compatible query is None

# Conflicts:
#	api/.env.example
#	docker/docker-compose.yaml

.devcontainer/Dockerfile

@@ -1,5 +1,8 @@
-FROM mcr.microsoft.com/devcontainers/python:3.12
+FROM mcr.microsoft.com/devcontainers/python:3.10
+
+COPY . .
+
 
 # [Optional] Uncomment this section to install additional OS packages.
 # RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
-#     && apt-get -y install --no-install-recommends <your-package-list-here>
+#     && apt-get -y install --no-install-recommends <your-package-list-here>

.devcontainer/README.md

@@ -1,4 +1,4 @@
-# Development with devcontainer
+# Devlopment with devcontainer
 This project includes a devcontainer configuration that allows you to open the project in a container with a fully configured development environment.
 Both frontend and backend environments are initialized when the container is started.
 ## GitHub Codespaces
@@ -33,5 +33,5 @@ Performance Impact: While usually minimal, programs running inside a devcontaine
 if you see such error message when you open this project in codespaces:
 ![Alt text](troubleshooting.png)
 
-a simple workaround is change `/signin` endpoint into another one, then login with GitHub account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
+a simple workaround is change `/signin` endpoint into another one, then login with github account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
 The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)

.devcontainer/devcontainer.json

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

.devcontainer/post_create_command.sh

@@ -1,12 +0,0 @@
-#!/bin/bash
-
-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 && 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

.devcontainer/post_start_command.sh

@@ -1,3 +0,0 @@
-#!/bin/bash
-
-cd api && poetry install

.gitattributes

@@ -1,7 +0,0 @@
-# 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 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.
-
-*.sh      text eol=lf

.github/DISCUSSION_TEMPLATE/general.yml

@@ -1,24 +0,0 @@
-title: "General Discussion"
-body:
-  - type: checkboxes
-    attributes:
-      label: Self Checks
-      description: "To make sure we get to you in time, please check the following :)"
-      options:
-        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
-          required: true
-        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-          required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
-          required: true
-  - type: textarea
-    attributes:
-      label: Content
-      placeholder: Please describe the content you would like to discuss.
-    validations:
-      required: true
-  - type: markdown
-    attributes:
-      value: Please limit one request per issue.

.github/DISCUSSION_TEMPLATE/help.yml

@@ -1,30 +0,0 @@
-title: "Help"
-body:
-  - type: checkboxes
-    attributes:
-      label: Self Checks
-      description: "To make sure we get to you in time, please check the following :)"
-      options:
-        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
-          required: true
-        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-          required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
-          required: true
-  - type: textarea
-    attributes:
-      label: 1. Is this request related to a challenge you're experiencing? Tell me about your story.
-      placeholder: Please describe the specific scenario or problem you're facing as clearly as possible. For instance "I was trying to use [feature] for [specific task], and [what happened]... It was frustrating because...."
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: 2. Additional context or comments
-      placeholder: (Any other information, comments, documentations, links, or screenshots that would provide more clarity. This is the place to add anything else not covered above.)
-    validations:
-      required: false
-  - type: markdown
-    attributes:
-      value: Please limit one request per issue.

.github/DISCUSSION_TEMPLATE/suggestion.yml

@@ -1,37 +0,0 @@
-title: Suggestions for New Features
-body:
-  - type: checkboxes
-    attributes:
-      label: Self Checks
-      description: "To make sure we get to you in time, please check the following :)"
-      options:
-        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
-          required: true
-        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
-          required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
-          required: true
-  - type: textarea
-    attributes:
-      label: 1. Is this request related to a challenge you're experiencing? Tell me about your story.
-      placeholder: Please describe the specific scenario or problem you're facing as clearly as possible. For instance "I was trying to use [feature] for [specific task], and [what happened]... It was frustrating because...."
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: 2. Additional context or comments
-      placeholder: (Any other information, comments, documentations, links, or screenshots that would provide more clarity. This is the place to add anything else not covered above.)
-    validations:
-      required: false
-  - type: checkboxes
-    attributes:
-      label: 3. Can you help us with this feature?
-      description: Let us know! This is not a commitment, but a starting point for collaboration.
-      options:
-        - label: I am interested in contributing to this feature.
-          required: false
-  - type: markdown
-    attributes:
-      value: Please limit one request per issue.

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -8,20 +8,17 @@ body:
       label: Self Checks
       description: "To make sure we get to you in time, please check the following :)"
       options:
-        - label: This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
-          required: true
         - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
           required: true
         - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
           required: true
 
   - type: input
     attributes:
       label: Dify version
+      placeholder: 0.3.21
       description: See about section in Dify console
     validations:
       required: true
@@ -41,7 +38,7 @@ body:
   - type: textarea
     attributes:
       label: Steps to reproduce
-      description: We highly suggest including screenshots and a bug report log. Please use the right markdown syntax for code blocks.
+      description: We highly suggest including screenshots and a bug report log.
       placeholder: Having detailed steps helps us reproduce the bug.
     validations:
       required: true

.github/ISSUE_TEMPLATE/config.yml

@@ -1,5 +1,8 @@
 blank_issues_enabled: false
 contact_links:
-  - name: "\U0001F4E7 Discussions"
-    url: https://github.com/langgenius/dify/discussions/categories/general
-    about: General discussions and request help from the community
+  - name: "\U0001F4DA Dify user documentation"
+    url: https://docs.dify.ai/getting-started/readme
+    about: Documentation for users of Dify
+  - name: "\U0001F4DA Dify dev documentation"
+    url: https://docs.dify.ai/getting-started/install-self-hosted
+    about: Documentation for people interested in developing and contributing for Dify

.github/ISSUE_TEMPLATE/document_issue.yml

@@ -1,7 +1,7 @@
 name: "📚 Documentation Issue"
 description: Report issues in our documentation
 labels:
-  - documentation
+  - ducumentation
 body:
   - type: checkboxes
     attributes:
@@ -12,9 +12,7 @@ body:
           required: true
         - label: I confirm that I am using English to submit report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
           required: true
   - type: textarea
     attributes:

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -12,25 +12,35 @@ body:
           required: true
         - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
           required: true
   - type: textarea
     attributes:
-      label: 1. Is this request related to a challenge you're experiencing? Tell me about your story.
+      label: 1. Is this request related to a challenge you're experiencing?
       placeholder: Please describe the specific scenario or problem you're facing as clearly as possible. For instance "I was trying to use [feature] for [specific task], and [what happened]... It was frustrating because...."
     validations:
       required: true
   - type: textarea
     attributes:
-      label: 2. Additional context or comments
+      label: 2. Describe the feature you'd like to see
+      placeholder: Think about what you want to achieve and how this feature will help you. Sketches, flow diagrams, or any visual representation will be a major plus.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 3. How will this feature improve your workflow or experience?
+      placeholder: Tell us how this change will benefit your work. This helps us prioritize based on user impact.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 4. Additional context or comments
       placeholder: (Any other information, comments, documentations, links, or screenshots that would provide more clarity. This is the place to add anything else not covered above.)
     validations:
       required: false
   - type: checkboxes
     attributes:
-      label: 3. Can you help us with this feature?
+      label: 5. Can you help us with this feature?
       description: Let us know! This is not a commitment, but a starting point for collaboration.
       options:
         - label: I am interested in contributing to this feature.

.github/ISSUE_TEMPLATE/help_wanted.yml

@@ -0,0 +1,22 @@
+name: "🤝 Help Wanted"
+description: "Request help from the community [please use English :）]"
+labels:
+  - help-wanted
+body:
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
+          required: true
+        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
+          required: true
+  - type: textarea
+    attributes:
+      label: Provide a description of the help you need
+      placeholder: Briefly describe what you need help with.
+    validations:
+      required: true

.github/ISSUE_TEMPLATE/translation_issue.yml

@@ -12,13 +12,12 @@ body:
           required: true
         - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
           required: true
   - type: input
     attributes:
       label: Dify version
+      placeholder: 0.3.21
       description: Hover over system tray icon or look at Settings
     validations:
       required: true

.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: '1.8.4'
-  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 +1,32 @@
-# Summary
+# Description
 
 Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
 
-> [!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.
+Fixes # (issue)
 
+## Type of Change
 
-# Screenshots
-
-| Before | After |
-|--------|-------|
-| ...    | ...   |
-
-# Checklist
-
-> [!IMPORTANT]  
-> Please review the checklist below before submitting your pull request.
+Please delete options that are not relevant.
 
+- [ ] Bug fix (non-breaking change which fixes an issue)
+- [ ] New feature (non-breaking change which adds functionality)
+- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
 - [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
-- [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
+- [ ] Improvement, including but not limited to code refactoring, performance optimization, and UI/UX improvement
+- [ ] Dependency upgrade
 
+# How Has This Been Tested?
+
+Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
+
+- [ ] TODO
+
+# Suggested Checklist:
+
+- [ ] I have performed a self-review of my own code
+- [ ] I have commented my code, particularly in hard-to-understand areas
+- [ ] My changes generate no new warnings
+- [ ] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
+- [ ] `optional` I have made corresponding changes to the documentation 
+- [ ] `optional` I have added tests that prove my fix is effective or that my feature works
+- [ ] `optional` New and existing unit tests pass locally with my changes

.github/workflows/api-model-runtime-tests.yml

@@ -0,0 +1,45 @@
+name: Run Pytest
+
+on:
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+
+    env:
+      OPENAI_API_KEY: sk-IamNotARealKeyJustForMockTestKawaiiiiiiiiii
+      AZURE_OPENAI_API_BASE: https://difyai-openai.openai.azure.com
+      AZURE_OPENAI_API_KEY: xxxxb1707exxxxxxxxxxaaxxxxxf94
+      ANTHROPIC_API_KEY: sk-ant-api11-IamNotARealKeyJustForMockTestKawaiiiiiiiiii-NotBaka-ASkksz
+      CHATGLM_API_BASE: http://a.abc.com:11451
+      XINFERENCE_SERVER_URL: http://a.abc.com:11451
+      XINFERENCE_GENERATION_MODEL_UID: generate
+      XINFERENCE_CHAT_MODEL_UID: chat
+      XINFERENCE_EMBEDDINGS_MODEL_UID: embedding
+      XINFERENCE_RERANK_MODEL_UID: rerank
+      GOOGLE_API_KEY: abcdefghijklmnopqrstuvwxyz
+      HUGGINGFACE_API_KEY: hf-awuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwu
+      HUGGINGFACE_TEXT_GEN_ENDPOINT_URL: a
+      HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL: b
+      HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL: c
+      MOCK_SWITCH: true
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+          cache: 'pip'
+          cache-dependency-path: ./api/requirements.txt
+
+      - name: Install dependencies
+        run: pip install -r ./api/requirements.txt
+
+      - name: Run pytest
+        run: pytest api/tests/integration_tests/model_runtime/anthropic api/tests/integration_tests/model_runtime/azure_openai api/tests/integration_tests/model_runtime/openai api/tests/integration_tests/model_runtime/chatglm api/tests/integration_tests/model_runtime/google api/tests/integration_tests/model_runtime/xinference api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py

.github/workflows/api-tests.yml

@@ -1,83 +0,0 @@
-name: Run Pytest
-
-on:
-  pull_request:
-    branches:
-      - main
-    paths:
-      - api/**
-      - docker/**
-      - .github/workflows/api-tests.yml
-
-concurrency:
-  group: api-tests-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  test:
-    name: API Tests
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python-version:
-          - "3.11"
-          - "3.12"
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - 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: Check dependencies in pyproject.toml
-        run: poetry run -C api bash dev/pytest/pytest_artifacts.sh
-
-      - name: Run Unit tests
-        run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh
-
-      - name: Run ModelRuntime
-        run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh
-
-      - name: Run dify config tests
-        run: poetry run -C api python dev/pytest/pytest_config_tests.py
-
-      - name: Run Tool
-        run: poetry run -C api bash dev/pytest/pytest_tools.sh
-
-      - name: Run mypy
-        run: |
-          pushd api
-          poetry run python -m mypy --install-types --non-interactive .
-          popd
-
-      - 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 Sandbox
-        uses: hoverkraft-tech/compose-action@v2.0.2
-        with:
-          compose-file: |
-            docker/docker-compose.middleware.yaml
-          services: |
-            sandbox
-            ssrf_proxy
-
-      - name: Run Workflow
-        run: poetry run -C api bash dev/pytest/pytest_workflow.sh

.github/workflows/api-tools-tests.yaml

@@ -0,0 +1,26 @@
+name: Run Tool Pytest
+
+on:
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+          cache: 'pip'
+          cache-dependency-path: ./api/requirements.txt
+
+      - name: Install dependencies
+        run: pip install -r ./api/requirements.txt
+
+      - name: Run pytest
+        run: pytest ./api/tests/integration_tests/tools/test_all_provider.py

.github/workflows/api-workflow-tests.yaml

@@ -0,0 +1,31 @@
+name: Run Pytest
+
+on:
+  pull_request:
+    branches:
+      - main
+      - deploy/dev
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+
+    env:
+      MOCK_SWITCH: true
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+          cache: 'pip'
+          cache-dependency-path: ./api/requirements.txt
+
+      - name: Install dependencies
+        run: pip install -r ./api/requirements.txt
+
+      - name: Run pytest
+        run: pytest api/tests/integration_tests/workflow

.github/workflows/build-push.yml

@@ -5,13 +5,10 @@ on:
     branches:
       - "main"
       - "deploy/dev"
+      - "feat/workflow"
   release:
     types: [published]
 
-concurrency:
-  group: build-push-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
 env:
   DOCKERHUB_USER: ${{ secrets.DOCKERHUB_USER }}
   DOCKERHUB_TOKEN: ${{ secrets.DOCKERHUB_TOKEN }}
@@ -19,123 +16,50 @@ env:
   DIFY_API_IMAGE_NAME: ${{ vars.DIFY_API_IMAGE_NAME || 'langgenius/dify-api' }}
 
 jobs:
-  build:
-    runs-on: ${{ matrix.platform == 'linux/arm64' && 'arm64_runner' || 'ubuntu-latest' }}
-    if: github.repository == 'langgenius/dify'
+  build-and-push:
+    runs-on: ubuntu-latest
+    if: github.event.pull_request.draft == false
     strategy:
       matrix:
         include:
-          - service_name: "build-api-amd64"
-            image_name_env: "DIFY_API_IMAGE_NAME"
-            context: "api"
-            platform: linux/amd64
-          - service_name: "build-api-arm64"
-            image_name_env: "DIFY_API_IMAGE_NAME"
-            context: "api"
-            platform: linux/arm64
-          - service_name: "build-web-amd64"
+          - service_name: "web"
             image_name_env: "DIFY_WEB_IMAGE_NAME"
             context: "web"
-            platform: linux/amd64
-          - service_name: "build-web-arm64"
-            image_name_env: "DIFY_WEB_IMAGE_NAME"
-            context: "web"
-            platform: linux/arm64
-
+          - service_name: "api"
+            image_name_env: "DIFY_API_IMAGE_NAME"
+            context: "api"
     steps:
-      - name: Prepare
-        run: |
-          platform=${{ matrix.platform }}
-          echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
-
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ env.DOCKERHUB_USER }}
-          password: ${{ env.DOCKERHUB_TOKEN }}
-
       - name: Set up QEMU
         uses: docker/setup-qemu-action@v3
 
