external knowledge api

# Conflicts:
#	api/core/rag/datasource/retrieval_service.py
#	api/models/dataset.py
#	api/services/dataset_service.py

.devcontainer/Dockerfile

@@ -1,5 +1,5 @@
-FROM mcr.microsoft.com/devcontainers/python:3.12
+FROM mcr.microsoft.com/devcontainers/python:3.10
 
 # [Optional] Uncomment this section to install additional OS packages.
 # RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
-#     && apt-get -y install --no-install-recommends <your-package-list-here>
+#     && apt-get -y install --no-install-recommends <your-package-list-here>

.devcontainer/devcontainer.json

@@ -1,7 +1,7 @@
 // For format details, see https://aka.ms/devcontainer.json. For config options, see the
 // README at: https://github.com/devcontainers/templates/tree/main/src/anaconda
 {
-	"name": "Python 3.12",
+	"name": "Python 3.10",
 	"build": { 
 		"context": "..",
 		"dockerfile": "Dockerfile"

.devcontainer/post_create_command.sh

@@ -1,13 +1,11 @@
 #!/bin/bash
 
-npm add -g pnpm@9.12.2
-cd web && pnpm install
+cd web && npm install
 pipx install poetry
 
 echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
 echo 'alias start-worker="cd /workspaces/dify/api && poetry 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="cd /workspaces/dify/web && npm run dev"' >> ~/.bashrc
 echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify up -d"' >> ~/.bashrc
-echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify down"' >> ~/.bashrc
 
-source /home/vscode/.bashrc
+source /home/vscode/.bashrc

.devcontainer/post_start_command.sh

@@ -1,3 +1,3 @@
 #!/bin/bash
 
-cd api && poetry install
+poetry install -C api

.gitattributes

@@ -1,5 +1,5 @@
 # Ensure that .sh scripts use LF as line separator, even if they are checked out
-# to Windows(NTFS) file-system, by a user of Docker for Windows. 
+# to Windows(NTFS) file-system, by a user of Docker for Window. 
 # These .sh scripts will be run from the Container after `docker compose up -d`.
 # If they appear to be CRLF style, Dash from the Container will fail to execute
 # them.

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

@@ -1,36 +0,0 @@
-name: Setup Poetry and Python
-
-inputs:
-  python-version:
-    description: Python version to use and the Poetry installed with
-    required: true
-    default: '3.11'
-  poetry-version:
-    description: Poetry version to set up
-    required: true
-    default: '2.0.1'
-  poetry-lockfile:
-    description: Path to the Poetry lockfile to restore cache from
-    required: true
-    default: ''
-
-runs:
-  using: composite
-  steps:
-    - name: Set up Python ${{ inputs.python-version }}
-      uses: actions/setup-python@v5
-      with:
-        python-version: ${{ inputs.python-version }}
-        cache: pip
-
-    - name: Install Poetry
-      shell: bash
-      run: pip install poetry==${{ inputs.poetry-version }}
-
-    - name: Restore Poetry cache
-      if: ${{ inputs.poetry-lockfile != '' }}
-      uses: actions/setup-python@v5
-      with:
-        python-version: ${{ inputs.python-version }}
-        cache: poetry
-        cache-dependency-path: ${{ inputs.poetry-lockfile }}

.github/pull_request_template.md

@@ -1,25 +1,34 @@
-# Summary
-
-Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
-
-> [!Tip]
-> Close issue syntax: `Fixes #<issue number>` or `Resolves #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
-
-
-# Screenshots
-
-| Before | After |
-|--------|-------|
-| ...    | ...   |
-
-# Checklist
+# Checklist:
 
 > [!IMPORTANT]  
 > Please review the checklist below before submitting your pull request.
 
-- [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
-- [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
-- [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
-- [x] I've updated the documentation accordingly.
-- [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
+- [ ] Please open an issue before creating a PR or link to an existing issue
+- [ ] I have performed a self-review of my own code
+- [ ] I have commented my code, particularly in hard-to-understand areas
+- [ ] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
+
+# Description
+
+Describe the big picture of your changes here to communicate to the maintainers why we should accept this pull request. If it fixes a bug or resolves a feature request, be sure to link to that issue. Close issue syntax: `Fixes #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
+
+Fixes 
+
+## Type of Change
+
+- [ ] Bug fix (non-breaking change which fixes an issue)
+- [ ] New feature (non-breaking change which adds functionality)
+- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
+- [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
+- [ ] Improvement, including but not limited to code refactoring, performance optimization, and UI/UX improvement
+- [ ] Dependency upgrade
+
+# Testing Instructions
+
+Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
+
+- [ ] Test A
+- [ ] Test B
+
+
 

.github/workflows/api-tests.yml

@@ -7,7 +7,6 @@ on:
     paths:
       - api/**
       - docker/**
-      - .github/workflows/api-tests.yml
 
 concurrency:
   group: api-tests-${{ github.head_ref || github.run_id }}
@@ -20,23 +19,27 @@ jobs:
     strategy:
       matrix:
         python-version:
+          - "3.10"
           - "3.11"
           - "3.12"
 
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
 
-      - name: Setup Poetry and Python ${{ matrix.python-version }}
-        uses: ./.github/actions/setup-poetry
+      - name: Install Poetry
+        uses: abatilo/actions-poetry@v3
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
-          poetry-lockfile: api/poetry.lock
+          cache: 'poetry'
+          cache-dependency-path: |
+            api/pyproject.toml
+            api/poetry.lock
 
-      - name: Check Poetry lockfile
+      - name: Poetry check
         run: |
           poetry check -C api --lock
           poetry show -C api
@@ -44,18 +47,14 @@ jobs:
       - name: Install dependencies
         run: poetry install -C api --with dev
 
-      - name: Check dependencies in pyproject.toml
-        run: poetry run -P api bash dev/pytest/pytest_artifacts.sh
-
       - name: Run Unit tests
-        run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh
+        run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh
 
-      - name: Run dify config tests
-        run: poetry run -P api python dev/pytest/pytest_config_tests.py
+      - name: Run ModelRuntime
+        run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh
 
-      - name: Run mypy
-        run: |
-          poetry run -C api python -m mypy --install-types --non-interactive .
+      - name: Run Tool
+        run: poetry run -C api bash dev/pytest/pytest_tools.sh
 
       - name: Set up dotenvs
         run: |
@@ -66,7 +65,7 @@ jobs:
         run: sh .github/workflows/expose_service_ports.sh
 
       - name: Set up Sandbox
-        uses: hoverkraft-tech/compose-action@v2.0.2
+        uses: hoverkraft-tech/compose-action@v2.0.0
         with:
           compose-file: |
             docker/docker-compose.middleware.yaml
@@ -75,4 +74,22 @@ jobs:
             ssrf_proxy
 
       - name: Run Workflow
-        run: poetry run -P api bash dev/pytest/pytest_workflow.sh
+        run: poetry run -C api bash dev/pytest/pytest_workflow.sh
+
+      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch)
+        uses: hoverkraft-tech/compose-action@v2.0.0
+        with:
+          compose-file: |
+            docker/docker-compose.yaml
+          services: |
+            weaviate
+            qdrant
+            etcd
+            minio
+            milvus-standalone
+            pgvecto-rs
+            pgvector
+            chroma
+            elasticsearch
+      - name: Test Vector Stores
+        run: poetry run -C api bash dev/pytest/pytest_vdb.sh

.github/workflows/build-push.yml

@@ -49,7 +49,7 @@ jobs:
           echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
 
       - name: Login to Docker Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           username: ${{ env.DOCKERHUB_USER }}
           password: ${{ env.DOCKERHUB_TOKEN }}
@@ -79,12 +79,10 @@ jobs:
           cache-to: type=gha,mode=max,scope=${{ matrix.service_name }}
 
       - name: Export digest
-        env:
-          DIGEST: ${{ steps.build.outputs.digest }}
         run: |
           mkdir -p /tmp/digests
-          sanitized_digest=${DIGEST#sha256:}
-          touch "/tmp/digests/${sanitized_digest}"
+          digest="${{ steps.build.outputs.digest }}"
+          touch "/tmp/digests/${digest#sha256:}"
 
       - name: Upload digest
         uses: actions/upload-artifact@v4
@@ -116,7 +114,7 @@ jobs:
           merge-multiple: true
 
       - name: Login to Docker Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v2
         with:
           username: ${{ env.DOCKERHUB_USER }}
           password: ${{ env.DOCKERHUB_TOKEN }}
@@ -127,22 +125,17 @@ jobs:
         with:
           images: ${{ env[matrix.image_name_env] }}
           tags: |
-            type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') && !contains(github.ref, '-') }}
+            type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
             type=ref,event=branch
             type=sha,enable=true,priority=100,prefix=,suffix=,format=long
             type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
 
       - name: Create manifest list and push
         working-directory: /tmp/digests
-        env:
-          IMAGE_NAME: ${{ env[matrix.image_name_env] }}
         run: |
           docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
-            $(printf "$IMAGE_NAME@sha256:%s " *)
+            $(printf '${{ env[matrix.image_name_env] }}@sha256:%s ' *)
 
       - name: Inspect image
-        env:
-          IMAGE_NAME: ${{ env[matrix.image_name_env] }}
-          IMAGE_VERSION: ${{ steps.meta.outputs.version }}
         run: |
-          docker buildx imagetools inspect "$IMAGE_NAME:$IMAGE_VERSION"
+          docker buildx imagetools inspect ${{ env[matrix.image_name_env] }}:${{ steps.meta.outputs.version }}

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

@@ -4,10 +4,8 @@ on:
   pull_request:
     branches:
       - main
-      - plugins/beta
     paths:
       - api/migrations/**
-      - .github/workflows/db-migration-test.yml
 
 concurrency:
   group: db-migration-test-${{ github.ref }}
@@ -16,18 +14,26 @@ concurrency:
 jobs:
   db-migration-test:
     runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.10"
 
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
 
-      - name: Setup Poetry and Python
-        uses: ./.github/actions/setup-poetry
+      - name: Install Poetry
+        uses: abatilo/actions-poetry@v3
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
         with:
-          poetry-lockfile: api/poetry.lock
+          python-version: ${{ matrix.python-version }}
+          cache: 'poetry'
+          cache-dependency-path: |
+            api/pyproject.toml
+            api/poetry.lock
 
       - name: Install dependencies
         run: poetry install -C api
@@ -38,7 +44,7 @@ jobs:
           cp middleware.env.example middleware.env
 
       - name: Set up Middlewares
-        uses: hoverkraft-tech/compose-action@v2.0.2
+        uses: hoverkraft-tech/compose-action@v2.0.0
         with:
           compose-file: |
             docker/docker-compose.middleware.yaml
@@ -52,8 +58,6 @@ jobs:
           cp .env.example .env
 
       - name: Run DB Migration
-        env:
-          DEBUG: true
         run: |
           cd api
           poetry run python -m flask upgrade-db

.github/workflows/docker-build.yml

@@ -1,47 +0,0 @@
-name: Build docker image
-
-on:
-  pull_request:
-    branches:
-      - "main"
-    paths:
-      - api/Dockerfile
-      - web/Dockerfile
-
-concurrency:
-  group: docker-build-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  build-docker:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        include:
-          - service_name: "api-amd64"
-            platform: linux/amd64
-            context: "api"
-          - service_name: "api-arm64"
-            platform: linux/arm64
-            context: "api"
-          - service_name: "web-amd64"
-            platform: linux/amd64
-            context: "web"
-          - service_name: "web-arm64"
-            platform: linux/arm64
-            context: "web"
-    steps:
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Build Docker Image
-        uses: docker/build-push-action@v6
-        with:
-          push: false
-          context: "{{defaultContext}}:${{ matrix.context }}"
-          platforms: ${{ matrix.platform }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max

.github/workflows/expose_service_ports.sh

@@ -7,8 +7,5 @@ yq eval '.services["milvus-standalone"].ports += ["19530:19530"]' -i docker/dock
 yq eval '.services.pgvector.ports += ["5433:5432"]' -i docker/docker-compose.yaml
 yq eval '.services["pgvecto-rs"].ports += ["5431:5432"]' -i docker/docker-compose.yaml
 yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-compose.yaml
-yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml
-yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml
-yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml
 
-echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase"
+echo "Ports exposed for sandbox, weaviate, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch"

.github/workflows/style.yml

@@ -17,36 +17,37 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
 
       - name: Check changed files
         id: changed-files
         uses: tj-actions/changed-files@v45
         with:
-          files: |
-            api/**
-            .github/workflows/style.yml
+          files: api/**
 
-      - name: Setup Poetry and Python
+      - name: Install Poetry
+        uses: abatilo/actions-poetry@v3
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
         if: steps.changed-files.outputs.any_changed == 'true'
-        uses: ./.github/actions/setup-poetry
+        with:
+          python-version: '3.10'
 
-      - name: Install dependencies
+      - name: Python dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
         run: poetry install -C api --only lint
 
       - name: Ruff check
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: |
-          poetry run -C api ruff --version
-          poetry run -C api ruff check ./
-          poetry run -C api ruff format --check ./
+        run: poetry run -C api ruff check ./api
 
       - name: Dotenv check
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example
+        run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
+
+      - name: Ruff formatter check
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: poetry run -C api ruff format --check ./api
 
       - name: Lint hints
         if: failure()
@@ -62,9 +63,6 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
 
       - name: Check changed files
         id: changed-files
@@ -72,58 +70,22 @@ jobs:
         with:
           files: web/**
 
-      - name: Install pnpm
-        uses: pnpm/action-setup@v4
-        with:
-          version: 10
-          run_install: false
-
       - name: Setup NodeJS
         uses: actions/setup-node@v4
         if: steps.changed-files.outputs.any_changed == 'true'
         with:
           node-version: 20
-          cache: pnpm
+          cache: yarn
           cache-dependency-path: ./web/package.json
 
       - name: Web dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: pnpm install --frozen-lockfile
+        run: yarn install --frozen-lockfile
 
       - name: Web style check
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: pnpm run lint
+        run: yarn run lint
 
-  docker-compose-template:
-    name: Docker Compose Template
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
-
-      - name: Check changed files
-        id: changed-files
-        uses: tj-actions/changed-files@v45
-        with:
-          files: |
-            docker/generate_docker_compose
-            docker/.env.example
-            docker/docker-compose-template.yaml
-            docker/docker-compose.yaml
-
-      - name: Generate Docker Compose
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: |
-          cd docker
-          ./generate_docker_compose
-
-      - name: Check for changes
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: git diff --exit-code
 
   superlinter:
     name: SuperLinter
@@ -132,9 +94,6 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
 
       - name: Check changed files
         id: changed-files

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

@@ -26,19 +26,16 @@ jobs:
 
     steps:
       - uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
 
       - name: Use Node.js ${{ matrix.node-version }}
         uses: actions/setup-node@v4
         with:
           node-version: ${{ matrix.node-version }}
           cache: ''
-          cache-dependency-path: 'pnpm-lock.yaml'
+          cache-dependency-path: 'yarn.lock'
 
       - name: Install Dependencies
-        run: pnpm install --frozen-lockfile
+        run: yarn install
 
       - name: Test
-        run: pnpm test
+        run: yarn test

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

@@ -16,7 +16,6 @@ jobs:
       - uses: actions/checkout@v4
         with:
           fetch-depth: 2 # last 2 commits
-          persist-credentials: false
 
       - name: Check for file changes in i18n/en-US
         id: check_files
@@ -39,11 +38,11 @@ jobs:
 
       - name: Install dependencies
         if: env.FILES_CHANGED == 'true'
-        run: pnpm install --frozen-lockfile
+        run: yarn install --frozen-lockfile
 
       - name: Run npm script
         if: env.FILES_CHANGED == 'true'
-        run: pnpm run auto-gen-i18n
+        run: npm run auto-gen-i18n
 
       - name: Create Pull Request
         if: env.FILES_CHANGED == 'true'

.github/workflows/vdb-tests.yml

@@ -1,86 +0,0 @@
-name: Run VDB Tests
-
-on:
-  pull_request:
-    branches:
-      - main
-    paths:
-      - api/core/rag/datasource/**
-      - docker/**
-      - .github/workflows/vdb-tests.yml
-      - api/poetry.lock
-      - api/pyproject.toml
-
-concurrency:
-  group: vdb-tests-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  test:
-    name: VDB Tests
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python-version:
-          - "3.11"
-          - "3.12"
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
-
-      - name: Setup Poetry and Python ${{ matrix.python-version }}
-        uses: ./.github/actions/setup-poetry
-        with:
-          python-version: ${{ matrix.python-version }}
-          poetry-lockfile: api/poetry.lock
-
-      - name: Check Poetry lockfile
-        run: |
-          poetry check -C api --lock
-          poetry show -C api
-
-      - name: Install dependencies
-        run: poetry install -C api --with dev
-
-      - name: Set up dotenvs
-        run: |
-          cp docker/.env.example docker/.env
-          cp docker/middleware.env.example docker/middleware.env
-
-      - name: Expose Service Ports
-        run: sh .github/workflows/expose_service_ports.sh
-
-      - name: Set up Vector Store (TiDB)
-        uses: hoverkraft-tech/compose-action@v2.0.2
-        with:
-          compose-file: docker/tidb/docker-compose.yaml
-          services: |
-            tidb
-            tiflash
-
-      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
-        uses: hoverkraft-tech/compose-action@v2.0.2
-        with:
-          compose-file: |
-            docker/docker-compose.yaml
-          services: |
-            weaviate
-            qdrant
-            couchbase-server
-            etcd
-            minio
-            milvus-standalone
-            pgvecto-rs
-            pgvector
-            chroma
-            elasticsearch
-
-      - name: Check TiDB Ready
-        run: poetry run -P api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
-
-      - name: Test Vector Stores
-        run: poetry run -P api bash dev/pytest/pytest_vdb.sh

.github/workflows/web-tests.yml

@@ -1,55 +0,0 @@
-name: Web Tests
-
-on:
-  pull_request:
-    branches:
-      - main
-    paths:
-      - web/**
-
-concurrency:
-  group: web-tests-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  test:
-    name: Web Tests
-    runs-on: ubuntu-latest
-    defaults:
-      run:
-        working-directory: ./web
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
-
-      - name: Check changed files
-        id: changed-files
-        uses: tj-actions/changed-files@v45
-        with:
-          files: web/**
-      # to run pnpm, should install package canvas, but it always install failed on amd64 under ubuntu-latest
-      # - name: Install pnpm
-      #   uses: pnpm/action-setup@v4
-      #   with:
-      #     version: 10
-      #     run_install: false
-
-      # - name: Setup Node.js
-      #   uses: actions/setup-node@v4
-      #   if: steps.changed-files.outputs.any_changed == 'true'
-      #   with:
-      #     node-version: 20
-      #     cache: pnpm
-      #     cache-dependency-path: ./web/package.json
-
-      # - name: Install dependencies
-      #   if: steps.changed-files.outputs.any_changed == 'true'
-      #   run: pnpm install --frozen-lockfile
-
-      # - name: Run tests
-      #   if: steps.changed-files.outputs.any_changed == 'true'
-      #   run: pnpm test

.gitignore

@@ -163,7 +163,6 @@ docker/volumes/db/data/*
 docker/volumes/redis/data/*
 docker/volumes/weaviate/*
 docker/volumes/qdrant/*
-docker/tidb/volumes/*
 docker/volumes/etcd/*
 docker/volumes/minio/*
 docker/volumes/milvus/*
@@ -174,16 +173,9 @@ docker/volumes/myscale/log/*
 docker/volumes/unstructured/*
 docker/volumes/pgvector/data/*
 docker/volumes/pgvecto_rs/data/*
-docker/volumes/couchbase/*
-docker/volumes/oceanbase/*
-docker/volumes/plugin_daemon/*
-!docker/volumes/oceanbase/init.d
 
 docker/nginx/conf.d/default.conf
-docker/nginx/ssl/*
-!docker/nginx/ssl/.gitkeep
 docker/middleware.env
-docker/docker-compose.override.yaml
 
 sdks/python-client/build
 sdks/python-client/dist
@@ -195,10 +187,4 @@ pyrightconfig.json
 api/.vscode
 
 .idea/
-.vscode
-
-# pnpm
-/.pnpm-store
-
-# plugin migrate
-plugins.jsonl
+.vscode

CONTRIBUTING.md

@@ -1,8 +1,6 @@
-# CONTRIBUTING
-
 So you're looking to contribute to Dify - that's awesome, we can't wait to see what you do. As a startup with limited headcount and funding, we have grand ambitions to design the most intuitive workflow for building and managing LLM applications. Any help from the community counts, truly.
 
-We need to be nimble and ship fast given where we are, but we also want to make sure that contributors like you get as smooth an experience at contributing as possible. We've assembled this contribution guide for that purpose, aiming at getting you familiarized with the codebase & how we work with contributors, so you could quickly jump to the fun part.
+We need to be nimble and ship fast given where we are, but we also want to make sure that contributors like you get as smooth an experience at contributing as possible. We've assembled this contribution guide for that purpose, aiming at getting you familiarized with the codebase & how we work with contributors, so you could quickly jump to the fun part. 
 
 This guide, like Dify itself, is a constant work in progress. We highly appreciate your understanding if at times it lags behind the actual project, and welcome any feedback for us to improve.
 
@@ -12,12 +10,14 @@ In terms of licensing, please take a minute to read our short [License and Contr
 
 [Find](https://github.com/langgenius/dify/issues?q=is:issue+is:open) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:
 
-### Feature requests
+### Feature requests:
 
 * If you're opening a new feature request, we'd like you to explain what the proposed feature achieves, and include as much context as possible. [@perzeusss](https://github.com/perzeuss) has made a solid [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) that helps you draft out your needs. Feel free to give it a try.
 
 * If you want to pick one up from the existing issues, simply drop a comment below it saying so.
 
+  
+
   A team member working in the related direction will be looped in. If all looks good, they will give the go-ahead for you to start coding. We ask that you hold off working on the feature until then, so none of your work goes to waste should we propose changes.
 
   Depending on whichever area the proposed feature falls under, you might talk to different team members. Here's rundown of the areas each our team members are working on at the moment:
@@ -40,7 +40,7 @@ In terms of licensing, please take a minute to read our short [License and Contr
   | Non-core features and minor enhancements                     | Low Priority    |
   | Valuable but not immediate                                   | Future-Feature  |
 
-### Anything else (e.g. bug report, performance optimization, typo correction)
+### Anything else (e.g. bug report, performance optimization, typo correction):
 
 * Start coding right away.
 
@@ -52,6 +52,7 @@ In terms of licensing, please take a minute to read our short [License and Contr
   | Non-critical bugs, performance boosts                        | Medium Priority |
   | Minor fixes (typos, confusing but working UI)                | Low Priority    |
 
+
 ## Installing
 
 Here are the steps to set up Dify for development:
@@ -62,7 +63,7 @@ Here are the steps to set up Dify for development:
 
  Clone the forked repository from your terminal:
 
-```shell
+```
 git clone git@github.com:<github_username>/dify.git
 ```
 
@@ -70,21 +71,21 @@ git clone git@github.com:<github_username>/dify.git
 
 Dify requires the following dependencies to build, make sure they're installed on your system:
 
-* [Docker](https://www.docker.com/)
-* [Docker Compose](https://docs.docker.com/compose/install/)
-* [Node.js v18.x (LTS)](http://nodejs.org)
-* [pnpm](https://pnpm.io/)
-* [Python](https://www.python.org/) version 3.11.x or 3.12.x
+- [Docker](https://www.docker.com/)
+- [Docker Compose](https://docs.docker.com/compose/install/)
+- [Node.js v18.x (LTS)](http://nodejs.org)
+- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
+- [Python](https://www.python.org/) version 3.10.x
 
 ### 4. Installations
 
 Dify is composed of a backend and a frontend. Navigate to the backend directory by `cd api/`, then follow the [Backend README](api/README.md) to install it. In a separate terminal, navigate to the frontend directory by `cd web/`, then follow the [Frontend README](web/README.md) to install.
 
-Check the [installation FAQ](https://docs.dify.ai/learn-more/faq/install-faq) for a list of common issues and steps to troubleshoot.
+Check the [installation FAQ](https://docs.dify.ai/learn-more/faq/self-host-faq) for a list of common issues and steps to troubleshoot.
 
 ### 5. Visit dify in your browser
 
-To validate your set up, head over to [http://localhost:3000](http://localhost:3000) (the default, or your self-configured URL and port) in your browser. You should now see Dify up and running.
+To validate your set up, head over to [http://localhost:3000](http://localhost:3000) (the default, or your self-configured URL and port) in your browser. You should now see Dify up and running. 
 
 ## Developing
 
@@ -96,9 +97,9 @@ To help you quickly navigate where your contribution fits, a brief, annotated ou
 
 ### Backend
 
-Dify’s backend is written in Python using [Flask](https://flask.palletsprojects.com/en/3.0.x/). It uses [SQLAlchemy](https://www.sqlalchemy.org/) for ORM and [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) for task queueing. Authorization logic goes via Flask-login.
+Dify’s backend is written in Python using [Flask](https://flask.palletsprojects.com/en/3.0.x/). It uses [SQLAlchemy](https://www.sqlalchemy.org/) for ORM and [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) for task queueing. Authorization logic goes via Flask-login. 
 
-```text
+```
 [api/]
 ├── constants             // Constant settings used throughout code base.
 ├── controllers           // API route definitions and request handling logic.           
@@ -120,7 +121,7 @@ Dify’s backend is written in Python using [Flask](https://flask.palletsproject
 
 The website is bootstrapped on [Next.js](https://nextjs.org/) boilerplate in Typescript and uses [Tailwind CSS](https://tailwindcss.com/) for styling. [React-i18next](https://react.i18next.com/) is used for internationalization.
 
-```text
+```
 [web/]
 ├── app                   // layouts, pages, and components
 │   ├── (commonLayout)    // common layout used throughout the app
@@ -148,10 +149,10 @@ The website is bootstrapped on [Next.js](https://nextjs.org/) boilerplate in Typ
 
 ## Submitting your PR
 
-At last, time to open a pull request (PR) to our repo. For major features, we first merge them into the `deploy/dev` branch for testing, before they go into the `main` branch. If you run into issues like merge conflicts or don't know how to open a pull request, check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests).
+At last, time to open a pull request (PR) to our repo. For major features, we first merge them into the `deploy/dev` branch for testing, before they go into the `main` branch. If you run into issues like merge conflicts or don't know how to open a pull request, check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests). 
 
 And that's it! Once your PR is merged, you will be featured as a contributor in our [README](https://github.com/langgenius/dify/blob/main/README.md).
 
 ## Getting Help
 
-If you ever get stuck or got a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat.
+If you ever get stuck or got a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat. 

CONTRIBUTING_CN.md

@@ -36,7 +36,7 @@
   | 被团队成员标记为高优先级的功能    | 高优先级   |
   | 在 [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) 内反馈的常见功能请求 | 中等优先级 |
   | 非核心功能和小幅改进                     | 低优先级    |
-  | 有价值但不紧急                                   | 未来功能  |
+  | 有价值当不紧急                                   | 未来功能  |
 
 ### 其他任何事情（例如 bug 报告、性能优化、拼写错误更正）：
 * 立即开始编码。
@@ -70,8 +70,8 @@ Dify 依赖以下工具和库：
 - [Docker](https://www.docker.com/)
 - [Docker Compose](https://docs.docker.com/compose/install/)
 - [Node.js v18.x (LTS)](http://nodejs.org)
-- [pnpm](https://pnpm.io/)
-- [Python](https://www.python.org/) version 3.11.x or 3.12.x
+- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
+- [Python](https://www.python.org/) version 3.10.x
 
 ### 4. 安装
 
@@ -138,7 +138,7 @@ Dify 的后端使用 Python 编写，使用 [Flask](https://flask.palletsproject
 ├── models                // 描述数据模型和 API 响应的形状
 ├── public                // 如 favicon 等元资源
 ├── service               // 定义 API 操作的形状
-├── test
+├── test                  
 ├── types                 // 函数参数和返回值的描述
 └── utils                 // 共享的实用函数
 ```

