークン特有のセッションで共有されるレイアウト
+│   ├── activate          // アクティベートページ
+│   ├── components        // ページやレイアウトで共有されるコンポーネント
+│   ├── install           // インストールページ
+│   ├── signin            // サインインページ
+│   └── styles            // グローバルに共有されるスタイル
+├── assets                // 静的アセット
+├── bin                   // ビルドステップで実行されるスクリプト
+├── config                // 調整可能な設定とオプション
+├── context               // アプリの異なる部分で使用される共有コンテキスト
+├── dictionaries          // 言語別の翻訳ファイル
+├── docker                // コンテナ設定
+├── hooks                 // 再利用可能なフック
+├── i18n                  // 国際化設定
+├── models                // データモデルとAPIレスポンスの形状を記述
+├── public                // ファビコンなどのメタアセット
+├── service               // APIアクションの形状を指定
+├── test
+├── types                 // 関数のパラメータと戻り値の記述
+└── utils                 // 共有ユーティリティ関数
+```
+
+## PR を投稿する
+
+いよいよ、私たちのリポジトリにプルリクエスト (PR) を提出する時が来ました。主要な機能については、まず `deploy/dev` ブランチにマージしてテストしてから `main` ブランチにマージします。
+マージ競合などの問題が発生した場合、またはプル リクエストを開く方法がわからない場合は、[GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) をチェックしてみてください。
+
+これで完了です！あなたの PR がマージされると、[README](https://github.com/langgenius/dify/blob/main/README.md) にコントリビューターとして紹介されます。
+
+## ヘルプを得る
+
+コントリビュート中に行き詰まったり、疑問が生じたりした場合は、GitHub の関連する issue から質問していただくか、[Discord](https://discord.gg/8Tpq4AcN9c)でチャットしてください。

LICENSE

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

Makefile

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

README.md

@@ -1,78 +1,174 @@
-[![](./images/describe.png)](https://dify.ai)
+![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="./README_ES.md">Español</a> |
-  <a href="./README_KL.md">Klingon</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>
 
 <p align="center">
     <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
+        <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"
+        <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?style=social&logo=X"
+        <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"></a>
+        <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>
 
-**Dify** is an LLM application development platform that has already seen over **100,000** applications built on Dify.AI. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine. With Dify, **you can self-deploy capabilities similar to Assistants API and GPTs based on any LLMs.**
-
-![](./images/demo.png)
-
-## Use Cloud Services
-
-Using [Dify.AI Cloud](https://dify.ai) provides all the capabilities of the open-source version, and includes a complimentary 200 GPT trial credits.
-
-## Why Dify
-
-Dify features model neutrality and is a complete, engineered tech stack compared to hardcoded development libraries like LangChain. Unlike OpenAI's Assistants API, Dify allows for full local deployment of services.
-
-| Feature | Dify.AI | Assistants API | LangChain |
-|---------|---------|----------------|-----------|
-| **Programming Approach** | API-oriented | API-oriented | Python Code-oriented |
-| **Ecosystem Strategy** | Open Source | Closed and Commercial | Open Source |
-| **RAG Engine** | Supported | Supported | Not Supported |
-| **Prompt IDE** | Included | Included | None |
-| **Supported LLMs** | Rich Variety | Only GPT | Rich Variety |
-| **Local Deployment** | Supported | Not Supported | Not Applicable |
-
-## Features
-
-![](./images/models.png)
-
-**1. LLM Support**: Integration with OpenAI's GPT family of models, or the open-source Llama2 family models. In fact, Dify supports mainstream commercial models and open-source models (locally deployed or based on MaaS).
-
-**2. Prompt IDE**: Visual orchestration of applications and services based on LLMs with your team.
-
-**3. RAG Engine**: Includes various RAG capabilities based on full-text indexing or vector database embeddings, allowing direct upload of PDFs, TXTs, and other text formats.
-
-**4. Agents**: A Function Calling based Agent framework that allows users to configure what they see is what they get. Dify includes basic plugin capabilities like Google Search.
-
-**5. Continuous Operations**: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models using production data.
-
-## Before You Start
-
-- [Website](https://dify.ai)
-- [Docs](https://docs.dify.ai)
-- [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
-- [FAQ](https://docs.dify.ai/getting-started/faq) 
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+</p>
 
 
-## Install the Community Edition
+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>
 
-### System Requirements
+**1. Workflow**: 
+  Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
 
-Before installing Dify, make sure your machine meets the following minimum system requirements:
 
-- CPU >= 2 Core
-- RAM >= 4GB
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-### Quick Start
+
+
+**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, Llama3, 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 Features (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:
 
@@ -81,34 +177,65 @@ 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 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.
 
-### Helm Chart
+> 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)
 
-A big thanks to @BorisPolonsky for providing us with a [Helm Chart](https://helm.sh/) version, which allows Dify to be deployed on Kubernetes.
-You can go to https://github.com/BorisPolonsky/dify-helm for deployment information.
+## Next steps
 
-### Configuration
+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 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 in our [docs](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)
 
 
-## Star History
+## 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)
 
 
-## Community & Support
-
-We welcome you to contribute to Dify to help make Dify better in various ways, submitting code, issues, new ideas, or sharing the interesting and useful AI applications you have created based on Dify. At the same time, we also welcome you to share Dify at different events, conferences, and social media.
-
-- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs and errors you encounter using Dify.AI, see the [Contribution Guide](CONTRIBUTING.md).
-- [Email Support](mailto:hello@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.
-- [Business License](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Best for: business inquiries of licensing Dify.AI for commercial use.
-
-## Security Disclosure
+## 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.
 

README_AR.md

@@ -0,0 +1,225 @@
+![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">الاستضافة الذاتية</a> ·
+  <a href="https://docs.dify.ai">التوثيق</a> ·
+  <a href="https://cal.com/guchenhe/60-min-meeting">استفسارات الشركات</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="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+</p>
+
+<div style="text-align: right;">
+مشروع Dify هو منصة تطوير تطبيقات الذكاء الصناعي مفتوحة المصدر. تجمع واجهته البديهية بين سير العمل الذكي بالذكاء الاصطناعي وخط أنابيب RAG وقدرات الوكيل وإدارة النماذج وميزات الملاحظة وأكثر من ذلك، مما يتيح لك الانتقال بسرعة من المرحلة التجريبية إلى الإنتاج. إليك قائمة بالميزات الأساسية:
+</br> </br>
+
+**1. سير العمل**:  قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر.
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+**2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+**3. بيئة التطوير للأوامر**: واجهة بيئة التطوير المبتكرة لصياغة الأمر ومقارنة أداء النموذج، وإضافة ميزات إضافية مثل تحويل النص إلى كلام إلى تطبيق قائم على الدردشة.
+
+**4. خط أنابيب RAG**: قدرات RAG الواسعة التي تغطي كل شيء من استيعاب الوثائق إلى الاسترجاع، مع الدعم الفوري لاستخراج النص من ملفات PDF و PPT وتنسيقات الوثائق الشائعة الأخرى.
+
+**5. قدرات الوكيل**: يمكنك تعريف الوكلاء بناءً على أمر وظيفة LLM أو ReAct، وإضافة أدوات مدمجة أو مخصصة للوكيل. توفر Dify أكثر من 50 أداة مدمجة لوكلاء الذكاء الاصطناعي، مثل البحث في Google و DELL·E وStable Diffusion و WolframAlpha.
+
+**6. الـ LLMOps**: راقب وتحلل سجلات التطبيق والأداء على مر الزمن. يمكنك تحسين الأوامر والبيانات والنماذج باستمرار استنادًا إلى البيانات الإنتاجية والتعليقات.
+
+**7.الواجهة الخلفية (Backend) كخدمة**: تأتي جميع عروض Dify مع APIs مطابقة، حتى يمكنك دمج Dify بسهولة في منطق أعمالك الخاص.
+## مقارنة الميزات
+<table style="width: 100%;">
+  <tr>
+    <th align="center">الميزة</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">نهج البرمجة</td>
+    <td align="center">موجّه لـ تطبيق + واجهة برمجة تطبيق (API)</td>
+    <td align="center">برمجة Python</td>
+    <td align="center">موجه لتطبيق</td>
+    <td align="center">واجهة برمجة تطبيق (API)</td>
+  </tr>
+  <tr>
+    <td align="center">LLMs المدعومة</td>
+    <td align="center">تنوع غني</td>
+    <td align="center">تنوع غني</td>
+    <td align="center">تنوع غني</td>
+    <td align="center">فقط OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">محرك RAG</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">الوكيل</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">سير العمل</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">الملاحظة</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">ميزات الشركات (SSO / مراقبة الوصول)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">نشر محلي</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+
+## استخدام Dify
+- **سحابة </br>**
+نحن نستضيف [خدمة Dify Cloud](https://dify.ai) لأي شخص لتجربتها بدون أي إعدادات. توفر كل قدرات النسخة التي تمت استضافتها ذاتيًا، وتتضمن 200 أمر GPT-4 مجانًا في خطة الصندوق الرملي.
+
+- **استضافة ذاتية لنسخة المجتمع Dify</br>**
+ابدأ سريعًا في تشغيل Dify في بيئتك باستخدام [دليل البدء السريع](#البدء السريع).
+استخدم [توثيقنا](https://docs.dify.ai) للمزيد من المراجع والتعليمات الأعمق.
+
+- **مشروع Dify للشركات / المؤسسات</br>**
+نحن نوفر ميزات إضافية مركزة على الشركات. [جدول اجتماع معنا](https://cal.com/guchenhe/30min) أو [أرسل لنا بريدًا إلكترونيًا](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) لمناقشة احتياجات الشركات. </br>
+> بالنسبة للشركات الناشئة والشركات الصغيرة التي تستخدم خدمات AWS، تحقق من [Dify Premium على AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) ونشرها في شبكتك الخاصة على AWS VPC بنقرة واحدة. إنها عرض AMI بأسعار معقولة مع خيار إنشاء تطبيقات بشعار وعلامة تجارية مخصصة.
+## البقاء قدمًا
+
+قم بإضافة نجمة إلى Dify على GitHub وتلق تنبيهًا فوريًا بالإصدارات الجديدة.
+
+![نجمنا](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+## البداية السريعة
+> قبل تثبيت Dify، تأكد من أن جهازك يلبي الحد الأدنى من متطلبات النظام التالية:
+> 
+>- معالج >= 2 نواة
+>- ذاكرة وصول عشوائي (RAM) >= 4 جيجابايت
+
+</br>
+
+أسهل طريقة لبدء تشغيل خادم Dify هي تشغيل ملف [docker-compose.yml](docker/docker-compose.yaml) الخاص بنا. قبل تشغيل أمر التثبيت، تأكد من تثبيت [Docker](https://docs.docker.com/get-docker/) و [Docker Compose](https://docs.docker.com/compose/install/) على جهازك:
+
+```bash
+cd docker
+docker compose up -d
+```
+بعد التشغيل، يمكنك الوصول إلى لوحة تحكم Dify في متصفحك على [http://localhost/install](http://localhost/install) وبدء عملية التهيئة.
+
+> إذا كنت ترغب في المساهمة في Dify أو القيام بتطوير إضافي، فانظر إلى [دليلنا للنشر من الشفرة (code) المصدرية](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## الخطوات التالية
+
+إذا كنت بحاجة إلى تخصيص التكوين، يرجى الرجوع إلى التعليقات في ملف [docker-compose.yml](docker/docker-compose.yaml) لدينا وتعيين التكوينات البيئية يدويًا. بعد إجراء التغييرات، يرجى تشغيل `docker-compose up -d` مرة أخرى. يمكنك رؤية قائمة كاملة بالمتغيرات البيئية [هنا](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+إذا كنت ترغب في تكوين إعداد متوفر بشكل عالي، فهناك [رسوم بيانية Helm](https://helm.sh/) المساهمة من المجتمع تسمح بنشر Dify على Kubernetes.
+
+- [رسم بياني Helm من قبل @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [رسم بياني Helm من قبل @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+
+
+## المساهمة
+
+لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا. 
+في الوقت نفسه، يرجى النظر في دعم Dify عن طريق مشاركته على وسائل التواصل الاجتماعي وفي الفعاليات والمؤتمرات.
+
+
+> نحن نبحث عن مساهمين لمساعدة في ترجمة Dify إلى لغات أخرى غير اللغة الصينية المندرين أو الإنجليزية. إذا كنت مهتمًا بالمساعدة، يرجى الاطلاع على [README للترجمة](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) لمزيد من المعلومات، واترك لنا تعليقًا في قناة `global-users` على [خادم المجتمع على Discord](https://discord.gg/8Tpq4AcN9c).
+
+**المساهمون**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## المجتمع والاتصال
+* [مناقشة Github](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة.
+* [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [البريد الإلكتروني](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). الأفضل لـ: الأسئلة التي تتعلق باستخدام Dify.AI.
+* [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
+* [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
+
+أو، قم بجدولة اجتماع مباشرة مع أحد أعضاء الفريق:
+
+<table>
+  <tr>
+    <th>نقطة الاتصال</th>
+    <th>الغرض</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>استفسارات الأعمال واقتراحات حول المنتج</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>المساهمات والمشكلات وطلبات الميزات</td>
+  </tr>
+</table>
+
+## تاريخ النجمة
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## الكشف عن الأمان
+
+لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى security@dify.ai وسنقدم لك إجابة أكثر تفصيلاً.
+
+## الرخصة
+
+هذا المستودع متاح تحت [رخصة البرنامج الحر Dify](LICENSE)، والتي تعتبر بشكل أساسي Apache 2.0 مع بعض القيود الإضافية.

README_CN.md

@@ -1,63 +1,168 @@
-[![](./images/describe.png)](https://dify.ai)
-<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="./README_ES.md">Español</a> |
-  <a href="./README_KL.md">Klingon</a>
-</p>
+![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="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
+        <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"
+        <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?style=social&logo=X"
+        <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"></a>
+        <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>
 
-Dify 是一个 LLM 应用开发平台，已经有超过 10 万个应用基于 Dify.AI 构建。它融合了 Backend as Service 和 LLMOps 的理念，涵盖了构建生成式 AI 原生应用所需的核心技术栈，包括一个内置 RAG 引擎。使用 Dify，你可以基于任何模型自部署类似 Assistants API 和 GPTs 的能力。
-
-![](./images/demo.png)
-
-## 为什么选择 Dify
-
-Dify 具有模型中立性，相较 LangChain 等硬编码开发库 Dify 是一个完整的、工程化的技术栈，而相较于 OpenAI 的 Assistants API 你可以完全将服务部署在本地。
-
-| 功能 | Dify.AI | Assistants API | LangChain |
-| --- | --- | --- | --- |
-| 编程方式 | 面向 API | 面向 API | 面向 Python 代码 |
-| 生态策略 | 开源 | 封闭且商用 | 开源 |
-| RAG 引擎 | 支持 | 支持 | 不支持 |
-| Prompt IDE | 包含 | 包含 | 没有 |
-| 支持的 LLMs | 丰富 | 仅 GPT | 丰富 |
-| 本地部署 | 支持 | 不支持 | 不适用 |
+<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>
+  <a href="./README_KR.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/韓國語-d9d9d9"></a>
+</div>
 
 
-## 特点
+#
 
-![](./images/models.png)
+<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>
 
-**1. LLM支持**：与 OpenAI 的 GPT 系列模型集成,或者与开源的 Llama2 系列模型集成。事实上，Dify支持主流的商业模型和开源模型(本地部署或基于 MaaS)。
+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、RAG 管道、Agent、模型管理、可观测性功能等，让您可以快速从原型到生产。以下是其核心功能列表：
+</br> </br>
 
-**2. Prompt IDE**：和团队一起在 Dify 协作，通过可视化的 Prompt 和应用编排工具开发 AI 应用。 支持无缝切换多种大型语言模型。
+**1. 工作流**: 
+  在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。
 
-**3. RAG引擎**：包括各种基于全文索引或向量数据库嵌入的 RAG 能力，允许直接上传 PDF、TXT 等各种文本格式。
 
-**4. Agent**：基于函数调用的 Agent框架，允许用户自定义配置，所见即所得。Dify 提供了基本的插件能力，如谷歌搜索。
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-**5. 持续运营**：监控和分析应用日志和性能，使用生产数据持续改进 Prompt、数据集或模型。
 
-## 在开始之前
 
-- [网站](https://dify.ai)
-- [文档](https://docs.dify.ai)
-- [部署文档](https://docs.dify.ai/getting-started/install-self-hosted)
-- [常见问题](https://docs.dify.ai/getting-started/faq)
+**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、Llama3 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 Agent，并为 Agent 添加预构建或自定义工具。Dify 为 AI Agent 提供了50多种内置工具，如谷歌搜索、DELL·E、Stable Diffusion 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标注持续改进提示、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 Assistant 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">Agent</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</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">可观测性</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
 
@@ -79,10 +184,12 @@ docker compose up -d
 
 运行后，可以在浏览器上访问 [http://localhost/install](http://localhost/install) 进入 Dify 控制台并开始初始化安装操作。
 
-### Helm Chart
+#### 使用 Helm Chart 部署
 
-非常感谢 @BorisPolonsky 为我们提供了一个 [Helm Chart](https://helm.sh/) 版本，可以在 Kubernetes 上部署 Dify。
-您可以前往 https://github.com/BorisPolonsky/dify-helm 来获取部署信息。
+使用 [Helm Chart](https://helm.sh/) 版本，可以在 Kubernetes 上部署 Dify。
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 
 ### 配置
 
@@ -93,10 +200,24 @@ docker compose up -d
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
 
+## Contributing
+
+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。
+
+> 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。
+
+**Contributors**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
 ## 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。
@@ -111,4 +232,4 @@ docker compose up -d
 
 ## 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

@@ -1,107 +1,246 @@
-[![](./images/describe.png)](https://dify.ai)
+![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="./README_ES.md">Español</a>
+  <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="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
+        <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"
-            alt="chat on Discord"></a>
+        <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?style=social&logo=X"
-            alt="follow on Twitter"></a>
+        <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="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
+        <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>
 
-**Dify** es una plataforma de desarrollo de aplicaciones para modelos de lenguaje de gran tamaño (LLM) que ya ha visto la creación de más de **100,000** aplicaciones basadas en Dify.AI. Integra los conceptos de Backend como Servicio y LLMOps, cubriendo el conjunto de tecnologías esenciales requerido para construir aplicaciones nativas de inteligencia artificial generativa, incluyendo un motor RAG incorporado. Con Dify, **puedes auto-desplegar capacidades similares a las de Assistants API y GPTs basadas en cualquier LLM.**
+<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>
+  <a href="./README_KR.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+</p>
 
-![](./images/demo.png)
+#
 
-## Utilizar Servicios en la Nube
+<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>
 
-Usar [Dify.AI Cloud](https://dify.ai) proporciona todas las capacidades de la versión de código abierto, e incluye un complemento de 200 créditos de prueba para GPT.
+**1. Flujo de trabajo**: 
+  Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
 
-## Por qué Dify
 
-Dify se caracteriza por su neutralidad de modelo y es un conjunto tecnológico completo e ingenierizado, en comparación con las bibliotecas de desarrollo codificadas como LangChain. A diferencia de la API de Assistants de OpenAI, Dify permite el despliegue local completo de los servicios.
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-| Característica | Dify.AI | API de Assistants | LangChain |
-|----------------|---------|------------------|-----------|
-| **Enfoque de Programación** | Orientado a API | Orientado a API | Orientado a Código en Python |
-| **Estrategia del Ecosistema** | Código Abierto | Cerrado y Comercial | Código Abierto |
-| **Motor RAG** | Soportado | Soportado | No Soportado |
-| **IDE de Prompts** | Incluido | Incluido | Ninguno |
-| **LLMs Soportados** | Gran Variedad | Solo GPT | Gran Variedad |
-| **Despliegue Local** | Soportado | No Soportado | No Aplicable |
 
-## Características
 
-![](./images/models.png)
+**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, Llama3 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).
 