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
 
-      - name: Extract metadata for Docker
-        id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: ${{ env[matrix.image_name_env] }}
-
-      - name: Build Docker image
-        id: build
-        uses: docker/build-push-action@v6
-        with:
-          context: "{{defaultContext}}:${{ matrix.context }}"
-          platforms: ${{ matrix.platform }}
-          build-args: COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
-          labels: ${{ steps.meta.outputs.labels }}
-          outputs: type=image,name=${{ env[matrix.image_name_env] }},push-by-digest=true,name-canonical=true,push=true
-          cache-from: type=gha,scope=${{ matrix.service_name }}
-          cache-to: type=gha,mode=max,scope=${{ matrix.service_name }}
-
-      - name: Export digest
-        run: |
-          mkdir -p /tmp/digests
-          digest="${{ steps.build.outputs.digest }}"
-          touch "/tmp/digests/${digest#sha256:}"
-
-      - name: Upload digest
-        uses: actions/upload-artifact@v4
-        with:
-          name: digests-${{ matrix.context }}-${{ env.PLATFORM_PAIR }}
-          path: /tmp/digests/*
-          if-no-files-found: error
-          retention-days: 1
-
-  create-manifest:
-    needs: build
-    runs-on: ubuntu-latest
-    if: github.repository == 'langgenius/dify'
-    strategy:
-      matrix:
-        include:
-          - service_name: "merge-api-images"
-            image_name_env: "DIFY_API_IMAGE_NAME"
-            context: "api"
-          - service_name: "merge-web-images"
-            image_name_env: "DIFY_WEB_IMAGE_NAME"
-            context: "web"
-    steps:
-      - name: Download digests
-        uses: actions/download-artifact@v4
-        with:
-          path: /tmp/digests
-          pattern: digests-${{ matrix.context }}-*
-          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 }}
 
-      - name: Extract metadata for Docker
+      - name: Extract metadata (tags, labels) for Docker
         id: meta
         uses: docker/metadata-action@v5
         with:
           images: ${{ env[matrix.image_name_env] }}
           tags: |
-            type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') && !contains(github.ref, '-') }}
+            type=raw,value=latest,enable=${{ github.ref == 'refs/heads/main' && startsWith(github.ref, 'refs/tags/') }}
             type=ref,event=branch
             type=sha,enable=true,priority=100,prefix=,suffix=,format=long
             type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
 
-      - name: Create manifest list and push
-        working-directory: /tmp/digests
-        run: |
-          docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
-            $(printf '${{ env[matrix.image_name_env] }}@sha256:%s ' *)
-
-      - name: Inspect image
-        run: |
-          docker buildx imagetools inspect ${{ env[matrix.image_name_env] }}:${{ steps.meta.outputs.version }}
+      - name: Build and push
+        uses: docker/build-push-action@v5
+        with:
+          context: "{{defaultContext}}:${{ matrix.context }}"
+          platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
+          build-args: COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max

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

@@ -1,55 +0,0 @@
-name: DB Migration Test
-
-on:
-  pull_request:
-    branches:
-      - main
-    paths:
-      - api/migrations/**
-      - .github/workflows/db-migration-test.yml
-
-concurrency:
-  group: db-migration-test-${{ github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  db-migration-test:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Setup Poetry and Python
-        uses: ./.github/actions/setup-poetry
-        with:
-          poetry-lockfile: api/poetry.lock
-
-      - name: Install dependencies
-        run: poetry install -C api
-
-      - name: Prepare middleware env
-        run: |
-          cd docker
-          cp middleware.env.example middleware.env
-
-      - name: Set up Middlewares
-        uses: hoverkraft-tech/compose-action@v2.0.2
-        with:
-          compose-file: |
-            docker/docker-compose.middleware.yaml
-          services: |
-            db
-            redis
-
-      - name: Prepare configs
-        run: |
-          cd api
-          cp .env.example .env
-
-      - name: Run DB Migration
-        env:
-          DEBUG: true
-        run: |
-          cd api
-          poetry run python -m flask upgrade-db

.github/workflows/expose_service_ports.sh

@@ -1,14 +0,0 @@
-#!/bin/bash
-
-yq eval '.services.weaviate.ports += ["8080:8080"]' -i docker/docker-compose.yaml
-yq eval '.services.qdrant.ports += ["6333:6333"]' -i docker/docker-compose.yaml
-yq eval '.services.chroma.ports += ["8000:8000"]' -i docker/docker-compose.yaml
-yq eval '.services["milvus-standalone"].ports += ["19530:19530"]' -i docker/docker-compose.yaml
-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/docker-compose.yaml
-
-echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase"

.github/workflows/style.yml

@@ -6,7 +6,7 @@ on:
       - main
 
 concurrency:
-  group: style-${{ github.head_ref || github.run_id }}
+  group: dep-${{ github.head_ref || github.run_id }}
   cancel-in-progress: true
 
 jobs:
@@ -18,120 +18,51 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Check changed files
-        id: changed-files
-        uses: tj-actions/changed-files@v45
+      - name: Set up Python
+        uses: actions/setup-python@v5
         with:
-          files: |
-            api/**
-            .github/workflows/style.yml
+          python-version: '3.10'
 
-      - name: Setup Poetry and Python
-        if: steps.changed-files.outputs.any_changed == 'true'
-        uses: ./.github/actions/setup-poetry
-
-      - name: Install dependencies
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: poetry install -C api --only lint
+      - name: Python dependencies
+        run: pip install ruff
 
       - name: Ruff check
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: |
-          poetry run -C api ruff --version
-          poetry run -C api ruff check ./api
-          poetry run -C api ruff format --check ./api
-
-      - name: Dotenv check
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
+        run: ruff check ./api
 
       - name: Lint hints
         if: failure()
         run: echo "Please run 'dev/reformat' to fix the fixable linting errors."
 
-  web-style:
-    name: Web Style
+  test:
+    name: ESLint and SuperLinter
     runs-on: ubuntu-latest
-    defaults:
-      run:
-        working-directory: ./web
+    needs: python-style
 
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
-
-      - name: Check changed files
-        id: changed-files
-        uses: tj-actions/changed-files@v45
         with:
-          files: web/**
+          fetch-depth: 0
 
       - name: Setup NodeJS
         uses: actions/setup-node@v4
-        if: steps.changed-files.outputs.any_changed == 'true'
         with:
           node-version: 20
           cache: yarn
           cache-dependency-path: ./web/package.json
 
       - name: Web dependencies
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: yarn install --frozen-lockfile
+        run: |
+          cd ./web
+          yarn install --frozen-lockfile
 
       - name: Web style check
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: yarn run lint
-
-  docker-compose-template:
-    name: Docker Compose Template
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - 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
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Check changed files
-        id: changed-files
-        uses: tj-actions/changed-files@v45
-        with:
-          files: |
-            **.sh
-            **.yaml
-            **.yml
-            **Dockerfile
-            dev/**
+          cd ./web
+          yarn run lint
 
       - name: Super-linter
-        uses: super-linter/super-linter/slim@v7
-        if: steps.changed-files.outputs.any_changed == 'true'
+        uses: super-linter/super-linter/slim@v6
         env:
           BASH_SEVERITY: warning
           DEFAULT_BRANCH: main
@@ -140,8 +71,6 @@ jobs:
           IGNORE_GITIGNORED_FILES: true
           VALIDATE_BASH: true
           VALIDATE_BASH_EXEC: true
-          # FIXME: temporarily disabled until api-docker.yaml's run script is fixed for shellcheck
-          # VALIDATE_GITHUB_ACTIONS: true
+          VALIDATE_GITHUB_ACTIONS: true
           VALIDATE_DOCKERFILE_HADOLINT: true
-          VALIDATE_XML: true
           VALIDATE_YAML: true

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

@@ -4,13 +4,6 @@ on:
   pull_request:
     branches:
       - main
-    paths:
-      - sdks/**
-
-concurrency:
-  group: sdk-tests-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
 jobs:
   build:
     name: unit test for Node.js SDK

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

@@ -1,54 +0,0 @@
-name: Check i18n Files and Create PR
-
-on:
-  pull_request:
-    types: [closed]
-    branches: [main]
-
-jobs:
-  check-and-update:
-    if: github.event.pull_request.merged == true
-    runs-on: ubuntu-latest
-    defaults:
-      run:
-        working-directory: web
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          fetch-depth: 2 # last 2 commits
-
-      - name: Check for file changes in i18n/en-US
-        id: check_files
-        run: |
-          recent_commit_sha=$(git rev-parse HEAD)
-          second_recent_commit_sha=$(git rev-parse HEAD~1)
-          changed_files=$(git diff --name-only $recent_commit_sha $second_recent_commit_sha -- 'i18n/en-US/*.ts')
-          echo "Changed files: $changed_files"
-          if [ -n "$changed_files" ]; then
-            echo "FILES_CHANGED=true" >> $GITHUB_ENV
-          else
-            echo "FILES_CHANGED=false" >> $GITHUB_ENV
-          fi
-
-      - name: Set up Node.js
-        if: env.FILES_CHANGED == 'true'
-        uses: actions/setup-node@v2
-        with:
-          node-version: 'lts/*'
-
-      - name: Install dependencies
-        if: env.FILES_CHANGED == 'true'
-        run: yarn install --frozen-lockfile
-
-      - name: Run npm script
-        if: env.FILES_CHANGED == 'true'
-        run: npm run auto-gen-i18n
-
-      - name: Create Pull Request
-        if: env.FILES_CHANGED == 'true'
-        uses: peter-evans/create-pull-request@v6
-        with:
-          commit-message: Update i18n files based on en-US changes
-          title: 'chore: translate i18n files'
-          body: This PR was automatically created to update i18n files based on changes in en-US locale.
-          branch: chore/automated-i18n-updates

.github/workflows/vdb-tests.yml

@@ -1,73 +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
-
-      - 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 Stores (TiDB, 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
-            tidb
-
-      - name: Test Vector Stores
-        run: poetry run -C api bash dev/pytest/pytest_vdb.sh

.github/workflows/web-tests.yml

@@ -1,46 +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
-
-      - name: Check changed files
-        id: changed-files
-        uses: tj-actions/changed-files@v45
-        with:
-          files: web/**
-
-      - name: Setup Node.js
-        uses: actions/setup-node@v4
-        if: steps.changed-files.outputs.any_changed == 'true'
-        with:
-          node-version: 20
-          cache: yarn
-          cache-dependency-path: ./web/package.json
-
-      - name: Install dependencies
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: yarn install --frozen-lockfile
-
-      - name: Run tests
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: yarn test

.gitignore

@@ -134,31 +134,13 @@ dmypy.json
 web/.vscode/settings.json
 
 # Intellij IDEA Files
-.idea/*
-!.idea/vcs.xml
-!.idea/icon.png
+.idea/
 .ideaDataSources/
-*.iml
-api/.idea
 
 api/.env
 api/storage/*
 
-docker-legacy/volumes/app/storage/*
-docker-legacy/volumes/db/data/*
-docker-legacy/volumes/redis/data/*
-docker-legacy/volumes/weaviate/*
-docker-legacy/volumes/qdrant/*
-docker-legacy/volumes/etcd/*
-docker-legacy/volumes/minio/*
-docker-legacy/volumes/milvus/*
-docker-legacy/volumes/chroma/*
-docker-legacy/volumes/opensearch/data/*
-docker-legacy/volumes/pgvectors/data/*
-docker-legacy/volumes/pgvector/data/*
-
 docker/volumes/app/storage/*
-docker/volumes/certbot/*
 docker/volumes/db/data/*
 docker/volumes/redis/data/*
 docker/volumes/weaviate/*
@@ -166,21 +148,6 @@ docker/volumes/qdrant/*
 docker/volumes/etcd/*
 docker/volumes/minio/*
 docker/volumes/milvus/*
-docker/volumes/chroma/*
-docker/volumes/opensearch/data/*
-docker/volumes/myscale/data/*
-docker/volumes/myscale/log/*
-docker/volumes/unstructured/*
-docker/volumes/pgvector/data/*
-docker/volumes/pgvecto_rs/data/*
-docker/volumes/couchbase/*
-docker/volumes/oceanbase/*
-!docker/volumes/oceanbase/init.d
-
-docker/nginx/conf.d/default.conf
-docker/nginx/ssl/*
-!docker/nginx/ssl/.gitkeep
-docker/middleware.env
 
 sdks/python-client/build
 sdks/python-client/dist
@@ -189,7 +156,3 @@ sdks/python-client/dify_client.egg-info
 .vscode/*
 !.vscode/launch.json
 pyrightconfig.json
-api/.vscode
-
-.idea/
-.vscode

CONTRIBUTING.md

@@ -1,23 +1,23 @@
-# 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.
 
-In terms of licensing, please take a minute to read our short [License and Contributor Agreement](./LICENSE). The community also adheres to the [code of conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
+In terms of licensing, please take a minute to read our short [License and Contributor Agreement](./license). The community also adheres to the [code of conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
 
 ## Before you jump in
 
-[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:open) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:
+[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:
 
-### Feature requests
+### 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:
@@ -36,11 +36,11 @@ In terms of licensing, please take a minute to read our short [License and Contr
   | Feature Type                                                 | Priority        |
   | ------------------------------------------------------------ | --------------- |
   | High-Priority Features as being labeled by a team member     | High Priority   |
-  | Popular feature requests from our [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Medium Priority |
+  | Popular feature requests from our [community feedback board](https://feedback.dify.ai/) | Medium Priority |
   | Non-core features and minor enhancements                     | Low Priority    |
   | Valuable but not immediate                                   | Future-Feature  |
 
-### Anything else (e.g. bug report, performance optimization, typo correction)
+### 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)
-* [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
-* [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/getting-started/faq/install-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

@@ -2,17 +2,17 @@
 
 考虑到我们的现状，我们需要灵活快速地交付，但我们也希望确保像你这样的贡献者在贡献过程中获得尽可能顺畅的体验。我们为此编写了这份贡献指南，旨在让你熟悉代码库和我们与贡献者的合作方式，以便你能快速进入有趣的部分。
 
-这份指南，就像 Dify 本身一样，是一个不断改进的工作。如果有时它落后于实际项目，我们非常感谢你的理解，并欢迎提供任何反馈以供我们改进。
+这份指南，就像 Dify 本身一样，是一个不断改进的工作。如果有时它落后于实际项目，我们非常感谢你的理解，并欢迎任何反馈以供我们改进。
 
-在许可方面，请花一分钟阅读我们简短的 [许可证和贡献者协议](./LICENSE)。社区还遵守 [行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
+在许可方面，请花一分钟阅读我们简短的[许可证和贡献者协议](./license)。社区还遵守[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
 
 ## 在开始之前
 
-[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:open)现有问题，或 [创建](https://github.com/langgenius/dify/issues/new/choose) 一个新问题。我们将问题分为两类：
+[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:closed)现有问题，或[创建](https://github.com/langgenius/dify/issues/new/choose)一个新问题。我们将问题分为两类：
 
 ### 功能请求：
 
-* 如果您要提出新的功能请求，请解释所提议的功能的目标，并尽可能提供详细的上下文。[@perzeusss](https://github.com/perzeuss) 制作了一个很好的 [功能请求助手](https://udify.app/chat/MK2kVSnw1gakVwMX)，可以帮助您起草需求。随时尝试一下。
+* 如果您要提出新的功能请求，请解释所提议的功能的目标，并尽可能提供详细的上下文。[@perzeusss](https://github.com/perzeuss)制作了一个很好的[功能请求助手](https://udify.app/chat/MK2kVSnw1gakVwMX)，可以帮助您起草需求。随时尝试一下。
 