CONTRIBUTING_DE.md

@@ -1,155 +0,0 @@
-# MITWIRKEN
-
-So, du möchtest zu Dify beitragen – das ist großartig, wir können es kaum erwarten, zu sehen, was du beisteuern wirst. Als ein Startup mit begrenzter Mitarbeiterzahl und Finanzierung haben wir große Ambitionen, den intuitivsten Workflow zum Aufbau und zur Verwaltung von LLM-Anwendungen zu entwickeln. Jede Unterstützung aus der Community zählt wirklich.
-
-Dieser Leitfaden, ebenso wie Dify selbst, ist ein ständig in Entwicklung befindliches Projekt. Wir schätzen Ihr Verständnis, falls er zeitweise hinter dem tatsächlichen Projekt zurückbleibt, und freuen uns über jegliches Feedback, das uns hilft, ihn zu verbessern.
-
-Bezüglich der Lizenzierung nehmen Sie sich bitte einen Moment Zeit, um unser kurzes [License and Contributor Agreement](./LICENSE) zu lesen. Die Community hält sich außerdem an den [Code of Conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
-
-## Bevor Sie loslegen
-
-[Finde](https://github.com/langgenius/dify/issues?q=is:issue+is:open) ein bestehendes Issue, oder [öffne](https://github.com/langgenius/dify/issues/new/choose) ein neues. Wir kategorisieren Issues in zwei Typen:
-
-### Feature-Anfragen
-
-* Wenn Sie eine neue Feature-Anfrage stellen, bitten wir Sie zu erklären, was das vorgeschlagene Feature bewirken soll und so viel Kontext wie möglich bereitzustellen. [@perzeusss](https://github.com/perzeuss) hat einen soliden [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) entwickelt, der Ihnen dabei hilft, Ihre Anforderungen zu formulieren. Probieren Sie ihn gerne aus.
-
-* Wenn Sie eines der bestehenden Issues übernehmen möchten, hinterlassen Sie einfach einen Kommentar darunter, in dem Sie uns dies mitteilen.
-
-  Ein Teammitglied, das in der entsprechenden Richtung arbeitet, wird hinzugezogen. Wenn alles in Ordnung ist, gibt es das Okay, mit der Codierung zu beginnen. Wir bitten Sie, mit der Umsetzung des Features zu warten, damit keine Ihrer Arbeiten verloren gehen sollte unsererseits Änderungen vorgeschlagen werden.
-
-  Je nachdem, in welchen Bereich das vorgeschlagene Feature fällt, können Sie mit verschiedenen Teammitgliedern sprechen. Hier ist eine Übersicht der Bereiche, an denen unsere Teammitglieder derzeit arbeiten:
-
-  | Member                                                       | Scope                                                |
-  | ------------------------------------------------------------ | ---------------------------------------------------- |
-  | [@yeuoly](https://github.com/Yeuoly)                         | Architecting Agents                                  |
-  | [@jyong](https://github.com/JohnJyong)                       | RAG pipeline design                                  |
-  | [@GarfieldDai](https://github.com/GarfieldDai)               | Building workflow orchestrations                     |
-  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Making our frontend a breeze to use                  |
-  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Developer experience, points of contact for anything |
-  | [@takatost](https://github.com/takatost)                     | Overall product direction and architecture           |
-
-  Wie wir Prioritäten setzen:
-
-  | Feature Type                                                 | Priority        |
-  | ------------------------------------------------------------ | --------------- |
-  | Funktionen mit hoher Priorität, wie sie von einem Teammitglied gekennzeichnet wurden     | High Priority   |
-  | Beliebte Funktionsanfragen von unserem [Community-Feedback-Board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Medium Priority |
-  | Nicht-Kernfunktionen und kleinere Verbesserungen                    | Low Priority    |
-  | Wertvoll, aber nicht unmittelbar                                  | Future-Feature  |
-
-### Sonstiges (e.g. bug report, performance optimization, typo correction)
-
-* Fangen Sie sofort an zu programmieren..
-
-  Wie wir Prioritäten setzen:
-
-  | Issue Type                                                   | Priority        |
-  | ------------------------------------------------------------ | --------------- |
-  | Fehler in Kernfunktionen (Anmeldung nicht möglich, Anwendungen funktionieren nicht, Sicherheitslücken) | Critical        |
-  | Nicht-kritische Fehler, Leistungsverbesserungen                     | Medium Priority |
-  | Kleinere Fehlerkorrekturen (Schreibfehler, verwirrende, aber funktionierende Benutzeroberfläche)                | Low Priority    |
-
-## Installieren
-
-Hier sind die Schritte, um Dify für die Entwicklung einzurichten:
-
-### 1. Fork dieses Repository
-
-### 2. Clone das Repo
-
- Klonen Sie das geforkte Repository von Ihrem Terminal aus:
-
-```shell
-git clone git@github.com:<github_username>/dify.git
-```
-
-### 3. Abhängigkeiten prüfen
-
-Dify benötigt die folgenden Abhängigkeiten zum Bauen – stellen Sie sicher, dass sie auf Ihrem System installiert sind:
-
-* [Docker](https://www.docker.com/)
-* [Docker Compose](https://docs.docker.com/compose/install/)
-* [Node.js v18.x (LTS)](http://nodejs.org)
-* [pnpm](https://pnpm.io/)
-* [Python](https://www.python.org/) version 3.11.x or 3.12.x
-
-### 4. Installationen
-
-Dify setzt sich aus einem Backend und einem Frontend zusammen. Wechseln Sie in das Backend-Verzeichnis mit `cd api/` und folgen Sie der [Backend README](api/README.md) zur Installation. Öffnen Sie in einem separaten Terminal das Frontend-Verzeichnis mit `cd web/` und folgen Sie der [Frontend README](web/README.md) zur Installation.
-
-Überprüfen Sie die [Installation FAQ](https://docs.dify.ai/learn-more/faq/install-faq) für eine Liste bekannter Probleme und Schritte zur Fehlerbehebung.
-
-### 5. Besuchen Sie dify in Ihrem Browser
-
-Um Ihre Einrichtung zu validieren, öffnen Sie Ihren Browser und navigieren Sie zu [http://localhost:3000](http://localhost:3000) (Standardwert oder Ihre selbst konfigurierte URL und Port). Sie sollten nun Dify im laufenden Betrieb sehen.
-
-## Entwickeln
-
-Wenn Sie einen Modellanbieter hinzufügen, ist [dieser Leitfaden](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) für Sie.
-
-Wenn Sie einen Tool-Anbieter für Agent oder Workflow hinzufügen möchten, ist [dieser Leitfaden](./api/core/tools/README.md) für Sie.
-
-Um Ihnen eine schnelle Orientierung zu bieten, wo Ihr Beitrag passt, folgt eine kurze, kommentierte Übersicht des Backends und Frontends von Dify:
-
-### Backend
-
-Dify’s Backend ist in Python geschrieben und nutzt [Flask](https://flask.palletsprojects.com/en/3.0.x/) als Web-Framework. Es verwendet [SQLAlchemy](https://www.sqlalchemy.org/) für ORM und [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) für Task-Queueing. Die Autorisierungslogik erfolgt über Flask-login.
-
-```text
-[api/]
-├── constants             // Konstante Einstellungen, die in der gesamten Codebasis verwendet werden.
-├── controllers           // API-Routendefinitionen und Logik zur Bearbeitung von Anfragen.
-├── core                  // Orchestrierung von Kernanwendungen, Modellintegrationen und Tools.
-├── docker                // Konfigurationen im Zusammenhang mit Docker und Containerisierung.
-├── events                // Ereignisbehandlung und -verarbeitung
-├── extensions            // Erweiterungen mit Frameworks/Plattformen von Drittanbietern.
-├── fields                // Felddefinitionen für die Serialisierung/Marshalling.
-├── libs                  // Wiederverwendbare Bibliotheken und Hilfsprogramme
-├── migrations            // Skripte für die Datenbankmigration.
-├── models                // Datenbankmodelle und Schemadefinitionen.
-├── services              // Gibt die Geschäftslogik an.
-├── storage               // Speicherung privater Schlüssel.   
-├── tasks                 // Handhabung von asynchronen Aufgaben und Hintergrundaufträgen.
-└── tests
-```
-
-### Frontend
-
-Die Website basiert auf einem [Next.js](https://nextjs.org/)-Boilerplate in TypeScript und verwendet [Tailwind CSS](https://tailwindcss.com/) für das Styling. [React-i18next](https://react.i18next.com/) wird für die Internationalisierung genutzt.
-
-```text
-[web/]
-├── app                   // Layouts, Seiten und Komponenten
-│   ├── (commonLayout)    // gemeinsames Layout für die gesamte Anwendung
-│   ├── (shareLayout)     // Layouts, die speziell für tokenspezifische Sitzungen gemeinsam genutzt werden 
-│   ├── activate          // Seite aufrufen
-│   ├── components        // gemeinsam genutzt von Seiten und Layouts
-│   ├── install           // Seite installieren
-│   ├── signin            // Anmeldeseite
-│   └── styles            // global geteilte Stile
-├── assets                // Statische Vermögenswerte
-├── bin                   // Skripte, die beim Build-Schritt ausgeführt werden
-├── config                // einstellbare Einstellungen und Optionen 
-├── context               // gemeinsame Kontexte, die von verschiedenen Teilen der Anwendung verwendet werden
-├── dictionaries          // Sprachspezifische Übersetzungsdateien 
-├── docker                // Container-Konfigurationen
-├── hooks                 // Wiederverwendbare Haken
-├── i18n                  // Konfiguration der Internationalisierung
-├── models                // beschreibt Datenmodelle und Formen von API-Antworten
-├── public                // Meta-Assets wie Favicon
-├── service               // legt Formen von API-Aktionen fest
-├── test                  
-├── types                 // Beschreibungen von Funktionsparametern und Rückgabewerten
-└── utils                 // Gemeinsame Nutzenfunktionen
-```
-
-## Einreichung Ihrer PR
-
-Am Ende ist es Zeit, einen Pull Request (PR) in unserem Repository zu eröffnen. Für wesentliche Features mergen wir diese zunächst in den `deploy/dev`-Branch zum Testen, bevor sie in den `main`-Branch übernommen werden. Falls Sie auf Probleme wie Merge-Konflikte stoßen oder nicht wissen, wie man einen Pull Request erstellt, schauen Sie sich [GitHub's Pull Request Tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) an.
-
-Und das war's! Sobald Ihr PR gemerged wurde, werden Sie als Mitwirkender in unserem [README](https://github.com/langgenius/dify/blob/main/README.md) aufgeführt.
-
-## Hilfe bekommen
-
-Wenn Sie beim Beitragen jemals nicht weiter wissen oder eine brennende Frage haben, richten Sie Ihre Anfrage einfach über das entsprechende GitHub-Issue an uns oder besuchen Sie unseren [Discord](https://discord.gg/8Tpq4AcN9c) für ein kurzes Gespräch.

CONTRIBUTING_JA.md

@@ -73,8 +73,8 @@ Dify を構築するには次の依存関係が必要です。それらがシス
 - [Docker](https://www.docker.com/)
 - [Docker Compose](https://docs.docker.com/compose/install/)
 - [Node.js v18.x (LTS)](http://nodejs.org)
-- [pnpm](https://pnpm.io/)
-- [Python](https://www.python.org/) version 3.11.x or 3.12.x
+- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
+- [Python](https://www.python.org/) version 3.10.x
 
 ### 4. インストール
 

CONTRIBUTING_TW.md

@@ -1,153 +0,0 @@
-# 貢獻指南
-
-您想為 Dify 做出貢獻 - 這太棒了，我們迫不及待地想看看您的成果。作為一家人力和資金有限的初創公司，我們有宏大的抱負，希望設計出最直觀的工作流程來構建和管理 LLM 應用程式。來自社群的任何幫助都非常珍貴，真的。
-
-鑑於我們的現狀，我們需要靈活且快速地發展，但同時也希望確保像您這樣的貢獻者能夠獲得盡可能順暢的貢獻體驗。我們編寫了這份貢獻指南，目的是幫助您熟悉代碼庫以及我們如何與貢獻者合作，讓您可以更快地進入有趣的部分。
-
-這份指南，就像 Dify 本身一樣，是不斷發展的。如果有時它落後於實際項目，我們非常感謝您的理解，也歡迎任何改進的反饋。
-
-關於授權，請花一分鐘閱讀我們簡短的[授權和貢獻者協議](./LICENSE)。社群也遵守[行為準則](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
-
-## 在開始之前
-
-[尋找](https://github.com/langgenius/dify/issues?q=is:issue+is:open)現有的 issue，或[創建](https://github.com/langgenius/dify/issues/new/choose)一個新的。我們將 issues 分為 2 種類型：
-
-### 功能請求
-
-- 如果您要開啟新的功能請求，我們希望您能解釋所提議的功能要達成什麼目標，並且盡可能包含更多的相關背景資訊。[@perzeusss](https://github.com/perzeuss) 已經製作了一個實用的[功能請求輔助工具](https://udify.app/chat/MK2kVSnw1gakVwMX)，能幫助您草擬您的需求。歡迎試用。
-
-- 如果您想從現有問題中選擇一個來處理，只需在其下方留言表示即可。
-
-  相關方向的團隊成員會加入討論。如果一切順利，他們會同意您開始編寫代碼。我們要求您在得到許可前先不要開始處理該功能，以免我們提出變更時您的工作成果被浪費。
-
-  根據所提議功能的領域不同，您可能會與不同的團隊成員討論。以下是目前每位團隊成員所負責的領域概述：
-
-  | 成員                                                                                    | 負責領域                       |
-  | --------------------------------------------------------------------------------------- | ------------------------------ |
-  | [@yeuoly](https://github.com/Yeuoly)                                                    | 設計 Agents 架構               |
-  | [@jyong](https://github.com/JohnJyong)                                                  | RAG 管道設計                   |
-  | [@GarfieldDai](https://github.com/GarfieldDai)                                          | 建構工作流程編排               |
-  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh)           | 打造易用的前端界面             |
-  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 開發者體驗，各類問題的聯絡窗口 |
-  | [@takatost](https://github.com/takatost)                                                | 整體產品方向與架構             |
-
-  我們如何排定優先順序：
-
-  | 功能類型                                                                                                | 優先級   |
-  | ------------------------------------------------------------------------------------------------------- | -------- |
-  | 被團隊成員標記為高優先級的功能                                                                          | 高優先級 |
-  | 來自我們[社群回饋版](https://github.com/langgenius/dify/discussions/categories/feedbacks)的熱門功能請求 | 中優先級 |
-  | 非核心功能和次要增強                                                                                    | 低優先級 |
-  | 有價值但非急迫的功能                                                                                    | 未來功能 |
-
-### 其他事項 (例如錯誤回報、效能優化、錯字更正)
-
-- 可以直接開始編寫程式碼。
-
-  我們如何排定優先順序：
-
-  | 問題類型                                              | 優先級   |
-  | ----------------------------------------------------- | -------- |
-  | 核心功能的錯誤 (無法登入、應用程式無法運行、安全漏洞) | 重要     |
-  | 非關鍵性錯誤、效能提升                                | 中優先級 |
-  | 小修正 (錯字、令人困惑但仍可運作的使用者界面)         | 低優先級 |
-
-## 安裝
-
-以下是設置 Dify 開發環境的步驟：
-
-### 1. 分叉此存儲庫
-
-### 2. 複製代碼庫
-
-從您的終端機複製分叉的代碼庫：
-
-```shell
-git clone git@github.com:<github_username>/dify.git
-```
-
-- [Docker](https://www.docker.com/)
-- [Docker Compose](https://docs.docker.com/compose/install/)
-- [Node.js v18.x (LTS)](http://nodejs.org)
-- [pnpm](https://pnpm.io/)
-- [Python](https://www.python.org/) version 3.11.x or 3.12.x
-
-### 4. 安裝
-
-Dify 由後端和前端組成。透過 `cd api/` 導航至後端目錄，然後按照[後端 README](api/README.md)進行安裝。在另一個終端機視窗中，透過 `cd web/` 導航至前端目錄，然後按照[前端 README](web/README.md)進行安裝。
-
-查閱[安裝常見問題](https://docs.dify.ai/learn-more/faq/install-faq)了解常見問題和故障排除步驟的列表。
-
-### 5. 在瀏覽器中訪問 Dify
-
-要驗證您的設置，請在瀏覽器中訪問 [http://localhost:3000](http://localhost:3000)（預設值，或您自行設定的 URL 和埠號）。現在您應該能看到 Dify 已啟動並運行。
-
-## 開發
-
-如果您要添加模型提供者，請參考[此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
-
-如果您要為 Agent 或工作流程添加工具提供者，請參考[此指南](./api/core/tools/README.md)。
-
-為了幫助您快速找到您的貢獻適合的位置，以下是 Dify 後端和前端的簡要註解大綱：
-
-### 後端
-
-Dify 的後端使用 Python 的 [Flask](https://flask.palletsprojects.com/en/3.0.x/) 框架編寫。它使用 [SQLAlchemy](https://www.sqlalchemy.org/) 作為 ORM 工具，使用 [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) 進行任務佇列處理。授權邏輯則透過 Flask-login 實現。
-
-```text
-[api/]
-├── constants             // 整個專案中使用的常數與設定值
-├── controllers           // API 路由定義與請求處理邏輯
-├── core                  // 核心應用服務、模型整合與工具實現
-├── docker                // Docker 容器化相關設定檔案
-├── events                // 事件處理與流程管理機制
-├── extensions            // 與第三方框架或平台的整合擴充功能
-├── fields                // 資料序列化與結構定義欄位
-├── libs                  // 可重複使用的共用程式庫與輔助工具
-├── migrations            // 資料庫結構變更與遷移腳本
-├── models                // 資料庫模型與資料結構定義
-├── services              // 核心業務邏輯與功能實現
-├── storage               // 私鑰與敏感資訊儲存機制
-├── tasks                 // 非同步任務與背景作業處理器
-└── tests
-```
-
-### 前端
-
-網站基於 [Next.js](https://nextjs.org/) 的 Typescript 樣板，並使用 [Tailwind CSS](https://tailwindcss.com/) 進行樣式設計。[React-i18next](https://react.i18next.com/) 用於國際化。
-
-```text
-[web/]
-├── app                   // 頁面佈局與介面元件
-│   ├── (commonLayout)    // 應用程式共用佈局結構
-│   ├── (shareLayout)     // Token 會話專用共享佈局
-│   ├── activate          // 帳號啟用頁面
-│   ├── components        // 頁面與佈局共用元件
-│   ├── install           // 系統安裝頁面
-│   ├── signin            // 使用者登入頁面
-│   └── styles            // 全域共用樣式定義
-├── assets                // 靜態資源檔案庫
-├── bin                   // 建構流程執行腳本
-├── config                // 系統可調整設定與選項
-├── context               // 應用程式狀態共享上下文
-├── dictionaries          // 多語系翻譯詞彙庫
-├── docker                // Docker 容器設定檔
-├── hooks                 // 可重複使用的 React Hooks
-├── i18n                  // 國際化與本地化設定
-├── models                // 資料結構與 API 回應模型
-├── public                // 靜態資源與網站圖標
-├── service               // API 操作介面定義
-├── test                  // 測試用例與測試框架
-├── types                 // TypeScript 型別定義
-└── utils                 // 共用輔助功能函式庫
-```
-
-## 提交您的 PR
-
-最後，是時候向我們的存儲庫開啟拉取請求（PR）了。對於主要功能，我們會先將它們合併到 `deploy/dev` 分支進行測試，然後才會進入 `main` 分支。如果您遇到合併衝突或不知道如何開啟拉取請求等問題，請查看 [GitHub 的拉取請求教學](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)。
-
-就是這樣！一旦您的 PR 被合併，您將作為貢獻者出現在我們的 [README](https://github.com/langgenius/dify/blob/main/README.md) 中。
-
-## 獲取幫助
-
-如果您在貢獻過程中遇到困難或有迫切的問題，只需通過相關的 GitHub issue 向我們提問，或加入我們的 [Discord](https://discord.gg/8Tpq4AcN9c) 進行快速交流。

CONTRIBUTING_VI.md

@@ -72,14 +72,14 @@ Dify yêu cầu các phụ thuộc sau để build, hãy đảm bảo chúng đ
 - [Docker](https://www.docker.com/)
 - [Docker Compose](https://docs.docker.com/compose/install/)
 - [Node.js v18.x (LTS)](http://nodejs.org)
-- [pnpm](https://pnpm.io/)
-- [Python](https://www.python.org/) phiên bản 3.11.x hoặc 3.12.x
+- [npm](https://www.npmjs.com/) phiên bản 8.x.x hoặc [Yarn](https://yarnpkg.com/)
+- [Python](https://www.python.org/) phiên bản 3.10.x
 
 ### 4. Cài đặt
 
 Dify bao gồm một backend và một frontend. Đi đến thư mục backend bằng lệnh `cd api/`, sau đó làm theo hướng dẫn trong [README của Backend](api/README.md) để cài đặt. Trong một terminal khác, đi đến thư mục frontend bằng lệnh `cd web/`, sau đó làm theo hướng dẫn trong [README của Frontend](web/README.md) để cài đặt.
 
-Kiểm tra [FAQ về cài đặt](https://docs.dify.ai/learn-more/faq/install-faq) để xem danh sách các vấn đề thường gặp và các bước khắc phục.
+Kiểm tra [FAQ về cài đặt](https://docs.dify.ai/learn-more/faq/self-host-faq) để xem danh sách các vấn đề thường gặp và các bước khắc phục.
 
 ### 5. Truy cập Dify trong trình duyệt của bạn
 
@@ -153,4 +153,4 @@ Và thế là xong! Khi PR của bạn được merge, bạn sẽ được giớ
 
 ## Nhận trợ giúp
 
-Nếu bạn gặp khó khăn hoặc có câu hỏi cấp bách trong quá trình đóng góp, hãy đặt câu hỏi của bạn trong vấn đề GitHub liên quan, hoặc tham gia [Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi để trò chuyện nhanh chóng.
+Nếu bạn gặp khó khăn hoặc có câu hỏi cấp bách trong quá trình đóng góp, hãy đặt câu hỏi của bạn trong vấn đề GitHub liên quan, hoặc tham gia [Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi để trò chuyện nhanh chóng.

LICENSE

@@ -1,14 +1,13 @@
 # Open Source License
 
-Dify is licensed under a modified version of the Apache License 2.0, with the following additional conditions:
+Dify is licensed under the Apache License 2.0, with the following additional conditions:
 
 1. Dify may be utilized commercially, including as a backend service for other applications or as an application development platform for enterprises. Should the conditions below be met, a commercial license must be obtained from the producer:
 
-a. Multi-tenant service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment.
+a. Multi-tenant service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment. 
     - Tenant Definition: Within the context of Dify, one tenant corresponds to one workspace. The workspace provides a separated area for each tenant's data and configurations.
 
-b. LOGO and copyright information: In the process of using Dify's frontend, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend.
-    - Frontend Definition: For the purposes of this license, the "frontend" of Dify includes all components located in the `web/` directory when running Dify from the raw source code, or the "web" image when running Dify with Docker.
+b. LOGO and copyright information: In the process of using Dify's frontend components, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend components.
 
 Please contact business@dify.ai by email to inquire about licensing matters.
 
@@ -21,4 +20,19 @@ Apart from the specific conditions mentioned above, all other rights and restric
 
 The interactive design of this product is protected by appearance patent.
 
-© 2025 LangGenius, Inc.
+© 2024 LangGenius, Inc.
+
+
+----------
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.

README.md

@@ -1,9 +1,5 @@
 ![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
 
-<p align="center">
-  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast</a>
-</p>
-
 <p align="center">
   <a href="https://cloud.dify.ai">Dify Cloud</a> ·
   <a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
@@ -19,15 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="join Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -40,7 +30,6 @@
 
 <p align="center">
   <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_TW.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
   <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
   <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
   <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
@@ -50,67 +39,43 @@
   <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
   <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
   <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
-Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
 
-## Quick start
+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>
 
-> Before installing Dify, make sure your machine meets the following minimum system requirements:
->
-> - CPU >= 2 Core
-> - RAM >= 4 GiB
+**1. Workflow**: 
+  Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
 
-</br>
 
-The easiest way to start the Dify server is through [docker compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-```bash
-cd dify
-cd docker
-cp .env.example .env
-docker compose up -d
-```
 
-After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
 
-#### Seeking help
-
-Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) if you are still having issues.
-
-> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
-
-## Key features
-
-**1. Workflow**:
-Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
-
-https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
-
-**2. Comprehensive model support**:
-Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, 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.
 
-**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.
+**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. 
 
-**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.
+**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.
 
-**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.
+**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.
 
-**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.
+**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.
 
-## Feature Comparison
+**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>
@@ -162,7 +127,7 @@ All of Dify's offerings come with corresponding APIs, so you could effortlessly
     <td align="center">❌</td>
   </tr>
   <tr>
-    <td align="center">Enterprise Feature (SSO/Access control)</td>
+    <td align="center">Enterprise Features (SSO/Access control)</td>
     <td align="center">✅</td>
     <td align="center">❌</td>
     <td align="center">❌</td>
@@ -180,23 +145,46 @@ All of Dify's offerings come with corresponding APIs, so you could effortlessly
 ## 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. [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=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
   > For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
 
+
 ## Staying ahead
 
 Star Dify on GitHub and be instantly notified of new releases.
 
 ![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
 
-## Advanced Setup
+
+
+## Quick start
+> Before installing Dify, make sure your machine meets the following minimum system requirements:
+> 
+>- CPU >= 2 Core
+>- RAM >= 4GB
+
+</br>
+
+The easiest way to start the Dify server is to run our [docker-compose.yml](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
+
+```bash
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
+
+> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## Next steps
 
 If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 
@@ -208,48 +196,36 @@ If you'd like to configure a highly-available setup, there are community-contrib
 
 #### Using Terraform for Deployment
 
-Deploy Dify to Cloud Platform with a single click using [terraform](https://www.terraform.io/)
-
 ##### Azure Global
-
+Deploy Dify to Azure with a single click using [terraform](https://www.terraform.io/).
 - [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)
-
-#### Using AWS CDK for Deployment
-
-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)
-
 ## 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/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
 
-## Community & contact
-
-- [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
-- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
-- [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.
-
 **Contributors**
 
 <a href="https://github.com/langgenius/dify/graphs/contributors">
   <img src="https://contrib.rocks/image?repo=langgenius/dify" />
 </a>
 
+## Community & contact
+
+* [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
+* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
+* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
+
 ## 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_AR.md

@@ -15,15 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="join Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -45,7 +39,6 @@
   <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
   <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
   <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
 <div style="text-align: right;">
@@ -54,7 +47,8 @@
 
 **1. سير العمل**:  قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر.
 
-  <https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa>
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
 
 **2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/getting-started/readme/model-providers).
 
@@ -69,9 +63,7 @@
 **6. الـ LLMOps**: راقب وتحلل سجلات التطبيق والأداء على مر الزمن. يمكنك تحسين الأوامر والبيانات والنماذج باستمرار استنادًا إلى البيانات الإنتاجية والتعليقات.
 
 **7.الواجهة الخلفية (Backend) كخدمة**: تأتي جميع عروض Dify مع APIs مطابقة، حتى يمكنك دمج Dify بسهولة في منطق أعمالك الخاص.
-
 ## مقارنة الميزات
-
 <table style="width: 100%;">
   <tr>
     <th align="center">الميزة</th>
@@ -138,8 +130,8 @@
   </tr>
 </table>
 
-## استخدام Dify
 
+## 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.
 
@@ -149,19 +141,15 @@
 
 - **مشروع Dify للشركات / المؤسسات</br>**
 نحن نوفر ميزات إضافية مركزة على الشركات. [جدول اجتماع معنا](https://cal.com/guchenhe/30min) أو [أرسل لنا بريدًا إلكترونيًا](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) لمناقشة احتياجات الشركات. </br>
-
 > بالنسبة للشركات الناشئة والشركات الصغيرة التي تستخدم خدمات AWS، تحقق من [Dify Premium على AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) ونشرها في شبكتك الخاصة على AWS VPC بنقرة واحدة. إنها عرض AMI بأسعار معقولة مع خيار إنشاء تطبيقات بشعار وعلامة تجارية مخصصة.
->
 ## البقاء قدمًا
 
 قم بإضافة نجمة إلى Dify على GitHub وتلق تنبيهًا فوريًا بالإصدارات الجديدة.
 
 ![نجمنا](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
 ## البداية السريعة
->
 > قبل تثبيت Dify، تأكد من أن جهازك يلبي الحد الأدنى من متطلبات النظام التالية:
->
+> 
 >- معالج >= 2 نواة
 >- ذاكرة وصول عشوائي (RAM) >= 4 جيجابايت
 
@@ -191,29 +179,17 @@ docker compose up -d
 
 #### استخدام Terraform للتوزيع
 
-انشر Dify إلى منصة السحابة بنقرة واحدة باستخدام [terraform](https://www.terraform.io/)
-
 ##### Azure Global
-
+استخدم [terraform](https://www.terraform.io/) لنشر Dify على Azure بنقرة واحدة.
 - [Azure Terraform بواسطة @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
-##### Google Cloud
-
-- [Google Cloud Terraform بواسطة @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
-
-#### استخدام AWS CDK للنشر
-
-انشر Dify على AWS باستخدام [CDK](https://aws.amazon.com/cdk/)
-
-##### AWS
-
-- [AWS CDK بواسطة @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
 
 ## المساهمة
 
-لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا.
+لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا. 
 في الوقت نفسه، يرجى النظر في دعم Dify عن طريق مشاركته على وسائل التواصل الاجتماعي وفي الفعاليات والمؤتمرات.
 
+
 > نحن نبحث عن مساهمين لمساعدة في ترجمة Dify إلى لغات أخرى غير اللغة الصينية المندرين أو الإنجليزية. إذا كنت مهتمًا بالمساعدة، يرجى الاطلاع على [README للترجمة](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) لمزيد من المعلومات، واترك لنا تعليقًا في قناة `global-users` على [خادم المجتمع على Discord](https://discord.gg/8Tpq4AcN9c).
 
 **المساهمون**
@@ -223,26 +199,19 @@ 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.
-- [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
+* [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.
+* [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
 
 ## تاريخ النجمة
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
+
 ## الكشف عن الأمان
 
-لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى <security@dify.ai> وسنقدم لك إجابة أكثر تفصيلاً.
-
-## الرخصة
-
-هذا المستودع متاح تحت [رخصة البرنامج الحر Dify](LICENSE)، والتي تعتبر بشكل أساسي Apache 2.0 مع بعض القيود الإضافية.
-
-## الكشف عن الأمان
-
-لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى <security@dify.ai> وسنقدم لك إجابة أكثر تفصيلاً.
+لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى security@dify.ai وسنقدم لك إجابة أكثر تفصيلاً.
 