-**1. Soporte LLM**: Integración con la familia de modelos GPT de OpenAI, o los modelos de la familia Llama2 de código abierto. De hecho, Dify soporta modelos comerciales convencionales y modelos de código abierto (desplegados localmente o basados en MaaS).
+![proveedores-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
-**2. IDE de Prompts**: Orquestación visual de aplicaciones y servicios basados en LLMs con tu equipo.
 
-**3. Motor RAG**: Incluye varias capacidades RAG basadas en indexación de texto completo o incrustaciones de base de datos vectoriales, permitiendo la carga directa de PDFs, TXTs y otros formatos de texto.
+**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. Agentes**: Un marco de Agentes basado en Llamadas de Función que permite a los usuarios configurar lo que ven es lo que obtienen. Dify incluye capacidades básicas de plugins como la Búsqueda de Google.
+**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. Operaciones Continuas**: Monitorear y analizar registros de aplicaciones y rendimiento, mejorando continuamente Prompts, conjuntos de datos o modelos usando datos de producción.
+**5. Capacidades de agente**: 
+  Puedes definir agent
 
-## Antes de Empezar
+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.
 
-- [Sitio web](https://dify.ai)
-- [Documentación](https://docs.dify.ai)
-- [Documentación de Implementación](https://docs.dify.ai/getting-started/install-self-hosted)
-- [Preguntas Frecuentes](https://docs.dify.ai/getting-started/faq)
+**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.
 
-## Instalar la Edición Comunitaria
+**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.
 
-### Requisitos del Sistema
 
-Antes de instalar Dify, asegúrate de que tu máquina cumpla con los siguientes requisitos mínimos del sistema:
+## 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>
 
-- CPU >= 2 núcleos
-- RAM >= 4GB
+## Usando Dify
 
-### Inicio Rápido
+- **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.
 
-La forma más sencilla 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:
+- **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 instalación de inicialización.
+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.
 
-### Gráfico Helm
+> 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)
 
-Un gran agradecimiento a @BorisPolonsky por proporcionarnos una versión del [Gráfico Helm](https://helm.sh/), que permite implementar Dify en Kubernetes. Puedes visitar https://github.com/BorisPolonsky/dify-helm para obtener información sobre la implementación.
+## Próximos pasos
 
-### Configuración
+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
 
-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 nuevamente `docker-compose up -d`. Puedes ver la lista completa de variables de entorno en nuestra [documentación](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+. 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)
 
-## Comunidad y Soporte
-
-Te damos la bienvenida a contribuir a Dify para ayudar a hacer que Dify sea mejor de diversas maneras, enviando código, informando problemas, proponiendo nuevas ideas o compartiendo las aplicaciones de inteligencia artificial interesantes y útiles que hayas creado basadas en Dify. Al mismo tiempo, también te invitamos a compartir Dify en diferentes eventos, conferencias y redes sociales.
-
-- [Problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores y problemas que encuentres al usar Dify.AI, consulta la [Guía de Contribución](CONTRIBUTING.md).
-- [Soporte por Correo Electrónico](mailto:hello@dify.ai?subject=[GitHub]Preguntas%20sobre%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 socializar con la comunidad.
-- [Twitter](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y socializar con la comunidad.
-- [Licencia Comercial](mailto:business@dify.ai?subject=[GitHub]Consulta%20de%20Licencia%20Comercial). Lo mejor para: consultas comerciales sobre la licencia de Dify.AI para uso comercial.
 
 ## Divulgación de Seguridad
 
@@ -109,4 +248,4 @@ Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En
 
 ## Licencia
 
-Este repositorio está disponible bajo la [Licencia de código abierto de Dify](LICENSE).
+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 +1,251 @@
+![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>
+  <a href="./README_KR.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/한국어-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, Llama3, 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

@@ -1,103 +1,246 @@
-[![](./images/describe.png)](https://dify.ai)
+![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="./README_ES.md">Español</a> |
-  <a href="./README_KL.md">Klingon</a>
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">セルフホスト</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>
 
 <p align="center">
     <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
+        <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"
-            alt="chat on Discord"></a>
+        <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?style=social&logo=X"
-            alt="follow on Twitter"></a>
+        <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"></a>
+        <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>
 
-"Difyは、既にDify.AI上で10万以上のアプリケーションが構築されているLLMアプリケーション開発プラットフォームです。バックエンド・アズ・ア・サービスとLLMOpsの概念を統合し、組み込みのRAGエンジンを含む、生成AIネイティブアプリケーションを構築するためのコアテックスタックをカバーしています。Difyを使用すると、どのLLMに基づいても、Assistants APIやGPTのような機能を自己デプロイすることができます。"
+<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>
+  <a href="./README_KR.md"><img alt="先月のコミット" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+</p>
 
-Please note that translating complex technical terms can sometimes result in slight variations in meaning due to differences in language nuances.
+#
 
-## クラウドサービスの利用
+<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.AI Cloud](https://dify.ai) を使用すると、オープンソース版の全機能を利用でき、さらに200GPTのトライアルクレジットが無料で提供されます。
+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>
 
-## Difyの利点
-
-Difyはモデルニュートラルであり、LangChainのようなハードコードされた開発ライブラリと比較して、完全にエンジニアリングされた技術スタックを特徴としています。OpenAIのAssistants APIとは異なり、Difyではサービスの完全なローカルデプロイメントが可能です。
-
-| 機能 | Dify.AI | Assistants API | LangChain |
-|---------|---------|----------------|-----------|
-| **プログラミングアプローチ** | API指向 | API指向 | Pythonコード指向 |
-| **エコシステム戦略** | オープンソース | 閉鎖的かつ商業的 | オープンソース |
-| **RAGエンジン** | サポート済み | サポート済み | 非サポート |
-| **プロンプトIDE** | 含まれる | 含まれる | なし |
-| **サポートされるLLMs** | 豊富な種類 | GPTのみ | 豊富な種類 |
-| **ローカルデプロイメント** | サポート済み | 非サポート | 該当なし |
+**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。
 
 
-## 開始する前に
-
-- [Website](https://dify.ai)
-- [Docs](https://docs.dify.ai)
-- [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
-- [FAQ](https://docs.dify.ai/getting-started/faq) 
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
 
-## コミュニティエディションのインストール
 
-### システム要件
+**2. 包括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、Llama3、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.dify.ai/getting-started/readme/model-providers)をご覧ください。
 
-Difyをインストールする前に、以下の最低限のシステム要件を満たしていることを確認してください：
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
-- CPU >= 2コア
-- RAM >= 4GB
 
-### クイックスタート
+**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サーバーを始め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、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：
+**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。
+
+**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。
+
+**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。
+
+**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">バリエーション豊富</td>
+    <td align="center">バリエーション豊富</td>
+    <td align="center">バリエーション豊富</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、セットアップ不要で試すことができます。サンドボックスプランには、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、ローカル環境でDifyを簡単に実行できます。
+さらなる参考資料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。
+
+
+## 最新の情報を入手
+
+GitHub上でDifyにスターを付けることで、Difyに関する新しいニュースを受け取れます。
+
+![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、お使いの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、[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
 ```
 
-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プロセスを開始できます。
+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。
 
-### Helm Chart
+> 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。
 
-@BorisPolonskyによる[Helm Chart](https://helm.sh/) バージョンを提供してくれて、大変感謝しています。これにより、DifyはKubernetes上にデプロイすることができます。
-デプロイ情報については、https://github.com/BorisPolonsky/dify-helm をご覧ください。
+## 次のステップ
 
-### 設定
+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。
 
-設定をカスタマイズする必要がある場合は、[docker-compose.yml](docker/docker-compose.yaml) ファイルのコメントを参照し、環境設定を手動で行ってください。変更を行った後は、もう一度 `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、[ドキュメント](https://docs.dify.ai/getting-started/install-self-hosted/environments)で確認できます。
+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。
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 
 
-## スターヒストリー
+## 貢献
 
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+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。
 
-## コミュニティとサポート
 
-Difyに貢献していただき、コードの提出、問題の報告、新しいアイデアの提供、またはDifyを基に作成した興味深く有用なAIアプリケーションの共有により、Difyをより良いものにするお手伝いを歓迎します。同時に、さまざまなイベント、会議、ソーシャルメディアでDifyを共有することも歓迎します。
+> 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。
 
-- [GitHub Issues](https://github.com/langgenius/dify/issues)。最適な使用法：Dify.AIの使用中に遭遇するバグやエラー、[貢献ガイド](CONTRIBUTING.md)を参照。
-- [Email サポート](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。最適な使用法：Dify.AIの使用に関する質問。
-- [Discord](https://discord.gg/FngNHpbcY7)。最適な使用法：アプリケーションの共有とコミュニティとの交流。
-- [Twitter](https://twitter.com/dify_ai)。最適な使用法：アプリケーションの共有とコミュニティとの交流。
-- [ビジネスライセンス](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。最適な使用法：Dify.AIを商業利用するためのビジネス関連の問い合わせ。
+**貢献者**
 
-## セキュリティ
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## コミュニティ & お問い合わせ
+
+* [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。
+
+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：
+
+<table>
+  <tr>
+    <th>連絡先</th>
+    <th>目的</th>
+  </tr>
+  <tr>
+    <td><a href='https://cal.com
+
+/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</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>
 
-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。
 
 ## 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。
+このリポジトリは、Dify Open Source License にいくつかの追加制限を加えた[Difyオープンソースライセンス](LICENSE)の下で利用可能です。

README_KL.md

@@ -1,114 +1,251 @@
-[![](./images/describe.png)](https://dify.ai)
+![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="./README_ES.md">Español</a> |
-  <a href="./README_KL.md">Klingon</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/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/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
+        <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"
+        <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?style=social&logo=X"
+        <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"></a>
+        <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>
 
-**Dify** Hoch LLM qorwI' pIqoDvam pagh laHta' je **100,000** pIqoDvamvam Dify.AI De'wI'. Dify leghpu' Backend chu' a Service teH LLMOps vItlhutlh, generative AI-native pIqoD teq wa'vam, vIyoD Built-in RAG engine. Dify, **'ej chenmoHmoH Hoch 'oHna' Assistant API 'ej GPTmey HoStaHbogh LLMmey.**
+<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>
+  <a href="./README_KR.md"><img alt="Commits last month" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+</p>
 
-![](./images/demo.png)
+#
 
-## ngIl QaQ
+<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>
 
-[Dify.AI ngIl](https://dify.ai) pIm neHlaH 'ej ghaH. cha'logh wa' DIvI' 200 GPT trial credits.
+**1. Workflow**: 
+  Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
 
-## Dify WovmoH
 
-Dify Daq rIn neutrality 'ej Hoch, LangChain tInHar HubwI'. maH Daqbe'law' Qawqar, OpenAI's Assistant API Daq local neH deployment.
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-| Qo'logh | Dify.AI | Assistants API | LangChain |
-|---------|---------|----------------|-----------|
-| **qet QaS** | API-oriented | API-oriented | Python Code-oriented |
-| **Ecosystem Strategy** | Open Source | Closed and Commercial | Open Source |
-| **RAG Engine** | Ha'qu' | Ha'qu' | ghoS Ha'qu' |
-| **Prompt IDE** | jaH Include | jaH Include | qeylIS qaq |
-| **qet LLMmey** | bo'Degh Hoch | GPTmey tIn | bo'Degh Hoch |
-| **local deployment** | Ha'qu' | tInHa'qu' | tInHa'qu' ghogh |
 
-## ruch
 
-![](./images/models.png)
+**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, Llama3, 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).
 
-**1. LLM tIq**: OpenAI's GPT Hur nISmoHvam neH vIngeH, wa' Llama2 Hur nISmoHvam. Heghlu'lu'pu' Dify mIw 'oH choH qay'be'.Daq commercial Hurmey 'ej Open Source Hurmey (maqtaHvIS pagh locally neH neH deployment HoSvam).
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
-**2. Prompt IDE**: cha'logh wa' LLMmey Hoch janlu'pu' 'ej lughpu' choH qay'be'.
 
-**3. RAG Engine**: RAG vaD tIqpu' lo'taH indexing qor neH vector database wa' embeddings wIj, PDFs, TXTs, 'ej ghojmoHmoH HIq qorlIj je upload.
+**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. jenSuvpu'**: jenbe' SuDqang naQ moDwu' jenSuvpu' porgh cha'logh choHvam. Dify Google Search Hur vItlhutlh plugin choH.
+**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. QaS muDHa'wI': cha'logh wa' pIq mI' logs 'ej quv yIn, vItlhutlh tIq 'e'wIj lo'taHmoHmoH Prompts, vItlhutlh, Hurmey ghaH production data jatlh.
+**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.
 
-## Do'wI' qabmey lo'taH
+**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.
 
-- [Website](https://dify.ai)
-- [Docs](https://docs.dify.ai)
-- [lo'taHmoH Docs](https://docs.dify.ai/getting-started/install-self-hosted)
-- [FAQ](https://docs.dify.ai/getting-started/faq) 
+**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.
 
-## Community Edition tu' yo'
 
-### System Qab
+## Feature Comparison
+<table style="width: 100%;">
+  <tr
 
-Dify yo' yo' qaqmeH SuS chenmoH 'oH qech!
+>
+    <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>
 
-- CPU >= 2 Cores
-- RAM >= 4GB
+## Using Dify
 
-### Quick Start
+- **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.
 
-Dify server luHoHtaHlu' vIngeH lo'laHbe'chugh vIyoD [docker-compose.yml](docker/docker-compose.yaml) QorwI'ghach. toH yItlhutlh chenmoH luH!chugh 'ay' vaj vIneHmeH, 'ej [Docker](https://docs.docker.com/get-docker/) 'ej [Docker Compose](https://docs.docker.com/compose/install/) vaj 'oH 'e' vIneHmeH:
+- **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
 ```
 
-luHoHtaHmeH HoHtaHvIS, Dify dashboard vIneHmeH vIngeH lI'wI' [http://localhost/install](http://localhost/install) 'ej 'oH initialization 'e' vIneHmeH.
+After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
 
-### Helm Chart
+> 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)
 
-@BorisPolonsky Dify wIq tIq ['ay'var (Helm Chart)](https://helm.sh/) version Hur yIn chu' Dify luHoHchu'. Heghlu'lu' vIneHmeH [https://github.com/BorisPolonsky/dify-helm](https://github.com/BorisPolonsky/dify-helm) 'ej vaj QaS deployment information.
+## Next steps
 
-### veS config
+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).
 
-chenmoHDI' config lo'taH ghaH, vItlhutlh HIq wIgharghbe'lu'pu'. toH lo'taHvIS pagh vay' vIneHmeH, 'ej `docker-compose up -d` wa'DIch. tIqmoHmeH list full wa' lo'taHvo'lu'pu' ghaH [docs](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.
 
-## tIng qem
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
 
-[![tIng qem Hur Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-## choHmoH 'ej vItlhutlh
+## Contributing
 
-Dify choHmoH je mIw Dify puqloD, Dify ghaHta'bogh vItlhutlh, HurDI' code, ghItlh, ghItlh qo'lu'pu'pu' qej. tIqmeH, Hurmey je, Dify Hur tIqDI' woDDaj, DuD QangmeH 'ej HInobDaq vItlhutlh HImej Dify'e'.
+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.
 
-- [GitHub vItlhutlh](https://github.com/langgenius/dify/issues). Hurmey: bugs 'ej errors Dify.AI tIqmeH. yImej [Contribution Guide](CONTRIBUTING.md).
-- [Email QaH](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Hurmey: questions vItlhutlh Dify.AI chaw'.
-- [Discord](https://discord.gg/FngNHpbcY7). Hurmey: jIpuv 'ej jImej mIw Dify vItlhutlh.
-- [Twitter](https://twitter.com/dify_ai). Hurmey: jIpuv 'ej jImej mIw Dify vItlhutlh.
-- [Business License](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Hurmey: qurgh vItlhutlh Hurmey Dify.AI tIqbe'law'.
 
-## bIQDaqmey bom
+> 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).
 
-taghlI' vIngeH'a'? pong security 'oH posting GitHub. yItlhutlh, toH security@dify.ai 'ej vIngeH'a'.
+**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
 
-ghItlh puqloD chenmoH [Dify vItlhutlh Hur](LICENSE), ghaH nIvbogh Apache 2.0.
-
+This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.

