one example of Session (#24135)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: -LAN- <laipz8200@outlook.com>

.claude/settings.json.example

@@ -0,0 +1,19 @@
+{
+    "permissions": {
+      "allow": [],
+      "deny": []
+    },
+    "env": {
+      "__comment": "Environment variables for MCP servers. Override in .claude/settings.local.json with actual values.",
+      "GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
+    },
+    "enabledMcpjsonServers": [
+      "context7",
+      "sequential-thinking",
+      "github",
+      "fetch",
+      "playwright",
+      "ide"
+    ],
+    "enableAllProjectMcpServers": true
+  }

.devcontainer/Dockerfile

@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/devcontainers/python:3.12
+FROM mcr.microsoft.com/devcontainers/python:3.12-bullseye
 
 RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
      && apt-get -y install libgmp-dev libmpfr-dev libmpc-dev

.devcontainer/README.md

@@ -1,23 +1,26 @@
 # 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
+
 [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/langgenius/dify)
 
 you can simply click the button above to open this project in GitHub Codespaces.
 
 For more info, check out the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace).
 
-
 ## VS Code Dev Containers
+
 [![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/langgenius/dify)
 
 if you have VS Code installed, you can click the button above to open this project in VS Code Dev Containers.
 
 You can learn more in the [Dev Containers documentation](https://code.visualstudio.com/docs/devcontainers/containers).
 
-
 ## Pros of Devcontainer
+
 Unified Development Environment: By using devcontainers, you can ensure that all developers are developing in the same environment, reducing the occurrence of "it works on my machine" type of issues.
 
 Quick Start: New developers can set up their development environment in a few simple steps, without spending a lot of time on environment configuration.
@@ -25,11 +28,13 @@ Quick Start: New developers can set up their development environment in a few si
 Isolation: Devcontainers isolate your project from your host operating system, reducing the chance of OS updates or other application installations impacting the development environment.
 
 ## Cons of Devcontainer
+
 Learning Curve: For developers unfamiliar with Docker and VS Code, using devcontainers may be somewhat complex.
 
 Performance Impact: While usually minimal, programs running inside a devcontainer may be slightly slower than those running directly on the host.
 
 ## Troubleshooting
+
 if you see such error message when you open this project in codespaces:
 ![Alt text](troubleshooting.png)
 

.devcontainer/post_create_command.sh

@@ -1,15 +1,16 @@
 #!/bin/bash
+WORKSPACE_ROOT=$(pwd)
 
-npm add -g pnpm@10.13.1
+corepack enable
 cd web && pnpm install
 pipx install uv
 
-echo 'alias start-api="cd /workspaces/dify/api && uv run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
-echo 'alias start-worker="cd /workspaces/dify/api && uv run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
-echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc
-echo 'alias start-web-prod="cd /workspaces/dify/web && pnpm build && pnpm start"' >> ~/.bashrc
-echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env up -d"' >> ~/.bashrc
-echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down"' >> ~/.bashrc
+echo "alias start-api=\"cd $WORKSPACE_ROOT/api && uv run python -m flask run --host 0.0.0.0 --port=5001 --debug\"" >> ~/.bashrc
+echo "alias start-worker=\"cd $WORKSPACE_ROOT/api && uv run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage\"" >> ~/.bashrc
+echo "alias start-web=\"cd $WORKSPACE_ROOT/web && pnpm dev\"" >> ~/.bashrc
+echo "alias start-web-prod=\"cd $WORKSPACE_ROOT/web && pnpm build && pnpm start\"" >> ~/.bashrc
+echo "alias start-containers=\"cd $WORKSPACE_ROOT/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env up -d\"" >> ~/.bashrc
+echo "alias stop-containers=\"cd $WORKSPACE_ROOT/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down\"" >> ~/.bashrc
 
 source /home/vscode/.bashrc
 

.github/CODE_OF_CONDUCT.md

@@ -17,27 +17,25 @@ diverse, inclusive, and healthy community.
 Examples of behavior that contributes to a positive environment for our
 community include:
 
-* Demonstrating empathy and kindness toward other people
-* Being respectful of differing opinions, viewpoints, and experiences
-* Giving and gracefully accepting constructive feedback
-* Accepting responsibility and apologizing to those affected by our mistakes,
+- Demonstrating empathy and kindness toward other people
+- Being respectful of differing opinions, viewpoints, and experiences
+- Giving and gracefully accepting constructive feedback
+- Accepting responsibility and apologizing to those affected by our mistakes,
   and learning from the experience
-* Focusing on what is best not just for us as individuals, but for the
+- Focusing on what is best not just for us as individuals, but for the
   overall community
 
 Examples of unacceptable behavior include:
 
-* The use of sexualized language or imagery, and sexual attention or
+- The use of sexualized language or imagery, and sexual attention or
   advances of any kind
-* Trolling, insulting or derogatory comments, and personal or political attacks
-* Public or private harassment
-* Publishing others' private information, such as a physical or email
+- Trolling, insulting or derogatory comments, and personal or political attacks
+- Public or private harassment
+- Publishing others' private information, such as a physical or email
   address, without their explicit permission
-* Other conduct which could reasonably be considered inappropriate in a
+- Other conduct which could reasonably be considered inappropriate in a
   professional setting
 
 ## Language Policy
 
 To facilitate clear and effective communication, all discussions, comments, documentation, and pull requests in this project should be conducted in English. This ensures that all contributors can participate and collaborate effectively.
-
-

.github/actions/setup-uv/action.yml

@@ -1,34 +0,0 @@
-name: Setup UV and Python
-
-inputs:
-  python-version:
-    description: Python version to use and the UV installed with
-    required: true
-    default: '3.12'
-  uv-version:
-    description: UV version to set up
-    required: true
-    default: '~=0.7.11'
-  uv-lockfile:
-    description: Path to the UV lockfile to restore cache from
-    required: true
-    default: ''
-  enable-cache:
-    required: true
-    default: true
-
-runs:
-  using: composite
-  steps:
-    - name: Set up Python ${{ inputs.python-version }}
-      uses: actions/setup-python@v5
-      with:
-        python-version: ${{ inputs.python-version }}
-
-    - name: Install uv
-      uses: astral-sh/setup-uv@v5
-      with:
-        version: ${{ inputs.uv-version }}
-        python-version: ${{ inputs.python-version }}
-        enable-cache: ${{ inputs.enable-cache }}
-        cache-dependency-glob: ${{ inputs.uv-lockfile }}

.github/dependabot.yml

@@ -0,0 +1,12 @@
+version: 2
+updates:
+  - package-ecosystem: "npm"
+    directory: "/web"
+    schedule:
+      interval: "weekly"
+    open-pull-requests-limit: 2
+  - package-ecosystem: "uv"
+    directory: "/api"
+    schedule:
+      interval: "weekly"
+    open-pull-requests-limit: 2

.github/pull_request_template.md

@@ -1,8 +1,8 @@
 > [!IMPORTANT]
 >
 > 1. Make sure you have read our [contribution guidelines](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)
-> 2. Ensure there is an associated issue and you have been assigned to it
-> 3. Use the correct syntax to link this PR: `Fixes #<issue number>`.
+> 1. Ensure there is an associated issue and you have been assigned to it
+> 1. Use the correct syntax to link this PR: `Fixes #<issue number>`.
 
 ## Summary
 
@@ -12,7 +12,7 @@
 
 | Before | After |
 |--------|-------|
-| ...    | ...   |
+| ... | ... |
 
 ## Checklist
 

.github/workflows/api-tests.yml

@@ -1,13 +1,7 @@
 name: Run Pytest
 
 on:
-  pull_request:
-    branches:
-      - main
-    paths:
-      - api/**
-      - docker/**
-      - .github/workflows/api-tests.yml
+  workflow_call:
 
 concurrency:
   group: api-tests-${{ github.head_ref || github.run_id }}
@@ -33,10 +27,11 @@ jobs:
           persist-credentials: false
 
       - name: Setup UV and Python
-        uses: ./.github/actions/setup-uv
+        uses: astral-sh/setup-uv@v6
         with:
+          enable-cache: true
           python-version: ${{ matrix.python-version }}
-          uv-lockfile: api/uv.lock
+          cache-dependency-glob: api/uv.lock
 
       - name: Check UV lockfile
         run: uv lock --project api --check
@@ -48,6 +43,11 @@ jobs:
         run: |
           uv run --project api bash dev/pytest/pytest_unit_tests.sh
 
+      - name: Run pyrefly check
+        run: |
+          cd api
+          uv add --dev pyrefly
+          uv run pyrefly check || true
       - name: Coverage Summary
         run: |
           set -x
@@ -62,15 +62,6 @@ jobs:
       - name: Run dify config tests
         run: uv run --project api dev/pytest/pytest_config_tests.py
 
-      - name: MyPy Cache
-        uses: actions/cache@v4
-        with:
-          path: api/.mypy_cache
-          key: mypy-${{ matrix.python-version }}-${{ runner.os }}-${{ hashFiles('api/uv.lock') }}
-
-      - name: Run MyPy Checks
-        run: dev/mypy-check
-
       - name: Set up dotenvs
         run: |
           cp docker/.env.example docker/.env

.github/workflows/autofix.yml

@@ -1,9 +1,7 @@
 name: autofix.ci
 on:
-  workflow_call:
   pull_request:
-  push:
-    branches: [ "main" ]
+    branches: ["main"]
 permissions:
   contents: read
 
@@ -15,14 +13,67 @@ jobs:
       - uses: actions/checkout@v4
 
       # Use uv to ensure we have the same ruff version in CI and locally.
-      - uses: astral-sh/setup-uv@7edac99f961f18b581bbd960d59d049f04c0002f 
+      - uses: astral-sh/setup-uv@v6
+        with:
+          python-version: "3.12"
       - run: |
           cd api
           uv sync --dev
           # Fix lint errors
-          uv run ruff check --fix-only .
+          uv run ruff check --fix .
           # Format code
-          uv run ruff format .
+          uv run ruff format ..
+
+      - name: ast-grep
+        run: |
+          uvx --from ast-grep-cli sg --pattern 'db.session.query($WHATEVER).filter($HERE)' --rewrite 'db.session.query($WHATEVER).where($HERE)' -l py --update-all
+          uvx --from ast-grep-cli sg --pattern 'session.query($WHATEVER).filter($HERE)' --rewrite 'session.query($WHATEVER).where($HERE)' -l py --update-all
+          # Convert Optional[T] to T | None (ignoring quoted types)
+          cat > /tmp/optional-rule.yml << 'EOF'
+          id: convert-optional-to-union
+          language: python
+          rule:
+            kind: generic_type
+            all:
+              - has:
+                  kind: identifier
+                  pattern: Optional
+              - has:
+                  kind: type_parameter
+                  has:
+                    kind: type
+                    pattern: $T
+          fix: $T | None
+          EOF
+          uvx --from ast-grep-cli sg scan --inline-rules "$(cat /tmp/optional-rule.yml)" --update-all
+          # Fix forward references that were incorrectly converted (Python doesn't support "Type" | None syntax)
+          find . -name "*.py" -type f -exec sed -i.bak -E 's/"([^"]+)" \| None/Optional["\1"]/g; s/'"'"'([^'"'"']+)'"'"' \| None/Optional['"'"'\1'"'"']/g' {} \;
+          find . -name "*.py.bak" -type f -delete
+
+      - name: mdformat
+        run: |
+          uvx mdformat .
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          package_json_file: web/package.json
+          run_install: false
+
+      - name: Setup NodeJS
+        uses: actions/setup-node@v4
+        with:
+          node-version: 22
+          cache: pnpm
+          cache-dependency-path: ./web/package.json
+
+      - name: Web dependencies
+        working-directory: ./web
+        run: pnpm install --frozen-lockfile
+
+      - name: oxlint
+        working-directory: ./web
+        run: |
+          pnpx oxlint --fix
 
       - uses: autofix-ci/action@635ffb0c9798bd160680f18fd73371e355b85f27
-

.github/workflows/build-push.yml

@@ -8,6 +8,7 @@ on:
       - "deploy/enterprise"
       - "build/**"
       - "release/e-*"
+      - "hotfix/**"
     tags:
       - "*"
 

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

@@ -1,13 +1,7 @@
 name: DB Migration Test
 
 on:
-  pull_request:
-    branches:
-      - main
-      - plugins/beta
-    paths:
-      - api/migrations/**
-      - .github/workflows/db-migration-test.yml
+  workflow_call:
 
 concurrency:
   group: db-migration-test-${{ github.ref }}
@@ -25,12 +19,20 @@ jobs:
           persist-credentials: false
 
       - name: Setup UV and Python
-        uses: ./.github/actions/setup-uv
+        uses: astral-sh/setup-uv@v6
         with:
-          uv-lockfile: api/uv.lock
+          enable-cache: true
+          python-version: "3.12"
+          cache-dependency-glob: api/uv.lock
 
       - name: Install dependencies
         run: uv sync --project api
+      - name: Ensure Offline migration are supported
+        run: |
+          # upgrade
+          uv run --directory api flask db upgrade 'base:head' --sql
+          # downgrade
+          uv run --directory api flask db downgrade 'head:base' --sql
 
       - name: Prepare middleware env
         run: |

.github/workflows/deploy-dev.yml

@@ -12,12 +12,13 @@ jobs:
   deploy:
     runs-on: ubuntu-latest
     if: |
-      github.event.workflow_run.conclusion == 'success'
+      github.event.workflow_run.conclusion == 'success' &&
+      github.event.workflow_run.head_branch == 'deploy/dev'
     steps:
       - name: Deploy to server
         uses: appleboy/ssh-action@v0.1.8
         with:
-          host: ${{ secrets.SSH_HOST }}
+          host: ${{ secrets.RAG_SSH_HOST }}
           username: ${{ secrets.SSH_USER }}
           key: ${{ secrets.SSH_PRIVATE_KEY }}
           script: |

.github/workflows/deploy-enterprise.yml

@@ -19,11 +19,23 @@ jobs:
       github.event.workflow_run.head_branch == 'deploy/enterprise'
 
     steps:
-      - name: Deploy to server
-        uses: appleboy/ssh-action@v0.1.8
-        with:
-          host: ${{ secrets.ENTERPRISE_SSH_HOST }}
-          username: ${{ secrets.ENTERPRISE_SSH_USER }}
-          password: ${{ secrets.ENTERPRISE_SSH_PASSWORD }}
-          script: |
-            ${{ vars.ENTERPRISE_SSH_SCRIPT || secrets.ENTERPRISE_SSH_SCRIPT }}
+      - name: trigger deployments
+        env:
+          DEV_ENV_ADDRS: ${{ vars.DEV_ENV_ADDRS }}
+          DEPLOY_SECRET: ${{ secrets.DEPLOY_SECRET }}
+        run: |
+          IFS=',' read -ra ENDPOINTS <<< "${DEV_ENV_ADDRS:-}"
+          BODY='{"project":"dify-api","tag":"deploy-enterprise"}'
+
+          for ENDPOINT in "${ENDPOINTS[@]}"; do
+            ENDPOINT="$(echo "$ENDPOINT" | xargs)"
+            [ -z "$ENDPOINT" ] && continue
+
+            API_SIGNATURE=$(printf '%s' "$BODY" | openssl dgst -sha256 -hmac "$DEPLOY_SECRET" | awk '{print "sha256="$2}')
+
+            curl -sSf -X POST \
+              -H "Content-Type: application/json" \
+              -H "X-Hub-Signature-256: $API_SIGNATURE" \
+              -d "$BODY" \
+              "$ENDPOINT"
+          done

.github/workflows/main-ci.yml

@@ -0,0 +1,78 @@
+name: Main CI Pipeline
+
+on:
+  pull_request:
+    branches: ["main"]
+  push:
+    branches: ["main"]
+
+permissions:
+  contents: write
+  pull-requests: write
+  checks: write
+  statuses: write
+
+concurrency:
+  group: main-ci-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  # Check which paths were changed to determine which tests to run
+  check-changes:
+    name: Check Changed Files
+    runs-on: ubuntu-latest
+    outputs:
+      api-changed: ${{ steps.changes.outputs.api }}
+      web-changed: ${{ steps.changes.outputs.web }}
+      vdb-changed: ${{ steps.changes.outputs.vdb }}
+      migration-changed: ${{ steps.changes.outputs.migration }}
+    steps:
+      - uses: actions/checkout@v4
+      - uses: dorny/paths-filter@v3
+        id: changes
+        with:
+          filters: |
+            api:
+              - 'api/**'
+              - 'docker/**'
+              - '.github/workflows/api-tests.yml'
+            web:
+              - 'web/**'
+            vdb:
+              - 'api/core/rag/datasource/**'
+              - 'docker/**'
+              - '.github/workflows/vdb-tests.yml'
+              - 'api/uv.lock'
+              - 'api/pyproject.toml'
+            migration:
+              - 'api/migrations/**'
+              - '.github/workflows/db-migration-test.yml'
+
+  # Run tests in parallel
+  api-tests:
+    name: API Tests
+    needs: check-changes
+    if: needs.check-changes.outputs.api-changed == 'true'
+    uses: ./.github/workflows/api-tests.yml
+
+  web-tests:
+    name: Web Tests
+    needs: check-changes
+    if: needs.check-changes.outputs.web-changed == 'true'
+    uses: ./.github/workflows/web-tests.yml
+
+  style-check:
+    name: Style Check
+    uses: ./.github/workflows/style.yml
+
+  vdb-tests:
+    name: VDB Tests
+    needs: check-changes
+    if: needs.check-changes.outputs.vdb-changed == 'true'
+    uses: ./.github/workflows/vdb-tests.yml
+
+  db-migration-test:
+    name: DB Migration Test
+    needs: check-changes
+    if: needs.check-changes.outputs.migration-changed == 'true'
+    uses: ./.github/workflows/db-migration-test.yml

.github/workflows/style.yml

@@ -1,9 +1,7 @@
 name: Style check
 
 on:
-  pull_request:
-    branches:
-      - main
+  workflow_call:
 
 concurrency:
   group: style-${{ github.head_ref || github.run_id }}
@@ -14,7 +12,6 @@ permissions:
   statuses: write
   contents: read
 
-
 jobs:
   python-style:
     name: Python Style
@@ -36,30 +33,32 @@ jobs:
 
       - name: Setup UV and Python
         if: steps.changed-files.outputs.any_changed == 'true'
-        uses: ./.github/actions/setup-uv
+        uses: astral-sh/setup-uv@v6
         with:
-          uv-lockfile: api/uv.lock
           enable-cache: false
+          python-version: "3.12"
+          cache-dependency-glob: api/uv.lock
 
       - name: Install dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
         run: uv sync --project api --dev
 
-      - name: Ruff check
+      - name: Run Import Linter
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: |
-          uv run --directory api ruff --version
-          uv run --directory api ruff check ./
-          uv run --directory api ruff format --check ./
+        run: uv run --directory api --dev lint-imports
+
+      - name: Run Basedpyright Checks
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: dev/basedpyright-check
+
+      - name: Run Mypy Type Checks
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: uv --directory api run mypy --exclude-gitignore --exclude 'tests/' --exclude 'migrations/' --check-untyped-defs --disable-error-code=import-untyped .
 
       - name: Dotenv check
         if: steps.changed-files.outputs.any_changed == 'true'
         run: uv run --project 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
@@ -82,7 +81,7 @@ jobs:
       - name: Install pnpm
         uses: pnpm/action-setup@v4
         with:
-          version: 10
+          package_json_file: web/package.json
           run_install: false
 
       - name: Setup NodeJS
@@ -95,11 +94,14 @@ jobs:
 
       - name: Web dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
+        working-directory: ./web
         run: pnpm install --frozen-lockfile
 
       - name: Web style check
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: pnpm run lint
+        working-directory: ./web
+        run: |
+          pnpm run lint
 
   docker-compose-template:
     name: Docker Compose Template

.github/workflows/translate-i18n-base-on-english.yml

@@ -46,7 +46,7 @@ jobs:
       - name: Install pnpm
         uses: pnpm/action-setup@v4
         with:
-          version: 10
+          package_json_file: web/package.json
           run_install: false
 
       - name: Set up Node.js
@@ -59,18 +59,30 @@ jobs:
 
       - name: Install dependencies
         if: env.FILES_CHANGED == 'true'
+        working-directory: ./web
         run: pnpm install --frozen-lockfile
 
       - name: Generate i18n translations
         if: env.FILES_CHANGED == 'true'
+        working-directory: ./web
         run: pnpm run auto-gen-i18n ${{ env.FILE_ARGS }}
 
+      - name: Generate i18n type definitions
+        if: env.FILES_CHANGED == 'true'
+        working-directory: ./web
+        run: pnpm run gen:i18n-types
+
       - name: Create Pull Request
         if: env.FILES_CHANGED == 'true'
         uses: peter-evans/create-pull-request@v6
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
-          commit-message: Update i18n files based on en-US changes
-          title: 'chore: translate i18n files'
-          body: This PR was automatically created to update i18n files based on changes in en-US locale.
+          commit-message: Update i18n files and type definitions based on en-US changes
+          title: 'chore: translate i18n files and update type definitions'
+          body: |
+            This PR was automatically created to update i18n files and TypeScript type definitions based on changes in en-US locale.
+            
+            **Changes included:**
+            - Updated translation files for all locales
+            - Regenerated TypeScript type definitions for type safety
           branch: chore/automated-i18n-updates

.github/workflows/vdb-tests.yml

@@ -1,15 +1,7 @@
 name: Run VDB Tests
 
 on:
-  pull_request:
-    branches:
-      - main
-    paths:
-      - api/core/rag/datasource/**
-      - docker/**
-      - .github/workflows/vdb-tests.yml
-      - api/uv.lock
-      - api/pyproject.toml
+  workflow_call:
 
 concurrency:
   group: vdb-tests-${{ github.head_ref || github.run_id }}
@@ -39,10 +31,11 @@ jobs:
           remove_tool_cache: true
 
       - name: Setup UV and Python
-        uses: ./.github/actions/setup-uv
+        uses: astral-sh/setup-uv@v6
         with:
+          enable-cache: true
           python-version: ${{ matrix.python-version }}
-          uv-lockfile: api/uv.lock
+          cache-dependency-glob: api/uv.lock
 
       - name: Check UV lockfile
         run: uv lock --project api --check

.github/workflows/web-tests.yml

@@ -1,11 +1,7 @@
 name: Web Tests
 
 on:
-  pull_request:
-    branches:
-      - main
-    paths:
-      - web/**
+  workflow_call:
 
 concurrency:
   group: web-tests-${{ github.head_ref || github.run_id }}
@@ -35,7 +31,7 @@ jobs:
         if: steps.changed-files.outputs.any_changed == 'true'
         uses: pnpm/action-setup@v4
         with:
-          version: 10
+          package_json_file: web/package.json
           run_install: false
 
       - name: Setup Node.js
@@ -48,8 +44,15 @@ jobs:
 
       - name: Install dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
+        working-directory: ./web
         run: pnpm install --frozen-lockfile
 
+      - name: Check i18n types synchronization
+        if: steps.changed-files.outputs.any_changed == 'true'
+        working-directory: ./web
+        run: pnpm run check:i18n-types
+
       - name: Run tests
         if: steps.changed-files.outputs.any_changed == 'true'
+        working-directory: ./web
         run: pnpm test

.gitignore

@@ -123,10 +123,12 @@ venv.bak/
 # mkdocs documentation
 /site
 
-# mypy
+# type checking
 .mypy_cache/
 .dmypy.json
 dmypy.json
+pyrightconfig.json
+!api/pyrightconfig.json
 
 # Pyre type checker
 .pyre/
@@ -195,8 +197,10 @@ sdks/python-client/dify_client.egg-info
 .vscode/*
 !.vscode/launch.json.template
 !.vscode/README.md
-pyrightconfig.json
 api/.vscode
+web/.vscode
+# vscode Code History Extension
+.history
 
 .idea/
 
@@ -212,7 +216,22 @@ mise.toml
 # Next.js build output
 .next/
 
+# PWA generated files
+web/public/sw.js
+web/public/sw.js.map
+web/public/workbox-*.js
+web/public/workbox-*.js.map
+web/public/fallback-*.js
+
 # AI Assistant
 .roo/
 api/.env.backup
 /clickzetta
+
+# Benchmark
+scripts/stress-test/setup/config/
+scripts/stress-test/reports/
+
+# mcp
+.playwright-mcp/
+.serena/

.mcp.json

@@ -0,0 +1,34 @@
+{
+    "mcpServers": {
+      "context7": {
+        "type": "http",
+        "url": "https://mcp.context7.com/mcp"
+      },
+      "sequential-thinking": {
+        "type": "stdio",
+        "command": "npx",
+        "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"],
+        "env": {}
+      },
+      "github": {
+        "type": "stdio",
+        "command": "npx",
+        "args": ["-y", "@modelcontextprotocol/server-github"],
+        "env": {
+          "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_PERSONAL_ACCESS_TOKEN}"
+        }
+      },
+      "fetch": {
+        "type": "stdio",
+        "command": "uvx",
+        "args": ["mcp-server-fetch"],
+        "env": {}
+      },
+      "playwright": {
+        "type": "stdio",
+        "command": "npx",
+        "args": ["-y", "@playwright/mcp@latest"],
+        "env": {}
+      }
+    }
+  }

.vscode/README.md

@@ -4,10 +4,10 @@ This `launch.json.template` file provides various debug configurations for the D
 
 ## How to Use
 
-1.  **Create `launch.json`**: If you don't have one, create a file named `launch.json` inside the `.vscode` directory.
-2.  **Copy Content**: Copy the entire content from `launch.json.template` into your newly created `launch.json` file.
-3.  **Select Debug Configuration**: Go to the Run and Debug view in VS Code / Cursor (Ctrl+Shift+D or Cmd+Shift+D).
-4.  **Start Debugging**: Select the desired configuration from the dropdown menu and click the green play button.
+1. **Create `launch.json`**: If you don't have one, create a file named `launch.json` inside the `.vscode` directory.
+1. **Copy Content**: Copy the entire content from `launch.json.template` into your newly created `launch.json` file.
+1. **Select Debug Configuration**: Go to the Run and Debug view in VS Code / Cursor (Ctrl+Shift+D or Cmd+Shift+D).
+1. **Start Debugging**: Select the desired configuration from the dropdown menu and click the green play button.
 
 ## Tips
 

AGENTS.md

@@ -0,0 +1,87 @@
+# AGENTS.md
+
+## Project Overview
+
+Dify is an open-source platform for developing LLM applications with an intuitive interface combining agentic AI workflows, RAG pipelines, agent capabilities, and model management.
+
+The codebase consists of:
+
+- **Backend API** (`/api`): Python Flask application with Domain-Driven Design architecture
+- **Frontend Web** (`/web`): Next.js 15 application with TypeScript and React 19
+- **Docker deployment** (`/docker`): Containerized deployment configurations
+
+## Development Commands
+
+### Backend (API)
+
+All Python commands must be prefixed with `uv run --project api`:
+
+```bash
+# Start development servers
+./dev/start-api                   # Start API server
+./dev/start-worker                # Start Celery worker
+
+# Run tests
+uv run --project api pytest      # Run all tests
+uv run --project api pytest tests/unit_tests/     # Unit tests only
+uv run --project api pytest tests/integration_tests/  # Integration tests
+
+# Code quality
+./dev/reformat                    # Run all formatters and linters
+uv run --project api ruff check --fix ./    # Fix linting issues
+uv run --project api ruff format ./         # Format code
+uv run --directory api basedpyright         # Type checking
+```
+
+### Frontend (Web)
+
+```bash
+cd web
+pnpm lint                         # Run ESLint
+pnpm eslint-fix                   # Fix ESLint issues
+pnpm test                         # Run Jest tests
+```
+
+## Testing Guidelines
+
+### Backend Testing
+
+- Use `pytest` for all backend tests
+- Write tests first (TDD approach)
+- Test structure: Arrange-Act-Assert
+
+## Code Style Requirements
+
+### Python
+
+- Use type hints for all functions and class attributes
+- No `Any` types unless absolutely necessary
+- Implement special methods (`__repr__`, `__str__`) appropriately
+
+### TypeScript/JavaScript
+
+- Strict TypeScript configuration
+- ESLint with Prettier integration
+- Avoid `any` type
+
+## Important Notes
+
+- **Environment Variables**: Always use UV for Python commands: `uv run --project api <command>`
+- **Comments**: Only write meaningful comments that explain "why", not "what"
+- **File Creation**: Always prefer editing existing files over creating new ones
+- **Documentation**: Don't create documentation files unless explicitly requested
+- **Code Quality**: Always run `./dev/reformat` before committing backend changes
+
+## Common Development Tasks
+
+### Adding a New API Endpoint
+
+1. Create controller in `/api/controllers/`
+1. Add service logic in `/api/services/`
+1. Update routes in controller's `__init__.py`
+1. Write tests in `/api/tests/`
+
+## Project-Specific Conventions
+
+- All async tasks use Celery with Redis as broker
+- **Internationalization**: Frontend supports multiple languages with English (`web/i18n/en-US/`) as the source. All user-facing text must use i18n keys, no hardcoded strings. Edit corresponding module files in `en-US/` directory for translations.

CLAUDE.md

@@ -0,0 +1 @@
+AGENTS.md

CONTRIBUTING.md

@@ -34,11 +34,11 @@ Don't forget to link an existing issue or open a new issue in the PR's descripti
 
 How we prioritize:
 
-  | Issue Type                                                   | Priority        |
-  | ------------------------------------------------------------ | --------------- |
-  | Bugs in core functions (cloud service, cannot login, applications not working, security loopholes) | Critical        |
-  | Non-critical bugs, performance boosts                        | Medium Priority |
-  | Minor fixes (typos, confusing but working UI)                | Low Priority    |
+| Issue Type | Priority |
+| ------------------------------------------------------------ | --------------- |
+| Bugs in core functions (cloud service, cannot login, applications not working, security loopholes) | Critical |
+| Non-critical bugs, performance boosts | Medium Priority |
+| Minor fixes (typos, confusing but working UI) | Low Priority |
 
 ### Feature requests
 
@@ -52,23 +52,25 @@ How we prioritize:
 
 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  |
+| 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 |
+
 ## Submitting your PR
 
 ### Pull Request Process
 
 1. Fork the repository
-2. Before you draft a PR, please create an issue to discuss the changes you want to make
-3. Create a new branch for your changes
-4. Please add tests for your changes accordingly
-5. Ensure your code passes the existing tests
-6. Please link the issue in the PR description, `fixes #<issue_number>`
-7. Get merged! 
+1. Before you draft a PR, please create an issue to discuss the changes you want to make
+1. Create a new branch for your changes
+1. Please add tests for your changes accordingly
+1. Ensure your code passes the existing tests
+1. Please link the issue in the PR description, `fixes #<issue_number>`
+1. Get merged!
+
 ### Setup the project
 
 #### Frontend
@@ -82,12 +84,14 @@ For setting up the backend service, kindly refer to our detailed [instructions](
 #### Other things to note
 
 We recommend reviewing this document carefully before proceeding with the setup, as it contains essential information about:
+
 - Prerequisites and dependencies
 - Installation steps
 - Configuration details
 - Common troubleshooting tips
 
 Feel free to reach out if you encounter any issues during the setup process.
+
 ## Getting Help
 
 If you ever get stuck or get 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

@@ -34,12 +34,11 @@
 
 优先级划分：
 
-  | 问题类型                                           | 优先级     |
-  | -------------------------------------------------- | ---------- |
-  | 核心功能 bug（云服务、登录失败、应用无法使用、安全漏洞） | 紧急       |
-  | 非关键 bug、性能优化                                | 中等优先级 |
-  | 小修复（拼写错误、界面混乱但可用）                  | 低优先级   |
-
+| 问题类型 | 优先级 |
+| -------------------------------------------------- | ---------- |
+| 核心功能 bug（云服务、登录失败、应用无法使用、安全漏洞） | 紧急 |
+| 非关键 bug、性能优化 | 中等优先级 |
+| 小修复（拼写错误、界面混乱但可用） | 低优先级 |
 
 ### 功能请求
 
@@ -53,12 +52,12 @@
 
 优先级划分：
 
-  | 功能类型                                           | 优先级     |
-  | -------------------------------------------------- | ---------- |
-  | 被团队成员标记为高优先级的功能                      | 高优先级   |
-  | 来自[社区反馈板](https://github.com/langgenius/dify/discussions/categories/feedbacks)的热门功能请求 | 中等优先级 |
-  | 非核心功能和小改进                                  | 低优先级   |
-  | 有价值但非紧急的功能                                | 未来特性   |
+| 功能类型 | 优先级 |
+| -------------------------------------------------- | ---------- |
+| 被团队成员标记为高优先级的功能 | 高优先级 |
+| 来自[社区反馈板](https://github.com/langgenius/dify/discussions/categories/feedbacks)的热门功能请求 | 中等优先级 |
+| 非核心功能和小改进 | 低优先级 |
+| 有价值但非紧急的功能 | 未来特性 |
 
 ## 提交 PR
 
@@ -67,12 +66,12 @@
 ### PR 提交流程
 
 1. Fork 本仓库
-2. 在提交 PR 之前，请先创建 issue 讨论你想要做的修改
-3. 为你的修改创建一个新的分支
-4. 请为你的修改添加相应的测试
-5. 确保你的代码能通过现有的测试
-6. 请在 PR 描述中关联相关 issue，格式为 `fixes #<issue编号>`
-7. 等待合并！
+1. 在提交 PR 之前，请先创建 issue 讨论你想要做的修改
+1. 为你的修改创建一个新的分支
+1. 请为你的修改添加相应的测试
+1. 确保你的代码能通过现有的测试
+1. 请在 PR 描述中关联相关 issue，格式为 `fixes #<issue编号>`
+1. 等待合并！
 
 #### 前端
 
@@ -85,6 +84,7 @@
 #### 其他注意事项
 
 我们建议在开始设置之前仔细阅读本文档，因为它包含以下重要信息：
+
 - 前置条件和依赖项
 - 安装步骤
 - 配置细节

CONTRIBUTING_DE.md

@@ -32,11 +32,11 @@ Vergessen Sie nicht, in der PR-Beschreibung ein bestehendes Issue zu verlinken o
 
 Unsere Priorisierung:
 
-  | Fehlertyp                                                    | Priorität       |
-  | ------------------------------------------------------------ | --------------- |
-  | Fehler in Kernfunktionen (Cloud-Service, Login nicht möglich, Anwendungen funktionieren nicht, Sicherheitslücken) | Kritisch        |
-  | Nicht-kritische Fehler, Leistungsverbesserungen              | Mittlere Priorität |
-  | Kleinere Korrekturen (Tippfehler, verwirrende aber funktionierende UI) | Niedrige Priorität |
+| Fehlertyp | Priorität |
+| ------------------------------------------------------------ | --------------- |
+| Fehler in Kernfunktionen (Cloud-Service, Login nicht möglich, Anwendungen funktionieren nicht, Sicherheitslücken) | Kritisch |
+| Nicht-kritische Fehler, Leistungsverbesserungen | Mittlere Priorität |
+| Kleinere Korrekturen (Tippfehler, verwirrende aber funktionierende UI) | Niedrige Priorität |
 
 ### Feature-Anfragen
 
@@ -50,24 +50,24 @@ Unsere Priorisierung:
 
 Unsere Priorisierung:
 
-  | Feature-Typ                                                  | Priorität       |
-  | ------------------------------------------------------------ | --------------- |
-  | Hochprioritäre Features (durch Teammitglied gekennzeichnet)  | Hohe Priorität  |
-  | Beliebte Feature-Anfragen aus unserem [Community-Feedback-Board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Mittlere Priorität |
-  | Nicht-Kernfunktionen und kleinere Verbesserungen             | Niedrige Priorität |
-  | Wertvoll, aber nicht dringend                                | Zukunfts-Feature |
+| Feature-Typ | Priorität |
+| ------------------------------------------------------------ | --------------- |
+| Hochprioritäre Features (durch Teammitglied gekennzeichnet) | Hohe Priorität |
+| Beliebte Feature-Anfragen aus unserem [Community-Feedback-Board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Mittlere Priorität |
+| Nicht-Kernfunktionen und kleinere Verbesserungen | Niedrige Priorität |
+| Wertvoll, aber nicht dringend | Zukunfts-Feature |
 
 ## Einreichen Ihres PRs
 
 ### Pull-Request-Prozess
 
 1. Repository forken
-2. Vor dem Erstellen eines PRs bitte ein Issue zur Diskussion der Änderungen erstellen
-3. Einen neuen Branch für Ihre Änderungen erstellen
-4. Tests für Ihre Änderungen hinzufügen
-5. Sicherstellen, dass Ihr Code die bestehenden Tests besteht
-6. Issue in der PR-Beschreibung verlinken (`fixes #<issue_number>`)
-7. Auf den Merge warten!
+1. Vor dem Erstellen eines PRs bitte ein Issue zur Diskussion der Änderungen erstellen
+1. Einen neuen Branch für Ihre Änderungen erstellen
+1. Tests für Ihre Änderungen hinzufügen
+1. Sicherstellen, dass Ihr Code die bestehenden Tests besteht
+1. Issue in der PR-Beschreibung verlinken (`fixes #<issue_number>`)
+1. Auf den Merge warten!
 