 * 如果您想从现有问题中选择一个，请在其下方留下评论表示您的意愿。
 
@@ -20,44 +20,45 @@
 
 根据所提议的功能所属的领域不同，您可能需要与不同的团队成员交流。以下是我们团队成员目前正在从事的各个领域的概述：
 
-  | 团队成员                                                       | 工作范围                                                |
+  | Member                                                       | Scope                                                |
   | ------------------------------------------------------------ | ---------------------------------------------------- |
-  | [@yeuoly](https://github.com/Yeuoly)                         | 架构 Agents                                  |
-  | [@jyong](https://github.com/JohnJyong)                       | RAG 流水线设计                                  |
-  | [@GarfieldDai](https://github.com/GarfieldDai)               | 构建 workflow 编排                     |
-  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | 让我们的前端更易用                  |
-  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 开发人员体验, 综合事项联系人 |
-  | [@takatost](https://github.com/takatost)                     | 产品整体方向和架构           |
+  | [@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           |
 
-  事项优先级：
+  How we prioritize:
 
-  | 功能类型                                                 | 优先级        |
+  | Feature Type                                                 | Priority        |
   | ------------------------------------------------------------ | --------------- |
-  | 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  |
+  | High-Priority Features as being labeled by a team member     | High Priority   |
+  | Popular feature requests from our [community feedback board](https://feedback.dify.ai/) | Medium Priority |
+  | Non-core features and minor enhancements                     | Low Priority    |
+  | Valuable but not immediate                                   | Future-Feature  |
 
-### 其他任何事情（例如 bug 报告、性能优化、拼写错误更正）：
+### 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。
 
-  事项优先级：
+  How we prioritize:
 
-  | Issue 类型                                                   | 优先级        |
+  | Issue Type                                                   | Priority        |
   | ------------------------------------------------------------ | --------------- |
-  | 核心功能的 Bugs（例如无法登录、应用无法工作、安全漏洞） | 紧急        |
-  | 非紧急 bugs, 性能提升                        | 中等优先级 |
-  | 小幅修复(错别字, 能正常工作但存在误导的 UI)                | 低优先级    |
+  | Bugs in core functions (cannot login, applications not working, security loopholes) | Critical        |
+  | Non-critical bugs, performance boosts                        | Medium Priority |
+  | Minor fixes (typos, confusing but working UI)                | Low Priority    |
+
 
 ## 安装
 
-以下是设置 Dify 进行开发的步骤：
+以下是设置Dify进行开发的步骤：
 
-### 1. Fork 该仓库
+### 1. Fork该仓库
 
 ### 2. 克隆仓库
 
-从终端克隆代码仓库：
+从终端克隆fork的仓库：
 
 ```
 git clone git@github.com:<github_username>/dify.git
@@ -71,76 +72,76 @@ Dify 依赖以下工具和库：
 - [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 3.11.x or 3.12.x
+- [Python](https://www.python.org/) version 3.10.x
 
 ### 4. 安装
 
-Dify 由后端和前端组成。通过 `cd api/` 导航到后端目录，然后按照 [后端 README](api/README.md) 进行安装。在另一个终端中，通过 `cd web/` 导航到前端目录，然后按照 [前端 README](web/README.md) 进行安装。
+Dify由后端和前端组成。通过`cd api/`导航到后端目录，然后按照[后端README](api/README.md)进行安装。在另一个终端中，通过`cd web/`导航到前端目录，然后按照[前端README](web/README.md)进行安装。
 
-查看 [安装常见问题解答](https://docs.dify.ai/v/zh-hans/learn-more/faq/install-faq) 以获取常见问题列表和故障排除步骤。
+查看[安装常见问题解答](https://docs.dify.ai/getting-started/faq/install-faq)以获取常见问题列表和故障排除步骤。
 
-### 5. 在浏览器中访问 Dify
+### 5. 在浏览器中访问Dify
 
-为了验证您的设置，打开浏览器并访问 [http://localhost:3000](http://localhost:3000)（默认或您自定义的 URL 和端口）。现在您应该看到 Dify 正在运行。
+为了验证您的设置，打开浏览器并访问[http://localhost:3000](http://localhost:3000)（默认或您自定义的URL和端口）。现在您应该看到Dify正在运行。
 
 ## 开发
 
-如果您要添加模型提供程序，请参考 [此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
+如果您要添加模型提供程序，请参考[此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
 
-如果您要向 Agent 或 Workflow 添加工具提供程序，请参考 [此指南](./api/core/tools/README.md)。
+如果您要向Agent或Workflow添加工具提供程序，请参考[此指南](./api/core/tools/README.md)。
 
-为了帮助您快速了解您的贡献在哪个部分，以下是 Dify 后端和前端的简要注释大纲：
+为了帮助您快速了解您的贡献在哪个部分，以下是Dify后端和前端的简要注释大纲：
 
 ### 后端
 
-Dify 的后端使用 Python 编写，使用 [Flask](https://flask.palletsprojects.com/en/3.0.x/) 框架。它使用 [SQLAlchemy](https://www.sqlalchemy.org/) 作为 ORM，使用 [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) 作为任务队列。授权逻辑通过 Flask-login 进行处理。
+Dify的后端使用Python编写，使用[Flask](https://flask.palletsprojects.com/en/3.0.x/)框架。它使用[SQLAlchemy](https://www.sqlalchemy.org/)作为ORM，使用[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)作为任务队列。授权逻辑通过Flask-login进行处理。
 
 ```
 [api/]
-├── constants             // 用于整个代码库的常量设置。
-├── controllers           // API 路由定义和请求处理逻辑。
-├── core                  // 核心应用编排、模型集成和工具。
-├── docker                // Docker 和容器化相关配置。
-├── events                // 事件处理和处理。
-├── extensions            // 与第三方框架/平台的扩展。
-├── fields                // 用于序列化/封装的字段定义。
-├── libs                  // 可重用的库和助手。
-├── migrations            // 数据库迁移脚本。
-├── models                // 数据库模型和架构定义。
-├── services              // 指定业务逻辑。
-├── storage               // 私钥存储。
-├── tasks                 // 异步任务和后台作业的处理。
+├── constants             // Constant settings used throughout code base.
+├── controllers           // API route definitions and request handling logic.           
+├── core                  // Core application orchestration, model integrations, and tools.
+├── docker                // Docker & containerization related configurations.
+├── events                // Event handling and processing
+├── extensions            // Extensions with 3rd party frameworks/platforms.
+├── fields                // field definitions for serialization/marshalling.
+├── libs                  // Reusable libraries and helpers.
+├── migrations            // Scripts for database migration.
+├── models                // Database models & schema definitions.
+├── services              // Specifies business logic.
+├── storage               // Private key storage.      
+├── tasks                 // Handling of async tasks and background jobs.
 └── tests
 ```
 
 ### 前端
 
-该网站使用基于 Typescript 的 [Next.js](https://nextjs.org/) 模板进行引导，并使用 [Tailwind CSS](https://tailwindcss.com/) 进行样式设计。[React-i18next](https://react.i18next.com/) 用于国际化。
+该网站使用基于Typescript的[Next.js](https://nextjs.org/)模板进行引导，并使用[Tailwind CSS](https://tailwindcss.com/)进行样式设计。[React-i18next](https://react.i18next.com/)用于国际化。
 