README_KR.md

@@ -0,0 +1,243 @@
+![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 클라우드</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">셀프-호스팅</a> ·
+  <a href="https://docs.dify.ai">문서</a> ·
+  <a href="https://cal.com/guchenhe/60-min-meeting">기업 문의</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="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="한국어 README" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+
+</p>
+
+
+   Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페이스를 통해 AI 워크플로우, RAG 파이프라인, 에이전트 기능, 모델 관리, 관찰 기능 등을 결합하여 프로토타입에서 프로덕션까지 빠르게 전환할 수 있습니다. 주요 기능 목록은 다음과 같습니다:</br> </br>
+
+**1. 워크플로우**:
+    다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. 포괄적인 모델 지원:**: 
+
+수십 개의 추론 제공업체와 자체 호스팅 솔루션에서 제공하는 수백 개의 독점 및 오픈 소스 LLM과 원활하게 통합되며, GPT, Mistral, Llama3 및 모든 OpenAI API 호환 모델을 포함합니다. 지원되는 모델 제공업체의 전체 목록은 [여기](https://docs.dify.ai/getting-started/readme/model-providers)에서 확인할 수 있습니다.
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. 통합 개발환경**:
+  프롬프트를 작성하고, 모델 성능을 비교하며, 텍스트-음성 변환과 같은 추가 기능을 채팅 기반 앱에 추가할 수 있는 직관적인 인터페이스를 제공합니다.
+
+**4. RAG 파이프라인**: 
+  문서 수집부터 검색까지 모든 것을 다루며, PDF, PPT 및 기타 일반적인 문서 형식에서 텍스트 추출을 위한 기본 지원이 포함되어 있는 광범위한 RAG 기능을 제공합니다.
+
+**5. 에이전트 기능**:
+  LLM 함수 호출 또는 ReAct를 기반으로 에이전트를 정의하고 에이전트에 대해 사전 구축된 도구나 사용자 정의 도구를 추가할 수 있습니다. Dify는 Google Search, DELL·E, Stable Diffusion, WolframAlpha 등 AI 에이전트를 위한 50개 이상의 내장 도구를 제공합니다.
+
+**6. LLMOps**:
+  시간 경과에 따른 애플리케이션 로그와 성능을 모니터링하고 분석합니다. 생산 데이터와 주석을 기반으로 프롬프트, 데이터세트, 모델을 지속적으로 개선할 수 있습니다.
+
+**7. Backend-as-a-Service**:
+  Dify의 모든 제품에는 해당 API가 함께 제공되므로 Dify를 자신의 비즈니스 로직에 쉽게 통합할 수 있습니다.
+
+## 기능 비교
+<table style="width: 100%;">
+  <tr>
+    <th align="center">기능</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">프로그래밍 접근 방식</td>
+    <td align="center">API + 앱 중심</td>
+    <td align="center">Python 코드</td>
+    <td align="center">앱 중심</td>
+    <td align="center">API 중심</td>
+  </tr>
+  <tr>
+    <td align="center">지원되는 LLMs</td>
+    <td align="center">다양한 종류</td>
+    <td align="center">다양한 종류</td>
+    <td align="center">다양한 종류</td>
+    <td align="center">OpenAI 전용</td>
+  </tr>
+  <tr>
+    <td align="center">RAG 엔진</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">에이전트</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">워크플로우</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">가시성</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">기업용 기능 (SSO/접근 제어)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">로컬 배포</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Dify 사용하기
+
+- **클라우드 </br>**
+  우리는 누구나 설정이 필요 없이 사용해 볼 수 있도록 [Dify 클라우드](https://dify.ai) 서비스를 호스팅합니다. 이는 자체 배포 버전의 모든 기능을 제공하며, 샌드박스 플랜에서 무료로 200회의 GPT-4 호출을 포함합니다.
+
+- **셀프-호스팅 Dify 커뮤니티 에디션</br>**
+  환경에서 Dify를 빠르게 실행하려면 이  [스타터 가이드를](#quick-start) 참조하세요.
+  추가 참조 및 더 심층적인 지침은 [문서](https://docs.dify.ai)를 사용하세요.
+
+- **기업 / 조직을 위한 Dify</br>**
+  우리는 추가적인 기업 중심 기능을 제공합니다. 당사와 [미팅일정](https://cal.com/guchenhe/30min)을 잡거나  [이메일 보내기](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)를 통해 기업 요구 사항을 논의하십시오. </br>
+  > AWS를 사용하는 스타트업 및 중소기업의 경우 [AWS Marketplace에서 Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)을 확인하고 한 번의 클릭으로 자체 AWS VPC에 배포하십시오. 맞춤형 로고와 브랜딩이 포함된 앱을 생성할 수 있는 옵션이 포함된 저렴한 AMI 제품입니다.
+
+
+
+## 앞서가기
+
+GitHub에서 Dify에 별표를 찍어 새로운 릴리스를 즉시 알림 받으세요.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+
+## 빠른 시작
+>Dify를 설치하기 전에 컴퓨터가 다음과 같은 최소 시스템 요구 사항을 충족하는지 확인하세요 : 
+>- CPU >= 2 Core
+>- RAM >= 4GB
+
+</br>
+
+Dify 서버를 시작하는 가장 쉬운 방법은 [docker-compose.yml](docker/docker-compose.yaml) 파일을 실행하는 것입니다. 설치 명령을 실행하기 전에 [Docker](https://docs.docker.com/get-docker/) 및 [Docker Compose](https://docs.docker.com/compose/install/)가 머신에 설치되어 있는지 확인하세요.
+
+```bash
+cd docker
+docker compose up -d
+```
+
+실행 후 브라우저의 [http://localhost/install](http://localhost/install) 에서 Dify 대시보드에 액세스하고 초기화 프로세스를 시작할 수 있습니다.
+
+> Dify에 기여하거나 추가 개발을 하고 싶다면 소스 코드에서 [배포에 대한 가이드](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)를 참조하세요.
+
+## 다음 단계
+
+구성 커스터마이징이 필요한 경우, [docker-compose.yml](docker/docker-compose.yaml) 파일의 코멘트를 참조하여 환경 구성을 수동으로 설정하십시오. 변경 후 `docker-compose up -d` 를 다시 실행하십시오. 환경 변수의 전체 목록은 [여기](https://docs.dify.ai/getting-started/install-self-hosted/environments)에서 확인할 수 있습니다.
+
+
+고가용성 설정을 구성하려면 Dify를 Kubernetes에 배포할 수 있는 커뮤니티 제공 [Helm Charts](https://helm.sh/)가 있습니다.
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+
+
+## 기여
+
+코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
+동시에 Dify를 소셜 미디어와 행사 및 컨퍼런스에 공유하여 지원하는 것을 고려해 주시기 바랍니다.
+
+
+> 우리는 Dify를 중국어나 영어 이외의 언어로 번역하는 데 도움을 줄 수 있는 기여자를 찾고 있습니다. 도움을 주고 싶으시다면 [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)에서 더 많은 정보를 확인하시고 [Discord 커뮤니티 서버](https://discord.gg/8Tpq4AcN9c)의 `global-users` 채널에 댓글을 남겨주세요. 
+
+**기여자**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## 커뮤니티 & 연락처
+
+* [Github 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다.
+* [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요. 
+* [이메일](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Dify.AI 사용에 대한 질문하기에 적합합니다.
+* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
+* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
+
+또는 팀원과 직접 미팅을 예약하세요:
+
+<table>
+  <tr>
+    <th>연락처</th>
+    <th>목적</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>비즈니스 문의 및 제품 피드백</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>기여, 이슈 및 기능 요청</td>
+  </tr>
+</table>
+
+## Star 히스토리
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## 보안 공개
+
+개인정보 보호를 위해 보안 문제를 GitHub에 게시하지 마십시오. 대신 security@dify.ai로 질문을 보내주시면 더 자세한 답변을 드리겠습니다.
+
+## 라이선스
+
+이 저장소는 기본적으로 몇 가지 추가 제한 사항이 있는 Apache 2.0인 [Dify 오픈 소스 라이선스](LICENSE)에 따라 사용할 수 있습니다.

api/.env.example

@@ -1,6 +1,3 @@
-# Server Edition
-EDITION=SELF_HOSTED
-
 # 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.
 # You can generate a strong key using `openssl rand -base64 42`.
@@ -15,12 +12,14 @@ CONSOLE_WEB_URL=http://127.0.0.1:3000
 SERVICE_API_URL=http://127.0.0.1:5001
 
 # Web APP base URL
-APP_API_URL=http://127.0.0.1:5001
 APP_WEB_URL=http://127.0.0.1:3000
 
 # Files URL
 FILES_URL=http://127.0.0.1:5001
 
+# The time in seconds after the signature is rejected
+FILES_ACCESS_TIMEOUT=300
+
 # celery configuration
 CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
 
@@ -40,7 +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
@@ -48,12 +47,28 @@ 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
+# Aliyun oss Storage configuration
+ALIYUN_OSS_BUCKET_NAME=your-bucket-name
+ALIYUN_OSS_ACCESS_KEY=your-access-key
+ALIYUN_OSS_SECRET_KEY=your-secret-key
+ALIYUN_OSS_ENDPOINT=your-endpoint
+ALIYUN_OSS_AUTH_VERSION=v1
+ALIYUN_OSS_REGION=your-region
+
+# Google Storage configuration
+GOOGLE_STORAGE_BUCKET_NAME=yout-bucket-name
+GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON=your-google-service-account-json-base64-string
 
 # CORS configuration
 WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 
-# Vector database configuration, support: weaviate, qdrant, milvus
+# Vector database configuration, support: weaviate, qdrant, milvus, relyt, pgvecto_rs, pgvector
 VECTOR_STORE=weaviate
 
 # Weaviate configuration
@@ -65,6 +80,9 @@ WEAVIATE_BATCH_SIZE=100
 # 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
+QDRANT_GRPC_ENABLED=false
+QDRANT_GRPC_PORT=6334
 
 # Milvus configuration
 MILVUS_HOST=127.0.0.1
@@ -73,6 +91,42 @@ 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
+
+# PGVECTO_RS configuration
+PGVECTO_RS_HOST=localhost
+PGVECTO_RS_PORT=5431
+PGVECTO_RS_USER=postgres
+PGVECTO_RS_PASSWORD=difyai123456
+PGVECTO_RS_DATABASE=postgres
+
+# PGVector configuration
+PGVECTOR_HOST=127.0.0.1
+PGVECTOR_PORT=5433
+PGVECTOR_USER=postgres
+PGVECTOR_PASSWORD=postgres
+PGVECTOR_DATABASE=postgres
+
+# Tidb Vector configuration
+TIDB_VECTOR_HOST=xxx.eu-central-1.xxx.aws.tidbcloud.com
+TIDB_VECTOR_PORT=4000
+TIDB_VECTOR_USER=xxx.root
+TIDB_VECTOR_PASSWORD=xxxxxx
+TIDB_VECTOR_DATABASE=dify
+
+# Chroma configuration
+CHROMA_HOST=127.0.0.1
+CHROMA_PORT=8000
+CHROMA_TENANT=default_tenant
+CHROMA_DATABASE=default_database
+CHROMA_AUTH_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider
+CHROMA_AUTH_CREDENTIALS=difyai123456
+
 # Upload configuration
 UPLOAD_FILE_SIZE_LIMIT=15
 UPLOAD_FILE_BATCH_LIMIT=5
@@ -81,10 +135,18 @@ UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
 # Model Configuration
 MULTIMODAL_SEND_IMAGE_FORMAT=base64
 
-# Mail configuration, support: resend
+# Mail configuration, support: resend, smtp
 MAIL_TYPE=
 MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
 RESEND_API_KEY=
+RESEND_API_URL=https://api.resend.com
+# smtp configuration
+SMTP_SERVER=smtp.gmail.com
+SMTP_PORT=465
+SMTP_USERNAME=123
+SMTP_PASSWORD=abc
+SMTP_USE_TLS=true
+SMTP_OPPORTUNISTIC_TLS=false
 
 # Sentry configuration
 SENTRY_DSN=
@@ -99,30 +161,45 @@ NOTION_CLIENT_SECRET=you-client-secret
 NOTION_CLIENT_ID=you-client-id
 NOTION_INTERNAL_SECRET=you-internal-secret
 
-# Hosted Model Credentials
-HOSTED_OPENAI_ENABLED=false
-HOSTED_OPENAI_API_KEY=
-HOSTED_OPENAI_API_BASE=
-HOSTED_OPENAI_API_ORGANIZATION=
-HOSTED_OPENAI_QUOTA_LIMIT=200
-HOSTED_OPENAI_PAID_ENABLED=false
-HOSTED_OPENAI_PAID_STRIPE_PRICE_ID=
-HOSTED_OPENAI_PAID_INCREASE_QUOTA=1
+ETL_TYPE=dify
+UNSTRUCTURED_API_URL=
+UNSTRUCTURED_API_KEY=
 
-HOSTED_AZURE_OPENAI_ENABLED=false
-HOSTED_AZURE_OPENAI_API_KEY=
-HOSTED_AZURE_OPENAI_API_BASE=
-HOSTED_AZURE_OPENAI_QUOTA_LIMIT=200
+SSRF_PROXY_HTTP_URL=
+SSRF_PROXY_HTTPS_URL=
 
-HOSTED_ANTHROPIC_ENABLED=false
-HOSTED_ANTHROPIC_API_BASE=
-HOSTED_ANTHROPIC_API_KEY=
-HOSTED_ANTHROPIC_QUOTA_LIMIT=600000
-HOSTED_ANTHROPIC_PAID_ENABLED=false
-HOSTED_ANTHROPIC_PAID_STRIPE_PRICE_ID=
-HOSTED_ANTHROPIC_PAID_INCREASE_QUOTA=1000000
-HOSTED_ANTHROPIC_PAID_MIN_QUANTITY=20
-HOSTED_ANTHROPIC_PAID_MAX_QUANTITY=100
+BATCH_UPLOAD_LIMIT=10
+KEYWORD_DATA_SOURCE_TYPE=database
 
-STRIPE_API_KEY=
-STRIPE_WEBHOOK_SECRET=
+# 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
+
+# HTTP Node configuration
+HTTP_REQUEST_MAX_CONNECT_TIMEOUT=300
+HTTP_REQUEST_MAX_READ_TIMEOUT=600
+HTTP_REQUEST_MAX_WRITE_TIMEOUT=600
+HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760 # 10MB
+HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576 # 1MB
+
+# Log file path
+LOG_FILE=
+
+# Indexing configuration
+INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
+
+# Workflow runtime configuration
+WORKFLOW_MAX_EXECUTION_STEPS=500
+WORKFLOW_MAX_EXECUTION_TIME=1200
+WORKFLOW_CALL_MAX_DEPTH=5

api/.vscode/launch.json

@@ -4,9 +4,25 @@
     // 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": "${workspaceFolder}/.env",
+            "env": {
+                "FLASK_APP": "app.py",
+                "FLASK_DEBUG": "1",
+                "GEVENT_SUPPORT": "True"
+            },
+            "console": "integratedTerminal",
+            "python": "${command:python.interpreterPath}"
+        },
         {
             "name": "Python: Flask",
-            "type": "python",
+            "type": "debugpy",
             "request": "launch",
             "module": "flask",
             "env": {
@@ -21,7 +37,8 @@
                 "--debug"
             ],
             "jinja": true,
-            "justMyCode": true
+            "justMyCode": true,
+            "python": "${command:python.interpreterPath}"
         }
     ]
 }

api/Dockerfile

@@ -1,17 +1,21 @@
-# packages install stage
-FROM python:3.10-slim AS base
+# 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++ python3-dev libc-dev libffi-dev
+    && 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 pip install --prefix=/pkg -r requirements.txt
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install --prefix=/pkg -r requirements.txt
 
-# build stage
-FROM python:3.10-slim AS builder
+# production stage
+FROM base AS production
 
 ENV FLASK_APP app.py
 ENV EDITION SELF_HOSTED
@@ -19,24 +23,23 @@ ENV DEPLOY_ENV PRODUCTION
 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_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
 
 RUN apt-get update \
-    && apt-get install -y --no-install-recommends bash curl wget vim nodejs \
+    && 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=base /pkg /usr/local
+COPY --from=packages /pkg /usr/local
 COPY . /app/api/
 
-RUN python -c "from transformers import GPT2TokenizerFast; GPT2TokenizerFast.from_pretrained('gpt2')"
-ENV TRANSFORMERS_OFFLINE true
-
 COPY docker/entrypoint.sh /entrypoint.sh
 RUN chmod +x /entrypoint.sh
 