 ### Projekt einrichten
 
@@ -82,6 +82,7 @@ Für die Einrichtung des Backend-Service folgen Sie bitte unseren detaillierten
 #### Weitere Hinweise
 
 Wir empfehlen, dieses Dokument sorgfältig zu lesen, da es wichtige Informationen enthält über:
+
 - Voraussetzungen und Abhängigkeiten
 - Installationsschritte
 - Konfigurationsdetails
@@ -92,4 +93,3 @@ Bei Problemen während der Einrichtung können Sie sich gerne an uns wenden.
 ## Hilfe bekommen
 
 Wenn Sie beim Mitwirken Fragen haben oder nicht weiterkommen, stellen Sie Ihre Fragen einfach im entsprechenden GitHub Issue oder besuchen Sie unseren [Discord](https://discord.gg/8Tpq4AcN9c) für einen schnellen Austausch.
-

CONTRIBUTING_ES.md

@@ -34,11 +34,11 @@ No olvides vincular un issue existente o abrir uno nuevo en la descripción del
 
 Cómo priorizamos:
 
-  | Tipo de Issue                                                | Prioridad       |
-  | ------------------------------------------------------------ | --------------- |
-  | Errores en funciones principales (servicio en la nube, no poder iniciar sesión, aplicaciones que no funcionan, fallos de seguridad) | Crítica         |
-  | Errores no críticos, mejoras de rendimiento                 | Prioridad Media |
-  | Correcciones menores (errores tipográficos, UI confusa pero funcional) | Prioridad Baja  |
+| Tipo de Issue | Prioridad |
+| ------------------------------------------------------------ | --------------- |
+| Errores en funciones principales (servicio en la nube, no poder iniciar sesión, aplicaciones que no funcionan, fallos de seguridad) | Crítica |
+| Errores no críticos, mejoras de rendimiento | Prioridad Media |
+| Correcciones menores (errores tipográficos, UI confusa pero funcional) | Prioridad Baja |
 
 ### Solicitudes de funcionalidades
 
@@ -52,23 +52,25 @@ Cómo priorizamos:
 
 Cómo priorizamos:
 
-  | Tipo de Funcionalidad                                        | Prioridad       |
-  | ------------------------------------------------------------ | --------------- |
-  | Funcionalidades de alta prioridad etiquetadas por un miembro del equipo | Prioridad Alta  |
-  | Solicitudes populares de funcionalidades de nuestro [tablero de comentarios de la comunidad](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Prioridad Media |
-  | Funcionalidades no principales y mejoras menores            | Prioridad Baja  |
-  | Valiosas pero no inmediatas                                 | Futura-Funcionalidad |
+| Tipo de Funcionalidad | Prioridad |
+| ------------------------------------------------------------ | --------------- |
+| Funcionalidades de alta prioridad etiquetadas por un miembro del equipo | Prioridad Alta |
+| Solicitudes populares de funcionalidades de nuestro [tablero de comentarios de la comunidad](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Prioridad Media |
+| Funcionalidades no principales y mejoras menores | Prioridad Baja |
+| Valiosas pero no inmediatas | Futura-Funcionalidad |
+
 ## Enviando tu PR
 
 ### Proceso de Pull Request
 
 1. Haz un fork del repositorio
-2. Antes de redactar un PR, por favor crea un issue para discutir los cambios que quieres hacer
-3. Crea una nueva rama para tus cambios
-4. Por favor añade pruebas para tus cambios en consecuencia
-5. Asegúrate de que tu código pasa las pruebas existentes
-6. Por favor vincula el issue en la descripción del PR, `fixes #<número_del_issue>`
-7. ¡Fusiona tu código!
+1. Antes de redactar un PR, por favor crea un issue para discutir los cambios que quieres hacer
+1. Crea una nueva rama para tus cambios
+1. Por favor añade pruebas para tus cambios en consecuencia
+1. Asegúrate de que tu código pasa las pruebas existentes
+1. Por favor vincula el issue en la descripción del PR, `fixes #<número_del_issue>`
+1. ¡Fusiona tu código!
+
 ### Configuración del proyecto
 
 #### Frontend
@@ -82,12 +84,14 @@ Para configurar el servicio backend, por favor consulta nuestras [instrucciones
 #### Otras cosas a tener en cuenta
 
 Recomendamos revisar este documento cuidadosamente antes de proceder con la configuración, ya que contiene información esencial sobre:
+
 - Requisitos previos y dependencias
 - Pasos de instalación
 - Detalles de configuración
 - Consejos comunes de solución de problemas
 
 No dudes en contactarnos si encuentras algún problema durante el proceso de configuración.
+
 ## Obteniendo Ayuda
 
-Si alguna vez te quedas atascado o tienes una pregunta urgente mientras contribuyes, simplemente envíanos tus consultas a través del issue relacionado de GitHub, o únete a nuestro [Discord](https://discord.gg/8Tpq4AcN9c) para una charla rápida. 
+Si alguna vez te quedas atascado o tienes una pregunta urgente mientras contribuyes, simplemente envíanos tus consultas a través del issue relacionado de GitHub, o únete a nuestro [Discord](https://discord.gg/8Tpq4AcN9c) para una charla rápida.

CONTRIBUTING_FR.md

@@ -34,11 +34,11 @@ N'oubliez pas de lier un problème existant ou d'ouvrir un nouveau problème dan
 
 Comment nous priorisons :
 
-  | Type de Problème                                              | Priorité        |
-  | ------------------------------------------------------------ | --------------- |
-  | Bugs dans les fonctions principales (service cloud, impossibilité de se connecter, applications qui ne fonctionnent pas, failles de sécurité) | Critique        |
-  | Bugs non critiques, améliorations de performance             | Priorité Moyenne |
-  | Corrections mineures (fautes de frappe, UI confuse mais fonctionnelle) | Priorité Basse  |
+| Type de Problème | Priorité |
+| ------------------------------------------------------------ | --------------- |
+| Bugs dans les fonctions principales (service cloud, impossibilité de se connecter, applications qui ne fonctionnent pas, failles de sécurité) | Critique |
+| Bugs non critiques, améliorations de performance | Priorité Moyenne |
+| Corrections mineures (fautes de frappe, UI confuse mais fonctionnelle) | Priorité Basse |
 
 ### Demandes de fonctionnalités
 
@@ -52,23 +52,25 @@ Comment nous priorisons :
 
 Comment nous priorisons :
 
-  | Type de Fonctionnalité                                        | Priorité        |
-  | ------------------------------------------------------------ | --------------- |
-  | Fonctionnalités hautement prioritaires étiquetées par un membre de l'équipe | Priorité Haute  |
-  | Demandes populaires de fonctionnalités de notre [tableau de feedback communautaire](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Priorité Moyenne |
-  | Fonctionnalités non essentielles et améliorations mineures   | Priorité Basse  |
-  | Précieuses mais non immédiates                               | Fonctionnalité Future |
+| Type de Fonctionnalité | Priorité |
+| ------------------------------------------------------------ | --------------- |
+| Fonctionnalités hautement prioritaires étiquetées par un membre de l'équipe | Priorité Haute |
+| Demandes populaires de fonctionnalités de notre [tableau de feedback communautaire](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Priorité Moyenne |
+| Fonctionnalités non essentielles et améliorations mineures | Priorité Basse |
+| Précieuses mais non immédiates | Fonctionnalité Future |
+
 ## Soumettre votre PR
 
 ### Processus de Pull Request
 
 1. Forkez le dépôt
-2. Avant de rédiger une PR, veuillez créer un problème pour discuter des changements que vous souhaitez apporter
-3. Créez une nouvelle branche pour vos changements
-4. Veuillez ajouter des tests pour vos changements en conséquence
-5. Assurez-vous que votre code passe les tests existants
-6. Veuillez lier le problème dans la description de la PR, `fixes #<numéro_du_problème>`
-7. Faites fusionner votre code !
+1. Avant de rédiger une PR, veuillez créer un problème pour discuter des changements que vous souhaitez apporter
+1. Créez une nouvelle branche pour vos changements
+1. Veuillez ajouter des tests pour vos changements en conséquence
+1. Assurez-vous que votre code passe les tests existants
+1. Veuillez lier le problème dans la description de la PR, `fixes #<numéro_du_problème>`
+1. Faites fusionner votre code !
+
 ### Configuration du projet
 
 #### Frontend
@@ -82,12 +84,14 @@ Pour configurer le service backend, veuillez consulter nos [instructions détail
 #### Autres choses à noter
 
 Nous recommandons de revoir attentivement ce document avant de procéder à la configuration, car il contient des informations essentielles sur :
+
 - Prérequis et dépendances
 - Étapes d'installation
 - Détails de configuration
 - Conseils courants de dépannage
 
 N'hésitez pas à nous contacter si vous rencontrez des problèmes pendant le processus de configuration.
+
 ## Obtenir de l'aide
 
-Si jamais vous êtes bloqué ou avez une question urgente en contribuant, envoyez-nous simplement vos questions via le problème GitHub concerné, ou rejoignez notre [Discord](https://discord.gg/8Tpq4AcN9c) pour une discussion rapide. 
+Si jamais vous êtes bloqué ou avez une question urgente en contribuant, envoyez-nous simplement vos questions via le problème GitHub concerné, ou rejoignez notre [Discord](https://discord.gg/8Tpq4AcN9c) pour une discussion rapide.

CONTRIBUTING_JA.md

@@ -34,11 +34,11 @@ PRの説明には、既存のイシューへのリンクを含めるか、新し
 
 優先順位の付け方：
 
-  | 問題の種類                                                    | 優先度    |
-  | ------------------------------------------------------------ | --------- |
-  | コア機能のバグ（クラウドサービス、ログイン不可、アプリケーション不具合、セキュリティ脆弱性） | 最重要    |
-  | 重要度の低いバグ、パフォーマンス改善                         | 中程度    |
-  | 軽微な修正（タイプミス、分かりにくいが動作するUI）           | 低       |
+| 問題の種類 | 優先度 |
+| ------------------------------------------------------------ | --------- |
+| コア機能のバグ（クラウドサービス、ログイン不可、アプリケーション不具合、セキュリティ脆弱性） | 最重要 |
+| 重要度の低いバグ、パフォーマンス改善 | 中程度 |
+| 軽微な修正（タイプミス、分かりにくいが動作するUI） | 低 |
 
 ### 機能リクエスト
 
@@ -52,24 +52,24 @@ PRの説明には、既存のイシューへのリンクを含めるか、新し
 
 優先順位の付け方：
 
-  | 機能の種類                                                    | 優先度    |
-  | ------------------------------------------------------------ | --------- |
-  | チームメンバーによって高優先度とラベル付けされた機能         | 高       |
-  | [コミュニティフィードボード](https://github.com/langgenius/dify/discussions/categories/feedbacks)での人気の機能リクエスト | 中程度    |
-  | 非コア機能と軽微な改善                                       | 低       |
-  | 価値はあるが緊急性の低いもの                                 | 将来対応  |
+| 機能の種類 | 優先度 |
+| ------------------------------------------------------------ | --------- |
+| チームメンバーによって高優先度とラベル付けされた機能 | 高 |
+| [コミュニティフィードボード](https://github.com/langgenius/dify/discussions/categories/feedbacks)での人気の機能リクエスト | 中程度 |
+| 非コア機能と軽微な改善 | 低 |
+| 価値はあるが緊急性の低いもの | 将来対応 |
 
 ## PRの提出
 
 ### プルリクエストのプロセス
 
 1. リポジトリをフォークする
-2. PRを作成する前に、変更内容についてイシューで議論する
-3. 変更用の新しいブランチを作成する
-4. 変更に応じたテストを追加する
-5. 既存のテストをパスすることを確認する
-6. PRの説明文にイシューをリンクする（`fixes #<issue_number>`）
-7. マージ完了！
+1. PRを作成する前に、変更内容についてイシューで議論する
+1. 変更用の新しいブランチを作成する
+1. 変更に応じたテストを追加する
+1. 既存のテストをパスすることを確認する
+1. PRの説明文にイシューをリンクする（`fixes #<issue_number>`）
+1. マージ完了！
 
 ### プロジェクトのセットアップ
 
@@ -84,6 +84,7 @@ PRの説明には、既存のイシューへのリンクを含めるか、新し
 #### その他の注意点
 
 セットアップを進める前に、以下の重要な情報が含まれているため、このドキュメントを注意深く確認することをお勧めします：
+
 - 前提条件と依存関係
 - インストール手順
 - 設定の詳細
@@ -94,4 +95,3 @@ PRの説明には、既存のイシューへのリンクを含めるか、新し
 ## サポートを受ける
 
 貢献中に行き詰まったり、緊急の質問がある場合は、関連するGitHubイシューで質問するか、[Discord](https://discord.gg/8Tpq4AcN9c)で気軽にチャットしてください。
-

CONTRIBUTING_KR.md

@@ -34,11 +34,11 @@ PR 설명에 기존 이슈를 연결하거나 새 이슈를 여는 것을 잊지
 
 우선순위 결정 방법:
 
-  | 이슈 유형                                                     | 우선순위        |
-  | ------------------------------------------------------------ | --------------- |
-  | 핵심 기능의 버그(클라우드 서비스, 로그인 불가, 애플리케이션 작동 불능, 보안 취약점) | 중대            |
-  | 비중요 버그, 성능 향상                                        | 중간 우선순위   |
-  | 사소한 수정(오타, 혼란스럽지만 작동하는 UI)                    | 낮은 우선순위   |
+| 이슈 유형 | 우선순위 |
+| ------------------------------------------------------------ | --------------- |
+| 핵심 기능의 버그(클라우드 서비스, 로그인 불가, 애플리케이션 작동 불능, 보안 취약점) | 중대 |
+| 비중요 버그, 성능 향상 | 중간 우선순위 |
+| 사소한 수정(오타, 혼란스럽지만 작동하는 UI) | 낮은 우선순위 |
 
 ### 기능 요청
 
@@ -52,23 +52,25 @@ PR 설명에 기존 이슈를 연결하거나 새 이슈를 여는 것을 잊지
 
 우선순위 결정 방법:
 
-  | 기능 유형                                                     | 우선순위        |
-  | ------------------------------------------------------------ | --------------- |
-  | 팀 구성원에 의해 레이블이 지정된 고우선순위 기능               | 높은 우선순위   |
-  | 우리의 [커뮤니티 피드백 보드](https://github.com/langgenius/dify/discussions/categories/feedbacks)에서 인기 있는 기능 요청 | 중간 우선순위   |
-  | 비핵심 기능 및 사소한 개선                                     | 낮은 우선순위   |
-  | 가치 있지만 즉시 필요하지 않은 기능                            | 미래 기능       |
+| 기능 유형 | 우선순위 |
+| ------------------------------------------------------------ | --------------- |
+| 팀 구성원에 의해 레이블이 지정된 고우선순위 기능 | 높은 우선순위 |
+| 우리의 [커뮤니티 피드백 보드](https://github.com/langgenius/dify/discussions/categories/feedbacks)에서 인기 있는 기능 요청 | 중간 우선순위 |
+| 비핵심 기능 및 사소한 개선 | 낮은 우선순위 |
+| 가치 있지만 즉시 필요하지 않은 기능 | 미래 기능 |
+
 ## PR 제출하기
 
 ### Pull Request 프로세스
 
 1. 저장소를 포크하세요
-2. PR을 작성하기 전에, 변경하고자 하는 내용에 대해 논의하기 위한 이슈를 생성해 주세요
-3. 변경 사항을 위한 새 브랜치를 만드세요
-4. 변경 사항에 대한 테스트를 적절히 추가해 주세요
-5. 코드가 기존 테스트를 통과하는지 확인하세요
-6. PR 설명에 이슈를 연결해 주세요, `fixes #<이슈_번호>`
-7. 병합 완료!
+1. PR을 작성하기 전에, 변경하고자 하는 내용에 대해 논의하기 위한 이슈를 생성해 주세요
+1. 변경 사항을 위한 새 브랜치를 만드세요
+1. 변경 사항에 대한 테스트를 적절히 추가해 주세요
+1. 코드가 기존 테스트를 통과하는지 확인하세요
+1. PR 설명에 이슈를 연결해 주세요, `fixes #<이슈_번호>`
+1. 병합 완료!
+
 ### 프로젝트 설정하기
 
 #### 프론트엔드
@@ -82,12 +84,14 @@ PR 설명에 기존 이슈를 연결하거나 새 이슈를 여는 것을 잊지
 #### 기타 참고 사항
 
 설정을 진행하기 전에 이 문서를 주의 깊게 검토하는 것을 권장합니다. 다음과 같은 필수 정보가 포함되어 있습니다:
+
 - 필수 조건 및 종속성
 - 설치 단계
 - 구성 세부 정보
 - 일반적인 문제 해결 팁
 
 설정 과정에서 문제가 발생하면 언제든지 연락해 주세요.
+
 ## 도움 받기
 
-기여하는 동안 막히거나 긴급한 질문이 있으면, 관련 GitHub 이슈를 통해 질문을 보내거나, 빠른 대화를 위해 우리의 [Discord](https://discord.gg/8Tpq4AcN9c)에 참여하세요. 
+기여하는 동안 막히거나 긴급한 질문이 있으면, 관련 GitHub 이슈를 통해 질문을 보내거나, 빠른 대화를 위해 우리의 [Discord](https://discord.gg/8Tpq4AcN9c)에 참여하세요.

CONTRIBUTING_PT.md

@@ -34,11 +34,11 @@ Não se esqueça de vincular um problema existente ou abrir um novo problema na
 
 Como priorizamos:
 
-  | Tipo de Problema                                              | Prioridade      |
-  | ------------------------------------------------------------ | --------------- |
-  | Bugs em funções centrais (serviço em nuvem, não conseguir fazer login, aplicações não funcionando, falhas de segurança) | Crítica         |
-  | Bugs não críticos, melhorias de desempenho                   | Prioridade Média |
-  | Correções menores (erros de digitação, interface confusa mas funcional) | Prioridade Baixa |
+| Tipo de Problema | Prioridade |
+| ------------------------------------------------------------ | --------------- |
+| Bugs em funções centrais (serviço em nuvem, não conseguir fazer login, aplicações não funcionando, falhas de segurança) | Crítica |
+| Bugs não críticos, melhorias de desempenho | Prioridade Média |
+| Correções menores (erros de digitação, interface confusa mas funcional) | Prioridade Baixa |
 
 ### Solicitações de recursos
 
@@ -52,23 +52,25 @@ Como priorizamos:
 
 Como priorizamos:
 
-  | Tipo de Recurso                                              | Prioridade      |
-  | ------------------------------------------------------------ | --------------- |
-  | Recursos de alta prioridade conforme rotulado por um membro da equipe | Prioridade Alta |
-  | Solicitações populares de recursos do nosso [quadro de feedback da comunidade](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Prioridade Média |
-  | Recursos não essenciais e melhorias menores                  | Prioridade Baixa |
-  | Valiosos mas não imediatos                                  | Recurso Futuro  |
+| Tipo de Recurso | Prioridade |
+| ------------------------------------------------------------ | --------------- |
+| Recursos de alta prioridade conforme rotulado por um membro da equipe | Prioridade Alta |
+| Solicitações populares de recursos do nosso [quadro de feedback da comunidade](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Prioridade Média |
+| Recursos não essenciais e melhorias menores | Prioridade Baixa |
+| Valiosos mas não imediatos | Recurso Futuro |
+
 ## Enviando seu PR
 
 ### Processo de Pull Request
 
 1. Faça um fork do repositório
-2. Antes de elaborar um PR, por favor crie um problema para discutir as mudanças que você quer fazer
-3. Crie um novo branch para suas alterações
-4. Por favor, adicione testes para suas alterações conforme apropriado
-5. Certifique-se de que seu código passa nos testes existentes
-6. Por favor, vincule o problema na descrição do PR, `fixes #<número_do_problema>`
-7. Faça o merge do seu código!
+1. Antes de elaborar um PR, por favor crie um problema para discutir as mudanças que você quer fazer
+1. Crie um novo branch para suas alterações
+1. Por favor, adicione testes para suas alterações conforme apropriado
+1. Certifique-se de que seu código passa nos testes existentes
+1. Por favor, vincule o problema na descrição do PR, `fixes #<número_do_problema>`
+1. Faça o merge do seu código!
+
 ### Configurando o projeto
 
 #### Frontend
@@ -82,12 +84,14 @@ Para configurar o serviço backend, por favor consulte nossas [instruções deta
 #### Outras coisas a observar
 
 Recomendamos revisar este documento cuidadosamente antes de prosseguir com a configuração, pois ele contém informações essenciais sobre:
+
 - Pré-requisitos e dependências
 - Etapas de instalação
 - Detalhes de configuração
 - Dicas comuns de solução de problemas
 
 Sinta-se à vontade para entrar em contato se encontrar quaisquer problemas durante o processo de configuração.
+
 ## Obtendo Ajuda
 
-Se você ficar preso ou tiver uma dúvida urgente enquanto contribui, simplesmente envie suas perguntas através do problema relacionado no GitHub, ou entre no nosso [Discord](https://discord.gg/8Tpq4AcN9c) para uma conversa rápida. 
+Se você ficar preso ou tiver uma dúvida urgente enquanto contribui, simplesmente envie suas perguntas através do problema relacionado no GitHub, ou entre no nosso [Discord](https://discord.gg/8Tpq4AcN9c) para uma conversa rápida.

CONTRIBUTING_TR.md

@@ -34,11 +34,11 @@ PR açıklamasında mevcut bir sorunu bağlamayı veya yeni bir sorun açmayı u
 
 Nasıl önceliklendiriyoruz:
 
-  | Sorun Türü                                                    | Öncelik         |
-  | ------------------------------------------------------------ | --------------- |
-  | Temel işlevlerdeki hatalar (bulut hizmeti, giriş yapamama, çalışmayan uygulamalar, güvenlik açıkları) | Kritik          |
-  | Kritik olmayan hatalar, performans artışları                 | Orta Öncelik    |
-  | Küçük düzeltmeler (yazım hataları, kafa karıştırıcı ama çalışan UI) | Düşük Öncelik   |
+| Sorun Türü | Öncelik |
+| ------------------------------------------------------------ | --------------- |
+| Temel işlevlerdeki hatalar (bulut hizmeti, giriş yapamama, çalışmayan uygulamalar, güvenlik açıkları) | Kritik |
+| Kritik olmayan hatalar, performans artışları | Orta Öncelik |
+| Küçük düzeltmeler (yazım hataları, kafa karıştırıcı ama çalışan UI) | Düşük Öncelik |
 
 ### Özellik İstekleri
 
@@ -52,23 +52,25 @@ Nasıl önceliklendiriyoruz:
 
 Nasıl önceliklendiriyoruz:
 
-  | Özellik Türü                                                 | Öncelik         |
-  | ------------------------------------------------------------ | --------------- |
-  | Bir ekip üyesi tarafından etiketlenen Yüksek Öncelikli Özellikler | Yüksek Öncelik  |
-  | [Topluluk geri bildirim panosundan](https://github.com/langgenius/dify/discussions/categories/feedbacks) popüler özellik istekleri | Orta Öncelik    |
-  | Temel olmayan özellikler ve küçük geliştirmeler              | Düşük Öncelik   |
-  | Değerli ama acil olmayan                                     | Gelecek-Özellik |
+| Özellik Türü | Öncelik |
+| ------------------------------------------------------------ | --------------- |
+| Bir ekip üyesi tarafından etiketlenen Yüksek Öncelikli Özellikler | Yüksek Öncelik |
+| [Topluluk geri bildirim panosundan](https://github.com/langgenius/dify/discussions/categories/feedbacks) popüler özellik istekleri | Orta Öncelik |
+| Temel olmayan özellikler ve küçük geliştirmeler | Düşük Öncelik |
+| Değerli ama acil olmayan | Gelecek-Özellik |
+
 ## PR'nizi Göndermek
 
 ### Pull Request Süreci
 
 1. Depoyu fork edin
-2. Bir PR taslağı oluşturmadan önce, yapmak istediğiniz değişiklikleri tartışmak için lütfen bir sorun oluşturun
-3. Değişiklikleriniz için yeni bir dal oluşturun
-4. Lütfen değişiklikleriniz için uygun testler ekleyin
-5. Kodunuzun mevcut testleri geçtiğinden emin olun
-6. Lütfen PR açıklamasında sorunu bağlayın, `fixes #<sorun_numarası>`
-7. Kodunuzu birleştirin!
+1. Bir PR taslağı oluşturmadan önce, yapmak istediğiniz değişiklikleri tartışmak için lütfen bir sorun oluşturun
+1. Değişiklikleriniz için yeni bir dal oluşturun
+1. Lütfen değişiklikleriniz için uygun testler ekleyin
+1. Kodunuzun mevcut testleri geçtiğinden emin olun
+1. Lütfen PR açıklamasında sorunu bağlayın, `fixes #<sorun_numarası>`
+1. Kodunuzu birleştirin!
+
 ### Projeyi Kurma
 
 #### Frontend
@@ -82,12 +84,14 @@ Backend hizmetini kurmak için, lütfen `api/README.md` dosyasındaki detaylı [
 #### Dikkat Edilecek Diğer Şeyler
 
 Kuruluma geçmeden önce bu belgeyi dikkatlice incelemenizi öneririz, çünkü şunlar hakkında temel bilgiler içerir:
+
 - Ön koşullar ve bağımlılıklar
 - Kurulum adımları
 - Yapılandırma detayları
 - Yaygın sorun giderme ipuçları
 
 Kurulum süreci sırasında herhangi bir sorunla karşılaşırsanız bizimle iletişime geçmekten çekinmeyin.
+
 ## Yardım Almak
 
-Katkıda bulunurken takılırsanız veya yanıcı bir sorunuz olursa, sorularınızı ilgili GitHub sorunu aracılığıyla bize gönderin veya hızlı bir sohbet için [Discord'umuza](https://discord.gg/8Tpq4AcN9c) katılın. 
+Katkıda bulunurken takılırsanız veya yanıcı bir sorunuz olursa, sorularınızı ilgili GitHub sorunu aracılığıyla bize gönderin veya hızlı bir sohbet için [Discord'umuza](https://discord.gg/8Tpq4AcN9c) katılın.

CONTRIBUTING_TW.md

@@ -22,7 +22,7 @@
 
 ### 錯誤回報
 
-> [!IMPORTANT]  
+> [!IMPORTANT]\
 > 提交錯誤回報時，請務必包含以下資訊：
 
 - 清晰明確的標題
@@ -34,15 +34,15 @@
 
 優先順序評估：
 
-  | 議題類型 | 優先級 |
-  | -------- | ------ |
-  | 核心功能錯誤（雲端服務、無法登入、應用程式無法運作、安全漏洞） | 緊急 |
-  | 非緊急錯誤、效能優化 | 中等 |
-  | 次要修正（拼字錯誤、介面混淆但可運作） | 低 |
+| 議題類型 | 優先級 |
+| -------- | ------ |
+| 核心功能錯誤（雲端服務、無法登入、應用程式無法運作、安全漏洞） | 緊急 |
+| 非緊急錯誤、效能優化 | 中等 |
+| 次要修正（拼字錯誤、介面混淆但可運作） | 低 |
 
 ### 功能請求
 
-> [!NOTE]  
+> [!NOTE]\
 > 提交功能請求時，請務必包含以下資訊：
 
 - 清晰明確的標題
@@ -52,24 +52,24 @@
 
 優先順序評估：
 
-  | 功能類型 | 優先級 |
-  | -------- | ------ |
-  | 團隊成員標記為高優先級的功能 | 高 |
-  | 來自[社群回饋板](https://github.com/langgenius/dify/discussions/categories/feedbacks)的熱門功能請求 | 中 |
-  | 非核心功能和小幅改進 | 低 |
-  | 有價值但非急迫的功能 | 未來功能 |
+| 功能類型 | 優先級 |
+| -------- | ------ |
+| 團隊成員標記為高優先級的功能 | 高 |
+| 來自[社群回饋板](https://github.com/langgenius/dify/discussions/categories/feedbacks)的熱門功能請求 | 中 |
+| 非核心功能和小幅改進 | 低 |
+| 有價值但非急迫的功能 | 未來功能 |
 
 ## 提交 PR
 
 ### PR 流程
 
 1. Fork 專案
-2. 在開始撰寫 PR 前，請先建立議題討論你想做的更改
-3. 為你的更改建立新分支
-4. 請為你的更改新增相應的測試
-5. 確保你的程式碼通過現有測試
-6. 請在 PR 描述中連結相關議題，使用 `fixes #<issue_number>`
-7. 等待合併！
+1. 在開始撰寫 PR 前，請先建立議題討論你想做的更改
+1. 為你的更改建立新分支
+1. 請為你的更改新增相應的測試
+1. 確保你的程式碼通過現有測試
+1. 請在 PR 描述中連結相關議題，使用 `fixes #<issue_number>`
+1. 等待合併！
 
 ### 專案設定
 
@@ -84,6 +84,7 @@
 #### 其他注意事項
 
 我們建議在開始設定前仔細閱讀此文件，因為它包含以下重要資訊：
+
 - 前置需求和相依性
 - 安裝步驟
 - 設定細節
@@ -94,4 +95,3 @@
 ## 尋求協助
 
 如果你在貢獻過程中遇到困難或有急切的問題，可以透過相關的 GitHub 議題詢問，或加入我們的 [Discord](https://discord.gg/8Tpq4AcN9c) 進行即時交流。
-

CONTRIBUTING_VI.md

@@ -22,7 +22,7 @@ Hãy tham gia, đóng góp và cùng nhau xây dựng điều tuyệt vời!
 
 ### Báo cáo lỗi
 
-> [!QUAN TRỌNG]  
+> [!QUAN TRỌNG]\
 > Vui lòng đảm bảo cung cấp các thông tin sau khi gửi báo cáo lỗi:
 
 - Tiêu đề rõ ràng và mô tả
@@ -34,11 +34,11 @@ Hãy tham gia, đóng góp và cùng nhau xây dựng điều tuyệt vời!
 
 Cách chúng tôi ưu tiên:
 
-  | Loại vấn đề | Mức độ ưu tiên |
-  | ----------- | -------------- |
-  | Lỗi trong các chức năng cốt lõi (dịch vụ đám mây, không thể đăng nhập, ứng dụng không hoạt động, lỗ hổng bảo mật) | Quan trọng |
-  | Lỗi không nghiêm trọng, cải thiện hiệu suất | Ưu tiên trung bình |
-  | Sửa lỗi nhỏ (lỗi chính tả, UI gây nhầm lẫn nhưng vẫn hoạt động) | Ưu tiên thấp |
+| Loại vấn đề | Mức độ ưu tiên |
+| ----------- | -------------- |
+| Lỗi trong các chức năng cốt lõi (dịch vụ đám mây, không thể đăng nhập, ứng dụng không hoạt động, lỗ hổng bảo mật) | Quan trọng |
+| Lỗi không nghiêm trọng, cải thiện hiệu suất | Ưu tiên trung bình |
+| Sửa lỗi nhỏ (lỗi chính tả, UI gây nhầm lẫn nhưng vẫn hoạt động) | Ưu tiên thấp |
 
 ### Yêu cầu tính năng
 
@@ -52,24 +52,24 @@ Cách chúng tôi ưu tiên:
 
 Cách chúng tôi ưu tiên:
 
-  | Loại tính năng | Mức độ ưu tiên |
-  | -------------- | -------------- |
-  | Tính năng ưu tiên cao được gắn nhãn bởi thành viên nhóm | Ưu tiên cao |
-  | Yêu cầu tính năng phổ biến từ [bảng phản hồi cộng đồng](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Ưu tiên trung bình |
-  | Tính năng không cốt lõi và cải tiến nhỏ | Ưu tiên thấp |
-  | Có giá trị nhưng không cấp bách | Tính năng tương lai |
+| Loại tính năng | Mức độ ưu tiên |
+| -------------- | -------------- |
+| Tính năng ưu tiên cao được gắn nhãn bởi thành viên nhóm | Ưu tiên cao |
+| Yêu cầu tính năng phổ biến từ [bảng phản hồi cộng đồng](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Ưu tiên trung bình |
+| Tính năng không cốt lõi và cải tiến nhỏ | Ưu tiên thấp |
+| Có giá trị nhưng không cấp bách | Tính năng tương lai |
 
 ## Gửi PR của bạn
 
 ### Quy trình tạo Pull Request
 
 1. Fork repository
-2. Trước khi soạn PR, vui lòng tạo issue để thảo luận về các thay đổi bạn muốn thực hiện
-3. Tạo nhánh mới cho các thay đổi của bạn
-4. Vui lòng thêm test cho các thay đổi tương ứng
-5. Đảm bảo code của bạn vượt qua các test hiện có
-6. Vui lòng liên kết issue trong mô tả PR, `fixes #<số_issue>`
-7. Được merge!
+1. Trước khi soạn PR, vui lòng tạo issue để thảo luận về các thay đổi bạn muốn thực hiện
+1. Tạo nhánh mới cho các thay đổi của bạn
+1. Vui lòng thêm test cho các thay đổi tương ứng
+1. Đảm bảo code của bạn vượt qua các test hiện có
+1. Vui lòng liên kết issue trong mô tả PR, `fixes #<số_issue>`
+1. Được merge!
 
 ### Thiết lập dự án
 
@@ -84,6 +84,7 @@ Cách chúng tôi ưu tiên:
 #### Các điểm cần lưu ý khác
 
 Chúng tôi khuyến nghị xem xét kỹ tài liệu này trước khi tiến hành thiết lập, vì nó chứa thông tin thiết yếu về:
+
 - Điều kiện tiên quyết và dependencies
 - Các bước cài đặt
 - Chi tiết cấu hình
@@ -94,4 +95,3 @@ Chúng tôi khuyến nghị xem xét kỹ tài liệu này trước khi tiến h
 ## Nhận trợ giúp
 
 Nếu bạn bị mắc kẹt hoặc có câu hỏi cấp bách trong quá trình đóng góp, chỉ cần gửi câu hỏi của bạn thông qua issue GitHub liên quan, hoặc tham gia [Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi để trò chuyện nhanh.
-

Makefile

@@ -4,6 +4,73 @@ WEB_IMAGE=$(DOCKER_REGISTRY)/dify-web
 API_IMAGE=$(DOCKER_REGISTRY)/dify-api
 VERSION=latest
 
+# Default target - show help
+.DEFAULT_GOAL := help
+
+# Backend Development Environment Setup
+.PHONY: dev-setup prepare-docker prepare-web prepare-api
+
+# Dev setup target
+dev-setup: prepare-docker prepare-web prepare-api
+	@echo "✅ Backend development environment setup complete!"
+
+# Step 1: Prepare Docker middleware
+prepare-docker:
+	@echo "🐳 Setting up Docker middleware..."
+	@cp -n docker/middleware.env.example docker/middleware.env 2>/dev/null || echo "Docker middleware.env already exists"
+	@cd docker && docker compose -f docker-compose.middleware.yaml --env-file middleware.env -p dify-middlewares-dev up -d
+	@echo "✅ Docker middleware started"
+
+# Step 2: Prepare web environment
+prepare-web:
+	@echo "🌐 Setting up web environment..."
+	@cp -n web/.env.example web/.env 2>/dev/null || echo "Web .env already exists"
+	@cd web && pnpm install
+	@cd web && pnpm build
+	@echo "✅ Web environment prepared (not started)"
+
+# Step 3: Prepare API environment
+prepare-api:
+	@echo "🔧 Setting up API environment..."
+	@cp -n api/.env.example api/.env 2>/dev/null || echo "API .env already exists"
+	@cd api && uv sync --dev
+	@cd api && uv run flask db upgrade
+	@echo "✅ API environment prepared (not started)"
+
+# Clean dev environment
+dev-clean:
+	@echo "⚠️  Stopping Docker containers..."
+	@cd docker && docker compose -f docker-compose.middleware.yaml --env-file middleware.env -p dify-middlewares-dev down
+	@echo "🗑️  Removing volumes..."
+	@rm -rf docker/volumes/db
+	@rm -rf docker/volumes/redis
+	@rm -rf docker/volumes/plugin_daemon
+	@rm -rf docker/volumes/weaviate
+	@rm -rf api/storage
+	@echo "✅ Cleanup complete"
+
+# Backend Code Quality Commands
+format:
+	@echo "🎨 Running ruff format..."
+	@uv run --project api --dev ruff format ./api
+	@echo "✅ Code formatting complete"
+
+check:
+	@echo "🔍 Running ruff check..."
+	@uv run --project api --dev ruff check ./api
+	@echo "✅ Code check complete"
+
+lint:
+	@echo "🔧 Running ruff format, check with fixes, and import linter..."
+	@uv run --project api --dev sh -c 'ruff format ./api && ruff check --fix ./api'
+	@uv run --directory api --dev lint-imports
+	@echo "✅ Linting complete"
+
+type-check:
+	@echo "📝 Running type check with basedpyright..."
+	@uv run --directory api --dev basedpyright
+	@echo "✅ Type check complete"
+
 # Build Docker images
 build-web:
 	@echo "Building web Docker image: $(WEB_IMAGE):$(VERSION)..."
@@ -39,5 +106,27 @@ build-push-web: build-web push-web
 build-push-all: build-all push-all
 	@echo "All Docker images have been built and pushed."
 