 ```
 [web/]
-├── app                   // 布局、页面和组件
-│   ├── (commonLayout)    // 整个应用通用的布局
-│   ├── (shareLayout)     // 在特定会话中共享的布局
-│   ├── activate          // 激活页面
-│   ├── components        // 页面和布局共享的组件
-│   ├── install           // 安装页面
-│   ├── signin            // 登录页面
-│   └── styles            // 全局共享的样式
-├── assets                // 静态资源
-├── bin                   // 构建步骤运行的脚本
-├── config                // 可调整的设置和选项
-├── context               // 应用中不同部分使用的共享上下文
-├── dictionaries          // 语言特定的翻译文件
-├── docker                // 容器配置
-├── hooks                 // 可重用的钩子
-├── i18n                  // 国际化配置
-├── 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
-├── types                 // 函数参数和返回值的描述
-└── utils                 // 共享的实用函数
+├── app                   // layouts, pages, and components
+│   ├── (commonLayout)    // common layout used throughout the app
+│   ├── (shareLayout)     // layouts specifically shared across token-specific sessions 
+│   ├── activate          // activate page
+│   ├── components        // shared by pages and layouts
+│   ├── install           // install page
+│   ├── signin            // signin page
+│   └── styles            // globally shared styles
+├── assets                // Static assets
+├── bin                   // scripts ran at build step
+├── config                // adjustable settings and options 
+├── context               // shared contexts used by different portions of the app
+├── dictionaries          // Language-specific translate files 
+├── docker                // container configurations
+├── hooks                 // Reusable hooks
+├── i18n                  // Internationalization configuration
+├── models                // describes data models & shapes of API responses
+├── public                // meta assets like favicon
+├── service               // specifies shapes of API actions
+├── test                  
+├── types                 // descriptions of function params and return values
+└── utils                 // Shared utility functions
 ```
 
 ## 提交你的 PR

CONTRIBUTING_JA.md

@@ -1,160 +0,0 @@
-Dify にコントリビュートしたいとお考えなのですね。それは素晴らしいことです。
-私たちは、LLM アプリケーションの構築と管理のための最も直感的なワークフローを設計するという壮大な野望を持っています。人数も資金も限られている新興企業として、コミュニティからの支援は本当に重要です。
-
-私たちは現状を鑑み、機敏かつ迅速に開発をする必要がありますが、同時にあなた様のようなコントリビューターの方々に、可能な限りスムーズな貢献体験をしていただきたいと思っています。そのためにこのコントリビュートガイドを作成しました。
-コードベースやコントリビュータの方々と私たちがどのように仕事をしているのかに慣れていただき、楽しいパートにすぐに飛び込めるようにすることが目的です。
-
-このガイドは Dify そのものと同様に、継続的に改善されています。実際のプロジェクトに遅れをとることがあるかもしれませんが、ご理解のほどよろしくお願いいたします。
-
-ライセンスに関しては、私たちの短い[ライセンスおよびコントリビューター規約](./LICENSE)をお読みください。また、コミュニティは[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を遵守しています。
-
-## 飛び込む前に
-
-[既存の Issue](https://github.com/langgenius/dify/issues?q=is:issue+is:open) を探すか、[新しい Issue](https://github.com/langgenius/dify/issues/new/choose) を作成してください。私たちは Issue を 2 つのタイプに分類しています。
-
-### 機能リクエスト
-
-* 新しい機能要望を出す場合は、提案する機能が何を実現するものなのかを説明し、可能な限り多くのコンテキストを含めてください。[@perzeusss](https://github.com/perzeuss)は、あなた様の要望を書き出すのに役立つ [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) を作ってくれました。気軽に試してみてください。
-
-* 既存の課題から 1 つ選びたい場合は、その下にコメントを書いてください。
-
-  関連する方向で作業しているチームメンバーが参加します。すべてが良好であれば、コーディングを開始する許可が与えられます。私たちが変更を提案した場合にあなた様の作業が無駄になることがないよう、それまでこの機能の作業を控えていただくようお願いいたします。
-
-  提案された機能がどの分野に属するかによって、あなた様は異なるチーム・メンバーと話をするかもしれません。以下は、各チームメンバーが現在取り組んでいる分野の概要です。
-
-| Member                                                                                  | Scope                                |
-| --------------------------------------------------------------------------------------- | ------------------------------------ |
-| [@yeuoly](https://github.com/Yeuoly)                                                    | エージェントアーキテクチャ           |
-| [@jyong](https://github.com/JohnJyong)                                                  | RAG パイプライン設計                 |
-| [@GarfieldDai](https://github.com/GarfieldDai)                                          | workflow orchestrations の構築       |
-| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh)           | フロントエンドを使いやすくする       |
-| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 開発者体験、何でも相談できる窓口     |
-| [@takatost](https://github.com/takatost)                                                | 全体的な製品の方向性とアーキテクチャ |
-
-優先順位の付け方:
-
-| Feature Type                                                                                                          | Priority        |
-| --------------------------------------------------------------------------------------------------------------------- | --------------- |
-| チームメンバーによってラベル付けされた優先度の高い機能                                                                | High Priority   |
-| [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks)の人気の機能リクエスト | Medium Priority |
-| 非コア機能とマイナーな機能強化                                                                                        | Low Priority    |
-| 価値はあるが即効性はない                                                                                              | Future-Feature  |
-
-### その他 (バグレポート、パフォーマンスの最適化、誤字の修正など)
-
-* すぐにコーディングを始めてください
-
-優先順位の付け方:
-
-| Issue Type                                                                             | Priority        |
-| -------------------------------------------------------------------------------------- | --------------- |
-| コア機能のバグ（ログインできない、アプリケーションが動作しない、セキュリティの抜け穴） | Critical        |
-| 致命的でないバグ、パフォーマンス向上                                                   | Medium Priority |
-| 細かな修正（誤字脱字、機能はするが分かりにくい UI）                                  | Low Priority    |
-
-## インストール
-
-以下の手順で 、Difyのセットアップをしてください。
-
-### 1. このリポジトリをフォークする
-
-### 2. リポジトリをクローンする
-
-フォークしたリポジトリをターミナルからクローンします。
-
-```
-git clone git@github.com:<github_username>/dify.git
-```
-
-### 3. 依存関係の確認
-
-Dify を構築するには次の依存関係が必要です。それらがシステムにインストールされていることを確認してください。
-
-- [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 3.11.x or 3.12.x
-
-### 4. インストール
-
-Dify はバックエンドとフロントエンドから構成されています。
-まず`cd api/`でバックエンドのディレクトリに移動し、[Backend README](api/README.md)に従ってインストールします。
-次に別のターミナルで、`cd web/`でフロントエンドのディレクトリに移動し、[Frontend README](web/README.md)に従ってインストールしてください。
-
-よくある問題とトラブルシューティングの手順については、[installation FAQ](https://docs.dify.ai/v/japanese/learn-more/faq/install-faq) を確認してください。
-
-### 5. ブラウザで dify にアクセスする
-
-設定を確認するために、ブラウザで[http://localhost:3000](http://localhost:3000)(デフォルト、または自分で設定した URL とポート)にアクセスしてください。Dify が起動して実行中であることが確認できるはずです。
-
-## 開発中
-
-モデルプロバイダーを追加する場合は、[このガイド](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)が役立ちます。
-
-Agent や Workflow にツールプロバイダーを追加する場合は、[このガイド](./api/core/tools/README.md)が役立ちます。
-
-Dify のバックエンドとフロントエンドの概要を簡単に説明します。
-
-### バックエンド
-
-Dify のバックエンドは[Flask](https://flask.palletsprojects.com/en/3.0.x/)を使って Python で書かれています。ORM には[SQLAlchemy](https://www.sqlalchemy.org/)を、タスクキューには[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)を使っています。認証ロジックは Flask-login 経由で行われます。
-
-```
-[api/]
-├── constants             // コードベース全体で使用される定数設定
-├── controllers           // APIルート定義とリクエスト処理ロジック
-├── core                  // アプリケーションの中核的な管理、モデル統合、およびツール
-├── docker                // Dockerおよびコンテナ関連の設定
-├── events                // イベントのハンドリングと処理
-├── extensions            // 第三者のフレームワーク/プラットフォームとの拡張
-├── fields                // シリアライゼーション/マーシャリング用のフィールド定義
-├── libs                  // 再利用可能なライブラリとヘルパー
-├── migrations            // データベースマイグレーションスクリプト
-├── models                // データベースモデルとスキーマ定義
-├── services              // ビジネスロジックの定義
-├── storage               // 秘密鍵の保存
-├── tasks                 // 非同期タスクとバックグラウンドジョブの処理
-└── tests                 // テスト関連のファイル
-```
-
-### フロントエンド
-
-このウェブサイトは、Typescriptベースの[Next.js](https://nextjs.org/)テンプレートを使ってブートストラップされ、[Tailwind CSS](https://tailwindcss.com/)を使ってスタイリングされています。国際化には[React-i18next](https://react.i18next.com/)を使用しています。
-
-```
-[web/]
-├── app                   // レイアウト、ページ、コンポーネント
-│   ├── (commonLayout)    // アプリ全体で共通のレイアウト
-│   ├── (shareLayout)     // トークン特有のセッションで共有されるレイアウト
-│   ├── activate          // アクティベートページ
-│   ├── components        // ページやレイアウトで共有されるコンポーネント
-│   ├── install           // インストールページ
-│   ├── signin            // サインインページ
-│   └── styles            // グローバルに共有されるスタイル
-├── assets                // 静的アセット
-├── bin                   // ビルドステップで実行されるスクリプト
-├── config                // 調整可能な設定とオプション
-├── context               // アプリの異なる部分で使用される共有コンテキスト
-├── dictionaries          // 言語別の翻訳ファイル
-├── docker                // コンテナ設定
-├── hooks                 // 再利用可能なフック
-├── i18n                  // 国際化設定
-├── models                // データモデルとAPIレスポンスの形状を記述
-├── public                // ファビコンなどのメタアセット
-├── service               // APIアクションの形状を指定
-├── test
-├── types                 // 関数のパラメータと戻り値の記述
-└── utils                 // 共有ユーティリティ関数
-```
-
-## PR を投稿する
-
-いよいよ、私たちのリポジトリにプルリクエスト (PR) を提出する時が来ました。主要な機能については、まず `deploy/dev` ブランチにマージしてテストしてから `main` ブランチにマージします。
-マージ競合などの問題が発生した場合、またはプル リクエストを開く方法がわからない場合は、[GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) をチェックしてみてください。
-
-これで完了です！あなた様の PR がマージされると、[README](https://github.com/langgenius/dify/blob/main/README.md) にコントリビューターとして紹介されます。
-
-## ヘルプを得る
-
-コントリビュート中に行き詰まったり、疑問が生じたりした場合は、GitHub の関連する issue から質問していただくか、[Discord](https://discord.gg/8Tpq4AcN9c)でチャットしてください。

CONTRIBUTING_VI.md

@@ -1,156 +0,0 @@
-Thật tuyệt vời khi bạn muốn đóng góp cho Dify! Chúng tôi rất mong chờ được thấy những gì bạn sẽ làm. Là một startup với nguồn nhân lực và tài chính hạn chế, chúng tôi có tham vọng lớn là thiết kế quy trình trực quan nhất để xây dựng và quản lý các ứng dụng LLM. Mọi sự giúp đỡ từ cộng đồng đều rất quý giá đối với chúng tôi.
-
-Chúng tôi cần linh hoạt và làm việc nhanh chóng, nhưng đồng thời cũng muốn đảm bảo các cộng tác viên như bạn có trải nghiệm đóng góp thuận lợi nhất có thể. Chúng tôi đã tạo ra hướng dẫn đóng góp này nhằm giúp bạn làm quen với codebase và cách chúng tôi làm việc với các cộng tác viên, để bạn có thể nhanh chóng bắt tay vào phần thú vị.
-
-Hướng dẫn này, cũng như bản thân Dify, đang trong quá trình cải tiến liên tục. Chúng tôi rất cảm kích sự thông cảm của bạn nếu đôi khi nó không theo kịp dự án thực tế, và chúng tôi luôn hoan nghênh mọi phản hồi để cải thiện.
-
-Về vấn đề cấp phép, xin vui lòng dành chút thời gian đọc qua [Thỏa thuận Cấp phép và Đóng góp](./LICENSE) ngắn gọn của chúng tôi. Cộng đồng cũng tuân thủ [quy tắc ứng xử](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
-
-## Trước khi bắt đầu
-
-[Tìm kiếm](https://github.com/langgenius/dify/issues?q=is:issue+is:open) một vấn đề hiện có, hoặc [tạo mới](https://github.com/langgenius/dify/issues/new/choose) một vấn đề. Chúng tôi phân loại các vấn đề thành 2 loại:
-
-### Yêu cầu tính năng:
-
-* Nếu bạn đang tạo một yêu cầu tính năng mới, chúng tôi muốn bạn giải thích tính năng đề xuất sẽ đạt được điều gì và cung cấp càng nhiều thông tin chi tiết càng tốt. [@perzeusss](https://github.com/perzeuss) đã tạo một [Trợ lý Yêu cầu Tính năng](https://udify.app/chat/MK2kVSnw1gakVwMX) rất hữu ích để giúp bạn soạn thảo nhu cầu của mình. Hãy thử dùng nó nhé.
-
-* Nếu bạn muốn chọn một vấn đề từ danh sách hiện có, chỉ cần để lại bình luận dưới vấn đề đó nói rằng bạn sẽ làm.
-
-  Một thành viên trong nhóm làm việc trong lĩnh vực liên quan sẽ được thông báo. Nếu mọi thứ ổn, họ sẽ cho phép bạn bắt đầu code. Chúng tôi yêu cầu bạn chờ đợi cho đến lúc đó trước khi bắt tay vào làm tính năng, để không lãng phí công sức của bạn nếu chúng tôi đề xuất thay đổi.
-
-  Tùy thuộc vào lĩnh vực mà tính năng đề xuất thuộc về, bạn có thể nói chuyện với các thành viên khác nhau trong nhóm. Dưới đây là danh sách các lĩnh vực mà các thành viên trong nhóm chúng tôi đang làm việc hiện tại:
-
-  | Thành viên                                                   | Phạm vi                                              |
-  | ------------------------------------------------------------ | ---------------------------------------------------- |
-  | [@yeuoly](https://github.com/Yeuoly)                         | Thiết kế kiến trúc Agents                            |
-  | [@jyong](https://github.com/JohnJyong)                       | Thiết kế quy trình RAG                               |
-  | [@GarfieldDai](https://github.com/GarfieldDai)               | Xây dựng quy trình làm việc                          |
-  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Làm cho giao diện người dùng dễ sử dụng              |
-  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Trải nghiệm nhà phát triển, đầu mối liên hệ cho mọi vấn đề |
-  | [@takatost](https://github.com/takatost)                     | Định hướng và kiến trúc tổng thể sản phẩm            |
-
-  Cách chúng tôi ưu tiên:
-
-  | Loại tính năng                                               | Mức độ ưu tiên |
-  | ------------------------------------------------------------ | -------------- |
-  | Tính năng ưu tiên cao được gắn nhãn bởi thành viên trong nhóm | Ưu tiên cao    |
-  | Yêu cầu tính năng phổ biến từ [bảng phản hồi cộng đồng](https://github.com/langgenius/dify/discussions/categories/feedbacks) của chúng tôi | Ưu tiên trung bình |
-  | Tính năng không quan trọng và cải tiến nhỏ                   | Ưu tiên thấp   |
-  | Có giá trị nhưng không cấp bách                              | Tính năng tương lai |
-
-### Những vấn đề khác (ví dụ: báo cáo lỗi, tối ưu hiệu suất, sửa lỗi chính tả):
-
-* Bắt đầu code ngay lập tức.
-
-  Cách chúng tôi ưu tiên:
-
-  | Loại vấn đề                                                  | Mức độ ưu tiên |
-  | ------------------------------------------------------------ | -------------- |
-  | Lỗi trong các chức năng chính (không thể đăng nhập, ứng dụng không hoạt động, lỗ hổng bảo mật) | Nghiêm trọng   |
-  | Lỗi không quan trọng, cải thiện hiệu suất                    | Ưu tiên trung bình |
-  | Sửa lỗi nhỏ (lỗi chính tả, giao diện người dùng gây nhầm lẫn nhưng vẫn hoạt động) | Ưu tiên thấp   |
-
-
-## Cài đặt
-
-Dưới đây là các bước để thiết lập Dify cho việc phát triển:
-
-### 1. Fork repository này
-
-### 2. Clone repository
-
- Clone repository đã fork từ terminal của bạn:
-
-```
-git clone git@github.com:<tên_người_dùng_github>/dify.git
-```
-
-### 3. Kiểm tra các phụ thuộc
-
-Dify yêu cầu các phụ thuộc sau để build, hãy đảm bảo chúng đã được cài đặt trên hệ thống của bạn:
-
-- [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/) phiên bản 8.x.x hoặc [Yarn](https://yarnpkg.com/)
-- [Python](https://www.python.org/) phiên bản 3.11.x hoặc 3.12.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.
-
-### 5. Truy cập Dify trong trình duyệt của bạn
-
-Để xác nhận cài đặt của bạn, hãy truy cập [http://localhost:3000](http://localhost:3000) (địa chỉ mặc định, hoặc URL và cổng bạn đã cấu hình) trong trình duyệt. Bạn sẽ thấy Dify đang chạy.
-
-## Phát triển
-
-Nếu bạn đang thêm một nhà cung cấp mô hình, [hướng dẫn này](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) dành cho bạn.
-
-Nếu bạn đang thêm một nhà cung cấp công cụ cho Agent hoặc Workflow, [hướng dẫn này](./api/core/tools/README.md) dành cho bạn.
-
-Để giúp bạn nhanh chóng định hướng phần đóng góp của mình, dưới đây là một bản phác thảo ngắn gọn về cấu trúc backend & frontend của Dify:
-
-### Backend
-
-Backend của Dify được viết bằng Python sử dụng [Flask](https://flask.palletsprojects.com/en/3.0.x/). Nó sử dụng [SQLAlchemy](https://www.sqlalchemy.org/) cho ORM và [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) cho hàng đợi tác vụ. Logic xác thực được thực hiện thông qua Flask-login.
-
-```
-[api/]
-├── constants             // Các cài đặt hằng số được sử dụng trong toàn bộ codebase.
-├── controllers           // Định nghĩa các route API và logic xử lý yêu cầu.           
-├── core                  // Điều phối ứng dụng cốt lõi, tích hợp mô hình và công cụ.
-├── docker                // Cấu hình liên quan đến Docker & containerization.
-├── events                // Xử lý và xử lý sự kiện
-├── extensions            // Mở rộng với các framework/nền tảng bên thứ 3.
-├── fields                // Định nghĩa trường cho serialization/marshalling.
-├── libs                  // Thư viện và tiện ích có thể tái sử dụng.
-├── migrations            // Script cho việc di chuyển cơ sở dữ liệu.
-├── models                // Mô hình cơ sở dữ liệu & định nghĩa schema.
-├── services              // Xác định logic nghiệp vụ.
-├── storage               // Lưu trữ khóa riêng tư.      
-├── tasks                 // Xử lý các tác vụ bất đồng bộ và công việc nền.
-└── tests
-```
-
-### Frontend
-
-Website được khởi tạo trên boilerplate [Next.js](https://nextjs.org/) bằng Typescript và sử dụng [Tailwind CSS](https://tailwindcss.com/) cho styling. [React-i18next](https://react.i18next.com/) được sử dụng cho việc quốc tế hóa.
-
-```
-[web/]
-├── app                   // layouts, pages và components
-│   ├── (commonLayout)    // layout chung được sử dụng trong toàn bộ ứng dụng
-│   ├── (shareLayout)     // layouts được chia sẻ cụ thể cho các phiên dựa trên token 
-│   ├── activate          // trang kích hoạt
-│   ├── components        // được chia sẻ bởi các trang và layouts
-│   ├── install           // trang cài đặt
-│   ├── signin            // trang đăng nhập
-│   └── styles            // styles được chia sẻ toàn cục
-├── assets                // Tài nguyên tĩnh
-├── bin                   // scripts chạy ở bước build
-├── config                // cài đặt và tùy chọn có thể điều chỉnh 
-├── context               // contexts được chia sẻ bởi các phần khác nhau của ứng dụng
-├── dictionaries          // File dịch cho từng ngôn ngữ 
-├── docker                // cấu hình container
-├── hooks                 // Hooks có thể tái sử dụng
-├── i18n                  // Cấu hình quốc tế hóa
-├── models                // mô tả các mô hình dữ liệu & hình dạng của phản hồi API
-├── public                // tài nguyên meta như favicon
-├── service               // xác định hình dạng của các hành động API
-├── test                  
-├── types                 // mô tả các tham số hàm và giá trị trả về
-└── utils                 // Các hàm tiện ích được chia sẻ
-```
-
-## Gửi PR của bạn
-
-Cuối cùng, đã đến lúc mở một pull request (PR) đến repository của chúng tôi. Đối với các tính năng lớn, chúng tôi sẽ merge chúng vào nhánh `deploy/dev` để kiểm tra trước khi đưa vào nhánh `main`. Nếu bạn gặp vấn đề như xung đột merge hoặc không biết cách mở pull request, hãy xem [hướng dẫn về pull request của GitHub](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests).
-
-Và thế là xong! Khi PR của bạn được merge, bạn sẽ được giới thiệu là một người đóng góp trong [README](https://github.com/langgenius/dify/blob/main/README.md) của chúng tôi.
-
-## 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.

LICENSE

@@ -4,11 +4,10 @@ Dify is licensed under the Apache License 2.0, with the following additional con
 
 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 SaaS service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment. 
     - Tenant Definition: Within the context of Dify, one tenant corresponds to one workspace. The workspace provides a separated area for each tenant's data and configurations.
-    
-b. LOGO and copyright information: In the process of using Dify's frontend, 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.
 

README.md

@@ -1,190 +1,163 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
+[![](./images/describe.png)](https://dify.ai)
 <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> ·
-  <a href="https://docs.dify.ai">Documentation</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Enterprise inquiry</a>
+  <a href="./README.md">English</a> |
+  <a href="./README_CN.md">简体中文</a> |
+  <a href="./README_JA.md">日本語</a> |
+  <a href="./README_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</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>
+        <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
     <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"
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
             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>
+        <img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></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="https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6" target="_blank">
+   📌 Check out Dify Premium on AWS and deploy it to your own AWS VPC with one-click.
+  </a>
 </p>
 
+**Dify** is an open-source LLM app development platform. Dify's intuitive interface combines a RAG pipeline, AI workflow orchestration, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
 
-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. 
+![](./images/demo.png)
 
-## Quick start
-> Before installing Dify, make sure your machine meets the following minimum system requirements:
-> 
->- CPU >= 2 Core
->- RAM >= 4 GiB
 
-</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:
+## Using our Cloud Services
+
+You can try out [Dify.AI Cloud](https://dify.ai) now. It provides all the capabilities of the self-deployed version, and includes 200 free requests to OpenAI GPT-3.5.
+
+### Looking to purchase via AWS?
+Check out [Dify Premium on AWS](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. 
+
+## Dify vs. LangChain vs. Assistants API
+
+| Feature | Dify.AI | Assistants API | LangChain |
+|---------|---------|----------------|-----------|
+| **Programming Approach** | API-oriented | API-oriented | Python Code-oriented |
+| **Ecosystem Strategy** | Open Source | Close Source | Open Source |
+| **RAG Engine** | Supported | Supported | Not Supported |
+| **Prompt IDE** | Included | Included | None |
+| **Supported LLMs** | Rich Variety | OpenAI-only | Rich Variety |
+| **Local Deployment** | Supported | Not Supported | Not Applicable |
+
+
+
+## Features
+
+![](./images/models.png)
+
+**1. LLM Support**: Integration with OpenAI's GPT family of models, or the open-source Llama2 family models. In fact, Dify supports mainstream commercial models and open-source models (locally deployed or based on MaaS).
+
+**2. Prompt IDE**: Visual orchestration of applications and services based on LLMs with your team.
+
+**3. RAG Engine**: Includes various RAG capabilities based on full-text indexing or vector database embeddings, allowing direct upload of PDFs, TXTs, and other text formats.
+
+**4. AI Agent**: Based on Function Calling and ReAct, the Agent inference framework allows users to customize tools, what you see is what you get. Dify provides more than a dozen built-in tool calling capabilities, such as Google Search, DELL·E, Stable Diffusion, WolframAlpha, etc.
+
+
+**5. Continuous Operations**: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models using production data.
+
+## Before You Start
+
+**Star us on GitHub, and be instantly notified for new releases!**
+
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
+
+- [Website](https://dify.ai)
+- [Docs](https://docs.dify.ai)
+- [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
+- [FAQ](https://docs.dify.ai/getting-started/faq) 
+
+
+## Install the Community Edition
+
+### System Requirements
+
+Before installing Dify, make sure your machine meets the following minimum system requirements:
+
+- CPU >= 2 Core
+- RAM >= 4GB
+
+### Quick Start
+
+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 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.
+After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization installation 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.
+#### Deploy with Helm Chart
 
-> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
-
-## 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).
-
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
-
-
-**3. Prompt IDE**: 
-  Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app. 
-
-**4. RAG Pipeline**: 
-  Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
-
-**5. Agent capabilities**: 
-  You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
-
-**6. LLMOps**: 
-  Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
-
-**7. Backend-as-a-Service**: 
-  All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
-
-
-## Using Dify
-
-- **Cloud </br>**
-We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
-
-- **Self-hosting Dify Community Edition</br>**
-Quickly get Dify running in your environment with this [starter guide](#quick-start).
-Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
-
-- **Dify for enterprise / organizations</br>**
-We provide additional enterprise-centric features. [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
-
-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).
-
-If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes.
+[Helm Chart](https://helm.sh/) version, which allows Dify to be deployed on Kubernetes.
 
 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 
-#### Using Terraform for Deployment
+### Configuration
 
-Deploy Dify to Cloud Platform with a single click using [terraform](https://www.terraform.io/)
+If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run `docker-compose up -d` again. You can see the full list of environment variables in our [docs](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 
-##### 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)
+## Star History
 
-#### 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)
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
 ## Contributing
 
 For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+
 At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
 
+### Projects made by community
 
-> 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).
+- [Chatbot Chrome Extension by @charli117](https://github.com/langgenius/chatbot-chrome-extension)
 
-## 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**
+### Contributors
 
 <a href="https://github.com/langgenius/dify/graphs/contributors">
   <img src="https://contrib.rocks/image?repo=langgenius/dify" />
 </a>
 
-## Star history
+### Translations
 
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
 
+## Community & Support
 
-## Security disclosure
+* [Canny](https://feedback.dify.ai/). Best for: sharing feedback and checking out our feature roadmap.
+* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Email Support](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Best for: questions you have about using Dify.AI.
+* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
+* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
+* [Business Contact](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Best for: business inquiries of licensing Dify.AI for commercial use.
+
+### Direct Meetings
+
+**Help us make Dify better. Reach out directly to us**.
+
+|                       Point of Contact                       |                           Purpose                            |
+| :----------------------------------------------------------: | :----------------------------------------------------------: |
+| <a href='https://cal.com/guchenhe/15min' target='_blank'><img src='https://i.postimg.cc/fWBqSmjP/Git-Hub-README-Button-3x.png' border='0' alt='Git-Hub-README-Button-3x' height="60" width="214"/></a> | Product design feedback, user experience discussions, feature planning and roadmaps. |
+| <a href='https://cal.com/pinkbanana' target='_blank'><img src='https://i.postimg.cc/LsRTh87D/Git-Hub-README-Button-2x.png' border='0' alt='Git-Hub-README-Button-2x' height="60" width="225"/></a> |        Technical support, issues, or feature requests        |
+
+## Security Disclosure
 
 To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
 
 ## License
 
 This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.
-

README_AR.md

@@ -1,238 +0,0 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">الاستضافة الذاتية</a> ·
-  <a href="https://docs.dify.ai">التوثيق</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">استفسار الشركات (للإنجليزية فقط)</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://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>
-</p>
-
-<div style="text-align: right;">
-مشروع Dify هو منصة تطوير تطبيقات الذكاء الصناعي مفتوحة المصدر. تجمع واجهته البديهية بين سير العمل الذكي بالذكاء الاصطناعي وخط أنابيب RAG وقدرات الوكيل وإدارة النماذج وميزات الملاحظة وأكثر من ذلك، مما يتيح لك الانتقال بسرعة من المرحلة التجريبية إلى الإنتاج. إليك قائمة بالميزات الأساسية:
-</br> </br>
-
-**1. سير العمل**:  قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر.
-
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
-
-
-**2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/getting-started/readme/model-providers).
-
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
-
-**3. بيئة التطوير للأوامر**: واجهة بيئة التطوير المبتكرة لصياغة الأمر ومقارنة أداء النموذج، وإضافة ميزات إضافية مثل تحويل النص إلى كلام إلى تطبيق قائم على الدردشة.
-
-**4. خط أنابيب RAG**: قدرات RAG الواسعة التي تغطي كل شيء من استيعاب الوثائق إلى الاسترجاع، مع الدعم الفوري لاستخراج النص من ملفات PDF و PPT وتنسيقات الوثائق الشائعة الأخرى.
-
-**5. قدرات الوكيل**: يمكنك تعريف الوكلاء بناءً على أمر وظيفة LLM أو ReAct، وإضافة أدوات مدمجة أو مخصصة للوكيل. توفر Dify أكثر من 50 أداة مدمجة لوكلاء الذكاء الاصطناعي، مثل البحث في Google و DALL·E وStable Diffusion و WolframAlpha.
-
-**6. الـ LLMOps**: راقب وتحلل سجلات التطبيق والأداء على مر الزمن. يمكنك تحسين الأوامر والبيانات والنماذج باستمرار استنادًا إلى البيانات الإنتاجية والتعليقات.
-
-**7.الواجهة الخلفية (Backend) كخدمة**: تأتي جميع عروض Dify مع APIs مطابقة، حتى يمكنك دمج Dify بسهولة في منطق أعمالك الخاص.
-## مقارنة الميزات
-<table style="width: 100%;">
-  <tr>
-    <th align="center">الميزة</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">نهج البرمجة</td>
-    <td align="center">موجّه لـ تطبيق + واجهة برمجة تطبيق (API)</td>
-    <td align="center">برمجة Python</td>
-    <td align="center">موجه لتطبيق</td>
-    <td align="center">واجهة برمجة تطبيق (API)</td>
-  </tr>
-  <tr>
-    <td align="center">LLMs المدعومة</td>
-    <td align="center">تنوع غني</td>
-    <td align="center">تنوع غني</td>
-    <td align="center">تنوع غني</td>
-    <td align="center">فقط OpenAI</td>
-  </tr>
-  <tr>
-    <td align="center">محرك RAG</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">الوكيل</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">سير العمل</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">الملاحظة</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">ميزات الشركات (SSO / مراقبة الوصول)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">نشر محلي</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
-
-
-## استخدام Dify
-- **سحابة </br>**
-نحن نستضيف [خدمة Dify Cloud](https://dify.ai) لأي شخص لتجربتها بدون أي إعدادات. توفر كل قدرات النسخة التي تمت استضافتها ذاتيًا، وتتضمن 200 أمر GPT-4 مجانًا في خطة الصندوق الرملي.
-
-- **استضافة ذاتية لنسخة المجتمع Dify</br>**
-ابدأ سريعًا في تشغيل Dify في بيئتك باستخدام [دليل البدء السريع](#البدء السريع).
-استخدم [توثيقنا](https://docs.dify.ai) للمزيد من المراجع والتعليمات الأعمق.
-
-- **مشروع Dify للشركات / المؤسسات</br>**
-نحن نوفر ميزات إضافية مركزة على الشركات. [جدول اجتماع معنا](https://cal.com/guchenhe/30min) أو [أرسل لنا بريدًا إلكترونيًا](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) لمناقشة احتياجات الشركات. </br>
-> بالنسبة للشركات الناشئة والشركات الصغيرة التي تستخدم خدمات AWS، تحقق من [Dify Premium على AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) ونشرها في شبكتك الخاصة على AWS VPC بنقرة واحدة. إنها عرض AMI بأسعار معقولة مع خيار إنشاء تطبيقات بشعار وعلامة تجارية مخصصة.
-## البقاء قدمًا
-
-قم بإضافة نجمة إلى Dify على GitHub وتلق تنبيهًا فوريًا بالإصدارات الجديدة.
-
-![نجمنا](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-## البداية السريعة
-> قبل تثبيت Dify، تأكد من أن جهازك يلبي الحد الأدنى من متطلبات النظام التالية:
-> 
->- معالج >= 2 نواة
->- ذاكرة وصول عشوائي (RAM) >= 4 جيجابايت
-
-</br>
-
-أسهل طريقة لبدء تشغيل خادم Dify هي تشغيل ملف [docker-compose.yml](docker/docker-compose.yaml) الخاص بنا. قبل تشغيل أمر التثبيت، تأكد من تثبيت [Docker](https://docs.docker.com/get-docker/) و [Docker Compose](https://docs.docker.com/compose/install/) على جهازك:
-
-```bash
-cd docker
-cp .env.example .env
-docker compose up -d
-```
-
-بعد التشغيل، يمكنك الوصول إلى لوحة تحكم Dify في متصفحك على [http://localhost/install](http://localhost/install) وبدء عملية التهيئة.
-
-> إذا كنت ترغب في المساهمة في Dify أو القيام بتطوير إضافي، فانظر إلى [دليلنا للنشر من الشفرة (code) المصدرية](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
-
-## الخطوات التالية
-
-إذا كنت بحاجة إلى تخصيص الإعدادات، فيرجى الرجوع إلى التعليقات في ملف [.env.example](docker/.env.example) وتحديث القيم المقابلة في ملف `.env`. بالإضافة إلى ذلك، قد تحتاج إلى إجراء تعديلات على ملف `docker-compose.yaml` نفسه، مثل تغيير إصدارات الصور أو تعيينات المنافذ أو نقاط تحميل وحدات التخزين، بناءً على بيئة النشر ومتطلباتك الخاصة. بعد إجراء أي تغييرات، يرجى إعادة تشغيل `docker-compose up -d`. يمكنك العثور على قائمة كاملة بمتغيرات البيئة المتاحة [هنا](https://docs.dify.ai/getting-started/install-self-hosted/environments).
-
-يوجد مجتمع خاص بـ [Helm Charts](https://helm.sh/) وملفات YAML التي تسمح بتنفيذ Dify على Kubernetes للنظام من الإيجابيات العلوية.
-
-- [رسم بياني Helm من قبل @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
-- [رسم بياني Helm من قبل @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [ملف YAML من قبل @Winson-030](https://github.com/Winson-030/dify-kubernetes)
-
-#### استخدام Terraform للتوزيع
-
-انشر Dify إلى منصة السحابة بنقرة واحدة باستخدام [terraform](https://www.terraform.io/)
-
-##### Azure Global
-- [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. 
-في الوقت نفسه، يرجى النظر في دعم Dify عن طريق مشاركته على وسائل التواصل الاجتماعي وفي الفعاليات والمؤتمرات.
-
-
-> نحن نبحث عن مساهمين لمساعدة في ترجمة Dify إلى لغات أخرى غير اللغة الصينية المندرين أو الإنجليزية. إذا كنت مهتمًا بالمساعدة، يرجى الاطلاع على [README للترجمة](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) لمزيد من المعلومات، واترك لنا تعليقًا في قناة `global-users` على [خادم المجتمع على Discord](https://discord.gg/8Tpq4AcN9c).
-
-**المساهمون**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## المجتمع والاتصال
-* [مناقشة Github](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة.
-* [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
-* [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.
-
-## الرخصة
-
-هذا المستودع متاح تحت [رخصة البرنامج الحر Dify](LICENSE)، والتي تعتبر بشكل أساسي Apache 2.0 مع بعض القيود الإضافية.

README_CN.md

@@ -1,174 +1,78 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<div align="center">
-  <a href="https://cloud.dify.ai">Dify 云服务</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">自托管</a> ·
-  <a href="https://docs.dify.ai">文档</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">（需用英文）常见问题解答 / 联系团队</a>
-</div>
+[![](./images/describe.png)](https://dify.ai)
+<p align="center">
+  <a href="./README.md">English</a> |
+  <a href="./README_CN.md">简体中文</a> |
+  <a href="./README_JA.md">日本語</a> |
+  <a href="./README_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</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>
+        <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
     <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"
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
             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>
+        <img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
 </p>
 
-<div 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>
-</div>
+<p align="center">
+   <a href="https://mp.weixin.qq.com/s/TnyfIuH-tPi9o1KNjwVArw" target="_blank">
+   Dify 发布 AI Agent 能力：基于不同的大型语言模型构建 GPTs 和 Assistants
+  </a>
+</p>
+
+Dify 是一个 LLM 应用开发平台，已经有超过 10 万个应用基于 Dify.AI 构建。它融合了 Backend as Service 和 LLMOps 的理念，涵盖了构建生成式 AI 原生应用所需的核心技术栈，包括一个内置 RAG 引擎。使用 Dify，你可以基于任何模型自部署类似 Assistants API 和 GPTs 的能力。
+
+![](./images/demo.png)
+
+## 使用云端服务
+
+使用 [Dify.AI Cloud](https://dify.ai) 提供开源版本的所有功能,并包含 200 次 GPT 试用额度。
+
+## 为什么选择 Dify
+
+Dify 具有模型中立性，相较 LangChain 等硬编码开发库 Dify 是一个完整的、工程化的技术栈，而相较于 OpenAI 的 Assistants API 你可以完全将服务部署在本地。
+
+| 功能 | Dify.AI | Assistants API | LangChain |
+| --- | --- | --- | --- |
+| 编程方式 | 面向 API | 面向 API | 面向 Python 代码 |
+| 生态策略 | 开源 | 封闭且商用 | 开源 |
+| RAG 引擎 | 支持 | 支持 | 不支持 |
+| Prompt IDE | 包含 | 包含 | 没有 |
+| 支持的 LLMs | 丰富 | 仅 GPT | 丰富 |
+| 本地部署 | 支持 | 不支持 | 不适用 |
 
 
-#
+## 特点
 
-<div align="center">
-  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | 趋势转变" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-</div>
+![](./images/models.png)
 
-Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI 工作流、RAG 管道、Agent、模型管理、可观测性功能等，让您可以快速从原型到生产。以下是其核心功能列表：
-</br> </br>
+**1. LLM支持**：与 OpenAI 的 GPT 系列模型集成,或者与开源的 Llama2 系列模型集成。事实上，Dify支持主流的商业模型和开源模型(本地部署或基于 MaaS)。
 
-**1. 工作流**: 
-  在画布上构建和测试功能强大的 AI 工作流程，利用以下所有功能以及更多功能。
+**2. Prompt IDE**：和团队一起在 Dify 协作，通过可视化的 Prompt 和应用编排工具开发 AI 应用。 支持无缝切换多种大型语言模型。
 
+**3. RAG引擎**：包括各种基于全文索引或向量数据库嵌入的 RAG 能力，允许直接上传 PDF、TXT 等各种文本格式。
 
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+**4. AI Agent**：基于 Function Calling 和 ReAct 的 Agent 推理框架，允许用户自定义工具，所见即所得。Dify 提供了十多种内置工具调用能力，如谷歌搜索、DELL·E、Stable Diffusion、WolframAlpha 等。
 
+**5. 持续运营**：监控和分析应用日志和性能，使用生产数据持续改进 Prompt、数据集或模型。
 
+## 在开始之前
 
-**2. 全面的模型支持**: 
-  与数百种专有/开源 LLMs 以及数十种推理提供商和自托管解决方案无缝集成，涵盖 GPT、Mistral、Llama3 以及任何与 OpenAI API 兼容的模型。完整的支持模型提供商列表可在[此处](https://docs.dify.ai/getting-started/readme/model-providers)找到。
+**关注我们，您将立即收到 GitHub 上所有新发布版本的通知！**
 
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
 
-
-**3. Prompt IDE**: 
-  用于制作提示、比较模型性能以及向基于聊天的应用程序添加其他功能（如文本转语音）的直观界面。
-
-**4. RAG Pipeline**: 
-  广泛的 RAG 功能，涵盖从文档摄入到检索的所有内容，支持从 PDF、PPT 和其他常见文档格式中提取文本的开箱即用的支持。
-
-**5. Agent 智能体**: 
-  您可以基于 LLM 函数调用或 ReAct 定义 Agent，并为 Agent 添加预构建或自定义工具。Dify 为 AI Agent 提供了50多种内置工具，如谷歌搜索、DALL·E、Stable Diffusion 和 WolframAlpha 等。
-
-**6. LLMOps**: 
-  随时间监视和分析应用程序日志和性能。您可以根据生产数据和标注持续改进提示、数据集和模型。
-
-**7. 后端即服务**: 
-  所有 Dify 的功能都带有相应的 API，因此您可以轻松地将 Dify 集成到自己的业务逻辑中。
-
-
-## 功能比较
-<table style="width: 100%;">
-  <tr>
-    <th align="center">功能</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistant API</th>
-  </tr>
-  <tr>
-    <td align="center">编程方法</td>
-    <td align="center">API + 应用程序导向</td>
-    <td align="center">Python 代码</td>
-    <td align="center">应用程序导向</td>
-    <td align="center">API 导向</td>
-  </tr>
-  <tr>
-    <td align="center">支持的 LLMs</td>
-    <td align="center">丰富多样</td>
-    <td align="center">丰富多样</td>
-    <td align="center">丰富多样</td>
-    <td align="center">仅限 OpenAI</td>
-  </tr>
-  <tr>
-    <td align="center">RAG引擎</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Agent</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">工作流</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">可观测性</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">企业功能（SSO/访问控制）</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">本地部署</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
-
-## 使用 Dify
-
-- **云 </br>**
-我们提供[ Dify 云服务](https://dify.ai)，任何人都可以零设置尝试。它提供了自部署版本的所有功能，并在沙盒计划中包含 200 次免费的 GPT-4 调用。
-
-- **自托管 Dify 社区版</br>**
-使用这个[入门指南](#快速启动)快速在您的环境中运行 Dify。
-使用我们的[文档](https://docs.dify.ai)进行进一步的参考和更深入的说明。
-
-- **面向企业/组织的 Dify</br>**
-我们提供额外的面向企业的功能。[给我们发送电子邮件](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)讨论企业需求。 </br>
-  > 对于使用 AWS 的初创公司和中小型企业，请查看 [AWS Marketplace 上的 Dify 高级版](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)，并使用一键部署到您自己的 AWS VPC。它是一个价格实惠的 AMI 产品，提供了使用自定义徽标和品牌创建应用程序的选项。
-
-## 保持领先
-
-在 GitHub 上给 Dify Star，并立即收到新版本的通知。
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+- [网站](https://dify.ai)
+- [文档](https://docs.dify.ai)
+- [部署文档](https://docs.dify.ai/getting-started/install-self-hosted)
+- [常见问题](https://docs.dify.ai/getting-started/faq)
 
 ## 安装社区版
 
@@ -177,7 +81,7 @@ 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
 
@@ -185,68 +89,35 @@ Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI
 