api/README.md

@@ -5,7 +5,7 @@
 1. Start the docker-compose stack
 
    The backend require some middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using `docker-compose`.
-   
+
    ```bash
    cd ../docker
    docker-compose -f docker-compose.middleware.yaml -p dify up -d
@@ -15,18 +15,33 @@
 3. Generate a `SECRET_KEY` in the `.env` file.
 
    ```bash
-   openssl rand -base64 42
+   sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
    ```
-3.5 If you use annaconda, create a new environment and activate it
+4. Create environment.
+   - Anaconda  
+   If you use Anaconda, create a new environment and activate it
    ```bash
    conda create --name dify python=3.10
    conda activate dify
    ```
-4. Install dependencies
+   - Poetry  
+   If you use Poetry, you don't need to manually create the environment. You can execute `poetry shell` to activate the environment.
+5. Install dependencies
+   - Anaconda  
    ```bash
    pip install -r requirements.txt
    ```
-5. Run migrate
+   - Poetry  
+   ```bash
+   poetry install
+   ```
+   In case of contributors missing to update dependencies for `pyproject.toml`, you can perform the following shell instead.
+   ```base
+   poetry shell                                               # activate current environment
+   poetry add $(cat requirements.txt)           # install dependencies of production and update pyproject.toml
+   poetry add $(cat requirements-dev.txt) --group dev    # install dependencies of development and update pyproject.toml
+   ```
+6. Run migrate
 
    Before the first launch, migrate the database to the latest version.
 
@@ -46,19 +61,25 @@
    ```
    pip install -r requirements.txt --upgrade --force-reinstall
    ```
-   
-6. Start backend:
+
+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 -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail`, 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.
 
-8. Start frontend
 
-   You can start the frontend by running `npm install && npm run dev` in web/ folder, or you can use docker to start the frontend, for example:
+## Testing
 
+1. Install dependencies for both the backend and the test environment
+   ```bash
+   pip install -r requirements.txt -r requirements-dev.txt
+   ``` 
+   
+2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
+   ```bash
+   dev/pytest/pytest_all_tests.sh
    ```
-   docker run -it -d --platform linux/amd64 -p 3000:3000 -e EDITION=SELF_HOSTED -e CONSOLE_URL=http://127.0.0.1:5001 --name web-self-hosted langgenius/dify-web:latest
-   ```
-   This will start a dify frontend, now you are all set, happy coding!

api/app.py

@@ -1,45 +1,58 @@
-# -*- coding:utf-8 -*-
 import os
 
-from werkzeug.exceptions import Unauthorized
-
 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 time
-import logging
+    import grpc.experimental.gevent
+
+    grpc.experimental.gevent.init_gevent()
+
 import json
+import logging
+import sys
 import threading
+import time
+import warnings
+from logging.handlers import RotatingFileHandler
 
-from flask import Flask, request, Response
+from flask import Flask, Response, request
 from flask_cors import CORS
+from werkzeug.exceptions import Unauthorized
 
-from core.model_providers.providers import hosted
-from extensions import ext_celery, ext_sentry, ext_redis, ext_login, ext_migrate, \
-    ext_database, ext_storage, ext_mail, ext_stripe, ext_code_based_extension
-from extensions.ext_database import db
-from extensions.ext_login import login_manager
+from commands import register_commands
+from config import Config
 
 # DO NOT REMOVE BELOW
-from models import model, account, dataset, web, task, source, tool
 from events import event_handlers
+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 models import account, dataset, model, source, task, tool, tools, web
+from services.account_service import AccountService
+
 # DO NOT REMOVE ABOVE
 
-from config import Config, CloudEditionConfig
-from commands import register_commands
-from services.account_service import AccountService
-from libs.passport import PassportService
 
-import warnings
 warnings.simplefilter("ignore", ResourceWarning)
 
 # fix windows platform
 if os.name == "nt":
-    os.system('tzutil /s "UTC"')    
+    os.system('tzutil /s "UTC"')
 else:
     os.environ['TZ'] = 'UTC'
     time.tzset()
@@ -48,6 +61,7 @@ else:
 class DifyApp(Flask):
     pass
 
+
 # -------------
 # Configuration
 # -------------
@@ -55,38 +69,50 @@ class DifyApp(Flask):
 
 config_type = os.getenv('EDITION', default='SELF_HOSTED')  # ce edition first
 
+
 # ----------------------------
 # Application Factory Function
 # ----------------------------
 
 
-def create_app(test_config=None) -> Flask:
+def create_app() -> Flask:
     app = DifyApp(__name__)
-
-    if test_config:
-        app.config.from_object(test_config)
-    else:
-        if config_type == "CLOUD":
-            app.config.from_object(CloudEditionConfig())
-        else:
-            app.config.from_object(Config())
+    app.config.from_object(Config())
 
     app.secret_key = app.config['SECRET_KEY']
 
-    logging.basicConfig(level=app.config.get('LOG_LEVEL', 'INFO'))
+    log_handlers = None
+    log_file = app.config.get('LOG_FILE')
+    if log_file:
+        log_dir = os.path.dirname(log_file)
+        os.makedirs(log_dir, exist_ok=True)
+        log_handlers = [
+            RotatingFileHandler(
+                filename=log_file,
+                maxBytes=1024 * 1024 * 1024,
+                backupCount=5
+            ),
+            logging.StreamHandler(sys.stdout)
+        ]
+
+    logging.basicConfig(
+        level=app.config.get('LOG_LEVEL'),
+        format=app.config.get('LOG_FORMAT'),
+        datefmt=app.config.get('LOG_DATEFORMAT'),
+        handlers=log_handlers
+    )
 
     initialize_extensions(app)
     register_blueprints(app)
     register_commands(app)
 
-    hosted.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)
@@ -95,24 +121,29 @@ def initialize_extensions(app):
     ext_celery.init_app(app)
     ext_login.init_app(app)
     ext_mail.init_app(app)
+    ext_hosting_provider.init_app(app)
     ext_sentry.init_app(app)
-    ext_stripe.init_app(app)
 
 
 # Flask-Login configuration
 @login_manager.request_loader
 def load_user_from_request(request_from_flask_login):
     """Load user based on the request."""
-    if request.blueprint == 'console':
+    if request.blueprint in ['console', 'inner_api']:
         # Check if the user_id contains a dot, indicating the old format
         auth_header = request.headers.get('Authorization', '')
-        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.')
-        
+        if not auth_header:
+            auth_token = request.args.get('_token')
+            if not auth_token:
+                raise Unauthorized('Invalid Authorization token.')
+        else:
+            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.')
+
         decoded = PassportService().verify(auth_token)
         user_id = decoded.get('user_id')
 
@@ -120,6 +151,7 @@ def load_user_from_request(request_from_flask_login):
     else:
         return None
 
+
 @login_manager.unauthorized_handler
 def unauthorized_handler():
     """Handle unauthorized requests."""
@@ -131,10 +163,11 @@ def unauthorized_handler():
 
 # register blueprint routers
 def register_blueprints(app):
-    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
     from controllers.files import bp as files_bp
+    from controllers.inner_api import bp as inner_api_bp
+    from controllers.service_api import bp as service_api_bp
+    from controllers.web import bp as web_bp
 
     CORS(service_api_bp,
          allow_headers=['Content-Type', 'Authorization', 'X-App-Code'],
@@ -170,12 +203,13 @@ def register_blueprints(app):
          )
     app.register_blueprint(files_bp)
 
+    app.register_blueprint(inner_api_bp)
+
 
 # create app
 app = create_app()
 celery = app.extensions["celery"]
 
-
 if app.config['TESTING']:
     print("App is running in TESTING mode")
 

api/config.py

@@ -1,20 +1,17 @@
-# -*- 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 = {
+    'EDITION': 'SELF_HOSTED',
     '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',
@@ -25,43 +22,69 @@ DEFAULTS = {
     'CONSOLE_API_URL': 'https://cloud.dify.ai',
     'SERVICE_API_URL': 'https://api.dify.ai',
     'APP_WEB_URL': 'https://udify.app',
-    'APP_API_URL': 'https://udify.app',
     'FILES_URL': '',
+    'FILES_ACCESS_TIMEOUT': 300,
+    'S3_ADDRESS_STYLE': 'auto',
     'STORAGE_TYPE': 'local',
     'STORAGE_LOCAL_PATH': 'storage',
     'CHECK_UPDATE_URL': 'https://updates.dify.ai',
     'DEPLOY_ENV': 'PRODUCTION',
+    'SQLALCHEMY_DATABASE_URI_SCHEME': 'postgresql',
     'SQLALCHEMY_POOL_SIZE': 30,
+    'SQLALCHEMY_MAX_OVERFLOW': 10,
     'SQLALCHEMY_POOL_RECYCLE': 3600,
+    'SQLALCHEMY_POOL_PRE_PING': 'False',
     '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,
+    'QDRANT_GRPC_ENABLED': 'False',
+    'QDRANT_GRPC_PORT': '6334',
     'CELERY_BACKEND': 'database',
     'LOG_LEVEL': 'INFO',
+    'LOG_FILE': '',
+    'LOG_FORMAT': '%(asctime)s.%(msecs)03d %(levelname)s [%(threadName)s] [%(filename)s:%(lineno)d] - %(message)s',
+    'LOG_DATEFORMAT': '%Y-%m-%d %H:%M:%S',
     'HOSTED_OPENAI_QUOTA_LIMIT': 200,
-    'HOSTED_OPENAI_ENABLED': 'False',
+    '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_INCREASE_QUOTA': 1,
+    '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_ENABLED': 'False',
+    'HOSTED_ANTHROPIC_TRIAL_ENABLED': 'False',
     'HOSTED_ANTHROPIC_PAID_ENABLED': 'False',
-    'HOSTED_ANTHROPIC_PAID_INCREASE_QUOTA': 1000000,
-    'HOSTED_ANTHROPIC_PAID_MIN_QUANTITY': 20,
-    'HOSTED_ANTHROPIC_PAID_MAX_QUANTITY': 100,
     'HOSTED_MODERATION_ENABLED': 'False',
     'HOSTED_MODERATION_PROVIDERS': '',
-    'TENANT_DOCUMENT_COUNT': 100,
+    '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
+    'INVITE_EXPIRY_HOURS': 72,
+    'BILLING_ENABLED': 'False',
+    'CAN_REPLACE_LOGO': 'False',
+    'MODEL_LB_ENABLED': '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',
+    'INNER_API': 'False',
+    'ENTERPRISE_ENABLED': 'False',
+    'INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH': 1000,
+    'WORKFLOW_MAX_EXECUTION_STEPS': 500,
+    'WORKFLOW_MAX_EXECUTION_TIME': 1200,
+    'WORKFLOW_CALL_MAX_DEPTH': 5,
 }
 
 
@@ -70,7 +93,8 @@ 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):
@@ -91,43 +115,41 @@ class Config:
         # ------------------------
         # General Configurations.
         # ------------------------
-        self.CURRENT_VERSION = "0.3.31"
+        self.CURRENT_VERSION = "0.6.10"
         self.COMMIT_SHA = get_env('COMMIT_SHA')
-        self.EDITION = "SELF_HOSTED"
+        self.EDITION = get_env('EDITION')
         self.DEPLOY_ENV = get_env('DEPLOY_ENV')
         self.TESTING = False
         self.LOG_LEVEL = get_env('LOG_LEVEL')
+        self.LOG_FILE = get_env('LOG_FILE')
+        self.LOG_FORMAT = get_env('LOG_FORMAT')
+        self.LOG_DATEFORMAT = get_env('LOG_DATEFORMAT')
+        self.API_COMPRESSION_ENABLED = get_bool_env('API_COMPRESSION_ENABLED')
 
         # 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_URL') if get_env('CONSOLE_URL') else get_env('CONSOLE_API_URL')
+        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_URL') if get_env('CONSOLE_URL') else get_env('CONSOLE_WEB_URL')
-
-        # WebApp API backend Url prefix.
-        # used to declare the back-end URL for the front-end API.
-        self.APP_API_URL = get_env('APP_URL') if get_env('APP_URL') else get_env('APP_API_URL')
+        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_URL') if get_env('APP_URL') else get_env('APP_WEB_URL')
+        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('API_URL') if get_env('API_URL') else get_env('SERVICE_API_URL')
+        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
 
-        # Fallback Url prefix.
-        # Will be deprecated in the future.
-        self.CONSOLE_URL = get_env('CONSOLE_URL')
-        self.API_URL = get_env('API_URL')
-        self.APP_URL = get_env('APP_URL')
+        # File Access Time specifies a time interval in seconds for the file to be accessed.
+        # The default value is 300 seconds.
+        self.FILES_ACCESS_TIMEOUT = int(get_env('FILES_ACCESS_TIMEOUT'))
 
         # 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.
@@ -135,6 +157,11 @@ class Config:
         # Alternatively you can set it with `SECRET_KEY` environment variable.
         self.SECRET_KEY = get_env('SECRET_KEY')
 
+        # Enable or disable the inner API.
+        self.INNER_API = get_bool_env('INNER_API')
+        # The inner API key is used to authenticate the inner API.
+        self.INNER_API_KEY = get_env('INNER_API_KEY')
+
         # cors settings
         self.CONSOLE_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
             'CONSOLE_CORS_ALLOW_ORIGINS', self.CONSOLE_WEB_URL)
@@ -149,13 +176,19 @@ class Config:
         # ------------------------
         db_credentials = {
             key: get_env(key) for key in
-            ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE']
+            ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE', 'DB_CHARSET']
         }
+        self.SQLALCHEMY_DATABASE_URI_SCHEME = get_env('SQLALCHEMY_DATABASE_URI_SCHEME')
 
-        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 = f"?client_encoding={db_credentials['DB_CHARSET']}" if db_credentials['DB_CHARSET'] else ""
+
+        self.SQLALCHEMY_DATABASE_URI = f"{self.SQLALCHEMY_DATABASE_URI_SCHEME}://{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')),
-            'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE'))
+            'max_overflow': int(get_env('SQLALCHEMY_MAX_OVERFLOW')),
+            'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE')),
+            'pool_pre_ping': get_bool_env('SQLALCHEMY_POOL_PRE_PING'),
+            'connect_args': {'options': '-c timezone=UTC'},
         }
 
         self.SQLALCHEMY_ECHO = get_bool_env('SQLALCHEMY_ECHO')
@@ -179,26 +212,57 @@ class Config:
             if self.CELERY_BACKEND == 'database' else self.CELERY_BROKER_URL
         self.BROKER_USE_SSL = self.CELERY_BROKER_URL.startswith('rediss://')
 
+        # ------------------------
+        # Code Execution Sandbox Configurations.
+        # ------------------------
+        self.CODE_EXECUTION_ENDPOINT = get_env('CODE_EXECUTION_ENDPOINT')
+        self.CODE_EXECUTION_API_KEY = get_env('CODE_EXECUTION_API_KEY')
+
         # ------------------------
         # File Storage Configurations.
         # ------------------------
         self.STORAGE_TYPE = get_env('STORAGE_TYPE')
         self.STORAGE_LOCAL_PATH = get_env('STORAGE_LOCAL_PATH')
+
+        # S3 Storage settings
         self.S3_ENDPOINT = get_env('S3_ENDPOINT')
         self.S3_BUCKET_NAME = get_env('S3_BUCKET_NAME')
         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')
+
+        # Azure Blob Storage settings
+        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')
+
+        # Aliyun Storage settings
+        self.ALIYUN_OSS_BUCKET_NAME = get_env('ALIYUN_OSS_BUCKET_NAME')
+        self.ALIYUN_OSS_ACCESS_KEY = get_env('ALIYUN_OSS_ACCESS_KEY')
+        self.ALIYUN_OSS_SECRET_KEY = get_env('ALIYUN_OSS_SECRET_KEY')
+        self.ALIYUN_OSS_ENDPOINT = get_env('ALIYUN_OSS_ENDPOINT')
+        self.ALIYUN_OSS_REGION = get_env('ALIYUN_OSS_REGION')
+        self.ALIYUN_OSS_AUTH_VERSION = get_env('ALIYUN_OSS_AUTH_VERSION')
+
+        # Google Cloud Storage settings
+        self.GOOGLE_STORAGE_BUCKET_NAME = get_env('GOOGLE_STORAGE_BUCKET_NAME')
+        self.GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64 = get_env('GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64')
 
         # ------------------------
         # Vector Store Configurations.
-        # Currently, only support: qdrant, milvus, zilliz, weaviate
+        # Currently, only support: qdrant, milvus, zilliz, weaviate, relyt, pgvector
         # ------------------------
         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')
+        self.QDRANT_GRPC_ENABLED = get_env('QDRANT_GRPC_ENABLED')
+        self.QDRANT_GRPC_PORT = get_env('QDRANT_GRPC_PORT')
 
         # milvus / zilliz setting
         self.MILVUS_HOST = get_env('MILVUS_HOST')
@@ -206,6 +270,7 @@ class Config:
         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')
@@ -213,15 +278,59 @@ class Config:
         self.WEAVIATE_GRPC_ENABLED = get_bool_env('WEAVIATE_GRPC_ENABLED')
         self.WEAVIATE_BATCH_SIZE = int(get_env('WEAVIATE_BATCH_SIZE'))
 
+        # 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')
+
+        # pgvecto rs settings
+        self.PGVECTO_RS_HOST = get_env('PGVECTO_RS_HOST')
+        self.PGVECTO_RS_PORT = get_env('PGVECTO_RS_PORT')
+        self.PGVECTO_RS_USER = get_env('PGVECTO_RS_USER')
+        self.PGVECTO_RS_PASSWORD = get_env('PGVECTO_RS_PASSWORD')
+        self.PGVECTO_RS_DATABASE = get_env('PGVECTO_RS_DATABASE')
+
+        # pgvector settings
+        self.PGVECTOR_HOST = get_env('PGVECTOR_HOST')
+        self.PGVECTOR_PORT = get_env('PGVECTOR_PORT')
+        self.PGVECTOR_USER = get_env('PGVECTOR_USER')
+        self.PGVECTOR_PASSWORD = get_env('PGVECTOR_PASSWORD')
+        self.PGVECTOR_DATABASE = get_env('PGVECTOR_DATABASE')
+
+        # tidb-vector settings
+        self.TIDB_VECTOR_HOST = get_env('TIDB_VECTOR_HOST')
+        self.TIDB_VECTOR_PORT = get_env('TIDB_VECTOR_PORT')
+        self.TIDB_VECTOR_USER = get_env('TIDB_VECTOR_USER')
+        self.TIDB_VECTOR_PASSWORD = get_env('TIDB_VECTOR_PASSWORD')
+        self.TIDB_VECTOR_DATABASE = get_env('TIDB_VECTOR_DATABASE')
+
+        # chroma settings
+        self.CHROMA_HOST = get_env('CHROMA_HOST')
+        self.CHROMA_PORT = get_env('CHROMA_PORT')
+        self.CHROMA_TENANT = get_env('CHROMA_TENANT')
+        self.CHROMA_DATABASE = get_env('CHROMA_DATABASE')
+        self.CHROMA_AUTH_PROVIDER = get_env('CHROMA_AUTH_PROVIDER')
+        self.CHROMA_AUTH_CREDENTIALS = get_env('CHROMA_AUTH_CREDENTIALS')
+
         # ------------------------
         # 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')
+        self.SMTP_OPPORTUNISTIC_TLS = get_bool_env('SMTP_OPPORTUNISTIC_TLS')
+
         # ------------------------
-        # Workpace Configurations.
+        # Workspace Configurations.
         # ------------------------
         self.INVITE_EXPIRY_HOURS = int(get_env('INVITE_EXPIRY_HOURS'))
 
@@ -240,13 +349,29 @@ class Config:
         self.MULTIMODAL_SEND_IMAGE_FORMAT = get_env('MULTIMODAL_SEND_IMAGE_FORMAT')
 
         # Dataset Configurations.
-        self.TENANT_DOCUMENT_COUNT = get_env('TENANT_DOCUMENT_COUNT')
         self.CLEAN_DAY_SETTING = get_env('CLEAN_DAY_SETTING')
 
         # 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'))
+        self.BATCH_UPLOAD_LIMIT = get_env('BATCH_UPLOAD_LIMIT')
+
+        # RAG ETL Configurations.
+        self.ETL_TYPE = get_env('ETL_TYPE')
+        self.UNSTRUCTURED_API_URL = get_env('UNSTRUCTURED_API_URL')
+        self.UNSTRUCTURED_API_KEY = get_env('UNSTRUCTURED_API_KEY')
+        self.KEYWORD_DATA_SOURCE_TYPE = get_env('KEYWORD_DATA_SOURCE_TYPE')
+
+        # Indexing Configurations.
+        self.INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH = get_env('INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH')
+
+        # Tool Configurations.
+        self.TOOL_ICON_CACHE_MAX_AGE = get_env('TOOL_ICON_CACHE_MAX_AGE')
+
+        self.WORKFLOW_MAX_EXECUTION_STEPS = int(get_env('WORKFLOW_MAX_EXECUTION_STEPS'))
+        self.WORKFLOW_MAX_EXECUTION_TIME = int(get_env('WORKFLOW_MAX_EXECUTION_TIME'))
+        self.WORKFLOW_CALL_MAX_DEPTH = int(get_env('WORKFLOW_CALL_MAX_DEPTH'))
 
         # Moderation in app Configurations.
         self.OUTPUT_MODERATION_BUFFER_SIZE = int(get_env('OUTPUT_MODERATION_BUFFER_SIZE'))
@@ -261,46 +386,52 @@ class Config:
         # ------------------------
         # Platform Configurations.
         # ------------------------
-        self.HOSTED_OPENAI_ENABLED = get_bool_env('HOSTED_OPENAI_ENABLED')
-        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_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_STRIPE_PRICE_ID = get_env('HOSTED_OPENAI_PAID_STRIPE_PRICE_ID')
-        self.HOSTED_OPENAI_PAID_INCREASE_QUOTA = int(get_env('HOSTED_OPENAI_PAID_INCREASE_QUOTA'))
-
-        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_ENABLED = get_bool_env('HOSTED_ANTHROPIC_ENABLED')
-        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_QUOTA_LIMIT = int(get_env('HOSTED_ANTHROPIC_QUOTA_LIMIT'))
-        self.HOSTED_ANTHROPIC_PAID_ENABLED = get_bool_env('HOSTED_ANTHROPIC_PAID_ENABLED')
-        self.HOSTED_ANTHROPIC_PAID_STRIPE_PRICE_ID = get_env('HOSTED_ANTHROPIC_PAID_STRIPE_PRICE_ID')
-        self.HOSTED_ANTHROPIC_PAID_INCREASE_QUOTA = int(get_env('HOSTED_ANTHROPIC_PAID_INCREASE_QUOTA'))
-        self.HOSTED_ANTHROPIC_PAID_MIN_QUANTITY = int(get_env('HOSTED_ANTHROPIC_PAID_MIN_QUANTITY'))
-        self.HOSTED_ANTHROPIC_PAID_MAX_QUANTITY = int(get_env('HOSTED_ANTHROPIC_PAID_MAX_QUANTITY'))
-
-        self.HOSTED_MODERATION_ENABLED = get_bool_env('HOSTED_MODERATION_ENABLED')
-        self.HOSTED_MODERATION_PROVIDERS = get_env('HOSTED_MODERATION_PROVIDERS')
-
-
-class CloudEditionConfig(Config):
-
-    def __init__(self):
-        super().__init__()
-
-        self.EDITION = "CLOUD"
-
         self.GITHUB_CLIENT_ID = get_env('GITHUB_CLIENT_ID')
         self.GITHUB_CLIENT_SECRET = get_env('GITHUB_CLIENT_SECRET')
         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')
 
-        self.STRIPE_API_KEY = get_env('STRIPE_API_KEY')
-        self.STRIPE_WEBHOOK_SECRET = get_env('STRIPE_WEBHOOK_SECRET')
+        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')
+
+        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')
+
+        # Model Load Balancing Configurations.
+        self.MODEL_LB_ENABLED = get_bool_env('MODEL_LB_ENABLED')
+
+        # Platform Billing Configurations.
+        self.BILLING_ENABLED = get_bool_env('BILLING_ENABLED')
+
+        # ------------------------
+        # Enterprise feature Configurations.
+        # **Before using, please contact business@dify.ai by email to inquire about licensing matters.**
+        # ------------------------
+        self.ENTERPRISE_ENABLED = get_bool_env('ENTERPRISE_ENABLED')
+        self.CAN_REPLACE_LOGO = get_bool_env('CAN_REPLACE_LOGO')

api/constants/languages.py

@@ -0,0 +1,30 @@
+
+
+languages = ['en-US', 'zh-Hans', 'zh-Hant', 'pt-BR', 'es-ES', 'fr-FR', 'de-DE', 'ja-JP', 'ko-KR', 'ru-RU', 'it-IT', 'uk-UA', 'vi-VN', 'pl-PL']
+
+language_timezone_mapping = {
+    'en-US': 'America/New_York',
+    'zh-Hans': 'Asia/Shanghai',
+    'zh-Hant': 'Asia/Taipei',
+    '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',
+    'ro-RO': 'Europe/Bucharest',
+    'pl-PL': 'Europe/Warsaw',
+}
+
+
+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

@@ -1,45 +1,31 @@
 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': 'gpt-3.5-turbo-instruct',
-            'configs': {
-                'prompt_template': '',
-                'prompt_variables': [],
-                'completion_params': {