+# Help target
+help:
+	@echo "Development Setup Targets:"
+	@echo "  make dev-setup      - Run all setup steps for backend dev environment"
+	@echo "  make prepare-docker - Set up Docker middleware"
+	@echo "  make prepare-web    - Set up web environment"
+	@echo "  make prepare-api    - Set up API environment"
+	@echo "  make dev-clean      - Stop Docker middleware containers"
+	@echo ""
+	@echo "Backend Code Quality:"
+	@echo "  make format         - Format code with ruff"
+	@echo "  make check          - Check code with ruff"
+	@echo "  make lint           - Format and fix code with ruff"
+	@echo "  make type-check     - Run type checking with basedpyright"
+	@echo ""
+	@echo "Docker Build Targets:"
+	@echo "  make build-web      - Build web Docker image"
+	@echo "  make build-api      - Build API Docker image"
+	@echo "  make build-all      - Build all Docker images"
+	@echo "  make push-all       - Push all Docker images"
+	@echo "  make build-push-all - Build and push all Docker images"
+
 # Phony targets
-.PHONY: build-web build-api push-web push-api build-all push-all build-push-all
+.PHONY: build-web build-api push-web push-api build-all push-all build-push-all dev-setup prepare-docker prepare-web prepare-api dev-clean help format check lint type-check

README.md

@@ -107,74 +107,6 @@ Monitor and analyze application logs and performance over time. You could contin
 **7. Backend-as-a-Service**:
 All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
 
-## Feature Comparison
-
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Feature</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">Programming Approach</td>
-    <td align="center">API + App-oriented</td>
-    <td align="center">Python Code</td>
-    <td align="center">App-oriented</td>
-    <td align="center">API-oriented</td>
-  </tr>
-  <tr>
-    <td align="center">Supported LLMs</td>
-    <td align="center">Rich Variety</td>
-    <td align="center">Rich Variety</td>
-    <td align="center">Rich Variety</td>
-    <td align="center">OpenAI-only</td>
-  </tr>
-  <tr>
-    <td align="center">RAG Engine</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Agent</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Workflow</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Observability</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Enterprise Feature (SSO/Access control)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Local Deployment</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
-
 ## Using Dify
 
 - **Cloud </br>**
@@ -185,7 +117,8 @@ All of Dify's offerings come with corresponding APIs, so you could effortlessly
   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. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
+  We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%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
@@ -225,20 +158,20 @@ Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)
 
 ##### AWS
 
-- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Using Alibaba Cloud Computing Nest
 
-Quickly deploy Dify to Alibaba cloud with [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) 
+Quickly deploy Dify to Alibaba cloud with [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
 
 #### Using Alibaba Cloud Data Management
 
-One-Click deploy Dify to Alibaba Cloud with [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) 
+One-Click deploy Dify to Alibaba Cloud with [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
 
 #### Deploy to AKS with Azure Devops Pipeline
 
-One-Click deploy Dify to AKS with [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) 
-
+One-Click deploy Dify to AKS with [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
 
 ## Contributing
 

README_AR.md

@@ -52,7 +52,7 @@
 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.
+**1. سير العمل**: قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر.
 
 **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).
 
@@ -68,88 +68,20 @@
 
 **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.
+  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.
+  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>
+  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=%5BGitHub%5DBusiness%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.
@@ -157,11 +89,11 @@
 ![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
+> - معالج >= 2 نواة
+> - ذاكرة وصول عشوائي (RAM) >= 4 جيجابايت
 
 </br>
 
@@ -208,11 +140,13 @@ docker compose up -d
 
 ##### AWS
 
-- [AWS CDK بواسطة @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK بواسطة @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK بواسطة @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### استخدام Alibaba Cloud للنشر
- [بسرعة نشر Dify إلى سحابة علي بابا مع عش الحوسبة السحابية علي بابا](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
- 
+
+[بسرعة نشر Dify إلى سحابة علي بابا مع عش الحوسبة السحابية علي بابا](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+
 #### استخدام Alibaba Cloud Data Management للنشر
 
 انشر ​​Dify على علي بابا كلاود بنقرة واحدة باستخدام [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
@@ -221,7 +155,6 @@ docker compose up -d
 
 انشر Dify على AKS بنقرة واحدة باستخدام [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
 
-
 ## المساهمة
 
 لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا.
@@ -236,6 +169,7 @@ docker compose up -d
 </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).
 - [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.

README_BN.md

@@ -56,133 +56,67 @@
 ডিফাই একটি ওপেন-সোর্স LLM অ্যাপ ডেভেলপমেন্ট প্ল্যাটফর্ম। এটি ইন্টুইটিভ ইন্টারফেস, এজেন্টিক AI ওয়ার্কফ্লো, RAG পাইপলাইন, এজেন্ট ক্যাপাবিলিটি, মডেল ম্যানেজমেন্ট, মনিটরিং সুবিধা এবং আরও অনেক কিছু একত্রিত করে, যা দ্রুত প্রোটোটাইপ থেকে প্রোডাকশন পর্যন্ত নিয়ে যেতে সহায়তা করে।
 
 ## কুইক স্টার্ট
+
+> ডিফাই ইনস্টল করার আগে, নিশ্চিত করুন যে আপনার মেশিন নিম্নলিখিত ন্যূনতম কনফিগারেশনের প্রয়োজনীয়তা পূরন করে :
 >
->  ডিফাই ইনস্টল করার আগে, নিশ্চিত করুন যে আপনার মেশিন নিম্নলিখিত ন্যূনতম কনফিগারেশনের প্রয়োজনীয়তা পূরন করে :
->
->- সিপিউ >= 2 কোর
->- র‍্যাম >= 4 জিবি
+> - সিপিউ >= 2 কোর
+> - র‍্যাম >= 4 জিবি
 
 </br>
 
 ডিফাই সার্ভার চালু করার সবচেয়ে সহজ উপায় [docker compose](docker/docker-compose.yaml) মাধ্যমে। নিম্নলিখিত কমান্ডগুলো ব্যবহার করে ডিফাই চালানোর আগে, নিশ্চিত করুন যে আপনার মেশিনে [Docker](https://docs.docker.com/get-docker/) এবং [Docker Compose](https://docs.docker.com/compose/install/) ইনস্টল করা আছে :
+
 ```bash
 cd dify
 cd docker
 cp .env.example .env
 docker compose up -d
 ```
+
 চালানোর পর, আপনি আপনার ব্রাউজারে [http://localhost/install](http://localhost/install)-এ ডিফাই ড্যাশবোর্ডে অ্যাক্সেস করতে পারেন এবং ইনিশিয়ালাইজেশন প্রক্রিয়া শুরু করতে পারেন।
 
 #### সাহায্যের খোঁজে
 
-ডিফাই সেট আপ করতে সমস্যা হলে দয়া করে আমাদের [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) দেখুন। যদি তবুও সমস্যা থেকে থাকে, তাহলে [কমিউনিটি এবং আমাদের](#community--contact)  সাথে যোগাযোগ করুন।
+ডিফাই সেট আপ করতে সমস্যা হলে দয়া করে আমাদের [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) দেখুন। যদি তবুও সমস্যা থেকে থাকে, তাহলে [কমিউনিটি এবং আমাদের](#community--contact) সাথে যোগাযোগ করুন।
 
 > যদি আপনি ডিফাইতে অবদান রাখতে বা অতিরিক্ত উন্নয়ন করতে চান, আমাদের [সোর্স কোড থেকে ডিপ্লয়মেন্টের গাইড](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) দেখুন।
 
 ## প্রধান ফিচারসমূহ
 
 **১. ওয়ার্কফ্লো**:
-    ভিজ্যুয়াল ক্যানভাসে  AI ওয়ার্কফ্লো তৈরি এবং পরীক্ষা করুন, নিম্নলিখিত সব ফিচার এবং  তার বাইরেও আরও অনেক কিছু ব্যবহার করে।
+ভিজ্যুয়াল ক্যানভাসে AI ওয়ার্কফ্লো তৈরি এবং পরীক্ষা করুন, নিম্নলিখিত সব ফিচার এবং তার বাইরেও আরও অনেক কিছু ব্যবহার করে।
 
-**২.  মডেল সাপোর্ট**:
-  GPT, Mistral, Llama3, এবং যেকোনো OpenAI API-সামঞ্জস্যপূর্ণ মডেলসহ, কয়েক ডজন ইনফারেন্স প্রদানকারী এবং সেল্ফ-হোস্টেড সমাধান থেকে শুরু করে প্রোপ্রাইটরি/ওপেন-সোর্স LLM-এর সাথে সহজে ইন্টিগ্রেশন। সমর্থিত মডেল প্রদানকারীদের একটি সম্পূর্ণ তালিকা পাওয়া যাবে [এখানে](https://docs.dify.ai/getting-started/readme/model-providers)।
+**২. মডেল সাপোর্ট**:
+GPT, Mistral, Llama3, এবং যেকোনো OpenAI API-সামঞ্জস্যপূর্ণ মডেলসহ, কয়েক ডজন ইনফারেন্স প্রদানকারী এবং সেল্ফ-হোস্টেড সমাধান থেকে শুরু করে প্রোপ্রাইটরি/ওপেন-সোর্স LLM-এর সাথে সহজে ইন্টিগ্রেশন। সমর্থিত মডেল প্রদানকারীদের একটি সম্পূর্ণ তালিকা পাওয়া যাবে [এখানে](https://docs.dify.ai/getting-started/readme/model-providers)।
 
 ![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
-**3.  প্রম্পট IDE**:
-      প্রম্পট তৈরি, মডেলের পারফরম্যান্স তুলনা এবং চ্যাট-বেজড অ্যাপে টেক্সট-টু-স্পিচের মতো  বৈশিষ্ট্য যুক্ত করার জন্য ইন্টুইটিভ ইন্টারফেস। 
+**3. প্রম্পট IDE**:
+প্রম্পট তৈরি, মডেলের পারফরম্যান্স তুলনা এবং চ্যাট-বেজড অ্যাপে টেক্সট-টু-স্পিচের মতো বৈশিষ্ট্য যুক্ত করার জন্য ইন্টুইটিভ ইন্টারফেস।
 
 **4. RAG পাইপলাইন**:
-      ডকুমেন্ট ইনজেশন থেকে শুরু করে রিট্রিভ পর্যন্ত সবকিছুই বিস্তৃত RAG ক্যাপাবিলিটির আওতাভুক্ত।  PDF, PPT এবং অন্যান্য সাধারণ ডকুমেন্ট ফর্ম্যাট থেকে টেক্সট এক্সট্রাকশনের জন্য আউট-অফ-বক্স সাপোর্ট। 
+ডকুমেন্ট ইনজেশন থেকে শুরু করে রিট্রিভ পর্যন্ত সবকিছুই বিস্তৃত RAG ক্যাপাবিলিটির আওতাভুক্ত। PDF, PPT এবং অন্যান্য সাধারণ ডকুমেন্ট ফর্ম্যাট থেকে টেক্সট এক্সট্রাকশনের জন্য আউট-অফ-বক্স সাপোর্ট।
 
-**5.  এজেন্ট ক্যাপাবিলিটি**:
-  LLM ফাংশন কলিং বা ReAct উপর ভিত্তি করে এজেন্ট ডিফাইন করতে পারেন এবং এজেন্টের জন্য পূর্ব-নির্মিত বা কাস্টম টুলস যুক্ত করতে পারেন। Dify AI এজেন্টদের জন্য 50+ বিল্ট-ইন টুলস সরবরাহ করে, যেমন Google Search, DALL·E, Stable Diffusion এবং WolframAlpha।
+**5. এজেন্ট ক্যাপাবিলিটি**:
+LLM ফাংশন কলিং বা ReAct উপর ভিত্তি করে এজেন্ট ডিফাইন করতে পারেন এবং এজেন্টের জন্য পূর্ব-নির্মিত বা কাস্টম টুলস যুক্ত করতে পারেন। Dify AI এজেন্টদের জন্য 50+ বিল্ট-ইন টুলস সরবরাহ করে, যেমন Google Search, DALL·E, Stable Diffusion এবং WolframAlpha।
 
-**6.  এলএলএম-অপ্স**:
-      সময়ের সাথে সাথে অ্যাপ্লিকেশন লগ এবং পারফরম্যান্স মনিটর এবং বিশ্লেষণ করুন।  প্রডাকশন ডেটা এবং annotation এর উপর ভিত্তি করে প্রম্পট, ডেটাসেট এবং মডেলগুলিকে ক্রমাগত উন্নত করতে পারেন।
+**6. এলএলএম-অপ্স**:
+সময়ের সাথে সাথে অ্যাপ্লিকেশন লগ এবং পারফরম্যান্স মনিটর এবং বিশ্লেষণ করুন। প্রডাকশন ডেটা এবং annotation এর উপর ভিত্তি করে প্রম্পট, ডেটাসেট এবং মডেলগুলিকে ক্রমাগত উন্নত করতে পারেন।
 
 **7. ব্যাকএন্ড-অ্যাজ-এ-সার্ভিস**:
-    ডিফাই-এর সমস্ত অফার সংশ্লিষ্ট API-সহ আছে, যাতে আপনি অনায়াসে ডিফাইকে আপনার নিজস্ব বিজনেস লজিকে ইন্টেগ্রেট করতে পারেন।
+ডিফাই-এর সমস্ত অফার সংশ্লিষ্ট API-সহ আছে, যাতে আপনি অনায়াসে ডিফাইকে আপনার নিজস্ব বিজনেস লজিকে ইন্টেগ্রেট করতে পারেন।
 
-## বৈশিষ্ট্য তুলনা
-
-<table style="width: 100%;">
-  <tr>
-    <th align="center">বৈশিষ্ট্য</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">প্রোগ্রামিং পদ্ধতি</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">সাপোর্টেড 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 ইঞ্জিন</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">এজেন্ট</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">ওয়ার্কফ্লো</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">অবজার্ভেবল</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">এন্টারপ্রাইজ ফিচার (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">লোকাল ডেপ্লয়মেন্ট</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
-
-## ডিফাই-এর ব্যবহার 
+## ডিফাই-এর ব্যবহার
 
 - **ক্লাউড </br>**
-জিরো সেটাপে ব্যবহার করতে আমাদের [Dify Cloud](https://dify.ai) সার্ভিসটি ব্যবহার করতে পারেন। এখানে সেল্ফহোস্টিং-এর সকল ফিচার ও ক্যাপাবিলিটিসহ স্যান্ডবক্সে ২০০ জিপিটি-৪ কল ফ্রি পাবেন।
+  জিরো সেটাপে ব্যবহার করতে আমাদের [Dify Cloud](https://dify.ai) সার্ভিসটি ব্যবহার করতে পারেন। এখানে সেল্ফহোস্টিং-এর সকল ফিচার ও ক্যাপাবিলিটিসহ স্যান্ডবক্সে ২০০ জিপিটি-৪ কল ফ্রি পাবেন।
 
 - **সেল্ফহোস্টিং ডিফাই কমিউনিটি সংস্করণ</br>**
-সেল্ফহোস্ট করতে এই [স্টার্টার গাইড](#quick-start) ব্যবহার করে দ্রুত আপনার এনভায়রনমেন্টে ডিফাই চালান।
-আরো ইন-ডেপথ রেফারেন্সের জন্য [ডকুমেন্টেশন](https://docs.dify.ai) দেখেন।
+  সেল্ফহোস্ট করতে এই [স্টার্টার গাইড](#quick-start) ব্যবহার করে দ্রুত আপনার এনভায়রনমেন্টে ডিফাই চালান।
+  আরো ইন-ডেপথ রেফারেন্সের জন্য [ডকুমেন্টেশন](https://docs.dify.ai) দেখেন।
 
 - **এন্টারপ্রাইজ / প্রতিষ্ঠানের জন্য Dify</br>**
-আমরা এন্টারপ্রাইজ/প্রতিষ্ঠান-কেন্দ্রিক সেবা প্রদান করে থাকি  । [এই চ্যাটবটের মাধ্যমে আপনার প্রশ্নগুলি আমাদের জন্য লগ করুন।](https://udify.app/chat/22L1zSxg6yW1cWQg) অথবা [আমাদের ইমেল পাঠান](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) আপনার চাহিদা সম্পর্কে আলোচনা করার জন্য। </br>
+  আমরা এন্টারপ্রাইজ/প্রতিষ্ঠান-কেন্দ্রিক সেবা প্রদান করে থাকি । [এই চ্যাটবটের মাধ্যমে আপনার প্রশ্নগুলি আমাদের জন্য লগ করুন।](https://udify.app/chat/22L1zSxg6yW1cWQg) অথবা [আমাদের ইমেল পাঠান](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) আপনার চাহিদা সম্পর্কে আলোচনা করার জন্য। </br>
 
   > AWS ব্যবহারকারী স্টার্টআপ এবং ছোট ব্যবসার জন্য, [AWS মার্কেটপ্লেসে Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) দেখুন এবং এক-ক্লিকের মাধ্যমে এটি আপনার নিজস্ব AWS VPC-তে ডিপ্লয় করুন। এটি একটি সাশ্রয়ী মূল্যের AMI অফার, যাতে কাস্টম লোগো এবং ব্র্যান্ডিং সহ অ্যাপ তৈরির সুবিধা আছে।
 
@@ -194,10 +128,10 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
 
 ## Advanced Setup
 
-যদি আপনার কনফিগারেশনটি কাস্টমাইজ করার প্রয়োজন হয়, তাহলে অনুগ্রহ করে আমাদের [.env.example](docker/.env.example) ফাইল দেখুন এবং আপনার `.env` ফাইলে সংশ্লিষ্ট মানগুলি আপডেট করুন। এছাড়াও, আপনার নির্দিষ্ট এনভায়রনমেন্ট এবং প্রয়োজনীয়তার উপর ভিত্তি করে আপনাকে `docker-compose.yaml` ফাইলে সমন্বয় করতে হতে পারে, যেমন ইমেজ ভার্সন পরিবর্তন করা, পোর্ট ম্যাপিং করা, অথবা ভলিউম মাউন্ট করা। 
+যদি আপনার কনফিগারেশনটি কাস্টমাইজ করার প্রয়োজন হয়, তাহলে অনুগ্রহ করে আমাদের [.env.example](docker/.env.example) ফাইল দেখুন এবং আপনার `.env` ফাইলে সংশ্লিষ্ট মানগুলি আপডেট করুন। এছাড়াও, আপনার নির্দিষ্ট এনভায়রনমেন্ট এবং প্রয়োজনীয়তার উপর ভিত্তি করে আপনাকে `docker-compose.yaml` ফাইলে সমন্বয় করতে হতে পারে, যেমন ইমেজ ভার্সন পরিবর্তন করা, পোর্ট ম্যাপিং করা, অথবা ভলিউম মাউন্ট করা।
 যেকোনো পরিবর্তন করার পর, অনুগ্রহ করে `docker-compose up -d` পুনরায় চালান। ভেরিয়েবলের সম্পূর্ণ তালিকা [এখানে] (https://docs.dify.ai/getting-started/install-self-hosted/environments) খুঁজে পেতে পারেন।
 
-যদি আপনি একটি হাইলি এভেইলেবল সেটআপ কনফিগার করতে চান, তাহলে কমিউনিটি  [Helm Charts](https://helm.sh/) এবং YAML ফাইল রয়েছে যা Dify কে Kubernetes-এ ডিপ্লয় করার প্রক্রিয়া বর্ণনা করে।
+যদি আপনি একটি হাইলি এভেইলেবল সেটআপ কনফিগার করতে চান, তাহলে কমিউনিটি [Helm Charts](https://helm.sh/) এবং YAML ফাইল রয়েছে যা Dify কে Kubernetes-এ ডিপ্লয় করার প্রক্রিয়া বর্ণনা করে।
 
 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
@@ -206,7 +140,6 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
 - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
 - [🚀 নতুন! YAML ফাইলসমূহ (Dify v1.6.0 সমর্থিত) তৈরি করেছেন @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
-
 #### টেরাফর্ম ব্যবহার করে ডিপ্লয়
 
 [terraform](https://www.terraform.io/) ব্যবহার করে এক ক্লিকেই ক্লাউড প্ল্যাটফর্মে Dify ডিপ্লয় করুন।
@@ -225,21 +158,21 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
 
 ##### AWS
 
-- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Alibaba Cloud ব্যবহার করে ডিপ্লয়
 
- [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
+[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
 
 #### Alibaba Cloud Data Management ব্যবহার করে ডিপ্লয়
 
- [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
+[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
 
- #### AKS-এ ডিপ্লয় করার জন্য Azure Devops Pipeline ব্যবহার
+#### AKS-এ ডিপ্লয় করার জন্য Azure Devops Pipeline ব্যবহার
 
 [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) ব্যবহার করে Dify কে AKS-এ এক ক্লিকে ডিপ্লয় করুন
 
-
 ## Contributing
 
 যারা কোড অবদান রাখতে চান, তাদের জন্য আমাদের [অবদান নির্দেশিকা] দেখুন (https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)।
@@ -250,9 +183,9 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
 ## কমিউনিটি এবং যোগাযোগ
 
 - [GitHub Discussion](https://github.com/langgenius/dify/discussions) ফিডব্যাক এবং প্রতিক্রিয়া জানানোর মাধ্যম।
-- [GitHub Issues](https://github.com/langgenius/dify/issues). Dify.AI ব্যবহার করে আপনি যেসব বাগের সম্মুখীন হন এবং ফিচার প্রস্তাবনা।  আমাদের [অবদান নির্দেশিকা](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) দেখুন।
-- [Discord](https://discord.gg/FngNHpbcY7) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম। 
-- [X(Twitter)](https://twitter.com/dify_ai) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম। 
+- [GitHub Issues](https://github.com/langgenius/dify/issues). Dify.AI ব্যবহার করে আপনি যেসব বাগের সম্মুখীন হন এবং ফিচার প্রস্তাবনা। আমাদের [অবদান নির্দেশিকা](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) দেখুন।
+- [Discord](https://discord.gg/FngNHpbcY7) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম।
+- [X(Twitter)](https://twitter.com/dify_ai) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম।
 
 **অবদানকারীদের তালিকা**
 
@@ -264,7 +197,7 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-## নিরাপত্তা  বিষয়ক
+## নিরাপত্তা বিষয়ক
 
 আপনার গোপনীয়তা রক্ষা করতে, অনুগ্রহ করে GitHub-এ নিরাপত্তা সংক্রান্ত সমস্যা পোস্ট করা এড়িয়ে চলুন। পরিবর্তে, আপনার প্রশ্নগুলি <security@dify.ai> ঠিকানায় পাঠান এবং আমরা আপনাকে আরও বিস্তারিত উত্তর প্রদান করব।
 

README_CN.md

@@ -48,8 +48,7 @@
   <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </div>
 
-
-#
+# 
 
 <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>
@@ -58,109 +57,41 @@
 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>
 
-**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。
+**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。
 
-**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。
+**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。
 
-**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。
 
-**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、DALL·E、Stable Diffusion 和 WolframAlpha 等。
 
-**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、DALL·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。
 
-**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>
+**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。
 
 ## 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。
+  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](#快速启动)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。
+  使用这个[入门指南](#%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8)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。[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>
+  我们提供额外的面向企业的功能。[给我们发送电子邮件](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%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
@@ -199,31 +130,37 @@ docker compose up -d
 使用 [Helm Chart](https://helm.sh/) 版本或者 Kubernetes 资源清单（YAML），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)
+
 - [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
+
 - [YAML 文件 by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+
 - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
 
 - [🚀 NEW! YAML 文件 (支持 Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
-
-
 #### 使用 Terraform 部署
 
 使用 [terraform](https://www.terraform.io/) 一键将 Dify 部署到云平台
 
 ##### Azure Global
+
 - [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### 使用 AWS CDK 部署
 
 使用 [CDK](https://aws.amazon.com/cdk/) 将 Dify 部署到 AWS
 
-##### AWS 
-- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+##### AWS
+
+- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### 使用 阿里云计算巢 部署
 
@@ -241,10 +178,9 @@ 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)。
+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_CN.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-config/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。
@@ -261,10 +197,10 @@ docker compose up -d
 
 - [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。
+- [电子邮件支持](mailto:hello@dify.ai?subject=%5BGitHub%5DQuestions%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。
 - [X(Twitter)](https://twitter.com/dify_ai)。👉：分享您的应用程序并与社区交流。
-- [商业许可](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。👉：有关商业用途许可 Dify.AI 的商业咨询。
+- [商业许可](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry)。👉：有关商业用途许可 Dify.AI 的商业咨询。
 
 ## 安全问题
 

README_DE.md

@@ -56,10 +56,11 @@
 Dify ist eine Open-Source-Plattform zur Entwicklung von LLM-Anwendungen. Ihre intuitive Benutzeroberfläche vereint agentenbasierte KI-Workflows, RAG-Pipelines, Agentenfunktionen, Modellverwaltung, Überwachungsfunktionen und mehr, sodass Sie schnell von einem Prototyp in die Produktion übergehen können.
 
 ## Schnellstart
+
 > Bevor Sie Dify installieren, stellen Sie sicher, dass Ihr System die folgenden Mindestanforderungen erfüllt:
-> 
->- CPU >= 2 Core
->- RAM >= 4 GiB
+>
+> - CPU >= 2 Core
+> - RAM >= 4 GiB
 
 </br>
 
@@ -75,115 +76,48 @@ docker compose up -d
 Nachdem Sie den Server gestartet haben, können Sie über Ihren Browser auf das Dify Dashboard unter [http://localhost/install](http://localhost/install) zugreifen und den Initialisierungsprozess starten.
 
 #### Hilfe suchen
+
 Bitte beachten Sie unsere [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs), wenn Sie Probleme bei der Einrichtung von Dify haben. Wenden Sie sich an [die Community und uns](#community--contact), falls weiterhin Schwierigkeiten auftreten.
 
 > Wenn Sie zu Dify beitragen oder zusätzliche Entwicklungen durchführen möchten, lesen Sie bitte unseren [Leitfaden zur Bereitstellung aus dem Quellcode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code).
 
 ## Wesentliche Merkmale
-**1. Workflow**: 
-  Erstellen und testen Sie leistungsstarke KI-Workflows auf einer visuellen Oberfläche, wobei Sie alle der folgenden Funktionen und darüber hinaus nutzen können.
 
-**2. Umfassende Modellunterstützung**: 
-  Nahtlose Integration mit Hunderten von proprietären und Open-Source-LLMs von Dutzenden Inferenzanbietern und selbstgehosteten Lösungen, die GPT, Mistral, Llama3 und alle mit der OpenAI API kompatiblen Modelle abdecken. Eine vollständige Liste der unterstützten Modellanbieter finden Sie [hier](https://docs.dify.ai/getting-started/readme/model-providers).
+**1. Workflow**:
+Erstellen und testen Sie leistungsstarke KI-Workflows auf einer visuellen Oberfläche, wobei Sie alle der folgenden Funktionen und darüber hinaus nutzen können.
 
+**2. Umfassende Modellunterstützung**:
+Nahtlose Integration mit Hunderten von proprietären und Open-Source-LLMs von Dutzenden Inferenzanbietern und selbstgehosteten Lösungen, die GPT, Mistral, Llama3 und alle mit der OpenAI API kompatiblen Modelle abdecken. Eine vollständige Liste der unterstützten Modellanbieter finden Sie [hier](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 Benutzeroberfläche zum Erstellen von Prompts, zum Vergleichen der Modellleistung und zum Hinzufügen zusätzlicher Funktionen wie Text-to-Speech in einer chatbasierten Anwendung.
 
-**3. Prompt IDE**: 
-  Intuitive Benutzeroberfläche zum Erstellen von Prompts, zum Vergleichen der Modellleistung und zum Hinzufügen zusätzlicher Funktionen wie Text-to-Speech in einer chatbasierten Anwendung.
+**4. RAG Pipeline**:
+Umfassende RAG-Funktionalitäten, die alles von der Dokumenteneinlesung bis zur -abfrage abdecken, mit sofort einsatzbereiter Unterstützung für die Textextraktion aus PDFs, PPTs und anderen gängigen Dokumentformaten.
 
-**4. RAG Pipeline**: 
-  Umfassende RAG-Funktionalitäten, die alles von der Dokumenteneinlesung bis zur -abfrage abdecken, mit sofort einsatzbereiter Unterstützung für die Textextraktion aus PDFs, PPTs und anderen gängigen Dokumentformaten.
+**5. Fähigkeiten des Agenten**:
+Sie können Agenten basierend auf LLM Function Calling oder ReAct definieren und vorgefertigte oder benutzerdefinierte Tools für den Agenten hinzufügen. Dify stellt über 50 integrierte Tools für KI-Agenten bereit, wie zum Beispiel Google Search, DALL·E, Stable Diffusion und WolframAlpha.
 
-**5. Fähigkeiten des Agenten**: 
-  Sie können Agenten basierend auf LLM Function Calling oder ReAct definieren und vorgefertigte oder benutzerdefinierte Tools für den Agenten hinzufügen. Dify stellt über 50 integrierte Tools für KI-Agenten bereit, wie zum Beispiel Google Search, DALL·E, Stable Diffusion und WolframAlpha.
+**6. LLMOps**:
+Überwachen und analysieren Sie Anwendungsprotokolle und die Leistung im Laufe der Zeit. Sie können kontinuierlich Prompts, Datensätze und Modelle basierend auf Produktionsdaten und Annotationen verbessern.
 
-**6. LLMOps**: 
-  Überwachen und analysieren Sie Anwendungsprotokolle und die Leistung im Laufe der Zeit. Sie können kontinuierlich Prompts, Datensätze und Modelle basierend auf Produktionsdaten und Annotationen verbessern.
-
-**7. Backend-as-a-Service**: 
-  Alle Dify-Angebote kommen mit entsprechenden APIs, sodass Sie Dify mühelos in Ihre eigene Geschäftslogik integrieren können.
-
-## Vergleich der Merkmale
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Feature</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">Programming Approach</td>
-    <td align="center">API + App-oriented</td>
-    <td align="center">Python Code</td>
-    <td align="center">App-oriented</td>
-    <td align="center">API-oriented</td>
-  </tr>
-  <tr>
-    <td align="center">Supported LLMs</td>
-    <td align="center">Rich Variety</td>
-    <td align="center">Rich Variety</td>
-    <td align="center">Rich Variety</td>
-    <td align="center">OpenAI-only</td>
-  </tr>
-  <tr>
-    <td align="center">RAG Engine</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Agent</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Workflow</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Observability</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Enterprise Feature (SSO/Access control)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Local Deployment</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
+**7. Backend-as-a-Service**:
+Alle Dify-Angebote kommen mit entsprechenden APIs, sodass Sie Dify mühelos in Ihre eigene Geschäftslogik integrieren können.
 
 ## Dify verwenden
 
 - **Cloud </br>**
-Wir hosten einen [Dify Cloud](https://dify.ai)-Service, den jeder ohne Einrichtung ausprobieren kann. Er bietet alle Funktionen der selbstgehosteten Version und beinhaltet 200 kostenlose GPT-4-Aufrufe im Sandbox-Plan.
+  Wir hosten einen [Dify Cloud](https://dify.ai)-Service, den jeder ohne Einrichtung ausprobieren kann. Er bietet alle Funktionen der selbstgehosteten Version und beinhaltet 200 kostenlose GPT-4-Aufrufe im Sandbox-Plan.
 
 - **Selbstgehostete Dify Community Edition</br>**
-Starten Sie Dify schnell in Ihrer Umgebung mit diesem [Schnellstart-Leitfaden](#quick-start). Nutzen Sie unsere [Dokumentation](https://docs.dify.ai) für weiterführende Informationen und detaillierte Anweisungen.
+  Starten Sie Dify schnell in Ihrer Umgebung mit diesem [Schnellstart-Leitfaden](#quick-start). Nutzen Sie unsere [Dokumentation](https://docs.dify.ai) für weiterführende Informationen und detaillierte Anweisungen.
 
 - **Dify für Unternehmen / Organisationen</br>**
-Wir bieten zusätzliche, unternehmensspezifische Funktionen. [Über diesen Chatbot können Sie uns Ihre Fragen mitteilen](https://udify.app/chat/22L1zSxg6yW1cWQg) oder [senden Sie uns eine E-Mail](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry), um Ihre unternehmerischen Bedürfnisse zu besprechen. </br>
-  > Für Startups und kleine Unternehmen, die AWS nutzen, schauen Sie sich [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) an und stellen Sie es mit nur einem Klick in Ihrer eigenen AWS VPC bereit. Es handelt sich um ein erschwingliches AMI-Angebot mit der Option, Apps mit individuellem Logo und Branding zu erstellen.
+  Wir bieten zusätzliche, unternehmensspezifische Funktionen. [Über diesen Chatbot können Sie uns Ihre Fragen mitteilen](https://udify.app/chat/22L1zSxg6yW1cWQg) oder [senden Sie uns eine E-Mail](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry), um Ihre unternehmerischen Bedürfnisse zu besprechen. </br>
 
+  > Für Startups und kleine Unternehmen, die AWS nutzen, schauen Sie sich [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) an und stellen Sie es mit nur einem Klick in Ihrer eigenen AWS VPC bereit. Es handelt sich um ein erschwingliches AMI-Angebot mit der Option, Apps mit individuellem Logo und Branding zu erstellen.
 
 ## Immer einen Schritt voraus
 
@@ -191,7 +125,6 @@ Star Dify auf GitHub und lassen Sie sich sofort über neue Releases benachrichti
 
 ![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
 
-
 ## Erweiterte Einstellungen
 
 Falls Sie die Konfiguration anpassen müssen, lesen Sie bitte die Kommentare in unserer [.env.example](docker/.env.example)-Datei und aktualisieren Sie die entsprechenden Werte in Ihrer `.env`-Datei. Zusätzlich müssen Sie eventuell Anpassungen an der `docker-compose.yaml`-Datei vornehmen, wie zum Beispiel das Ändern von Image-Versionen, Portzuordnungen oder Volumen-Mounts, je nach Ihrer spezifischen Einsatzumgebung und Ihren Anforderungen. Nachdem Sie Änderungen vorgenommen haben, starten Sie `docker-compose up -d` erneut. Eine vollständige Liste der verfügbaren Umgebungsvariablen finden Sie [hier](https://docs.dify.ai/getting-started/install-self-hosted/environments).
@@ -210,19 +143,23 @@ Falls Sie eine hochverfügbare Konfiguration einrichten möchten, gibt es von de
 Stellen Sie Dify mit nur einem Klick mithilfe von [terraform](https://www.terraform.io/) auf einer Cloud-Plattform bereit.
 
 ##### Azure Global
+
 - [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### Verwendung von AWS CDK für die Bereitstellung
 
 Bereitstellung von Dify auf AWS mit [CDK](https://aws.amazon.com/cdk/)
 
-##### AWS 
-- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+##### AWS
 
-#### Alibaba Cloud 
+- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
+
+#### Alibaba Cloud
 
 [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
 
@@ -234,20 +171,18 @@ Ein-Klick-Bereitstellung von Dify in der Alibaba Cloud mit [Alibaba Cloud Data M
 
 Stellen Sie Dify mit einem Klick in AKS bereit, indem Sie [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) verwenden
 
-
 ## Contributing
 
-Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). Gleichzeitig bitten wir Sie, Dify zu unterstützen, indem Sie es in den sozialen Medien teilen und auf Veranstaltungen und Konferenzen präsentieren.
-
+Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_DE.md). Gleichzeitig bitten wir Sie, Dify zu unterstützen, indem Sie es in den sozialen Medien teilen und auf Veranstaltungen und Konferenzen präsentieren.
 
 > Wir suchen Mitwirkende, die dabei helfen, Dify in weitere Sprachen zu übersetzen – außer Mandarin oder Englisch. Wenn Sie Interesse an einer Mitarbeit haben, lesen Sie bitte die [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) für weitere Informationen und hinterlassen Sie einen Kommentar im `global-users`-Kanal unseres [Discord Community Servers](https://discord.gg/8Tpq4AcN9c).
 