 ## الرخصة
 

README_BN.md

@@ -1,258 +0,0 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<p align="center">
-  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">ডিফাই ওয়ার্কফ্লো ফাইল আপলোড পরিচিতি: গুগল নোটবুক-এলএম পডকাস্ট পুনর্নির্মাণ</a>
-</p>
-
-<p align="center">
-  <a href="https://cloud.dify.ai">ডিফাই ক্লাউড</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">সেল্ফ-হোস্টিং</a> ·
-  <a href="https://docs.dify.ai">ডকুমেন্টেশন</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">ব্যাবসায়িক অনুসন্ধান</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white" 
-            alt="join Reddit"></a>
-    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
-        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
-    <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
-</p>
-
-<p align="center">
-  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
-  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
-  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
-</p>
-
-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 :
->
->- 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।
-
-> 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।
-
-  <https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa>
-
-**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। 
-
-**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। 
-
-**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।
-
-**7. ব্যাকএন্ড-অ্যাজ-এ-সার্ভিস**:
-    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 
-
-- **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।
-
-- **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।
-
-- **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>
-
-  > 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।
-
-## এগিয়ে থাকুন
-
-GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন এবং নতুন রিলিজের খবর তাৎক্ষণিকভাবে পান।
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-## 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। 
-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।
-
-- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
-- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
-
-#### টেরাফর্ম ব্যবহার করে ডিপ্লয়
-
-[terraform](https://www.terraform.io/) ব্যবহার করে এক ক্লিকেই ক্লাউড প্ল্যাটফর্মে Dify ডিপ্লয় করুন।
-
-##### অ্যাজুর গ্লোবাল
-
-- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
-
-##### গুগল ক্লাউড
-
-- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
-
-#### AWS CDK ব্যবহার করে ডিপ্লয়
-
-[CDK](https://aws.amazon.com/cdk/) দিয়ে AWS-এ Dify ডিপ্লয় করুন
-
-##### AWS
-
-- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
-
-## Contributing
-
-যারা কোড অবদান রাখতে চান, তাদের জন্য আমাদের [অবদান নির্দেশিকা] দেখুন (https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)।
-একই সাথে, সোশ্যাল মিডিয়া এবং ইভেন্ট এবং কনফারেন্সে এটি শেয়ার করে Dify কে সমর্থন করুন।
-
-> আমরা ম্যান্ডারিন বা ইংরেজি ছাড়া অন্য ভাষায় Dify অনুবাদ করতে সাহায্য করার জন্য অবদানকারীদের খুঁজছি। আপনি যদি সাহায্য করতে আগ্রহী হন, তাহলে আরও তথ্যের জন্য [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) দেখুন এবং আমাদের [ডিসকর্ড কমিউনিটি সার্ভার](https://discord.gg/8Tpq4AcN9c) এর `গ্লোবাল-ইউজারস` চ্যানেলে আমাদের একটি মন্তব্য করুন।
-
-## 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। 
-
-**অবদানকারীদের তালিকা**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## স্টার হিস্ট্রি
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## 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।
-
-## লাইসেন্স
-
-এই রিপোজিটরিটি [ডিফাই ওপেন সোর্স লাইসেন্স](LICENSE) এর অধিনে , যা মূলত অ্যাপাচি ২.০, তবে কিছু অতিরিক্ত বিধিনিষেধ রয়েছে।

README_CN.md

@@ -15,15 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="join Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -45,7 +39,6 @@
   <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
   <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
   <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </div>
 
 
@@ -161,7 +154,7 @@ Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI
 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。
+使用这个[入门指南](#quick-start)快速在您的环境中运行 Dify。
 使用我们的[文档](https://docs.dify.ai)进行进一步的参考和更深入的说明。
 
 - **面向企业/组织的 Dify</br>**
@@ -181,7 +174,7 @@ Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI
 在安装 Dify 之前，请确保您的机器满足以下最低系统要求：
 
 - CPU >= 2 Core
-- RAM >= 4 GiB
+- RAM >= 4GB
 
 ### 快速启动
 
@@ -209,21 +202,10 @@ docker compose up -d
 
 #### 使用 Terraform 部署
 
-使用 [terraform](https://www.terraform.io/) 一键将 Dify 部署到云平台
-
 ##### Azure Global
+使用 [terraform](https://www.terraform.io/) 一键部署 Dify 到 Azure。
 - [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)
-
 ## Star History
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
@@ -250,7 +232,7 @@ docker compose up -d
 - [GitHub Issues](https://github.com/langgenius/dify/issues)。👉：使用 Dify.AI 时遇到的错误和问题，请参阅[贡献指南](CONTRIBUTING.md)。
 - [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉：关于使用 Dify.AI 的问题。
 - [Discord](https://discord.gg/FngNHpbcY7)。👉：分享您的应用程序并与社区交流。
-- [X(Twitter)](https://twitter.com/dify_ai)。👉：分享您的应用程序并与社区交流。
+- [Twitter](https://twitter.com/dify_ai)。👉：分享您的应用程序并与社区交流。
 - [商业许可](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。👉：有关商业用途许可 Dify.AI 的商业咨询。
  - [微信]() 👉：扫描下方二维码，添加微信好友，备注 Dify，我们将邀请您加入 Dify 社区。  
 <img src="./images/wechat.png" alt="wechat" width="100"/>

README_DE.md

@@ -1,259 +0,0 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<p align="center">
-  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Einführung in Dify Workflow File Upload: Google NotebookLM Podcast nachbilden</a>
-</p>
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Selbstgehostetes</a> ·
-  <a href="https://docs.dify.ai">Dokumentation</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Anfrage an Unternehmen</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="join Reddit"></a>
-    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
-        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
-    <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
-</p>
-
-<p align="center">
-  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
-  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
-  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
-</p>
-
-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
-
-</br>
-
-Der einfachste Weg, den Dify-Server zu starten, ist über [docker compose](docker/docker-compose.yaml). Stellen Sie vor dem Ausführen von Dify mit den folgenden Befehlen sicher, dass [Docker](https://docs.docker.com/get-docker/) und [Docker Compose](https://docs.docker.com/compose/install/) auf Ihrem System installiert sind:
-
-```bash
-cd dify
-cd docker
-cp .env.example .env
-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.
-
-
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
-
-
-
-**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.
-
-**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.
-
-**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>
-
-## 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.
-
-- **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.
-
-- **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.
-
-
-## Immer einen Schritt voraus
-
-Star Dify auf GitHub und lassen Sie sich sofort über neue Releases benachrichtigen.
-
-![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).
-
-Falls Sie eine hochverfügbare Konfiguration einrichten möchten, gibt es von der Community bereitgestellte [Helm Charts](https://helm.sh/) und YAML-Dateien, die es ermöglichen, Dify auf Kubernetes bereitzustellen.
-
-- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
-- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
-
-#### Terraform für die Bereitstellung verwenden
-
-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)
-
-## 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.
-
-
-> 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/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.
-
-**Mitwirkende**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## Star-Geschichte
-
-[![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.
-
-## 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

@@ -15,15 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat en Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="join Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="seguir en X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="seguir en LinkedIn"></a>
+            alt="seguir en Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Descargas de Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -45,7 +39,6 @@
   <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
   <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
   <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
 #
@@ -211,20 +204,10 @@ Si desea configurar una configuración de alta disponibilidad, la comunidad prop
 
 #### Uso de Terraform para el despliegue
 
-Despliega Dify en una plataforma en la nube con un solo clic utilizando [terraform](https://www.terraform.io/)
-
 ##### Azure Global
+Utiliza [terraform](https://www.terraform.io/) para desplegar Dify en Azure con un solo clic.
 - [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)
 
 ## Contribuir
 
@@ -245,7 +228,7 @@ Al mismo tiempo, considera apoyar a Dify compartiéndolo en redes sociales y en
 * [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.
+* [Twitter](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
 
 ## Historial de Estrellas
 
@@ -259,10 +242,3 @@ 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

@@ -15,15 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat sur Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="join Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="suivre sur X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="suivre sur LinkedIn"></a>
+            alt="suivre sur Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Tirages Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -45,7 +39,6 @@
   <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
   <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
   <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
 #
@@ -56,7 +49,7 @@
 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** : 
+**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.
 
 
@@ -64,25 +57,27 @@ Dify est une plateforme de développement d'applications LLM open source. Son in
 
 
 
-**2. Prise en charge complète des modèles** : 
+**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** : 
+**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** : 
+**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** : 
+**5. Capac
+
+ités d'agent**: 
   Vous pouvez définir des agents basés sur l'appel de fonction LLM ou ReAct, et ajouter des outils pré-construits ou personnalisés pour l'agent. Dify fournit plus de 50 outils intégrés pour les agents d'IA, tels que la recherche Google, DALL·E, Stable Diffusion et WolframAlpha.
 
-**6. LLMOps** : 
+**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** : 
+**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.
 
 
@@ -207,20 +202,10 @@ Si vous souhaitez configurer une configuration haute disponibilité, la communau
 
 #### Utilisation de Terraform pour le déploiement
 
-Déployez Dify sur une plateforme cloud en un clic en utilisant [terraform](https://www.terraform.io/)
-
 ##### Azure Global
+Utilisez [terraform](https://www.terraform.io/) pour déployer Dify sur Azure en un clic.
 - [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)
 
 ## Contribuer
 
@@ -241,7 +226,7 @@ Dans le même temps, veuillez envisager de soutenir Dify en le partageant sur le
 * [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.
+* [Twitter](https://twitter.com/dify_ai). Meilleur pour: partager vos applications et passer du temps avec la communauté.
 
 ## Historique des étoiles
 
@@ -255,10 +240,3 @@ 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

@@ -15,15 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="Discordでチャット"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="X(Twitter)でフォロー"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="LinkedInでフォロー"></a>
+            alt="Twitterでフォロー"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -45,7 +39,6 @@
   <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
   <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
   <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
 #
@@ -57,7 +50,7 @@
 DifyはオープンソースのLLMアプリケーション開発プラットフォームです。直感的なインターフェイスには、AIワークフロー、RAGパイプライン、エージェント機能、モデル管理、観測機能などが組み合わさっており、プロトタイプから生産まで迅速に進めることができます。以下の機能が含まれます：
 </br> </br>
 
-**1. ワークフロー**:
+**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。
 
 
@@ -65,25 +58,25 @@ 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
 
 
 
-**2. 総合的なモデルサポート**:
+**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。
 
 ![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
 
-**3. プロンプトIDE**:
+**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。
 
-**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。
+**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ーポイントも提供します。
 
-**5. エージェント機能**:
+**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。
 
-**6. LLMOps**:
+**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。
 
-**7. Backend-as-a-Service**:
+**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。
 
 
@@ -165,7 +158,7 @@ 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
 
 - **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。
+  > 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オファリングどして、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
@@ -178,7 +171,7 @@ GitHub上でDifyにスターを付けることで、Difyに関する新しいニ
 
 ## 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
 
@@ -208,20 +201,10 @@ docker compose up -d
 
 #### Terraformを使用したデプロイ
 
-[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)
+[terraform](https://www.terraform.io/) を使用して、AzureにDifyをワンクリックでデプロイします。
+- [nikawangの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
-
-[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)
 
 ## 貢献
 
@@ -242,7 +225,7 @@ docker compose up -d
 * [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。
+* [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。
 
 
 

README_KL.md

@@ -15,15 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="Follow Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -45,7 +39,6 @@
   <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
   <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
   <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
 #
@@ -88,7 +81,9 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
 
 ## Feature Comparison
 <table style="width: 100%;">
-  <tr>
+  <tr
+
+>
     <th align="center">Feature</th>
     <th align="center">Dify.AI</th>
     <th align="center">LangChain</th>
@@ -207,20 +202,10 @@ If you'd like to configure a highly-available setup, there are community-contrib
 
 #### Terraform atorlugu pilersitsineq
 
-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)
+Atoruk [terraform](https://www.terraform.io/) Dify-mik Azure-mut ataatsikkut ikkussuilluarlugu.
+- [Azure Terraform atorlugu @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)
 
 ## Contributing
 
@@ -243,7 +228,7 @@ At the same time, please consider supporting Dify by sharing it on social media
 ). 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.
+* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
 
 ## Star History
 

README_KR.md

@@ -15,15 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="Follow Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -45,7 +39,7 @@
   <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
   <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
   <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-    <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
+
 </p>
 
 
@@ -201,21 +195,10 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
 
 #### Terraform을 사용한 배포
 
-[terraform](https://www.terraform.io/)을 사용하여 단 한 번의 클릭으로 Dify를 클라우드 플랫폼에 배포하십시오
-
 ##### Azure Global
+[terraform](https://www.terraform.io/)을 사용하여 Azure에 Dify를 원클릭으로 배포하세요.
 - [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)
-
 ## 기여
 
 코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.

README_PT.md

@@ -1,255 +0,0 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<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>
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hospedagem</a> ·
-  <a href="https://docs.dify.ai">Documentação</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariais</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="Follow Reddit"></a>
-    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
-        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
-    <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
-</p>
-
-<p align="center">
-  <a href="./README.md"><img alt="README em Inglês" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./README_ES.md"><img alt="README em Espanhol" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./README_FR.md"><img alt="README em Francês" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="README em Coreano" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-  <a href="./README_AR.md"><img alt="README em Árabe" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
-  <a href="./README_TR.md"><img alt="README em Turco" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
-  <a href="./README_VI.md"><img alt="README em Vietnamita" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_PT.md"><img alt="README em Português - BR" src="https://img.shields.io/badge/Portugu%C3%AAs-BR?style=flat&label=BR&color=d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
-</p>
-
-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.
-
-
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
-
-
-
-**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. 
-
-**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.
-
-**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>
-
-## 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.
-
-- **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.
-
-- **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.
-
-
-## Mantendo-se atualizado
-
-Dê uma estrela no Dify no GitHub e seja notificado imediatamente sobre novos lançamentos.
-
-![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
-
-</br>
-
-A maneira mais fácil de iniciar o servidor Dify é executar nosso arquivo [docker-compose.yml](docker/docker-compose.yaml). Antes de rodar o comando de instalação, certifique-se de que o [Docker](https://docs.docker.com/get-docker/) e o [Docker Compose](https://docs.docker.com/compose/install/) estão instalados na sua máquina:
-
-```bash
-cd docker
-cp .env.example .env
-docker compose up -d
-```
-
-Após a execução, você pode acessar o painel do Dify no navegador em [http://localhost/install](http://localhost/install) e iniciar o processo de inicialização.
-
-> Se você deseja contribuir com o Dify ou fazer desenvolvimento adicional, consulte nosso [guia para implantar a partir do código fonte](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code).
-
-## Próximos passos
-
-Se precisar personalizar a configuração, consulte os comentários no nosso arquivo [.env.example](docker/.env.example) e atualize os valores correspondentes no seu arquivo `.env`. Além disso, talvez seja necessário fazer ajustes no próprio arquivo `docker-compose.yaml`, como alterar versões de imagem, mapeamentos de portas ou montagens de volumes, com base no seu ambiente de implantação específico e nas suas necessidades. Após fazer quaisquer alterações, execute novamente `docker-compose up -d`. Você pode encontrar a lista completa de variáveis de ambiente disponíveis [aqui](https://docs.dify.ai/getting-started/install-self-hosted/environments).
-
-Se deseja configurar uma instalação de alta disponibilidade, há [Helm Charts](https://helm.sh/) e arquivos YAML contribuídos pela comunidade que permitem a implantação do Dify no Kubernetes.
-
-- [Helm Chart de @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
-- [Helm Chart de @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [Arquivo YAML de @Winson-030](https://github.com/Winson-030/dify-kubernetes)
-
-#### Usando o Terraform para Implantação
-
-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)
-
-## Contribuindo
-
-Para aqueles que desejam contribuir com código, veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.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/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).
-
-**Contribuidores**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## 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.
-
-## Histórico de estrelas
-
-[![Gráfico de Histórico de Estrelas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## Divulgação de segurança
-
-Para proteger sua privacidade, evite postar problemas de segurança no GitHub. Em vez disso, envie suas perguntas para security@dify.ai e forneceremos uma resposta mais detalhada.
-
-## Licença
-
-Este repositório está disponível sob a [Licença de Código Aberto Dify](LICENSE), que é essencialmente Apache 2.0 com algumas restrições adicionais.

README_SI.md

@@ -1,258 +0,0 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<p align="center">
-  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast</a>
-</p>
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
-  <a href="https://docs.dify.ai">Dokumentacija</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Povpraševanje za podjetja</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="chat on Discord"></a>
-    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
-        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
-    <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
-</p>
-
-<p align="center">
-  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
-  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
-  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_SI.md"><img alt="README Slovenščina" src="https://img.shields.io/badge/Sloven%C5%A1%C4%8Dina-d9d9d9"></a>
-  <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. 
-
-## Hitri začetek
-> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
-> 
->- CPU >= 2 Core
->- RAM >= 4 GiB
-
-</br>
-
-Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku:
-
-```bash
-cd dify
-cd docker
-cp .env.example .env
-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.
-
-
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
-
-
-
-**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. 
-
-**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.
-
-**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>
-
-## 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.
-
-- **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) .
-
-
-- **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.
-
-
-## Staying ahead
-
-Star Dify on GitHub and be instantly notified of new releases.
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-
-## 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 .
-
-Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes.
-
-- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
-- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
-
-#### Uporaba Terraform za uvajanje
-
-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)
-
-## 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. 
-
-
-
-> 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.
-
-**Contributors**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## Star history
-
-[![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.
-
-## Licenca
-
-To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.

README_TR.md

@@ -15,15 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="Discord'da sohbet et"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="Follow Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="X(Twitter)'da takip et"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="LinkedIn'da takip et"></a>
+            alt="Twitter'da takip et"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Çekmeleri" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -45,7 +39,6 @@
   <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
   <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
   <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
 
@@ -66,6 +59,8 @@ 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)
 
 
+Özür dilerim, haklısınız. Daha anlamlı ve akıcı bir çeviri yapmaya çalışayım. İşte güncellenmiş çeviri:
+
 **3. Prompt IDE**: 
   Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.
 
@@ -152,6 +147,8 @@ Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edi
 ## Dify'ı Kullanma
 
 - **Cloud </br>**
+İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
+- 
 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>**
@@ -177,6 +174,8 @@ GitHub'da Dify'a yıldız verin ve yeni sürümlerden anında haberdar olun.
 >- RAM >= 4GB
 