 ```bash
 cd docker
-cp .env.example .env
 docker compose up -d
 ```
 
 运行后，可以在浏览器上访问 [http://localhost/install](http://localhost/install) 进入 Dify 控制台并开始初始化安装操作。
 
-### 自定义配置
-
-如果您需要自定义配置，请参考 [.env.example](docker/.env.example) 文件中的注释，并更新 `.env` 文件中对应的值。此外，您可能需要根据您的具体部署环境和需求对 `docker-compose.yaml` 文件本身进行调整，例如更改镜像版本、端口映射或卷挂载。完成任何更改后，请重新运行 `docker-compose up -d`。您可以在[此处](https://docs.dify.ai/getting-started/install-self-hosted/environments)找到可用环境变量的完整列表。
-
 #### 使用 Helm Chart 部署
 
-使用 [Helm Chart](https://helm.sh/) 版本或者 YAML 文件，可以在 Kubernetes 上部署 Dify。
+使用 [Helm Chart](https://helm.sh/) 版本，可以在 Kubernetes 上部署 Dify。
 
 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [YAML 文件 by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
 
-#### 使用 Terraform 部署
+### 配置
 
-使用 [terraform](https://www.terraform.io/) 一键将 Dify 部署到云平台
-
-##### Azure Global
-- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
-
-##### Google Cloud
-- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
-
-#### 使用 AWS CDK 部署
-
-使用 [CDK](https://aws.amazon.com/cdk/) 将 Dify 部署到 AWS
-
-##### AWS 
-- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+如果您需要自定义配置，请参考我们的 [docker-compose.yml](docker/docker-compose.yaml) 文件中的注释，并手动设置环境配置。更改后，请再次运行 `docker-compose up -d`。您可以在我们的[文档](https://docs.dify.ai/getting-started/install-self-hosted/environments)中查看所有环境变量的完整列表。
 
 ## Star History
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
 
-## Contributing
-
-对于那些想要贡献代码的人，请参阅我们的[贡献指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
-同时，请考虑通过社交媒体、活动和会议来支持 Dify 的分享。
-
-> 我们正在寻找贡献者来帮助将Dify翻译成除了中文和英文之外的其他语言。如果您有兴趣帮助，请参阅我们的[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)获取更多信息，并在我们的[Discord社区服务器](https://discord.gg/8Tpq4AcN9c)的`global-users`频道中留言。
-
-**Contributors**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
 ## 社区与支持
 
 我们欢迎您为 Dify 做出贡献，以帮助改善 Dify。包括：提交代码、问题、新想法，或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时，我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。
 
-- [Github Discussion](https://github.com/langgenius/dify/discussions). 👉：分享您的应用程序并与社区交流。
 - [GitHub Issues](https://github.com/langgenius/dify/issues)。👉：使用 Dify.AI 时遇到的错误和问题，请参阅[贡献指南](CONTRIBUTING.md)。
 - [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉：关于使用 Dify.AI 的问题。
 - [Discord](https://discord.gg/FngNHpbcY7)。👉：分享您的应用程序并与社区交流。
-- [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_ES.md

@@ -1,252 +1,119 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
+[![](./images/describe.png)](https://dify.ai)
 <p align="center">
-  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-alojamiento</a> ·
-  <a href="https://docs.dify.ai">Documentación</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariales (en inglés)</a>
+  <a href="./README.md">English</a> |
+  <a href="./README_CN.md">简体中文</a> |
+  <a href="./README_JA.md">日本語</a> |
+  <a href="./README_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
 </p>
 
 <p align="center">
     <a href="https://dify.ai" target="_blank">
-        <img alt="Insignia Estática" src="https://img.shields.io/badge/Producto-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Insignia Estática" src="https://img.shields.io/badge/gratis-precios?logo=gratis&color=%20%23155EEF&label=precios&labelColor=%20%23528bff"></a>
+        <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
     <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>
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
+            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="seguir en X(Twitter)"></a>
+        <img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Descargas de Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Actividad de Commits el último mes" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues cerrados" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20cerrados&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Publicaciones de discusión" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></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="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
+   Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
+  </a>
 </p>
 
-#
+**Dify** es una plataforma de desarrollo de aplicaciones para modelos de lenguaje de gran tamaño (LLM) que ya ha visto la creación de más de **100,000** aplicaciones basadas en Dify.AI. Integra los conceptos de Backend como Servicio y LLMOps, cubriendo el conjunto de tecnologías esenciales requerido para construir aplicaciones nativas de inteligencia artificial generativa, incluyendo un motor RAG incorporado. Con Dify, **puedes auto-desplegar capacidades similares a las de Assistants API y GPTs basadas en cualquier LLM.**
 
-<p align="center">
-  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-</p>
-Dify es una plataforma de desarrollo de aplicaciones de LLM de código abierto. Su interfaz intuitiva combina flujo de trabajo de IA, pipeline RAG, capacidades de agente, gestión de modelos, características de observabilidad y más, lo que le permite pasar rápidamente de un prototipo a producción. Aquí hay una lista de las características principales:
-</br> </br>
+![](./images/demo.png)
 
-**1. Flujo de trabajo**: 
-  Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
+## Utilizar Servicios en la Nube
 
+Usar [Dify.AI Cloud](https://dify.ai) proporciona todas las capacidades de la versión de código abierto, e incluye un complemento de 200 créditos de prueba para GPT.
 
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+## Por qué Dify
 
+Dify se caracteriza por su neutralidad de modelo y es un conjunto tecnológico completo e ingenierizado, en comparación con las bibliotecas de desarrollo codificadas como LangChain. A diferencia de la API de Assistants de OpenAI, Dify permite el despliegue local completo de los servicios.
 
+| Característica | Dify.AI | API de Assistants | LangChain |
+|----------------|---------|------------------|-----------|
+| **Enfoque de Programación** | Orientado a API | Orientado a API | Orientado a Código en Python |
+| **Estrategia del Ecosistema** | Código Abierto | Cerrado y Comercial | Código Abierto |
+| **Motor RAG** | Soportado | Soportado | No Soportado |
+| **IDE de Prompts** | Incluido | Incluido | Ninguno |
+| **LLMs Soportados** | Gran Variedad | Solo GPT | Gran Variedad |
+| **Despliegue Local** | Soportado | No Soportado | No Aplicable |
 
-**2. Soporte de modelos completo**: 
-  Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama3 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/getting-started/readme/model-providers).
+## Características
 
-![proveedores-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+![](./images/models.png)
 
+**1. Soporte LLM**: Integración con la familia de modelos GPT de OpenAI, o los modelos de la familia Llama2 de código abierto. De hecho, Dify soporta modelos comerciales convencionales y modelos de código abierto (desplegados localmente o basados en MaaS).
 
-**3. IDE de prompt**: 
-  Interfaz intuitiva para crear prompts, comparar el rendimiento del modelo y agregar características adicionales como texto a voz a una aplicación basada en chat. 
+**2. IDE de Prompts**: Orquestación visual de aplicaciones y servicios basados en LLMs con tu equipo.
 
-**4. Pipeline RAG**: 
-  Amplias capacidades de RAG que cubren todo, desde la ingestión de documentos hasta la recuperación, con soporte listo para usar para la extracción de texto de PDF, PPT y otros formatos de documento comunes.
+**3. Motor RAG**: Incluye varias capacidades RAG basadas en indexación de texto completo o incrustaciones de base de datos vectoriales, permitiendo la carga directa de PDFs, TXTs y otros formatos de texto.
 
-**5. Capacidades de agente**: 
-  Puedes definir agent
+**4. Agente de IA**: Basado en la llamada de funciones y ReAct, el marco de inferencia del Agente permite a los usuarios personalizar las herramientas, lo que ves es lo que obtienes. Dify proporciona más de una docena de capacidades de llamada de herramientas incorporadas, como Búsqueda de Google, DELL·E, Difusión Estable, WolframAlpha, etc.
 
-es basados en LLM Function Calling o ReAct, y agregar herramientas preconstruidas o personalizadas para el agente. Dify proporciona más de 50 herramientas integradas para agentes de IA, como Búsqueda de Google, DALL·E, Difusión Estable y WolframAlpha.
+**5. Operaciones Continuas**: Monitorear y analizar registros de aplicaciones y rendimiento, mejorando continuamente Prompts, conjuntos de datos o modelos usando datos de producción.
 
-**6. LLMOps**: 
-  Supervisa y analiza registros de aplicaciones y rendimiento a lo largo del tiempo. Podrías mejorar continuamente prompts, conjuntos de datos y modelos basados en datos de producción y anotaciones.
+## Antes de Empezar
 
-**7. Backend como servicio**: 
-  Todas las ofertas de Dify vienen con APIs correspondientes, por lo que podrías integrar Dify sin esfuerzo en tu propia lógica empresarial.
+**¡Danos una estrella, y recibirás notificaciones instantáneas de todos los nuevos lanzamientos en GitHub!**
 
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
 
-## Comparación de características
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Característica</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">API de Asistentes de OpenAI</th>
-  </tr>
-  <tr>
-    <td align="center">Enfoque de programación</td>
-    <td align="center">API + orientado a la aplicación</td>
-    <td align="center">Código Python</td>
-    <td align="center">Orientado a la aplicación</td>
-    <td align="center">Orientado a la API</td>
-  </tr>
-  <tr>
-    <td align="center">LLMs admitidos</td>
-    <td align="center">Gran variedad</td>
-    <td align="center">Gran variedad</td>
-    <td align="center">Gran variedad</td>
-    <td align="center">Solo OpenAI</td>
-  </tr>
-  <tr>
-    <td align="center">Motor RAG</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Agente</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Flujo de trabajo</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Observabilidad</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Característica empresarial (SSO/Control de acceso)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Implementación local</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
+- [Sitio web](https://dify.ai)
+- [Documentación](https://docs.dify.ai)
+- [Documentación de Implementación](https://docs.dify.ai/getting-started/install-self-hosted)
+- [Preguntas Frecuentes](https://docs.dify.ai/getting-started/faq)
 
-## Usando Dify
+## Instalar la Edición Comunitaria
 
-- **Nube </br>**
-Hospedamos un servicio [Dify Cloud](https://dify.ai) para que cualquiera lo pruebe sin configuración. Proporciona todas las capacidades de la versión autoimplementada e incluye 200 llamadas gratuitas a GPT-4 en el plan sandbox.
+### Requisitos del Sistema
 
-- **Auto-alojamiento de Dify Community Edition</br>**
-Pon rápidamente Dify en funcionamiento en tu entorno con esta [guía de inicio rápido](#quick-start).
-Usa nuestra [documentación](https://docs.dify.ai) para más referencias e instrucciones más detalladas.
+Antes de instalar Dify, asegúrate de que tu máquina cumpla con los siguientes requisitos mínimos del sistema:
 
-- **Dify para Empresas / Organizaciones</br>**
-Proporcionamos características adicionales centradas en la empresa. [Envíanos un correo electrónico](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) para discutir las necesidades empresariales. </br>
-  > Para startups y pequeñas empresas que utilizan AWS, echa un vistazo a [Dify Premium en AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) e impleméntalo en tu propio VPC de AWS con un clic. Es una AMI asequible que ofrece la opción de crear aplicaciones con logotipo y marca personalizados.
+- CPU >= 2 núcleos
+- RAM >= 4GB
 
+### Inicio Rápido
 
-## Manteniéndote al tanto
-
-Dale estrella a Dify en GitHub y serás notificado instantáneamente de las nuevas versiones.
-
-![danos estrella](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-
-
-## Inicio Rápido
-> Antes de instalar Dify, asegúrate de que tu máquina cumpla con los siguientes requisitos mínimos del sistema:
-> 
->- CPU >= 2 núcleos
->- RAM >= 4GB
-
-</br>
-
-La forma más fácil de iniciar el servidor de Dify es ejecutar nuestro archivo [docker-compose.yml](docker/docker-compose.yaml). Antes de ejecutar el comando de instalación, asegúrate de que [Docker](https://docs.docker.com/get-docker/) y [Docker Compose](https://docs.docker.com/compose/install/) estén instalados en tu máquina:
+La forma más sencilla de iniciar el servidor de Dify es ejecutar nuestro archivo [docker-compose.yml](docker/docker-compose.yaml). Antes de ejecutar el comando de instalación, asegúrate de que [Docker](https://docs.docker.com/get-docker/) y [Docker Compose](https://docs.docker.com/compose/install/) estén instalados en tu máquina:
 