 ## Gemeinschaft & Kontakt
 
-* [GitHub Discussion](https://github.com/langgenius/dify/discussions). Am besten geeignet für: den Austausch von Feedback und das Stellen von Fragen.
-* [GitHub Issues](https://github.com/langgenius/dify/issues). Am besten für: Fehler, auf die Sie bei der Verwendung von Dify.AI stoßen, und Funktionsvorschläge. Siehe unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
-* [Discord](https://discord.gg/FngNHpbcY7).  Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.
-* [X(Twitter)](https://twitter.com/dify_ai). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.
+- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Am besten geeignet für: den Austausch von Feedback und das Stellen von Fragen.
+- [GitHub Issues](https://github.com/langgenius/dify/issues). Am besten für: Fehler, auf die Sie bei der Verwendung von Dify.AI stoßen, und Funktionsvorschläge. Siehe unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+- [Discord](https://discord.gg/FngNHpbcY7). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.
+- [X(Twitter)](https://twitter.com/dify_ai). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.
 
 **Mitwirkende**
 
@@ -259,7 +194,6 @@ Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide](
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-
 ## Offenlegung der Sicherheit
 
 Um Ihre Privatsphäre zu schützen, vermeiden Sie es bitte, Sicherheitsprobleme auf GitHub zu posten. Schicken Sie Ihre Fragen stattdessen an security@dify.ai und wir werden Ihnen eine ausführlichere Antwort geben.
@@ -267,4 +201,3 @@ Um Ihre Privatsphäre zu schützen, vermeiden Sie es bitte, Sicherheitsprobleme
 ## Lizenz
 
 Dieses Repository steht unter der [Dify Open Source License](LICENSE), die im Wesentlichen Apache 2.0 mit einigen zusätzlichen Einschränkungen ist.
-

README_ES.md

@@ -48,7 +48,7 @@
   <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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>
@@ -56,111 +56,42 @@
 Dify es una plataforma de desarrollo de aplicaciones de LLM de código abierto. Su interfaz intuitiva combina flujo de trabajo de IA, pipeline RAG, capacidades de agente, gestión de modelos, características de observabilidad y más, lo que le permite pasar rápidamente de un prototipo a producción. Aquí hay una lista de las características principales:
 </br> </br>
 
-**1. Flujo de trabajo**: 
-  Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
+**1. Flujo de trabajo**:
+Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
 
-**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).
+**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).
 
 ![proveedores-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
+**3. IDE de prompt**:
+Interfaz intuitiva para crear prompts, comparar el rendimiento del modelo y agregar características adicionales como texto a voz a una aplicación basada en chat.
 
-**3. IDE de prompt**: 
-  Interfaz intuitiva para crear prompts, comparar el rendimiento del modelo y agregar características adicionales como texto a voz a una aplicación basada en chat. 
+**4. Pipeline RAG**:
+Amplias capacidades de RAG que cubren todo, desde la ingestión de documentos hasta la recuperación, con soporte listo para usar para la extracción de texto de PDF, PPT y otros formatos de documento comunes.
 
-**4. Pipeline RAG**: 
-  Amplias capacidades de RAG que cubren todo, desde la ingestión de documentos hasta la recuperación, con soporte listo para usar para la extracción de texto de PDF, PPT y otros formatos de documento comunes.
+**5. Capacidades de agente**:
+Puedes definir agentes 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, DALL·E, Difusión Estable y WolframAlpha.
 
-**5. Capacidades de agente**: 
-  Puedes definir agentes 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, DALL·E, Difusión Estable y WolframAlpha.
+**6. LLMOps**:
+Supervisa y analiza registros de aplicaciones y rendimiento a lo largo del tiempo. Podrías mejorar continuamente prompts, conjuntos de datos y modelos basados en datos de producción y anotaciones.
 
-**6. LLMOps**: 
-  Supervisa y analiza registros de aplicaciones y rendimiento a lo largo del tiempo. Podrías mejorar continuamente prompts, conjuntos de datos y modelos basados en datos de producción y anotaciones.
-
-**7. Backend como servicio**: 
-  Todas las ofertas de Dify vienen con APIs correspondientes, por lo que podrías integrar Dify sin esfuerzo en tu propia lógica empresarial.
-
-
-## Comparación de características
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Característica</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">API de Asistentes de OpenAI</th>
-  </tr>
-  <tr>
-    <td align="center">Enfoque de programación</td>
-    <td align="center">API + orientado a la aplicación</td>
-    <td align="center">Código Python</td>
-    <td align="center">Orientado a la aplicación</td>
-    <td align="center">Orientado a la API</td>
-  </tr>
-  <tr>
-    <td align="center">LLMs admitidos</td>
-    <td align="center">Gran variedad</td>
-    <td align="center">Gran variedad</td>
-    <td align="center">Gran variedad</td>
-    <td align="center">Solo OpenAI</td>
-  </tr>
-  <tr>
-    <td align="center">Motor RAG</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Agente</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Flujo de trabajo</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Observabilidad</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Característica empresarial (SSO/Control de acceso)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Implementación local</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
+**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.
 
 ## Usando Dify
 
 - **Nube </br>**
-Hospedamos un servicio [Dify Cloud](https://dify.ai) para que cualquiera lo pruebe sin configuración. Proporciona todas las capacidades de la versión autoimplementada e incluye 200 llamadas gratuitas a GPT-4 en el plan sandbox.
+  Hospedamos un servicio [Dify Cloud](https://dify.ai) para que cualquiera lo pruebe sin configuración. Proporciona todas las capacidades de la versión autoimplementada e incluye 200 llamadas gratuitas a GPT-4 en el plan sandbox.
 
 - **Auto-alojamiento de Dify Community Edition</br>**
-Pon rápidamente Dify en funcionamiento en tu entorno con esta [guía de inicio rápido](#quick-start).
-Usa nuestra [documentación](https://docs.dify.ai) para más referencias e instrucciones más detalladas.
+  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. [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.
+  Proporcionamos características adicionales centradas en la empresa. [Envíanos un correo electrónico](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%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
 
@@ -168,13 +99,12 @@ Dale estrella a Dify en GitHub y serás notificado instantáneamente de las nuev
 
 ![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
+>
+> - CPU >= 2 núcleos
+> - RAM >= 4GB
 
 </br>
 
@@ -210,17 +140,21 @@ Si desea configurar una configuración de alta disponibilidad, la comunidad prop
 Despliega Dify en una plataforma en la nube con un solo clic utilizando [terraform](https://www.terraform.io/)
 
 ##### Azure Global
+
 - [Azure Terraform por @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [Google Cloud Terraform por @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### Usando AWS CDK para el Despliegue
 
 Despliegue Dify en AWS usando [CDK](https://aws.amazon.com/cdk/)
 
-##### AWS 
-- [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+##### AWS
+
+- [AWS CDK por @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK por @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Alibaba Cloud
 
@@ -234,13 +168,11 @@ Despliega Dify en Alibaba Cloud con un solo clic con [Alibaba Cloud Data Managem
 
 Implementa Dify en AKS con un clic usando [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
 
-
 ## Contribuir
 
-Para aquellos que deseen contribuir con código, consulten nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+Para aquellos que deseen contribuir con código, consulten nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_ES.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-config/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**
@@ -251,15 +183,22 @@ Al mismo tiempo, considera apoyar a Dify compartiéndolo en redes sociales y en
 
 ## 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).
-* [Discord](https://discord.gg/FngNHpbcY7). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
-* [X(Twitter)](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
+- [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).
+- [Discord](https://discord.gg/FngNHpbcY7). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
+- [X(Twitter)](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
 
 ## Historial de Estrellas
 
 [![Gráfico de Historial de Estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
+## Divulgación de Seguridad
+
+Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En su lugar, envía tus preguntas a security@dify.ai y te proporcionaremos una respuesta más detallada.
+
+## Licencia
+
+Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.
 
 ## Divulgación de Seguridad
 
@@ -268,10 +207,3 @@ 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), que es esencialmente Apache 2.0 con algunas restricciones adicionales.
-## Divulgación de Seguridad
-
-Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En su lugar, envía tus preguntas a security@dify.ai y te proporcionaremos una respuesta más detallada.
-
-## Licencia
-
-Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.

README_FR.md

@@ -48,7 +48,7 @@
   <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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>
@@ -56,111 +56,42 @@
 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.
+**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.
 
-**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).
+**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.
 
-**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.
 
-**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. Capacités 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, DALL·E, Stable Diffusion et WolframAlpha.
 
-**5. Capacités 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, DALL·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.
 
-**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>
+**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.
 
 ## 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.
+  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.
+  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. [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.
+  Nous proposons des fonctionnalités supplémentaires adaptées aux entreprises. [Envoyez-nous un e-mail](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%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
 
@@ -168,13 +99,12 @@ Mettez une étoile à Dify sur GitHub et soyez instantanément informé des nouv
 
 ![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
+>
+> - CPU >= 2 cœurs
+> - RAM >= 4 Go
 
 </br>
 
@@ -208,17 +138,21 @@ Si vous souhaitez configurer une configuration haute disponibilité, la communau
 Déployez Dify sur une plateforme cloud en un clic en utilisant [terraform](https://www.terraform.io/)
 
 ##### Azure Global
+
 - [Azure Terraform par @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [Google Cloud Terraform par @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### Utilisation d'AWS CDK pour le déploiement
 
 Déployez Dify sur AWS en utilisant [CDK](https://aws.amazon.com/cdk/)
 
-##### AWS 
-- [AWS CDK par @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+##### AWS
+
+- [AWS CDK par @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK par @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Alibaba Cloud
 
@@ -232,13 +166,11 @@ Déployez Dify en un clic sur Alibaba Cloud avec [Alibaba Cloud Data Management]
 
 Déployez Dify sur AKS en un clic en utilisant [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
 
-
 ## Contribuer
 
-Pour ceux qui souhaitent contribuer du code, consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+Pour ceux qui souhaitent contribuer du code, consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_FR.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-config/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**
@@ -249,15 +181,22 @@ Dans le même temps, veuillez envisager de soutenir Dify en le partageant sur le
 
 ## 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).
-* [Discord](https://discord.gg/FngNHpbcY7). Meilleur pour: partager vos applications et passer du temps avec la communauté.
-* [X(Twitter)](https://twitter.com/dify_ai). Meilleur pour: partager vos applications et passer du temps avec la communauté.
+- [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).
+- [Discord](https://discord.gg/FngNHpbcY7). Meilleur pour: partager vos applications et passer du temps avec la communauté.
+- [X(Twitter)](https://twitter.com/dify_ai). Meilleur pour: partager vos applications et passer du temps avec la communauté.
 
 ## 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.
 
 ## Divulgation de sécurité
 
@@ -266,10 +205,3 @@ Pour protéger votre vie privée, veuillez éviter de publier des problèmes de
 ## Licence
 
 Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement l'Apache 2.0 avec quelques restrictions supplémentaires.
-## 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

@@ -48,7 +48,7 @@
   <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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>
@@ -58,110 +58,41 @@ 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
 </br> </br>
 
 **1. ワークフロー**:
-  強力なAIワークフローをビジュアルキャンバス上で構築し、テストできます。すべての機能、および以下の機能を使用できます。
+強力なAIワークフローをビジュアルキャンバス上で構築し、テストできます。すべての機能、および以下の機能を使用できます。
 
 **2. 総合的なモデルサポート**:
-  数百ものプロプライエタリ/オープンソースのLLMと、数十も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、OpenAI APIと互換性のあるすべてのモデルを統合されています。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。
+数百ものプロプライエタリ/オープンソースのLLMと、数十も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、OpenAI APIと互換性のあるすべてのモデルを統合されています。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。
 
 ![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
-
 **3. プロンプトIDE**:
-  プロンプトの作成、モデルパフォーマンスの比較が行え、チャットベースのアプリに音声合成などの機能も追加できます。
+プロンプトの作成、モデルパフォーマンスの比較が行え、チャットベースのアプリに音声合成などの機能も追加できます。
 
 **4. RAGパイプライン**:
-  ドキュメントの取り込みから検索までをカバーする広範なRAG機能ができます。ほかにもPDF、PPT、その他の一般的なドキュメントフォーマットからのテキスト抽出のサポートも提供します。
+ドキュメントの取り込みから検索までをカバーする広範なRAG機能ができます。ほかにもPDF、PPT、その他の一般的なドキュメントフォーマットからのテキスト抽出のサポートも提供します。
 
 **5. エージェント機能**:
-  LLM Function CallingやReActに基づくエージェントの定義が可能で、AIエージェント用のプリビルトまたはカスタムツールを追加できます。Difyには、Google検索、DALL·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提供します。
+LLM Function CallingやReActに基づくエージェントの定義が可能で、AIエージェント用のプリビルトまたはカスタムツールを追加できます。Difyには、Google検索、DALL·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提供します。
 
 **6. LLMOps**:
-  アプリケーションのログやパフォーマンスを監視と分析し、生産のデータと注釈に基づいて、プロンプト、データセット、モデルを継続的に改善できます。
+アプリケーションのログやパフォーマンスを監視と分析し、生産のデータと注釈に基づいて、プロンプト、データセット、モデルを継続的に改善できます。
 
 **7. Backend-as-a-Service**:
-  すべての機能はAPIを提供されており、Difyを自分のビジネスロジックに簡単に統合できます。
-
-
-## 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">バラエティ豊か</td>
-    <td align="center">バラエティ豊か</td>
-    <td align="center">バラエティ豊か</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>
+すべての機能はAPIを提供されており、Difyを自分のビジネスロジックに簡単に統合できます。
 
 ## 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GPT-4呼び出しが無料で含まれています。
+  [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GPT-4呼び出しが無料で含まれています。
 
 - **Dify Community Editionのセルフホスティング</br>**
-この[スタートガイド](#クイックスタート)を使用して、ローカル環境でDifyを簡単に実行できます。
-詳しくは[ドキュメント](https://docs.dify.ai)をご覧ください。
+  この[スタートガイド](#%E3%82%AF%E3%82%A4%E3%83%83%E3%82%AF%E3%82%B9%E3%82%BF%E3%83%BC%E3%83%88)を使用して、ローカル環境でDifyを簡単に実行できます。
+  詳しくは[ドキュメント](https://docs.dify.ai)をご覧ください。
 
 - **企業/組織向けのDify</br>**
-企業中心の機能を提供しています。[メールを送信](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)して企業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企業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、ワンクリックで自分のAWS VPCにデプロイできます。さらに、手頃な価格のAMIオファリングとして、ロゴやブランディングをカスタマイズしてアプリケーションを作成するオプションがあります。
+  企業中心の機能を提供しています。[メールを送信](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry)して企業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企業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、ワンクリックで自分のAWS VPCにデプロイできます。さらに、手頃な価格のAMIオファリングとして、ロゴやブランディングをカスタマイズしてアプリケーションを作成するオプションがあります。
 
 ## 最新の情報を入手
 
@@ -169,13 +100,12 @@ GitHub上でDifyにスターを付けることで、Difyに関する新しいニ
 
 ![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
+> - CPU >= 2コア
+> - RAM >= 4GB
 
 </br>
 
@@ -209,9 +139,11 @@ docker compose up -d
 [terraform](https://www.terraform.io/) を使用して、ワンクリックでDifyをクラウドプラットフォームにデプロイします
 
 ##### Azure Global
+
 - [@nikawangによるAzure Terraform](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [@sotazumによるGoogle Cloud Terraform](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### AWS CDK を使用したデプロイ
@@ -219,25 +151,27 @@ docker compose up -d
 [CDK](https://aws.amazon.com/cdk/) を使用して、DifyをAWSにデプロイします
 
 ##### AWS
-- [@KevinZhaoによるAWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+- [@KevinZhaoによるAWS CDK (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [@tmokmssによるAWS CDK (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Alibaba Cloud
+
 [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
 
 #### Alibaba Cloud Data Management
+
 [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) を利用して、DifyをAlibaba Cloudへワンクリックでデプロイできます
 
 #### AKSへのデプロイにAzure Devops Pipelineを使用
 
 [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)を使用してDifyをAKSにワンクリックでデプロイ
 
-
 ## 貢献
 
-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。
+コードに貢献したい方は、[Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_JA.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。
 
-
 > 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-config/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。
 
 **貢献者**
@@ -248,12 +182,10 @@ docker compose up -d
 
 ## 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を使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください
-* [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。
-* [X(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。
-
-
+- [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を使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください
+- [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。
+- [X(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。
 
 ## ライセンス
 

README_KL.md

@@ -48,7 +48,7 @@
   <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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>
@@ -56,111 +56,42 @@
 Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
 </br> </br>
 
-**1. Workflow**: 
-  Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
+**1. Workflow**:
+Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
 
-**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).
+**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.
 
-**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.
 
-**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, DALL·E, Stable Diffusion and WolframAlpha.
 
-**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, DALL·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.
 
-**6. LLMOps**: 
-  Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
-
-**7. Backend-as-a-Service**: 
-  All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
-
-
-## Feature Comparison
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Feature</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">Programming Approach</td>
-    <td align="center">API + App-oriented</td>
-    <td align="center">Python Code</td>
-    <td align="center">App-oriented</td>
-    <td align="center">API-oriented</td>
-  </tr>
-  <tr>
-    <td align="center">Supported LLMs</td>
-    <td align="center">Rich Variety</td>
-    <td align="center">Rich Variety</td>
-    <td align="center">Rich Variety</td>
-    <td align="center">OpenAI-only</td>
-  </tr>
-  <tr>
-    <td align="center">RAG Engine</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Agent</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Workflow</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Observability</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Enterprise Feature (SSO/Access control)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Local Deployment</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
+**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.
 
 ## 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.
+  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.
+  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. [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.
+  We provide additional enterprise-centric features. [Send us an email](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%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
 
@@ -168,13 +99,12 @@ 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
+>
+> - CPU >= 2 Core
+> - RAM >= 4GB
 
 </br>
 
@@ -208,17 +138,21 @@ If you'd like to configure a highly-available setup, there are community-contrib
 wa'logh nIqHom neH ghun deployment toy'wI' [terraform](https://www.terraform.io/) lo'laH.
 
 ##### Azure Global
+
 - [Azure Terraform mung @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [Google Cloud Terraform qachlot @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### AWS CDK atorlugh pilersitsineq
 
 wa'logh nIqHom neH ghun deployment toy'wI' [CDK](https://aws.amazon.com/cdk/) lo'laH.
 
-##### AWS 
-- [AWS CDK qachlot @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+##### AWS
+
+- [AWS CDK qachlot @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK qachlot @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Alibaba Cloud
 
@@ -232,13 +166,11 @@ wa'logh nIqHom neH ghun deployment toy'wI' [CDK](https://aws.amazon.com/cdk/) lo
 
 [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) lo'laH Dify AKS 'e' wa'DIch click 'e' Deploy
 
-
 ## Contributing
 
-For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+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-config/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**
@@ -249,18 +181,18 @@ At the same time, please consider supporting Dify by sharing it on social media
 
 ## Community & Contact
 
-* [GitHub Discussion](https://github.com/langgenius/dify/discussions
+- \[GitHub Discussion\](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).
-* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
-* [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
+
+- [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).
+- [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
+- [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
 
 ## 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.

README_KR.md

@@ -48,99 +48,30 @@
     <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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>
+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.
+다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요.
 
-**2. 포괄적인 모델 지원:**: 
+**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.
+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.
+**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, DALL·E, Stable Diffusion, WolframAlpha 등 AI 에이전트를 위한 50개 이상의 내장 도구를 제공합니다.
+LLM 함수 호출 또는 ReAct를 기반으로 에이전트를 정의하고 에이전트에 대해 사전 구축된 도구나 사용자 정의 도구를 추가할 수 있습니다. Dify는 Google Search, DALL·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.
+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>
+Dify의 모든 제품에는 해당 API가 함께 제공되므로 Dify를 자신의 비즈니스 로직에 쉽게 통합할 수 있습니다.
 
 ## Dify 사용하기
 
@@ -148,27 +79,26 @@
   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.
+  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. 잡거나  [이메일 보내기](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)를 통해 기업 요구 사항을 논의하십시오. </br>
+  우리는 추가적인 기업 중심 기능을 제공합니다. 잡거나 [이메일 보내기](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%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
+
+> Dify를 설치하기 전에 컴퓨터가 다음과 같은 최소 시스템 요구 사항을 충족하는지 확인하세요 :
+>
+> - CPU >= 2 Core
+> - RAM >= 4GB
 
 </br>
 
@@ -202,17 +132,21 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
 [terraform](https://www.terraform.io/)을 사용하여 단 한 번의 클릭으로 Dify를 클라우드 플랫폼에 배포하십시오
 
 ##### Azure Global
+
 - [nikawang의 Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [sotazum의 Google Cloud Terraform](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### AWS CDK를 사용한 배포
 
 [CDK](https://aws.amazon.com/cdk/)를 사용하여 AWS에 Dify 배포
 
-##### AWS 
-- [KevinZhao의 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+##### AWS
+
+- [KevinZhao의 AWS CDK (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [tmokmss의 AWS CDK (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Alibaba Cloud
 
@@ -226,14 +160,12 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
 
 [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)을 사용하여 Dify를 AKS에 원클릭으로 배포
 
-
 ## 기여
 
-코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
+코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_KR.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-config/README.md)에서 더 많은 정보를 확인하시고 [Discord 커뮤니티 서버](https://discord.gg/8Tpq4AcN9c)의 `global-users` 채널에 댓글을 남겨주세요. 
+> 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-config/README.md)에서 더 많은 정보를 확인하시고 [Discord 커뮤니티 서버](https://discord.gg/8Tpq4AcN9c)의 `global-users` 채널에 댓글을 남겨주세요.
 
 **기여자**
 
@@ -243,17 +175,15 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
 
 ## 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. 
-* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
-* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
-
+- [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.
+- [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
+- [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
 
 ## 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.

README_PT.md

@@ -1,4 +1,5 @@
 ![cover-v5-optimized](./images/GitHub_README_if.png)
+
 <p align="center">
   📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introduzindo o Dify Workflow com Upload de Arquivo: Recrie o Podcast Google NotebookLM</a>
 </p>
@@ -55,111 +56,42 @@
 Dify é uma plataforma de desenvolvimento de aplicativos LLM de código aberto. Sua interface intuitiva combina workflow de IA, pipeline RAG, capacidades de agente, gerenciamento de modelos, recursos de observabilidade e muito mais, permitindo que você vá rapidamente do protótipo à produção. Aqui está uma lista das principais funcionalidades:
 </br> </br>
 
-**1. Workflow**: 
-  Construa e teste workflows poderosos de IA em uma interface visual, aproveitando todos os recursos a seguir e muito mais.
+**1. Workflow**:
+Construa e teste workflows poderosos de IA em uma interface visual, aproveitando todos os recursos a seguir e muito mais.
 
-**2. Suporte abrangente a modelos**: 
-  Integração perfeita com centenas de LLMs proprietários e de código aberto de diversas provedoras e soluções auto-hospedadas, abrangendo GPT, Mistral, Llama3 e qualquer modelo compatível com a API da OpenAI. A lista completa de provedores suportados pode ser encontrada [aqui](https://docs.dify.ai/getting-started/readme/model-providers).
+**2. Suporte abrangente a modelos**:
+Integração perfeita com centenas de LLMs proprietários e de código aberto de diversas provedoras e soluções auto-hospedadas, abrangendo GPT, Mistral, Llama3 e qualquer modelo compatível com a API da OpenAI. A lista completa de provedores suportados pode ser encontrada [aqui](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 intuitiva para criação de prompts, comparação de desempenho de modelos e adição de recursos como conversão de texto para fala em um aplicativo baseado em chat.
 
-**3. IDE de Prompt**: 
-  Interface intuitiva para criação de prompts, comparação de desempenho de modelos e adição de recursos como conversão de texto para fala em um aplicativo baseado em chat. 
+**4. Pipeline RAG**:
+Extensas capacidades de RAG que cobrem desde a ingestão de documentos até a recuperação, com suporte nativo para extração de texto de PDFs, PPTs e outros formatos de documentos comuns.
 
-**4. Pipeline RAG**: 
-  Extensas capacidades de RAG que cobrem desde a ingestão de documentos até a recuperação, com suporte nativo para extração de texto de PDFs, PPTs e outros formatos de documentos comuns.
+**5. Capacidades de agente**:
+Você pode definir agentes com base em LLM Function Calling ou ReAct e adicionar ferramentas pré-construídas ou personalizadas para o agente. O Dify oferece mais de 50 ferramentas integradas para agentes de IA, como Google Search, DALL·E, Stable Diffusion e WolframAlpha.
 
-**5. Capacidades de agente**: 
-  Você pode definir agentes com base em LLM Function Calling ou ReAct e adicionar ferramentas pré-construídas ou personalizadas para o agente. O Dify oferece mais de 50 ferramentas integradas para agentes de IA, como Google Search, DALL·E, Stable Diffusion e WolframAlpha.
+**6. LLMOps**:
+Monitore e analise os registros e o desempenho do aplicativo ao longo do tempo. É possível melhorar continuamente prompts, conjuntos de dados e modelos com base nos dados de produção e anotações.
 
-**6. LLMOps**: 
-  Monitore e analise os registros e o desempenho do aplicativo ao longo do tempo. É possível melhorar continuamente prompts, conjuntos de dados e modelos com base nos dados de produção e anotações.
-
-**7. Backend como Serviço**: 
-  Todas os recursos do Dify vêm com APIs correspondentes, permitindo que você integre o Dify sem esforço na lógica de negócios da sua empresa.
-
-
-## Comparação de recursos
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Recurso</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">Abordagem de Programação</td>
-    <td align="center">Orientada a API + Aplicativo</td>
-    <td align="center">Código Python</td>
-    <td align="center">Orientada a Aplicativo</td>
-    <td align="center">Orientada a API</td>
-  </tr>
-  <tr>
-    <td align="center">LLMs Suportados</td>
-    <td align="center">Variedade Rica</td>
-    <td align="center">Variedade Rica</td>
-    <td align="center">Variedade Rica</td>
-    <td align="center">Apenas OpenAI</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">Agente</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">Observabilidade</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Recursos Empresariais (SSO/Controle de Acesso)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Implantação Local</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
+**7. Backend como Serviço**:
+Todas os recursos do Dify vêm com APIs correspondentes, permitindo que você integre o Dify sem esforço na lógica de negócios da sua empresa.
 
 ## Usando o Dify
 
 - **Nuvem </br>**
-Oferecemos o serviço [Dify Cloud](https://dify.ai) para qualquer pessoa experimentar sem nenhuma configuração. Ele fornece todas as funcionalidades da versão auto-hospedada, incluindo 200 chamadas GPT-4 gratuitas no plano sandbox.
+  Oferecemos o serviço [Dify Cloud](https://dify.ai) para qualquer pessoa experimentar sem nenhuma configuração. Ele fornece todas as funcionalidades da versão auto-hospedada, incluindo 200 chamadas GPT-4 gratuitas no plano sandbox.
 
 - **Auto-hospedagem do Dify Community Edition</br>**
-Configure rapidamente o Dify no seu ambiente com este [guia inicial](#quick-start).
-Use nossa [documentação](https://docs.dify.ai) para referências adicionais e instruções mais detalhadas.
+  Configure rapidamente o Dify no seu ambiente com este [guia inicial](#quick-start).
+  Use nossa [documentação](https://docs.dify.ai) para referências adicionais e instruções mais detalhadas.
 
 - **Dify para empresas/organizações</br>**
-Oferecemos recursos adicionais voltados para empresas. [Envie suas perguntas através deste chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) ou [envie-nos um e-mail](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) para discutir necessidades empresariais. </br>
-  > Para startups e pequenas empresas que utilizam AWS, confira o [Dify Premium no AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) e implemente no seu próprio AWS VPC com um clique. É uma oferta AMI acessível com a opção de criar aplicativos com logotipo e marca personalizados.
+  Oferecemos recursos adicionais voltados para empresas. [Envie suas perguntas através deste chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) ou [envie-nos um e-mail](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) para discutir necessidades empresariais. </br>
 
+  > Para startups e pequenas empresas que utilizam AWS, confira o [Dify Premium no AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) e implemente no seu próprio AWS VPC com um clique. É uma oferta AMI acessível com a opção de criar aplicativos com logotipo e marca personalizados.
 
 ## Mantendo-se atualizado
 
@@ -167,13 +99,12 @@ Dê uma estrela no Dify no GitHub e seja notificado imediatamente sobre novos la
 
 ![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
 
-
-
 ## Início rápido
+
 > Antes de instalar o Dify, certifique-se de que sua máquina atenda aos seguintes requisitos mínimos de sistema:
-> 
->- CPU >= 2 Núcleos
->- RAM >= 4 GiB
+>
+> - CPU >= 2 Núcleos
+> - RAM >= 4 GiB
 
 </br>
 
@@ -207,17 +138,21 @@ Se deseja configurar uma instalação de alta disponibilidade, há [Helm Charts]
 Implante o Dify na Plataforma Cloud com um único clique usando [terraform](https://www.terraform.io/)
 
 ##### Azure Global
+
 - [Azure Terraform por @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [Google Cloud Terraform por @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### Usando AWS CDK para Implantação
 
 Implante o Dify na AWS usando [CDK](https://aws.amazon.com/cdk/)
 
-##### AWS 
-- [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+##### AWS
+
+- [AWS CDK por @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK por @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Alibaba Cloud
 
@@ -231,10 +166,9 @@ Implante o Dify na Alibaba Cloud com um clique usando o [Alibaba Cloud Data Mana
 
 Implante o Dify no AKS com um clique usando [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
 
-
 ## Contribuindo
 
-Para aqueles que desejam contribuir com código, veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+Para aqueles que desejam contribuir com código, veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_PT.md).
 Ao mesmo tempo, considere apoiar o Dify compartilhando-o nas redes sociais e em eventos e conferências.
 
 > Estamos buscando contribuidores para ajudar na tradução do Dify para idiomas além de Mandarim e Inglês. Se você tiver interesse em ajudar, consulte o [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) para mais informações e deixe-nos um comentário no canal `global-users` em nosso [Servidor da Comunidade no Discord](https://discord.gg/8Tpq4AcN9c).
@@ -247,10 +181,10 @@ Ao mesmo tempo, considere apoiar o Dify compartilhando-o nas redes sociais e em
 
 ## Comunidade e contato
 
-* [Discussões no GitHub](https://github.com/langgenius/dify/discussions). Melhor para: compartilhar feedback e fazer perguntas.
-* [Problemas no GitHub](https://github.com/langgenius/dify/issues). Melhor para: relatar bugs encontrados no Dify.AI e propor novos recursos. Veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
-* [Discord](https://discord.gg/FngNHpbcY7). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
-* [X(Twitter)](https://twitter.com/dify_ai). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
+- [Discussões no GitHub](https://github.com/langgenius/dify/discussions). Melhor para: compartilhar feedback e fazer perguntas.
+- [Problemas no GitHub](https://github.com/langgenius/dify/issues). Melhor para: relatar bugs encontrados no Dify.AI e propor novos recursos. Veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+- [Discord](https://discord.gg/FngNHpbcY7). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
+- [X(Twitter)](https://twitter.com/dify_ai). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
 
 ## Histórico de estrelas
 

README_SI.md

@@ -50,14 +50,14 @@
   <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
-
-Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje. 
+Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje.
 
 ## Hitri začetek
+
 > Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
-> 
->- CPU >= 2 Core
->- RAM >= 4 GiB
+>
+> - CPU >= 2 Core
+> - RAM >= 4 GiB
 
 </br>
 
@@ -73,116 +73,48 @@ docker compose up -d
 Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije.
 
 #### Iskanje pomoči
+
 Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact).
 
 > Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
 
 ## Ključne značilnosti
-**1. Potek dela**: 
-  Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
 
-**2. Celovita podpora za modele**: 
-  Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers).
+**1. Potek dela**:
+Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
+
+**2. Celovita podpora za modele**:
+Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](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**:
+intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu.
 
-**3. Prompt IDE**: 
-  intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu. 
+**4. RAG Pipeline**:
+E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov.
 
-**4. RAG Pipeline**: 
-  E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov.
+**5. Agent capabilities**:
+definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha.
 
-**5. Agent capabilities**: 
-  definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha.
+**6. LLMOps**:
+Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb.
 
-**6. LLMOps**: 
-  Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb.
-
-**7. Backend-as-a-Service**: 
-  AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
-
-## Primerjava Funkcij
-
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Funkcija</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">Programski pristop</td>
-    <td align="center">API + usmerjeno v aplikacije</td>
-    <td align="center">Python koda</td>
-    <td align="center">Usmerjeno v aplikacije</td>
-    <td align="center">Usmerjeno v API</td>
-  </tr>
-  <tr>
-    <td align="center">Podprti LLM-ji</td>
-    <td align="center">Bogata izbira</td>
-    <td align="center">Bogata izbira</td>
-    <td align="center">Bogata izbira</td>
-    <td align="center">Samo OpenAI</td>
-  </tr>
-  <tr>
-    <td align="center">RAG pogon</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">Potek dela</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Spremljanje</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Funkcija za podjetja (SSO/nadzor dostopa)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Lokalna namestitev</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
+**7. Backend-as-a-Service**:
+AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
 
 ## Uporaba Dify
 
 - **Cloud </br>**
-Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika.
+  Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika.
 
 - **Self-hosting Dify Community Edition</br>**
-Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) .
-
+  Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) .
 
 - **Dify za podjetja/organizacije</br>**
-Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja. </br>
-  > Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri.
+  Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja. </br>
 
+  > Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri.
 
 ## Staying ahead
 
@@ -190,7 +122,6 @@ 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)
 
-
 ## Napredne nastavitve
 
 Če morate prilagoditi konfiguracijo, si oglejte komentarje v naši datoteki .env.example in posodobite ustrezne vrednosti v svoji .env datoteki. Poleg tega boste morda morali prilagoditi docker-compose.yamlsamo datoteko, na primer spremeniti različice slike, preslikave vrat ali namestitve nosilca, glede na vaše specifično okolje in zahteve za uvajanje. Po kakršnih koli spremembah ponovno zaženite docker-compose up -d. Celoten seznam razpoložljivih spremenljivk okolja najdete tukaj .
@@ -208,17 +139,21 @@ Star Dify on GitHub and be instantly notified of new releases.
 namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/)
 
 ##### Azure Global
+
 - [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### Uporaba AWS CDK za uvajanje
 
 Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/)
 
-##### AWS 
-- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+##### AWS
+
+- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Alibaba Cloud
 
@@ -232,21 +167,18 @@ Z enim klikom namestite Dify na Alibaba Cloud z [Alibaba Cloud Data Management](
 
 Z enim klikom namestite Dify v AKS z uporabo [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
 
-
 ## Prispevam
 
-Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah. 
-
-
+Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah.
 
 > Iščemo sodelavce za pomoč pri prevajanju Difyja v jezike, ki niso mandarinščina ali angleščina. Če želite pomagati, si oglejte i18n README za več informacij in nam pustite komentar v global-userskanalu našega strežnika skupnosti Discord .
 
 ## Skupnost in stik
 
-* [GitHub Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
-* [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
-* [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
-* [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
+- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
+- [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+- [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
+- [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
 
 **Contributors**
 
@@ -258,7 +190,6 @@ Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkra
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-
 ## Varnostno razkritje
 
 Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj na GitHub. Namesto tega pošljite vprašanja na security@dify.ai in zagotovili vam bomo podrobnejši odgovor.

README_TR.md

@@ -48,11 +48,10 @@
   <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
-
 Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel arayüzü, AI iş akışı, RAG pipeline'ı, ajan yetenekleri, model yönetimi, gözlemlenebilirlik özellikleri ve daha fazlasını birleştirerek, prototipten üretime hızlıca geçmenizi sağlar. İşte temel özelliklerin bir listesi:
 </br> </br>
 
-**1. Workflow**: 
+**1. Workflow**:
 Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edin, aşağıdaki tüm özellikleri ve daha fazlasını kullanarak.
 
 **2. Kapsamlı model desteği**:
@@ -60,101 +59,33 @@ Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edi
 
 ![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
+**3. Prompt IDE**:
+Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.
 
-**3. Prompt IDE**: 
-  Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.
+**4. RAG Pipeline**:
+Belge alımından bilgi çekmeye kadar geniş kapsamlı RAG yetenekleri. PDF'ler, PPT'ler ve diğer yaygın belge formatlarından metin çıkarma için hazır destek sunar.
 
-**4. RAG Pipeline**: 
-  Belge alımından bilgi çekmeye kadar geniş kapsamlı RAG yetenekleri. PDF'ler, PPT'ler ve diğer yaygın belge formatlarından metin çıkarma için hazır destek sunar.
+**5. Ajan yetenekleri**:
+LLM Fonksiyon Çağırma veya ReAct'a dayalı ajanlar tanımlayabilir ve bu ajanlara önceden hazırlanmış veya özel araçlar ekleyebilirsiniz. Dify, AI ajanları için Google Arama, DALL·E, Stable Diffusion ve WolframAlpha gibi 50'den fazla yerleşik araç sağlar.
 