 </br>
+İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
+
 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:
 
 ```bash
@@ -201,20 +200,9 @@ Yüksek kullanılabilirliğe sahip bir kurulum yapılandırmak isterseniz, Dify'
 
 #### Dağıtım için Terraform Kullanımı
 
-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)
+[Terraform](https://www.terraform.io/) kullanarak Dify'ı Azure'a tek tıklamayla dağıtın.
+- [@nikawang tarafından Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
 
 ## Katkıda Bulunma
 
@@ -234,7 +222,7 @@ Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda p
 * [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.
+* [Twitter](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
 
 ## Star history
 

README_TW.md

@@ -1,258 +0,0 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<p align="center">
-  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">介紹 Dify 工作流程檔案上傳功能：重現 Google NotebookLM Podcast</a>
-</p>
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify 雲端服務</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">自行託管</a> ·
-  <a href="https://docs.dify.ai">說明文件</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業諮詢</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="join Reddit"></a>
-    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
-        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
-    <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
-</p>
-
-<p align="center">
-  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_TW.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
-  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
-  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
-  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
-</p>
-
-Dify 是一個開源的 LLM 應用程式開發平台。其直觀的界面結合了智能代理工作流程、RAG 管道、代理功能、模型管理、可觀察性功能等，讓您能夠快速從原型進展到生產環境。
-
-## 快速開始
-
-> 安裝 Dify 之前，請確保您的機器符合以下最低系統要求：
->
-> - CPU >= 2 核心
-> - 記憶體 >= 4 GiB
-
-</br>
-
-啟動 Dify 伺服器最簡單的方式是透過 [docker compose](docker/docker-compose.yaml)。在使用以下命令運行 Dify 之前，請確保您的機器已安裝 [Docker](https://docs.docker.com/get-docker/) 和 [Docker Compose](https://docs.docker.com/compose/install/)：
-
-```bash
-cd dify
-cd docker
-cp .env.example .env
-docker compose up -d
-```
-
-運行後，您可以在瀏覽器中通過 [http://localhost/install](http://localhost/install) 訪問 Dify 儀表板並開始初始化過程。
-
-### 尋求幫助
-
-如果您在設置 Dify 時遇到問題，請參考我們的 [常見問題](https://docs.dify.ai/getting-started/install-self-hosted/faqs)。如果仍有疑問，請聯絡 [社區和我們](#community--contact)。
-
-> 如果您想為 Dify 做出貢獻或進行額外開發，請參考我們的 [從原始碼部署指南](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
-
-## 核心功能
-
-**1. 工作流程**：
-在視覺化畫布上建立和測試強大的 AI 工作流程，利用以下所有功能及更多。
-
-https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
-
-**2. 全面的模型支援**：
-無縫整合來自數十個推理提供商和自託管解決方案的數百個專有/開源 LLM，涵蓋 GPT、Mistral、Llama3 和任何與 OpenAI API 兼容的模型。您可以在[此處](https://docs.dify.ai/getting-started/readme/model-providers)找到支援的模型提供商完整列表。
-
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
-
-**3. 提示詞 IDE**：
-直觀的界面，用於編寫提示詞、比較模型性能，以及為聊天型應用程式添加文字轉語音等額外功能。
-
-**4. RAG 管道**：
-廣泛的 RAG 功能，涵蓋從文件擷取到檢索的全部流程，內建支援從 PDF、PPT 和其他常見文件格式提取文本。
-
-**5. 代理功能**：
-您可以基於 LLM 函數調用或 ReAct 定義代理，並為代理添加預構建或自定義工具。Dify 為 AI 代理提供 50 多種內建工具，如 Google 搜尋、DALL·E、Stable Diffusion 和 WolframAlpha。
-
-**6. LLMOps**：
-監控並分析應用程式日誌和長期效能。您可以根據生產數據和標註持續改進提示詞、數據集和模型。
-
-**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>
-  > 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
-
-在 GitHub 上為 Dify 加星，即時獲取新版本通知。
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-## 進階設定
-
-如果您需要自定義配置，請參考我們的 [.env.example](docker/.env.example) 文件中的註釋，並在您的 `.env` 文件中更新相應的值。此外，根據您特定的部署環境和需求，您可能需要調整 `docker-compose.yaml` 文件本身，例如更改映像版本、端口映射或卷掛載。進行任何更改後，請重新運行 `docker-compose up -d`。您可以在[這裡](https://docs.dify.ai/getting-started/install-self-hosted/environments)找到可用環境變數的完整列表。
-
-如果您想配置高可用性設置，社區貢獻的 [Helm Charts](https://helm.sh/) 和 YAML 文件允許在 Kubernetes 上部署 Dify。
-
-- [由 @LeoQuote 提供的 Helm Chart](https://github.com/douban/charts/tree/master/charts/dify)
-- [由 @BorisPolonsky 提供的 Helm Chart](https://github.com/BorisPolonsky/dify-helm)
-- [由 @Winson-030 提供的 YAML 文件](https://github.com/Winson-030/dify-kubernetes)
-
-### 使用 Terraform 進行部署
-
-使用 [terraform](https://www.terraform.io/) 一鍵部署 Dify 到雲端平台
-
-### Azure 全球
-
-- [由 @nikawang 提供的 Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
-
-### Google Cloud
-
-- [由 @sotazum 提供的 Google Cloud Terraform](https://github.com/DeNA/dify-google-cloud-terraform)
-
-### 使用 AWS CDK 進行部署
-
-使用 [CDK](https://aws.amazon.com/cdk/) 部署 Dify 到 AWS
-
-### AWS
-
-- [由 @KevinZhao 提供的 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
-
-## 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)。
-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/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。
-
-## 社群與聯絡方式
-
-- [Github Discussion](https://github.com/langgenius/dify/discussions)：最適合分享反饋和提問。
-- [GitHub Issues](https://github.com/langgenius/dify/issues)：最適合報告使用 Dify.AI 時遇到的問題和提出功能建議。請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
-- [Discord](https://discord.gg/FngNHpbcY7)：最適合分享您的應用程式並與社群互動。
-- [X(Twitter)](https://twitter.com/dify_ai)：最適合分享您的應用程式並與社群互動。
-
-**貢獻者**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## 星星歷史
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## 安全揭露
-
-為保護您的隱私，請避免在 GitHub 上發布安全性問題。請將您的問題發送至 security@dify.ai，我們將為您提供更詳細的答覆。
-
-## 授權條款
-
-本代碼庫採用 [Dify 開源授權](LICENSE)，這基本上是 Apache 2.0 授權加上一些額外限制條款。

README_VI.md

@@ -15,15 +15,9 @@
     <a href="https://discord.gg/FngNHpbcY7" target="_blank">
         <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
             alt="chat trên Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="Follow Reddit"></a>
     <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
         <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="theo dõi trên X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="theo dõi trên LinkedIn"></a>
+            alt="theo dõi trên Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
         <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
     <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -45,7 +39,6 @@
   <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
   <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
   <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
 
@@ -203,21 +196,10 @@ Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có
 
 #### Sử dụng Terraform để Triển khai
 
-Triển khai Dify lên nền tảng đám mây với một cú nhấp chuột bằng cách sử dụng [terraform](https://www.terraform.io/)
-
 ##### Azure Global
+Triển khai Dify lên Azure chỉ với một cú nhấp chuột bằng cách sử dụng [terraform](https://www.terraform.io/).
 - [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)
-
 ## 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. 
@@ -237,7 +219,7 @@ Triển khai Dify trên AWS bằng [CDK](https://aws.amazon.com/cdk/)
 * [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.
+* [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
 
@@ -249,4 +231,4 @@ Triển khai Dify trên AWS bằng [CDK](https://aws.amazon.com/cdk/)
 
 ## Giấy phép
 
-Kho lưu trữ này có sẵn theo [Giấy phép Mã nguồn Mở Dify](LICENSE), về cơ bản là Apache 2.0 với một vài hạn chế bổ sung.
+Kho lưu trữ này có sẵn theo [Giấy phép Mã nguồn Mở Dify](LICENSE), về cơ bản là Apache 2.0 với một vài hạn chế bổ sung.

api/.dockerignore

@@ -1,10 +1,7 @@
 .env
 *.env.*
 
-storage/generate_files/*
 storage/privkeys/*
-storage/tools/*
-storage/upload_files/*
 
 # Logs
 logs
@@ -12,8 +9,6 @@ logs
 
 # jetbrains
 .idea
-.mypy_cache
-.ruff_cache
 
 # venv
 .venv

api/.env.example

@@ -20,12 +20,6 @@ FILES_URL=http://127.0.0.1:5001
 # The time in seconds after the signature is rejected
 FILES_ACCESS_TIMEOUT=300
 
-# Access token expiration time in minutes
-ACCESS_TOKEN_EXPIRE_MINUTES=60
-
-# Refresh token expiration time in days
-REFRESH_TOKEN_EXPIRE_DAYS=30
-
 # celery configuration
 CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
 
@@ -34,22 +28,8 @@ REDIS_HOST=localhost
 REDIS_PORT=6379
 REDIS_USERNAME=
 REDIS_PASSWORD=difyai123456
-REDIS_USE_SSL=false
 REDIS_DB=0
 
-# redis Sentinel configuration.
-REDIS_USE_SENTINEL=false
-REDIS_SENTINELS=
-REDIS_SENTINEL_SERVICE_NAME=
-REDIS_SENTINEL_USERNAME=
-REDIS_SENTINEL_PASSWORD=
-REDIS_SENTINEL_SOCKET_TIMEOUT=0.1
-
-# redis Cluster configuration.
-REDIS_USE_CLUSTERS=false
-REDIS_CLUSTERS=
-REDIS_CLUSTERS_PASSWORD=
-
 # PostgreSQL database configuration
 DB_USERNAME=postgres
 DB_PASSWORD=difyai123456
@@ -59,27 +39,20 @@ DB_DATABASE=dify
 
 # Storage configuration
 # use for store upload files, private keys...
-# storage type: opendal, s3, aliyun-oss, azure-blob, baidu-obs, google-storage, huawei-obs, oci-storage, tencent-cos, volcengine-tos, supabase
-STORAGE_TYPE=opendal
-
-# Apache OpenDAL storage configuration, refer to https://github.com/apache/opendal
-OPENDAL_SCHEME=fs
-OPENDAL_FS_ROOT=storage
-
-# S3 Storage configuration
+# storage type: local, s3, azure-blob, google-storage, tencent-cos, huawei-obs, volcengine-tos
+STORAGE_TYPE=local
+STORAGE_LOCAL_PATH=storage
 S3_USE_AWS_MANAGED_IAM=false
-S3_ENDPOINT=https://your-bucket-name.storage.s3.cloudflare.com
+S3_ENDPOINT=https://your-bucket-name.storage.s3.clooudflare.com
 S3_BUCKET_NAME=your-bucket-name
 S3_ACCESS_KEY=your-access-key
 S3_SECRET_KEY=your-secret-key
 S3_REGION=your-region
-
 # Azure Blob Storage configuration
 AZURE_BLOB_ACCOUNT_NAME=your-account-name
 AZURE_BLOB_ACCOUNT_KEY=your-account-key
-AZURE_BLOB_CONTAINER_NAME=your-container-name
+AZURE_BLOB_CONTAINER_NAME=yout-container-name
 AZURE_BLOB_ACCOUNT_URL=https://<your_account_name>.blob.core.windows.net
-
 # Aliyun oss Storage configuration
 ALIYUN_OSS_BUCKET_NAME=your-bucket-name
 ALIYUN_OSS_ACCESS_KEY=your-access-key
@@ -89,9 +62,8 @@ ALIYUN_OSS_AUTH_VERSION=v1
 ALIYUN_OSS_REGION=your-region
 # Don't start with '/'. OSS doesn't support leading slash in object names.
 ALIYUN_OSS_PATH=your-path
-
 # Google Storage configuration
-GOOGLE_STORAGE_BUCKET_NAME=your-bucket-name
+GOOGLE_STORAGE_BUCKET_NAME=yout-bucket-name
 GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64=your-google-service-account-json-base64-string
 
 # Tencent COS Storage configuration
@@ -107,12 +79,6 @@ HUAWEI_OBS_SECRET_KEY=your-secret-key
 HUAWEI_OBS_ACCESS_KEY=your-access-key
 HUAWEI_OBS_SERVER=your-server-url
 
-# Baidu OBS Storage Configuration
-BAIDU_OBS_BUCKET_NAME=your-bucket-name
-BAIDU_OBS_SECRET_KEY=your-secret-key
-BAIDU_OBS_ACCESS_KEY=your-access-key
-BAIDU_OBS_ENDPOINT=your-server-url
-
 # OCI Storage configuration
 OCI_ENDPOINT=your-endpoint
 OCI_BUCKET_NAME=your-bucket-name
@@ -127,17 +93,11 @@ VOLCENGINE_TOS_ACCESS_KEY=your-access-key
 VOLCENGINE_TOS_SECRET_KEY=your-secret-key
 VOLCENGINE_TOS_REGION=your-region
 
-# Supabase Storage Configuration
-SUPABASE_BUCKET_NAME=your-bucket-name
-SUPABASE_API_KEY=your-access-key
-SUPABASE_URL=your-server-url
-
 # CORS configuration
 WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 
-# Vector database configuration
-# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase
+# Vector database configuration, support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector
 VECTOR_STORE=weaviate
 
 # Weaviate configuration
@@ -153,13 +113,6 @@ QDRANT_CLIENT_TIMEOUT=20
 QDRANT_GRPC_ENABLED=false
 QDRANT_GRPC_PORT=6334
 
-#Couchbase configuration
-COUCHBASE_CONNECTION_STRING=127.0.0.1
-COUCHBASE_USER=Administrator
-COUCHBASE_PASSWORD=password
-COUCHBASE_BUCKET_NAME=Embeddings
-COUCHBASE_SCOPE_NAME=_default
-
 # Milvus configuration
 MILVUS_URI=http://127.0.0.1:19530
 MILVUS_TOKEN=
@@ -209,8 +162,6 @@ PGVECTOR_PORT=5433
 PGVECTOR_USER=postgres
 PGVECTOR_PASSWORD=postgres
 PGVECTOR_DATABASE=postgres
-PGVECTOR_MIN_CONNECTION=1
-PGVECTOR_MAX_CONNECTION=5
 
 # Tidb Vector configuration
 TIDB_VECTOR_HOST=xxx.eu-central-1.xxx.aws.tidbcloud.com
@@ -219,20 +170,6 @@ TIDB_VECTOR_USER=xxx.root
 TIDB_VECTOR_PASSWORD=xxxxxx
 TIDB_VECTOR_DATABASE=dify
 
-# Tidb on qdrant configuration
-TIDB_ON_QDRANT_URL=http://127.0.0.1
-TIDB_ON_QDRANT_API_KEY=dify
-TIDB_ON_QDRANT_CLIENT_TIMEOUT=20
-TIDB_ON_QDRANT_GRPC_ENABLED=false
-TIDB_ON_QDRANT_GRPC_PORT=6334
-TIDB_PUBLIC_KEY=dify
-TIDB_PRIVATE_KEY=dify
-TIDB_API_URL=http://127.0.0.1
-TIDB_IAM_API_URL=http://127.0.0.1
-TIDB_REGION=regions/aws-us-east-1
-TIDB_PROJECT_ID=dify
-TIDB_SPEND_LIMIT=100
-
 # Chroma configuration
 CHROMA_HOST=127.0.0.1
 CHROMA_PORT=8000
@@ -250,10 +187,6 @@ ANALYTICDB_ACCOUNT=testaccount
 ANALYTICDB_PASSWORD=testpassword
 ANALYTICDB_NAMESPACE=dify
 ANALYTICDB_NAMESPACE_PASSWORD=difypassword
-ANALYTICDB_HOST=gp-test.aliyuncs.com
-ANALYTICDB_PORT=5432
-ANALYTICDB_MIN_CONNECTION=1
-ANALYTICDB_MAX_CONNECTION=5
 
 # OpenSearch configuration
 OPENSEARCH_HOST=127.0.0.1
@@ -262,54 +195,14 @@ OPENSEARCH_USER=admin
 OPENSEARCH_PASSWORD=admin
 OPENSEARCH_SECURE=true
 
-# Baidu configuration
-BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287
-BAIDU_VECTOR_DB_CONNECTION_TIMEOUT_MS=30000
-BAIDU_VECTOR_DB_ACCOUNT=root
-BAIDU_VECTOR_DB_API_KEY=dify
-BAIDU_VECTOR_DB_DATABASE=dify
-BAIDU_VECTOR_DB_SHARD=1
-BAIDU_VECTOR_DB_REPLICAS=3
-
-# Upstash configuration
-UPSTASH_VECTOR_URL=your-server-url
-UPSTASH_VECTOR_TOKEN=your-access-token
-
-# ViKingDB configuration
-VIKINGDB_ACCESS_KEY=your-ak
-VIKINGDB_SECRET_KEY=your-sk
-VIKINGDB_REGION=cn-shanghai
-VIKINGDB_HOST=api-vikingdb.xxx.volces.com
-VIKINGDB_SCHEMA=http
-VIKINGDB_CONNECTION_TIMEOUT=30
-VIKINGDB_SOCKET_TIMEOUT=30
-
-# Lindorm configuration
-LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:30070
-LINDORM_USERNAME=admin
-LINDORM_PASSWORD=admin
-USING_UGC_INDEX=False
-
-# OceanBase Vector configuration
-OCEANBASE_VECTOR_HOST=127.0.0.1
-OCEANBASE_VECTOR_PORT=2881
-OCEANBASE_VECTOR_USER=root@test
-OCEANBASE_VECTOR_PASSWORD=difyai123456
-OCEANBASE_VECTOR_DATABASE=test
-OCEANBASE_MEMORY_LIMIT=6G
-
-
 # Upload configuration
 UPLOAD_FILE_SIZE_LIMIT=15
 UPLOAD_FILE_BATCH_LIMIT=5
 UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
-UPLOAD_VIDEO_FILE_SIZE_LIMIT=100
-UPLOAD_AUDIO_FILE_SIZE_LIMIT=50
 
-# Model configuration
-MULTIMODAL_SEND_FORMAT=base64
+# Model Configuration
+MULTIMODAL_SEND_IMAGE_FORMAT=base64
 PROMPT_GENERATION_MAX_TOKENS=512
-CODE_GENERATION_MAX_TOKENS=1024
 
 # Mail configuration, support: resend, smtp
 MAIL_TYPE=
@@ -340,23 +233,14 @@ NOTION_INTERNAL_SECRET=you-internal-secret
 ETL_TYPE=dify
 UNSTRUCTURED_API_URL=
 UNSTRUCTURED_API_KEY=
-SCARF_NO_ANALYTICS=true
 
-#ssrf
 SSRF_PROXY_HTTP_URL=
 SSRF_PROXY_HTTPS_URL=
 SSRF_DEFAULT_MAX_RETRIES=3
-SSRF_DEFAULT_TIME_OUT=5
-SSRF_DEFAULT_CONNECT_TIME_OUT=5
-SSRF_DEFAULT_READ_TIME_OUT=5
-SSRF_DEFAULT_WRITE_TIME_OUT=5
 
 BATCH_UPLOAD_LIMIT=10
 KEYWORD_DATA_SOURCE_TYPE=database
 
-# Workflow file upload limit
-WORKFLOW_FILE_UPLOAD_LIMIT=10
-
 # CODE EXECUTION CONFIGURATION
 CODE_EXECUTION_ENDPOINT=http://127.0.0.1:8194
 CODE_EXECUTION_API_KEY=dify-sandbox
@@ -379,36 +263,22 @@ HTTP_REQUEST_MAX_WRITE_TIMEOUT=600
 HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760
 HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576
 
-# Respect X-* headers to redirect clients
-RESPECT_XFORWARD_HEADERS_ENABLED=false
-
 # Log file path
 LOG_FILE=
-# Log file max size, the unit is MB
-LOG_FILE_MAX_SIZE=20
-# Log file max backup count
-LOG_FILE_BACKUP_COUNT=5
-# Log dateformat
-LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S
-# Log Timezone
-LOG_TZ=UTC
-# Log format
-LOG_FORMAT=%(asctime)s,%(msecs)d %(levelname)-2s [%(filename)s:%(lineno)d] %(req_id)s %(message)s
 
 # Indexing configuration
-INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=4000
+INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
 
 # Workflow runtime configuration
 WORKFLOW_MAX_EXECUTION_STEPS=500
 WORKFLOW_MAX_EXECUTION_TIME=1200
 WORKFLOW_CALL_MAX_DEPTH=5
-WORKFLOW_PARALLEL_DEPTH_LIMIT=3
-MAX_VARIABLE_SIZE=204800
 
 # App configuration
 APP_MAX_EXECUTION_TIME=1200
 APP_MAX_ACTIVE_REQUESTS=0
 
+
 # Celery beat configuration
 CELERY_BEAT_SCHEDULER_TIME=1
 
@@ -420,28 +290,3 @@ POSITION_TOOL_EXCLUDES=
 POSITION_PROVIDER_PINS=
 POSITION_PROVIDER_INCLUDES=
 POSITION_PROVIDER_EXCLUDES=
-
-# Plugin configuration
-PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
-PLUGIN_DAEMON_URL=http://127.0.0.1:5002
-PLUGIN_REMOTE_INSTALL_PORT=5003
-PLUGIN_REMOTE_INSTALL_HOST=localhost
-PLUGIN_MAX_PACKAGE_SIZE=15728640
-INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
-
-# Marketplace configuration
-MARKETPLACE_ENABLED=true
-MARKETPLACE_API_URL=https://marketplace.dify.ai
-
-# Endpoint configuration
-ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id}
-
-# Reset password token expiry minutes
-RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
-
-CREATE_TIDB_SERVICE_JOB_ENABLED=false
-
-# Maximum number of submitted thread count in a ThreadPool for parallel node execution
-MAX_SUBMIT_COUNT=100
-# Lockout duration in seconds
-LOGIN_LOCKOUT_DURATION=86400

api/.ruff.toml

@@ -1,95 +0,0 @@
-exclude = [
-    "migrations/*",
-]
-line-length = 120
-
-[format]
-quote-style = "double"
-
-[lint]
-preview = false
-select = [
-    "B", # flake8-bugbear rules
-    "C4", # flake8-comprehensions
-    "E", # pycodestyle E rules
-    "F", # pyflakes rules
-    "FURB", # refurb rules
-    "I", # isort rules
-    "N", # pep8-naming
-    "PT", # flake8-pytest-style rules
-    "PLC0208", # iteration-over-set
-    "PLC0414", # useless-import-alias
-    "PLE0604", # invalid-all-object
-    "PLE0605", # invalid-all-format
-    "PLR0402", # manual-from-import
-    "PLR1711", # useless-return
-    "PLR1714", # repeated-equality-comparison
-    "RUF013", # implicit-optional
-    "RUF019", # unnecessary-key-check
-    "RUF100", # unused-noqa
-    "RUF101", # redirected-noqa
-    "RUF200", # invalid-pyproject-toml
-    "RUF022", # unsorted-dunder-all
-    "S506", # unsafe-yaml-load
-    "SIM", # flake8-simplify rules
-    "TRY400", # error-instead-of-exception
-    "TRY401", # verbose-log-message
-    "UP", # pyupgrade rules
-    "W191", # tab-indentation
-    "W605", # invalid-escape-sequence
-]
-
-ignore = [
-    "E402", # module-import-not-at-top-of-file
-    "E711", # none-comparison
-    "E712", # true-false-comparison
-    "E721", # type-comparison
-    "E722", # bare-except
-    "F821", # undefined-name
-    "F841", # unused-variable
-    "FURB113", # repeated-append
-    "FURB152", # math-constant
-    "UP007", # non-pep604-annotation
-    "UP032", # f-string
-    "UP045", # non-pep604-annotation-optional
-    "B005", # strip-with-multi-characters
-    "B006", # mutable-argument-default
-    "B007", # unused-loop-control-variable
-    "B026", # star-arg-unpacking-after-keyword-arg
-    "B903", # class-as-data-structure
-    "B904", # raise-without-from-inside-except
-    "B905", # zip-without-explicit-strict
-    "N806", # non-lowercase-variable-in-function
-    "N815", # mixed-case-variable-in-class-scope
-    "PT011", # pytest-raises-too-broad
-    "SIM102", # collapsible-if
-    "SIM103", # needless-bool
-    "SIM105", # suppressible-exception
-    "SIM107", # return-in-try-except-finally
-    "SIM108", # if-else-block-instead-of-if-exp
-    "SIM113", # enumerate-for-loop
-    "SIM117", # multiple-with-statements
-    "SIM210", # if-expr-with-true-false
-]
-
-[lint.per-file-ignores]
-"__init__.py" = [
-    "F401", # unused-import
-    "F811", # redefined-while-unused
-]
-"configs/*" = [
-    "N802", # invalid-function-name
-]
-"libs/gmpy2_pkcs10aep_cipher.py" = [
-    "N803", # invalid-argument-name
-]
-"tests/*" = [
-    "F811", # redefined-while-unused
-]
-
-[lint.pyflakes]
-allowed-unused-imports = [
-    "_pytest.monkeypatch",
-    "tests.integration_tests",
-    "tests.unit_tests",
-]

api/.vscode/launch.json.example

@@ -1,15 +1,8 @@
 {
     "version": "0.2.0",
-    "compounds": [
-        {
-            "name": "Launch Flask and Celery",
-            "configurations": ["Python: Flask", "Python: Celery"]
-        }
-    ],
     "configurations": [
         {
             "name": "Python: Flask",
-            "consoleName": "Flask",
             "type": "debugpy",
             "request": "launch",
             "python": "${workspaceFolder}/.venv/bin/python",
@@ -24,12 +17,12 @@
             },
             "args": [
                 "run",
+                "--host=0.0.0.0",
                 "--port=5001"
             ]
         },
         {
             "name": "Python: Celery",
-            "consoleName": "Celery",
             "type": "debugpy",
             "request": "launch",
             "python": "${workspaceFolder}/.venv/bin/python",
@@ -52,10 +45,10 @@
                 "-c",
                 "1",
                 "--loglevel",
-                "DEBUG",
+                "info",
                 "-Q",
                 "dataset,generation,mail,ops_trace,app_deletion"
             ]
-        }
+        },
     ]
-}
+}

api/Dockerfile

@@ -1,10 +1,10 @@
 # base image
-FROM python:3.12-slim-bookworm AS base
+FROM python:3.10-slim-bookworm AS base
 
 WORKDIR /app/api
 
 # Install Poetry
-ENV POETRY_VERSION=2.0.1
+ENV POETRY_VERSION=1.8.3
 
 # if you located in China, you can use aliyun mirror to speed up
 # RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
@@ -48,20 +48,14 @@ ENV TZ=UTC
 
 WORKDIR /app/api
 
-RUN \
-    apt-get update \
-    # Install dependencies
-    && apt-get install -y --no-install-recommends \
-        # basic environment
-        curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
-        # For Security
-        expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
-        # install a chinese font to support the use of tools like matplotlib
-        fonts-noto-cjk \
-        # install a package to improve the accuracy of guessing mime type and file extension
-        media-types \
-        # install libmagic to support the use of python-magic guess MIMETYPE
-        libmagic1 \
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
+    # if you located in China, you can use aliyun mirror to speed up
+    # && echo "deb http://mirrors.aliyun.com/debian testing main" > /etc/apt/sources.list \
+    && echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \
+    && apt-get update \
+    # For Security
+    && apt-get install -y --no-install-recommends zlib1g=1:1.3.dfsg+really1.3.1-1 expat=2.6.3-1 libldap-2.5-0=2.5.18+dfsg-3 perl=5.38.2-5 libsqlite3-0=3.46.0-1 \
     && apt-get autoremove -y \
     && rm -rf /var/lib/apt/lists/*
 
@@ -73,10 +67,6 @@ ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
 # Download nltk data
 RUN python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')"
 
-ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache
-
-RUN python -c "import tiktoken; tiktoken.encoding_for_model('gpt2')"
-
 # Copy source code
 COPY . /app/api/
 
@@ -84,6 +74,7 @@ COPY . /app/api/
 COPY docker/entrypoint.sh /entrypoint.sh
 RUN chmod +x /entrypoint.sh
 
+
 ARG COMMIT_SHA
 ENV COMMIT_SHA=${COMMIT_SHA}
 

api/README.md

@@ -18,17 +18,12 @@
    ```
 
 2. Copy `.env.example` to `.env`
-
-   ```cli
-   cp .env.example .env 
-   ```
 3. 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\\
@@ -37,21 +32,23 @@
 
 4. Create environment.
 
-   Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. First, you need to add the poetry shell plugin, if you don't have it already, in order to run in a virtual environment. [Note: Poetry shell is no longer a native command so you need to install the poetry plugin beforehand]
-
-   ```bash
-   poetry self add poetry-plugin-shell
-   ```
-   
-   Then, You can execute `poetry shell` to activate the environment.
+   Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. You can execute `poetry shell` to activate the environment.
 
 5. Install dependencies
 
    ```bash
-   poetry env use 3.12
+   poetry env use 3.10
    poetry install
    ```
 
+   In case of contributors missing to update dependencies for `pyproject.toml`, you can perform the following shell instead.
+
+   ```bash
+   poetry shell                                               # activate current environment
+   poetry add $(cat requirements.txt)           # install dependencies of production and update pyproject.toml
+   poetry add $(cat requirements-dev.txt) --group dev    # install dependencies of development and update pyproject.toml
+   ```
+
 6. Run migrate
 
    Before the first launch, migrate the database to the latest version.
@@ -68,22 +65,25 @@
 
 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.
+10. If you need to debug local async processing, please start the worker service.
 
    ```bash
    poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion
    ```
 
+   The started celery app handles the async tasks, e.g. dataset importing and documents indexing.
+
 ## Testing
 
 1. Install dependencies for both the backend and the test environment
 
    ```bash
-   poetry install -C api --with dev
+   poetry install --with dev
    ```
 
 2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
 
    ```bash
-   poetry run -P api bash dev/pytest/pytest_all_tests.sh
+   cd ../
+   poetry run -C api bash dev/pytest/pytest_all_tests.sh
    ```

api/app.py

@@ -1,41 +1,312 @@
 import os
+
+if os.environ.get("DEBUG", "false").lower() != "true":
+    from gevent import monkey
+
+    monkey.patch_all()
+
+    import grpc.experimental.gevent
+
+    grpc.experimental.gevent.init_gevent()
+
+import json
+import logging
 import sys
+import threading
+import time
+import warnings
+from logging.handlers import RotatingFileHandler
+
+from flask import Flask, Response, request
+from flask_cors import CORS
+from werkzeug.exceptions import Unauthorized
+
+import contexts
+from commands import register_commands
+from configs import dify_config
+
+# DO NOT REMOVE BELOW
+from events import event_handlers
+from extensions import (
+    ext_celery,
+    ext_code_based_extension,
+    ext_compress,
+    ext_database,
+    ext_hosting_provider,
+    ext_login,
+    ext_mail,
+    ext_migrate,
+    ext_redis,
+    ext_sentry,
+    ext_storage,
+)
+from extensions.ext_database import db
+from extensions.ext_login import login_manager
+from libs.passport import PassportService
+
+# TODO: Find a way to avoid importing models here
+from models import account, dataset, model, source, task, tool, tools, web
+from services.account_service import AccountService
+
+# DO NOT REMOVE ABOVE
 
 
-def is_db_command():
-    if len(sys.argv) > 1 and sys.argv[0].endswith("flask") and sys.argv[1] == "db":
-        return True
-    return False
+warnings.simplefilter("ignore", ResourceWarning)
+
+# fix windows platform
+if os.name == "nt":
+    os.system('tzutil /s "UTC"')
+else:
+    os.environ["TZ"] = "UTC"
+    time.tzset()
+
+
+class DifyApp(Flask):
+    pass
+
+
+# -------------
+# Configuration
+# -------------
+
+
+config_type = os.getenv("EDITION", default="SELF_HOSTED")  # ce edition first
+
+
+# ----------------------------
+# Application Factory Function
+# ----------------------------
+
+
+def create_flask_app_with_configs() -> Flask:
+    """
+    create a raw flask app
+    with configs loaded from .env file
+    """
+    dify_app = DifyApp(__name__)
+    dify_app.config.from_mapping(dify_config.model_dump())
+
+    # populate configs into system environment variables
+    for key, value in dify_app.config.items():
+        if isinstance(value, str):
+            os.environ[key] = value
+        elif isinstance(value, int | float | bool):
+            os.environ[key] = str(value)
+        elif value is None:
+            os.environ[key] = ""
+
+    return dify_app
+
+
+def create_app() -> Flask:
+    app = create_flask_app_with_configs()
+
+    app.secret_key = app.config["SECRET_KEY"]
+
+    log_handlers = None
+    log_file = app.config.get("LOG_FILE")
+    if log_file:
+        log_dir = os.path.dirname(log_file)
+        os.makedirs(log_dir, exist_ok=True)
+        log_handlers = [
+            RotatingFileHandler(
+                filename=log_file,
+                maxBytes=1024 * 1024 * 1024,
+                backupCount=5,
+            ),
+            logging.StreamHandler(sys.stdout),
+        ]
+
+    logging.basicConfig(
+        level=app.config.get("LOG_LEVEL"),
+        format=app.config.get("LOG_FORMAT"),
+        datefmt=app.config.get("LOG_DATEFORMAT"),
+        handlers=log_handlers,
+        force=True,
+    )
+    log_tz = app.config.get("LOG_TZ")
+    if log_tz:
+        from datetime import datetime
+
+        import pytz
+
+        timezone = pytz.timezone(log_tz)
+
+        def time_converter(seconds):
+            return datetime.utcfromtimestamp(seconds).astimezone(timezone).timetuple()
+
+        for handler in logging.root.handlers:
+            handler.formatter.converter = time_converter
+    initialize_extensions(app)
+    register_blueprints(app)
+    register_commands(app)
+
+    return app
+
+
+def initialize_extensions(app):
+    # Since the application instance is now created, pass it to each Flask
+    # extension instance to bind it to the Flask application instance (app)
+    ext_compress.init_app(app)
+    ext_code_based_extension.init()
+    ext_database.init_app(app)
+    ext_migrate.init(app, db)
+    ext_redis.init_app(app)
+    ext_storage.init_app(app)
+    ext_celery.init_app(app)
+    ext_login.init_app(app)
+    ext_mail.init_app(app)
+    ext_hosting_provider.init_app(app)
+    ext_sentry.init_app(app)
+
+
+# Flask-Login configuration
+@login_manager.request_loader
+def load_user_from_request(request_from_flask_login):
+    """Load user based on the request."""
+    if request.blueprint not in {"console", "inner_api"}:
+        return None
+    # Check if the user_id contains a dot, indicating the old format
+    auth_header = request.headers.get("Authorization", "")
+    if not auth_header:
+        auth_token = request.args.get("_token")
+        if not auth_token:
+            raise Unauthorized("Invalid Authorization token.")
+    else:
+        if " " not in auth_header:
+            raise Unauthorized("Invalid Authorization header format. Expected 'Bearer <api-key>' format.")
+        auth_scheme, auth_token = auth_header.split(None, 1)
+        auth_scheme = auth_scheme.lower()
+        if auth_scheme != "bearer":
+            raise Unauthorized("Invalid Authorization header format. Expected 'Bearer <api-key>' format.")
+
+    decoded = PassportService().verify(auth_token)
+    user_id = decoded.get("user_id")
+
+    account = AccountService.load_logged_in_account(account_id=user_id, token=auth_token)
+    if account:
+        contexts.tenant_id.set(account.current_tenant_id)
+    return account
+
+
+@login_manager.unauthorized_handler
+def unauthorized_handler():
+    """Handle unauthorized requests."""
+    return Response(
+        json.dumps({"code": "unauthorized", "message": "Unauthorized."}),
+        status=401,
+        content_type="application/json",
+    )
+
+
+# register blueprint routers
+def register_blueprints(app):
+    from controllers.console import bp as console_app_bp
+    from controllers.files import bp as files_bp
+    from controllers.inner_api import bp as inner_api_bp
+    from controllers.service_api import bp as service_api_bp
+    from controllers.web import bp as web_bp
+
+    CORS(
+        service_api_bp,
+        allow_headers=["Content-Type", "Authorization", "X-App-Code"],
+        methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"],
+    )
+    app.register_blueprint(service_api_bp)
+
+    CORS(
+        web_bp,
+        resources={r"/*": {"origins": app.config["WEB_API_CORS_ALLOW_ORIGINS"]}},
+        supports_credentials=True,
+        allow_headers=["Content-Type", "Authorization", "X-App-Code"],
+        methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"],
+        expose_headers=["X-Version", "X-Env"],
+    )
+
+    app.register_blueprint(web_bp)
+
+    CORS(
+        console_app_bp,
+        resources={r"/*": {"origins": app.config["CONSOLE_CORS_ALLOW_ORIGINS"]}},
+        supports_credentials=True,
+        allow_headers=["Content-Type", "Authorization"],
+        methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"],
+        expose_headers=["X-Version", "X-Env"],
+    )
+
+    app.register_blueprint(console_app_bp)
+
+    CORS(files_bp, allow_headers=["Content-Type"], methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"])
+    app.register_blueprint(files_bp)
+
+    app.register_blueprint(inner_api_bp)
 
 
 # create app
-if is_db_command():