-                    'max_token': 512,
-                    'temperature': 1,
-                    'top_p': 1,
-                    'presence_penalty': 0,
-                    'frequency_penalty': 0,
-                }
-            },
-            'model': json.dumps({
+            'model': {
                 "provider": "openai",
-                "name": "gpt-3.5-turbo-instruct",
-                "mode": "completion",
-                "completion_params": {
-                    "max_tokens": 512,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0
-                }
-            }),
+                "name": "gpt-4",
+                "mode": "chat",
+                "completion_params": {}
+            },
             'user_input_form': json.dumps([
                 {
                     "paragraph": {
@@ -51,303 +37,50 @@ model_templates = {
                 }
             ]),
             '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",
+                "name": "gpt-4",
                 "mode": "chat",
-                "completion_params": {
-                    "max_tokens": 512,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0
-                }
-            })
+                "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='gpt-3.5-turbo-instruct',
-                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{{query}}\ntranslate:",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo-instruct",
-                    "mode": "completion",
-                    "completion_params": {
-                        "max_tokens": 1000,
-                        "temperature": 0,
-                        "top_p": 0,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=json.dumps([
-                    {
-                        "select": {
-                            "label": "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',
-                            ]
-                        }
-                    },{
-                        "paragraph": {
-                            "label": "Query",
-                            "variable": "query",
-                            "required": True,
-                            "default": ""
-                        }
-                    }
-                ])
-            )
-        },
-        {
-            '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",
-                    "mode": "chat",
-                    "completion_params": {
-                        "max_tokens": 300,
-                        "temperature": 0.8,
-                        "top_p": 0.9,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=None
-            )
+    # 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='gpt-3.5-turbo-instruct',
-                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{{query}}\n翻译:",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "gpt-3.5-turbo-instruct",
-                    "mode": "completion",
-                    "completion_params": {
-                        "max_tokens": 1000,
-                        "temperature": 0,
-                        "top_p": 0,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=json.dumps([
-                    {
-                        "select": {
-                            "label": "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",
-                            ]
-                        }
-                    },{
-                        "paragraph": {
-                            "label": "文本内容",
-                            "variable": "query",
-                            "required": True,
-                            "default": ""
-                        }
-                    }
-                ])
-            )
+    # 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",
-                    "mode": "chat",
-                    "completion_params": {
-                        "max_tokens": 300,
-                        "temperature": 0.8,
-                        "top_p": 0.9,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=None
-            )
+        'model_config': {
+            'model': {
+                "provider": "openai",
+                "name": "gpt-4",
+                "mode": "chat",
+                "completion_params": {}
+            }
         }
-    ],
+    }
 }

api/controllers/__init__.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 
 
 

api/controllers/console/__init__.py

@@ -6,25 +6,52 @@ bp = Blueprint('console', __name__, url_prefix='/console/api')
 api = ExternalApi(bp)
 
 # Import other controllers
-from . import extension, setup, version, apikey, admin
+from . import admin, apikey, extension, feature, ping, setup, version
 
 # Import app controllers
-from .app import advanced_prompt_template, app, site, completion, model_config, statistic, conversation, message, generator, audio
+from .app import (
+    advanced_prompt_template,
+    agent,
+    annotation,
+    app,
+    audio,
+    completion,
+    conversation,
+    generator,
+    message,
+    model_config,
+    site,
+    statistic,
+    workflow,
+    workflow_app_log,
+    workflow_run,
+    workflow_statistic,
+)
 
 # Import auth controllers
-from .auth import login, oauth, data_source_oauth, activate
+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, data_source
-
-# Import workspace controllers
-from .workspace import workspace, members, providers, model_providers, account, tool_providers, models
+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, audio
+from .explore import (
+    audio,
+    completion,
+    conversation,
+    installed_app,
+    message,
+    parameter,
+    recommended_app,
+    saved_message,
+    workflow,
+)
 
-# Import universal chat controllers
-from .universal_chat import chat, conversation, message, parameter, audio
+# Import tag controllers
+from .tag import tags
 
-# Import webhook controllers
-from .webhook import stripe
+# Import workspace controllers
+from .workspace import account, load_balancing_config, members, model_providers, models, tool_providers, workspace

api/controllers/console/admin.py

@@ -5,11 +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 libs.helper import supported_language
-from models.model import RecommendedApp, App, InstalledApp
+from models.model import App, InstalledApp, RecommendedApp
 
 
 def admin_required(view):
@@ -48,6 +48,7 @@ class InsertExploreAppListApi(Resource):
         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('custom_disclaimer', 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')
@@ -62,6 +63,7 @@ class InsertExploreAppListApi(Resource):
             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 ''
+            custom_disclaimer = args['custom_disclaimer'] if args['custom_disclaimer'] else ''
         else:
             desc = site.description if site.description else \
                 args['desc'] if args['desc'] else ''
@@ -69,6 +71,8 @@ class InsertExploreAppListApi(Resource):
                 args['copyright'] if args['copyright'] else ''
             privacy_policy = site.privacy_policy if site.privacy_policy else \
                 args['privacy_policy'] if args['privacy_policy']  else ''
+            custom_disclaimer = site.custom_disclaimer if site.custom_disclaimer else \
+                args['custom_disclaimer'] if args['custom_disclaimer'] else ''
 
         recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == args['app_id']).first()
 
@@ -78,6 +82,7 @@ class InsertExploreAppListApi(Resource):
                 description=desc,
                 copyright=copy_right,
                 privacy_policy=privacy_policy,
+                custom_disclaimer=custom_disclaimer,
                 language=args['language'],
                 category=args['category'],
                 position=args['position']
@@ -93,6 +98,7 @@ class InsertExploreAppListApi(Resource):
             recommended_app.description = desc
             recommended_app.copyright = copy_right
             recommended_app.privacy_policy = privacy_policy
+            recommended_app.custom_disclaimer = custom_disclaimer
             recommended_app.language = args['language']
             recommended_app.category = args['category']
             recommended_app.position = args['position']

api/controllers/console/apikey.py

@@ -1,17 +1,17 @@
-from flask_login import current_user
-from libs.login import login_required
 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,
@@ -62,9 +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). \
@@ -103,7 +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

@@ -6,6 +6,7 @@ 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

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

@@ -1,34 +1,27 @@
-# -*- coding:utf-8 -*-
 import json
-import logging
-from datetime import datetime
+import uuid
 
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal_with, abort, inputs
-from werkzeug.exceptions import Forbidden
+from flask_restful import Resource, inputs, marshal, marshal_with, reqparse
+from werkzeug.exceptions import BadRequest, Forbidden, abort
 
-from constants.model_template import model_templates, demo_model_templates
 from controllers.console import api
-from controllers.console.app.error import AppNotFoundError, ProviderNotInitializeError
+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.model_providers.error import ProviderTokenNotInitError, LLMBadRequestError
-from core.model_providers.model_factory import ModelFactory
-from core.model_providers.model_provider_factory import ModelProviderFactory
-from events.app_event import app_was_created, app_was_deleted
-from fields.app_fields import app_pagination_fields, app_detail_fields, template_list_fields, \
-    app_detail_fields_with_site
-from extensions.ext_database import db
-from models.model import App, AppModelConfig, Site
-from services.app_model_config_service import AppModelConfigService
+from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
+from core.tools.tool_manager import ToolManager
+from core.tools.utils.configuration import ToolParameterConfigurationManager
+from fields.app_fields import (
+    app_detail_fields,
+    app_detail_fields_with_site,
+    app_pagination_fields,
+)
+from libs.login import login_required
+from models.model import App, AppMode, AppModelConfig
+from services.app_service import AppService
+from services.tag_service import TagService
 
-
-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):
@@ -36,163 +29,82 @@ class AppListApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    @marshal_with(app_pagination_fields)
     def get(self):
         """Get app list"""
+        def uuid_list(value):
+            try:
+                return [str(uuid.UUID(v)) for v in value.split(',')]
+            except ValueError:
+                abort(400, message="Invalid UUID format in tag_ids.")
         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)
+        parser.add_argument('tag_ids', type=uuid_list, location='args', required=False)
+
         args = parser.parse_args()
 
-        app_models = db.paginate(
-            db.select(App).where(App.tenant_id == current_user.current_tenant_id,
-                                 App.is_universal == False).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)
+        if not app_pagination:
+            return {'data': [], 'total': 0, 'page': 1, 'limit': 20, 'has_more': False}
 
-        return app_models
+        return marshal(app_pagination, app_pagination_fields)
 
     @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()
 
-        try:
-            default_model = ModelFactory.get_text_generation_model(
-                tenant_id=current_user.current_tenant_id
-            )
-        except (ProviderTokenNotInitError, LLMBadRequestError):
-            default_model = None
-        except Exception as e:
-            logging.exception(e)
-            default_model = None
+        if 'mode' not in args or args['mode'] is None:
+            raise BadRequest("mode is required")
 
-        if args['model_config'] is not None:
-            # validate config
-            model_config_dict = args['model_config']
-
-            # get model provider
-            model_provider = ModelProviderFactory.get_preferred_model_provider(
-                current_user.current_tenant_id,
-                model_config_dict["model"]["provider"]
-            )
-
-            if not model_provider:
-                if not default_model:
-                    raise ProviderNotInitializeError(
-                        f"No Default System Reasoning Model available. Please configure "
-                        f"in the Settings -> Model Provider.")
-                else:
-                    model_config_dict["model"]["provider"] = default_model.model_provider.provider_name
-                    model_config_dict["model"]["name"] = default_model.name
-
-            model_configuration = AppModelConfigService.validate_configuration(
-                tenant_id=current_user.current_tenant_id,
-                account=current_user,
-                config=model_config_dict,
-                mode=args['mode']
-            )
-
-            app = App(
-                enable_site=True,
-                enable_api=True,
-                is_demo=False,
-                api_rpm=0,
-                api_rph=0,
-                status='normal'
-            )
-
-            app_model_config = AppModelConfig()
-            app_model_config = app_model_config.from_model_config_dict(model_configuration)
-        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'])
-
-            # get model provider
-            model_provider = ModelProviderFactory.get_preferred_model_provider(
-                current_user.current_tenant_id,
-                app_model_config.model_dict["provider"]
-            )
-
-            if not model_provider:
-                if not default_model:
-                    raise ProviderNotInitializeError(
-                        f"No Default System Reasoning Model available. Please configure "
-                        f"in the Settings -> Model Provider.")
-                else:
-                    model_dict = app_model_config.model_dict
-                    model_dict['provider'] = default_model.model_provider.provider_name
-                    model_dict['name'] = default_model.name
-                    app_model_config.model = json.dumps(model_dict)
-
-        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):
-
+class AppImportApi(Resource):
     @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
+    @marshal_with(app_detail_fields_with_site)
+    @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()
 
-        templates = demo_model_templates.get(interface_language)
-        if not templates:
-            templates = demo_model_templates.get('en-US')
+        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()
 
-        return {'data': templates}
+        app_service = AppService()
+        app = app_service.import_app(current_user.current_tenant_id, args['data'], args, current_user)
+
+        return app, 201
 
 
 class AppApi(Resource):
@@ -200,176 +112,164 @@ class AppApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model
     @marshal_with(app_detail_fields_with_site)
-    def get(self, app_id):
+    def get(self, app_model):
         """Get app detail"""
-        app_id = str(app_id)
-        app = _get_app(app_id, current_user.current_tenant_id)
+        app_service = AppService()
 
-        return app
+        app_model = app_service.get_app(app_model)
+
+        return app_model
 
     @setup_required
     @login_required
     @account_initialization_required
-    def delete(self, app_id):
-        """Delete app"""
-        app_id = str(app_id)
+    @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()
 
-        if current_user.current_tenant.current_role not in ['admin', 'owner']:
+        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"""
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
 
-        app = _get_app(app_id, current_user.current_tenant_id)
-
-        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):
-        app_id = str(app_id)
-        app = _get_app(app_id, current_user.current_tenant_id)
-
+    def post(self, app_model):
         parser = reqparse.RequestParser()
         parser.add_argument('name', type=str, required=True, location='json')
         args = parser.parse_args()
 
-        app.name = args.get('name')
-        app.updated_at = datetime.utcnow()
-        db.session.commit()
-        return app
+        app_service = AppService()
+        app_model = app_service.update_app_name(app_model, args.get('name'))
+
+        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):
-        app_id = str(app_id)
-        app = _get_app(app_id, current_user.current_tenant_id)
-
+    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.icon = args.get('icon')
-        app.icon_background = args.get('icon_background')
-        app.updated_at = datetime.utcnow()
-        db.session.commit()
+        app_service = AppService()
+        app_model = app_service.update_app_icon(app_model, args.get('icon'), args.get('icon_background'))
 
-        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 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 = app_config.copy()
-        copy_app_model_config.app_id = copy_app_id
-
-        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
+        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/controllers/console/app/audio.py

@@ -1,41 +1,51 @@
-# -*- coding:utf-8 -*-
 import logging
 
 from flask import request
-from libs.login import login_required
+from flask_restful import Resource, reqparse
 from werkzeug.exceptions import InternalServerError
 
 import services
 from controllers.console import api
-from controllers.console.app import _get_app
-from controllers.console.app.error import AppUnavailableError, \
-    ProviderNotInitializeError, CompletionRequestError, ProviderQuotaExceededError, \
-    ProviderModelCurrentlyNotSupportError, NoAudioUploadedError, AudioTooLargeError, \
-    UnsupportedAudioTypeError, ProviderNotSupportSpeechToTextError
+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.model_providers.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
-    LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
-from flask_restful import Resource
+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 NoAudioUploadedServiceError, AudioTooLargeServiceError, \
-    UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
+from services.errors.audio import (
+    AudioTooLargeServiceError,
+    NoAudioUploadedServiceError,
+    ProviderNotSupportSpeechToTextServiceError,
+    UnsupportedAudioTypeServiceError,
+)
 
 
 class ChatMessageAudioApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def post(self, app_id):
-        app_id = str(app_id)
-        app_model = _get_app(app_id, 'chat')
-
+    @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(
-                tenant_id=app_model.tenant_id,
+            response = AudioService.transcript_asr(
+                app_model=app_model,
                 file=file,
+                end_user=None,
             )
 
             return response
@@ -56,14 +66,98 @@ class ChatMessageAudioApi(Resource):
             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:
-            logging.exception("internal server error.")
+            logging.exception(f"internal server error, {str(e)}.")
             raise InternalServerError()
-        
 
-api.add_resource(ChatMessageAudioApi, '/apps/<uuid:app_id>/audio-to-text')
+
+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['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 libs.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.model_providers.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
@@ -31,12 +34,8 @@ 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', default='')
@@ -52,16 +51,15 @@ class CompletionMessageApi(Resource):
         account = flask_login.current_user
 
         try:
-            response = CompletionService.completion(
+            response = AppGenerateService.generate(
                 app_model=app_model,
                 user=account,
                 args=args,
-                from_source='console',
-                streaming=streaming,
-                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:
@@ -75,9 +73,8 @@ class CompletionMessageApi(Resource):
             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:
@@ -89,15 +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
 
@@ -106,12 +99,8 @@ 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')
@@ -128,16 +117,15 @@ class ChatMessageApi(Resource):
         account = flask_login.current_user
 
         try:
-            response = CompletionService.completion(
+            response = AppGenerateService.generate(
                 app_model=app_model,
                 user=account,
                 args=args,
-                from_source='console',
-                streaming=streaming,
-                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:
@@ -151,9 +139,8 @@ class ChatMessageApi(Resource):
             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:
@@ -161,53 +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 as ex:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).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

@@ -1,23 +1,28 @@
-from datetime import datetime
+from datetime import datetime, timezone
 
 import pytz
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal_with
+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 fields.conversation_fields import conversation_pagination_fields, conversation_detail_fields, \
-    conversation_message_detail_fields, conversation_with_summary_pagination_fields
-from libs.helper import datetime_string
+from core.app.entities.app_invoke_entities import InvokeFrom
 from extensions.ext_database import db
-from models.model import Message, MessageAnnotation, Conversation
+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):
@@ -25,10 +30,9 @@ class CompletionConversationApi(Resource):
     @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')
@@ -39,10 +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(
@@ -102,24 +103,22 @@ class CompletionConversationDetailApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model(mode=AppMode.COMPLETION)
     @marshal_with(conversation_message_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, 'completion')
+        return _get_conversation(app_model, conversation_id)
 
     @setup_required
     @login_required
     @account_initialization_required
-    def delete(self, app_id, conversation_id):
-        app_id = str(app_id)
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
+    def delete(self, app_model, conversation_id):
         conversation_id = str(conversation_id)
 
-        app = _get_app(app_id, 'chat')
-
         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.")
@@ -135,10 +134,9 @@ class ChatConversationApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
     @marshal_with(conversation_with_summary_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')