-**5. Ajan yetenekleri**: 
-  LLM Fonksiyon Çağırma veya ReAct'a dayalı ajanlar tanımlayabilir ve bu ajanlara önceden hazırlanmış veya özel araçlar ekleyebilirsiniz. Dify, AI ajanları için Google Arama, DALL·E, Stable Diffusion ve WolframAlpha gibi 50'den fazla yerleşik araç sağlar.
+**6. LLMOps**:
+Uygulama loglarını ve performans metriklerini zaman içinde izleme ve analiz etme imkanı. Üretim ortamından elde edilen verilere ve kullanıcı geri bildirimlerine dayanarak, prompt'ları, veri setlerini ve modelleri sürekli olarak optimize edebilirsiniz. Bu sayede, AI uygulamanızın performansını ve doğruluğunu sürekli olarak artırabilirsiniz.
 
-**6. LLMOps**: 
-  Uygulama loglarını ve performans metriklerini zaman içinde izleme ve analiz etme imkanı. Üretim ortamından elde edilen verilere ve kullanıcı geri bildirimlerine dayanarak, prompt'ları, veri setlerini ve modelleri sürekli olarak optimize edebilirsiniz. Bu sayede, AI uygulamanızın performansını ve doğruluğunu sürekli olarak artırabilirsiniz.
-
-**7. Hizmet Olarak Backend**: 
-  Dify'ın tüm özellikleri ilgili API'lerle birlikte gelir, böylece Dify'ı kendi iş mantığınıza kolayca entegre edebilirsiniz.
-
-
-## Özellik karşılaştırması
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Özellik</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">Programlama Yaklaşımı</td>
-    <td align="center">API + Uygulama odaklı</td>
-    <td align="center">Python Kodu</td>
-    <td align="center">Uygulama odaklı</td>
-    <td align="center">API odaklı</td>
-  </tr>
-  <tr>
-    <td align="center">Desteklenen LLM'ler</td>
-    <td align="center">Zengin Çeşitlilik</td>
-    <td align="center">Zengin Çeşitlilik</td>
-    <td align="center">Zengin Çeşitlilik</td>
-    <td align="center">Yalnızca OpenAI</td>
-  </tr>
-  <tr>
-    <td align="center">RAG Motoru</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Ajan</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">İş Akışı</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Gözlemlenebilirlik</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Kurumsal Özellikler (SSO/Erişim kontrolü)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Yerel Dağıtım</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
+**7. Hizmet Olarak Backend**:
+Dify'ın tüm özellikleri ilgili API'lerle birlikte gelir, böylece Dify'ı kendi iş mantığınıza kolayca entegre edebilirsiniz.
 
 ## Dify'ı Kullanma
 
 - **Cloud </br>**
-Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.
+  Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.
 
 - **Dify Topluluk Sürümünü Kendi Sunucunuzda Barındırma</br>**
-Bu [başlangıç kılavuzu](#quick-start) ile Dify'ı kendi ortamınızda hızlıca çalıştırın.
-Daha fazla referans ve detaylı talimatlar için [dokümantasyonumuzu](https://docs.dify.ai) kullanın.
+  Bu [başlangıç kılavuzu](#quick-start) ile Dify'ı kendi ortamınızda hızlıca çalıştırın.
+  Daha fazla referans ve detaylı talimatlar için [dokümantasyonumuzu](https://docs.dify.ai) kullanın.
 
 - **Kurumlar / organizasyonlar için Dify</br>**
-Ek kurumsal odaklı özellikler sunuyoruz. Kurumsal ihtiyaçları görüşmek için [bize bir e-posta gönderin](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). </br>
+  Ek kurumsal odaklı özellikler sunuyoruz. Kurumsal ihtiyaçları görüşmek için [bize bir e-posta gönderin](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry). </br>
+
   > AWS kullanan startuplar ve küçük işletmeler için, [AWS Marketplace'deki Dify Premium'a](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) göz atın ve tek tıklamayla kendi AWS VPC'nize dağıtın. Bu, özel logo ve marka ile uygulamalar oluşturma seçeneğine sahip uygun fiyatlı bir AMI teklifdir.
 
 ## Güncel Kalma
@@ -163,13 +94,12 @@ GitHub'da Dify'a yıldız verin ve yeni sürümlerden anında haberdar olun.
 
 ![bizi-yıldızlayın](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
 
-
-
 ## Hızlı başlangıç
+
 > Dify'ı kurmadan önce, makinenizin aşağıdaki minimum sistem gereksinimlerini karşıladığından emin olun:
-> 
->- CPU >= 2 Çekirdek
->- RAM >= 4GB
+>
+> - CPU >= 2 Çekirdek
+> - RAM >= 4GB
 
 </br>
 Dify sunucusunu başlatmanın en kolay yolu, [docker-compose.yml](docker/docker-compose.yaml) dosyamızı çalıştırmaktır. Kurulum komutunu çalıştırmadan önce, makinenizde [Docker](https://docs.docker.com/get-docker/) ve [Docker Compose](https://docs.docker.com/compose/install/)'un kurulu olduğundan emin olun:
@@ -201,17 +131,21 @@ Yüksek kullanılabilirliğe sahip bir kurulum yapılandırmak isterseniz, Dify'
 Dify'ı bulut platformuna tek tıklamayla dağıtın [terraform](https://www.terraform.io/) kullanarak
 
 ##### Azure Global
+
 - [Azure Terraform tarafından @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [Google Cloud Terraform tarafından @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### AWS CDK ile Dağıtım
 
 [CDK](https://aws.amazon.com/cdk/) kullanarak Dify'ı AWS'ye dağıtın
 
-##### AWS 
-- [AWS CDK tarafından @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+##### AWS
+
+- [AWS CDK tarafından @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK tarafından @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Alibaba Cloud
 
@@ -225,10 +159,9 @@ Dify'ı bulut platformuna tek tıklamayla dağıtın [terraform](https://www.ter
 
 [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) kullanarak Dify'ı tek tıkla AKS'ye dağıtın
 
-
 ## Katkıda Bulunma
 
-Kod katkısında bulunmak isteyenler için [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakabilirsiniz.
+Kod katkısında bulunmak isteyenler için [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_TR.md) bakabilirsiniz.
 Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda paylaşarak desteklemeyi düşünün.
 
 > Dify'ı Mandarin veya İngilizce dışındaki dillere çevirmemize yardımcı olacak katkıda bulunanlara ihtiyacımız var. Yardımcı olmakla ilgileniyorsanız, lütfen daha fazla bilgi için [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) dosyasına bakın ve [Discord Topluluk Sunucumuzdaki](https://discord.gg/8Tpq4AcN9c) `global-users` kanalında bize bir yorum bırakın.
@@ -241,10 +174,10 @@ Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda p
 
 ## Topluluk & iletişim
 
-* [GitHub Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
-* [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın.
-* [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
-* [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
+- [GitHub Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
+- [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın.
+- [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
+- [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
 
 ## Star history
 

README_TW.md

@@ -106,85 +106,18 @@ docker compose up -d
 **7. 後端即服務**：
 Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify 整合到您自己的業務邏輯中。
 
-## 功能比較
-
-<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 Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">程式設計方法</td>
-    <td align="center">API + 應用導向</td>
-    <td align="center">Python 代碼</td>
-    <td align="center">應用導向</td>
-    <td align="center">API 導向</td>
-  </tr>
-  <tr>
-    <td align="center">支援的 LLM 模型</td>
-    <td align="center">豐富多樣</td>
-    <td align="center">豐富多樣</td>
-    <td align="center">豐富多樣</td>
-    <td align="center">僅限 OpenAI</td>
-  </tr>
-  <tr>
-    <td align="center">RAG 引擎</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">代理功能</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">工作流程</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">可觀察性</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">企業級功能 (SSO/存取控制)</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
 
 - **雲端服務 </br>**
   我們提供 [Dify Cloud](https://dify.ai) 服務，任何人都可以零配置嘗試。它提供與自部署版本相同的所有功能，並在沙盒計劃中包含 200 次免費 GPT-4 調用。
 
 - **自託管 Dify 社區版</br>**
-  使用這份[快速指南](#快速開始)在您的環境中快速運行 Dify。
+  使用這份[快速指南](#%E5%BF%AB%E9%80%9F%E9%96%8B%E5%A7%8B)在您的環境中快速運行 Dify。
   使用我們的[文檔](https://docs.dify.ai)獲取更多參考和深入指導。
 
 - **企業/組織版 Dify</br>**
-  我們提供額外的企業中心功能。[通過這個聊天機器人記錄您的問題](https://udify.app/chat/22L1zSxg6yW1cWQg)或[發送電子郵件給我們](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)討論企業需求。</br>
+  我們提供額外的企業中心功能。[通過這個聊天機器人記錄您的問題](https://udify.app/chat/22L1zSxg6yW1cWQg)或[發送電子郵件給我們](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry)討論企業需求。</br>
+
   > 對於使用 AWS 的初創企業和小型企業，請查看 [AWS Marketplace 上的 Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)，並一鍵部署到您自己的 AWS VPC。這是一個經濟實惠的 AMI 產品，可選擇使用自定義徽標和品牌創建應用。
 
 ## 保持領先
@@ -223,7 +156,8 @@ Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify
 
 ### AWS
 
-- [由 @KevinZhao 提供的 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [由 @KevinZhao 提供的 AWS CDK (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [由 @tmokmss 提供的 AWS CDK (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### 使用 阿里云计算巢進行部署
 
@@ -237,10 +171,9 @@ Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify
 
 使用[Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) 將 Dify 一鍵部署到 AKS
 
-
 ## 貢獻
 
-對於想要貢獻程式碼的開發者，請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
+對於想要貢獻程式碼的開發者，請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_TW.md)。
 同時，也請考慮透過在社群媒體和各種活動與會議上分享 Dify 來支持我們。
 
 > 我們正在尋找貢獻者協助將 Dify 翻譯成中文和英文以外的語言。如果您有興趣幫忙，請查看 [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) 獲取更多資訊，並在我們的 [Discord 社群伺服器](https://discord.gg/8Tpq4AcN9c) 的 `global-users` 頻道留言給我們。

README_VI.md

@@ -48,115 +48,45 @@
   <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
-
 Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Giao diện trực quan kết hợp quy trình làm việc AI, mô hình RAG, khả năng tác nhân, quản lý mô hình, tính năng quan sát và hơn thế nữa, cho phép bạn nhanh chóng chuyển từ nguyên mẫu sang sản phẩm. Đây là danh sách các tính năng cốt lõi:
 </br> </br>
 
-**1. Quy trình làm việc**: 
-  Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.
+**1. Quy trình làm việc**:
+Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.
 
-**2. Hỗ trợ mô hình toàn diện**: 
-  Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/readme/model-providers).
+**2. Hỗ trợ mô hình toàn diện**:
+Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](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 Prompt**:
+Giao diện trực quan để tạo prompt, so sánh hiệu suất mô hình và thêm các tính năng bổ sung như chuyển văn bản thành giọng nói cho một ứng dụng dựa trên trò chuyện.
 
-**3. IDE Prompt**: 
-  Giao diện trực quan để tạo prompt, so sánh hiệu suất mô hình và thêm các tính năng bổ sung như chuyển văn bản thành giọng nói cho một ứng dụng dựa trên trò chuyện. 
+**4. Mô hình RAG**:
+Khả năng RAG mở rộng bao gồm mọi thứ từ nhập tài liệu đến truy xuất, với hỗ trợ sẵn có cho việc trích xuất văn bản từ PDF, PPT và các định dạng tài liệu phổ biến khác.
 
-**4. Mô hình RAG**: 
-  Khả năng RAG mở rộng bao gồm mọi thứ từ nhập tài liệu đến truy xuất, với hỗ trợ sẵn có cho việc trích xuất văn bản từ PDF, PPT và các định dạng tài liệu phổ biến khác.
+**5. Khả năng tác nhân**:
+Bạn có thể định nghĩa các tác nhân dựa trên LLM Function Calling hoặc ReAct, và thêm các công cụ được xây dựng sẵn hoặc tùy chỉnh cho tác nhân. Dify cung cấp hơn 50 công cụ tích hợp sẵn cho các tác nhân AI, như Google Search, DALL·E, Stable Diffusion và WolframAlpha.
 
-**5. Khả năng tác nhân**: 
-  Bạn có thể định nghĩa các tác nhân dựa trên LLM Function Calling hoặc ReAct, và thêm các công cụ được xây dựng sẵn hoặc tùy chỉnh cho tác nhân. Dify cung cấp hơn 50 công cụ tích hợp sẵn cho các tác nhân AI, như Google Search, DALL·E, Stable Diffusion và WolframAlpha.
+**6. LLMOps**:
+Giám sát và phân tích nhật ký và hiệu suất ứng dụng theo thời gian. Bạn có thể liên tục cải thiện prompt, bộ dữ liệu và mô hình dựa trên dữ liệu sản xuất và chú thích.
 
-**6. LLMOps**: 
-  Giám sát và phân tích nhật ký và hiệu suất ứng dụng theo thời gian. Bạn có thể liên tục cải thiện prompt, bộ dữ liệu và mô hình dựa trên dữ liệu sản xuất và chú thích.
-
-**7. Backend-as-a-Service**: 
-  Tất cả các dịch vụ của Dify đều đi kèm với các API tương ứng, vì vậy bạn có thể dễ dàng tích hợp Dify vào logic kinh doanh của riêng mình.
-
-
-## So sánh tính năng
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Tính năng</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">Phương pháp lập trình</td>
-    <td align="center">Hướng API + Ứng dụng</td>
-    <td align="center">Mã Python</td>
-    <td align="center">Hướng ứng dụng</td>
-    <td align="center">Hướng API</td>
-  </tr>
-  <tr>
-    <td align="center">LLMs được hỗ trợ</td>
-    <td align="center">Đa dạng phong phú</td>
-    <td align="center">Đa dạng phong phú</td>
-    <td align="center">Đa dạng phong phú</td>
-    <td align="center">Chỉ OpenAI</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">Quy trình làm việc</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Khả năng quan sát</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Tính năng doanh nghiệp (SSO/Kiểm soát truy cập)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Triển khai cục bộ</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
+**7. Backend-as-a-Service**:
+Tất cả các dịch vụ của Dify đều đi kèm với các API tương ứng, vì vậy bạn có thể dễ dàng tích hợp Dify vào logic kinh doanh của riêng mình.
 
 ## Sử dụng Dify
 
 - **Cloud </br>**
-Chúng tôi lưu trữ dịch vụ [Dify Cloud](https://dify.ai) cho bất kỳ ai muốn thử mà không cần cài đặt. Nó cung cấp tất cả các khả năng của phiên bản tự triển khai và bao gồm 200 lượt gọi GPT-4 miễn phí trong gói sandbox.
+  Chúng tôi lưu trữ dịch vụ [Dify Cloud](https://dify.ai) cho bất kỳ ai muốn thử mà không cần cài đặt. Nó cung cấp tất cả các khả năng của phiên bản tự triển khai và bao gồm 200 lượt gọi GPT-4 miễn phí trong gói sandbox.
 
 - **Tự triển khai Dify Community Edition</br>**
-Nhanh chóng chạy Dify trong môi trường của bạn với [hướng dẫn bắt đầu](#quick-start) này.
-Sử dụng [tài liệu](https://docs.dify.ai) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn.
+  Nhanh chóng chạy Dify trong môi trường của bạn với [hướng dẫn bắt đầu](#quick-start) này.
+  Sử dụng [tài liệu](https://docs.dify.ai) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn.
 
 - **Dify cho doanh nghiệp / tổ chức</br>**
-Chúng tôi cung cấp các tính năng bổ sung tập trung vào doanh nghiệp. [Ghi lại câu hỏi của bạn cho chúng tôi thông qua chatbot này](https://udify.app/chat/22L1zSxg6yW1cWQg) hoặc [gửi email cho chúng tôi](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) để thảo luận về nhu cầu doanh nghiệp. </br>
-  > Đối với các công ty khởi nghiệp và doanh nghiệp nhỏ sử dụng AWS, hãy xem [Dify Premium trên AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) và triển khai nó vào AWS VPC của riêng bạn chỉ với một cú nhấp chuột. Đây là một AMI giá cả phải chăng với tùy chọn tạo ứng dụng với logo và thương hiệu tùy chỉnh.
+  Chúng tôi cung cấp các tính năng bổ sung tập trung vào doanh nghiệp. [Ghi lại câu hỏi của bạn cho chúng tôi thông qua chatbot này](https://udify.app/chat/22L1zSxg6yW1cWQg) hoặc [gửi email cho chúng tôi](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) để thảo luận về nhu cầu doanh nghiệp. </br>
 
+  > Đối với các công ty khởi nghiệp và doanh nghiệp nhỏ sử dụng AWS, hãy xem [Dify Premium trên AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) và triển khai nó vào AWS VPC của riêng bạn chỉ với một cú nhấp chuột. Đây là một AMI giá cả phải chăng với tùy chọn tạo ứng dụng với logo và thương hiệu tùy chỉnh.
 
 ## Luôn cập nhật
 
@@ -164,13 +94,12 @@ Yêu thích Dify trên GitHub và được thông báo ngay lập tức về cá
 
 ![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
 
-
-
 ## Bắt đầu nhanh
+
 > Trước khi cài đặt Dify, hãy đảm bảo máy của bạn đáp ứng các yêu cầu hệ thống tối thiểu sau:
-> 
->- CPU >= 2 Core
->- RAM >= 4GB
+>
+> - CPU >= 2 Core
+> - RAM >= 4GB
 
 </br>
 
@@ -203,18 +132,21 @@ Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có
 Triển khai Dify lên nền tảng đám mây với một cú nhấp chuột bằng cách sử dụng [terraform](https://www.terraform.io/)
 
 ##### Azure Global
+
 - [Azure Terraform bởi @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
 ##### Google Cloud
+
 - [Google Cloud Terraform bởi @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
 
 #### Sử dụng AWS CDK để Triển khai
 
 Triển khai Dify trên AWS bằng [CDK](https://aws.amazon.com/cdk/)
 
-##### AWS 
-- [AWS CDK bởi @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+##### AWS
 
+- [AWS CDK bởi @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+- [AWS CDK bởi @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
 
 #### Alibaba Cloud
 
@@ -228,13 +160,11 @@ Triển khai Dify lên Alibaba Cloud chỉ với một cú nhấp chuột bằng
 
 Triển khai Dify lên AKS chỉ với một cú nhấp chuột bằng [Azure Devops Pipeline Helm Chart bởi @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
 
-
 ## Đóng góp
 
-Đối với những người muốn đóng góp mã, xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi. 
+Đối với những người muốn đóng góp mã, xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_VI.md) của chúng tôi.
 Đồng thời, vui lòng xem xét hỗ trợ Dify bằng cách chia sẻ nó trên mạng xã hội và tại các sự kiện và hội nghị.
 
-
 > Chúng tôi đang tìm kiếm người đóng góp để giúp dịch Dify sang các ngôn ngữ khác ngoài tiếng Trung hoặc tiếng Anh. Nếu bạn quan tâm đến việc giúp đỡ, vui lòng xem [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) để biết thêm thông tin và để lại bình luận cho chúng tôi trong kênh `global-users` của [Máy chủ Cộng đồng Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi.
 
 **Người đóng góp**
@@ -245,10 +175,10 @@ Triển khai Dify lên AKS chỉ với một cú nhấp chuột bằng [Azure De
 
 ## Cộng đồng & liên hệ
 
-* [Thảo luận GitHub](https://github.com/langgenius/dify/discussions). Tốt nhất cho: chia sẻ phản hồi và đặt câu hỏi.
-* [Vấn đề GitHub](https://github.com/langgenius/dify/issues). Tốt nhất cho: lỗi bạn gặp phải khi sử dụng Dify.AI và đề xuất tính năng. Xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
-* [Discord](https://discord.gg/FngNHpbcY7). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
-* [X(Twitter)](https://twitter.com/dify_ai). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
+- [Thảo luận GitHub](https://github.com/langgenius/dify/discussions). Tốt nhất cho: chia sẻ phản hồi và đặt câu hỏi.
+- [Vấn đề GitHub](https://github.com/langgenius/dify/issues). Tốt nhất cho: lỗi bạn gặp phải khi sử dụng Dify.AI và đề xuất tính năng. Xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
+- [Discord](https://discord.gg/FngNHpbcY7). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
+- [X(Twitter)](https://twitter.com/dify_ai). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
 
 ## Lịch sử Yêu thích
 

api/.env.example

@@ -42,6 +42,15 @@ REDIS_PORT=6379
 REDIS_USERNAME=
 REDIS_PASSWORD=difyai123456
 REDIS_USE_SSL=false
+# SSL configuration for Redis (when REDIS_USE_SSL=true)
+REDIS_SSL_CERT_REQS=CERT_NONE
+# Options: CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED
+REDIS_SSL_CA_CERTS=
+# Path to CA certificate file for SSL verification
+REDIS_SSL_CERTFILE=
+# Path to client certificate file for SSL authentication
+REDIS_SSL_KEYFILE=
+# Path to client private key file for SSL authentication
 REDIS_DB=0
 
 # redis Sentinel configuration.
@@ -66,6 +75,8 @@ DB_PASSWORD=difyai123456
 DB_HOST=localhost
 DB_PORT=5432
 DB_DATABASE=dify
+SQLALCHEMY_POOL_PRE_PING=true
+SQLALCHEMY_POOL_TIMEOUT=30
 
 # Storage configuration
 # use for store upload files, private keys...
@@ -293,6 +304,8 @@ BAIDU_VECTOR_DB_API_KEY=dify
 BAIDU_VECTOR_DB_DATABASE=dify
 BAIDU_VECTOR_DB_SHARD=1
 BAIDU_VECTOR_DB_REPLICAS=3
+BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER=DEFAULT_ANALYZER
+BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE=COARSE_MODE
 
 # Upstash configuration
 UPSTASH_VECTOR_URL=your-server-url
@@ -318,7 +331,7 @@ MATRIXONE_DATABASE=dify
 LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:30070
 LINDORM_USERNAME=admin
 LINDORM_PASSWORD=admin
-USING_UGC_INDEX=False
+LINDORM_USING_UGC=True
 LINDORM_QUERY_TIMEOUT=1
 
 # OceanBase Vector configuration
@@ -451,6 +464,16 @@ WORKFLOW_CALL_MAX_DEPTH=5
 WORKFLOW_PARALLEL_DEPTH_LIMIT=3
 MAX_VARIABLE_SIZE=204800
 
+# GraphEngine Worker Pool Configuration
+# Minimum number of workers per GraphEngine instance (default: 1)
+GRAPH_ENGINE_MIN_WORKERS=1
+# Maximum number of workers per GraphEngine instance (default: 10)
+GRAPH_ENGINE_MAX_WORKERS=10
+# Queue depth threshold that triggers worker scale up (default: 3)
+GRAPH_ENGINE_SCALE_UP_THRESHOLD=3
+# Seconds of idle time before scaling down workers (default: 5.0)
+GRAPH_ENGINE_SCALE_DOWN_IDLE_TIME=5.0
+
 # Workflow storage configuration
 # Options: rdbms, hybrid
 # rdbms: Use only the relational database (default)
@@ -469,6 +492,13 @@ API_WORKFLOW_NODE_EXECUTION_REPOSITORY=repositories.sqlalchemy_api_workflow_node
 
 # API workflow run repository implementation
 API_WORKFLOW_RUN_REPOSITORY=repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository
+# Workflow log cleanup configuration
+# Enable automatic cleanup of workflow run logs to manage database size
+WORKFLOW_LOG_CLEANUP_ENABLED=true
+# Number of days to retain workflow run logs (default: 30 days)
+WORKFLOW_LOG_RETENTION_DAYS=30
+# Batch size for workflow log cleanup operations (default: 100)
+WORKFLOW_LOG_CLEANUP_BATCH_SIZE=100
 
 # App configuration
 APP_MAX_EXECUTION_TIME=1200
@@ -513,6 +543,7 @@ ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id}
 
 # Reset password token expiry minutes
 RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
+EMAIL_REGISTER_TOKEN_EXPIRY_MINUTES=5
 CHANGE_EMAIL_TOKEN_EXPIRY_MINUTES=5
 OWNER_TRANSFER_TOKEN_EXPIRY_MINUTES=5
 
@@ -548,3 +579,11 @@ QUEUE_MONITOR_THRESHOLD=200
 QUEUE_MONITOR_ALERT_EMAILS=
 # Monitor interval in minutes, default is 30 minutes
 QUEUE_MONITOR_INTERVAL=30
+
+# Swagger UI configuration
+SWAGGER_UI_ENABLED=true
+SWAGGER_UI_PATH=/swagger-ui.html
+
+# Whether to encrypt dataset IDs when exporting DSL files (default: true)
+# Set to false to export dataset IDs as plain text for easier cross-environment import
+DSL_EXPORT_ENCRYPT_DATASET_ID=true

api/.importlinter

@@ -0,0 +1,105 @@
+[importlinter]
+root_packages =
+    core
+    configs
+    controllers
+    models
+    tasks
+    services
+
+[importlinter:contract:workflow]
+name = Workflow
+type=layers
+layers =
+    graph_engine
+    graph_events
+    graph
+    nodes
+    node_events
+    entities
+containers =
+    core.workflow
+ignore_imports =
+    core.workflow.nodes.base.node -> core.workflow.graph_events
+    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_events
+    core.workflow.nodes.loop.loop_node -> core.workflow.graph_events
+
+    core.workflow.nodes.node_factory -> core.workflow.graph
+    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_engine
+    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph
+    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_engine.command_channels
+    core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine
+    core.workflow.nodes.loop.loop_node -> core.workflow.graph
+    core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine.command_channels
+
+[importlinter:contract:rsc]
+name = RSC
+type = layers
+layers =
+    graph_engine
+    response_coordinator
+containers =
+    core.workflow.graph_engine
+
+[importlinter:contract:worker]
+name = Worker
+type = layers
+layers =
+    graph_engine
+    worker
+containers =
+    core.workflow.graph_engine
+
+[importlinter:contract:graph-engine-architecture]
+name = Graph Engine Architecture
+type = layers
+layers =
+    graph_engine
+    orchestration
+    command_processing
+    event_management
+    error_handler
+    graph_traversal
+    graph_state_manager
+    worker_management
+    domain
+containers =
+    core.workflow.graph_engine
+
+[importlinter:contract:domain-isolation]
+name = Domain Model Isolation
+type = forbidden
+source_modules =
+    core.workflow.graph_engine.domain
+forbidden_modules =
+    core.workflow.graph_engine.worker_management
+    core.workflow.graph_engine.command_channels
+    core.workflow.graph_engine.layers
+    core.workflow.graph_engine.protocols
+
+[importlinter:contract:worker-management]
+name = Worker Management
+type = forbidden
+source_modules =
+    core.workflow.graph_engine.worker_management
+forbidden_modules =
+    core.workflow.graph_engine.orchestration
+    core.workflow.graph_engine.command_processing
+    core.workflow.graph_engine.event_management
+
+
+[importlinter:contract:graph-traversal-components]
+name = Graph Traversal Components
+type = layers
+layers =
+    edge_processor
+    skip_propagator
+containers =
+    core.workflow.graph_engine.graph_traversal
+
+[importlinter:contract:command-channels]
+name = Command Channels Independence
+type = independence
+modules =
+    core.workflow.graph_engine.command_channels.in_memory_channel
+    core.workflow.graph_engine.command_channels.redis_channel

api/.ruff.toml

@@ -5,7 +5,7 @@ line-length = 120
 quote-style = "double"
 
 [lint]
-preview = false
+preview = true
 select = [
     "B",       # flake8-bugbear rules
     "C4",      # flake8-comprehensions
@@ -30,6 +30,7 @@ select = [
     "RUF022",  # unsorted-dunder-all
     "S506",    # unsafe-yaml-load
     "SIM",     # flake8-simplify rules
+    "T201",    # print-found
     "TRY400",  # error-instead-of-exception
     "TRY401",  # verbose-log-message
     "UP",      # pyupgrade rules
@@ -43,7 +44,9 @@ select = [
     "S302", # suspicious-marshal-usage, disallow use of `marshal` module
     "S311", # suspicious-non-cryptographic-random-usage
     "G001", # don't use str format to logging messages
+    "G003", # don't use + in logging messages
     "G004", # don't use f-strings to format logging messages
+    "UP042", # use StrEnum
 ]
 
 ignore = [
@@ -63,6 +66,7 @@ ignore = [
     "B006",    # mutable-argument-default
     "B007",    # unused-loop-control-variable
     "B026",    # star-arg-unpacking-after-keyword-arg
+    "B901",    # allow return in yield
     "B903",    # class-as-data-structure
     "B904",    # raise-without-from-inside-except
     "B905",    # zip-without-explicit-strict
@@ -88,11 +92,18 @@ ignore = [
 "configs/*" = [
     "N802", # invalid-function-name
 ]
+"core/model_runtime/callbacks/base_callback.py" = [
+    "T201",
+]
+"core/workflow/callbacks/workflow_logging_callback.py" = [
+    "T201",
+]
 "libs/gmpy2_pkcs10aep_cipher.py" = [
     "N803", # invalid-argument-name
 ]
 "tests/*" = [
     "F811", # redefined-while-unused
+    "T201", # allow print in tests
 ]
 
 [lint.pyflakes]

api/Dockerfile

@@ -4,7 +4,7 @@ FROM python:3.12-slim-bookworm AS base
 WORKDIR /app/api
 
 # Install uv
-ENV UV_VERSION=0.7.11
+ENV UV_VERSION=0.8.9
 
 RUN pip install --no-cache-dir uv==${UV_VERSION}
 

api/README.md

@@ -3,7 +3,7 @@
 ## Usage
 
 > [!IMPORTANT]
-> 
+>
 > In the v1.3.0 release, `poetry` has been replaced with
 > [`uv`](https://docs.astral.sh/uv/) as the package manager
 > for Dify API backend service.
@@ -20,25 +20,29 @@
    cd ../api
    ```
 
-2. Copy `.env.example` to `.env`
+1. Copy `.env.example` to `.env`
 
    ```cli
-   cp .env.example .env 
+   cp .env.example .env
    ```
-3. Generate a `SECRET_KEY` in the `.env` file.
+
+1. Generate a `SECRET_KEY` in the `.env` file.
 
    bash for Linux
+
    ```bash for Linux
    sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
    ```
+
    bash for Mac
+
    ```bash for Mac
    secret_key=$(openssl rand -base64 42)
    sed -i '' "/^SECRET_KEY=/c\\
    SECRET_KEY=${secret_key}" .env
    ```
 
-4. Create environment.
+1. Create environment.
 
    Dify API service uses [UV](https://docs.astral.sh/uv/) to manage dependencies.
    First, you need to add the uv package manager, if you don't have it already.
@@ -49,13 +53,13 @@
    brew install uv
    ```
 
-5. Install dependencies
+1. Install dependencies
 
    ```bash
    uv sync --dev
    ```
 
-6. Run migrate
+1. Run migrate
 
    Before the first launch, migrate the database to the latest version.
 
@@ -63,24 +67,27 @@
    uv run flask db upgrade
    ```
 
-7. Start backend
+1. Start backend
 
    ```bash
    uv run flask run --host 0.0.0.0 --port=5001 --debug
    ```
 
-8. Start Dify [web](../web) service.
-9. Setup your application by visiting `http://localhost:3000`.
-10. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
+1. Start Dify [web](../web) service.
 
-   ```bash
-   uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin
-   ```
+1. Setup your application by visiting `http://localhost:3000`.
 
-   Addition, if you want to debug the celery scheduled tasks, you can use the following command in another terminal:
-   ```bash
-   uv run celery -A app.celery beat 
-   ```
+1. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
+
+```bash
+uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation
+```
+
+Addition, if you want to debug the celery scheduled tasks, you can use the following command in another terminal:
+
+```bash
+uv run celery -A app.celery beat
+```
 
 ## Testing
 
@@ -90,9 +97,16 @@
    uv sync --dev
    ```
 
-2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
+1. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`, more can check [Claude.md](../CLAUDE.md)
 
    ```bash
-   uv run -P api bash dev/pytest/pytest_all_tests.sh
-   ```
+   uv run pytest                           # Run all tests
+   uv run pytest tests/unit_tests/         # Unit tests only
+   uv run pytest tests/integration_tests/  # Integration tests
 
+   # Code quality
+   ../dev/reformat               # Run all formatters and linters
+   uv run ruff check --fix ./    # Fix linting issues
+   uv run ruff format ./         # Format code
+   uv run basedpyright .         # Type checking
+   ```

api/app.py

@@ -1,4 +1,3 @@
-import os
 import sys
 
 
@@ -17,20 +16,20 @@ else:
     # It seems that JetBrains Python debugger does not work well with gevent,
     # so we need to disable gevent in debug mode.
     # If you are using debugpy and set GEVENT_SUPPORT=True, you can debug with gevent.
-    if (flask_debug := os.environ.get("FLASK_DEBUG", "0")) and flask_debug.lower() in {"false", "0", "no"}:
-        from gevent import monkey
+    # if (flask_debug := os.environ.get("FLASK_DEBUG", "0")) and flask_debug.lower() in {"false", "0", "no"}:
+    # from gevent import monkey
+    #
+    # # gevent
+    # monkey.patch_all()
+    #
+    # from grpc.experimental import gevent as grpc_gevent  # type: ignore
+    #
+    # # grpc gevent
+    # grpc_gevent.init_gevent()
 
-        # gevent
-        monkey.patch_all()
-
-        from grpc.experimental import gevent as grpc_gevent  # type: ignore
-
-        # grpc gevent
-        grpc_gevent.init_gevent()
-
-        import psycogreen.gevent  # type: ignore
-
-        psycogreen.gevent.patch_psycopg()
+    # import psycogreen.gevent  # type: ignore
+    #
+    # psycogreen.gevent.patch_psycopg()
 
     from app_factory import create_app
 

api/app_factory.py

@@ -5,6 +5,8 @@ from configs import dify_config
 from contexts.wrapper import RecyclableContextVar
 from dify_app import DifyApp
 
+logger = logging.getLogger(__name__)
+
 
 # ----------------------------
 # Application Factory Function
@@ -23,6 +25,9 @@ def create_flask_app_with_configs() -> DifyApp:
         # add an unique identifier to each request
         RecyclableContextVar.increment_thread_recycles()
 
+    # Capture the decorator's return value to avoid pyright reportUnusedFunction
+    _ = before_request
+
     return dify_app
 
 
@@ -32,7 +37,7 @@ def create_app() -> DifyApp:
     initialize_extensions(app)
     end_time = time.perf_counter()
     if dify_config.DEBUG:
-        logging.info("Finished create_app (%s ms)", round((end_time - start_time) * 1000, 2))
+        logger.info("Finished create_app (%s ms)", round((end_time - start_time) * 1000, 2))
     return app
 
 
@@ -51,6 +56,7 @@ def initialize_extensions(app: DifyApp):
         ext_login,
         ext_mail,
         ext_migrate,
+        ext_orjson,
         ext_otel,
         ext_proxy_fix,
         ext_redis,
@@ -67,6 +73,7 @@ def initialize_extensions(app: DifyApp):
         ext_logging,
         ext_warnings,
         ext_import_modules,
+        ext_orjson,
         ext_set_secretkey,
         ext_compress,
         ext_code_based_extension,
@@ -91,14 +98,14 @@ def initialize_extensions(app: DifyApp):
         is_enabled = ext.is_enabled() if hasattr(ext, "is_enabled") else True
         if not is_enabled:
             if dify_config.DEBUG:
-                logging.info("Skipped %s", short_name)
+                logger.info("Skipped %s", short_name)
             continue
 
         start_time = time.perf_counter()
         ext.init_app(app)
         end_time = time.perf_counter()
         if dify_config.DEBUG:
-            logging.info("Loaded %s (%s ms)", short_name, round((end_time - start_time) * 1000, 2))
+            logger.info("Loaded %s (%s ms)", short_name, round((end_time - start_time) * 1000, 2))
 
 
 def create_migrations_app():

api/celery_entrypoint.py

@@ -0,0 +1,13 @@
+import psycogreen.gevent as pscycogreen_gevent  # type: ignore
+from grpc.experimental import gevent as grpc_gevent  # type: ignore
+
+# grpc gevent
+grpc_gevent.init_gevent()
+print("gRPC patched with gevent.", flush=True)  # noqa: T201
+pscycogreen_gevent.patch_psycopg()
+print("psycopg2 patched with gevent.", flush=True)  # noqa: T201
+
+
+from app import app, celery
+
+__all__ = ["app", "celery"]

api/commands.py

@@ -2,7 +2,7 @@ import base64
 import json
 import logging
 import secrets
-from typing import Any, Optional
+from typing import Any
 
 import click
 import sqlalchemy as sa
@@ -10,32 +10,44 @@ from flask import current_app
 from pydantic import TypeAdapter
 from sqlalchemy import select
 from sqlalchemy.exc import SQLAlchemyError
+from sqlalchemy.orm import sessionmaker
 
 from configs import dify_config
 from constants.languages import languages
-from core.plugin.entities.plugin import ToolProviderID
+from core.helper import encrypter
+from core.plugin.impl.plugin import PluginInstaller
 from core.rag.datasource.vdb.vector_factory import Vector
 from core.rag.datasource.vdb.vector_type import VectorType
 from core.rag.index_processor.constant.built_in_field import BuiltInField
 from core.rag.models.document import Document
+from core.tools.entities.tool_entities import CredentialType
 from core.tools.utils.system_oauth_encryption import encrypt_system_oauth_params
 from events.app_event import app_was_created
 from extensions.ext_database import db
 from extensions.ext_redis import redis_client
 from extensions.ext_storage import storage
+from extensions.storage.opendal_storage import OpenDALStorage
+from extensions.storage.storage_type import StorageType
 from libs.helper import email as email_validate
 from libs.password import hash_password, password_pattern, valid_password
 from libs.rsa import generate_key_pair
 from models import Tenant
 from models.dataset import Dataset, DatasetCollectionBinding, DatasetMetadata, DatasetMetadataBinding, DocumentSegment
 from models.dataset import Document as DatasetDocument
-from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
+from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation, UploadFile
+from models.oauth import DatasourceOauthParamConfig, DatasourceProvider
 from models.provider import Provider, ProviderModel
+from models.provider_ids import DatasourceProviderID, ToolProviderID
+from models.source import DataSourceApiKeyAuthBinding, DataSourceOauthBinding
 from models.tools import ToolOAuthSystemClient
 from services.account_service import AccountService, RegisterService, TenantService
 from services.clear_free_plan_tenant_expired_logs import ClearFreePlanTenantExpiredLogs
 from services.plugin.data_migration import PluginDataMigration
 from services.plugin.plugin_migration import PluginMigration
+from services.plugin.plugin_service import PluginService
+from tasks.remove_app_and_related_data_task import delete_draft_variables_batch
+
+logger = logging.getLogger(__name__)
 