 ```bash
 cd docker
-cp .env.example .env
 docker compose up -d
 ```
 
-Después de ejecutarlo, puedes acceder al panel de control de Dify en tu navegador en [http://localhost/install](http://localhost/install) y comenzar el proceso de inicialización.
+Después de ejecutarlo, puedes acceder al panel de control de Dify en tu navegador en [http://localhost/install](http://localhost/install) y comenzar el proceso de instalación de inicialización.
 
-> Si deseas contribuir a Dify o realizar desarrollo adicional, consulta nuestra [guía para implementar desde el código fuente](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+### Gráfico Helm
 
-## Próximos pasos
+Un gran agradecimiento a @BorisPolonsky por proporcionarnos una versión del [Gráfico Helm](https://helm.sh/), que permite implementar Dify en Kubernetes. Puedes visitar https://github.com/BorisPolonsky/dify-helm para obtener información sobre la implementación.
 
-Si necesita personalizar la configuración, consulte los comentarios en nuestro archivo [.env.example](docker/.env.example) y actualice los valores correspondientes en su archivo `.env`. Además, es posible que deba realizar ajustes en el propio archivo `docker-compose.yaml`, como cambiar las versiones de las imágenes, las asignaciones de puertos o los montajes de volúmenes, según su entorno de implementación y requisitos específicos. Después de realizar cualquier cambio, vuelva a ejecutar `docker-compose up -d`. Puede encontrar la lista completa de variables de entorno disponibles [aquí](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+### Configuración
 
-. Después de realizar los cambios, ejecuta `docker-compose up -d` nuevamente. Puedes ver la lista completa de variables de entorno [aquí](https://docs.dify.ai/getting-started/install-self-hosted/environments).
-
-Si desea configurar una configuración de alta disponibilidad, la comunidad proporciona [Gráficos Helm](https://helm.sh/) y archivos YAML, a través de los cuales puede desplegar Dify en Kubernetes.
-
-- [Gráfico Helm por @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
-- [Gráfico Helm por @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [Ficheros YAML por @Winson-030](https://github.com/Winson-030/dify-kubernetes)
-
-#### 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
-- [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
-
-Para aquellos que deseen contribuir con código, consulten nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
-Al mismo tiempo, considera apoyar a Dify compartiéndolo en redes sociales y en eventos y conferencias.
-
-
-> Estamos buscando colaboradores para ayudar con la traducción de Dify a idiomas que no sean el mandarín o el inglés. Si estás interesado en ayudar, consulta el [README de i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) para obtener más información y déjanos un comentario en el canal `global-users` de nuestro [Servidor de Comunidad en Discord](https://discord.gg/8Tpq4AcN9c).
-
-**Contribuidores**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## Comunidad y Contacto
-
-* [Discusión en GitHub](https://github.com/langgenius/dify/discussions). Lo mejor para: compartir comentarios y hacer preguntas.
-* [Reporte de problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores que encuentres usando Dify.AI y propuestas de características. Consulta nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
-* [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.
+Si necesitas personalizar la configuración, consulta los comentarios en nuestro archivo [docker-compose.yml](docker/docker-compose.yaml) y configura manualmente la configuración del entorno. Después de realizar los cambios, ejecuta nuevamente `docker-compose up -d`. Puedes ver la lista completa de variables de entorno en nuestra [documentación](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 
 ## Historial de Estrellas
 
 [![Gráfico de Historial de Estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
+## Comunidad y Soporte
+
+Te damos la bienvenida a contribuir a Dify para ayudar a hacer que Dify sea mejor de diversas maneras, enviando código, informando problemas, proponiendo nuevas ideas o compartiendo las aplicaciones de inteligencia artificial interesantes y útiles que hayas creado basadas en Dify. Al mismo tiempo, también te invitamos a compartir Dify en diferentes eventos, conferencias y redes sociales.
+
+- [Problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores y problemas que encuentres al usar Dify.AI, consulta la [Guía de Contribución](CONTRIBUTING.md).
+- [Soporte por Correo Electrónico](mailto:hello@dify.ai?subject=[GitHub]Preguntas%20sobre%20Dify). Lo mejor para: preguntas que tengas sobre el uso de Dify.AI.
+- [Discord](https://discord.gg/FngNHpbcY7). Lo mejor para: compartir tus aplicaciones y socializar con la comunidad.
+- [Twitter](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y socializar con la comunidad.
+- [Licencia Comercial](mailto:business@dify.ai?subject=[GitHub]Consulta%20de%20Licencia%20Comercial). Lo mejor para: consultas comerciales sobre la licencia de Dify.AI para uso comercial.
 
 ## Divulgación de Seguridad
 
@@ -254,11 +121,4 @@ Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En
 
 ## Licencia
 
-Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), 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.
+Este repositorio está disponible bajo la [Licencia de Código Abierto Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.

README_FR.md

@@ -1,262 +1,127 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
+[![](./images/describe.png)](https://dify.ai)
 <p align="center">
-  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hébergement</a> ·
-  <a href="https://docs.dify.ai">Documentation</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Demande d’entreprise (en anglais seulement)</a>
+  <a href="./README.md">English</a> |
+  <a href="./README_CN.md">简体中文</a> |
+  <a href="./README_JA.md">日本語</a> |
+  <a href="./README_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</a>
 </p>
 
 <p align="center">
     <a href="https://dify.ai" target="_blank">
-        <img alt="Badge statique" src="https://img.shields.io/badge/Produit-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Badge statique" src="https://img.shields.io/badge/gratuit-Tarification?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+        <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
     <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>
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
+            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="suivre sur X(Twitter)"></a>
+        <img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Tirages Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits le mois dernier" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Problèmes fermés" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Messages de discussion" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></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="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
+   Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
+  </a>
 </p>
 
-#
 
-<p align="center">
-  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-</p>
-Dify est une plateforme de développement d'applications LLM open source. Son interface intuitive combine un flux de travail d'IA, un pipeline RAG, des capacités d'agent, une gestion de modèles, des fonctionnalités d'observabilité, et plus encore, vous permettant de passer rapidement du prototype à la production. Voici une liste des fonctionnalités principales:
-</br> </br>
+**Dify** est une plateforme de développement d'applications LLM qui a déjà vu plus de **100,000** applications construites sur Dify.AI. Elle intègre les concepts de Backend as a Service et LLMOps, couvrant la pile technologique de base requise pour construire des applications natives d'IA générative, y compris un moteur RAG intégré. Avec Dify, **vous pouvez auto-déployer des capacités similaires aux API Assistants et GPT basées sur n'importe quels LLM.**
 
-**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.
+![](./images/demo.png)
+
+## Utiliser les services cloud  
+
+L'utilisation de [Dify.AI Cloud](https://dify.ai) fournit toutes les capacités de la version open source, et comprend un essai gratuit de 200 crédits GPT.
+
+## Pourquoi Dify
+
+Dify présente une neutralité de modèle et est une pile technologique complète et conçue par rapport à des bibliothèques de développement codées en dur comme LangChain. Contrairement à l'API Assistants d'OpenAI, Dify permet un déploiement local complet des services.
+
+| Fonctionnalité | Dify.AI | API Assistants | LangChain |
+|---------------|----------|-----------------|------------|
+| **Approche de programmation** | Orientée API | Orientée API | Orientée code Python |  
+| **Stratégie écosystème** | Open source | Fermé et commercial | Open source |
+| **Moteur RAG** | Pris en charge | Pris en charge | Non pris en charge |
+| **IDE d'invite** | Inclus | Inclus | Aucun |
+| **LLM pris en charge** | Grande variété | Seulement GPT | Grande variété |
+| **Déploiement local** | Pris en charge | Non pris en charge | Non applicable |
+
+ ## Fonctionnalités  
+
+![](./images/models.png)
+
+**1\. Support LLM**: Intégration avec la famille de modèles GPT d'OpenAI, ou les modèles de la famille open source Llama2. En fait, Dify prend en charge les modèles commerciaux grand public et les modèles open source (déployés localement ou basés sur MaaS).  
+
+**2\. IDE d'invite**: Orchestration visuelle d'applications et de services basés sur LLMs avec votre équipe.  
+
+**3\. Moteur RAG**: Comprend diverses capacités RAG basées sur l'indexation de texte intégral ou les embeddings de base de données vectorielles, permettant le chargement direct de PDF, TXT et autres formats de texte.
+
+**4\. AI Agent**: Basé sur l'appel de fonction et ReAct, le framework d'inférence de l'Agent permet aux utilisateurs de personnaliser les outils, ce que vous voyez est ce que vous obtenez. Dify propose plus d'une douzaine de capacités d'appel d'outils intégrées, telles que la recherche Google, DELL·E, Diffusion Stable, WolframAlpha, etc.
+
+**5\. Opérations continues**: Surveillez et analysez les journaux et les performances des applications, améliorez en continu les invites, les datasets ou les modèles à l'aide de données de production.  
+
+## Avant de commencer
+
+**Étoilez-nous, et vous recevrez des notifications instantanées pour toutes les nouvelles sorties sur GitHub !**
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
+
+- [Site web](https://dify.ai)  
+- [Documentation](https://docs.dify.ai)  
+- [Documentation de déploiement](https://docs.dify.ai/getting-started/install-self-hosted)   
+- [FAQ](https://docs.dify.ai/getting-started/faq)  
 
 
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+## Installer la version Communauté  
 
+### Configuration système  
 
+Avant d'installer Dify, assurez-vous que votre machine répond aux exigences minimales suivantes:  
 
-**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).
+- CPU >= 2 cœurs
+- RAM >= 4 Go 
 
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+### Démarrage rapide 
 
-
-**3. IDE de prompt**: 
-  Interface intuitive pour créer des prompts, comparer les performances des modèles et ajouter des fonctionnalités supplémentaires telles que la synthèse vocale à une application basée sur des chats. 
-
-**4. Pipeline RAG**: 
-  Des capacités RAG étendues qui couvrent tout, de l'ingestion de documents à la récupération, avec un support prêt à l'emploi pour l'extraction de texte à partir de PDF, PPT et autres formats de document courants.
-
-**5. Capac
-
-ités d'agent**: 
-  Vous pouvez définir des agents basés sur l'appel de fonction LLM ou ReAct, et ajouter des outils pré-construits ou personnalisés pour l'agent. Dify fournit plus de 50 outils intégrés pour les agents d'IA, tels que la recherche Google, DALL·E, Stable Diffusion et WolframAlpha.
-
-**6. LLMOps**: 
-  Surveillez et analysez les journaux d'application et les performances au fil du temps. Vous pouvez continuellement améliorer les prompts, les ensembles de données et les modèles en fonction des données de production et des annotations.
-
-**7. Backend-as-a-Service**: 
-  Toutes les offres de Dify sont accompagnées d'API correspondantes, vous permettant d'intégrer facilement Dify dans votre propre logique métier.
-
-
-## Comparaison des fonctionnalités
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Fonctionnalité</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">Approche de programmation</td>
-    <td align="center">API + Application</td>
-    <td align="center">Code Python</td>
-    <td align="center">Application</td>
-    <td align="center">API</td>
-  </tr>
-  <tr>
-    <td align="center">LLMs pris en charge</td>
-    <td align="center">Grande variété</td>
-    <td align="center">Grande variété</td>
-    <td align="center">Grande variété</td>
-    <td align="center">Uniquement OpenAI</td>
-  </tr>
-  <tr>
-    <td align="center">Moteur RAG</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Agent</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Flux de travail</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Observabilité</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Fonctionnalité d'entreprise (SSO/Contrôle d'accès)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Déploiement local</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
-
-## Utiliser Dify
-
-- **Cloud </br>**
-Nous hébergeons un service [Dify Cloud](https://dify.ai) pour que tout le monde puisse l'essayer sans aucune configuration. Il fournit toutes les capacités de la version auto-hébergée et comprend 200 appels GPT-4 gratuits dans le plan bac à sable.
-
-- **Auto-hébergement Dify Community Edition</br>**
-Lancez rapidement Dify dans votre environnement avec ce [guide de démarrage](#quick-start).
-Utilisez notre [documentation](https://docs.dify.ai) pour plus de références et des instructions plus détaillées.
-
-- **Dify pour les entreprises / organisations</br>**
-Nous proposons des fonctionnalités supplémentaires adaptées aux entreprises. [Envoyez-nous un e-mail](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) pour discuter des besoins de l'entreprise. </br>
-  > Pour les startups et les petites entreprises utilisant AWS, consultez [Dify Premium sur AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) et déployez-le dans votre propre VPC AWS en un clic. C'est une offre AMI abordable avec la possibilité de créer des applications avec un logo et une marque personnalisés.
-
-
-## Rester en avance
-
-Mettez une étoile à Dify sur GitHub et soyez instantanément informé des nouvelles versions.
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-
-
-## Démarrage rapide
-> Avant d'installer Dify, assurez-vous que votre machine répond aux exigences système minimales suivantes:
-> 
->- CPU >= 2 cœurs
->- RAM >= 4 Go
-
-</br>
-
-La manière la plus simple de démarrer le serveur Dify est d'exécuter notre fichier [docker-compose.yml](docker/docker-compose.yaml). Avant d'exécuter la commande d'installation, assurez-vous que [Docker](https://docs.docker.com/get-docker/) et [Docker Compose](https://docs.docker.com/compose/install/) sont installés sur votre machine:
+La façon la plus simple de démarrer le serveur Dify est d'exécuter notre fichier [docker-compose.yml](docker/docker-compose.yaml). Avant d'exécuter la commande d'installation, assurez-vous que [Docker](https://docs.docker.com/get-docker/) et [Docker Compose](https://docs.docker.com/compose/install/) sont installés sur votre machine:  
 