-    from app_factory import create_migrations_app
+app = create_app()
+celery = app.extensions["celery"]
 
-    app = create_migrations_app()
-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  # type: ignore
+if app.config.get("TESTING"):
+    print("App is running in TESTING mode")
 
-        # gevent
-        monkey.patch_all()
 
-        from grpc.experimental import gevent as grpc_gevent  # type: ignore
+@app.after_request
+def after_request(response):
+    """Add Version headers to the response."""
+    response.set_cookie("remember_token", "", expires=0)
+    response.headers.add("X-Version", app.config["CURRENT_VERSION"])
+    response.headers.add("X-Env", app.config["DEPLOY_ENV"])
+    return response
 
-        # grpc gevent
-        grpc_gevent.init_gevent()
 
-        import psycogreen.gevent  # type: ignore
+@app.route("/health")
+def health():
+    return Response(
+        json.dumps({"pid": os.getpid(), "status": "ok", "version": app.config["CURRENT_VERSION"]}),
+        status=200,
+        content_type="application/json",
+    )
 
-        psycogreen.gevent.patch_psycopg()
 
-    from app_factory import create_app
+@app.route("/threads")
+def threads():
+    num_threads = threading.active_count()
+    threads = threading.enumerate()
+
+    thread_list = []
+    for thread in threads:
+        thread_name = thread.name
+        thread_id = thread.ident
+        is_alive = thread.is_alive()
+
+        thread_list.append(
+            {
+                "name": thread_name,
+                "id": thread_id,
+                "is_alive": is_alive,
+            }
+        )
+
+    return {
+        "pid": os.getpid(),
+        "thread_num": num_threads,
+        "threads": thread_list,
+    }
+
+
+@app.route("/db-pool-stat")
+def pool_stat():
+    engine = db.engine
+    return {
+        "pid": os.getpid(),
+        "pool_size": engine.pool.size(),
+        "checked_in_connections": engine.pool.checkedin(),
+        "checked_out_connections": engine.pool.checkedout(),
+        "overflow_connections": engine.pool.overflow(),
+        "connection_timeout": engine.pool.timeout(),
+        "recycle_time": db.engine.pool._recycle,
+    }
 
-    app = create_app()
-    celery = app.extensions["celery"]
 
 if __name__ == "__main__":
     app.run(host="0.0.0.0", port=5001)

api/app_factory.py

@@ -1,108 +0,0 @@
-import logging
-import time
-
-from configs import dify_config
-from contexts.wrapper import RecyclableContextVar
-from dify_app import DifyApp
-
-
-# ----------------------------
-# Application Factory Function
-# ----------------------------
-def create_flask_app_with_configs() -> DifyApp:
-    """
-    create a raw flask app
-    with configs loaded from .env file
-    """
-    dify_app = DifyApp(__name__)
-    dify_app.config.from_mapping(dify_config.model_dump())
-
-    # add before request hook
-    @dify_app.before_request
-    def before_request():
-        # add an unique identifier to each request
-        RecyclableContextVar.increment_thread_recycles()
-
-    return dify_app
-
-
-def create_app() -> DifyApp:
-    start_time = time.perf_counter()
-    app = create_flask_app_with_configs()
-    initialize_extensions(app)
-    end_time = time.perf_counter()
-    if dify_config.DEBUG:
-        logging.info(f"Finished create_app ({round((end_time - start_time) * 1000, 2)} ms)")
-    return app
-
-
-def initialize_extensions(app: DifyApp):
-    from extensions import (
-        ext_app_metrics,
-        ext_blueprints,
-        ext_celery,
-        ext_code_based_extension,
-        ext_commands,
-        ext_compress,
-        ext_database,
-        ext_hosting_provider,
-        ext_import_modules,
-        ext_logging,
-        ext_login,
-        ext_mail,
-        ext_migrate,
-        ext_proxy_fix,
-        ext_redis,
-        ext_sentry,
-        ext_set_secretkey,
-        ext_storage,
-        ext_timezone,
-        ext_warnings,
-    )
-
-    extensions = [
-        ext_timezone,
-        ext_logging,
-        ext_warnings,
-        ext_import_modules,
-        ext_set_secretkey,
-        ext_compress,
-        ext_code_based_extension,
-        ext_database,
-        ext_app_metrics,
-        ext_migrate,
-        ext_redis,
-        ext_storage,
-        ext_celery,
-        ext_login,
-        ext_mail,
-        ext_hosting_provider,
-        ext_sentry,
-        ext_proxy_fix,
-        ext_blueprints,
-        ext_commands,
-    ]
-    for ext in extensions:
-        short_name = ext.__name__.split(".")[-1]
-        is_enabled = ext.is_enabled() if hasattr(ext, "is_enabled") else True
-        if not is_enabled:
-            if dify_config.DEBUG:
-                logging.info(f"Skipped {short_name}")
-            continue
-
-        start_time = time.perf_counter()
-        ext.init_app(app)
-        end_time = time.perf_counter()
-        if dify_config.DEBUG:
-            logging.info(f"Loaded {short_name} ({round((end_time - start_time) * 1000, 2)} ms)")
-
-
-def create_migrations_app():
-    app = create_flask_app_with_configs()
-    from extensions import ext_database, ext_migrate
-
-    # Initialize only required extensions
-    ext_database.init_app(app)
-    ext_migrate.init_app(app)
-
-    return app

api/commands.py

@@ -19,39 +19,37 @@ from extensions.ext_redis import redis_client
 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.account import Tenant
 from models.dataset import Dataset, DatasetCollectionBinding, DocumentSegment
 from models.dataset import Document as DatasetDocument
 from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
 from models.provider import Provider, ProviderModel
 from services.account_service import RegisterService, TenantService
-from services.plugin.data_migration import PluginDataMigration
-from services.plugin.plugin_migration import PluginMigration
 
 
 @click.command("reset-password", help="Reset the account password.")
-@click.option("--email", prompt=True, help="Account email to reset password for")
-@click.option("--new-password", prompt=True, help="New password")
-@click.option("--password-confirm", prompt=True, help="Confirm new password")
+@click.option("--email", prompt=True, help="The email address of the account whose password you need to reset")
+@click.option("--new-password", prompt=True, help="the new password.")
+@click.option("--password-confirm", prompt=True, help="the new password confirm.")
 def reset_password(email, new_password, password_confirm):
     """
     Reset password of owner account
     Only available in SELF_HOSTED mode
     """
     if str(new_password).strip() != str(password_confirm).strip():
-        click.echo(click.style("Passwords do not match.", fg="red"))
+        click.echo(click.style("sorry. The two passwords do not match.", fg="red"))
         return
 
     account = db.session.query(Account).filter(Account.email == email).one_or_none()
 
     if not account:
-        click.echo(click.style("Account not found for email: {}".format(email), fg="red"))
+        click.echo(click.style("sorry. the account: [{}] not exist .".format(email), fg="red"))
         return
 
     try:
         valid_password(new_password)
     except:
-        click.echo(click.style("Invalid password. Must match {}".format(password_pattern), fg="red"))
+        click.echo(click.style("sorry. The passwords must match {} ".format(password_pattern), fg="red"))
         return
 
     # generate password salt
@@ -64,37 +62,37 @@ def reset_password(email, new_password, password_confirm):
     account.password = base64_password_hashed
     account.password_salt = base64_salt
     db.session.commit()
-    click.echo(click.style("Password reset successfully.", fg="green"))
+    click.echo(click.style("Congratulations! Password has been reset.", fg="green"))
 
 
 @click.command("reset-email", help="Reset the account email.")
-@click.option("--email", prompt=True, help="Current account email")
-@click.option("--new-email", prompt=True, help="New email")
-@click.option("--email-confirm", prompt=True, help="Confirm new email")
+@click.option("--email", prompt=True, help="The old email address of the account whose email you need to reset")
+@click.option("--new-email", prompt=True, help="the new email.")
+@click.option("--email-confirm", prompt=True, help="the new email confirm.")
 def reset_email(email, new_email, email_confirm):
     """
     Replace account email
     :return:
     """
     if str(new_email).strip() != str(email_confirm).strip():
-        click.echo(click.style("New emails do not match.", fg="red"))
+        click.echo(click.style("Sorry, new email and confirm email do not match.", fg="red"))
         return
 
     account = db.session.query(Account).filter(Account.email == email).one_or_none()
 
     if not account:
-        click.echo(click.style("Account not found for email: {}".format(email), fg="red"))
+        click.echo(click.style("sorry. the account: [{}] not exist .".format(email), fg="red"))
         return
 
     try:
         email_validate(new_email)
     except:
-        click.echo(click.style("Invalid email: {}".format(new_email), fg="red"))
+        click.echo(click.style("sorry. {} is not a valid email. ".format(email), fg="red"))
         return
 
     account.email = new_email
     db.session.commit()
-    click.echo(click.style("Email updated successfully.", fg="green"))
+    click.echo(click.style("Congratulations!, email has been reset.", fg="green"))
 
 
 @click.command(
@@ -106,7 +104,7 @@ def reset_email(email, new_email, email_confirm):
 )
 @click.confirmation_option(
     prompt=click.style(
-        "Are you sure you want to reset encrypt key pair? This operation cannot be rolled back!", fg="red"
+        "Are you sure you want to reset encrypt key pair? this operation cannot be rolled back!", fg="red"
     )
 )
 def reset_encrypt_key_pair():
@@ -116,13 +114,13 @@ def reset_encrypt_key_pair():
     Only support SELF_HOSTED mode.
     """
     if dify_config.EDITION != "SELF_HOSTED":
-        click.echo(click.style("This command is only for SELF_HOSTED installations.", fg="red"))
+        click.echo(click.style("Sorry, only support SELF_HOSTED mode.", 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"))
+            click.echo(click.style("Sorry, no workspace found. Please enter /install to initialize.", fg="red"))
             return
 
         tenant.encrypt_public_key = generate_key_pair(tenant.id)
@@ -139,7 +137,7 @@ def reset_encrypt_key_pair():
         )
 
 
-@click.command("vdb-migrate", help="Migrate vector db.")
+@click.command("vdb-migrate", help="migrate vector db.")
 @click.option("--scope", default="all", prompt=False, help="The scope of vector database to migrate, Default is All.")
 def vdb_migrate(scope: str):
     if scope in {"knowledge", "all"}:
@@ -152,7 +150,7 @@ def migrate_annotation_vector_database():
     """
     Migrate annotation datas to target vector database .
     """
-    click.echo(click.style("Starting annotation data migration.", fg="green"))
+    click.echo(click.style("Start migrate annotation data.", fg="green"))
     create_count = 0
     skipped_count = 0
     total_count = 0
@@ -161,7 +159,8 @@ def migrate_annotation_vector_database():
         try:
             # get apps info
             apps = (
-                App.query.filter(App.status == "normal")
+                db.session.query(App)
+                .filter(App.status == "normal")
                 .order_by(App.created_at.desc())
                 .paginate(page=page, per_page=50)
             )
@@ -175,14 +174,14 @@ def migrate_annotation_vector_database():
                 f"Processing the {total_count} app {app.id}. " + f"{create_count} created, {skipped_count} skipped."
             )
             try:
-                click.echo("Creating app annotation index: {}".format(app.id))
+                click.echo("Create app annotation index: {}".format(app.id))
                 app_annotation_setting = (
                     db.session.query(AppAnnotationSetting).filter(AppAnnotationSetting.app_id == app.id).first()
                 )
 
                 if not app_annotation_setting:
                     skipped_count = skipped_count + 1
-                    click.echo("App annotation setting disabled: {}".format(app.id))
+                    click.echo("App annotation setting is disabled: {}".format(app.id))
                     continue
                 # get dataset_collection_binding info
                 dataset_collection_binding = (
@@ -191,7 +190,7 @@ def migrate_annotation_vector_database():
                     .first()
                 )
                 if not dataset_collection_binding:
-                    click.echo("App annotation collection binding not found: {}".format(app.id))
+                    click.echo("App annotation collection binding is not exist: {}".format(app.id))
                     continue
                 annotations = db.session.query(MessageAnnotation).filter(MessageAnnotation.app_id == app.id).all()
                 dataset = Dataset(
@@ -212,11 +211,11 @@ def migrate_annotation_vector_database():
                         documents.append(document)
 
                 vector = Vector(dataset, attributes=["doc_id", "annotation_id", "app_id"])
-                click.echo(f"Migrating annotations for app: {app.id}.")
+                click.echo(f"Start to migrate annotation, app_id: {app.id}.")
 
                 try:
                     vector.delete()
-                    click.echo(click.style(f"Deleted vector index for app {app.id}.", fg="green"))
+                    click.echo(click.style(f"Successfully delete vector index for app: {app.id}.", fg="green"))
                 except Exception as e:
                     click.echo(click.style(f"Failed to delete vector index for app {app.id}.", fg="red"))
                     raise e
@@ -224,12 +223,12 @@ def migrate_annotation_vector_database():
                     try:
                         click.echo(
                             click.style(
-                                f"Creating vector index with {len(documents)} annotations for app {app.id}.",
+                                f"Start to created vector index with {len(documents)} annotations for app {app.id}.",
                                 fg="green",
                             )
                         )
                         vector.create(documents)
-                        click.echo(click.style(f"Created vector index for app {app.id}.", fg="green"))
+                        click.echo(click.style(f"Successfully created vector index for app {app.id}.", fg="green"))
                     except Exception as e:
                         click.echo(click.style(f"Failed to created vector index for app {app.id}.", fg="red"))
                         raise e
@@ -238,14 +237,14 @@ def migrate_annotation_vector_database():
             except Exception as e:
                 click.echo(
                     click.style(
-                        "Error creating app annotation index: {} {}".format(e.__class__.__name__, str(e)), fg="red"
+                        "Create app annotation index error: {} {}".format(e.__class__.__name__, str(e)), fg="red"
                     )
                 )
                 continue
 
     click.echo(
         click.style(
-            f"Migration complete. Created {create_count} app annotation indexes. Skipped {skipped_count} apps.",
+            f"Congratulations! Create {create_count} app annotation indexes, and skipped {skipped_count} apps.",
             fg="green",
         )
     )
@@ -255,38 +254,17 @@ def migrate_knowledge_vector_database():
     """
     Migrate vector database datas to target vector database .
     """
-    click.echo(click.style("Starting vector database migration.", fg="green"))
+    click.echo(click.style("Start migrate vector db.", fg="green"))
     create_count = 0
     skipped_count = 0
     total_count = 0
     vector_type = dify_config.VECTOR_STORE
-    upper_collection_vector_types = {
-        VectorType.MILVUS,
-        VectorType.PGVECTOR,
-        VectorType.RELYT,
-        VectorType.WEAVIATE,
-        VectorType.ORACLE,
-        VectorType.ELASTICSEARCH,
-    }
-    lower_collection_vector_types = {
-        VectorType.ANALYTICDB,
-        VectorType.CHROMA,
-        VectorType.MYSCALE,
-        VectorType.PGVECTO_RS,
-        VectorType.TIDB_VECTOR,
-        VectorType.OPENSEARCH,
-        VectorType.TENCENT,
-        VectorType.BAIDU,
-        VectorType.VIKINGDB,
-        VectorType.UPSTASH,
-        VectorType.COUCHBASE,
-        VectorType.OCEANBASE,
-    }
     page = 1
     while True:
         try:
             datasets = (
-                Dataset.query.filter(Dataset.indexing_technique == "high_quality")
+                db.session.query(Dataset)
+                .filter(Dataset.indexing_technique == "high_quality")
                 .order_by(Dataset.created_at.desc())
                 .paginate(page=page, per_page=50)
             )
@@ -300,15 +278,17 @@ def migrate_knowledge_vector_database():
                 f"Processing the {total_count} dataset {dataset.id}. {create_count} created, {skipped_count} skipped."
             )
             try:
-                click.echo("Creating dataset vector database index: {}".format(dataset.id))
+                click.echo("Create dataset vdb index: {}".format(dataset.id))
                 if dataset.index_struct_dict:
                     if dataset.index_struct_dict["type"] == vector_type:
                         skipped_count = skipped_count + 1
                         continue
                 collection_name = ""
-                dataset_id = dataset.id
-                if vector_type in upper_collection_vector_types:
+                if vector_type == VectorType.WEAVIATE:
+                    dataset_id = dataset.id
                     collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": VectorType.WEAVIATE, "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
                 elif vector_type == VectorType.QDRANT:
                     if dataset.collection_binding_id:
                         dataset_collection_binding = (
@@ -319,24 +299,66 @@ def migrate_knowledge_vector_database():
                         if dataset_collection_binding:
                             collection_name = dataset_collection_binding.collection_name
                         else:
-                            raise ValueError("Dataset Collection Binding not found")
+                            raise ValueError("Dataset Collection Bindings is not exist!")
                     else:
+                        dataset_id = dataset.id
                         collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": VectorType.QDRANT, "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
 
-                elif vector_type in lower_collection_vector_types:
-                    collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower()
+                elif vector_type == VectorType.MILVUS:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": VectorType.MILVUS, "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.RELYT:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": "relyt", "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.TENCENT:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": VectorType.TENCENT, "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.PGVECTOR:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": VectorType.PGVECTOR, "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.OPENSEARCH:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": VectorType.OPENSEARCH,
+                        "vector_store": {"class_prefix": collection_name},
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.ANALYTICDB:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": VectorType.ANALYTICDB,
+                        "vector_store": {"class_prefix": collection_name},
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.ELASTICSEARCH:
+                    dataset_id = dataset.id
+                    index_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": "elasticsearch", "vector_store": {"class_prefix": index_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
                 else:
                     raise ValueError(f"Vector store {vector_type} is not supported.")
 
-                index_struct_dict = {"type": vector_type, "vector_store": {"class_prefix": collection_name}}
-                dataset.index_struct = json.dumps(index_struct_dict)
                 vector = Vector(dataset)
-                click.echo(f"Migrating dataset {dataset.id}.")
+                click.echo(f"Start to migrate dataset {dataset.id}.")
 
                 try:
                     vector.delete()
                     click.echo(
-                        click.style(f"Deleted vector index {collection_name} for dataset {dataset.id}.", fg="green")
+                        click.style(
+                            f"Successfully delete vector index {collection_name} for dataset {dataset.id}.", fg="green"
+                        )
                     )
                 except Exception as e:
                     click.echo(
@@ -388,13 +410,15 @@ def migrate_knowledge_vector_database():
                     try:
                         click.echo(
                             click.style(
-                                f"Creating vector index with {len(documents)} documents of {segments_count}"
+                                f"Start to created vector index with {len(documents)} documents of {segments_count}"
                                 f" segments for dataset {dataset.id}.",
                                 fg="green",
                             )
                         )
                         vector.create(documents)
-                        click.echo(click.style(f"Created vector index for dataset {dataset.id}.", fg="green"))
+                        click.echo(
+                            click.style(f"Successfully created vector index for dataset {dataset.id}.", fg="green")
+                        )
                     except Exception as e:
                         click.echo(click.style(f"Failed to created vector index for dataset {dataset.id}.", fg="red"))
                         raise e
@@ -405,13 +429,13 @@ def migrate_knowledge_vector_database():
             except Exception as e:
                 db.session.rollback()
                 click.echo(
-                    click.style("Error creating dataset index: {} {}".format(e.__class__.__name__, str(e)), fg="red")
+                    click.style("Create dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red")
                 )
                 continue
 
     click.echo(
         click.style(
-            f"Migration complete. Created {create_count} dataset indexes. Skipped {skipped_count} datasets.", fg="green"
+            f"Congratulations! Create {create_count} dataset indexes, and skipped {skipped_count} datasets.", fg="green"
         )
     )
 
@@ -421,7 +445,7 @@ def convert_to_agent_apps():
     """
     Convert Agent Assistant to Agent App.
     """
-    click.echo(click.style("Starting convert to agent apps.", fg="green"))
+    click.echo(click.style("Start convert to agent apps.", fg="green"))
 
     proceeded_app_ids = []
 
@@ -429,14 +453,14 @@ def convert_to_agent_apps():
         # fetch first 1000 apps
         sql_query = """SELECT a.id AS id FROM apps a
             INNER JOIN app_model_configs am ON a.app_model_config_id=am.id
-            WHERE a.mode = 'chat'
-            AND am.agent_mode is not null
+            WHERE a.mode = 'chat' 
+            AND am.agent_mode is not null 
             AND (
-				am.agent_mode like '%"strategy": "function_call"%'
+				am.agent_mode like '%"strategy": "function_call"%' 
                 OR am.agent_mode  like '%"strategy": "react"%'
-			)
+			) 
             AND (
-				am.agent_mode like '{"enabled": true%'
+				am.agent_mode like '{"enabled": true%' 
                 OR am.agent_mode like '{"max_iteration": %'
 			) ORDER BY a.created_at DESC LIMIT 1000
         """
@@ -450,8 +474,7 @@ def convert_to_agent_apps():
                 if app_id not in proceeded_app_ids:
                     proceeded_app_ids.append(app_id)
                     app = db.session.query(App).filter(App.id == app_id).first()
-                    if app is not None:
-                        apps.append(app)
+                    apps.append(app)
 
             if len(apps) == 0:
                 break
@@ -473,23 +496,23 @@ def convert_to_agent_apps():
             except Exception as e:
                 click.echo(click.style("Convert app error: {} {}".format(e.__class__.__name__, str(e)), fg="red"))
 
-    click.echo(click.style("Conversion complete. Converted {} agent apps.".format(len(proceeded_app_ids)), fg="green"))
+    click.echo(click.style("Congratulations! Converted {} agent apps.".format(len(proceeded_app_ids)), fg="green"))
 
 
-@click.command("add-qdrant-doc-id-index", help="Add Qdrant doc_id index.")
-@click.option("--field", default="metadata.doc_id", prompt=False, help="Index field , default is metadata.doc_id.")
+@click.command("add-qdrant-doc-id-index", help="add qdrant doc_id index.")
+@click.option("--field", default="metadata.doc_id", prompt=False, help="index field , default is metadata.doc_id.")
 def add_qdrant_doc_id_index(field: str):
-    click.echo(click.style("Starting Qdrant doc_id index creation.", fg="green"))
+    click.echo(click.style("Start add qdrant doc_id index.", fg="green"))
     vector_type = dify_config.VECTOR_STORE
     if vector_type != "qdrant":
-        click.echo(click.style("This command only supports Qdrant vector store.", fg="red"))
+        click.echo(click.style("Sorry, only support qdrant vector store.", fg="red"))
         return
     create_count = 0
 
     try:
         bindings = db.session.query(DatasetCollectionBinding).all()
         if not bindings:
-            click.echo(click.style("No dataset collection bindings found.", fg="red"))
+            click.echo(click.style("Sorry, no dataset collection bindings found.", fg="red"))
             return
         import qdrant_client
         from qdrant_client.http.exceptions import UnexpectedResponse
@@ -499,7 +522,7 @@ def add_qdrant_doc_id_index(field: str):
 
         for binding in bindings:
             if dify_config.QDRANT_URL is None:
-                raise ValueError("Qdrant URL is required.")
+                raise ValueError("Qdrant url is required.")
             qdrant_config = QdrantConfig(
                 endpoint=dify_config.QDRANT_URL,
                 api_key=dify_config.QDRANT_API_KEY,
@@ -516,39 +539,41 @@ def add_qdrant_doc_id_index(field: str):
             except UnexpectedResponse as e:
                 # Collection does not exist, so return
                 if e.status_code == 404:
-                    click.echo(click.style(f"Collection not found: {binding.collection_name}.", fg="red"))
+                    click.echo(
+                        click.style(f"Collection not found, collection_name:{binding.collection_name}.", fg="red")
+                    )
                     continue
                 # Some other error occurred, so re-raise the exception
                 else:
                     click.echo(
                         click.style(
-                            f"Failed to create Qdrant index for collection: {binding.collection_name}.", fg="red"
+                            f"Failed to create qdrant index, collection_name:{binding.collection_name}.", fg="red"
                         )
                     )
 
-    except Exception:
-        click.echo(click.style("Failed to create Qdrant client.", fg="red"))
+    except Exception as e:
+        click.echo(click.style("Failed to create qdrant client.", fg="red"))
 
-    click.echo(click.style(f"Index creation complete. Created {create_count} collection indexes.", fg="green"))
+    click.echo(click.style(f"Congratulations! Create {create_count} collection indexes.", fg="green"))
 
 
 @click.command("create-tenant", help="Create account and tenant.")
-@click.option("--email", prompt=True, help="Tenant account email.")
-@click.option("--name", prompt=True, help="Workspace name.")
+@click.option("--email", prompt=True, help="The email address of the tenant account.")
+@click.option("--name", prompt=True, help="The workspace name of the tenant account.")
 @click.option("--language", prompt=True, help="Account language, default: en-US.")
 def create_tenant(email: str, language: Optional[str] = None, name: Optional[str] = None):
     """
     Create tenant account
     """
     if not email:
-        click.echo(click.style("Email is required.", fg="red"))
+        click.echo(click.style("Sorry, email is required.", fg="red"))
         return
 
     # Create account
     email = email.strip()
 
     if "@" not in email:
-        click.echo(click.style("Invalid email address.", fg="red"))
+        click.echo(click.style("Sorry, invalid email address.", fg="red"))
         return
 
     account_name = email.split("@")[0]
@@ -556,47 +581,41 @@ def create_tenant(email: str, language: Optional[str] = None, name: Optional[str
     if language not in languages:
         language = "en-US"
 
-    # Validates name encoding for non-Latin characters.
-    name = name.strip().encode("utf-8").decode("utf-8") if name else None
+    name = name.strip()
 
     # generate random password
     new_password = secrets.token_urlsafe(16)
 
     # register account
-    account = RegisterService.register(
-        email=email,
-        name=account_name,
-        password=new_password,
-        language=language,
-        create_workspace_required=False,
-    )
+    account = RegisterService.register(email=email, name=account_name, password=new_password, language=language)
+
     TenantService.create_owner_tenant_if_not_exist(account, name)
 
     click.echo(
         click.style(
-            "Account and tenant created.\nAccount: {}\nPassword: {}".format(email, new_password),
+            "Congratulations! Account and tenant created.\nAccount: {}\nPassword: {}".format(email, new_password),
             fg="green",
         )
     )
 
 
-@click.command("upgrade-db", help="Upgrade the database")
+@click.command("upgrade-db", help="upgrade the database")
 def upgrade_db():
     click.echo("Preparing database migration...")
     lock = redis_client.lock(name="db_upgrade_lock", timeout=60)
     if lock.acquire(blocking=False):
         try:
-            click.echo(click.style("Starting database migration.", fg="green"))
+            click.echo(click.style("Start database migration.", fg="green"))
 
             # run db migration
-            import flask_migrate  # type: ignore
+            import flask_migrate
 
             flask_migrate.upgrade()
 
             click.echo(click.style("Database migration successful!", fg="green"))
 
-        except Exception:
-            logging.exception("Failed to execute database migration")
+        except Exception as e:
+            logging.exception(f"Database migration failed, error: {e}")
         finally:
             lock.release()
     else:
@@ -608,7 +627,7 @@ def fix_app_site_missing():
     """
     Fix app related site missing issue.
     """
-    click.echo(click.style("Starting fix for missing app-related sites.", fg="green"))
+    click.echo(click.style("Start fix app related site missing issue.", fg="green"))
 
     failed_app_ids = []
     while True:
@@ -627,93 +646,35 @@ where sites.id is null limit 1000"""
 
                 try:
                     app = db.session.query(App).filter(App.id == app_id).first()
-                    if not app:
-                        print(f"App {app_id} not found")
-                        continue
-
                     tenant = app.tenant
                     if tenant:
                         accounts = tenant.get_accounts()
                         if not accounts:
-                            print("Fix failed for app {}".format(app.id))
+                            print("Fix app {} failed.".format(app.id))
                             continue
 
                         account = accounts[0]
-                        print("Fixing missing site for app {}".format(app.id))