 
 @click.command("reset-password", help="Reset the account password.")
@@ -50,31 +62,30 @@ def reset_password(email, new_password, password_confirm):
     if str(new_password).strip() != str(password_confirm).strip():
         click.echo(click.style("Passwords do not match.", fg="red"))
         return
+    with sessionmaker(db.engine, expire_on_commit=False).begin() as session:
+        account = session.query(Account).where(Account.email == email).one_or_none()
 
-    account = db.session.query(Account).where(Account.email == email).one_or_none()
+        if not account:
+            click.echo(click.style(f"Account not found for email: {email}", fg="red"))
+            return
 
-    if not account:
-        click.echo(click.style(f"Account not found for email: {email}", fg="red"))
-        return
+        try:
+            valid_password(new_password)
+        except:
+            click.echo(click.style(f"Invalid password. Must match {password_pattern}", fg="red"))
+            return
 
-    try:
-        valid_password(new_password)
-    except:
-        click.echo(click.style(f"Invalid password. Must match {password_pattern}", fg="red"))
-        return
+        # generate password salt
+        salt = secrets.token_bytes(16)
+        base64_salt = base64.b64encode(salt).decode()
 
-    # generate password salt
-    salt = secrets.token_bytes(16)
-    base64_salt = base64.b64encode(salt).decode()
-
-    # encrypt password with salt
-    password_hashed = hash_password(new_password, salt)
-    base64_password_hashed = base64.b64encode(password_hashed).decode()
-    account.password = base64_password_hashed
-    account.password_salt = base64_salt
-    db.session.commit()
-    AccountService.reset_login_error_rate_limit(email)
-    click.echo(click.style("Password reset successfully.", fg="green"))
+        # encrypt password with salt
+        password_hashed = hash_password(new_password, salt)
+        base64_password_hashed = base64.b64encode(password_hashed).decode()
+        account.password = base64_password_hashed
+        account.password_salt = base64_salt
+        AccountService.reset_login_error_rate_limit(email)
+        click.echo(click.style("Password reset successfully.", fg="green"))
 
 
 @click.command("reset-email", help="Reset the account email.")
@@ -89,22 +100,21 @@ def reset_email(email, new_email, email_confirm):
     if str(new_email).strip() != str(email_confirm).strip():
         click.echo(click.style("New emails do not match.", fg="red"))
         return
+    with sessionmaker(db.engine, expire_on_commit=False).begin() as session:
+        account = session.query(Account).where(Account.email == email).one_or_none()
 
-    account = db.session.query(Account).where(Account.email == email).one_or_none()
+        if not account:
+            click.echo(click.style(f"Account not found for email: {email}", fg="red"))
+            return
 
-    if not account:
-        click.echo(click.style(f"Account not found for email: {email}", fg="red"))
-        return
+        try:
+            email_validate(new_email)
+        except:
+            click.echo(click.style(f"Invalid email: {new_email}", fg="red"))
+            return
 
-    try:
-        email_validate(new_email)
-    except:
-        click.echo(click.style(f"Invalid email: {new_email}", fg="red"))
-        return
-
-    account.email = new_email
-    db.session.commit()
-    click.echo(click.style("Email updated successfully.", fg="green"))
+        account.email = new_email
+        click.echo(click.style("Email updated successfully.", fg="green"))
 
 
 @click.command(
@@ -128,25 +138,24 @@ def reset_encrypt_key_pair():
     if dify_config.EDITION != "SELF_HOSTED":
         click.echo(click.style("This command is only for SELF_HOSTED installations.", fg="red"))
         return
+    with sessionmaker(db.engine, expire_on_commit=False).begin() as session:
+        tenants = session.query(Tenant).all()
+        for tenant in tenants:
+            if not tenant:
+                click.echo(click.style("No workspaces found. Run /install first.", fg="red"))
+                return
 
-    tenants = db.session.query(Tenant).all()
-    for tenant in tenants:
-        if not tenant:
-            click.echo(click.style("No workspaces found. Run /install first.", fg="red"))
-            return
+            tenant.encrypt_public_key = generate_key_pair(tenant.id)
 
-        tenant.encrypt_public_key = generate_key_pair(tenant.id)
+            session.query(Provider).where(Provider.provider_type == "custom", Provider.tenant_id == tenant.id).delete()
+            session.query(ProviderModel).where(ProviderModel.tenant_id == tenant.id).delete()
 
-        db.session.query(Provider).where(Provider.provider_type == "custom", Provider.tenant_id == tenant.id).delete()
-        db.session.query(ProviderModel).where(ProviderModel.tenant_id == tenant.id).delete()
-        db.session.commit()
-
-        click.echo(
-            click.style(
-                f"Congratulations! The asymmetric key pair of workspace {tenant.id} has been reset.",
-                fg="green",
+            click.echo(
+                click.style(
+                    f"Congratulations! The asymmetric key pair of workspace {tenant.id} has been reset.",
+                    fg="green",
+                )
             )
-        )
 
 
 @click.command("vdb-migrate", help="Migrate vector db.")
@@ -171,14 +180,15 @@ def migrate_annotation_vector_database():
         try:
             # get apps info
             per_page = 50
-            apps = (
-                db.session.query(App)
-                .where(App.status == "normal")
-                .order_by(App.created_at.desc())
-                .limit(per_page)
-                .offset((page - 1) * per_page)
-                .all()
-            )
+            with sessionmaker(db.engine, expire_on_commit=False).begin() as session:
+                apps = (
+                    session.query(App)
+                    .where(App.status == "normal")
+                    .order_by(App.created_at.desc())
+                    .limit(per_page)
+                    .offset((page - 1) * per_page)
+                    .all()
+                )
             if not apps:
                 break
         except SQLAlchemyError:
@@ -192,24 +202,27 @@ def migrate_annotation_vector_database():
             )
             try:
                 click.echo(f"Creating app annotation index: {app.id}")
-                app_annotation_setting = (
-                    db.session.query(AppAnnotationSetting).where(AppAnnotationSetting.app_id == app.id).first()
-                )
+                with sessionmaker(db.engine, expire_on_commit=False).begin() as session:
+                    app_annotation_setting = (
+                        session.query(AppAnnotationSetting).where(AppAnnotationSetting.app_id == app.id).first()
+                    )
 
-                if not app_annotation_setting:
-                    skipped_count = skipped_count + 1
-                    click.echo(f"App annotation setting disabled: {app.id}")
-                    continue
-                # get dataset_collection_binding info
-                dataset_collection_binding = (
-                    db.session.query(DatasetCollectionBinding)
-                    .where(DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id)
-                    .first()
-                )
-                if not dataset_collection_binding:
-                    click.echo(f"App annotation collection binding not found: {app.id}")
-                    continue
-                annotations = db.session.query(MessageAnnotation).where(MessageAnnotation.app_id == app.id).all()
+                    if not app_annotation_setting:
+                        skipped_count = skipped_count + 1
+                        click.echo(f"App annotation setting disabled: {app.id}")
+                        continue
+                    # get dataset_collection_binding info
+                    dataset_collection_binding = (
+                        session.query(DatasetCollectionBinding)
+                        .where(DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id)
+                        .first()
+                    )
+                    if not dataset_collection_binding:
+                        click.echo(f"App annotation collection binding not found: {app.id}")
+                        continue
+                    annotations = session.scalars(
+                        select(MessageAnnotation).where(MessageAnnotation.app_id == app.id)
+                    ).all()
                 dataset = Dataset(
                     id=app.id,
                     tenant_id=app.tenant_id,
@@ -364,29 +377,25 @@ def migrate_knowledge_vector_database():
                     )
                     raise e
 
-                dataset_documents = (
-                    db.session.query(DatasetDocument)
-                    .where(
+                dataset_documents = db.session.scalars(
+                    select(DatasetDocument).where(
                         DatasetDocument.dataset_id == dataset.id,
                         DatasetDocument.indexing_status == "completed",
                         DatasetDocument.enabled == True,
                         DatasetDocument.archived == False,
                     )
-                    .all()
-                )
+                ).all()
 
                 documents = []
                 segments_count = 0
                 for dataset_document in dataset_documents:
-                    segments = (
-                        db.session.query(DocumentSegment)
-                        .where(
+                    segments = db.session.scalars(
+                        select(DocumentSegment).where(
                             DocumentSegment.document_id == dataset_document.id,
                             DocumentSegment.status == "completed",
                             DocumentSegment.enabled == True,
                         )
-                        .all()
-                    )
+                    ).all()
 
                     for segment in segments:
                         document = Document(
@@ -476,12 +485,12 @@ def convert_to_agent_apps():
             click.echo(f"Converting app: {app.id}")
 
             try:
-                app.mode = AppMode.AGENT_CHAT.value
+                app.mode = AppMode.AGENT_CHAT
                 db.session.commit()
 
                 # update conversation mode to agent
                 db.session.query(Conversation).where(Conversation.app_id == app.id).update(
-                    {Conversation.mode: AppMode.AGENT_CHAT.value}
+                    {Conversation.mode: AppMode.AGENT_CHAT}
                 )
 
                 db.session.commit()
@@ -508,7 +517,7 @@ def add_qdrant_index(field: str):
         from qdrant_client.http.exceptions import UnexpectedResponse
         from qdrant_client.http.models import PayloadSchemaType
 
-        from core.rag.datasource.vdb.qdrant.qdrant_vector import QdrantConfig
+        from core.rag.datasource.vdb.qdrant.qdrant_vector import PathQdrantParams, QdrantConfig
 
         for binding in bindings:
             if dify_config.QDRANT_URL is None:
@@ -522,7 +531,21 @@ def add_qdrant_index(field: str):
                 prefer_grpc=dify_config.QDRANT_GRPC_ENABLED,
             )
             try:
-                client = qdrant_client.QdrantClient(**qdrant_config.to_qdrant_params())
+                params = qdrant_config.to_qdrant_params()
+                # Check the type before using
+                if isinstance(params, PathQdrantParams):
+                    # PathQdrantParams case
+                    client = qdrant_client.QdrantClient(path=params.path)
+                else:
+                    # UrlQdrantParams case - params is UrlQdrantParams
+                    client = qdrant_client.QdrantClient(
+                        url=params.url,
+                        api_key=params.api_key,
+                        timeout=int(params.timeout),
+                        verify=params.verify,
+                        grpc_port=params.grpc_port,
+                        prefer_grpc=params.prefer_grpc,
+                    )
                 # create payload index
                 client.create_payload_index(binding.collection_name, field, field_schema=PayloadSchemaType.KEYWORD)
                 create_count += 1
@@ -568,7 +591,7 @@ def old_metadata_migration():
         for document in documents:
             if document.doc_metadata:
                 doc_metadata = document.doc_metadata
-                for key, value in doc_metadata.items():
+                for key in doc_metadata:
                     for field in BuiltInField:
                         if field.value == key:
                             break
@@ -624,7 +647,7 @@ def old_metadata_migration():
 @click.option("--email", prompt=True, help="Tenant account email.")
 @click.option("--name", prompt=True, help="Workspace name.")
 @click.option("--language", prompt=True, help="Account language, default: en-US.")
-def create_tenant(email: str, language: Optional[str] = None, name: Optional[str] = None):
+def create_tenant(email: str, language: str | None = None, name: str | None = None):
     """
     Create tenant account
     """
@@ -684,7 +707,7 @@ def upgrade_db():
             click.echo(click.style("Database migration successful!", fg="green"))
 
         except Exception:
-            logging.exception("Failed to execute database migration")
+            logger.exception("Failed to execute database migration")
         finally:
             lock.release()
     else:
@@ -716,23 +739,23 @@ where sites.id is null limit 1000"""
                 try:
                     app = db.session.query(App).where(App.id == app_id).first()
                     if not app:
-                        print(f"App {app_id} not found")
+                        logger.info("App %s not found", app_id)
                         continue
 
                     tenant = app.tenant
                     if tenant:
                         accounts = tenant.get_accounts()
                         if not accounts:
-                            print(f"Fix failed for app {app.id}")
+                            logger.info("Fix failed for app %s", app.id)
                             continue
 
                         account = accounts[0]
-                        print(f"Fixing missing site for app {app.id}")
+                        logger.info("Fixing missing site for app %s", app.id)
                         app_was_created.send(app, account=account)
                 except Exception:
                     failed_app_ids.append(app_id)
                     click.echo(click.style(f"Failed to fix missing site for app {app_id}", fg="red"))
-                    logging.exception("Failed to fix app related site missing issue, app_id: %s", app_id)
+                    logger.exception("Failed to fix app related site missing issue, app_id: %s", app_id)
                     continue
 
             if not processed_count:
@@ -938,7 +961,7 @@ def clear_orphaned_file_records(force: bool):
             click.echo(click.style("- Deleting orphaned message_files records", fg="white"))
             query = "DELETE FROM message_files WHERE id IN :ids"
             with db.engine.begin() as conn:
-                conn.execute(sa.text(query), {"ids": tuple([record["id"] for record in orphaned_message_files])})
+                conn.execute(sa.text(query), {"ids": tuple(record["id"] for record in orphaned_message_files)})
             click.echo(
                 click.style(f"Removed {len(orphaned_message_files)} orphaned message_files records.", fg="green")
             )
@@ -1202,3 +1225,602 @@ def setup_system_tool_oauth_client(provider, client_params):
     db.session.add(oauth_client)
     db.session.commit()
     click.echo(click.style(f"OAuth client params setup successfully. id: {oauth_client.id}", fg="green"))
+
+
+def _find_orphaned_draft_variables(batch_size: int = 1000) -> list[str]:
+    """
+    Find draft variables that reference non-existent apps.
+
+    Args:
+        batch_size: Maximum number of orphaned app IDs to return
+
+    Returns:
+        List of app IDs that have draft variables but don't exist in the apps table
+    """
+    query = """
+        SELECT DISTINCT wdv.app_id
+        FROM workflow_draft_variables AS wdv
+        WHERE NOT EXISTS(
+            SELECT 1 FROM apps WHERE apps.id = wdv.app_id
+        )
+        LIMIT :batch_size
+    """
+
+    with db.engine.connect() as conn:
+        result = conn.execute(sa.text(query), {"batch_size": batch_size})
+        return [row[0] for row in result]
+
+
+def _count_orphaned_draft_variables() -> dict[str, Any]:
+    """
+    Count orphaned draft variables by app, including associated file counts.
+
+    Returns:
+        Dictionary with statistics about orphaned variables and files
+    """
+    # Count orphaned variables by app
+    variables_query = """
+        SELECT
+            wdv.app_id,
+            COUNT(*) as variable_count,
+            COUNT(wdv.file_id) as file_count
+        FROM workflow_draft_variables AS wdv
+        WHERE NOT EXISTS(
+            SELECT 1 FROM apps WHERE apps.id = wdv.app_id
+        )
+        GROUP BY wdv.app_id
+        ORDER BY variable_count DESC
+    """
+
+    with db.engine.connect() as conn:
+        result = conn.execute(sa.text(variables_query))
+        orphaned_by_app = {}
+        total_files = 0
+
+        for row in result:
+            app_id, variable_count, file_count = row
+            orphaned_by_app[app_id] = {"variables": variable_count, "files": file_count}
+            total_files += file_count
+
+        total_orphaned = sum(app_data["variables"] for app_data in orphaned_by_app.values())
+        app_count = len(orphaned_by_app)
+
+        return {
+            "total_orphaned_variables": total_orphaned,
+            "total_orphaned_files": total_files,
+            "orphaned_app_count": app_count,
+            "orphaned_by_app": orphaned_by_app,
+        }
+
+
+@click.command()
+@click.option("--dry-run", is_flag=True, help="Show what would be deleted without actually deleting")
+@click.option("--batch-size", default=1000, help="Number of records to process per batch (default 1000)")
+@click.option("--max-apps", default=None, type=int, help="Maximum number of apps to process (default: no limit)")
+@click.option("-f", "--force", is_flag=True, help="Skip user confirmation and force the command to execute.")
+def cleanup_orphaned_draft_variables(
+    dry_run: bool,
+    batch_size: int,
+    max_apps: int | None,
+    force: bool = False,
+):
+    """
+    Clean up orphaned draft variables from the database.
+
+    This script finds and removes draft variables that belong to apps
+    that no longer exist in the database.
+    """
+    logger = logging.getLogger(__name__)
+
+    # Get statistics
+    stats = _count_orphaned_draft_variables()
+
+    logger.info("Found %s orphaned draft variables", stats["total_orphaned_variables"])
+    logger.info("Found %s associated offload files", stats["total_orphaned_files"])
+    logger.info("Across %s non-existent apps", stats["orphaned_app_count"])
+
+    if stats["total_orphaned_variables"] == 0:
+        logger.info("No orphaned draft variables found. Exiting.")
+        return
+
+    if dry_run:
+        logger.info("DRY RUN: Would delete the following:")
+        for app_id, data in sorted(stats["orphaned_by_app"].items(), key=lambda x: x[1]["variables"], reverse=True)[
+            :10
+        ]:  # Show top 10
+            logger.info("  App %s: %s variables, %s files", app_id, data["variables"], data["files"])
+        if len(stats["orphaned_by_app"]) > 10:
+            logger.info("  ... and %s more apps", len(stats["orphaned_by_app"]) - 10)
+        return
+
+    # Confirm deletion
+    if not force:
+        click.confirm(
+            f"Are you sure you want to delete {stats['total_orphaned_variables']} "
+            f"orphaned draft variables and {stats['total_orphaned_files']} associated files "
+            f"from {stats['orphaned_app_count']} apps?",
+            abort=True,
+        )
+
+    total_deleted = 0
+    processed_apps = 0
+
+    while True:
+        if max_apps and processed_apps >= max_apps:
+            logger.info("Reached maximum app limit (%s). Stopping.", max_apps)
+            break
+
+        orphaned_app_ids = _find_orphaned_draft_variables(batch_size=10)
+        if not orphaned_app_ids:
+            logger.info("No more orphaned draft variables found.")
+            break
+
+        for app_id in orphaned_app_ids:
+            if max_apps and processed_apps >= max_apps:
+                break
+
+            try:
+                deleted_count = delete_draft_variables_batch(app_id, batch_size)
+                total_deleted += deleted_count
+                processed_apps += 1
+
+                logger.info("Deleted %s variables for app %s", deleted_count, app_id)
+
+            except Exception:
+                logger.exception("Error processing app %s", app_id)
+                continue
+
+    logger.info("Cleanup completed. Total deleted: %s variables across %s apps", total_deleted, processed_apps)
+
+
+@click.command("setup-datasource-oauth-client", help="Setup datasource oauth client.")
+@click.option("--provider", prompt=True, help="Provider name")
+@click.option("--client-params", prompt=True, help="Client Params")
+def setup_datasource_oauth_client(provider, client_params):
+    """
+    Setup datasource oauth client
+    """
+    provider_id = DatasourceProviderID(provider)
+    provider_name = provider_id.provider_name
+    plugin_id = provider_id.plugin_id
+
+    try:
+        # json validate
+        click.echo(click.style(f"Validating client params: {client_params}", fg="yellow"))
+        client_params_dict = TypeAdapter(dict[str, Any]).validate_json(client_params)
+        click.echo(click.style("Client params validated successfully.", fg="green"))
+    except Exception as e:
+        click.echo(click.style(f"Error parsing client params: {str(e)}", fg="red"))
+        return
+
+    click.echo(click.style(f"Ready to delete existing oauth client params: {provider_name}", fg="yellow"))
+    deleted_count = (
+        db.session.query(DatasourceOauthParamConfig)
+        .filter_by(
+            provider=provider_name,
+            plugin_id=plugin_id,
+        )
+        .delete()
+    )
+    if deleted_count > 0:
+        click.echo(click.style(f"Deleted {deleted_count} existing oauth client params.", fg="yellow"))
+
+    click.echo(click.style(f"Ready to setup datasource oauth client: {provider_name}", fg="yellow"))
+    oauth_client = DatasourceOauthParamConfig(
+        provider=provider_name,
+        plugin_id=plugin_id,
+        system_credentials=client_params_dict,
+    )
+    db.session.add(oauth_client)
+    db.session.commit()
+    click.echo(click.style(f"provider: {provider_name}", fg="green"))
+    click.echo(click.style(f"plugin_id: {plugin_id}", fg="green"))
+    click.echo(click.style(f"params: {json.dumps(client_params_dict, indent=2, ensure_ascii=False)}", fg="green"))
+    click.echo(click.style(f"Datasource oauth client setup successfully. id: {oauth_client.id}", fg="green"))
+
+
+@click.command("transform-datasource-credentials", help="Transform datasource credentials.")
+def transform_datasource_credentials():
+    """
+    Transform datasource credentials
+    """
+    try:
+        installer_manager = PluginInstaller()
+        plugin_migration = PluginMigration()
+
+        notion_plugin_id = "langgenius/notion_datasource"
+        firecrawl_plugin_id = "langgenius/firecrawl_datasource"
+        jina_plugin_id = "langgenius/jina_datasource"
+        notion_plugin_unique_identifier = plugin_migration._fetch_plugin_unique_identifier(notion_plugin_id)  # pyright: ignore[reportPrivateUsage]
+        firecrawl_plugin_unique_identifier = plugin_migration._fetch_plugin_unique_identifier(firecrawl_plugin_id)  # pyright: ignore[reportPrivateUsage]
+        jina_plugin_unique_identifier = plugin_migration._fetch_plugin_unique_identifier(jina_plugin_id)  # pyright: ignore[reportPrivateUsage]
+        oauth_credential_type = CredentialType.OAUTH2
+        api_key_credential_type = CredentialType.API_KEY
+
+        # deal notion credentials
+        deal_notion_count = 0
+        notion_credentials = db.session.query(DataSourceOauthBinding).filter_by(provider="notion").all()
+        if notion_credentials:
+            notion_credentials_tenant_mapping: dict[str, list[DataSourceOauthBinding]] = {}
+            for notion_credential in notion_credentials:
+                tenant_id = notion_credential.tenant_id
+                if tenant_id not in notion_credentials_tenant_mapping:
+                    notion_credentials_tenant_mapping[tenant_id] = []
+                notion_credentials_tenant_mapping[tenant_id].append(notion_credential)
+            for tenant_id, notion_tenant_credentials in notion_credentials_tenant_mapping.items():
+                tenant = db.session.query(Tenant).filter_by(id=tenant_id).first()
+                if not tenant:
+                    continue
+                try:
+                    # check notion plugin is installed
+                    installed_plugins = installer_manager.list_plugins(tenant_id)
+                    installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
+                    if notion_plugin_id not in installed_plugins_ids:
+                        if notion_plugin_unique_identifier:
+                            # install notion plugin
+                            PluginService.install_from_marketplace_pkg(tenant_id, [notion_plugin_unique_identifier])
+                    auth_count = 0
+                    for notion_tenant_credential in notion_tenant_credentials:
+                        auth_count += 1
+                        # get credential oauth params
+                        access_token = notion_tenant_credential.access_token
+                        # notion info
+                        notion_info = notion_tenant_credential.source_info
+                        workspace_id = notion_info.get("workspace_id")
+                        workspace_name = notion_info.get("workspace_name")
+                        workspace_icon = notion_info.get("workspace_icon")
+                        new_credentials = {
+                            "integration_secret": encrypter.encrypt_token(tenant_id, access_token),
+                            "workspace_id": workspace_id,
+                            "workspace_name": workspace_name,
+                            "workspace_icon": workspace_icon,
+                        }
+                        datasource_provider = DatasourceProvider(
+                            provider="notion_datasource",
+                            tenant_id=tenant_id,
+                            plugin_id=notion_plugin_id,
+                            auth_type=oauth_credential_type.value,
+                            encrypted_credentials=new_credentials,
+                            name=f"Auth {auth_count}",
+                            avatar_url=workspace_icon or "default",
+                            is_default=False,
+                        )
+                        db.session.add(datasource_provider)
+                        deal_notion_count += 1
+                except Exception as e:
+                    click.echo(
+                        click.style(
+                            f"Error transforming notion credentials: {str(e)}, tenant_id: {tenant_id}", fg="red"
+                        )
+                    )
+                    continue
+                db.session.commit()
+        # deal firecrawl credentials
+        deal_firecrawl_count = 0
+        firecrawl_credentials = db.session.query(DataSourceApiKeyAuthBinding).filter_by(provider="firecrawl").all()
+        if firecrawl_credentials:
+            firecrawl_credentials_tenant_mapping: dict[str, list[DataSourceApiKeyAuthBinding]] = {}
+            for firecrawl_credential in firecrawl_credentials:
+                tenant_id = firecrawl_credential.tenant_id
+                if tenant_id not in firecrawl_credentials_tenant_mapping:
+                    firecrawl_credentials_tenant_mapping[tenant_id] = []
+                firecrawl_credentials_tenant_mapping[tenant_id].append(firecrawl_credential)
+            for tenant_id, firecrawl_tenant_credentials in firecrawl_credentials_tenant_mapping.items():
+                tenant = db.session.query(Tenant).filter_by(id=tenant_id).first()
+                if not tenant:
+                    continue
+                try:
+                    # check firecrawl plugin is installed
+                    installed_plugins = installer_manager.list_plugins(tenant_id)
+                    installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
+                    if firecrawl_plugin_id not in installed_plugins_ids:
+                        if firecrawl_plugin_unique_identifier:
+                            # install firecrawl plugin
+                            PluginService.install_from_marketplace_pkg(tenant_id, [firecrawl_plugin_unique_identifier])
+
+                    auth_count = 0
+                    for firecrawl_tenant_credential in firecrawl_tenant_credentials:
+                        auth_count += 1
+                        # get credential api key
+                        credentials_json = json.loads(firecrawl_tenant_credential.credentials)
+                        api_key = credentials_json.get("config", {}).get("api_key")
+                        base_url = credentials_json.get("config", {}).get("base_url")
+                        new_credentials = {
+                            "firecrawl_api_key": api_key,
+                            "base_url": base_url,
+                        }
+                        datasource_provider = DatasourceProvider(
+                            provider="firecrawl",
+                            tenant_id=tenant_id,
+                            plugin_id=firecrawl_plugin_id,
+                            auth_type=api_key_credential_type.value,
+                            encrypted_credentials=new_credentials,
+                            name=f"Auth {auth_count}",
+                            avatar_url="default",
+                            is_default=False,
+                        )
+                        db.session.add(datasource_provider)
+                        deal_firecrawl_count += 1
+                except Exception as e:
+                    click.echo(
+                        click.style(
+                            f"Error transforming firecrawl credentials: {str(e)}, tenant_id: {tenant_id}", fg="red"
+                        )
+                    )
+                    continue
+                db.session.commit()
+        # deal jina credentials
+        deal_jina_count = 0
+        jina_credentials = db.session.query(DataSourceApiKeyAuthBinding).filter_by(provider="jinareader").all()
+        if jina_credentials:
+            jina_credentials_tenant_mapping: dict[str, list[DataSourceApiKeyAuthBinding]] = {}
+            for jina_credential in jina_credentials:
+                tenant_id = jina_credential.tenant_id
+                if tenant_id not in jina_credentials_tenant_mapping:
+                    jina_credentials_tenant_mapping[tenant_id] = []
+                jina_credentials_tenant_mapping[tenant_id].append(jina_credential)
+            for tenant_id, jina_tenant_credentials in jina_credentials_tenant_mapping.items():
+                tenant = db.session.query(Tenant).filter_by(id=tenant_id).first()
+                if not tenant:
+                    continue
+                try:
+                    # check jina plugin is installed
+                    installed_plugins = installer_manager.list_plugins(tenant_id)
+                    installed_plugins_ids = [plugin.plugin_id for plugin in installed_plugins]
+                    if jina_plugin_id not in installed_plugins_ids:
+                        if jina_plugin_unique_identifier:
+                            # install jina plugin
+                            logger.debug("Installing Jina plugin %s", jina_plugin_unique_identifier)
+                            PluginService.install_from_marketplace_pkg(tenant_id, [jina_plugin_unique_identifier])
+
+                    auth_count = 0
+                    for jina_tenant_credential in jina_tenant_credentials:
+                        auth_count += 1
+                        # get credential api key
+                        credentials_json = json.loads(jina_tenant_credential.credentials)
+                        api_key = credentials_json.get("config", {}).get("api_key")
+                        new_credentials = {
+                            "integration_secret": api_key,
+                        }
+                        datasource_provider = DatasourceProvider(
+                            provider="jina",
+                            tenant_id=tenant_id,
+                            plugin_id=jina_plugin_id,
+                            auth_type=api_key_credential_type.value,
+                            encrypted_credentials=new_credentials,
+                            name=f"Auth {auth_count}",
+                            avatar_url="default",
+                            is_default=False,
+                        )
+                        db.session.add(datasource_provider)
+                        deal_jina_count += 1
+                except Exception as e:
+                    click.echo(
+                        click.style(f"Error transforming jina credentials: {str(e)}, tenant_id: {tenant_id}", fg="red")
+                    )
+                    continue
+                db.session.commit()
+    except Exception as e:
+        click.echo(click.style(f"Error parsing client params: {str(e)}", fg="red"))
+        return
+    click.echo(click.style(f"Transforming notion successfully. deal_notion_count: {deal_notion_count}", fg="green"))
+    click.echo(
+        click.style(f"Transforming firecrawl successfully. deal_firecrawl_count: {deal_firecrawl_count}", fg="green")
+    )
+    click.echo(click.style(f"Transforming jina successfully. deal_jina_count: {deal_jina_count}", fg="green"))
+
+
+@click.command("install-rag-pipeline-plugins", help="Install rag pipeline plugins.")
+@click.option(
+    "--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl"
+)
+@click.option(
+    "--output_file", prompt=True, help="The file to store the installed plugins.", default="installed_plugins.jsonl"
+)
+@click.option("--workers", prompt=True, help="The number of workers to install plugins.", default=100)
+def install_rag_pipeline_plugins(input_file, output_file, workers):
+    """
+    Install rag pipeline plugins
+    """
+    click.echo(click.style("Installing rag pipeline plugins", fg="yellow"))
+    plugin_migration = PluginMigration()
+    plugin_migration.install_rag_pipeline_plugins(
+        input_file,
+        output_file,
+        workers,
+    )
+    click.echo(click.style("Installing rag pipeline plugins successfully", fg="green"))
+
+
+@click.command(
+    "migrate-oss",
+    help="Migrate files from Local or OpenDAL source to a cloud OSS storage (destination must NOT be local/opendal).",
+)
+@click.option(
+    "--path",
+    "paths",
+    multiple=True,
+    help="Storage path prefixes to migrate (repeatable). Defaults: privkeys, upload_files, image_files,"
+    " tools, website_files, keyword_files, ops_trace",
+)
+@click.option(
+    "--source",
+    type=click.Choice(["local", "opendal"], case_sensitive=False),
+    default="opendal",
+    show_default=True,
+    help="Source storage type to read from",
+)
+@click.option("--overwrite", is_flag=True, default=False, help="Overwrite destination if file already exists")
+@click.option("--dry-run", is_flag=True, default=False, help="Show what would be migrated without uploading")
+@click.option("-f", "--force", is_flag=True, help="Skip confirmation and run without prompts")
+@click.option(
+    "--update-db/--no-update-db",
+    default=True,
+    help="Update upload_files.storage_type from source type to current storage after migration",
+)
+def migrate_oss(
+    paths: tuple[str, ...],
+    source: str,
+    overwrite: bool,
+    dry_run: bool,
+    force: bool,
+    update_db: bool,
+):
+    """
+    Copy all files under selected prefixes from a source storage
+    (Local filesystem or OpenDAL-backed) into the currently configured
+    destination storage backend, then optionally update DB records.
+
+    Expected usage: set STORAGE_TYPE (and its credentials) to your target backend.
+    """
+    # Ensure target storage is not local/opendal
+    if dify_config.STORAGE_TYPE in (StorageType.LOCAL, StorageType.OPENDAL):
+        click.echo(
+            click.style(
+                "Target STORAGE_TYPE must be a cloud OSS (not 'local' or 'opendal').\n"
+                "Please set STORAGE_TYPE to one of: s3, aliyun-oss, azure-blob, google-storage, tencent-cos, \n"
+                "volcengine-tos, supabase, oci-storage, huawei-obs, baidu-obs, clickzetta-volume.",
+                fg="red",
+            )
+        )
+        return
+
+    # Default paths if none specified
+    default_paths = ("privkeys", "upload_files", "image_files", "tools", "website_files", "keyword_files", "ops_trace")
+    path_list = list(paths) if paths else list(default_paths)
+    is_source_local = source.lower() == "local"
+
+    click.echo(click.style("Preparing migration to target storage.", fg="yellow"))
+    click.echo(click.style(f"Target storage type: {dify_config.STORAGE_TYPE}", fg="white"))
+    if is_source_local:
+        src_root = dify_config.STORAGE_LOCAL_PATH
+        click.echo(click.style(f"Source: local fs, root: {src_root}", fg="white"))
+    else:
+        click.echo(click.style(f"Source: opendal scheme={dify_config.OPENDAL_SCHEME}", fg="white"))
+    click.echo(click.style(f"Paths to migrate: {', '.join(path_list)}", fg="white"))
+    click.echo("")
+
+    if not force:
+        click.confirm("Proceed with migration?", abort=True)
+
+    # Instantiate source storage
+    try:
+        if is_source_local:
+            src_root = dify_config.STORAGE_LOCAL_PATH
+            source_storage = OpenDALStorage(scheme="fs", root=src_root)
+        else:
+            source_storage = OpenDALStorage(scheme=dify_config.OPENDAL_SCHEME)
+    except Exception as e:
+        click.echo(click.style(f"Failed to initialize source storage: {str(e)}", fg="red"))
+        return
+
+    total_files = 0
+    copied_files = 0
+    skipped_files = 0
+    errored_files = 0
+    copied_upload_file_keys: list[str] = []
+
+    for prefix in path_list:
+        click.echo(click.style(f"Scanning source path: {prefix}", fg="white"))
+        try:
+            keys = source_storage.scan(path=prefix, files=True, directories=False)
+        except FileNotFoundError:
+            click.echo(click.style(f"  -> Skipping missing path: {prefix}", fg="yellow"))
+            continue
+        except NotImplementedError:
+            click.echo(click.style("  -> Source storage does not support scanning.", fg="red"))
+            return
+        except Exception as e:
+            click.echo(click.style(f"  -> Error scanning '{prefix}': {str(e)}", fg="red"))
+            continue
+
+        click.echo(click.style(f"Found {len(keys)} files under {prefix}", fg="white"))
+
+        for key in keys:
+            total_files += 1
+
+            # check destination existence
+            if not overwrite:
+                try:
+                    if storage.exists(key):
+                        skipped_files += 1
+                        continue
+                except Exception as e:
+                    # existence check failures should not block migration attempt
+                    # but should be surfaced to user as a warning for visibility
+                    click.echo(
+                        click.style(
+                            f"  -> Warning: failed target existence check for {key}: {str(e)}",
+                            fg="yellow",
+                        )
+                    )
+
+            if dry_run:
+                copied_files += 1
+                continue
+
+            # read from source and write to destination
+            try:
+                data = source_storage.load_once(key)
+            except FileNotFoundError:
+                errored_files += 1
+                click.echo(click.style(f"  -> Missing on source: {key}", fg="yellow"))
+                continue
+            except Exception as e:
+                errored_files += 1
+                click.echo(click.style(f"  -> Error reading {key}: {str(e)}", fg="red"))
+                continue
+
+            try:
+                storage.save(key, data)
+                copied_files += 1
+                if prefix == "upload_files":
+                    copied_upload_file_keys.append(key)
+            except Exception as e:
+                errored_files += 1
+                click.echo(click.style(f"  -> Error writing {key} to target: {str(e)}", fg="red"))
+                continue
+
+    click.echo("")
+    click.echo(click.style("Migration summary:", fg="yellow"))
+    click.echo(click.style(f"  Total:   {total_files}", fg="white"))
+    click.echo(click.style(f"  Copied:  {copied_files}", fg="green"))
+    click.echo(click.style(f"  Skipped: {skipped_files}", fg="white"))
+    if errored_files:
+        click.echo(click.style(f"  Errors:  {errored_files}", fg="red"))
+
+    if dry_run:
+        click.echo(click.style("Dry-run complete. No changes were made.", fg="green"))
+        return
+
+    if errored_files:
+        click.echo(
+            click.style(
+                "Some files failed to migrate. Review errors above before updating DB records.",
+                fg="yellow",
+            )
+        )
+        if update_db and not force:
+            if not click.confirm("Proceed to update DB storage_type despite errors?", default=False):
+                update_db = False
+
+    # Optionally update DB records for upload_files.storage_type (only for successfully copied upload_files)
+    if update_db:
+        if not copied_upload_file_keys:
+            click.echo(click.style("No upload_files copied. Skipping DB storage_type update.", fg="yellow"))
+        else:
+            try:
+                source_storage_type = StorageType.LOCAL if is_source_local else StorageType.OPENDAL
+                updated = (
+                    db.session.query(UploadFile)
+                    .where(
+                        UploadFile.storage_type == source_storage_type,
+                        UploadFile.key.in_(copied_upload_file_keys),
+                    )
+                    .update({UploadFile.storage_type: dify_config.STORAGE_TYPE}, synchronize_session=False)
+                )
+                db.session.commit()
+                click.echo(click.style(f"Updated storage_type for {updated} upload_files records.", fg="green"))
+            except Exception as e:
+                db.session.rollback()
+                click.echo(click.style(f"Failed to update DB storage_type: {str(e)}", fg="red"))

api/configs/__init__.py

@@ -1,3 +1,3 @@
 from .app_config import DifyConfig
 
-dify_config = DifyConfig()
+dify_config = DifyConfig()  # type: ignore

api/configs/extra/notion_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,28 +7,28 @@ class NotionConfig(BaseSettings):
     Configuration settings for Notion integration
     """
 