@@ -150,10 +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(
@@ -207,6 +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(
@@ -224,25 +222,22 @@ class ChatConversationDetailApi(Resource):
     @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_id, conversation_id):
-        app_id = str(app_id)
+    def delete(self, app_model, conversation_id):
         conversation_id = str(conversation_id)
 
-        # get app info
-        app = _get_app(app_id, 'chat')
-
         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.")
@@ -259,18 +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

@@ -72,4 +72,28 @@ class UnsupportedAudioTypeError(BaseHTTPException):
 class ProviderNotSupportSpeechToTextError(BaseHTTPException):
     error_code = 'provider_not_support_speech_to_text'
     description = "Provider not support speech to text."
-    code = 400
+    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
+
+
+class DraftWorkflowNotSync(BaseHTTPException):
+    error_code = 'draft_workflow_not_sync'
+    description = "Workflow graph might have been modified, please refresh and resubmit."
+    code = 400

api/controllers/console/app/generator.py

@@ -1,15 +1,19 @@
 from flask_login import current_user
-from libs.login import login_required
 from flask_restful import Resource, reqparse
 
 from controllers.console import api
-from controllers.console.app.error import ProviderNotInitializeError, ProviderQuotaExceededError, \
-    CompletionRequestError, ProviderModelCurrentlyNotSupportError
+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.generator.llm_generator import LLMGenerator
-from core.model_providers.error import ProviderTokenNotInitError, QuotaExceededError, LLMBadRequestError, LLMAPIConnectionError, \
-    LLMAPIUnavailableError, LLMRateLimitError, LLMAuthorizationError, ModelCurrentlyNotSupportError
+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):
@@ -36,9 +40,8 @@ class RuleGenerateApi(Resource):
             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)
 
         return rules
 

api/controllers/console/app/message.py

@@ -1,31 +1,33 @@
-import json
 import logging
-from typing import Union, Generator
 
-from flask import Response, stream_with_context
 from flask_login import current_user
-from flask_restful import Resource, reqparse, marshal_with, fields
+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.model_providers.error import LLMRateLimitError, LLMBadRequestError, LLMAuthorizationError, LLMAPIConnectionError, \
-    ProviderTokenNotInitError, LLMAPIUnavailableError, QuotaExceededError, ModelCurrentlyNotSupportError
-from libs.login import login_required
-from fields.conversation_fields import message_detail_fields
+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 fields.conversation_fields import annotation_fields, message_detail_fields
 from libs.helper import uuid_value
 from libs.infinite_scroll_pagination import InfiniteScrollPagination
-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 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
 
 
@@ -38,14 +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')
@@ -54,7 +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:
@@ -102,12 +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')
@@ -117,7 +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:
@@ -133,7 +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'],
@@ -151,153 +145,52 @@ 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 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 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 as ex:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).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,
                 message_id=message_id,
                 user=current_user,
-                check_enabled=False
+                invoke_from=InvokeFrom.DEBUGGER
             )
         except MessageNotExistsError:
             raise NotFound("Message not found")
@@ -309,9 +202,10 @@ class MessageSuggestedQuestionApi(Resource):
             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()
@@ -323,14 +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)
-
         message = db.session.query(Message).filter(
             Message.id == message_id,
             Message.app_id == app_model.id
@@ -342,7 +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_restful import Resource
 from flask_login import current_user
+from flask_restful import Resource
 
 from controllers.console import api
-from controllers.console.app import _get_app
+from controllers.console.app.wraps import get_app_model
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from libs.login import login_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
 
 
@@ -20,18 +23,14 @@ 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(
             tenant_id=current_user.current_tenant_id,
-            account=current_user,
             config=request.json,
-            mode=app_model.mode
+            app_mode=AppMode.value_of(app_model.mode)
         )
 
         new_app_model_config = AppModelConfig(
@@ -39,6 +38,96 @@ class ModelConfigResource(Resource):
         )
         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,
+                        app_id=app_model.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,
+                        identity_id=f'AGENT.{app_model.id}'
+                    )
+                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,
+                            app_id=app_model.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,
+                    identity_id=f'AGENT.{app_model.id}'
+                )
+                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
+                    
+                    for masked_key, masked_value in masked_parameter_map[key].items():
+                        if masked_key in agent_tool_entity.tool_parameters and \
+                                agent_tool_entity.tool_parameters[masked_key] == masked_value:
+                            agent_tool_entity.tool_parameters[masked_key] = parameter_map[key].get(masked_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

@@ -1,16 +1,15 @@
-# -*- coding:utf-8 -*-
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal_with
-from werkzeug.exceptions import NotFound, Forbidden
+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 fields.app_fields import app_site_fields
-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
 
 
@@ -24,6 +23,7 @@ def parse_app_site_args():
     parser.add_argument('customize_domain', type=str, required=False, location='json')
     parser.add_argument('copyright', type=str, required=False, location='json')
     parser.add_argument('privacy_policy', type=str, required=False, location='json')
+    parser.add_argument('custom_disclaimer', type=str, required=False, location='json')
     parser.add_argument('customize_token_strategy', type=str, choices=['must', 'allow', 'not_allow'],
                         required=False,
                         location='json')
@@ -35,15 +35,13 @@ 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). \
@@ -59,6 +57,7 @@ class AppSite(Resource):
             'customize_domain',
             'copyright',
             'privacy_policy',
+            'custom_disclaimer',
             'customize_token_strategy',
             'prompt_public'
         ]:
@@ -83,13 +82,11 @@ 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

@@ -1,19 +1,19 @@
-# -*- coding:utf-8 -*-
-from decimal import Decimal
 from datetime import datetime
+from decimal import Decimal
 
 import pytz
 from flask import jsonify
 from flask_login import current_user
-from libs.login import login_required
 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):
@@ -21,10 +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')
@@ -62,16 +61,15 @@ class DailyConversationStatistic(Resource):
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.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_data
@@ -83,10 +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')
@@ -124,16 +121,15 @@ class DailyTerminalsStatistic(Resource):
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.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_data
@@ -144,10 +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')
@@ -187,18 +182,17 @@ class DailyTokenCostStatistic(Resource):
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.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_data
@@ -209,10 +203,9 @@ class AverageSessionInteractionStatistic(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self, app_id):
+    @get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
+    def get(self, app_model):
         account = current_user
-        app_id = str(app_id)
-        app_model = _get_app(app_id, 'chat')
 
         parser = reqparse.RequestParser()
         parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@@ -256,16 +249,15 @@ 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)
-
-        response_data = []
-
-        for i in rs:
-            response_data.append({
-                'date': str(i.date),
-                'interactions': float(i.interactions.quantize(Decimal('0.01')))
-            })
+            for i in rs:
+                response_data.append({
+                    'date': str(i.date),
+                    'interactions': float(i.interactions.quantize(Decimal('0.01')))
+                })
 
         return jsonify({
             'data': response_data
@@ -276,10 +268,9 @@ class UserSatisfactionRateStatistic(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')
@@ -320,30 +311,28 @@ class UserSatisfactionRateStatistic(Resource):
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        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),
-            })
+        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
-            })
+            'data': response_data
+        })
 
 
 class AverageResponseTimeStatistic(Resource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self, app_id):
+    @get_app_model(mode=AppMode.COMPLETION)
+    def get(self, app_model):
         account = current_user
-        app_id = str(app_id)
-        app_model = _get_app(app_id, 'completion')
 
         parser = reqparse.RequestParser()
         parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@@ -383,16 +372,15 @@ class AverageResponseTimeStatistic(Resource):
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.append({
-                'date': str(i.date),
-                'latency': round(i.latency * 1000, 4)
-            })
+        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
@@ -403,10 +391,9 @@ class TokensPerSecondStatistic(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')
@@ -447,16 +434,15 @@ WHERE app_id = :app_id'''
 
         sql_query += ' GROUP BY date order by date'
 
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql_query), arg_dict)
-
         response_data = []
 
-        for i in rs:
-            response_data.append({
-                'date': str(i.date),
-                'tps': round(i.tokens_per_second, 4)
-            })
+        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/controllers/console/app/workflow.py

@@ -0,0 +1,400 @@
+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, DraftWorkflowNotSync
+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.errors.app import WorkflowHashNotEqualError
+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')
+            parser.add_argument('hash', type=str, required=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'),
+                    'hash': data.get('hash')
+                }
+            except json.JSONDecodeError:
+                return {'message': 'Invalid JSON data'}, 400
+        else:
+            abort(415)
+
+        workflow_service = WorkflowService()
+
+        try:
+            workflow = workflow_service.sync_draft_workflow(
+                app_model=app_model,
+                graph=args.get('graph'),
+                features=args.get('features'),
+                unique_hash=args.get('hash'),
+                account=current_user
+            )
+        except WorkflowHashNotEqualError:
+            raise DraftWorkflowNotSync()
+
+        return {
+            "result": "success",
+            "hash": workflow.unique_hash,
+            "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 AdvancedChatDraftRunIterationNodeApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.ADVANCED_CHAT])
+    def post(self, app_model: App, node_id: str):
+        """
+        Run draft workflow iteration node
+        """
+        parser = reqparse.RequestParser()
+        parser.add_argument('inputs', type=dict, location='json')
+        args = parser.parse_args()
+
+        try:
+            response = AppGenerateService.generate_single_iteration(
+                app_model=app_model,
+                user=current_user,
+                node_id=node_id,
+                args=args,
+                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 WorkflowDraftRunIterationNodeApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @get_app_model(mode=[AppMode.WORKFLOW])
+    def post(self, app_model: App, node_id: str):
+        """
+        Run draft workflow iteration node
+        """
+        parser = reqparse.RequestParser()
+        parser.add_argument('inputs', type=dict, location='json')
+        args = parser.parse_args()
+
+        try:
+            response = AppGenerateService.generate_single_iteration(
+                app_model=app_model,
+                user=current_user,
+                node_id=node_id,
+                args=args,
+                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(AdvancedChatDraftRunIterationNodeApi, '/apps/<uuid:app_id>/advanced-chat/workflows/draft/iteration/nodes/<string:node_id>/run')
+api.add_resource(WorkflowDraftRunIterationNodeApi, '/apps/<uuid:app_id>/workflows/draft/iteration/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.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

@@ -1,15 +1,16 @@
 import base64
+import datetime
 import secrets
-from datetime import datetime
 
 from flask_restful import Resource, reqparse
 
+from constants.languages import supported_language
 from controllers.console import api
 from controllers.console.error import AlreadyActivateError
 from extensions.ext_database import db
-from libs.helper import email, str_len, supported_language, timezone
-from libs.password import valid_password, hash_password
-from models.account import AccountStatus, Tenant
+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
 
 
@@ -65,7 +66,7 @@ class ActivateApi(Resource):
         account.timezone = args['timezone']
         account.interface_theme = 'light'
         account.status = AccountStatus.ACTIVE.value
-        account.initialized_at = datetime.utcnow()
+        account.initialized_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
         db.session.commit()
 
         return {'result': 'success'}

api/controllers/console/auth/data_source_oauth.py

@@ -1,15 +1,15 @@
 import logging
 
 import requests
-from flask import request, redirect, current_app
+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 controllers.console import api
+
 from ..setup import setup_required
 from ..wraps import account_initialization_required
 
@@ -31,7 +31,7 @@ def get_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 current_user.current_tenant.current_role not in ['admin', 'owner']:
+        if not current_user.is_admin_or_owner:
             raise Forbidden()
         OAUTH_DATASOURCE_PROVIDERS = get_oauth_providers()
         with current_app.app_context():

api/controllers/console/auth/login.py

@@ -1,7 +1,5 @@
-# -*- 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
@@ -28,13 +26,13 @@ class LoginApi(Resource):
 
         try:
             account = AccountService.authenticate(args['email'], args['password'])
-        except services.errors.account.AccountLoginError:
-            return {'code': 'unauthorized', 'message': 'Invalid email or password'}, 401
+        except services.errors.account.AccountLoginError as e:
+            return {'code': 'unauthorized', 'message': str(e)}, 401
 
-        try:
-            TenantService.switch_tenant(account)
-        except Exception:
-            pass
+        # SELF_HOSTED only have one workspace
+        tenants = TenantService.get_join_tenants(account)
+        if len(tenants) == 0:
+            return {'result': 'fail', 'data': 'workspace not found, please contact system admin to invite you to join in a workspace'}
 
         AccountService.update_last_login(account, request)
 
@@ -48,7 +46,6 @@ class LogoutApi(Resource):
 
     @setup_required
     def get(self):
-        flask.session.pop('workspace_id', None)
         flask_login.logout_user()
         return {'result': 'success'}
 

api/controllers/console/auth/oauth.py

@@ -1,15 +1,17 @@
 import logging
-from datetime import datetime
+from datetime import datetime, timezone
 from typing import Optional
 
 import requests
-from flask import request, redirect, current_app
+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
 
 
@@ -71,9 +73,11 @@ 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()
 
+        TenantService.create_owner_tenant_if_not_exist(account)
+
         AccountService.update_last_login(account, request)
 
         token = AccountService.get_account_jwt_token(account)
@@ -106,11 +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

@@ -3,17 +3,18 @@ import json
 
 from flask import request
 from flask_login import current_user
-from libs.login import login_required
 from flask_restful import Resource, marshal_with, reqparse
 from werkzeug.exceptions import NotFound
 
 from controllers.console import api
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.data_loader.loader.notion import NotionLoader
 from core.indexing_runner import IndexingRunner
+from core.rag.extractor.entity.extract_setting import ExtractSetting
+from core.rag.extractor.notion_extractor import NotionExtractor
 from extensions.ext_database import db
-from fields.data_source_fields import integrate_notion_info_list_fields, integrate_list_fields
+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
@@ -79,7 +80,7 @@ class DataSourceApi(Resource):
         if action == 'enable':
             if data_source_binding.disabled:
                 data_source_binding.disabled = False
-                data_source_binding.updated_at = datetime.datetime.utcnow()
+                data_source_binding.updated_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
                 db.session.add(data_source_binding)
                 db.session.commit()
             else:
@@ -88,7 +89,7 @@ class DataSourceApi(Resource):
         if action == 'disable':
             if not data_source_binding.disabled:
                 data_source_binding.disabled = True
-                data_source_binding.updated_at = datetime.datetime.utcnow()
+                data_source_binding.updated_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
                 db.session.add(data_source_binding)
                 db.session.commit()
             else:
@@ -173,14 +174,15 @@ class DataSourceNotionApi(Resource):
         if not data_source_binding:
             raise NotFound('Data source binding not found.')
 
-        loader = NotionLoader(
-            notion_access_token=data_source_binding.access_token,
+        extractor = NotionExtractor(
             notion_workspace_id=workspace_id,
             notion_obj_id=page_id,
-            notion_page_type=page_type
+            notion_page_type=page_type,
+            notion_access_token=data_source_binding.access_token,
+            tenant_id=current_user.current_tenant_id
         )
 
-        text_docs = loader.load()
+        text_docs = extractor.extract()
         return {
             'content': "\n".join([doc.page_content for doc in text_docs])
         }, 200
@@ -192,11 +194,31 @@ class DataSourceNotionApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument('notion_info_list', type=list, required=True, nullable=True, location='json')
         parser.add_argument('process_rule', type=dict, required=True, nullable=True, location='json')
+        parser.add_argument('doc_form', type=str, default='text_model', required=False, nullable=False, location='json')
+        parser.add_argument('doc_language', type=str, default='English', required=False, nullable=False, location='json')
         args = parser.parse_args()
         # validate args
         DocumentService.estimate_args_validate(args)
+        notion_info_list = args['notion_info_list']
+        extract_settings = []
+        for notion_info in notion_info_list:
+            workspace_id = notion_info['workspace_id']
+            for page in notion_info['pages']:
+                extract_setting = ExtractSetting(
+                    datasource_type="notion_import",
+                    notion_info={
+                        "notion_workspace_id": workspace_id,
+                        "notion_obj_id": page['page_id'],
+                        "notion_page_type": page['type'],
+                        "tenant_id": current_user.current_tenant_id
+                    },
+                    document_model=args['doc_form']
+                )
+                extract_settings.append(extract_setting)
         indexing_runner = IndexingRunner()
-        response = indexing_runner.notion_indexing_estimate(current_user.current_tenant_id, args['notion_info_list'], args['process_rule'])
+        response = indexing_runner.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                     args['process_rule'], args['doc_form'],
+                                                     args['doc_language'])
         return response, 200
 
 

api/controllers/console/datasets/datasets.py

@@ -1,29 +1,30 @@
-# -*- coding:utf-8 -*-
 import flask_restful
-from flask import request, current_app
+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
 
-from controllers.console.apikey import api_key_list, api_key_fields
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal, marshal_with
-from werkzeug.exceptions import NotFound, Forbidden
 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 core.model_providers.error import LLMBadRequestError, ProviderTokenNotInitError
-from core.model_providers.models.entity.model_params import ModelType
+from core.model_runtime.entities.model_entities import ModelType
+from core.provider_manager import ProviderManager
+from core.rag.datasource.vdb.vector_type import VectorType
+from core.rag.extractor.entity.extract_setting import ExtractSetting
+from extensions.ext_database import db
 from fields.app_fields import related_app_list
 from fields.dataset_fields import dataset_detail_fields, dataset_query_detail_fields
 from fields.document_fields import document_status_fields
-from extensions.ext_database import db
-from models.dataset import DocumentSegment, Document
-from models.model import UploadFile, ApiToken
+from libs.login import login_required
+from models.dataset import Dataset, Document, DocumentSegment