+                        print("Fix app {} related site missing issue.".format(app.id))
                         app_was_created.send(app, account=account)
-                except Exception:
+                except Exception as e:
                     failed_app_ids.append(app_id)
-                    click.echo(click.style("Failed to fix missing site for app {}".format(app_id), fg="red"))
-                    logging.exception(f"Failed to fix app related site missing issue, app_id: {app_id}")
+                    click.echo(click.style("Fix app {} related site missing issue failed!".format(app_id), fg="red"))
+                    logging.exception(f"Fix app related site missing issue failed, error: {e}")
                     continue
 
             if not processed_count:
                 break
 
-    click.echo(click.style("Fix for missing app-related sites completed successfully!", fg="green"))
+    click.echo(click.style("Congratulations! Fix app related site missing issue successful!", fg="green"))
 
 
-@click.command("migrate-data-for-plugin", help="Migrate data for plugin.")
-def migrate_data_for_plugin():
-    """
-    Migrate data for plugin.
-    """
-    click.echo(click.style("Starting migrate data for plugin.", fg="white"))
-
-    PluginDataMigration.migrate()
-
-    click.echo(click.style("Migrate data for plugin completed.", fg="green"))
-
-
-@click.command("extract-plugins", help="Extract plugins.")
-@click.option("--output_file", prompt=True, help="The file to store the extracted plugins.", default="plugins.jsonl")
-@click.option("--workers", prompt=True, help="The number of workers to extract plugins.", default=10)
-def extract_plugins(output_file: str, workers: int):
-    """
-    Extract plugins.
-    """
-    click.echo(click.style("Starting extract plugins.", fg="white"))
-
-    PluginMigration.extract_plugins(output_file, workers)
-
-    click.echo(click.style("Extract plugins completed.", fg="green"))
-
-
-@click.command("extract-unique-identifiers", help="Extract unique identifiers.")
-@click.option(
-    "--output_file",
-    prompt=True,
-    help="The file to store the extracted unique identifiers.",
-    default="unique_identifiers.json",
-)
-@click.option(
-    "--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl"
-)
-def extract_unique_plugins(output_file: str, input_file: str):
-    """
-    Extract unique plugins.
-    """
-    click.echo(click.style("Starting extract unique plugins.", fg="white"))
-
-    PluginMigration.extract_unique_plugins_to_file(input_file, output_file)
-
-    click.echo(click.style("Extract unique plugins completed.", fg="green"))
-
-
-@click.command("install-plugins", help="Install 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_plugins(input_file: str, output_file: str, workers: int):
-    """
-    Install plugins.
-    """
-    click.echo(click.style("Starting install plugins.", fg="white"))
-
-    PluginMigration.install_plugins(input_file, output_file, workers)
-
-    click.echo(click.style("Install plugins completed.", fg="green"))
+def register_commands(app):
+    app.cli.add_command(reset_password)
+    app.cli.add_command(reset_email)
+    app.cli.add_command(reset_encrypt_key_pair)
+    app.cli.add_command(vdb_migrate)
+    app.cli.add_command(convert_to_agent_apps)
+    app.cli.add_command(add_qdrant_doc_id_index)
+    app.cli.add_command(create_tenant)
+    app.cli.add_command(upgrade_db)
+    app.cli.add_command(fix_app_site_missing)

api/configs/app_config.py

@@ -1,51 +1,11 @@
-import logging
-from typing import Any
+from pydantic_settings import SettingsConfigDict
 
-from pydantic.fields import FieldInfo
-from pydantic_settings import BaseSettings, PydanticBaseSettingsSource, SettingsConfigDict
-
-from .deploy import DeploymentConfig
-from .enterprise import EnterpriseFeatureConfig
-from .extra import ExtraServiceConfig
-from .feature import FeatureConfig
-from .middleware import MiddlewareConfig
-from .packaging import PackagingInfo
-from .remote_settings_sources import RemoteSettingsSource, RemoteSettingsSourceConfig, RemoteSettingsSourceName
-from .remote_settings_sources.apollo import ApolloSettingsSource
-
-logger = logging.getLogger(__name__)
-
-
-class RemoteSettingsSourceFactory(PydanticBaseSettingsSource):
-    def __init__(self, settings_cls: type[BaseSettings]):
-        super().__init__(settings_cls)
-
-    def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
-        raise NotImplementedError
-
-    def __call__(self) -> dict[str, Any]:
-        current_state = self.current_state
-        remote_source_name = current_state.get("REMOTE_SETTINGS_SOURCE_NAME")
-        if not remote_source_name:
-            return {}
-
-        remote_source: RemoteSettingsSource | None = None
-        match remote_source_name:
-            case RemoteSettingsSourceName.APOLLO:
-                remote_source = ApolloSettingsSource(current_state)
-            case _:
-                logger.warning(f"Unsupported remote source: {remote_source_name}")
-                return {}
-
-        d: dict[str, Any] = {}
-
-        for field_name, field in self.settings_cls.model_fields.items():
-            field_value, field_key, value_is_complex = remote_source.get_field_value(field, field_name)
-            field_value = remote_source.prepare_field_value(field_name, field, field_value, value_is_complex)
-            if field_value is not None:
-                d[field_key] = field_value
-
-        return d
+from configs.deploy import DeploymentConfig
+from configs.enterprise import EnterpriseFeatureConfig
+from configs.extra import ExtraServiceConfig
+from configs.feature import FeatureConfig
+from configs.middleware import MiddlewareConfig
+from configs.packaging import PackagingInfo
 
 
 class DifyConfig(
@@ -59,8 +19,6 @@ class DifyConfig(
     MiddlewareConfig,
     # Extra service configs
     ExtraServiceConfig,
-    # Remote source configs
-    RemoteSettingsSourceConfig,
     # Enterprise feature configs
     # **Before using, please contact business@dify.ai by email to inquire about licensing matters.**
     EnterpriseFeatureConfig,
@@ -69,6 +27,7 @@ class DifyConfig(
         # read from dotenv format config file
         env_file=".env",
         env_file_encoding="utf-8",
+        frozen=True,
         # ignore extra attributes
         extra="ignore",
     )
@@ -77,20 +36,3 @@ class DifyConfig(
     # please consider to arrange it in the proper config group of existed or added
     # for better readability and maintainability.
     # Thanks for your concentration and consideration.
-
-    @classmethod
-    def settings_customise_sources(
-        cls,
-        settings_cls: type[BaseSettings],
-        init_settings: PydanticBaseSettingsSource,
-        env_settings: PydanticBaseSettingsSource,
-        dotenv_settings: PydanticBaseSettingsSource,
-        file_secret_settings: PydanticBaseSettingsSource,
-    ) -> tuple[PydanticBaseSettingsSource, ...]:
-        return (
-            init_settings,
-            env_settings,
-            RemoteSettingsSourceFactory(settings_cls),
-            dotenv_settings,
-            file_secret_settings,
-        )

api/configs/deploy/__init__.py

@@ -4,25 +4,30 @@ from pydantic_settings import BaseSettings
 
 class DeploymentConfig(BaseSettings):
     """
-    Configuration settings for application deployment
+    Deployment configs
     """
 
     APPLICATION_NAME: str = Field(
-        description="Name of the application, used for identification and logging purposes",
+        description="application name",
         default="langgenius/dify",
     )
 
     DEBUG: bool = Field(
-        description="Enable debug mode for additional logging and development features",
+        description="whether to enable debug mode.",
+        default=False,
+    )
+
+    TESTING: bool = Field(
+        description="",
         default=False,
     )
 
     EDITION: str = Field(
-        description="Deployment edition of the application (e.g., 'SELF_HOSTED', 'CLOUD')",
+        description="deployment edition",
         default="SELF_HOSTED",
     )
 
     DEPLOY_ENV: str = Field(
-        description="Deployment environment (e.g., 'PRODUCTION', 'DEVELOPMENT'), default to PRODUCTION",
+        description="deployment environment, default to PRODUCTION.",
         default="PRODUCTION",
     )

api/configs/enterprise/__init__.py

@@ -4,17 +4,17 @@ from pydantic_settings import BaseSettings
 
 class EnterpriseFeatureConfig(BaseSettings):
     """
-    Configuration for enterprise-level features.
+    Enterprise feature configs.
     **Before using, please contact business@dify.ai by email to inquire about licensing matters.**
     """
 
     ENTERPRISE_ENABLED: bool = Field(
-        description="Enable or disable enterprise-level features."
+        description="whether to enable enterprise features."
         "Before using, please contact business@dify.ai by email to inquire about licensing matters.",
         default=False,
     )
 
     CAN_REPLACE_LOGO: bool = Field(
-        description="Allow customization of the enterprise logo.",
+        description="whether to allow replacing enterprise logo.",
         default=False,
     )

api/configs/extra/notion_config.py

@@ -6,31 +6,30 @@ from pydantic_settings import BaseSettings
 
 class NotionConfig(BaseSettings):
     """
-    Configuration settings for Notion integration
+    Notion integration configs
     """
 
     NOTION_CLIENT_ID: Optional[str] = Field(
-        description="Client ID for Notion API authentication. Required for OAuth 2.0 flow.",
+        description="Notion client ID",
         default=None,
     )
 
     NOTION_CLIENT_SECRET: Optional[str] = Field(
-        description="Client secret for Notion API authentication. Required for OAuth 2.0 flow.",
+        description="Notion client secret key",
         default=None,
     )
 
     NOTION_INTEGRATION_TYPE: Optional[str] = Field(
-        description="Type of Notion integration."
-        " Set to 'internal' for internal integrations, or None for public integrations.",
+        description="Notion integration type, default to None, available values: internal.",
         default=None,
     )
 
     NOTION_INTERNAL_SECRET: Optional[str] = Field(
-        description="Secret key for internal Notion integrations. Required when NOTION_INTEGRATION_TYPE is 'internal'.",
+        description="Notion internal secret key",
         default=None,
     )
 
     NOTION_INTEGRATION_TOKEN: Optional[str] = Field(
-        description="Integration token for Notion API access. Used for direct API calls without OAuth flow.",
+        description="Notion integration token",
         default=None,
     )

api/configs/extra/sentry_config.py

@@ -6,23 +6,20 @@ from pydantic_settings import BaseSettings
 
 class SentryConfig(BaseSettings):
     """
-    Configuration settings for Sentry error tracking and performance monitoring
+    Sentry configs
     """
 
     SENTRY_DSN: Optional[str] = Field(
-        description="Sentry Data Source Name (DSN)."
-        " This is the unique identifier of your Sentry project, used to send events to the correct project.",
+        description="Sentry DSN",
         default=None,
     )
 
     SENTRY_TRACES_SAMPLE_RATE: NonNegativeFloat = Field(
-        description="Sample rate for Sentry performance monitoring traces."
-        " Value between 0.0 and 1.0, where 1.0 means 100% of traces are sent to Sentry.",
+        description="Sentry trace sample rate",
         default=1.0,
     )
 
     SENTRY_PROFILES_SAMPLE_RATE: NonNegativeFloat = Field(
-        description="Sample rate for Sentry profiling."
-        " Value between 0.0 and 1.0, where 1.0 means 100% of profiles are sent to Sentry.",
+        description="Sentry profiles sample rate",
         default=1.0,
     )

api/configs/feature/hosted_service/__init__.py

@@ -1,67 +1,36 @@
 from typing import Optional
 
-from pydantic import Field, NonNegativeInt, computed_field
+from pydantic import Field, NonNegativeInt
 from pydantic_settings import BaseSettings
 
 
-class HostedCreditConfig(BaseSettings):
-    HOSTED_MODEL_CREDIT_CONFIG: str = Field(
-        description="Model credit configuration in format 'model:credits,model:credits', e.g., 'gpt-4:20,gpt-4o:10'",
-        default="",
-    )
-
-    def get_model_credits(self, model_name: str) -> int:
-        """
-        Get credit value for a specific model name.
-        Returns 1 if model is not found in configuration (default credit).
-
-        :param model_name: The name of the model to search for
-        :return: The credit value for the model
-        """
-        if not self.HOSTED_MODEL_CREDIT_CONFIG:
-            return 1
-
-        try:
-            credit_map = dict(
-                item.strip().split(":", 1) for item in self.HOSTED_MODEL_CREDIT_CONFIG.split(",") if ":" in item
-            )
-
-            # Search for matching model pattern
-            for pattern, credit in credit_map.items():
-                if pattern.strip() == model_name:
-                    return int(credit)
-            return 1  # Default quota if no match found
-        except (ValueError, AttributeError):
-            return 1  # Return default quota if parsing fails
-
-
 class HostedOpenAiConfig(BaseSettings):
     """
-    Configuration for hosted OpenAI service
+    Hosted OpenAI service config
     """
 
     HOSTED_OPENAI_API_KEY: Optional[str] = Field(
-        description="API key for hosted OpenAI service",
+        description="",
         default=None,
     )
 
     HOSTED_OPENAI_API_BASE: Optional[str] = Field(
-        description="Base URL for hosted OpenAI API",
+        description="",
         default=None,
     )
 
     HOSTED_OPENAI_API_ORGANIZATION: Optional[str] = Field(
-        description="Organization ID for hosted OpenAI service",
+        description="",
         default=None,
     )
 
     HOSTED_OPENAI_TRIAL_ENABLED: bool = Field(
-        description="Enable trial access to hosted OpenAI service",
+        description="",
         default=False,
     )
 
     HOSTED_OPENAI_TRIAL_MODELS: str = Field(
-        description="Comma-separated list of available models for trial access",
+        description="",
         default="gpt-3.5-turbo,"
         "gpt-3.5-turbo-1106,"
         "gpt-3.5-turbo-instruct,"
@@ -73,17 +42,17 @@ class HostedOpenAiConfig(BaseSettings):
     )
 
     HOSTED_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field(
-        description="Quota limit for hosted OpenAI service usage",
+        description="",
         default=200,
     )
 
     HOSTED_OPENAI_PAID_ENABLED: bool = Field(
-        description="Enable paid access to hosted OpenAI service",
+        description="",
         default=False,
     )
 
     HOSTED_OPENAI_PAID_MODELS: str = Field(
-        description="Comma-separated list of available models for paid access",
+        description="",
         default="gpt-4,"
         "gpt-4-turbo-preview,"
         "gpt-4-turbo-2024-04-09,"
@@ -102,122 +71,124 @@ class HostedOpenAiConfig(BaseSettings):
 
 class HostedAzureOpenAiConfig(BaseSettings):
     """
-    Configuration for hosted Azure OpenAI service
+    Hosted OpenAI service config
     """
 
     HOSTED_AZURE_OPENAI_ENABLED: bool = Field(
-        description="Enable hosted Azure OpenAI service",
+        description="",
         default=False,
     )
 
     HOSTED_AZURE_OPENAI_API_KEY: Optional[str] = Field(
-        description="API key for hosted Azure OpenAI service",
+        description="",
         default=None,
     )
 
     HOSTED_AZURE_OPENAI_API_BASE: Optional[str] = Field(
-        description="Base URL for hosted Azure OpenAI API",
+        description="",
         default=None,
     )
 
     HOSTED_AZURE_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field(
-        description="Quota limit for hosted Azure OpenAI service usage",
+        description="",
         default=200,
     )
 
 
 class HostedAnthropicConfig(BaseSettings):
     """
-    Configuration for hosted Anthropic service
+    Hosted Azure OpenAI service config
     """
 
     HOSTED_ANTHROPIC_API_BASE: Optional[str] = Field(
-        description="Base URL for hosted Anthropic API",
+        description="",
         default=None,
     )
 
     HOSTED_ANTHROPIC_API_KEY: Optional[str] = Field(
-        description="API key for hosted Anthropic service",
+        description="",
         default=None,
     )
 
     HOSTED_ANTHROPIC_TRIAL_ENABLED: bool = Field(
-        description="Enable trial access to hosted Anthropic service",
+        description="",
         default=False,
     )
 
     HOSTED_ANTHROPIC_QUOTA_LIMIT: NonNegativeInt = Field(
-        description="Quota limit for hosted Anthropic service usage",
+        description="",
         default=600000,
     )
 
     HOSTED_ANTHROPIC_PAID_ENABLED: bool = Field(
-        description="Enable paid access to hosted Anthropic service",
+        description="",
         default=False,
     )
 
 
 class HostedMinmaxConfig(BaseSettings):
     """
-    Configuration for hosted Minmax service
+    Hosted Minmax service config
     """
 
     HOSTED_MINIMAX_ENABLED: bool = Field(
-        description="Enable hosted Minmax service",
+        description="",
         default=False,
     )
 
 
 class HostedSparkConfig(BaseSettings):
     """
-    Configuration for hosted Spark service
+    Hosted Spark service config
     """
 
     HOSTED_SPARK_ENABLED: bool = Field(
-        description="Enable hosted Spark service",
+        description="",
         default=False,
     )
 
 
 class HostedZhipuAIConfig(BaseSettings):
     """
-    Configuration for hosted ZhipuAI service
+    Hosted Minmax service config
     """
 
     HOSTED_ZHIPUAI_ENABLED: bool = Field(
-        description="Enable hosted ZhipuAI service",
+        description="",
         default=False,
     )
 
 
 class HostedModerationConfig(BaseSettings):
     """
-    Configuration for hosted Moderation service
+    Hosted Moderation service config
     """
 
     HOSTED_MODERATION_ENABLED: bool = Field(
-        description="Enable hosted Moderation service",
+        description="",
         default=False,
     )
 
     HOSTED_MODERATION_PROVIDERS: str = Field(
-        description="Comma-separated list of moderation providers",
+        description="",
         default="",
     )
 
 
 class HostedFetchAppTemplateConfig(BaseSettings):
     """
-    Configuration for fetching app templates
+    Hosted Moderation service config
     """
 
     HOSTED_FETCH_APP_TEMPLATES_MODE: str = Field(
-        description="Mode for fetching app templates: remote, db, or builtin default to remote,",
+        description="the mode for fetching app templates,"
+        " default to remote,"
+        " available values: remote, db, builtin",
         default="remote",
     )
 
     HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN: str = Field(
-        description="Domain for fetching remote app templates",
+        description="the domain for fetching remote app templates",
         default="https://tmpl.dify.ai",
     )
 
@@ -233,7 +204,5 @@ class HostedServiceConfig(
     HostedZhipuAIConfig,
     # moderation
     HostedModerationConfig,
-    # credit config
-    HostedCreditConfig,
 ):
     pass

api/configs/middleware/__init__.py

@@ -1,136 +1,105 @@
-import os
-from typing import Any, Literal, Optional
+from typing import Any, Optional
 from urllib.parse import quote_plus
 
 from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
 from pydantic_settings import BaseSettings
 
-from .cache.redis_config import RedisConfig
-from .storage.aliyun_oss_storage_config import AliyunOSSStorageConfig
-from .storage.amazon_s3_storage_config import S3StorageConfig
-from .storage.azure_blob_storage_config import AzureBlobStorageConfig
-from .storage.baidu_obs_storage_config import BaiduOBSStorageConfig
-from .storage.google_cloud_storage_config import GoogleCloudStorageConfig
-from .storage.huawei_obs_storage_config import HuaweiCloudOBSStorageConfig
-from .storage.oci_storage_config import OCIStorageConfig
-from .storage.opendal_storage_config import OpenDALStorageConfig
-from .storage.supabase_storage_config import SupabaseStorageConfig
-from .storage.tencent_cos_storage_config import TencentCloudCOSStorageConfig
-from .storage.volcengine_tos_storage_config import VolcengineTOSStorageConfig
-from .vdb.analyticdb_config import AnalyticdbConfig
-from .vdb.baidu_vector_config import BaiduVectorDBConfig
-from .vdb.chroma_config import ChromaConfig
-from .vdb.couchbase_config import CouchbaseConfig
-from .vdb.elasticsearch_config import ElasticsearchConfig
-from .vdb.lindorm_config import LindormConfig
-from .vdb.milvus_config import MilvusConfig
-from .vdb.myscale_config import MyScaleConfig
-from .vdb.oceanbase_config import OceanBaseVectorConfig
-from .vdb.opensearch_config import OpenSearchConfig
-from .vdb.oracle_config import OracleConfig
-from .vdb.pgvector_config import PGVectorConfig
-from .vdb.pgvectors_config import PGVectoRSConfig
-from .vdb.qdrant_config import QdrantConfig
-from .vdb.relyt_config import RelytConfig
-from .vdb.tencent_vector_config import TencentVectorDBConfig
-from .vdb.tidb_on_qdrant_config import TidbOnQdrantConfig
-from .vdb.tidb_vector_config import TiDBVectorConfig
-from .vdb.upstash_config import UpstashConfig
-from .vdb.vikingdb_config import VikingDBConfig
-from .vdb.weaviate_config import WeaviateConfig
+from configs.middleware.cache.redis_config import RedisConfig
+from configs.middleware.storage.aliyun_oss_storage_config import AliyunOSSStorageConfig
+from configs.middleware.storage.amazon_s3_storage_config import S3StorageConfig
+from configs.middleware.storage.azure_blob_storage_config import AzureBlobStorageConfig
+from configs.middleware.storage.google_cloud_storage_config import GoogleCloudStorageConfig
+from configs.middleware.storage.huawei_obs_storage_config import HuaweiCloudOBSStorageConfig
+from configs.middleware.storage.oci_storage_config import OCIStorageConfig
+from configs.middleware.storage.tencent_cos_storage_config import TencentCloudCOSStorageConfig
+from configs.middleware.storage.volcengine_tos_storage_config import VolcengineTOSStorageConfig
+from configs.middleware.vdb.analyticdb_config import AnalyticdbConfig
+from configs.middleware.vdb.chroma_config import ChromaConfig
+from configs.middleware.vdb.elasticsearch_config import ElasticsearchConfig
+from configs.middleware.vdb.milvus_config import MilvusConfig
+from configs.middleware.vdb.myscale_config import MyScaleConfig
+from configs.middleware.vdb.opensearch_config import OpenSearchConfig
+from configs.middleware.vdb.oracle_config import OracleConfig
+from configs.middleware.vdb.pgvector_config import PGVectorConfig
+from configs.middleware.vdb.pgvectors_config import PGVectoRSConfig
+from configs.middleware.vdb.qdrant_config import QdrantConfig
+from configs.middleware.vdb.relyt_config import RelytConfig
+from configs.middleware.vdb.tencent_vector_config import TencentVectorDBConfig
+from configs.middleware.vdb.tidb_vector_config import TiDBVectorConfig
+from configs.middleware.vdb.weaviate_config import WeaviateConfig
 
 
 class StorageConfig(BaseSettings):
-    STORAGE_TYPE: Literal[
-        "opendal",
-        "s3",
-        "aliyun-oss",
-        "azure-blob",
-        "baidu-obs",
-        "google-storage",
-        "huawei-obs",
-        "oci-storage",
-        "tencent-cos",
-        "volcengine-tos",
-        "supabase",
-        "local",
-    ] = Field(
-        description="Type of storage to use."
-        " Options: 'opendal', '(deprecated) local', 's3', 'aliyun-oss', 'azure-blob', 'baidu-obs', 'google-storage', "
-        "'huawei-obs', 'oci-storage', 'tencent-cos', 'volcengine-tos', 'supabase'. Default is 'opendal'.",
-        default="opendal",
+    STORAGE_TYPE: str = Field(
+        description="storage type,"
+        " default to `local`,"
+        " available values are `local`, `s3`, `azure-blob`, `aliyun-oss`, `google-storage`.",
+        default="local",
     )
 
     STORAGE_LOCAL_PATH: str = Field(
-        description="Path for local storage when STORAGE_TYPE is set to 'local'.",
+        description="local storage path",
         default="storage",
-        deprecated=True,
     )
 
 
 class VectorStoreConfig(BaseSettings):
     VECTOR_STORE: Optional[str] = Field(
-        description="Type of vector store to use for efficient similarity search."
-        " Set to None if not using a vector store.",
+        description="vector store type",
         default=None,
     )
 
-    VECTOR_STORE_WHITELIST_ENABLE: Optional[bool] = Field(
-        description="Enable whitelist for vector store.",
-        default=False,
-    )
-
 
 class KeywordStoreConfig(BaseSettings):
     KEYWORD_STORE: str = Field(
-        description="Method for keyword extraction and storage."
-        " Default is 'jieba', a Chinese text segmentation library.",
+        description="keyword store type",
         default="jieba",
     )
 
 
-class DatabaseConfig(BaseSettings):
+class DatabaseConfig:
     DB_HOST: str = Field(
-        description="Hostname or IP address of the database server.",
+        description="db host",
         default="localhost",
     )
 
     DB_PORT: PositiveInt = Field(
-        description="Port number for database connection.",
+        description="db port",
         default=5432,
     )
 
     DB_USERNAME: str = Field(
-        description="Username for database authentication.",
+        description="db username",
         default="postgres",
     )
 
     DB_PASSWORD: str = Field(
-        description="Password for database authentication.",
+        description="db password",
         default="",
     )
 
     DB_DATABASE: str = Field(
-        description="Name of the database to connect to.",
+        description="db database",
         default="dify",
     )
 
     DB_CHARSET: str = Field(
-        description="Character set for database connection.",
+        description="db charset",
         default="",
     )
 
     DB_EXTRAS: str = Field(
-        description="Additional database connection parameters. Example: 'keepalives_idle=60&keepalives=1'",
+        description="db extras options. Example: keepalives_idle=60&keepalives=1",
         default="",
     )
 
     SQLALCHEMY_DATABASE_URI_SCHEME: str = Field(
-        description="Database URI scheme for SQLAlchemy connection.",
+        description="db uri scheme",
         default="postgresql",
     )
 
     @computed_field
+    @property
     def SQLALCHEMY_DATABASE_URI(self) -> str:
         db_extras = (
             f"{self.DB_EXTRAS}&client_encoding={self.DB_CHARSET}" if self.DB_CHARSET else self.DB_EXTRAS
@@ -143,36 +112,32 @@ class DatabaseConfig(BaseSettings):
         )
 
     SQLALCHEMY_POOL_SIZE: NonNegativeInt = Field(
-        description="Maximum number of database connections in the pool.",
+        description="pool size of SqlAlchemy",
         default=30,
     )
 
     SQLALCHEMY_MAX_OVERFLOW: NonNegativeInt = Field(
-        description="Maximum number of connections that can be created beyond the pool_size.",
+        description="max overflows for SqlAlchemy",
         default=10,
     )
 
     SQLALCHEMY_POOL_RECYCLE: NonNegativeInt = Field(
-        description="Number of seconds after which a connection is automatically recycled.",
+        description="SqlAlchemy pool recycle",
         default=3600,
     )
 
     SQLALCHEMY_POOL_PRE_PING: bool = Field(
-        description="If True, enables connection pool pre-ping feature to check connections.",
+        description="whether to enable pool pre-ping in SqlAlchemy",
         default=False,
     )
 
     SQLALCHEMY_ECHO: bool | str = Field(
-        description="If True, SQLAlchemy will log all SQL statements.",
+        description="whether to enable SqlAlchemy echo",
         default=False,
     )
 
-    RETRIEVAL_SERVICE_EXECUTORS: NonNegativeInt = Field(
-        description="Number of processes for the retrieval service, default to CPU cores.",
-        default=os.cpu_count(),
-    )
-
     @computed_field
+    @property
     def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
         return {
             "pool_size": self.SQLALCHEMY_POOL_SIZE,
@@ -185,31 +150,32 @@ class DatabaseConfig(BaseSettings):
 
 class CeleryConfig(DatabaseConfig):
     CELERY_BACKEND: str = Field(
-        description="Backend for Celery task results. Options: 'database', 'redis'.",
+        description="Celery backend, available values are `database`, `redis`",
         default="database",
     )
 
     CELERY_BROKER_URL: Optional[str] = Field(
-        description="URL of the message broker for Celery tasks.",
+        description="CELERY_BROKER_URL",
         default=None,
     )
 
     CELERY_USE_SENTINEL: Optional[bool] = Field(
-        description="Whether to use Redis Sentinel for high availability.",
+        description="Whether to use Redis Sentinel mode",
         default=False,
     )
 
     CELERY_SENTINEL_MASTER_NAME: Optional[str] = Field(
-        description="Name of the Redis Sentinel master.",
+        description="Redis Sentinel master name",
         default=None,
     )
 
     CELERY_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
-        description="Timeout for Redis Sentinel socket operations in seconds.",
+        description="Redis Sentinel socket timeout",
         default=0.1,
     )
 
     @computed_field
+    @property
     def CELERY_RESULT_BACKEND(self) -> str | None:
         return (
             "db+{}".format(self.SQLALCHEMY_DATABASE_URI)
@@ -217,27 +183,12 @@ class CeleryConfig(DatabaseConfig):
             else self.CELERY_BROKER_URL
         )
 
+    @computed_field
     @property
     def BROKER_USE_SSL(self) -> bool:
         return self.CELERY_BROKER_URL.startswith("rediss://") if self.CELERY_BROKER_URL else False
 
 
-class InternalTestConfig(BaseSettings):
-    """
-    Configuration settings for Internal Test
-    """
-
-    AWS_SECRET_ACCESS_KEY: Optional[str] = Field(
-        description="Internal test AWS secret access key",
-        default=None,
-    )
-
-    AWS_ACCESS_KEY_ID: Optional[str] = Field(
-        description="Internal test AWS access key ID",
-        default=None,
-    )
-
-
 class MiddlewareConfig(
     # place the configs in alphabet order
     CeleryConfig,
@@ -248,15 +199,12 @@ class MiddlewareConfig(
     StorageConfig,
     AliyunOSSStorageConfig,
     AzureBlobStorageConfig,
-    BaiduOBSStorageConfig,
     GoogleCloudStorageConfig,
-    HuaweiCloudOBSStorageConfig,
-    OCIStorageConfig,
-    OpenDALStorageConfig,
-    S3StorageConfig,
-    SupabaseStorageConfig,
     TencentCloudCOSStorageConfig,
+    HuaweiCloudOBSStorageConfig,
     VolcengineTOSStorageConfig,
+    S3StorageConfig,
+    OCIStorageConfig,
     # configs of vdb and vdb providers
     VectorStoreConfig,
     AnalyticdbConfig,
@@ -273,13 +221,5 @@ class MiddlewareConfig(
     TiDBVectorConfig,
     WeaviateConfig,
     ElasticsearchConfig,
-    CouchbaseConfig,
-    InternalTestConfig,
-    VikingDBConfig,
-    UpstashConfig,
-    TidbOnQdrantConfig,
-    LindormConfig,
-    OceanBaseVectorConfig,
-    BaiduVectorDBConfig,
 ):
     pass

api/configs/middleware/cache/redis_config.py

@@ -6,80 +6,65 @@ from pydantic_settings import BaseSettings
 
 class RedisConfig(BaseSettings):
     """
-    Configuration settings for Redis connection
+    Redis configs
     """
 
     REDIS_HOST: str = Field(
-        description="Hostname or IP address of the Redis server",
+        description="Redis host",
         default="localhost",
     )
 
     REDIS_PORT: PositiveInt = Field(
-        description="Port number on which the Redis server is listening",
+        description="Redis port",
         default=6379,
     )
 
     REDIS_USERNAME: Optional[str] = Field(
-        description="Username for Redis authentication (if required)",
+        description="Redis username",
         default=None,
     )
 
     REDIS_PASSWORD: Optional[str] = Field(
-        description="Password for Redis authentication (if required)",
+        description="Redis password",
         default=None,
     )
 
     REDIS_DB: NonNegativeInt = Field(
-        description="Redis database number to use (0-15)",
+        description="Redis database id, default to 0",
         default=0,
     )
 
     REDIS_USE_SSL: bool = Field(