-    NOTION_CLIENT_ID: Optional[str] = Field(
+    NOTION_CLIENT_ID: str | None = Field(
         description="Client ID for Notion API authentication. Required for OAuth 2.0 flow.",
         default=None,
     )
 
-    NOTION_CLIENT_SECRET: Optional[str] = Field(
+    NOTION_CLIENT_SECRET: str | None = Field(
         description="Client secret for Notion API authentication. Required for OAuth 2.0 flow.",
         default=None,
     )
 
-    NOTION_INTEGRATION_TYPE: Optional[str] = Field(
+    NOTION_INTEGRATION_TYPE: str | None = Field(
         description="Type of Notion integration."
         " Set to 'internal' for internal integrations, or None for public integrations.",
         default=None,
     )
 
-    NOTION_INTERNAL_SECRET: Optional[str] = Field(
+    NOTION_INTERNAL_SECRET: str | None = Field(
         description="Secret key for internal Notion integrations. Required when NOTION_INTEGRATION_TYPE is 'internal'.",
         default=None,
     )
 
-    NOTION_INTEGRATION_TOKEN: Optional[str] = Field(
+    NOTION_INTEGRATION_TOKEN: str | None = Field(
         description="Integration token for Notion API access. Used for direct API calls without OAuth flow.",
         default=None,
     )

api/configs/extra/sentry_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, NonNegativeFloat
 from pydantic_settings import BaseSettings
 
@@ -9,7 +7,7 @@ class SentryConfig(BaseSettings):
     Configuration settings for Sentry error tracking and performance monitoring
     """
 
-    SENTRY_DSN: Optional[str] = Field(
+    SENTRY_DSN: str | None = Field(
         description="Sentry Data Source Name (DSN)."
         " This is the unique identifier of your Sentry project, used to send events to the correct project.",
         default=None,

api/configs/feature/__init__.py

@@ -1,4 +1,5 @@
-from typing import Annotated, Literal, Optional
+from enum import StrEnum
+from typing import Literal
 
 from pydantic import (
     AliasChoices,
@@ -31,6 +32,12 @@ class SecurityConfig(BaseSettings):
         description="Duration in minutes for which a password reset token remains valid",
         default=5,
     )
+
+    EMAIL_REGISTER_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
+        description="Duration in minutes for which a email register token remains valid",
+        default=5,
+    )
+
     CHANGE_EMAIL_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
         description="Duration in minutes for which a change email token remains valid",
         default=5,
@@ -51,7 +58,7 @@ class SecurityConfig(BaseSettings):
         default=False,
     )
 
-    ADMIN_API_KEY: Optional[str] = Field(
+    ADMIN_API_KEY: str | None = Field(
         description="admin api key for authentication",
         default=None,
     )
@@ -91,17 +98,17 @@ class CodeExecutionSandboxConfig(BaseSettings):
         default="dify-sandbox",
     )
 
-    CODE_EXECUTION_CONNECT_TIMEOUT: Optional[float] = Field(
+    CODE_EXECUTION_CONNECT_TIMEOUT: float | None = Field(
         description="Connection timeout in seconds for code execution requests",
         default=10.0,
     )
 
-    CODE_EXECUTION_READ_TIMEOUT: Optional[float] = Field(
+    CODE_EXECUTION_READ_TIMEOUT: float | None = Field(
         description="Read timeout in seconds for code execution requests",
         default=60.0,
     )
 
-    CODE_EXECUTION_WRITE_TIMEOUT: Optional[float] = Field(
+    CODE_EXECUTION_WRITE_TIMEOUT: float | None = Field(
         description="Write timeout in seconds for code execution request",
         default=10.0,
     )
@@ -362,17 +369,17 @@ class HttpConfig(BaseSettings):
         default=3,
     )
 
-    SSRF_PROXY_ALL_URL: Optional[str] = Field(
+    SSRF_PROXY_ALL_URL: str | None = Field(
         description="Proxy URL for HTTP or HTTPS requests to prevent Server-Side Request Forgery (SSRF)",
         default=None,
     )
 
-    SSRF_PROXY_HTTP_URL: Optional[str] = Field(
+    SSRF_PROXY_HTTP_URL: str | None = Field(
         description="Proxy URL for HTTP requests to prevent Server-Side Request Forgery (SSRF)",
         default=None,
     )
 
-    SSRF_PROXY_HTTPS_URL: Optional[str] = Field(
+    SSRF_PROXY_HTTPS_URL: str | None = Field(
         description="Proxy URL for HTTPS requests to prevent Server-Side Request Forgery (SSRF)",
         default=None,
     )
@@ -414,7 +421,7 @@ class InnerAPIConfig(BaseSettings):
         default=False,
     )
 
-    INNER_API_KEY: Optional[str] = Field(
+    INNER_API_KEY: str | None = Field(
         description="API key for accessing the internal API",
         default=None,
     )
@@ -430,7 +437,7 @@ class LoggingConfig(BaseSettings):
         default="INFO",
     )
 
-    LOG_FILE: Optional[str] = Field(
+    LOG_FILE: str | None = Field(
         description="File path for log output.",
         default=None,
     )
@@ -450,12 +457,12 @@ class LoggingConfig(BaseSettings):
         default="%(asctime)s.%(msecs)03d %(levelname)s [%(threadName)s] [%(filename)s:%(lineno)d] - %(message)s",
     )
 
-    LOG_DATEFORMAT: Optional[str] = Field(
+    LOG_DATEFORMAT: str | None = Field(
         description="Date format string for log timestamps",
         default=None,
     )
 
-    LOG_TZ: Optional[str] = Field(
+    LOG_TZ: str | None = Field(
         description="Timezone for log timestamps (e.g., 'America/New_York')",
         default="UTC",
     )
@@ -499,6 +506,22 @@ class UpdateConfig(BaseSettings):
     )
 
 
+class WorkflowVariableTruncationConfig(BaseSettings):
+    WORKFLOW_VARIABLE_TRUNCATION_MAX_SIZE: PositiveInt = Field(
+        # 100KB
+        1024_000,
+        description="Maximum size for variable to trigger final truncation.",
+    )
+    WORKFLOW_VARIABLE_TRUNCATION_STRING_LENGTH: PositiveInt = Field(
+        100000,
+        description="maximum length for string to trigger tuncation, measure in number of characters",
+    )
+    WORKFLOW_VARIABLE_TRUNCATION_ARRAY_LENGTH: PositiveInt = Field(
+        1000,
+        description="maximum length for array to trigger truncation.",
+    )
+
+
 class WorkflowConfig(BaseSettings):
     """
     Configuration for workflow execution
@@ -529,6 +552,28 @@ class WorkflowConfig(BaseSettings):
         default=200 * 1024,
     )
 
+    # GraphEngine Worker Pool Configuration
+    GRAPH_ENGINE_MIN_WORKERS: PositiveInt = Field(
+        description="Minimum number of workers per GraphEngine instance",
+        default=1,
+    )
+
+    GRAPH_ENGINE_MAX_WORKERS: PositiveInt = Field(
+        description="Maximum number of workers per GraphEngine instance",
+        default=10,
+    )
+
+    GRAPH_ENGINE_SCALE_UP_THRESHOLD: PositiveInt = Field(
+        description="Queue depth threshold that triggers worker scale up",
+        default=3,
+    )
+
+    GRAPH_ENGINE_SCALE_DOWN_IDLE_TIME: float = Field(
+        description="Seconds of idle time before scaling down workers",
+        default=5.0,
+        ge=0.1,
+    )
+
 
 class WorkflowNodeExecutionConfig(BaseSettings):
     """
@@ -552,12 +597,18 @@ class RepositoryConfig(BaseSettings):
     """
 
     CORE_WORKFLOW_EXECUTION_REPOSITORY: str = Field(
-        description="Repository implementation for WorkflowExecution. Specify as a module path",
+        description="Repository implementation for WorkflowExecution. Options: "
+        "'core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository' (default), "
+        "'core.repositories.celery_workflow_execution_repository.CeleryWorkflowExecutionRepository'",
         default="core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository",
     )
 
     CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY: str = Field(
-        description="Repository implementation for WorkflowNodeExecution. Specify as a module path",
+        description="Repository implementation for WorkflowNodeExecution. Options: "
+        "'core.repositories.sqlalchemy_workflow_node_execution_repository."
+        "SQLAlchemyWorkflowNodeExecutionRepository' (default), "
+        "'core.repositories.celery_workflow_node_execution_repository."
+        "CeleryWorkflowNodeExecutionRepository'",
         default="core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository",
     )
 
@@ -583,22 +634,22 @@ class AuthConfig(BaseSettings):
         default="/console/api/oauth/authorize",
     )
 
-    GITHUB_CLIENT_ID: Optional[str] = Field(
+    GITHUB_CLIENT_ID: str | None = Field(
         description="GitHub OAuth client ID",
         default=None,
     )
 
-    GITHUB_CLIENT_SECRET: Optional[str] = Field(
+    GITHUB_CLIENT_SECRET: str | None = Field(
         description="GitHub OAuth client secret",
         default=None,
     )
 
-    GOOGLE_CLIENT_ID: Optional[str] = Field(
+    GOOGLE_CLIENT_ID: str | None = Field(
         description="Google OAuth client ID",
         default=None,
     )
 
-    GOOGLE_CLIENT_SECRET: Optional[str] = Field(
+    GOOGLE_CLIENT_SECRET: str | None = Field(
         description="Google OAuth client secret",
         default=None,
     )
@@ -633,6 +684,11 @@ class AuthConfig(BaseSettings):
         default=86400,
     )
 
+    EMAIL_REGISTER_LOCKOUT_DURATION: PositiveInt = Field(
+        description="Time (in seconds) a user must wait before retrying email register after exceeding the rate limit.",
+        default=86400,
+    )
+
 
 class ModerationConfig(BaseSettings):
     """
@@ -656,47 +712,71 @@ class ToolConfig(BaseSettings):
     )
 
 
+class TemplateMode(StrEnum):
+    # unsafe mode allows flexible operations in templates, but may cause security vulnerabilities
+    UNSAFE = "unsafe"
+
+    # sandbox mode restricts some unsafe operations like accessing __class__.
+    # however, it is still not 100% safe, for example, cpu exploitation can happen.
+    SANDBOX = "sandbox"
+
+    # templating is disabled
+    DISABLED = "disabled"
+
+
 class MailConfig(BaseSettings):
     """
     Configuration for email services
     """
 
-    MAIL_TYPE: Optional[str] = Field(
+    MAIL_TEMPLATING_MODE: TemplateMode = Field(
+        description="Template mode for email services",
+        default=TemplateMode.SANDBOX,
+    )
+
+    MAIL_TEMPLATING_TIMEOUT: int = Field(
+        description="""
+        Timeout for email templating in seconds. Used to prevent infinite loops in malicious templates. 
+        Only available in sandbox mode.""",
+        default=3,
+    )
+
+    MAIL_TYPE: str | None = Field(
         description="Email service provider type ('smtp' or 'resend' or 'sendGrid), default to None.",
         default=None,
     )
 
-    MAIL_DEFAULT_SEND_FROM: Optional[str] = Field(
+    MAIL_DEFAULT_SEND_FROM: str | None = Field(
         description="Default email address to use as the sender",
         default=None,
     )
 
-    RESEND_API_KEY: Optional[str] = Field(
+    RESEND_API_KEY: str | None = Field(
         description="API key for Resend email service",
         default=None,
     )
 
-    RESEND_API_URL: Optional[str] = Field(
+    RESEND_API_URL: str | None = Field(
         description="API URL for Resend email service",
         default=None,
     )
 
-    SMTP_SERVER: Optional[str] = Field(
+    SMTP_SERVER: str | None = Field(
         description="SMTP server hostname",
         default=None,
     )
 
-    SMTP_PORT: Optional[int] = Field(
+    SMTP_PORT: int | None = Field(
         description="SMTP server port number",
         default=465,
     )
 
-    SMTP_USERNAME: Optional[str] = Field(
+    SMTP_USERNAME: str | None = Field(
         description="Username for SMTP authentication",
         default=None,
     )
 
-    SMTP_PASSWORD: Optional[str] = Field(
+    SMTP_PASSWORD: str | None = Field(
         description="Password for SMTP authentication",
         default=None,
     )
@@ -716,7 +796,7 @@ class MailConfig(BaseSettings):
         default=50,
     )
 
-    SENDGRID_API_KEY: Optional[str] = Field(
+    SENDGRID_API_KEY: str | None = Field(
         description="API key for SendGrid service",
         default=None,
     )
@@ -739,17 +819,17 @@ class RagEtlConfig(BaseSettings):
         default="database",
     )
 
-    UNSTRUCTURED_API_URL: Optional[str] = Field(
+    UNSTRUCTURED_API_URL: str | None = Field(
         description="API URL for Unstructured.io service",
         default=None,
     )
 
-    UNSTRUCTURED_API_KEY: Optional[str] = Field(
+    UNSTRUCTURED_API_KEY: str | None = Field(
         description="API key for Unstructured.io service",
         default="",
     )
 
-    SCARF_NO_ANALYTICS: Optional[str] = Field(
+    SCARF_NO_ANALYTICS: str | None = Field(
         description="This is about whether to disable Scarf analytics in Unstructured library.",
         default="false",
     )
@@ -790,6 +870,11 @@ class DataSetConfig(BaseSettings):
         default=30,
     )
 
+    DSL_EXPORT_ENCRYPT_DATASET_ID: bool = Field(
+        description="Enable or disable dataset ID encryption when exporting DSL files",
+        default=True,
+    )
+
 
 class WorkspaceConfig(BaseSettings):
     """
@@ -962,6 +1047,26 @@ class AccountConfig(BaseSettings):
     )
 
 
+class WorkflowLogConfig(BaseSettings):
+    WORKFLOW_LOG_CLEANUP_ENABLED: bool = Field(default=True, description="Enable workflow run log cleanup")
+    WORKFLOW_LOG_RETENTION_DAYS: int = Field(default=30, description="Retention days for workflow run logs")
+    WORKFLOW_LOG_CLEANUP_BATCH_SIZE: int = Field(
+        default=100, description="Batch size for workflow run log cleanup operations"
+    )
+
+
+class SwaggerUIConfig(BaseSettings):
+    SWAGGER_UI_ENABLED: bool = Field(
+        description="Whether to enable Swagger UI in api module",
+        default=True,
+    )
+
+    SWAGGER_UI_PATH: str = Field(
+        description="Swagger UI page path in api module",
+        default="/swagger-ui.html",
+    )
+
+
 class FeatureConfig(
     # place the configs in alphabet order
     AppExecutionConfig,
@@ -993,9 +1098,12 @@ class FeatureConfig(
     WorkspaceConfig,
     LoginConfig,
     AccountConfig,
+    SwaggerUIConfig,
     # hosted services config
     HostedServiceConfig,
     CeleryBeatConfig,
     CeleryScheduleTasksConfig,
+    WorkflowLogConfig,
+    WorkflowVariableTruncationConfig,
 ):
     pass

api/configs/feature/hosted_service/__init__.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, NonNegativeInt
 from pydantic_settings import BaseSettings
 
@@ -40,17 +38,17 @@ class HostedOpenAiConfig(BaseSettings):
     Configuration for hosted OpenAI service
     """
 
-    HOSTED_OPENAI_API_KEY: Optional[str] = Field(
+    HOSTED_OPENAI_API_KEY: str | None = Field(
         description="API key for hosted OpenAI service",
         default=None,
     )
 
-    HOSTED_OPENAI_API_BASE: Optional[str] = Field(
+    HOSTED_OPENAI_API_BASE: str | None = Field(
         description="Base URL for hosted OpenAI API",
         default=None,
     )
 
-    HOSTED_OPENAI_API_ORGANIZATION: Optional[str] = Field(
+    HOSTED_OPENAI_API_ORGANIZATION: str | None = Field(
         description="Organization ID for hosted OpenAI service",
         default=None,
     )
@@ -110,12 +108,12 @@ class HostedAzureOpenAiConfig(BaseSettings):
         default=False,
     )
 
-    HOSTED_AZURE_OPENAI_API_KEY: Optional[str] = Field(
+    HOSTED_AZURE_OPENAI_API_KEY: str | None = Field(
         description="API key for hosted Azure OpenAI service",
         default=None,
     )
 
-    HOSTED_AZURE_OPENAI_API_BASE: Optional[str] = Field(
+    HOSTED_AZURE_OPENAI_API_BASE: str | None = Field(
         description="Base URL for hosted Azure OpenAI API",
         default=None,
     )
@@ -131,12 +129,12 @@ class HostedAnthropicConfig(BaseSettings):
     Configuration for hosted Anthropic service
     """
 
-    HOSTED_ANTHROPIC_API_BASE: Optional[str] = Field(
+    HOSTED_ANTHROPIC_API_BASE: str | None = Field(
         description="Base URL for hosted Anthropic API",
         default=None,
     )
 
-    HOSTED_ANTHROPIC_API_KEY: Optional[str] = Field(
+    HOSTED_ANTHROPIC_API_KEY: str | None = Field(
         description="API key for hosted Anthropic service",
         default=None,
     )
@@ -222,11 +220,28 @@ class HostedFetchAppTemplateConfig(BaseSettings):
     )
 
 
+class HostedFetchPipelineTemplateConfig(BaseSettings):
+    """
+    Configuration for fetching pipeline templates
+    """
+
+    HOSTED_FETCH_PIPELINE_TEMPLATES_MODE: str = Field(
+        description="Mode for fetching pipeline templates: remote, db, or builtin default to remote,",
+        default="remote",
+    )
+
+    HOSTED_FETCH_PIPELINE_TEMPLATES_REMOTE_DOMAIN: str = Field(
+        description="Domain for fetching remote pipeline templates",
+        default="https://tmpl.dify.ai",
+    )
+
+
 class HostedServiceConfig(
     # place the configs in alphabet order
     HostedAnthropicConfig,
     HostedAzureOpenAiConfig,
     HostedFetchAppTemplateConfig,
+    HostedFetchPipelineTemplateConfig,
     HostedMinmaxConfig,
     HostedOpenAiConfig,
     HostedSparkConfig,

api/configs/middleware/__init__.py

@@ -1,5 +1,5 @@
 import os
-from typing import Any, Literal, Optional
+from typing import Any, Literal
 from urllib.parse import parse_qsl, quote_plus
 
 from pydantic import Field, NonNegativeFloat, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
@@ -78,18 +78,18 @@ class StorageConfig(BaseSettings):
 
 
 class VectorStoreConfig(BaseSettings):
-    VECTOR_STORE: Optional[str] = Field(
+    VECTOR_STORE: str | None = Field(
         description="Type of vector store to use for efficient similarity search."
         " Set to None if not using a vector store.",
         default=None,
     )
 
-    VECTOR_STORE_WHITELIST_ENABLE: Optional[bool] = Field(
+    VECTOR_STORE_WHITELIST_ENABLE: bool | None = Field(
         description="Enable whitelist for vector store.",
         default=False,
     )
 
-    VECTOR_INDEX_NAME_PREFIX: Optional[str] = Field(
+    VECTOR_INDEX_NAME_PREFIX: str | None = Field(
         description="Prefix used to create collection name in vector database",
         default="Vector_index",
     )
@@ -187,6 +187,11 @@ class DatabaseConfig(BaseSettings):
         default=False,
     )
 
+    SQLALCHEMY_POOL_TIMEOUT: NonNegativeInt = Field(
+        description="Number of seconds to wait for a connection from the pool before raising a timeout error.",
+        default=30,
+    )
+
     RETRIEVAL_SERVICE_EXECUTORS: NonNegativeInt = Field(
         description="Number of processes for the retrieval service, default to CPU cores.",
         default=os.cpu_count() or 1,
@@ -215,6 +220,8 @@ class DatabaseConfig(BaseSettings):
             "pool_pre_ping": self.SQLALCHEMY_POOL_PRE_PING,
             "connect_args": connect_args,
             "pool_use_lifo": self.SQLALCHEMY_POOL_USE_LIFO,
+            "pool_reset_on_return": None,
+            "pool_timeout": self.SQLALCHEMY_POOL_TIMEOUT,
         }
 
 
@@ -224,26 +231,26 @@ class CeleryConfig(DatabaseConfig):
         default="redis",
     )
 
-    CELERY_BROKER_URL: Optional[str] = Field(
+    CELERY_BROKER_URL: str | None = Field(
         description="URL of the message broker for Celery tasks.",
         default=None,
     )
 
-    CELERY_USE_SENTINEL: Optional[bool] = Field(
+    CELERY_USE_SENTINEL: bool | None = Field(
         description="Whether to use Redis Sentinel for high availability.",
         default=False,
     )
 
-    CELERY_SENTINEL_MASTER_NAME: Optional[str] = Field(
+    CELERY_SENTINEL_MASTER_NAME: str | None = Field(
         description="Name of the Redis Sentinel master.",
         default=None,
     )
 
-    CELERY_SENTINEL_PASSWORD: Optional[str] = Field(
+    CELERY_SENTINEL_PASSWORD: str | None = Field(
         description="Password of the Redis Sentinel master.",
         default=None,
     )
-    CELERY_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
+    CELERY_SENTINEL_SOCKET_TIMEOUT: PositiveFloat | None = Field(
         description="Timeout for Redis Sentinel socket operations in seconds.",
         default=0.1,
     )
@@ -267,12 +274,12 @@ class InternalTestConfig(BaseSettings):
     Configuration settings for Internal Test
     """
 
-    AWS_SECRET_ACCESS_KEY: Optional[str] = Field(
+    AWS_SECRET_ACCESS_KEY: str | None = Field(
         description="Internal test AWS secret access key",
         default=None,
     )
 
-    AWS_ACCESS_KEY_ID: Optional[str] = Field(
+    AWS_ACCESS_KEY_ID: str | None = Field(
         description="Internal test AWS access key ID",
         default=None,
     )
@@ -283,15 +290,15 @@ class DatasetQueueMonitorConfig(BaseSettings):
     Configuration settings for Dataset Queue Monitor
     """
 
-    QUEUE_MONITOR_THRESHOLD: Optional[NonNegativeInt] = Field(
+    QUEUE_MONITOR_THRESHOLD: NonNegativeInt | None = Field(
         description="Threshold for dataset queue monitor",
         default=200,
     )
-    QUEUE_MONITOR_ALERT_EMAILS: Optional[str] = Field(
+    QUEUE_MONITOR_ALERT_EMAILS: str | None = Field(
         description="Emails for dataset queue monitor alert, separated by commas",
         default=None,
     )
-    QUEUE_MONITOR_INTERVAL: Optional[NonNegativeFloat] = Field(
+    QUEUE_MONITOR_INTERVAL: NonNegativeFloat | None = Field(
         description="Interval for dataset queue monitor in minutes",
         default=30,
     )
@@ -299,8 +306,7 @@ class DatasetQueueMonitorConfig(BaseSettings):
 
 class MiddlewareConfig(
     # place the configs in alphabet order
-    CeleryConfig,
-    DatabaseConfig,
+    CeleryConfig,  # Note: CeleryConfig already inherits from DatabaseConfig
     KeywordStoreConfig,
     RedisConfig,
     # configs of storage and storage providers

api/configs/middleware/cache/redis_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -19,12 +17,12 @@ class RedisConfig(BaseSettings):
         default=6379,
     )
 
-    REDIS_USERNAME: Optional[str] = Field(
+    REDIS_USERNAME: str | None = Field(
         description="Username for Redis authentication (if required)",
         default=None,
     )
 
-    REDIS_PASSWORD: Optional[str] = Field(
+    REDIS_PASSWORD: str | None = Field(
         description="Password for Redis authentication (if required)",
         default=None,
     )
@@ -39,32 +37,52 @@ class RedisConfig(BaseSettings):
         default=False,
     )
 
-    REDIS_USE_SENTINEL: Optional[bool] = Field(
+    REDIS_SSL_CERT_REQS: str = Field(
+        description="SSL certificate requirements (CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED)",
+        default="CERT_NONE",
+    )
+
+    REDIS_SSL_CA_CERTS: str | None = Field(
+        description="Path to the CA certificate file for SSL verification",
+        default=None,
+    )
+
+    REDIS_SSL_CERTFILE: str | None = Field(
+        description="Path to the client certificate file for SSL authentication",
+        default=None,
+    )
+
+    REDIS_SSL_KEYFILE: str | None = Field(
+        description="Path to the client private key file for SSL authentication",
+        default=None,
+    )
+
+    REDIS_USE_SENTINEL: bool | None = Field(
         description="Enable Redis Sentinel mode for high availability",
         default=False,
     )
 
-    REDIS_SENTINELS: Optional[str] = Field(
+    REDIS_SENTINELS: str | None = Field(
         description="Comma-separated list of Redis Sentinel nodes (host:port)",
         default=None,
     )
 
-    REDIS_SENTINEL_SERVICE_NAME: Optional[str] = Field(
+    REDIS_SENTINEL_SERVICE_NAME: str | None = Field(
         description="Name of the Redis Sentinel service to monitor",
         default=None,
     )
 
-    REDIS_SENTINEL_USERNAME: Optional[str] = Field(
+    REDIS_SENTINEL_USERNAME: str | None = Field(
         description="Username for Redis Sentinel authentication (if required)",
         default=None,
     )
 
-    REDIS_SENTINEL_PASSWORD: Optional[str] = Field(
+    REDIS_SENTINEL_PASSWORD: str | None = Field(
         description="Password for Redis Sentinel authentication (if required)",
         default=None,
     )
 
-    REDIS_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
+    REDIS_SENTINEL_SOCKET_TIMEOUT: PositiveFloat | None = Field(
         description="Socket timeout in seconds for Redis Sentinel connections",
         default=0.1,
     )
@@ -74,12 +92,12 @@ class RedisConfig(BaseSettings):
         default=False,
     )
 
-    REDIS_CLUSTERS: Optional[str] = Field(
+    REDIS_CLUSTERS: str | None = Field(
         description="Comma-separated list of Redis Clusters nodes (host:port)",
         default=None,
     )
 
-    REDIS_CLUSTERS_PASSWORD: Optional[str] = Field(
+    REDIS_CLUSTERS_PASSWORD: str | None = Field(
         description="Password for Redis Clusters authentication (if required)",
         default=None,
     )

api/configs/middleware/storage/aliyun_oss_storage_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,37 +7,37 @@ class AliyunOSSStorageConfig(BaseSettings):
     Configuration settings for Aliyun Object Storage Service (OSS)
     """
 
-    ALIYUN_OSS_BUCKET_NAME: Optional[str] = Field(
+    ALIYUN_OSS_BUCKET_NAME: str | None = Field(
         description="Name of the Aliyun OSS bucket to store and retrieve objects",
         default=None,
     )
 
-    ALIYUN_OSS_ACCESS_KEY: Optional[str] = Field(
+    ALIYUN_OSS_ACCESS_KEY: str | None = Field(
         description="Access key ID for authenticating with Aliyun OSS",
         default=None,
     )
 
-    ALIYUN_OSS_SECRET_KEY: Optional[str] = Field(
+    ALIYUN_OSS_SECRET_KEY: str | None = Field(
         description="Secret access key for authenticating with Aliyun OSS",
         default=None,
     )
 
-    ALIYUN_OSS_ENDPOINT: Optional[str] = Field(
+    ALIYUN_OSS_ENDPOINT: str | None = Field(
         description="URL of the Aliyun OSS endpoint for your chosen region",
         default=None,
     )
 
-    ALIYUN_OSS_REGION: Optional[str] = Field(
+    ALIYUN_OSS_REGION: str | None = Field(
         description="Aliyun OSS region where your bucket is located (e.g., 'oss-cn-hangzhou')",
         default=None,
     )
 
-    ALIYUN_OSS_AUTH_VERSION: Optional[str] = Field(
+    ALIYUN_OSS_AUTH_VERSION: str | None = Field(
         description="Version of the authentication protocol to use with Aliyun OSS (e.g., 'v4')",
         default=None,
     )
 
-    ALIYUN_OSS_PATH: Optional[str] = Field(
+    ALIYUN_OSS_PATH: str | None = Field(
         description="Base path within the bucket to store objects (e.g., 'my-app-data/')",
         default=None,
     )

api/configs/middleware/storage/amazon_s3_storage_config.py

@@ -1,4 +1,4 @@
-from typing import Literal, Optional
+from typing import Literal
 
 from pydantic import Field
 from pydantic_settings import BaseSettings
@@ -9,27 +9,27 @@ class S3StorageConfig(BaseSettings):
     Configuration settings for S3-compatible object storage
     """
 
-    S3_ENDPOINT: Optional[str] = Field(
+    S3_ENDPOINT: str | None = Field(
         description="URL of the S3-compatible storage endpoint (e.g., 'https://s3.amazonaws.com')",
         default=None,
     )
 
-    S3_REGION: Optional[str] = Field(
+    S3_REGION: str | None = Field(
         description="Region where the S3 bucket is located (e.g., 'us-east-1')",
         default=None,
     )
 
-    S3_BUCKET_NAME: Optional[str] = Field(
+    S3_BUCKET_NAME: str | None = Field(
         description="Name of the S3 bucket to store and retrieve objects",
         default=None,
     )
 
-    S3_ACCESS_KEY: Optional[str] = Field(
+    S3_ACCESS_KEY: str | None = Field(
         description="Access key ID for authenticating with the S3 service",
         default=None,
     )
 
-    S3_SECRET_KEY: Optional[str] = Field(
+    S3_SECRET_KEY: str | None = Field(
         description="Secret access key for authenticating with the S3 service",
         default=None,
     )

api/configs/middleware/storage/azure_blob_storage_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,22 +7,22 @@ class AzureBlobStorageConfig(BaseSettings):
     Configuration settings for Azure Blob Storage
     """
 
-    AZURE_BLOB_ACCOUNT_NAME: Optional[str] = Field(
+    AZURE_BLOB_ACCOUNT_NAME: str | None = Field(
         description="Name of the Azure Storage account (e.g., 'mystorageaccount')",
         default=None,
     )
 
-    AZURE_BLOB_ACCOUNT_KEY: Optional[str] = Field(
+    AZURE_BLOB_ACCOUNT_KEY: str | None = Field(
         description="Access key for authenticating with the Azure Storage account",
         default=None,
     )
 
-    AZURE_BLOB_CONTAINER_NAME: Optional[str] = Field(
+    AZURE_BLOB_CONTAINER_NAME: str | None = Field(
         description="Name of the Azure Blob container to store and retrieve objects",
         default=None,
     )
 
-    AZURE_BLOB_ACCOUNT_URL: Optional[str] = Field(
+    AZURE_BLOB_ACCOUNT_URL: str | None = Field(
         description="URL of the Azure Blob storage endpoint (e.g., 'https://mystorageaccount.blob.core.windows.net')",
         default=None,
     )

api/configs/middleware/storage/baidu_obs_storage_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,22 +7,22 @@ class BaiduOBSStorageConfig(BaseSettings):
     Configuration settings for Baidu Object Storage Service (OBS)
     """
 
-    BAIDU_OBS_BUCKET_NAME: Optional[str] = Field(
+    BAIDU_OBS_BUCKET_NAME: str | None = Field(
         description="Name of the Baidu OBS bucket to store and retrieve objects (e.g., 'my-obs-bucket')",
         default=None,
     )
 
-    BAIDU_OBS_ACCESS_KEY: Optional[str] = Field(
+    BAIDU_OBS_ACCESS_KEY: str | None = Field(
         description="Access Key ID for authenticating with Baidu OBS",
         default=None,
     )
 
-    BAIDU_OBS_SECRET_KEY: Optional[str] = Field(
+    BAIDU_OBS_SECRET_KEY: str | None = Field(
         description="Secret Access Key for authenticating with Baidu OBS",
         default=None,
     )
 
-    BAIDU_OBS_ENDPOINT: Optional[str] = Field(
+    BAIDU_OBS_ENDPOINT: str | None = Field(
         description="URL of the Baidu OSS endpoint for your chosen region (e.g., 'https://.bj.bcebos.com')",
         default=None,
     )

api/configs/middleware/storage/clickzetta_volume_storage_config.py

@@ -1,7 +1,5 @@
 """ClickZetta Volume Storage Configuration"""
 
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,17 +7,17 @@ from pydantic_settings import BaseSettings
 class ClickZettaVolumeStorageConfig(BaseSettings):
     """Configuration for ClickZetta Volume storage."""
 