+from models.model import ApiToken, UploadFile
 from services.dataset_service import DatasetService, DocumentService
-from services.provider_service import ProviderService
 
 
 def _validate_name(name):
@@ -48,23 +49,30 @@ class DatasetListApi(Resource):
         limit = request.args.get('limit', default=20, type=int)
         ids = request.args.getlist('ids')
         provider = request.args.get('provider', default="vendor")
+        search = request.args.get('keyword', default=None, type=str)
+        tag_ids = request.args.getlist('tag_ids')
+
         if ids:
             datasets, total = DatasetService.get_datasets_by_ids(ids, current_user.current_tenant_id)
         else:
             datasets, total = DatasetService.get_datasets(page, limit, provider,
-                                                          current_user.current_tenant_id, current_user)
+                                                          current_user.current_tenant_id, current_user, search, tag_ids)
 
         # check embedding setting
-        provider_service = ProviderService()
-        valid_model_list = provider_service.get_valid_model_list(current_user.current_tenant_id,
-                                                                 ModelType.EMBEDDINGS.value)
-        # if len(valid_model_list) == 0:
-        #     raise ProviderNotInitializeError(
-        #         f"No Embedding Model available. Please configure a valid provider "
-        #         f"in the Settings -> Model Provider.")
+        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 valid_model in valid_model_list:
-            model_names.append(f"{valid_model['model_name']}:{valid_model['model_provider']['provider_name']}")
+        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':
@@ -75,6 +83,7 @@ class DatasetListApi(Resource):
                     item['embedding_available'] = False
             else:
                 item['embedding_available'] = True
+
         response = {
             'data': data,
             'has_more': len(datasets) == limit,
@@ -93,12 +102,13 @@ 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:
@@ -130,13 +140,20 @@ class DatasetApi(Resource):
             raise Forbidden(str(e))
         data = marshal(dataset, dataset_detail_fields)
         # check embedding setting
-        provider_service = ProviderService()
-        # get valid model list
-        valid_model_list = provider_service.get_valid_model_list(current_user.current_tenant_id,
-                                                                 ModelType.EMBEDDINGS.value)
+        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 valid_model in valid_model_list:
-            model_names.append(f"{valid_model['model_name']}:{valid_model['model_provider']['provider_name']}")
+        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:
@@ -166,15 +183,20 @@ 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('embedding_model', type=str,
+                            location='json', help='Invalid embedding model.')
+        parser.add_argument('embedding_model_provider', type=str,
+                            location='json', help='Invalid embedding model provider.')
         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(
@@ -192,7 +214,7 @@ 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):
@@ -245,7 +267,9 @@ class DatasetIndexingEstimateApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument('info_list', type=dict, required=True, nullable=True, location='json')
         parser.add_argument('process_rule', type=dict, required=True, nullable=True, location='json')
-        parser.add_argument('indexing_technique', type=str, required=True, 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,
@@ -253,6 +277,7 @@ class DatasetIndexingEstimateApi(Resource):
         args = parser.parse_args()
         # validate args
         DocumentService.estimate_args_validate(args)
+        extract_settings = []
         if args['info_list']['data_source_type'] == 'upload_file':
             file_ids = args['info_list']['file_info_list']['file_ids']
             file_details = db.session.query(UploadFile).filter(
@@ -263,37 +288,45 @@ class DatasetIndexingEstimateApi(Resource):
             if file_details is None:
                 raise NotFound("File not found.")
 
-            indexing_runner = IndexingRunner()
-
-            try:
-                response = indexing_runner.file_indexing_estimate(current_user.current_tenant_id, file_details,
-                                                                  args['process_rule'], args['doc_form'],
-                                                                  args['doc_language'], args['dataset_id'],
-                                                                  args['indexing_technique'])
-            except LLMBadRequestError:
-                raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
-            except ProviderTokenNotInitError as ex:
-                raise ProviderNotInitializeError(ex.description)
+            if file_details:
+                for file_detail in file_details:
+                    extract_setting = ExtractSetting(
+                        datasource_type="upload_file",
+                        upload_file=file_detail,
+                        document_model=args['doc_form']
+                    )
+                    extract_settings.append(extract_setting)
         elif args['info_list']['data_source_type'] == 'notion_import':
-
-            indexing_runner = IndexingRunner()
-
-            try:
-                response = indexing_runner.notion_indexing_estimate(current_user.current_tenant_id,
-                                                                    args['info_list']['notion_info_list'],
-                                                                    args['process_rule'], args['doc_form'],
-                                                                    args['doc_language'], args['dataset_id'],
-                                                                    args['indexing_technique'])
-            except LLMBadRequestError:
-                raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
-            except ProviderTokenNotInitError as ex:
-                raise ProviderNotInitializeError(ex.description)
+            notion_info_list = args['info_list']['notion_info_list']
+            for notion_info in notion_info_list:
+                workspace_id = notion_info['workspace_id']
+                for page in notion_info['pages']:
+                    extract_setting = ExtractSetting(
+                        datasource_type="notion_import",
+                        notion_info={
+                            "notion_workspace_id": workspace_id,
+                            "notion_obj_id": page['page_id'],
+                            "notion_page_type": page['type'],
+                            "tenant_id": current_user.current_tenant_id
+                        },
+                        document_model=args['doc_form']
+                    )
+                    extract_settings.append(extract_setting)
         else:
             raise ValueError('Data source type not support')
+        indexing_runner = IndexingRunner()
+        try:
+            response = indexing_runner.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                         args['process_rule'], args['doc_form'],
+                                                         args['doc_language'], args['dataset_id'],
+                                                         args['indexing_technique'])
+        except LLMBadRequestError:
+            raise ProviderNotInitializeError(
+                "No Embedding Model available. Please configure a valid provider "
+                "in the Settings -> Model Provider.")
+        except ProviderTokenNotInitError as ex:
+            raise ProviderNotInitializeError(ex.description)
+
         return response, 200
 
 
@@ -376,7 +409,7 @@ class DatasetApiKeyApi(Resource):
     @marshal_with(api_key_fields)
     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()
 
         current_key_count = db.session.query(ApiToken). \
@@ -410,7 +443,7 @@ class DatasetApiDeleteApi(Resource):
         api_key_id = str(api_key_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()
 
         key = db.session.query(ApiToken). \
@@ -444,20 +477,22 @@ class DatasetRetrievalSettingApi(Resource):
     @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.")
+
+        match vector_type:
+            case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR | VectorType.CHROMA:
+                return {
+                    'retrieval_method': [
+                        'semantic_search'
+                    ]
+                }
+            case VectorType.QDRANT | VectorType.WEAVIATE:
+                return {
+                    'retrieval_method': [
+                        'semantic_search', 'full_text_search', 'hybrid_search'
+                    ]
+                }
+            case _:
+                raise ValueError(f"Unsupported vector db type {vector_type}.")
 
 
 class DatasetRetrievalSettingMockApi(Resource):
@@ -465,26 +500,44 @@ class DatasetRetrievalSettingMockApi(Resource):
     @login_required
     @account_initialization_required
     def get(self, vector_type):
+        match vector_type:
+            case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR | VectorType.CHROMA:
+                return {
+                    'retrieval_method': [
+                        'semantic_search'
+                    ]
+                }
+            case VectorType.QDRANT | VectorType.WEAVIATE:
+                return {
+                    'retrieval_method': [
+                        'semantic_search', 'full_text_search', 'hybrid_search'
+                    ]
+                }
+            case _:
+                raise ValueError(f"Unsupported vector db type {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.")
+
+class DatasetErrorDocs(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.")
+        results = DocumentService.get_error_documents_by_dataset_id(dataset_id_str)
+
+        return {
+            'data': [marshal(item, document_status_fields) for item in results],
+            'total': len(results)
+        }, 200
 
 
 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(DatasetErrorDocs, '/datasets/<uuid:dataset_id>/error-docs')
 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/controllers/console/datasets/datasets_document.py

@@ -1,34 +1,53 @@
-# -*- coding:utf-8 -*-
-from datetime import datetime
-from typing import List
+import logging
+from argparse import ArgumentTypeError
+from datetime import datetime, timezone
 
-from flask import request, current_app
+from flask import request
 from flask_login import current_user
-from libs.login import login_required
 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 transformers.hf_argparser import string_to_bool
+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.model_providers.error import ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError, \
-    LLMBadRequestError
-from core.model_providers.model_factory import ModelFactory
-from extensions.ext_redis import redis_client
-from fields.document_fields import document_with_segments_fields, document_fields, \
-    dataset_and_document_fields, document_status_fields
+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
 
@@ -54,7 +73,7 @@ class DocumentResource(Resource):
 
         return document
 
-    def get_batch_documents(self, dataset_id: str, batch: str) -> List[Document]:
+    def get_batch_documents(self, dataset_id: str, batch: str) -> list[Document]:
         dataset = DatasetService.get_dataset(dataset_id)
         if not dataset:
             raise NotFound('Dataset not found.')
@@ -80,7 +99,7 @@ class GetProcessRuleApi(Resource):
         req_data = request.args
 
         document_id = req_data.get('document_id')
-        
+
         # get default rules
         mode = DocumentService.DEFAULT_RULES['mode']
         rules = DocumentService.DEFAULT_RULES['rules']
@@ -124,7 +143,11 @@ class DatasetDocumentListApi(Resource):
         limit = request.args.get('limit', default=20, type=int)
         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)
+        # "yes", "true", "t", "y", "1" convert to True, while others convert to False.
+        try:
+            fetch = string_to_bool(request.args.get('fetch', default='false'))
+        except (ArgumentTypeError, ValueError, Exception) as e:
+            fetch = False
         dataset = DatasetService.get_dataset(dataset_id)
         if not dataset:
             raise NotFound('Dataset not found.')
@@ -194,6 +217,7 @@ class DatasetDocumentListApi(Resource):
     @login_required
     @account_initialization_required
     @marshal_with(documents_and_batch_fields)
+    @cloud_edition_billing_resource_check('vector_space')
     def post(self, dataset_id):
         dataset_id = str(dataset_id)
 
@@ -203,7 +227,7 @@ 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:
@@ -216,7 +240,7 @@ class DatasetDocumentListApi(Resource):
                             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('duplicate', type=bool, default=True, 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,
@@ -252,9 +276,10 @@ class DatasetInitApi(Resource):
     @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()
@@ -270,13 +295,15 @@ class DatasetInitApi(Resource):
         args = parser.parse_args()
         if args['indexing_technique'] == 'high_quality':
             try:
-                ModelFactory.get_embedding_model(
-                    tenant_id=current_user.current_tenant_id
+                model_manager = ModelManager()
+                model_manager.get_default_model_instance(
+                    tenant_id=current_user.current_tenant_id,
+                    model_type=ModelType.TEXT_EMBEDDING
                 )
-            except LLMBadRequestError:
+            except InvokeAuthorizationError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
 
@@ -343,16 +370,22 @@ class DocumentIndexingEstimateApi(DocumentResource):
                 if not file:
                     raise NotFound('File not found.')
 
+                extract_setting = ExtractSetting(
+                    datasource_type="upload_file",
+                    upload_file=file,
+                    document_model=document.doc_form
+                )
+
                 indexing_runner = IndexingRunner()
 
                 try:
-                    response = indexing_runner.file_indexing_estimate(current_user.current_tenant_id, [file],
-                                                                      data_process_rule_dict, None,
-                                                                      'English', dataset_id)
+                    response = indexing_runner.indexing_estimate(current_user.current_tenant_id, [extract_setting],
+                                                                 data_process_rule_dict, document.doc_form,
+                                                                 'English', dataset_id)
                 except LLMBadRequestError:
                     raise ProviderNotInitializeError(
-                        f"No Embedding Model available. Please configure a valid provider "
-                        f"in the Settings -> Model Provider.")
+                        "No Embedding Model available. Please configure a valid provider "
+                        "in the Settings -> Model Provider.")
                 except ProviderTokenNotInitError as ex:
                     raise ProviderNotInitializeError(ex.description)
 
@@ -367,9 +400,6 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
     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,
@@ -383,6 +413,7 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
         data_process_rule = documents[0].dataset_process_rule
         data_process_rule_dict = data_process_rule.to_dict()
         info_list = []
+        extract_settings = []
         for document in documents:
             if document.indexing_status in ['completed', 'error']:
                 raise DocumentAlreadyFinishedError()
@@ -405,42 +436,49 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
                 }
                 info_list.append(notion_info)
 
-        if dataset.data_source_type == 'upload_file':
-            file_details = db.session.query(UploadFile).filter(
-                UploadFile.tenant_id == current_user.current_tenant_id,
-                UploadFile.id in info_list
-            ).all()
+            if document.data_source_type == 'upload_file':
+                file_id = data_source_info['upload_file_id']
+                file_detail = db.session.query(UploadFile).filter(
+                    UploadFile.tenant_id == current_user.current_tenant_id,
+                    UploadFile.id == file_id
+                ).first()
 
-            if file_details is None:
-                raise NotFound("File not found.")
+                if file_detail is None:
+                    raise NotFound("File not found.")
 
+                extract_setting = ExtractSetting(
+                    datasource_type="upload_file",
+                    upload_file=file_detail,
+                    document_model=document.doc_form
+                )
+                extract_settings.append(extract_setting)
+
+            elif document.data_source_type == 'notion_import':
+                extract_setting = ExtractSetting(
+                    datasource_type="notion_import",
+                    notion_info={
+                        "notion_workspace_id": data_source_info['notion_workspace_id'],
+                        "notion_obj_id": data_source_info['notion_page_id'],
+                        "notion_page_type": data_source_info['type'],
+                        "tenant_id": current_user.current_tenant_id
+                    },
+                    document_model=document.doc_form
+                )
+                extract_settings.append(extract_setting)
+
+            else:
+                raise ValueError('Data source type not support')
             indexing_runner = IndexingRunner()
             try:
-                response = indexing_runner.file_indexing_estimate(current_user.current_tenant_id, file_details,
-                                                                  data_process_rule_dict, None,
-                                                                  'English', dataset_id)
+                response = indexing_runner.indexing_estimate(current_user.current_tenant_id, extract_settings,
+                                                             data_process_rule_dict, document.doc_form,
+                                                             'English', dataset_id)
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
-        elif dataset.data_source_type == 'notion_import':
-
-            indexing_runner = IndexingRunner()
-            try:
-                response = indexing_runner.notion_indexing_estimate(current_user.current_tenant_id,
-                                                                    info_list,
-                                                                    data_process_rule_dict,
-                                                                    None, 'English', dataset_id)
-            except LLMBadRequestError:
-                raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
-            except ProviderTokenNotInitError as ex:
-                raise ProviderNotInitializeError(ex.description)
-        else:
-            raise ValueError('Data source type not support')
         return response
 
 
@@ -551,7 +589,7 @@ class DocumentDetailApi(DocumentResource):
             }
         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,
@@ -595,7 +633,7 @@ 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":
@@ -603,7 +641,7 @@ 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()
 
@@ -659,7 +697,7 @@ 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:
@@ -683,7 +721,7 @@ class DocumentMetadataApi(DocumentResource):
                     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
@@ -693,6 +731,7 @@ 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)
@@ -705,7 +744,7 @@ class DocumentStatusApi(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()
 
         indexing_cache_key = 'document_{}_indexing'.format(document.id)
@@ -720,7 +759,7 @@ 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
@@ -737,9 +776,9 @@ class DocumentStatusApi(DocumentResource):
                 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
@@ -754,9 +793,9 @@ 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:
@@ -770,18 +809,10 @@ class DocumentStatusApi(DocumentResource):
             if not document.archived:
                 raise InvalidActionError('Document is not archived.')
 
-            # check document limit
-            if current_app.config['EDITION'] == 'CLOUD':
-                documents_count = DocumentService.get_tenant_documents_count()
-                total_count = documents_count + 1
-                tenant_document_count = int(current_app.config['TENANT_DOCUMENT_COUNT'])
-                if total_count > tenant_document_count:
-                    raise ValueError(f"All your documents have overed limit {tenant_document_count}.")
-
             document.archived = False
             document.archived_at = None
             document.archived_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
@@ -856,19 +887,69 @@ class DocumentRecoverApi(DocumentResource):
         return {'result': 'success'}, 204
 
 
-class DocumentLimitApi(DocumentResource):
+class DocumentRetryApi(DocumentResource):
     @setup_required
     @login_required
     @account_initialization_required
-    def get(self):
-        """get document limit"""
-        documents_count = DocumentService.get_tenant_documents_count()
-        tenant_document_count = int(current_app.config['TENANT_DOCUMENT_COUNT'])
+    def post(self, dataset_id):
+        """retry document."""
 
-        return {
-            'documents_count': documents_count,
-            'documents_limit': tenant_document_count
-                }, 200
+        parser = reqparse.RequestParser()
+        parser.add_argument('document_ids', type=list, required=True, nullable=False,
+                            location='json')
+        args = parser.parse_args()
+        dataset_id = str(dataset_id)
+        dataset = DatasetService.get_dataset(dataset_id)
+        retry_documents = []
+        if not dataset:
+            raise NotFound('Dataset not found.')
+        for document_id in args['document_ids']:
+            try:
+                document_id = str(document_id)
+
+                document = DocumentService.get_document(dataset.id, document_id)
+
+                # 404 if document not found
+                if document is None:
+                    raise NotFound("Document Not Exists.")
+
+                # 403 if document is archived
+                if DocumentService.check_archived(document):