 ```bash
 cd docker
-cp .env.example .env
 docker compose up -d
 ```
 
-Après l'exécution, vous pouvez accéder au tableau de bord Dify dans votre navigateur à [http://localhost/install](http://localhost/install) et commencer le processus d'initialisation.
+Après l'exécution, vous pouvez accéder au tableau de bord Dify dans votre navigateur à l'adresse [http://localhost/install](http://localhost/install) et démarrer le processus d'installation initiale.  
 
-> Si vous souhaitez contribuer à Dify ou effectuer un développement supplémentaire, consultez notre [guide de déploiement à partir du code source](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+### Chart Helm 
 
-## Prochaines étapes
+Un grand merci à @BorisPolonsky pour nous avoir fourni une version [Helm Chart](https://helm.sh/) qui permet le déploiement de Dify sur Kubernetes.
+Vous pouvez accéder à https://github.com/BorisPolonsky/dify-helm pour des informations de déploiement.  
 
-Si vous devez personnaliser la configuration, veuillez vous référer aux commentaires dans notre fichier [.env.example](docker/.env.example) et mettre à jour les valeurs correspondantes dans votre fichier `.env`. De plus, vous devrez peut-être apporter des modifications au fichier `docker-compose.yaml` lui-même, comme changer les versions d'image, les mappages de ports ou les montages de volumes, en fonction de votre environnement de déploiement et de vos exigences spécifiques. Après avoir effectué des modifications, veuillez réexécuter `docker-compose up -d`. Vous pouvez trouver la liste complète des variables d'environnement disponibles [ici](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+### Configuration  
 
-Si vous souhaitez configurer une configuration haute disponibilité, la communauté fournit des [Helm Charts](https://helm.sh/) et des fichiers YAML, à travers lesquels vous pouvez déployer Dify sur Kubernetes.
+Si vous avez besoin de personnaliser la configuration, veuillez vous référer aux commentaires de notre fichier [docker-compose.yml](docker/docker-compose.yaml) et définir manuellement la configuration de l'environnement. Après avoir apporté les modifications, veuillez exécuter à nouveau `docker-compose up -d`. Vous trouverez la liste complète des variables d'environnement dans notre [documentation](https://docs.dify.ai/getting-started/install-self-hosted/environments).  
 
-- [Helm Chart par @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
-- [Helm Chart par @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [Fichier YAML par @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+## Historique d'étoiles  
 
-#### Utilisation de Terraform pour le déploiement
-
-Déployez Dify sur une plateforme cloud en un clic en utilisant [terraform](https://www.terraform.io/)
-
-##### Azure Global
-- [Azure Terraform par @nikawang](https://github.com/nikawang/dify-azure-terraform)
-
-##### Google Cloud
-- [Google Cloud Terraform par @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
-
-#### Utilisation d'AWS CDK pour le déploiement
-
-Déployez Dify sur AWS en utilisant [CDK](https://aws.amazon.com/cdk/)
-
-##### AWS 
-- [AWS CDK par @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
-
-## Contribuer
-
-Pour ceux qui souhaitent contribuer du code, consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
-Dans le même temps, veuillez envisager de soutenir Dify en le partageant sur les réseaux sociaux et lors d'événements et de conférences.
+[![Diagramme de l'historique des étoiles](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)  
 
 
-> Nous recherchons des contributeurs pour aider à traduire Dify dans des langues autres que le mandarin ou l'anglais. Si vous êtes intéressé à aider, veuillez consulter le [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) pour plus d'informations, et laissez-nous un commentaire dans le canal `global-users` de notre [Serveur communautaire Discord](https://discord.gg/8Tpq4AcN9c).
+## Communauté & Support  
 
-**Contributeurs**
+Nous vous invitons à contribuer à Dify pour aider à améliorer Dify de diverses manières, en soumettant du code, des problèmes, de nouvelles idées ou en partageant les applications d'IA intéressantes et utiles que vous avez créées sur la base de Dify. En même temps, nous vous invitons également à partager Dify lors de différents événements, conférences et réseaux sociaux.  
 
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
+- [Problèmes GitHub](https://github.com/langgenius/dify/issues). Idéal pour : les bogues et les erreurs que vous rencontrez en utilisant Dify.AI, voir le [Guide de contribution](CONTRIBUTING.md).  
+- [Support par courriel](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Idéal pour : les questions que vous avez au sujet de l'utilisation de Dify.AI.   
+- [Discord](https://discord.gg/FngNHpbcY7). Idéal pour : partager vos applications et discuter avec la communauté.   
+- [Twitter](https://twitter.com/dify_ai). Idéal pour : partager vos applications et discuter avec la communauté.
+- [Licence commerciale](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Idéal pour : les demandes commerciales de licence de Dify.AI pour un usage commercial.  
 
-## Communauté & Contact
+## Divulgation de la sécurité  
 
-* [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.
+Pour protéger votre vie privée, veuillez éviter de publier des problèmes de sécurité sur GitHub. Envoyez plutôt vos questions à security@dify.ai et nous vous fournirons une réponse plus détaillée.  
 
-## Historique des étoiles
+## Licence  
 
-[![Graphique de l'historique des étoiles](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-
-## Divulgation de sécurité
-
-Pour protéger votre vie privée, veuillez éviter de publier des problèmes de sécurité sur GitHub. Au lieu de cela, envoyez vos questions à security@dify.ai et nous vous fournirons une réponse plus détaillée.
-
-## Licence
-
-Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement l'Apache 2.0 avec quelques restrictions supplémentaires.
-## Divulgation de sécurité
-
-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.
+Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement Apache 2.0 avec quelques restrictions supplémentaires.

README_JA.md

@@ -1,247 +1,130 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
+[![](./images/describe.png)](https://dify.ai)
 <p align="center">
-  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">セルフホスティング</a> ·
-  <a href="https://docs.dify.ai">ドキュメント</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業のお問い合わせ（英語のみ）</a>
+  <a href="./README.md">English</a> |
+  <a href="./README_CN.md">简体中文</a> |
+  <a href="./README_JA.md">日本語</a> |
+  <a href="./README_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</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>
+        <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
     <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>
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
+            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="X(Twitter)でフォロー"></a>
+        <img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="先月のコミット" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="クローズされた問題" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="ディスカッション投稿" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></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="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
+   Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
+  </a>
 </p>
 
-#
 
-<p align="center">
-  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-</p>
+"Difyは、既にDify.AI上で10万以上のアプリケーションが構築されているLLMアプリケーション開発プラットフォームです。バックエンド・アズ・ア・サービスとLLMOpsの概念を統合し、組み込みのRAGエンジンを含む、生成AIネイティブアプリケーションを構築するためのコアテックスタックをカバーしています。Difyを使用すると、どのLLMに基づいても、Assistants APIやGPTのような機能を自己デプロイすることができます。"
 
-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>
+Please note that translating complex technical terms can sometimes result in slight variations in meaning due to differences in language nuances.
 
-**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。
+![](./images/demo.png)
+
+## クラウドサービスの利用
+
+[Dify.AI Cloud](https://dify.ai) を使用すると、オープンソース版の全機能を利用でき、さらに200GPTのトライアルクレジットが無料で提供されます。
+
+## Difyの利点
+
+Difyはモデルニュートラルであり、LangChainのようなハードコードされた開発ライブラリと比較して、完全にエンジニアリングされた技術スタックを特徴としています。OpenAIのAssistants APIとは異なり、Difyではサービスの完全なローカルデプロイメントが可能です。
+
+| 機能 | Dify.AI | Assistants API | LangChain |
+|---------|---------|----------------|-----------|
+| **プログラミングアプローチ** | API指向 | API指向 | Pythonコード指向 |
+| **エコシステム戦略** | オープンソース | 閉鎖的かつ商業的 | オープンソース |
+| **RAGエンジン** | サポート済み | サポート済み | 非サポート |
+| **プロンプトIDE** | 含まれる | 含まれる | なし |
+| **サポートされるLLMs** | 豊富な種類 | GPTのみ | 豊富な種類 |
+| **ローカルデプロイメント** | サポート済み | 非サポート | 該当なし |
+
+ ## 機能
+
+![](./images/models.png)
+
+**1\. LLMサポート**: OpenAIのGPTファミリーモデルやLlama2ファミリーのオープンソースモデルとの統合。 実際、Difyは主要な商用モデルとオープンソースモデル(ローカルでデプロイまたはMaaSベース)をサポートしています。
+
+**2\. プロンプトIDE**: チームとのLLMベースのアプリケーションとサービスの視覚的なオーケストレーション。
+
+**3\. RAGエンジン**: フルテキストインデックスまたはベクトルデータベース埋め込みに基づくさまざまなRAG機能を含み、PDF、TXT、その他のテキストフォーマットの直接アップロードを可能にします。
+
+**4. AIエージェント**: 関数呼び出しとReActに基づくAgent推論フレームワークにより、ユーザーはツールをカスタマイズすることができます。Difyは、Google検索、DELL·E、Stable Diffusion、WolframAlphaなど、十数種類の組み込みツール呼び出し機能を提供しています。
+
+**5\. 継続的運用**: アプリケーションログとパフォーマンスを監視および分析し、運用データを使用してプロンプト、データセット、またはモデルを継続的に改善します。
+
+## 開始する前に
+
+**私たちをスターして、GitHub上でのすべての新しいリリースに対する即時通知を受け取ります！**
+
+![私たちをスターして](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
+
+- [Website](https://dify.ai)
+- [Docs](https://docs.dify.ai)
+- [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
+- [FAQ](https://docs.dify.ai/getting-started/faq) 
 
 
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+## コミュニティエディションのインストール
 
+### システム要件
 
+Difyをインストールする前に、以下の最低限のシステム要件を満たしていることを確認してください：
 
-**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。
+- CPU >= 2コア
+- RAM >= 4GB
 
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+### クイックスタート
 
-
-**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。
-
-**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**: 
-  アプリケーションのログやパフォーマンスを監視と分析し、生産のデータと注釈に基づいて、プロンプト、データセット、モデルを継続的に改善できます。
-
-**7. Backend-as-a-Service**: 
-  すべての機能はAPIを提供されており、Difyを自分のビジネスロジックに簡単に統合できます。
-
-
-## 機能比較
-<table style="width: 100%;">
-  <tr>
-    <th align="center">機能</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">プログラミングアプローチ</td>
-    <td align="center">API + アプリ指向</td>
-    <td align="center">Pythonコード</td>
-    <td align="center">アプリ指向</td>
-    <td align="center">API指向</td>
-  </tr>
-  <tr>
-    <td align="center">サポートされているLLM</td>
-    <td align="center">バラエティ豊か</td>
-    <td align="center">バラエティ豊か</td>
-    <td align="center">バラエティ豊か</td>
-    <td align="center">OpenAIのみ</td>
-  </tr>
-  <tr>
-    <td align="center">RAGエンジン</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">エージェント</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">ワークフロー</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">観測性</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">エンタープライズ機能（SSO/アクセス制御）</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">ローカル展開</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
-
-## Difyの使用方法
-
-- **クラウド </br>**
-[こちら](https://dify.ai)のDify Cloudサービスを利用して、セットアップ不要で試すことができます。サンドボックスプランには、200回のGPT-4呼び出しが無料で含まれています。
-
-- **Dify Community Editionのセルフホスティング</br>**
-この[スタートガイド](#quick-start)を使用して、ローカル環境でDifyを簡単に実行できます。
-詳しくは[ドキュメント](https://docs.dify.ai)をご覧ください。
-
-- **企業/組織向けのDify</br>**
-企業中心の機能を提供しています。[メールを送信](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)して企業のニーズについて相談してください。 </br>
-  > AWSを使用しているスタートアップ企業や中小企業の場合は、[AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)のDify Premiumをチェックして、ワンクリックで自分のAWS VPCにデプロイできます。さらに、手頃な価格のAMIオファリングどして、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
-
-GitHub上でDifyにスターを付けることで、Difyに関する新しいニュースを受け取れます。
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-
-
-## クイックスタート
-> Difyをインストールする前に、お使いのマシンが以下の最小システム要件を満たしていることを確認してください：
-> 
->- CPU >= 2コア
->- RAM >= 4GB
-
-</br>
-
-Difyサーバーを起動する最も簡単な方法は、[docker-compose.yml](docker/docker-compose.yaml)ファイルを実行することです。インストールコマンドを実行する前に、マシンに[Docker](https://docs.docker.com/get-docker/)と[Docker Compose](https://docs.docker.com/compose/install/)がインストールされていることを確認してください。
+Difyサーバーを始める最も簡単な方法は、[docker-compose.yml](docker/docker-compose.yaml) ファイルを実行することです。インストールコマンドを実行する前に、マシンに [Docker](https://docs.docker.com/get-docker/) と [Docker Compose](https://docs.docker.com/compose/install/) がインストールされていることを確認してください：
 