-    CLICKZETTA_VOLUME_USERNAME: Optional[str] = Field(
+    CLICKZETTA_VOLUME_USERNAME: str | None = Field(
         description="Username for ClickZetta Volume authentication",
         default=None,
     )
 
-    CLICKZETTA_VOLUME_PASSWORD: Optional[str] = Field(
+    CLICKZETTA_VOLUME_PASSWORD: str | None = Field(
         description="Password for ClickZetta Volume authentication",
         default=None,
     )
 
-    CLICKZETTA_VOLUME_INSTANCE: Optional[str] = Field(
+    CLICKZETTA_VOLUME_INSTANCE: str | None = Field(
         description="ClickZetta instance identifier",
         default=None,
     )
@@ -49,7 +47,7 @@ class ClickZettaVolumeStorageConfig(BaseSettings):
         default="user",
     )
 
-    CLICKZETTA_VOLUME_NAME: Optional[str] = Field(
+    CLICKZETTA_VOLUME_NAME: str | None = Field(
         description="ClickZetta volume name for external volumes",
         default=None,
     )

api/configs/middleware/storage/google_cloud_storage_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,12 +7,12 @@ class GoogleCloudStorageConfig(BaseSettings):
     Configuration settings for Google Cloud Storage
     """
 
-    GOOGLE_STORAGE_BUCKET_NAME: Optional[str] = Field(
+    GOOGLE_STORAGE_BUCKET_NAME: str | None = Field(
         description="Name of the Google Cloud Storage bucket to store and retrieve objects (e.g., 'my-gcs-bucket')",
         default=None,
     )
 
-    GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: Optional[str] = Field(
+    GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: str | None = Field(
         description="Base64-encoded JSON key file for Google Cloud service account authentication",
         default=None,
     )

api/configs/middleware/storage/huawei_obs_storage_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,22 +7,22 @@ class HuaweiCloudOBSStorageConfig(BaseSettings):
     Configuration settings for Huawei Cloud Object Storage Service (OBS)
     """
 
-    HUAWEI_OBS_BUCKET_NAME: Optional[str] = Field(
+    HUAWEI_OBS_BUCKET_NAME: str | None = Field(
         description="Name of the Huawei Cloud OBS bucket to store and retrieve objects (e.g., 'my-obs-bucket')",
         default=None,
     )
 
-    HUAWEI_OBS_ACCESS_KEY: Optional[str] = Field(
+    HUAWEI_OBS_ACCESS_KEY: str | None = Field(
         description="Access Key ID for authenticating with Huawei Cloud OBS",
         default=None,
     )
 
-    HUAWEI_OBS_SECRET_KEY: Optional[str] = Field(
+    HUAWEI_OBS_SECRET_KEY: str | None = Field(
         description="Secret Access Key for authenticating with Huawei Cloud OBS",
         default=None,
     )
 
-    HUAWEI_OBS_SERVER: Optional[str] = Field(
+    HUAWEI_OBS_SERVER: str | None = Field(
         description="Endpoint URL for Huawei Cloud OBS (e.g., 'https://obs.cn-north-4.myhuaweicloud.com')",
         default=None,
     )

api/configs/middleware/storage/oci_storage_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,27 +7,27 @@ class OCIStorageConfig(BaseSettings):
     Configuration settings for Oracle Cloud Infrastructure (OCI) Object Storage
     """
 
-    OCI_ENDPOINT: Optional[str] = Field(
+    OCI_ENDPOINT: str | None = Field(
         description="URL of the OCI Object Storage endpoint (e.g., 'https://objectstorage.us-phoenix-1.oraclecloud.com')",
         default=None,
     )
 
-    OCI_REGION: Optional[str] = Field(
+    OCI_REGION: str | None = Field(
         description="OCI region where the bucket is located (e.g., 'us-phoenix-1')",
         default=None,
     )
 
-    OCI_BUCKET_NAME: Optional[str] = Field(
+    OCI_BUCKET_NAME: str | None = Field(
         description="Name of the OCI Object Storage bucket to store and retrieve objects (e.g., 'my-oci-bucket')",
         default=None,
     )
 
-    OCI_ACCESS_KEY: Optional[str] = Field(
+    OCI_ACCESS_KEY: str | None = Field(
         description="Access key (also known as API key) for authenticating with OCI Object Storage",
         default=None,
     )
 
-    OCI_SECRET_KEY: Optional[str] = Field(
+    OCI_SECRET_KEY: str | None = Field(
         description="Secret key associated with the access key for authenticating with OCI Object Storage",
         default=None,
     )

api/configs/middleware/storage/supabase_storage_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,17 +7,17 @@ class SupabaseStorageConfig(BaseSettings):
     Configuration settings for Supabase Object Storage Service
     """
 
-    SUPABASE_BUCKET_NAME: Optional[str] = Field(
+    SUPABASE_BUCKET_NAME: str | None = Field(
         description="Name of the Supabase bucket to store and retrieve objects (e.g., 'dify-bucket')",
         default=None,
     )
 
-    SUPABASE_API_KEY: Optional[str] = Field(
+    SUPABASE_API_KEY: str | None = Field(
         description="API KEY for authenticating with Supabase",
         default=None,
     )
 
-    SUPABASE_URL: Optional[str] = Field(
+    SUPABASE_URL: str | None = Field(
         description="URL of the Supabase",
         default=None,
     )

api/configs/middleware/storage/tencent_cos_storage_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,27 +7,27 @@ class TencentCloudCOSStorageConfig(BaseSettings):
     Configuration settings for Tencent Cloud Object Storage (COS)
     """
 
-    TENCENT_COS_BUCKET_NAME: Optional[str] = Field(
+    TENCENT_COS_BUCKET_NAME: str | None = Field(
         description="Name of the Tencent Cloud COS bucket to store and retrieve objects",
         default=None,
     )
 
-    TENCENT_COS_REGION: Optional[str] = Field(
+    TENCENT_COS_REGION: str | None = Field(
         description="Tencent Cloud region where the COS bucket is located (e.g., 'ap-guangzhou')",
         default=None,
     )
 
-    TENCENT_COS_SECRET_ID: Optional[str] = Field(
+    TENCENT_COS_SECRET_ID: str | None = Field(
         description="SecretId for authenticating with Tencent Cloud COS (part of API credentials)",
         default=None,
     )
 
-    TENCENT_COS_SECRET_KEY: Optional[str] = Field(
+    TENCENT_COS_SECRET_KEY: str | None = Field(
         description="SecretKey for authenticating with Tencent Cloud COS (part of API credentials)",
         default=None,
     )
 
-    TENCENT_COS_SCHEME: Optional[str] = Field(
+    TENCENT_COS_SCHEME: str | None = Field(
         description="Protocol scheme for COS requests: 'https' (recommended) or 'http'",
         default=None,
     )

api/configs/middleware/storage/volcengine_tos_storage_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,27 +7,27 @@ class VolcengineTOSStorageConfig(BaseSettings):
     Configuration settings for Volcengine Tinder Object Storage (TOS)
     """
 
-    VOLCENGINE_TOS_BUCKET_NAME: Optional[str] = Field(
+    VOLCENGINE_TOS_BUCKET_NAME: str | None = Field(
         description="Name of the Volcengine TOS bucket to store and retrieve objects (e.g., 'my-tos-bucket')",
         default=None,
     )
 
-    VOLCENGINE_TOS_ACCESS_KEY: Optional[str] = Field(
+    VOLCENGINE_TOS_ACCESS_KEY: str | None = Field(
         description="Access Key ID for authenticating with Volcengine TOS",
         default=None,
     )
 
-    VOLCENGINE_TOS_SECRET_KEY: Optional[str] = Field(
+    VOLCENGINE_TOS_SECRET_KEY: str | None = Field(
         description="Secret Access Key for authenticating with Volcengine TOS",
         default=None,
     )
 
-    VOLCENGINE_TOS_ENDPOINT: Optional[str] = Field(
+    VOLCENGINE_TOS_ENDPOINT: str | None = Field(
         description="URL of the Volcengine TOS endpoint (e.g., 'https://tos-cn-beijing.volces.com')",
         default=None,
     )
 
-    VOLCENGINE_TOS_REGION: Optional[str] = Field(
+    VOLCENGINE_TOS_REGION: str | None = Field(
         description="Volcengine region where the TOS bucket is located (e.g., 'cn-beijing')",
         default=None,
     )

api/configs/middleware/vdb/analyticdb_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -11,37 +9,37 @@ class AnalyticdbConfig(BaseSettings):
     https://www.alibabacloud.com/help/en/analyticdb-for-postgresql/getting-started/create-an-instance-instances-with-vector-engine-optimization-enabled
     """
 
-    ANALYTICDB_KEY_ID: Optional[str] = Field(
+    ANALYTICDB_KEY_ID: str | None = Field(
         default=None, description="The Access Key ID provided by Alibaba Cloud for API authentication."
     )
-    ANALYTICDB_KEY_SECRET: Optional[str] = Field(
+    ANALYTICDB_KEY_SECRET: str | None = Field(
         default=None, description="The Secret Access Key corresponding to the Access Key ID for secure API access."
     )
-    ANALYTICDB_REGION_ID: Optional[str] = Field(
+    ANALYTICDB_REGION_ID: str | None = Field(
         default=None,
         description="The region where the AnalyticDB instance is deployed (e.g., 'cn-hangzhou', 'ap-southeast-1').",
     )
-    ANALYTICDB_INSTANCE_ID: Optional[str] = Field(
+    ANALYTICDB_INSTANCE_ID: str | None = Field(
         default=None,
         description="The unique identifier of the AnalyticDB instance you want to connect to.",
     )
-    ANALYTICDB_ACCOUNT: Optional[str] = Field(
+    ANALYTICDB_ACCOUNT: str | None = Field(
         default=None,
         description="The account name used to log in to the AnalyticDB instance"
         " (usually the initial account created with the instance).",
     )
-    ANALYTICDB_PASSWORD: Optional[str] = Field(
+    ANALYTICDB_PASSWORD: str | None = Field(
         default=None, description="The password associated with the AnalyticDB account for database authentication."
     )
-    ANALYTICDB_NAMESPACE: Optional[str] = Field(
+    ANALYTICDB_NAMESPACE: str | None = Field(
         default=None, description="The namespace within AnalyticDB for schema isolation (if using namespace feature)."
     )
-    ANALYTICDB_NAMESPACE_PASSWORD: Optional[str] = Field(
+    ANALYTICDB_NAMESPACE_PASSWORD: str | None = Field(
         default=None,
         description="The password for accessing the specified namespace within the AnalyticDB instance"
         " (if namespace feature is enabled).",
     )
-    ANALYTICDB_HOST: Optional[str] = Field(
+    ANALYTICDB_HOST: str | None = Field(
         default=None, description="The host of the AnalyticDB instance you want to connect to."
     )
     ANALYTICDB_PORT: PositiveInt = Field(

api/configs/middleware/vdb/baidu_vector_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, NonNegativeInt, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -9,7 +7,7 @@ class BaiduVectorDBConfig(BaseSettings):
     Configuration settings for Baidu Vector Database
     """
 
-    BAIDU_VECTOR_DB_ENDPOINT: Optional[str] = Field(
+    BAIDU_VECTOR_DB_ENDPOINT: str | None = Field(
         description="URL of the Baidu Vector Database service (e.g., 'http://vdb.bj.baidubce.com')",
         default=None,
     )
@@ -19,17 +17,17 @@ class BaiduVectorDBConfig(BaseSettings):
         default=30000,
     )
 
-    BAIDU_VECTOR_DB_ACCOUNT: Optional[str] = Field(
+    BAIDU_VECTOR_DB_ACCOUNT: str | None = Field(
         description="Account for authenticating with the Baidu Vector Database",
         default=None,
     )
 
-    BAIDU_VECTOR_DB_API_KEY: Optional[str] = Field(
+    BAIDU_VECTOR_DB_API_KEY: str | None = Field(
         description="API key for authenticating with the Baidu Vector Database service",
         default=None,
     )
 
-    BAIDU_VECTOR_DB_DATABASE: Optional[str] = Field(
+    BAIDU_VECTOR_DB_DATABASE: str | None = Field(
         description="Name of the specific Baidu Vector Database to connect to",
         default=None,
     )
@@ -43,3 +41,13 @@ class BaiduVectorDBConfig(BaseSettings):
         description="Number of replicas for the Baidu Vector Database (default is 3)",
         default=3,
     )
+
+    BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER: str = Field(
+        description="Analyzer type for inverted index in Baidu Vector Database (default is DEFAULT_ANALYZER)",
+        default="DEFAULT_ANALYZER",
+    )
+
+    BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE: str = Field(
+        description="Parser mode for inverted index in Baidu Vector Database (default is COARSE_MODE)",
+        default="COARSE_MODE",
+    )

api/configs/middleware/vdb/chroma_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -9,7 +7,7 @@ class ChromaConfig(BaseSettings):
     Configuration settings for Chroma vector database
     """
 
-    CHROMA_HOST: Optional[str] = Field(
+    CHROMA_HOST: str | None = Field(
         description="Hostname or IP address of the Chroma server (e.g., 'localhost' or '192.168.1.100')",
         default=None,
     )
@@ -19,22 +17,22 @@ class ChromaConfig(BaseSettings):
         default=8000,
     )
 
-    CHROMA_TENANT: Optional[str] = Field(
+    CHROMA_TENANT: str | None = Field(
         description="Tenant identifier for multi-tenancy support in Chroma",
         default=None,
     )
 
-    CHROMA_DATABASE: Optional[str] = Field(
+    CHROMA_DATABASE: str | None = Field(
         description="Name of the Chroma database to connect to",
         default=None,
     )
 
-    CHROMA_AUTH_PROVIDER: Optional[str] = Field(
+    CHROMA_AUTH_PROVIDER: str | None = Field(
         description="Authentication provider for Chroma (e.g., 'basic', 'token', or a custom provider)",
         default=None,
     )
 
-    CHROMA_AUTH_CREDENTIALS: Optional[str] = Field(
+    CHROMA_AUTH_CREDENTIALS: str | None = Field(
         description="Authentication credentials for Chroma (format depends on the auth provider)",
         default=None,
     )

api/configs/middleware/vdb/clickzetta_config.py

@@ -1,69 +1,68 @@
-from typing import Optional
-
-from pydantic import BaseModel, Field
+from pydantic import Field
+from pydantic_settings import BaseSettings
 
 
-class ClickzettaConfig(BaseModel):
+class ClickzettaConfig(BaseSettings):
     """
     Clickzetta Lakehouse vector database configuration
     """
 
-    CLICKZETTA_USERNAME: Optional[str] = Field(
+    CLICKZETTA_USERNAME: str | None = Field(
         description="Username for authenticating with Clickzetta Lakehouse",
         default=None,
     )
 
-    CLICKZETTA_PASSWORD: Optional[str] = Field(
+    CLICKZETTA_PASSWORD: str | None = Field(
         description="Password for authenticating with Clickzetta Lakehouse",
         default=None,
     )
 
-    CLICKZETTA_INSTANCE: Optional[str] = Field(
+    CLICKZETTA_INSTANCE: str | None = Field(
         description="Clickzetta Lakehouse instance ID",
         default=None,
     )
 
-    CLICKZETTA_SERVICE: Optional[str] = Field(
+    CLICKZETTA_SERVICE: str | None = Field(
         description="Clickzetta API service endpoint (e.g., 'api.clickzetta.com')",
         default="api.clickzetta.com",
     )
 
-    CLICKZETTA_WORKSPACE: Optional[str] = Field(
+    CLICKZETTA_WORKSPACE: str | None = Field(
         description="Clickzetta workspace name",
         default="default",
     )
 
-    CLICKZETTA_VCLUSTER: Optional[str] = Field(
+    CLICKZETTA_VCLUSTER: str | None = Field(
         description="Clickzetta virtual cluster name",
         default="default_ap",
     )
 
-    CLICKZETTA_SCHEMA: Optional[str] = Field(
+    CLICKZETTA_SCHEMA: str | None = Field(
         description="Database schema name in Clickzetta",
         default="public",
     )
 
-    CLICKZETTA_BATCH_SIZE: Optional[int] = Field(
+    CLICKZETTA_BATCH_SIZE: int | None = Field(
         description="Batch size for bulk insert operations",
         default=100,
     )
 
-    CLICKZETTA_ENABLE_INVERTED_INDEX: Optional[bool] = Field(
+    CLICKZETTA_ENABLE_INVERTED_INDEX: bool | None = Field(
         description="Enable inverted index for full-text search capabilities",
         default=True,
     )
 
-    CLICKZETTA_ANALYZER_TYPE: Optional[str] = Field(
+    CLICKZETTA_ANALYZER_TYPE: str | None = Field(
         description="Analyzer type for full-text search: keyword, english, chinese, unicode",
         default="chinese",
     )
 
-    CLICKZETTA_ANALYZER_MODE: Optional[str] = Field(
+    CLICKZETTA_ANALYZER_MODE: str | None = Field(
         description="Analyzer mode for tokenization: max_word (fine-grained) or smart (intelligent)",
         default="smart",
     )
 
-    CLICKZETTA_VECTOR_DISTANCE_FUNCTION: Optional[str] = Field(
+    CLICKZETTA_VECTOR_DISTANCE_FUNCTION: str | None = Field(
         description="Distance function for vector similarity: l2_distance or cosine_distance",
         default="cosine_distance",
     )

api/configs/middleware/vdb/couchbase_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,27 +7,27 @@ class CouchbaseConfig(BaseSettings):
     Couchbase configs
     """
 
-    COUCHBASE_CONNECTION_STRING: Optional[str] = Field(
+    COUCHBASE_CONNECTION_STRING: str | None = Field(
         description="COUCHBASE connection string",
         default=None,
     )
 
-    COUCHBASE_USER: Optional[str] = Field(
+    COUCHBASE_USER: str | None = Field(
         description="COUCHBASE user",
         default=None,
     )
 
-    COUCHBASE_PASSWORD: Optional[str] = Field(
+    COUCHBASE_PASSWORD: str | None = Field(
         description="COUCHBASE password",
         default=None,
     )
 
-    COUCHBASE_BUCKET_NAME: Optional[str] = Field(
+    COUCHBASE_BUCKET_NAME: str | None = Field(
         description="COUCHBASE bucket name",
         default=None,
     )
 
-    COUCHBASE_SCOPE_NAME: Optional[str] = Field(
+    COUCHBASE_SCOPE_NAME: str | None = Field(
         description="COUCHBASE scope name",
         default=None,
     )

api/configs/middleware/vdb/elasticsearch_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, PositiveInt, model_validator
 from pydantic_settings import BaseSettings
 
@@ -10,7 +8,7 @@ class ElasticsearchConfig(BaseSettings):
     Can load from environment variables or .env files.
     """
 
-    ELASTICSEARCH_HOST: Optional[str] = Field(
+    ELASTICSEARCH_HOST: str | None = Field(
         description="Hostname or IP address of the Elasticsearch server (e.g., 'localhost' or '192.168.1.100')",
         default="127.0.0.1",
     )
@@ -20,30 +18,28 @@ class ElasticsearchConfig(BaseSettings):
         default=9200,
     )
 
-    ELASTICSEARCH_USERNAME: Optional[str] = Field(
+    ELASTICSEARCH_USERNAME: str | None = Field(
         description="Username for authenticating with Elasticsearch (default is 'elastic')",
         default="elastic",
     )
 
-    ELASTICSEARCH_PASSWORD: Optional[str] = Field(
+    ELASTICSEARCH_PASSWORD: str | None = Field(
         description="Password for authenticating with Elasticsearch (default is 'elastic')",
         default="elastic",
     )
 
     # Elastic Cloud (optional)
-    ELASTICSEARCH_USE_CLOUD: Optional[bool] = Field(
+    ELASTICSEARCH_USE_CLOUD: bool | None = Field(
         description="Set to True to use Elastic Cloud instead of self-hosted Elasticsearch", default=False
     )
-    ELASTICSEARCH_CLOUD_URL: Optional[str] = Field(
+    ELASTICSEARCH_CLOUD_URL: str | None = Field(
         description="Full URL for Elastic Cloud deployment (e.g., 'https://example.es.region.aws.found.io:443')",
         default=None,
     )
-    ELASTICSEARCH_API_KEY: Optional[str] = Field(
-        description="API key for authenticating with Elastic Cloud", default=None
-    )
+    ELASTICSEARCH_API_KEY: str | None = Field(description="API key for authenticating with Elastic Cloud", default=None)
 
     # Common options
-    ELASTICSEARCH_CA_CERTS: Optional[str] = Field(
+    ELASTICSEARCH_CA_CERTS: str | None = Field(
         description="Path to CA certificate file for SSL verification", default=None
     )
     ELASTICSEARCH_VERIFY_CERTS: bool = Field(

api/configs/middleware/vdb/huawei_cloud_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,17 +7,17 @@ class HuaweiCloudConfig(BaseSettings):
     Configuration settings for Huawei cloud search service
     """
 
-    HUAWEI_CLOUD_HOSTS: Optional[str] = Field(
+    HUAWEI_CLOUD_HOSTS: str | None = Field(
         description="Hostname or IP address of the Huawei cloud search service instance",
         default=None,
     )
 
-    HUAWEI_CLOUD_USER: Optional[str] = Field(
+    HUAWEI_CLOUD_USER: str | None = Field(
         description="Username for authenticating with Huawei cloud search service",
         default=None,
     )
 
-    HUAWEI_CLOUD_PASSWORD: Optional[str] = Field(
+    HUAWEI_CLOUD_PASSWORD: str | None = Field(
         description="Password for authenticating with Huawei cloud search service",
         default=None,
     )

api/configs/middleware/vdb/lindorm_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,27 +7,27 @@ class LindormConfig(BaseSettings):
     Lindorm configs
     """
 
-    LINDORM_URL: Optional[str] = Field(
+    LINDORM_URL: str | None = Field(
         description="Lindorm url",
         default=None,
     )
-    LINDORM_USERNAME: Optional[str] = Field(
+    LINDORM_USERNAME: str | None = Field(
         description="Lindorm user",
         default=None,
     )
-    LINDORM_PASSWORD: Optional[str] = Field(
+    LINDORM_PASSWORD: str | None = Field(
         description="Lindorm password",
         default=None,
     )
-    DEFAULT_INDEX_TYPE: Optional[str] = Field(
+    LINDORM_INDEX_TYPE: str | None = Field(
         description="Lindorm Vector Index Type, hnsw or flat is available in dify",
         default="hnsw",
     )
-    DEFAULT_DISTANCE_TYPE: Optional[str] = Field(
+    LINDORM_DISTANCE_TYPE: str | None = Field(
         description="Vector Distance Type, support l2, cosinesimil, innerproduct", default="l2"
     )
-    USING_UGC_INDEX: Optional[bool] = Field(
-        description="Using UGC index will store the same type of Index in a single index but can retrieve separately.",
-        default=False,
+    LINDORM_USING_UGC: bool | None = Field(
+        description="Using UGC index will store indexes with the same IndexType/Dimension in a single big index.",
+        default=True,
     )
-    LINDORM_QUERY_TIMEOUT: Optional[float] = Field(description="The lindorm search request timeout (s)", default=2.0)
+    LINDORM_QUERY_TIMEOUT: float | None = Field(description="The lindorm search request timeout (s)", default=2.0)

api/configs/middleware/vdb/matrixone_config.py

@@ -1,7 +1,8 @@
-from pydantic import BaseModel, Field
+from pydantic import Field
+from pydantic_settings import BaseSettings
 
 
-class MatrixoneConfig(BaseModel):
+class MatrixoneConfig(BaseSettings):
     """Matrixone vector database configuration."""
 
     MATRIXONE_HOST: str = Field(default="localhost", description="Host address of the Matrixone server")

api/configs/middleware/vdb/milvus_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,22 +7,22 @@ class MilvusConfig(BaseSettings):
     Configuration settings for Milvus vector database
     """
 
-    MILVUS_URI: Optional[str] = Field(
+    MILVUS_URI: str | None = Field(
         description="URI for connecting to the Milvus server (e.g., 'http://localhost:19530' or 'https://milvus-instance.example.com:19530')",
         default="http://127.0.0.1:19530",
     )
 
-    MILVUS_TOKEN: Optional[str] = Field(
+    MILVUS_TOKEN: str | None = Field(
         description="Authentication token for Milvus, if token-based authentication is enabled",
         default=None,
     )
 
-    MILVUS_USER: Optional[str] = Field(
+    MILVUS_USER: str | None = Field(
         description="Username for authenticating with Milvus, if username/password authentication is enabled",
         default=None,
     )
 
-    MILVUS_PASSWORD: Optional[str] = Field(
+    MILVUS_PASSWORD: str | None = Field(
         description="Password for authenticating with Milvus, if username/password authentication is enabled",
         default=None,
     )
@@ -40,7 +38,7 @@ class MilvusConfig(BaseSettings):
         default=True,
     )
 
-    MILVUS_ANALYZER_PARAMS: Optional[str] = Field(
+    MILVUS_ANALYZER_PARAMS: str | None = Field(
         description='Milvus text analyzer parameters, e.g., {"type": "chinese"} for Chinese segmentation support.',
         default=None,
     )

api/configs/middleware/vdb/oceanbase_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -9,27 +7,27 @@ class OceanBaseVectorConfig(BaseSettings):
     Configuration settings for OceanBase Vector database
     """
 
-    OCEANBASE_VECTOR_HOST: Optional[str] = Field(
+    OCEANBASE_VECTOR_HOST: str | None = Field(
         description="Hostname or IP address of the OceanBase Vector server (e.g. 'localhost')",
         default=None,
     )
 
-    OCEANBASE_VECTOR_PORT: Optional[PositiveInt] = Field(
+    OCEANBASE_VECTOR_PORT: PositiveInt | None = Field(
         description="Port number on which the OceanBase Vector server is listening (default is 2881)",
         default=2881,
     )
 
-    OCEANBASE_VECTOR_USER: Optional[str] = Field(
+    OCEANBASE_VECTOR_USER: str | None = Field(
         description="Username for authenticating with the OceanBase Vector database",
         default=None,
     )
 
-    OCEANBASE_VECTOR_PASSWORD: Optional[str] = Field(
+    OCEANBASE_VECTOR_PASSWORD: str | None = Field(
         description="Password for authenticating with the OceanBase Vector database",
         default=None,
     )
 
-    OCEANBASE_VECTOR_DATABASE: Optional[str] = Field(
+    OCEANBASE_VECTOR_DATABASE: str | None = Field(
         description="Name of the OceanBase Vector database to connect to",
         default=None,
     )
@@ -39,3 +37,15 @@ class OceanBaseVectorConfig(BaseSettings):
         "with older versions",
         default=False,
     )
+
+    OCEANBASE_FULLTEXT_PARSER: str | None = Field(
+        description=(
+            "Fulltext parser to use for text indexing. "
+            "Built-in options: 'ngram' (N-gram tokenizer for English/numbers), "
+            "'beng' (Basic English tokenizer), 'space' (Space-based tokenizer), "
+            "'ngram2' (Improved N-gram tokenizer), 'ik' (Chinese tokenizer). "
+            "External plugins (require installation): 'japanese_ftparser' (Japanese tokenizer), "
+            "'thai_ftparser' (Thai tokenizer). Default is 'ik'"
+        ),
+        default="ik",
+    )

api/configs/middleware/vdb/opengauss_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -9,7 +7,7 @@ class OpenGaussConfig(BaseSettings):
     Configuration settings for OpenGauss
     """
 
-    OPENGAUSS_HOST: Optional[str] = Field(
+    OPENGAUSS_HOST: str | None = Field(
         description="Hostname or IP address of the OpenGauss server(e.g., 'localhost')",
         default=None,
     )
@@ -19,17 +17,17 @@ class OpenGaussConfig(BaseSettings):
         default=6600,
     )
 
-    OPENGAUSS_USER: Optional[str] = Field(
+    OPENGAUSS_USER: str | None = Field(
         description="Username for authenticating with the OpenGauss database",
         default=None,
     )
 
-    OPENGAUSS_PASSWORD: Optional[str] = Field(
+    OPENGAUSS_PASSWORD: str | None = Field(
         description="Password for authenticating with the OpenGauss database",
         default=None,
     )
 
-    OPENGAUSS_DATABASE: Optional[str] = Field(
+    OPENGAUSS_DATABASE: str | None = Field(
         description="Name of the OpenGauss database to connect to",
         default=None,
     )

api/configs/middleware/vdb/opensearch_config.py

@@ -1,5 +1,5 @@
-import enum
-from typing import Literal, Optional
+from enum import Enum
+from typing import Literal
 
 from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings
@@ -10,7 +10,7 @@ class OpenSearchConfig(BaseSettings):
     Configuration settings for OpenSearch
     """
 
-    class AuthMethod(enum.StrEnum):
+    class AuthMethod(Enum):
         """
         Authentication method for OpenSearch
         """
@@ -18,7 +18,7 @@ class OpenSearchConfig(BaseSettings):
         BASIC = "basic"
         AWS_MANAGED_IAM = "aws_managed_iam"
 
-    OPENSEARCH_HOST: Optional[str] = Field(
+    OPENSEARCH_HOST: str | None = Field(
         description="Hostname or IP address of the OpenSearch server (e.g., 'localhost' or 'opensearch.example.com')",
         default=None,
     )
@@ -43,21 +43,21 @@ class OpenSearchConfig(BaseSettings):
         default=AuthMethod.BASIC,
     )
 
-    OPENSEARCH_USER: Optional[str] = Field(
+    OPENSEARCH_USER: str | None = Field(
         description="Username for authenticating with OpenSearch",
         default=None,
     )
 
-    OPENSEARCH_PASSWORD: Optional[str] = Field(
+    OPENSEARCH_PASSWORD: str | None = Field(
         description="Password for authenticating with OpenSearch",
         default=None,
     )
 
-    OPENSEARCH_AWS_REGION: Optional[str] = Field(
+    OPENSEARCH_AWS_REGION: str | None = Field(
         description="AWS region for OpenSearch (e.g. 'us-west-2')",
         default=None,
     )
 
-    OPENSEARCH_AWS_SERVICE: Optional[Literal["es", "aoss"]] = Field(
+    OPENSEARCH_AWS_SERVICE: Literal["es", "aoss"] | None = Field(
         description="AWS service for OpenSearch (e.g. 'aoss' for OpenSearch Serverless)", default=None
     )

api/configs/middleware/vdb/oracle_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,33 +7,33 @@ class OracleConfig(BaseSettings):
     Configuration settings for Oracle database
     """
 
-    ORACLE_USER: Optional[str] = Field(
+    ORACLE_USER: str | None = Field(
         description="Username for authenticating with the Oracle database",
         default=None,
     )
 
-    ORACLE_PASSWORD: Optional[str] = Field(
+    ORACLE_PASSWORD: str | None = Field(
         description="Password for authenticating with the Oracle database",
         default=None,
     )
 
-    ORACLE_DSN: Optional[str] = Field(
+    ORACLE_DSN: str | None = Field(
         description="Oracle database connection string. For traditional database, use format 'host:port/service_name'. "
         "For autonomous database, use the service name from tnsnames.ora in the wallet",
         default=None,
     )
 
-    ORACLE_CONFIG_DIR: Optional[str] = Field(
+    ORACLE_CONFIG_DIR: str | None = Field(
         description="Directory containing the tnsnames.ora configuration file. Only used in thin mode connection",
         default=None,
     )
 
-    ORACLE_WALLET_LOCATION: Optional[str] = Field(
+    ORACLE_WALLET_LOCATION: str | None = Field(
         description="Oracle wallet directory path containing the wallet files for secure connection",
         default=None,
     )
 
-    ORACLE_WALLET_PASSWORD: Optional[str] = Field(
+    ORACLE_WALLET_PASSWORD: str | None = Field(
         description="Password to decrypt the Oracle wallet, if it is encrypted",
         default=None,
     )

api/configs/middleware/vdb/pgvector_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -9,7 +7,7 @@ class PGVectorConfig(BaseSettings):
     Configuration settings for PGVector (PostgreSQL with vector extension)
     """
 
-    PGVECTOR_HOST: Optional[str] = Field(
+    PGVECTOR_HOST: str | None = Field(
         description="Hostname or IP address of the PostgreSQL server with PGVector extension (e.g., 'localhost')",
         default=None,
     )
@@ -19,17 +17,17 @@ class PGVectorConfig(BaseSettings):
         default=5433,
     )
 
-    PGVECTOR_USER: Optional[str] = Field(
+    PGVECTOR_USER: str | None = Field(
         description="Username for authenticating with the PostgreSQL database",
         default=None,
     )
 
-    PGVECTOR_PASSWORD: Optional[str] = Field(
+    PGVECTOR_PASSWORD: str | None = Field(
         description="Password for authenticating with the PostgreSQL database",
         default=None,
     )
 
-    PGVECTOR_DATABASE: Optional[str] = Field(
+    PGVECTOR_DATABASE: str | None = Field(
         description="Name of the PostgreSQL database to connect to",
         default=None,
     )

api/configs/middleware/vdb/pgvectors_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -9,7 +7,7 @@ class PGVectoRSConfig(BaseSettings):
     Configuration settings for PGVecto.RS (Rust-based vector extension for PostgreSQL)
     """
 
-    PGVECTO_RS_HOST: Optional[str] = Field(
+    PGVECTO_RS_HOST: str | None = Field(
         description="Hostname or IP address of the PostgreSQL server with PGVecto.RS extension (e.g., 'localhost')",
         default=None,
     )
@@ -19,17 +17,17 @@ class PGVectoRSConfig(BaseSettings):
         default=5431,
     )
 
-    PGVECTO_RS_USER: Optional[str] = Field(
+    PGVECTO_RS_USER: str | None = Field(
         description="Username for authenticating with the PostgreSQL database using PGVecto.RS",
         default=None,
     )
 
-    PGVECTO_RS_PASSWORD: Optional[str] = Field(
+    PGVECTO_RS_PASSWORD: str | None = Field(
         description="Password for authenticating with the PostgreSQL database using PGVecto.RS",
         default=None,
     )
 
-    PGVECTO_RS_DATABASE: Optional[str] = Field(
+    PGVECTO_RS_DATABASE: str | None = Field(
         description="Name of the PostgreSQL database with PGVecto.RS extension to connect to",
         default=None,
     )

api/configs/middleware/vdb/qdrant_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, NonNegativeInt, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -9,12 +7,12 @@ class QdrantConfig(BaseSettings):
     Configuration settings for Qdrant vector database
     """
 
-    QDRANT_URL: Optional[str] = Field(
+    QDRANT_URL: str | None = Field(
         description="URL of the Qdrant server (e.g., 'http://localhost:6333' or 'https://qdrant.example.com')",
         default=None,
     )
 
-    QDRANT_API_KEY: Optional[str] = Field(
+    QDRANT_API_KEY: str | None = Field(
         description="API key for authenticating with the Qdrant server",
         default=None,
     )

api/configs/middleware/vdb/relyt_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -9,7 +7,7 @@ class RelytConfig(BaseSettings):
     Configuration settings for Relyt database
     """
 
-    RELYT_HOST: Optional[str] = Field(
+    RELYT_HOST: str | None = Field(
         description="Hostname or IP address of the Relyt server (e.g., 'localhost' or 'relyt.example.com')",
         default=None,
     )
@@ -19,17 +17,17 @@ class RelytConfig(BaseSettings):
         default=9200,
     )
 
-    RELYT_USER: Optional[str] = Field(
+    RELYT_USER: str | None = Field(
         description="Username for authenticating with the Relyt database",
         default=None,
     )
 
-    RELYT_PASSWORD: Optional[str] = Field(
+    RELYT_PASSWORD: str | None = Field(
         description="Password for authenticating with the Relyt database",
         default=None,
     )
 
-    RELYT_DATABASE: Optional[str] = Field(
+    RELYT_DATABASE: str | None = Field(
         description="Name of the Relyt database to connect to (default is 'default')",
         default="default",
     )

api/configs/middleware/vdb/tablestore_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -9,22 +7,22 @@ class TableStoreConfig(BaseSettings):
     Configuration settings for TableStore.
     """
 
-    TABLESTORE_ENDPOINT: Optional[str] = Field(
+    TABLESTORE_ENDPOINT: str | None = Field(
         description="Endpoint address of the TableStore server (e.g. 'https://instance-name.cn-hangzhou.ots.aliyuncs.com')",
         default=None,
     )
 
-    TABLESTORE_INSTANCE_NAME: Optional[str] = Field(
+    TABLESTORE_INSTANCE_NAME: str | None = Field(
         description="Instance name to access TableStore server (eg. 'instance-name')",
         default=None,
     )
 
-    TABLESTORE_ACCESS_KEY_ID: Optional[str] = Field(
+    TABLESTORE_ACCESS_KEY_ID: str | None = Field(
         description="AccessKey id for the instance name",
         default=None,
     )
 
-    TABLESTORE_ACCESS_KEY_SECRET: Optional[str] = Field(
+    TABLESTORE_ACCESS_KEY_SECRET: str | None = Field(
         description="AccessKey secret for the instance name",
         default=None,
     )

api/configs/middleware/vdb/tencent_vector_config.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import Field, NonNegativeInt, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -9,12 +7,12 @@ class TencentVectorDBConfig(BaseSettings):
     Configuration settings for Tencent Vector Database
     """
 
-    TENCENT_VECTOR_DB_URL: Optional[str] = Field(
+    TENCENT_VECTOR_DB_URL: str | None = Field(
         description="URL of the Tencent Vector Database service (e.g., 'https://vectordb.tencentcloudapi.com')",
         default=None,
     )
 
-    TENCENT_VECTOR_DB_API_KEY: Optional[str] = Field(
+    TENCENT_VECTOR_DB_API_KEY: str | None = Field(
         description="API key for authenticating with the Tencent Vector Database service",
         default=None,
     )
@@ -24,12 +22,12 @@ class TencentVectorDBConfig(BaseSettings):
         default=30,
     )
 
-    TENCENT_VECTOR_DB_USERNAME: Optional[str] = Field(
+    TENCENT_VECTOR_DB_USERNAME: str | None = Field(
         description="Username for authenticating with the Tencent Vector Database (if required)",
         default=None,
     )
 
-    TENCENT_VECTOR_DB_PASSWORD: Optional[str] = Field(
+    TENCENT_VECTOR_DB_PASSWORD: str | None = Field(
         description="Password for authenticating with the Tencent Vector Database (if required)",
         default=None,
     )
@@ -44,7 +42,7 @@ class TencentVectorDBConfig(BaseSettings):
         default=2,
     )
 
-    TENCENT_VECTOR_DB_DATABASE: Optional[str] = Field(
+    TENCENT_VECTOR_DB_DATABASE: str | None = Field(
         description="Name of the specific Tencent Vector Database to connect to",
         default=None,
     )