+                    raise ArchivedDocumentImmutableError()
+
+                # 400 if document is completed
+                if document.indexing_status == 'completed':
+                    raise DocumentAlreadyFinishedError()
+                retry_documents.append(document)
+            except Exception as e:
+                logging.error(f"Document {document_id} retry failed: {str(e)}")
+                continue
+        # retry document
+        DocumentService.retry_document(dataset_id, retry_documents)
+
+        return {'result': 'success'}, 204
+
+
+class DocumentRenameApi(DocumentResource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @marshal_with(document_fields)
+    def post(self, dataset_id, document_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()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('name', type=str, required=True, nullable=False, location='json')
+        args = parser.parse_args()
+
+        try:
+            document = DocumentService.rename_document(dataset_id, document_id, args['name'])
+        except services.errors.document.DocumentIndexingError:
+            raise DocumentIndexingError('Cannot delete document during indexing.')
+
+        return document
 
 
 api.add_resource(GetProcessRuleApi, '/datasets/process-rule')
@@ -896,4 +977,6 @@ api.add_resource(DocumentStatusApi,
                  '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/status/<string:action>')
 api.add_resource(DocumentPauseApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/processing/pause')
 api.add_resource(DocumentRecoverApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/processing/resume')
-api.add_resource(DocumentLimitApi, '/datasets/limit')
+api.add_resource(DocumentRetryApi, '/datasets/<uuid:dataset_id>/retry')
+api.add_resource(DocumentRenameApi,
+                 '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/rename')

api/controllers/console/datasets/datasets_segments.py

@@ -1,30 +1,34 @@
-# -*- coding:utf-8 -*-
 import uuid
-from datetime import datetime
+from datetime import datetime, timezone
+
+import pandas as pd
 from flask import request
 from flask_login import current_user
-from flask_restful import Resource, reqparse, marshal
-from werkzeug.exceptions import NotFound, Forbidden
+from flask_restful import Resource, marshal, reqparse
+from werkzeug.exceptions import Forbidden, NotFound
 
 import services
 from controllers.console import api
 from controllers.console.app.error import ProviderNotInitializeError
 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 core.model_providers.error import LLMBadRequestError, ProviderTokenNotInitError
-from core.model_providers.model_factory import ModelFactory
-from libs.login import login_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 services.dataset_service import DatasetService, DocumentService, SegmentService
-from tasks.enable_segment_to_index_task import enable_segment_to_index_task
-from tasks.disable_segment_from_index_task import disable_segment_from_index_task
 from tasks.batch_create_segment_to_index_task import batch_create_segment_to_index_task
-import pandas as pd
+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):
@@ -114,6 +118,7 @@ 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)
@@ -122,7 +127,7 @@ class DatasetDocumentSegmentApi(Resource):
         # 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:
@@ -132,15 +137,17 @@ class DatasetDocumentSegmentApi(Resource):
         if dataset.indexing_technique == 'high_quality':
             # check embedding model setting
             try:
-                ModelFactory.get_embedding_model(
+                model_manager = ModelManager()
+                model_manager.get_model_instance(
                     tenant_id=current_user.current_tenant_id,
-                    model_provider_name=dataset.embedding_model_provider,
-                    model_name=dataset.embedding_model
+                    provider=dataset.embedding_model_provider,
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=dataset.embedding_model
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
 
@@ -152,6 +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:
@@ -182,7 +192,7 @@ 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()
 
@@ -200,6 +210,8 @@ 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)
@@ -212,20 +224,22 @@ class DatasetDocumentSegmentAddApi(Resource):
         if not document:
             raise NotFound('Document 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()
         # check embedding model setting
         if dataset.indexing_technique == 'high_quality':
             try:
-                ModelFactory.get_embedding_model(
+                model_manager = ModelManager()
+                model_manager.get_model_instance(
                     tenant_id=current_user.current_tenant_id,
-                    model_provider_name=dataset.embedding_model_provider,
-                    model_name=dataset.embedding_model
+                    provider=dataset.embedding_model_provider,
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=dataset.embedding_model
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
         try:
@@ -250,6 +264,7 @@ 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)
@@ -266,15 +281,17 @@ class DatasetDocumentSegmentUpdateApi(Resource):
         if dataset.indexing_technique == 'high_quality':
             # check embedding model setting
             try:
-                ModelFactory.get_embedding_model(
+                model_manager = ModelManager()
+                model_manager.get_model_instance(
                     tenant_id=current_user.current_tenant_id,
-                    model_provider_name=dataset.embedding_model_provider,
-                    model_name=dataset.embedding_model
+                    provider=dataset.embedding_model_provider,
+                    model_type=ModelType.TEXT_EMBEDDING,
+                    model=dataset.embedding_model
                 )
             except LLMBadRequestError:
                 raise ProviderNotInitializeError(
-                    f"No Embedding Model available. Please configure a valid provider "
-                    f"in the Settings -> Model Provider.")
+                    "No Embedding Model available. Please configure a valid provider "
+                    "in the Settings -> Model Provider.")
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
             # check segment
@@ -286,7 +303,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
         if not segment:
             raise NotFound('Segment 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:
             DatasetService.check_dataset_permission(dataset, current_user)
@@ -330,7 +347,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
         if not segment:
             raise NotFound('Segment 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:
             DatasetService.check_dataset_permission(dataset, current_user)
@@ -344,6 +361,8 @@ 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)

api/controllers/console/datasets/file.py

@@ -1,19 +1,20 @@
-from flask import request, current_app
+from flask import current_app, request
 from flask_login import current_user
-
-import services
-from libs.login import login_required
 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 fields.file_fields import upload_config_fields, file_fields
-
-from services.file_service import FileService
+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
 
 PREVIEW_WORDS_LIMIT = 3000
 
@@ -38,6 +39,7 @@ class FileApi(Resource):
     @login_required
     @account_initialization_required
     @marshal_with(file_fields)
+    @cloud_edition_billing_resource_check(resource='documents')
     def post(self):
 
         # get file from request
@@ -69,5 +71,16 @@ class FilePreviewApi(Resource):
         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

@@ -1,20 +1,29 @@
 import logging
 
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal
-from werkzeug.exceptions import InternalServerError, NotFound, Forbidden
+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
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
-from core.model_providers.error import ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError, \
-    LLMBadRequestError
+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
 
@@ -36,10 +45,6 @@ class HitTestingApi(Resource):
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
 
-        # only high quality dataset can be used for hit testing
-        if dataset.indexing_technique != 'high_quality':
-            raise HighQualityDatasetOnlyError()
-
         parser = reqparse.RequestParser()
         parser.add_argument('query', type=str, location='json')
         parser.add_argument('retrieval_model', type=dict, required=False, location='json')
@@ -67,8 +72,10 @@ class HitTestingApi(Resource):
             raise ProviderModelCurrentlyNotSupportError()
         except LLMBadRequestError:
             raise ProviderNotInitializeError(
-                f"No Embedding Model or Reranking Model available. Please configure a valid provider "
-                f"in the Settings -> Model Provider.")
+                "No Embedding Model or Reranking Model available. Please configure a valid provider "
+                "in the Settings -> Model Provider.")
+        except InvokeError as e:
+            raise CompletionRequestError(e.description)
         except ValueError as e:
             raise ValueError(str(e))
         except Exception as e:

api/controllers/console/error.py

@@ -13,6 +13,16 @@ 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'

api/controllers/console/explore/audio.py

@@ -1,4 +1,3 @@
-# -*- coding:utf-8 -*-
 import logging
 
 from flask import request
@@ -6,33 +5,40 @@ from werkzeug.exceptions import InternalServerError
 
 import services
 from controllers.console import api
-from controllers.console.app.error import AppUnavailableError, ProviderNotInitializeError, \
-    ProviderQuotaExceededError, ProviderModelCurrentlyNotSupportError, CompletionRequestError, \
-    NoAudioUploadedError, AudioTooLargeError, \
-    UnsupportedAudioTypeError, ProviderNotSupportSpeechToTextError
+from controllers.console.app.error import (
+    AppUnavailableError,
+    AudioTooLargeError,
+    CompletionRequestError,
+    NoAudioUploadedError,
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderNotSupportSpeechToTextError,
+    ProviderQuotaExceededError,
+    UnsupportedAudioTypeError,
+)
 from controllers.console.explore.wraps import InstalledAppResource
-from core.model_providers.error import LLMBadRequestError, LLMAPIUnavailableError, LLMAuthorizationError, LLMAPIConnectionError, \
-    LLMRateLimitError, ProviderTokenNotInitError, QuotaExceededError, ModelCurrentlyNotSupportError
+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 NoAudioUploadedServiceError, AudioTooLargeServiceError, \
-    UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
-from models.model import AppModelConfig
+from services.errors.audio import (
+    AudioTooLargeServiceError,
+    NoAudioUploadedServiceError,
+    ProviderNotSupportSpeechToTextServiceError,
+    UnsupportedAudioTypeServiceError,
+)
 
 
 class ChatAudioApi(InstalledAppResource):
     def post(self, installed_app):
         app_model = installed_app.app
-        app_model_config: AppModelConfig = app_model.app_model_config
-
-        if not app_model_config.speech_to_text_dict['enabled']:
-            raise AppUnavailableError()
 
         file = request.files['file']
 
         try:
-            response = AudioService.transcript(
-                tenant_id=app_model.tenant_id,
+            response = AudioService.transcript_asr(
+                app_model=app_model,
                 file=file,
+                end_user=None
             )
 
             return response
@@ -53,14 +59,52 @@ class ChatAudioApi(InstalledAppResource):
             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:
             logging.exception("internal server error.")
             raise InternalServerError()
-        
 
-api.add_resource(ChatAudioApi, '/installed-apps/<uuid:installed_app_id>/audio-to-text', endpoint='installed_app_audio')
+
+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['voice'] if request.form.get('voice') else app_model.app_model_config.text_to_speech_dict.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

@@ -1,26 +1,31 @@
-# -*- coding:utf-8 -*-
-import json
 import logging
-from datetime import datetime
-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.model_providers.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
@@ -42,19 +47,19 @@ class CompletionApi(InstalledAppResource):
         streaming = args['response_mode'] == 'streaming'
         args['auto_generate_name'] = False
 
-        installed_app.last_used_at = datetime.utcnow()
+        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:
@@ -68,9 +73,8 @@ class CompletionApi(InstalledAppResource):
             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:
@@ -84,7 +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
 
@@ -92,34 +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('files', type=list, required=False, location='json')
-        parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
         parser.add_argument('conversation_id', type=uuid_value, location='json')
         parser.add_argument('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.utcnow()
+        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:
@@ -133,9 +136,8 @@ class ChatApi(InstalledAppResource):
             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:
@@ -146,48 +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 as ex:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).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

@@ -1,16 +1,17 @@
-# -*- 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 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 TimestampField, uuid_value
+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
 
 
@@ -19,7 +20,8 @@ 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()
@@ -38,8 +40,8 @@ class ConversationListApi(InstalledAppResource):
                 user=current_user,
                 last_id=args['last_id'],
                 limit=args['limit'],
+                invoke_from=InvokeFrom.EXPLORE,
                 pinned=pinned,
-                exclude_debug_conversation=True
             )
         except LastConversationNotExistsError:
             raise NotFound("Last Conversation Not Exists.")
@@ -48,7 +50,8 @@ 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)
@@ -66,14 +69,15 @@ class ConversationRenameApi(InstalledAppResource):
     @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=False, location='json')
-        parser.add_argument('auto_generate', type=bool, required=False, default='False', location='json')
+        parser.add_argument('auto_generate', type=bool, required=False, default=False, location='json')
         args = parser.parse_args()
 
         try:
@@ -92,7 +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)
@@ -108,7 +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

@@ -1,17 +1,16 @@
-# -*- coding:utf-8 -*-
-from datetime import datetime
+from datetime import datetime, timezone
 
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, reqparse, marshal_with, inputs
+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 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
 
@@ -34,8 +33,8 @@ 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
         ]
@@ -47,6 +46,7 @@ class InstalledAppsListApi(Resource):
 
     @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')
@@ -81,7 +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

@@ -1,25 +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.model_providers.error import LLMRateLimitError, LLMBadRequestError, LLMAuthorizationError, LLMAPIConnectionError, \
-    ProviderTokenNotInitError, LLMAPIUnavailableError, QuotaExceededError, ModelCurrentlyNotSupportError
+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.helper import uuid_value, TimestampField
-from services.completion_service import CompletionService
+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
@@ -27,12 +35,12 @@ from services.message_service import MessageService
 
 
 class MessageListApi(InstalledAppResource):
-
     @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()
@@ -49,7 +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
@@ -83,8 +90,14 @@ 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:
@@ -95,9 +108,8 @@ class MessageMoreLikeThisApi(InstalledAppResource):
             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:
@@ -105,42 +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 as ex:
-                yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).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)
 
@@ -148,7 +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")
@@ -162,9 +145,8 @@ class MessageSuggestedQuestionApi(InstalledAppResource):
             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

@@ -1,11 +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 InstalledApp
+from models.model import AppMode, InstalledApp
+from services.app_service import AppService
 
 
 class AppParameterApi(InstalledAppResource):
@@ -29,7 +30,9 @@ class AppParameterApi(InstalledAppResource):
         '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,
@@ -41,22 +44,52 @@ class AppParameterApi(InstalledAppResource):
     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,
-            'speech_to_text': app_model_config.speech_to_text_dict,
-            'retriever_resource': app_model_config.retriever_resource_dict,
-            'more_like_this': app_model_config.more_like_this_dict,
-            'user_input_form': app_model_config.user_input_form_list,
-            'sensitive_word_avoidance': app_model_config.sensitive_word_avoidance_dict,
-            'file_upload': app_model_config.file_upload_dict,
+            '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

@@ -1,15 +1,11 @@
-# -*- coding:utf-8 -*-
 from flask_login import current_user
-from libs.login import login_required
-from flask_restful import Resource, fields, marshal_with
-from sqlalchemy import and_
+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,
@@ -25,12 +21,10 @@ recommended_app_fields = {
     'description': fields.String(attribute='description'),
     'copyright': fields.String,
     'privacy_policy': fields.String,
+    'custom_disclaimer': 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 = {
@@ -44,95 +38,27 @@ class RecommendedAppListApi(Resource):
     @account_initialization_required
     @marshal_with(recommended_app_list_fields)
     def get(self):
-        language_prefix = current_user.interface_language if current_user.interface_language else 'en-US'
+        # language args
+        parser = reqparse.RequestParser()
+        parser.add_argument('language', type=str, location='args')
+        args = parser.parse_args()
 
-        recommended_apps = db.session.query(RecommendedApp).filter(
-            RecommendedApp.is_listed == True,
-            RecommendedApp.language == language_prefix
-        ).all()
+        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]
 
-        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
-
-            app = recommended_app.app
-            if not app or not app.is_public:
-                continue
-
-            site = app.site
-            if not site:
-                continue
-
-            recommended_app_result = {
-                'id': recommended_app.id,
-                'app': app,
-                'app_id': recommended_app.app_id,
-                'description': site.description,
-                'copyright': site.copyright,
-                'privacy_policy': site.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

@@ -1,15 +1,15 @@
 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
-from fields.conversation_fields import message_file_fields
 
 feedback_fields = {
     'rating': fields.String

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

@@ -1,12 +1,12 @@
-from flask_login import current_user
-from libs.login import login_required
-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

@@ -1,14 +1,14 @@
-from flask_restful import Resource, reqparse, marshal_with
 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 fields.api_based_extension_fields import api_based_extension_fields
-from services.code_based_extension_service import CodeBasedExtensionService
 from services.api_based_extension_service import APIBasedExtensionService
+from services.code_based_extension_service import CodeBasedExtensionService
 
 
 class CodeBasedExtensionAPI(Resource):

api/controllers/console/feature.py

@@ -0,0 +1,28 @@
+from flask_login import current_user
+from flask_restful import Resource
+
+from libs.login import login_required
+from services.feature_service import FeatureService
+
+from . import api
+from .setup import setup_required
+from .wraps import account_initialization_required, cloud_utm_record
+
+
+class FeatureApi(Resource):
+
+    @setup_required
+    @login_required
+    @account_initialization_required
+    @cloud_utm_record
+    def get(self):
+        return FeatureService.get_features(current_user.current_tenant_id).dict()
+
+
+class SystemFeatureApi(Resource):
+    def get(self):
+        return FeatureService.get_system_features().dict()
+
+
+api.add_resource(FeatureApi, '/features')
+api.add_resource(SystemFeatureApi, '/system-features')

api/controllers/console/init_validate.py

@@ -0,0 +1,49 @@
+import os
+
+from flask import current_app, session
+from flask_restful import Resource, reqparse
+
+from libs.helper import str_len
+from models.model import DifySetup
+from services.account_service import TenantService
+
+from . import api
+from .error import AlreadySetupError, InitValidateFailedError
+from .wraps import only_edition_self_hosted
+
+
+class InitValidateAPI(Resource):
+
+    def get(self):
+        init_status = get_init_validate_status()
+        if init_status:
+            return { 'status': 'finished' }
+        return {'status': 'not_started' }
+
+    @only_edition_self_hosted
+    def post(self):
+        # is tenant created
+        tenant_count = TenantService.get_tenant_count()
+        if tenant_count > 0:
+            raise AlreadySetupError()
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('password', type=str_len(30),
+                            required=True, location='json')
+        input_password = parser.parse_args()['password']
+
+        if input_password != os.environ.get('INIT_PASSWORD'):
+            session['is_init_validated'] = False
+            raise InitValidateFailedError()
+            
+        session['is_init_validated'] = True
+        return {'result': 'success'}, 201
+
+def get_init_validate_status():
+    if current_app.config['EDITION'] == 'SELF_HOSTED':
+        if os.environ.get('INIT_PASSWORD'):
+            return session.get('is_init_validated') or DifySetup.query.first()
+    
+    return True
+
+api.add_resource(InitValidateAPI, '/init')