-        description="Enable SSL/TLS for the Redis connection",
+        description="whether to use SSL for Redis connection",
         default=False,
     )
 
     REDIS_USE_SENTINEL: Optional[bool] = Field(
-        description="Enable Redis Sentinel mode for high availability",
+        description="Whether to use Redis Sentinel mode",
         default=False,
     )
 
     REDIS_SENTINELS: Optional[str] = Field(
-        description="Comma-separated list of Redis Sentinel nodes (host:port)",
+        description="Redis Sentinel nodes",
         default=None,
     )
 
     REDIS_SENTINEL_SERVICE_NAME: Optional[str] = Field(
-        description="Name of the Redis Sentinel service to monitor",
+        description="Redis Sentinel service name",
         default=None,
     )
 
     REDIS_SENTINEL_USERNAME: Optional[str] = Field(
-        description="Username for Redis Sentinel authentication (if required)",
+        description="Redis Sentinel username",
         default=None,
     )
 
     REDIS_SENTINEL_PASSWORD: Optional[str] = Field(
-        description="Password for Redis Sentinel authentication (if required)",
+        description="Redis Sentinel password",
         default=None,
     )
 
     REDIS_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
-        description="Socket timeout in seconds for Redis Sentinel connections",
+        description="Redis Sentinel socket timeout",
         default=0.1,
     )
-
-    REDIS_USE_CLUSTERS: bool = Field(
-        description="Enable Redis Clusters mode for high availability",
-        default=False,
-    )
-
-    REDIS_CLUSTERS: Optional[str] = Field(
-        description="Comma-separated list of Redis Clusters nodes (host:port)",
-        default=None,
-    )
-
-    REDIS_CLUSTERS_PASSWORD: Optional[str] = Field(
-        description="Password for Redis Clusters authentication (if required)",
-        default=None,
-    )

api/configs/middleware/storage/aliyun_oss_storage_config.py

@@ -6,40 +6,40 @@ from pydantic_settings import BaseSettings
 
 class AliyunOSSStorageConfig(BaseSettings):
     """
-    Configuration settings for Aliyun Object Storage Service (OSS)
+    Aliyun storage configs
     """
 
     ALIYUN_OSS_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the Aliyun OSS bucket to store and retrieve objects",
+        description="Aliyun OSS bucket name",
         default=None,
     )
 
     ALIYUN_OSS_ACCESS_KEY: Optional[str] = Field(
-        description="Access key ID for authenticating with Aliyun OSS",
+        description="Aliyun OSS access key",
         default=None,
     )
 
     ALIYUN_OSS_SECRET_KEY: Optional[str] = Field(
-        description="Secret access key for authenticating with Aliyun OSS",
+        description="Aliyun OSS secret key",
         default=None,
     )
 
     ALIYUN_OSS_ENDPOINT: Optional[str] = Field(
-        description="URL of the Aliyun OSS endpoint for your chosen region",
+        description="Aliyun OSS endpoint URL",
         default=None,
     )
 
     ALIYUN_OSS_REGION: Optional[str] = Field(
-        description="Aliyun OSS region where your bucket is located (e.g., 'oss-cn-hangzhou')",
+        description="Aliyun OSS region",
         default=None,
     )
 
     ALIYUN_OSS_AUTH_VERSION: Optional[str] = Field(
-        description="Version of the authentication protocol to use with Aliyun OSS (e.g., 'v4')",
+        description="Aliyun OSS authentication version",
         default=None,
     )
 
     ALIYUN_OSS_PATH: Optional[str] = Field(
-        description="Base path within the bucket to store objects (e.g., 'my-app-data/')",
+        description="Aliyun OSS path",
         default=None,
     )

api/configs/middleware/storage/amazon_s3_storage_config.py

@@ -6,40 +6,40 @@ from pydantic_settings import BaseSettings
 
 class S3StorageConfig(BaseSettings):
     """
-    Configuration settings for S3-compatible object storage
+    S3 storage configs
     """
 
     S3_ENDPOINT: Optional[str] = Field(
-        description="URL of the S3-compatible storage endpoint (e.g., 'https://s3.amazonaws.com')",
+        description="S3 storage endpoint",
         default=None,
     )
 
     S3_REGION: Optional[str] = Field(
-        description="Region where the S3 bucket is located (e.g., 'us-east-1')",
+        description="S3 storage region",
         default=None,
     )
 
     S3_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the S3 bucket to store and retrieve objects",
+        description="S3 storage bucket name",
         default=None,
     )
 
     S3_ACCESS_KEY: Optional[str] = Field(
-        description="Access key ID for authenticating with the S3 service",
+        description="S3 storage access key",
         default=None,
     )
 
     S3_SECRET_KEY: Optional[str] = Field(
-        description="Secret access key for authenticating with the S3 service",
+        description="S3 storage secret key",
         default=None,
     )
 
     S3_ADDRESS_STYLE: str = Field(
-        description="S3 addressing style: 'auto', 'path', or 'virtual'",
+        description="S3 storage address style",
         default="auto",
     )
 
     S3_USE_AWS_MANAGED_IAM: bool = Field(
-        description="Use AWS managed IAM roles for authentication instead of access/secret keys",
+        description="whether to use aws managed IAM for S3",
         default=False,
     )

api/configs/middleware/storage/azure_blob_storage_config.py

@@ -6,25 +6,25 @@ from pydantic_settings import BaseSettings
 
 class AzureBlobStorageConfig(BaseSettings):
     """
-    Configuration settings for Azure Blob Storage
+    Azure Blob storage configs
     """
 
     AZURE_BLOB_ACCOUNT_NAME: Optional[str] = Field(
-        description="Name of the Azure Storage account (e.g., 'mystorageaccount')",
+        description="Azure Blob account name",
         default=None,
     )
 
     AZURE_BLOB_ACCOUNT_KEY: Optional[str] = Field(
-        description="Access key for authenticating with the Azure Storage account",
+        description="Azure Blob account key",
         default=None,
     )
 
     AZURE_BLOB_CONTAINER_NAME: Optional[str] = Field(
-        description="Name of the Azure Blob container to store and retrieve objects",
+        description="Azure Blob container name",
         default=None,
     )
 
     AZURE_BLOB_ACCOUNT_URL: Optional[str] = Field(
-        description="URL of the Azure Blob storage endpoint (e.g., 'https://mystorageaccount.blob.core.windows.net')",
+        description="Azure Blob account URL",
         default=None,
     )

api/configs/middleware/storage/baidu_obs_storage_config.py

@@ -1,30 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class BaiduOBSStorageConfig(BaseSettings):
-    """
-    Configuration settings for Baidu Object Storage Service (OBS)
-    """
-
-    BAIDU_OBS_BUCKET_NAME: Optional[str] = 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(
-        description="Access Key ID for authenticating with Baidu OBS",
-        default=None,
-    )
-
-    BAIDU_OBS_SECRET_KEY: Optional[str] = Field(
-        description="Secret Access Key for authenticating with Baidu OBS",
-        default=None,
-    )
-
-    BAIDU_OBS_ENDPOINT: Optional[str] = Field(
-        description="URL of the Baidu OSS endpoint for your chosen region (e.g., 'https://.bj.bcebos.com')",
-        default=None,
-    )

api/configs/middleware/storage/google_cloud_storage_config.py

@@ -6,15 +6,15 @@ from pydantic_settings import BaseSettings
 
 class GoogleCloudStorageConfig(BaseSettings):
     """
-    Configuration settings for Google Cloud Storage
+    Google Cloud storage configs
     """
 
     GOOGLE_STORAGE_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the Google Cloud Storage bucket to store and retrieve objects (e.g., 'my-gcs-bucket')",
+        description="Google Cloud storage bucket name",
         default=None,
     )
 
     GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: Optional[str] = Field(
-        description="Base64-encoded JSON key file for Google Cloud service account authentication",
+        description="Google Cloud storage service account json base64",
         default=None,
     )

api/configs/middleware/storage/huawei_obs_storage_config.py

@@ -1,30 +1,29 @@
 from typing import Optional
 
-from pydantic import Field
-from pydantic_settings import BaseSettings
+from pydantic import BaseModel, Field
 
 
-class HuaweiCloudOBSStorageConfig(BaseSettings):
+class HuaweiCloudOBSStorageConfig(BaseModel):
     """
-    Configuration settings for Huawei Cloud Object Storage Service (OBS)
+    Huawei Cloud OBS storage configs
     """
 
     HUAWEI_OBS_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the Huawei Cloud OBS bucket to store and retrieve objects (e.g., 'my-obs-bucket')",
+        description="Huawei Cloud OBS bucket name",
         default=None,
     )
 
     HUAWEI_OBS_ACCESS_KEY: Optional[str] = Field(
-        description="Access Key ID for authenticating with Huawei Cloud OBS",
+        description="Huawei Cloud OBS Access key",
         default=None,
     )
 
     HUAWEI_OBS_SECRET_KEY: Optional[str] = Field(
-        description="Secret Access Key for authenticating with Huawei Cloud OBS",
+        description="Huawei Cloud OBS Secret key",
         default=None,
     )
 
     HUAWEI_OBS_SERVER: Optional[str] = Field(
-        description="Endpoint URL for Huawei Cloud OBS (e.g., 'https://obs.cn-north-4.myhuaweicloud.com')",
+        description="Huawei Cloud OBS server URL",
         default=None,
     )

api/configs/middleware/storage/oci_storage_config.py

@@ -6,30 +6,30 @@ from pydantic_settings import BaseSettings
 
 class OCIStorageConfig(BaseSettings):
     """
-    Configuration settings for Oracle Cloud Infrastructure (OCI) Object Storage
+    OCI storage configs
     """
 
     OCI_ENDPOINT: Optional[str] = Field(
-        description="URL of the OCI Object Storage endpoint (e.g., 'https://objectstorage.us-phoenix-1.oraclecloud.com')",
+        description="OCI storage endpoint",
         default=None,
     )
 
     OCI_REGION: Optional[str] = Field(
-        description="OCI region where the bucket is located (e.g., 'us-phoenix-1')",
+        description="OCI storage region",
         default=None,
     )
 
     OCI_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the OCI Object Storage bucket to store and retrieve objects (e.g., 'my-oci-bucket')",
+        description="OCI storage bucket name",
         default=None,
     )
 
     OCI_ACCESS_KEY: Optional[str] = Field(
-        description="Access key (also known as API key) for authenticating with OCI Object Storage",
+        description="OCI storage access key",
         default=None,
     )
 
     OCI_SECRET_KEY: Optional[str] = Field(
-        description="Secret key associated with the access key for authenticating with OCI Object Storage",
+        description="OCI storage secret key",
         default=None,
     )

api/configs/middleware/storage/opendal_storage_config.py

@@ -1,9 +0,0 @@
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class OpenDALStorageConfig(BaseSettings):
-    OPENDAL_SCHEME: str = Field(
-        default="fs",
-        description="OpenDAL scheme.",
-    )

api/configs/middleware/storage/supabase_storage_config.py

@@ -1,25 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class SupabaseStorageConfig(BaseSettings):
-    """
-    Configuration settings for Supabase Object Storage Service
-    """
-
-    SUPABASE_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the Supabase bucket to store and retrieve objects (e.g., 'dify-bucket')",
-        default=None,
-    )
-
-    SUPABASE_API_KEY: Optional[str] = Field(
-        description="API KEY for authenticating with Supabase",
-        default=None,
-    )
-
-    SUPABASE_URL: Optional[str] = Field(
-        description="URL of the Supabase",
-        default=None,
-    )

api/configs/middleware/storage/tencent_cos_storage_config.py

@@ -6,30 +6,30 @@ from pydantic_settings import BaseSettings
 
 class TencentCloudCOSStorageConfig(BaseSettings):
     """
-    Configuration settings for Tencent Cloud Object Storage (COS)
+    Tencent Cloud COS storage configs
     """
 
     TENCENT_COS_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the Tencent Cloud COS bucket to store and retrieve objects",
+        description="Tencent Cloud COS bucket name",
         default=None,
     )
 
     TENCENT_COS_REGION: Optional[str] = Field(
-        description="Tencent Cloud region where the COS bucket is located (e.g., 'ap-guangzhou')",
+        description="Tencent Cloud COS region",
         default=None,
     )
 
     TENCENT_COS_SECRET_ID: Optional[str] = Field(
-        description="SecretId for authenticating with Tencent Cloud COS (part of API credentials)",
+        description="Tencent Cloud COS secret id",
         default=None,
     )
 
     TENCENT_COS_SECRET_KEY: Optional[str] = Field(
-        description="SecretKey for authenticating with Tencent Cloud COS (part of API credentials)",
+        description="Tencent Cloud COS secret key",
         default=None,
     )
 
     TENCENT_COS_SCHEME: Optional[str] = Field(
-        description="Protocol scheme for COS requests: 'https' (recommended) or 'http'",
+        description="Tencent Cloud COS scheme",
         default=None,
     )

api/configs/middleware/storage/volcengine_tos_storage_config.py

@@ -1,35 +1,34 @@
 from typing import Optional
 
-from pydantic import Field
-from pydantic_settings import BaseSettings
+from pydantic import BaseModel, Field
 
 
-class VolcengineTOSStorageConfig(BaseSettings):
+class VolcengineTOSStorageConfig(BaseModel):
     """
-    Configuration settings for Volcengine Tinder Object Storage (TOS)
+    Volcengine tos storage configs
     """
 
     VOLCENGINE_TOS_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the Volcengine TOS bucket to store and retrieve objects (e.g., 'my-tos-bucket')",
+        description="Volcengine TOS Bucket Name",
         default=None,
     )
 
     VOLCENGINE_TOS_ACCESS_KEY: Optional[str] = Field(
-        description="Access Key ID for authenticating with Volcengine TOS",
+        description="Volcengine TOS Access Key",
         default=None,
     )
 
     VOLCENGINE_TOS_SECRET_KEY: Optional[str] = Field(
-        description="Secret Access Key for authenticating with Volcengine TOS",
+        description="Volcengine TOS Secret Key",
         default=None,
     )
 
     VOLCENGINE_TOS_ENDPOINT: Optional[str] = Field(
-        description="URL of the Volcengine TOS endpoint (e.g., 'https://tos-cn-beijing.volces.com')",
+        description="Volcengine TOS Endpoint URL",
         default=None,
     )
 
     VOLCENGINE_TOS_REGION: Optional[str] = Field(
-        description="Volcengine region where the TOS bucket is located (e.g., 'cn-beijing')",
+        description="Volcengine TOS Region",
         default=None,
     )

api/configs/middleware/vdb/analyticdb_config.py

@@ -1,51 +1,37 @@
 from typing import Optional
 
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
+from pydantic import BaseModel, Field
 
 
-class AnalyticdbConfig(BaseSettings):
+class AnalyticdbConfig(BaseModel):
     """
-    Configuration for connecting to Alibaba Cloud AnalyticDB for PostgreSQL.
+    Configuration for connecting to AnalyticDB.
     Refer to the following documentation for details on obtaining credentials:
     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(
-        default=None, description="The Access Key ID provided by Alibaba Cloud for API authentication."
+        default=None, description="The Access Key ID provided by Alibaba Cloud for authentication."
     )
     ANALYTICDB_KEY_SECRET: Optional[str] = Field(
-        default=None, description="The Secret Access Key corresponding to the Access Key ID for secure API access."
+        default=None, description="The Secret Access Key corresponding to the Access Key ID for secure access."
     )
     ANALYTICDB_REGION_ID: Optional[str] = Field(
-        default=None,
-        description="The region where the AnalyticDB instance is deployed (e.g., 'cn-hangzhou', 'ap-southeast-1').",
+        default=None, description="The region where the AnalyticDB instance is deployed (e.g., 'cn-hangzhou')."
     )
     ANALYTICDB_INSTANCE_ID: Optional[str] = Field(
         default=None,
-        description="The unique identifier of the AnalyticDB instance you want to connect to.",
+        description="The unique identifier of the AnalyticDB instance you want to connect to (e.g., 'gp-ab123456')..",
     )
     ANALYTICDB_ACCOUNT: Optional[str] = Field(
-        default=None,
-        description="The account name used to log in to the AnalyticDB instance"
-        " (usually the initial account created with the instance).",
+        default=None, description="The account name used to log in to the AnalyticDB instance."
     )
     ANALYTICDB_PASSWORD: Optional[str] = Field(
-        default=None, description="The password associated with the AnalyticDB account for database authentication."
+        default=None, description="The password associated with the AnalyticDB account for authentication."
     )
     ANALYTICDB_NAMESPACE: Optional[str] = Field(
-        default=None, description="The namespace within AnalyticDB for schema isolation (if using namespace feature)."
+        default=None, description="The namespace within AnalyticDB for schema isolation."
     )
     ANALYTICDB_NAMESPACE_PASSWORD: Optional[str] = Field(
-        default=None,
-        description="The password for accessing the specified namespace within the AnalyticDB instance"
-        " (if namespace feature is enabled).",
+        default=None, description="The password for accessing the specified namespace within the AnalyticDB instance."
     )
-    ANALYTICDB_HOST: Optional[str] = Field(
-        default=None, description="The host of the AnalyticDB instance you want to connect to."
-    )
-    ANALYTICDB_PORT: PositiveInt = Field(
-        default=5432, description="The port of the AnalyticDB instance you want to connect to."
-    )
-    ANALYTICDB_MIN_CONNECTION: PositiveInt = Field(default=1, description="Min connection of the AnalyticDB database.")
-    ANALYTICDB_MAX_CONNECTION: PositiveInt = Field(default=5, description="Max connection of the AnalyticDB database.")

api/configs/middleware/vdb/baidu_vector_config.py

@@ -1,45 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, NonNegativeInt, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class BaiduVectorDBConfig(BaseSettings):
-    """
-    Configuration settings for Baidu Vector Database
-    """
-
-    BAIDU_VECTOR_DB_ENDPOINT: Optional[str] = Field(
-        description="URL of the Baidu Vector Database service (e.g., 'http://vdb.bj.baidubce.com')",
-        default=None,
-    )
-
-    BAIDU_VECTOR_DB_CONNECTION_TIMEOUT_MS: PositiveInt = Field(
-        description="Timeout in milliseconds for Baidu Vector Database operations (default is 30000 milliseconds)",
-        default=30000,
-    )
-
-    BAIDU_VECTOR_DB_ACCOUNT: Optional[str] = Field(
-        description="Account for authenticating with the Baidu Vector Database",
-        default=None,
-    )
-
-    BAIDU_VECTOR_DB_API_KEY: Optional[str] = Field(
-        description="API key for authenticating with the Baidu Vector Database service",
-        default=None,
-    )
-
-    BAIDU_VECTOR_DB_DATABASE: Optional[str] = Field(
-        description="Name of the specific Baidu Vector Database to connect to",
-        default=None,
-    )
-
-    BAIDU_VECTOR_DB_SHARD: PositiveInt = Field(
-        description="Number of shards for the Baidu Vector Database (default is 1)",
-        default=1,
-    )
-
-    BAIDU_VECTOR_DB_REPLICAS: NonNegativeInt = Field(
-        description="Number of replicas for the Baidu Vector Database (default is 3)",
-        default=3,
-    )

api/configs/middleware/vdb/chroma_config.py

@@ -6,35 +6,35 @@ from pydantic_settings import BaseSettings
 
 class ChromaConfig(BaseSettings):
     """
-    Configuration settings for Chroma vector database
+    Chroma configs
     """
 
     CHROMA_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the Chroma server (e.g., 'localhost' or '192.168.1.100')",
+        description="Chroma host",
         default=None,
     )
 
     CHROMA_PORT: PositiveInt = Field(
-        description="Port number on which the Chroma server is listening (default is 8000)",
+        description="Chroma port",
         default=8000,
     )
 
     CHROMA_TENANT: Optional[str] = Field(
-        description="Tenant identifier for multi-tenancy support in Chroma",
+        description="Chroma database",
         default=None,
     )
 
     CHROMA_DATABASE: Optional[str] = Field(
-        description="Name of the Chroma database to connect to",
+        description="Chroma database",
         default=None,
     )
 
     CHROMA_AUTH_PROVIDER: Optional[str] = Field(
-        description="Authentication provider for Chroma (e.g., 'basic', 'token', or a custom provider)",
+        description="Chroma authentication provider",
         default=None,
     )
 
     CHROMA_AUTH_CREDENTIALS: Optional[str] = Field(
-        description="Authentication credentials for Chroma (format depends on the auth provider)",
+        description="Chroma authentication credentials",
         default=None,
     )

api/configs/middleware/vdb/couchbase_config.py

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class CouchbaseConfig(BaseSettings):
-    """
-    Couchbase configs
-    """
-
-    COUCHBASE_CONNECTION_STRING: Optional[str] = Field(
-        description="COUCHBASE connection string",
-        default=None,
-    )
-
-    COUCHBASE_USER: Optional[str] = Field(
-        description="COUCHBASE user",
-        default=None,
-    )
-
-    COUCHBASE_PASSWORD: Optional[str] = Field(
-        description="COUCHBASE password",
-        default=None,
-    )
-
-    COUCHBASE_BUCKET_NAME: Optional[str] = Field(
-        description="COUCHBASE bucket name",
-        default=None,
-    )
-
-    COUCHBASE_SCOPE_NAME: Optional[str] = Field(
-        description="COUCHBASE scope name",
-        default=None,
-    )

api/configs/middleware/vdb/elasticsearch_config.py

@@ -6,25 +6,25 @@ from pydantic_settings import BaseSettings
 
 class ElasticsearchConfig(BaseSettings):
     """
-    Configuration settings for Elasticsearch
+    Elasticsearch configs
     """
 
     ELASTICSEARCH_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the Elasticsearch server (e.g., 'localhost' or '192.168.1.100')",
+        description="Elasticsearch host",
         default="127.0.0.1",
     )
 
     ELASTICSEARCH_PORT: PositiveInt = Field(
-        description="Port number on which the Elasticsearch server is listening (default is 9200)",
+        description="Elasticsearch port",
         default=9200,
     )
 
     ELASTICSEARCH_USERNAME: Optional[str] = Field(
-        description="Username for authenticating with Elasticsearch (default is 'elastic')",
+        description="Elasticsearch username",
         default="elastic",
     )
 
     ELASTICSEARCH_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with Elasticsearch (default is 'elastic')",
+        description="Elasticsearch password",
         default="elastic",
     )

api/configs/middleware/vdb/lindorm_config.py

@@ -1,34 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class LindormConfig(BaseSettings):
-    """
-    Lindorm configs
-    """
-
-    LINDORM_URL: Optional[str] = Field(
-        description="Lindorm url",
-        default=None,
-    )
-    LINDORM_USERNAME: Optional[str] = Field(
-        description="Lindorm user",
-        default=None,
-    )
-    LINDORM_PASSWORD: Optional[str] = Field(
-        description="Lindorm password",
-        default=None,
-    )
-    DEFAULT_INDEX_TYPE: Optional[str] = Field(
-        description="Lindorm Vector Index Type, hnsw or flat is available in dify",
-        default="hnsw",
-    )
-    DEFAULT_DISTANCE_TYPE: Optional[str] = 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,
-    )

api/configs/middleware/vdb/milvus_config.py

@@ -6,36 +6,30 @@ from pydantic_settings import BaseSettings
 
 class MilvusConfig(BaseSettings):
     """
-    Configuration settings for Milvus vector database
+    Milvus configs
     """
 
     MILVUS_URI: Optional[str] = Field(
-        description="URI for connecting to the Milvus server (e.g., 'http://localhost:19530' or 'https://milvus-instance.example.com:19530')",
+        description="Milvus uri",
         default="http://127.0.0.1:19530",
     )
 
     MILVUS_TOKEN: Optional[str] = Field(
-        description="Authentication token for Milvus, if token-based authentication is enabled",
+        description="Milvus token",
         default=None,
     )
 
     MILVUS_USER: Optional[str] = Field(
-        description="Username for authenticating with Milvus, if username/password authentication is enabled",
+        description="Milvus user",
         default=None,
     )
 
     MILVUS_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with Milvus, if username/password authentication is enabled",
+        description="Milvus password",
         default=None,
     )
 
     MILVUS_DATABASE: str = Field(
-        description="Name of the Milvus database to connect to (default is 'default')",
+        description="Milvus database, default to `default`",
         default="default",
     )
-
-    MILVUS_ENABLE_HYBRID_SEARCH: bool = Field(
-        description="Enable hybrid search features (requires Milvus >= 2.5.0). Set to false for compatibility with "
-        "older versions",
-        default=True,
-    )

api/configs/middleware/vdb/myscale_config.py

@@ -1,38 +1,37 @@
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
+from pydantic import BaseModel, Field, PositiveInt
 
 
-class MyScaleConfig(BaseSettings):
+class MyScaleConfig(BaseModel):
     """
-    Configuration settings for MyScale vector database
+    MyScale configs
     """
 
     MYSCALE_HOST: str = Field(
-        description="Hostname or IP address of the MyScale server (e.g., 'localhost' or 'myscale.example.com')",
+        description="MyScale host",
         default="localhost",
     )
 
     MYSCALE_PORT: PositiveInt = Field(
-        description="Port number on which the MyScale server is listening (default is 8123)",
+        description="MyScale port",
         default=8123,
     )
 
     MYSCALE_USER: str = Field(
-        description="Username for authenticating with MyScale (default is 'default')",
+        description="MyScale user",
         default="default",
     )
 
     MYSCALE_PASSWORD: str = Field(
-        description="Password for authenticating with MyScale (default is an empty string)",
+        description="MyScale password",
         default="",
     )
 
     MYSCALE_DATABASE: str = Field(
-        description="Name of the MyScale database to connect to (default is 'default')",
+        description="MyScale database name",
         default="default",
     )
 
     MYSCALE_FTS_PARAMS: str = Field(
-        description="Additional parameters for MyScale Full Text Search index)",
+        description="MyScale fts index parameters",
         default="",
     )

api/configs/middleware/vdb/oceanbase_config.py

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class OceanBaseVectorConfig(BaseSettings):
-    """
-    Configuration settings for OceanBase Vector database
-    """
-
-    OCEANBASE_VECTOR_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the OceanBase Vector server (e.g. 'localhost')",
-        default=None,
-    )
-
-    OCEANBASE_VECTOR_PORT: Optional[PositiveInt] = Field(
-        description="Port number on which the OceanBase Vector server is listening (default is 2881)",
-        default=2881,
-    )
-
-    OCEANBASE_VECTOR_USER: Optional[str] = Field(
-        description="Username for authenticating with the OceanBase Vector database",
-        default=None,
-    )
-
-    OCEANBASE_VECTOR_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the OceanBase Vector database",
-        default=None,
-    )
-
-    OCEANBASE_VECTOR_DATABASE: Optional[str] = Field(
-        description="Name of the OceanBase Vector database to connect to",
-        default=None,
-    )

api/configs/middleware/vdb/opensearch_config.py

@@ -6,30 +6,30 @@ from pydantic_settings import BaseSettings
 
 class OpenSearchConfig(BaseSettings):
     """
-    Configuration settings for OpenSearch
+    OpenSearch configs
     """
 
     OPENSEARCH_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the OpenSearch server (e.g., 'localhost' or 'opensearch.example.com')",
+        description="OpenSearch host",
         default=None,
     )
 
     OPENSEARCH_PORT: PositiveInt = Field(
-        description="Port number on which the OpenSearch server is listening (default is 9200)",
+        description="OpenSearch port",
         default=9200,
     )
 
     OPENSEARCH_USER: Optional[str] = Field(
-        description="Username for authenticating with OpenSearch",
+        description="OpenSearch user",
         default=None,
     )
 
     OPENSEARCH_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with OpenSearch",
+        description="OpenSearch password",
         default=None,
     )
 
     OPENSEARCH_SECURE: bool = Field(
-        description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)",
+        description="whether to use SSL connection for OpenSearch",
         default=False,
     )

api/configs/middleware/vdb/oracle_config.py

@@ -1,46 +1,35 @@
 from typing import Optional
 
-from pydantic import Field
+from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings
 
 
 class OracleConfig(BaseSettings):
     """
-    Configuration settings for Oracle database
+    ORACLE configs
     """
 
+    ORACLE_HOST: Optional[str] = Field(
+        description="ORACLE host",
+        default=None,
+    )
+
+    ORACLE_PORT: Optional[PositiveInt] = Field(
+        description="ORACLE port",
+        default=1521,
+    )
+
     ORACLE_USER: Optional[str] = Field(
-        description="Username for authenticating with the Oracle database",
+        description="ORACLE user",
         default=None,
     )
 
     ORACLE_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the Oracle database",
+        description="ORACLE password",
         default=None,
     )
 
-    ORACLE_DSN: Optional[str] = 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",
+    ORACLE_DATABASE: Optional[str] = Field(
+        description="ORACLE database",
         default=None,
     )
-
-    ORACLE_CONFIG_DIR: Optional[str] = Field(
-        description="Directory containing the tnsnames.ora configuration file. Only used in thin mode connection",
-        default=None,
-    )
-
-    ORACLE_WALLET_LOCATION: Optional[str] = Field(
-        description="Oracle wallet directory path containing the wallet files for secure connection",
-        default=None,
-    )
-
-    ORACLE_WALLET_PASSWORD: Optional[str] = Field(
-        description="Password to decrypt the Oracle wallet, if it is encrypted",
-        default=None,
-    )
-
-    ORACLE_IS_AUTONOMOUS: bool = Field(
-        description="Flag indicating whether connecting to Oracle Autonomous Database",
-        default=False,
-    )

api/configs/middleware/vdb/pgvector_config.py

@@ -6,40 +6,30 @@ from pydantic_settings import BaseSettings
 
 class PGVectorConfig(BaseSettings):
     """
-    Configuration settings for PGVector (PostgreSQL with vector extension)
+    PGVector configs
     """
 
     PGVECTOR_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the PostgreSQL server with PGVector extension (e.g., 'localhost')",
+        description="PGVector host",
         default=None,
     )
 
-    PGVECTOR_PORT: PositiveInt = Field(
-        description="Port number on which the PostgreSQL server is listening (default is 5433)",
+    PGVECTOR_PORT: Optional[PositiveInt] = Field(
+        description="PGVector port",
         default=5433,
     )
 
     PGVECTOR_USER: Optional[str] = Field(
-        description="Username for authenticating with the PostgreSQL database",
+        description="PGVector user",
         default=None,
     )
 
     PGVECTOR_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the PostgreSQL database",
+        description="PGVector password",
         default=None,
     )
 
     PGVECTOR_DATABASE: Optional[str] = Field(
-        description="Name of the PostgreSQL database to connect to",
+        description="PGVector database",
         default=None,
     )
-
-    PGVECTOR_MIN_CONNECTION: PositiveInt = Field(
-        description="Min connection of the PostgreSQL database",
-        default=1,
-    )
-
-    PGVECTOR_MAX_CONNECTION: PositiveInt = Field(
-        description="Max connection of the PostgreSQL database",
-        default=5,
-    )

api/configs/middleware/vdb/pgvectors_config.py

@@ -6,30 +6,30 @@ from pydantic_settings import BaseSettings
 
 class PGVectoRSConfig(BaseSettings):
     """
-    Configuration settings for PGVecto.RS (Rust-based vector extension for PostgreSQL)
+    PGVectoRS configs
     """
 
     PGVECTO_RS_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the PostgreSQL server with PGVecto.RS extension (e.g., 'localhost')",
+        description="PGVectoRS host",
         default=None,
     )
 
-    PGVECTO_RS_PORT: PositiveInt = Field(
-        description="Port number on which the PostgreSQL server with PGVecto.RS is listening (default is 5431)",
+    PGVECTO_RS_PORT: Optional[PositiveInt] = Field(
+        description="PGVectoRS port",
         default=5431,
     )
 
     PGVECTO_RS_USER: Optional[str] = Field(
-        description="Username for authenticating with the PostgreSQL database using PGVecto.RS",
+        description="PGVectoRS user",
         default=None,
     )
 
     PGVECTO_RS_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the PostgreSQL database using PGVecto.RS",
+        description="PGVectoRS password",
         default=None,
     )
 
     PGVECTO_RS_DATABASE: Optional[str] = Field(
-        description="Name of the PostgreSQL database with PGVecto.RS extension to connect to",
+        description="PGVectoRS database",
         default=None,
     )

api/configs/middleware/vdb/qdrant_config.py

@@ -6,30 +6,30 @@ from pydantic_settings import BaseSettings
 
 class QdrantConfig(BaseSettings):
     """
-    Configuration settings for Qdrant vector database
+    Qdrant configs
     """
 
     QDRANT_URL: Optional[str] = Field(
-        description="URL of the Qdrant server (e.g., 'http://localhost:6333' or 'https://qdrant.example.com')",
+        description="Qdrant url",
         default=None,
     )
 
     QDRANT_API_KEY: Optional[str] = Field(
-        description="API key for authenticating with the Qdrant server",
+        description="Qdrant api key",
         default=None,
     )
 
     QDRANT_CLIENT_TIMEOUT: NonNegativeInt = Field(
-        description="Timeout in seconds for Qdrant client operations (default is 20 seconds)",
+        description="Qdrant client timeout in seconds",
         default=20,
     )
 
     QDRANT_GRPC_ENABLED: bool = Field(
-        description="Whether to enable gRPC support for Qdrant connection (True for gRPC, False for HTTP)",
+        description="whether enable grpc support for Qdrant connection",
         default=False,
     )
 
     QDRANT_GRPC_PORT: PositiveInt = Field(
-        description="Port number for gRPC connection to Qdrant server (default is 6334)",
+        description="Qdrant grpc port",
         default=6334,
     )

api/configs/middleware/vdb/relyt_config.py

@@ -6,30 +6,30 @@ from pydantic_settings import BaseSettings
 
 class RelytConfig(BaseSettings):
     """
-    Configuration settings for Relyt database
+    Relyt configs
     """
 
     RELYT_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the Relyt server (e.g., 'localhost' or 'relyt.example.com')",
+        description="Relyt host",
         default=None,
     )
 
     RELYT_PORT: PositiveInt = Field(
-        description="Port number on which the Relyt server is listening (default is 9200)",
+        description="Relyt port",
         default=9200,
     )
 
     RELYT_USER: Optional[str] = Field(
-        description="Username for authenticating with the Relyt database",
+        description="Relyt user",
         default=None,
     )
 
     RELYT_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the Relyt database",
+        description="Relyt password",
         default=None,
     )
 
     RELYT_DATABASE: Optional[str] = Field(
-        description="Name of the Relyt database to connect to (default is 'default')",
+        description="Relyt database",
         default="default",
     )

api/configs/middleware/vdb/tencent_vector_config.py

@@ -6,45 +6,45 @@ from pydantic_settings import BaseSettings
 
 class TencentVectorDBConfig(BaseSettings):
     """
-    Configuration settings for Tencent Vector Database
+    Tencent Vector configs
     """
 
     TENCENT_VECTOR_DB_URL: Optional[str] = Field(
-        description="URL of the Tencent Vector Database service (e.g., 'https://vectordb.tencentcloudapi.com')",
+        description="Tencent Vector URL",
         default=None,
     )
 
     TENCENT_VECTOR_DB_API_KEY: Optional[str] = Field(
-        description="API key for authenticating with the Tencent Vector Database service",
+        description="Tencent Vector API key",
         default=None,
     )
 
     TENCENT_VECTOR_DB_TIMEOUT: PositiveInt = Field(
-        description="Timeout in seconds for Tencent Vector Database operations (default is 30 seconds)",
+        description="Tencent Vector timeout in seconds",
         default=30,
     )
 
     TENCENT_VECTOR_DB_USERNAME: Optional[str] = Field(
-        description="Username for authenticating with the Tencent Vector Database (if required)",
+        description="Tencent Vector username",
         default=None,
     )
 
     TENCENT_VECTOR_DB_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the Tencent Vector Database (if required)",
+        description="Tencent Vector password",
         default=None,
     )
 
     TENCENT_VECTOR_DB_SHARD: PositiveInt = Field(
-        description="Number of shards for the Tencent Vector Database (default is 1)",
+        description="Tencent Vector sharding number",
         default=1,
     )
 
     TENCENT_VECTOR_DB_REPLICAS: NonNegativeInt = Field(
-        description="Number of replicas for the Tencent Vector Database (default is 2)",
+        description="Tencent Vector replicas",
         default=2,
     )
 
     TENCENT_VECTOR_DB_DATABASE: Optional[str] = Field(
-        description="Name of the specific Tencent Vector Database to connect to",
+        description="Tencent Vector Database",
         default=None,
     )

api/configs/middleware/vdb/tidb_on_qdrant_config.py

@@ -1,70 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, NonNegativeInt, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class TidbOnQdrantConfig(BaseSettings):
-    """
-    Tidb on Qdrant configs
-    """
-
-    TIDB_ON_QDRANT_URL: Optional[str] = Field(
-        description="Tidb on Qdrant url",
-        default=None,
-    )
-
-    TIDB_ON_QDRANT_API_KEY: Optional[str] = Field(
-        description="Tidb on Qdrant api key",
-        default=None,
-    )
-
-    TIDB_ON_QDRANT_CLIENT_TIMEOUT: NonNegativeInt = Field(
-        description="Tidb on Qdrant client timeout in seconds",
-        default=20,
-    )
-
-    TIDB_ON_QDRANT_GRPC_ENABLED: bool = Field(
-        description="whether enable grpc support for Tidb on Qdrant connection",
-        default=False,
-    )
-
-    TIDB_ON_QDRANT_GRPC_PORT: PositiveInt = Field(
-        description="Tidb on Qdrant grpc port",
-        default=6334,
-    )
-
-    TIDB_PUBLIC_KEY: Optional[str] = Field(
-        description="Tidb account public key",
-        default=None,
-    )
-
-    TIDB_PRIVATE_KEY: Optional[str] = Field(
-        description="Tidb account private key",
-        default=None,
-    )
-
-    TIDB_API_URL: Optional[str] = Field(
-        description="Tidb API url",
-        default=None,
-    )
-
-    TIDB_IAM_API_URL: Optional[str] = Field(
-        description="Tidb IAM API url",
-        default=None,
-    )
-
-    TIDB_REGION: Optional[str] = Field(
-        description="Tidb serverless region",
-        default="regions/aws-us-east-1",
-    )
-
-    TIDB_PROJECT_ID: Optional[str] = Field(
-        description="Tidb project id",
-        default=None,
-    )
-
-    TIDB_SPEND_LIMIT: Optional[int] = Field(
-        description="Tidb spend limit",
-        default=100,
-    )

api/configs/middleware/vdb/tidb_vector_config.py

@@ -6,30 +6,30 @@ from pydantic_settings import BaseSettings
 
 class TiDBVectorConfig(BaseSettings):
     """
-    Configuration settings for TiDB Vector database
+    TiDB Vector configs
     """
 
     TIDB_VECTOR_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the TiDB Vector server (e.g., 'localhost' or 'tidb.example.com')",
+        description="TiDB Vector host",
         default=None,
     )
 
     TIDB_VECTOR_PORT: Optional[PositiveInt] = Field(
-        description="Port number on which the TiDB Vector server is listening (default is 4000)",
+        description="TiDB Vector port",
         default=4000,
     )
 
     TIDB_VECTOR_USER: Optional[str] = Field(
-        description="Username for authenticating with the TiDB Vector database",
+        description="TiDB Vector user",
         default=None,
     )
 
     TIDB_VECTOR_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the TiDB Vector database",
+        description="TiDB Vector password",
         default=None,
     )
 
     TIDB_VECTOR_DATABASE: Optional[str] = Field(
-        description="Name of the TiDB Vector database to connect to",
+        description="TiDB Vector database",
         default=None,
     )

api/configs/middleware/vdb/upstash_config.py

@@ -1,20 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class UpstashConfig(BaseSettings):
-    """
-    Configuration settings for Upstash vector database
-    """
-
-    UPSTASH_VECTOR_URL: Optional[str] = Field(
-        description="URL of the upstash server (e.g., 'https://vector.upstash.io')",
-        default=None,
-    )
-
-    UPSTASH_VECTOR_TOKEN: Optional[str] = Field(
-        description="Token for authenticating with the upstash server",
-        default=None,
-    )

api/configs/middleware/vdb/vikingdb_config.py

@@ -1,50 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class VikingDBConfig(BaseSettings):
-    """
-    Configuration for connecting to Volcengine VikingDB.
-    Refer to the following documentation for details on obtaining credentials:
-    https://www.volcengine.com/docs/6291/65568
-    """
-
-    VIKINGDB_ACCESS_KEY: Optional[str] = Field(
-        description="The Access Key provided by Volcengine VikingDB for API authentication."
-        "Refer to the following documentation for details on obtaining credentials:"
-        "https://www.volcengine.com/docs/6291/65568",
-        default=None,
-    )
-
-    VIKINGDB_SECRET_KEY: Optional[str] = Field(
-        description="The Secret Key provided by Volcengine VikingDB for API authentication.",
-        default=None,
-    )
-
-    VIKINGDB_REGION: str = Field(
-        description="The region of the Volcengine VikingDB service.(e.g., 'cn-shanghai', 'cn-beijing').",
-        default="cn-shanghai",
-    )
-
-    VIKINGDB_HOST: str = Field(
-        description="The host of the Volcengine VikingDB service.(e.g., 'api-vikingdb.volces.com', \
-            'api-vikingdb.mlp.cn-shanghai.volces.com')",
-        default="api-vikingdb.mlp.cn-shanghai.volces.com",
-    )
-
-    VIKINGDB_SCHEME: str = Field(
-        description="The scheme of the Volcengine VikingDB service.(e.g., 'http', 'https').",
-        default="http",
-    )
-
-    VIKINGDB_CONNECTION_TIMEOUT: int = Field(
-        description="The connection timeout of the Volcengine VikingDB service.",
-        default=30,
-    )
-
-    VIKINGDB_SOCKET_TIMEOUT: int = Field(
-        description="The socket timeout of the Volcengine VikingDB service.",
-        default=30,
-    )

api/configs/middleware/vdb/weaviate_config.py

@@ -6,25 +6,25 @@ from pydantic_settings import BaseSettings
 
 class WeaviateConfig(BaseSettings):
     """
-    Configuration settings for Weaviate vector database
+    Weaviate configs
     """
 
     WEAVIATE_ENDPOINT: Optional[str] = Field(
-        description="URL of the Weaviate server (e.g., 'http://localhost:8080' or 'https://weaviate.example.com')",
+        description="Weaviate endpoint URL",
         default=None,
     )
 
     WEAVIATE_API_KEY: Optional[str] = Field(
-        description="API key for authenticating with the Weaviate server",
+        description="Weaviate API key",
         default=None,
     )
 
     WEAVIATE_GRPC_ENABLED: bool = Field(
-        description="Whether to enable gRPC for Weaviate connection (True for gRPC, False for HTTP)",
+        description="whether to enable gRPC for Weaviate connection",
         default=True,
     )
 
     WEAVIATE_BATCH_SIZE: PositiveInt = Field(
-        description="Number of objects to be processed in a single batch operation (default is 100)",
+        description="Weaviate batch size",
         default=100,
     )

api/configs/packaging/__init__.py

@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
 
     CURRENT_VERSION: str = Field(
         description="Dify version",
-        default="1.0.0",
+        default="0.8.2",
     )
 
     COMMIT_SHA: str = Field(

api/configs/remote_settings_sources/__init__.py

@@ -1,17 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-
-from .apollo import ApolloSettingsSourceInfo
-from .base import RemoteSettingsSource
-from .enums import RemoteSettingsSourceName
-
-
-class RemoteSettingsSourceConfig(ApolloSettingsSourceInfo):
-    REMOTE_SETTINGS_SOURCE_NAME: RemoteSettingsSourceName | str = Field(
-        description="name of remote config source",
-        default="",
-    )
-
-
-__all__ = ["RemoteSettingsSource", "RemoteSettingsSourceConfig", "RemoteSettingsSourceName"]

api/configs/remote_settings_sources/apollo/__init__.py

@@ -1,55 +0,0 @@
-from collections.abc import Mapping
-from typing import Any, Optional
-
-from pydantic import Field
-from pydantic.fields import FieldInfo
-from pydantic_settings import BaseSettings
-
-from configs.remote_settings_sources.base import RemoteSettingsSource
-
-from .client import ApolloClient
-
-
-class ApolloSettingsSourceInfo(BaseSettings):
-    """
-    Packaging build information
-    """
-
-    APOLLO_APP_ID: Optional[str] = Field(
-        description="apollo app_id",
-        default=None,
-    )
-
-    APOLLO_CLUSTER: Optional[str] = Field(
-        description="apollo cluster",
-        default=None,
-    )
-
-    APOLLO_CONFIG_URL: Optional[str] = Field(
-        description="apollo config url",
-        default=None,
-    )
-
-    APOLLO_NAMESPACE: Optional[str] = Field(
-        description="apollo namespace",
-        default=None,
-    )
-
-
-class ApolloSettingsSource(RemoteSettingsSource):
-    def __init__(self, configs: Mapping[str, Any]):
-        self.client = ApolloClient(
-            app_id=configs["APOLLO_APP_ID"],
-            cluster=configs["APOLLO_CLUSTER"],
-            config_url=configs["APOLLO_CONFIG_URL"],
-            start_hot_update=False,
-            _notification_map={configs["APOLLO_NAMESPACE"]: -1},
-        )
-        self.namespace = configs["APOLLO_NAMESPACE"]
-        self.remote_configs = self.client.get_all_dicts(self.namespace)
-
-    def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
-        if not isinstance(self.remote_configs, dict):
-            raise ValueError(f"remote configs is not dict, but {type(self.remote_configs)}")
-        field_value = self.remote_configs.get(field_name)
-        return field_value, field_name, False

api/configs/remote_settings_sources/apollo/client.py

@@ -1,304 +0,0 @@
-import hashlib
-import json
-import logging
-import os
-import threading
-import time
-from collections.abc import Mapping
-from pathlib import Path
-
-from .python_3x import http_request, makedirs_wrapper
-from .utils import (
-    CONFIGURATIONS,
-    NAMESPACE_NAME,
-    NOTIFICATION_ID,
-    get_value_from_dict,
-    init_ip,
-    no_key_cache_key,
-    signature,
-    url_encode_wrapper,
-)
-
-logger = logging.getLogger(__name__)
-
-
-class ApolloClient:
-    def __init__(
-        self,
-        config_url,
-        app_id,
-        cluster="default",
-        secret="",
-        start_hot_update=True,
-        change_listener=None,
-        _notification_map=None,
-    ):
-        # Core routing parameters
-        self.config_url = config_url
-        self.cluster = cluster
-        self.app_id = app_id
-
-        # Non-core parameters
-        self.ip = init_ip()
-        self.secret = secret
-
-        # Check the parameter variables
-
-        # Private control variables
-        self._cycle_time = 5
-        self._stopping = False
-        self._cache = {}
-        self._no_key = {}
-        self._hash = {}
-        self._pull_timeout = 75
-        self._cache_file_path = os.path.expanduser("~") + "/.dify/config/remote-settings/apollo/cache/"
-        self._long_poll_thread = None
-        self._change_listener = change_listener  # "add" "delete" "update"
-        if _notification_map is None:
-            _notification_map = {"application": -1}
-        self._notification_map = _notification_map
-        self.last_release_key = None
-        # Private startup method
-        self._path_checker()
-        if start_hot_update:
-            self._start_hot_update()
-
-        # start the heartbeat thread
-        heartbeat = threading.Thread(target=self._heart_beat)
-        heartbeat.daemon = True
-        heartbeat.start()
-
-    def get_json_from_net(self, namespace="application"):
-        url = "{}/configs/{}/{}/{}?releaseKey={}&ip={}".format(
-            self.config_url, self.app_id, self.cluster, namespace, "", self.ip
-        )
-        try:
-            code, body = http_request(url, timeout=3, headers=self._sign_headers(url))
-            if code == 200:
-                if not body:
-                    logger.error(f"get_json_from_net load configs failed, body is {body}")
-                    return None
-                data = json.loads(body)
-                data = data["configurations"]
-                return_data = {CONFIGURATIONS: data}
-                return return_data
-            else:
-                return None
-        except Exception:
-            logger.exception("an error occurred in get_json_from_net")
-            return None
-
-    def get_value(self, key, default_val=None, namespace="application"):
-        try:
-            # read memory configuration
-            namespace_cache = self._cache.get(namespace)
-            val = get_value_from_dict(namespace_cache, key)
-            if val is not None:
-                return val
-
-            no_key = no_key_cache_key(namespace, key)
-            if no_key in self._no_key:
-                return default_val
-
-            # read the network configuration
-            namespace_data = self.get_json_from_net(namespace)
-            val = get_value_from_dict(namespace_data, key)
-            if val is not None:
-                self._update_cache_and_file(namespace_data, namespace)
-                return val
-
-            # read the file configuration
-            namespace_cache = self._get_local_cache(namespace)
-            val = get_value_from_dict(namespace_cache, key)
-            if val is not None:
-                self._update_cache_and_file(namespace_cache, namespace)
-                return val
-
-            # If all of them are not obtained, the default value is returned
-            # and the local cache is set to None
-            self._set_local_cache_none(namespace, key)
-            return default_val
-        except Exception:
-            logger.exception("get_value has error, [key is %s], [namespace is %s]", key, namespace)
-            return default_val
-
-    # Set the key of a namespace to none, and do not set default val
-    # to ensure the real-time correctness of the function call.
-    # If the user does not have the same default val twice
-    # and the default val is used here, there may be a problem.
-    def _set_local_cache_none(self, namespace, key):
-        no_key = no_key_cache_key(namespace, key)
-        self._no_key[no_key] = key
-
-    def _start_hot_update(self):
-        self._long_poll_thread = threading.Thread(target=self._listener)
-        # When the asynchronous thread is started, the daemon thread will automatically exit
-        # when the main thread is launched.
-        self._long_poll_thread.daemon = True
-        self._long_poll_thread.start()
-
-    def stop(self):
-        self._stopping = True
-        logger.info("Stopping listener...")
-
-    # Call the set callback function, and if it is abnormal, try it out
-    def _call_listener(self, namespace, old_kv, new_kv):
-        if self._change_listener is None:
-            return
-        if old_kv is None:
-            old_kv = {}
-        if new_kv is None:
-            new_kv = {}
-        try:
-            for key in old_kv:
-                new_value = new_kv.get(key)
-                old_value = old_kv.get(key)
-                if new_value is None:
-                    # If newValue is empty, it means key, and the value is deleted.
-                    self._change_listener("delete", namespace, key, old_value)
-                    continue
-                if new_value != old_value:
-                    self._change_listener("update", namespace, key, new_value)
-                    continue
-            for key in new_kv:
-                new_value = new_kv.get(key)
-                old_value = old_kv.get(key)
-                if old_value is None:
-                    self._change_listener("add", namespace, key, new_value)
-        except BaseException as e:
-            logger.warning(str(e))
-
-    def _path_checker(self):
-        if not os.path.isdir(self._cache_file_path):
-            makedirs_wrapper(self._cache_file_path)
-
-    # update the local cache and file cache
-    def _update_cache_and_file(self, namespace_data, namespace="application"):
-        # update the local cache
-        self._cache[namespace] = namespace_data
-        # update the file cache
-        new_string = json.dumps(namespace_data)
-        new_hash = hashlib.md5(new_string.encode("utf-8")).hexdigest()
-        if self._hash.get(namespace) == new_hash:
-            pass
-        else:
-            file_path = Path(self._cache_file_path) / f"{self.app_id}_configuration_{namespace}.txt"
-            file_path.write_text(new_string)
-            self._hash[namespace] = new_hash
-
-    # get the configuration from the local file
-    def _get_local_cache(self, namespace="application"):
-        cache_file_path = os.path.join(self._cache_file_path, f"{self.app_id}_configuration_{namespace}.txt")
-        if os.path.isfile(cache_file_path):
-            with open(cache_file_path) as f:
-                result = json.loads(f.readline())
-            return result
-        return {}
-
-    def _long_poll(self):
-        notifications = []
-        for key in self._cache:
-            namespace_data = self._cache[key]
-            notification_id = -1
-            if NOTIFICATION_ID in namespace_data:
-                notification_id = self._cache[key][NOTIFICATION_ID]
-            notifications.append({NAMESPACE_NAME: key, NOTIFICATION_ID: notification_id})
-        try:
-            # if the length is 0 it is returned directly
-            if len(notifications) == 0:
-                return
-            url = "{}/notifications/v2".format(self.config_url)
-            params = {
-                "appId": self.app_id,
-                "cluster": self.cluster,
-                "notifications": json.dumps(notifications, ensure_ascii=False),
-            }
-            param_str = url_encode_wrapper(params)
-            url = url + "?" + param_str
-            code, body = http_request(url, self._pull_timeout, headers=self._sign_headers(url))
-            http_code = code
-            if http_code == 304:
-                logger.debug("No change, loop...")
-                return
-            if http_code == 200:
-                if not body:
-                    logger.error(f"_long_poll load configs failed,body is {body}")
-                    return
-                data = json.loads(body)
-                for entry in data:
-                    namespace = entry[NAMESPACE_NAME]
-                    n_id = entry[NOTIFICATION_ID]
-                    logger.info("%s has changes: notificationId=%d", namespace, n_id)
-                    self._get_net_and_set_local(namespace, n_id, call_change=True)
-                    return
-            else:
-                logger.warning("Sleep...")
-        except Exception as e:
-            logger.warning(str(e))
-
-    def _get_net_and_set_local(self, namespace, n_id, call_change=False):
-        namespace_data = self.get_json_from_net(namespace)
-        if not namespace_data:
-            return
-        namespace_data[NOTIFICATION_ID] = n_id
-        old_namespace = self._cache.get(namespace)
-        self._update_cache_and_file(namespace_data, namespace)
-        if self._change_listener is not None and call_change and old_namespace:
-            old_kv = old_namespace.get(CONFIGURATIONS)
-            new_kv = namespace_data.get(CONFIGURATIONS)
-            self._call_listener(namespace, old_kv, new_kv)
-
-    def _listener(self):
-        logger.info("start long_poll")
-        while not self._stopping:
-            self._long_poll()
-            time.sleep(self._cycle_time)
-        logger.info("stopped, long_poll")
-
-    # add the need for endorsement to the header
-    def _sign_headers(self, url: str) -> Mapping[str, str]:
-        headers: dict[str, str] = {}
-        if self.secret == "":
-            return headers
-        uri = url[len(self.config_url) : len(url)]
-        time_unix_now = str(int(round(time.time() * 1000)))
-        headers["Authorization"] = "Apollo " + self.app_id + ":" + signature(time_unix_now, uri, self.secret)
-        headers["Timestamp"] = time_unix_now
-        return headers
-
-    def _heart_beat(self):
-        while not self._stopping:
-            for namespace in self._notification_map:
-                self._do_heart_beat(namespace)
-            time.sleep(60 * 10)  # 10分钟
-
-    def _do_heart_beat(self, namespace):
-        url = "{}/configs/{}/{}/{}?ip={}".format(self.config_url, self.app_id, self.cluster, namespace, self.ip)
-        try:
-            code, body = http_request(url, timeout=3, headers=self._sign_headers(url))
-            if code == 200:
-                if not body:
-                    logger.error(f"_do_heart_beat load configs failed,body is {body}")
-                    return None
-                data = json.loads(body)
-                if self.last_release_key == data["releaseKey"]:
-                    return None
-                self.last_release_key = data["releaseKey"]
-                data = data["configurations"]
-                self._update_cache_and_file(data, namespace)
-            else:
-                return None
-        except Exception:
-            logger.exception("an error occurred in _do_heart_beat")
-            return None
-
-    def get_all_dicts(self, namespace):
-        namespace_data = self._cache.get(namespace)
-        if namespace_data is None:
-            net_namespace_data = self.get_json_from_net(namespace)
-            if not net_namespace_data:
-                return namespace_data
-            namespace_data = net_namespace_data.get(CONFIGURATIONS)
-            if namespace_data:
-                self._update_cache_and_file(namespace_data, namespace)
-        return namespace_data

api/configs/remote_settings_sources/apollo/python_3x.py

@@ -1,41 +0,0 @@
-import logging
-import os
-import ssl
-import urllib.request
-from urllib import parse
-from urllib.error import HTTPError
-
-# Create an SSL context that allows for a lower level of security
-ssl_context = ssl.create_default_context()
-ssl_context.set_ciphers("HIGH:!DH:!aNULL")
-ssl_context.check_hostname = False
-ssl_context.verify_mode = ssl.CERT_NONE
-
-# Create an opener object and pass in a custom SSL context
-opener = urllib.request.build_opener(urllib.request.HTTPSHandler(context=ssl_context))
-
-urllib.request.install_opener(opener)
-
-logger = logging.getLogger(__name__)
-
-
-def http_request(url, timeout, headers={}):
-    try:
-        request = urllib.request.Request(url, headers=headers)
-        res = urllib.request.urlopen(request, timeout=timeout)
-        body = res.read().decode("utf-8")
-        return res.code, body
-    except HTTPError as e:
-        if e.code == 304:
-            logger.warning("http_request error,code is 304, maybe you should check secret")
-            return 304, None
-        logger.warning("http_request error,code is %d, msg is %s", e.code, e.msg)
-        raise e
-
-
-def url_encode(params):
-    return parse.urlencode(params)
-
-
-def makedirs_wrapper(path):
-    os.makedirs(path, exist_ok=True)

api/configs/remote_settings_sources/apollo/utils.py

@@ -1,51 +0,0 @@
-import hashlib
-import socket
-
-from .python_3x import url_encode
-
-# define constants
-CONFIGURATIONS = "configurations"
-NOTIFICATION_ID = "notificationId"
-NAMESPACE_NAME = "namespaceName"
-
-
-# add timestamps uris and keys
-def signature(timestamp, uri, secret):
-    import base64
-    import hmac
-
-    string_to_sign = "" + timestamp + "\n" + uri
-    hmac_code = hmac.new(secret.encode(), string_to_sign.encode(), hashlib.sha1).digest()
-    return base64.b64encode(hmac_code).decode()
-
-
-def url_encode_wrapper(params):
-    return url_encode(params)
-
-
-def no_key_cache_key(namespace, key):
-    return "{}{}{}".format(namespace, len(namespace), key)
-
-
-# Returns whether the obtained value is obtained, and None if it does not
-def get_value_from_dict(namespace_cache, key):
-    if namespace_cache:
-        kv_data = namespace_cache.get(CONFIGURATIONS)
-        if kv_data is None:
-            return None
-        if key in kv_data:
-            return kv_data[key]
-    return None
-
-
-def init_ip():
-    ip = ""
-    s = None
-    try:
-        s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-        s.connect(("8.8.8.8", 53))
-        ip = s.getsockname()[0]
-    finally:
-        if s:
-            s.close()
-    return ip

api/configs/remote_settings_sources/base.py

@@ -1,15 +0,0 @@
-from collections.abc import Mapping
-from typing import Any
-
-from pydantic.fields import FieldInfo
-
-
-class RemoteSettingsSource:
-    def __init__(self, configs: Mapping[str, Any]):
-        pass
-
-    def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
-        raise NotImplementedError
-
-    def prepare_field_value(self, field_name: str, field: FieldInfo, value: Any, value_is_complex: bool) -> Any:
-        return value

api/configs/remote_settings_sources/enums.py

@@ -1,5 +0,0 @@
-from enum import StrEnum
-
-
-class RemoteSettingsSourceName(StrEnum):
-    APOLLO = "apollo"

api/constants/__init__.py

@@ -1,24 +1 @@
-from configs import dify_config
-
 HIDDEN_VALUE = "[__HIDDEN__]"
-UUID_NIL = "00000000-0000-0000-0000-000000000000"
-
-IMAGE_EXTENSIONS = ["jpg", "jpeg", "png", "webp", "gif", "svg"]
-IMAGE_EXTENSIONS.extend([ext.upper() for ext in IMAGE_EXTENSIONS])
-
-VIDEO_EXTENSIONS = ["mp4", "mov", "mpeg", "mpga"]
-VIDEO_EXTENSIONS.extend([ext.upper() for ext in VIDEO_EXTENSIONS])
-
-AUDIO_EXTENSIONS = ["mp3", "m4a", "wav", "webm", "amr"]
-AUDIO_EXTENSIONS.extend([ext.upper() for ext in AUDIO_EXTENSIONS])
-
-
-if dify_config.ETL_TYPE == "Unstructured":
-    DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls"]
-    DOCUMENT_EXTENSIONS.extend(("doc", "docx", "csv", "eml", "msg", "pptx", "xml", "epub"))
-    if dify_config.UNSTRUCTURED_API_URL:
-        DOCUMENT_EXTENSIONS.append("ppt")
-    DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])
-else:
-    DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls", "docx", "csv"]
-    DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])

api/constants/languages.py

@@ -17,8 +17,6 @@ language_timezone_mapping = {
     "hi-IN": "Asia/Kolkata",
     "tr-TR": "Europe/Istanbul",
     "fa-IR": "Asia/Tehran",
-    "sl-SI": "Europe/Ljubljana",
-    "th-TH": "Asia/Bangkok",
 }
 
 languages = list(language_timezone_mapping.keys())