 ```bash
 cd docker
-cp .env.example .env
 docker compose up -d
 ```
 
-実行後、ブラウザで[http://localhost/install](http://localhost/install)にアクセスし、初期化プロセスを開始できます。
+実行後、ブラウザで [http://localhost/install](http://localhost/install) にアクセスし、初期化インストールプロセスを開始できます。
 
-> Difyに貢献したり、追加の開発を行う場合は、[ソースコードからのデプロイガイド](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)を参照してください。
+### Helm Chart
 
-## 次のステップ
+@BorisPolonskyによる[Helm Chart](https://helm.sh/) バージョンを提供してくれて、大変感謝しています。これにより、DifyはKubernetes上にデプロイすることができます。
+デプロイ情報については、https://github.com/BorisPolonsky/dify-helm をご覧ください。
 
-設定をカスタマイズする必要がある場合は、[.env.example](docker/.env.example) ファイルのコメントを参照し、`.env` ファイルの対応する値を更新してください。さらに、デプロイ環境や要件に応じて、`docker-compose.yaml` ファイル自体を調整する必要がある場合があります。たとえば、イメージのバージョン、ポートのマッピング、ボリュームのマウントなどを変更します。変更を加えた後は、`docker-compose up -d` を再実行してください。利用可能な環境変数の全一覧は、[こちら](https://docs.dify.ai/getting-started/install-self-hosted/environments)で確認できます。
+### 設定
 
-高可用性設定を設定する必要がある場合、コミュニティは[Helm Charts](https://helm.sh/)とYAMLファイルにより、DifyをKubernetesにデプロイすることができます。
-
-- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
-- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
-
-#### 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)
-
-##### 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
-
-コードに貢献したい方は、[Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)を参照してください。
-同時に、DifyをSNSやイベント、カンファレンスで共有してサポートしていただけると幸いです。
+設定をカスタマイズする必要がある場合は、[docker-compose.yml](docker/docker-compose.yaml) ファイルのコメントを参照し、環境設定を手動で行ってください。変更を行った後は、もう一度 `docker-compose up -d` を実行してください。環境変数の完全なリストは、[ドキュメント](https://docs.dify.ai/getting-started/install-self-hosted/environments)で確認できます。
 
 
-> Difyを英語または中国語以外の言語に翻訳してくれる貢献者を募集しています。興味がある場合は、詳細については[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)を参照してください。また、[Discordコミュニティサーバー](https://discord.gg/8Tpq4AcN9c)の`global-users`チャンネルにコメントを残してください。
+## スターヒストリー
 
-**貢献者**
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
+## コミュニティとサポート
 
-## コミュニティ & お問い合わせ
+Difyに貢献していただき、コードの提出、問題の報告、新しいアイデアの提供、またはDifyを基に作成した興味深く有用なAIアプリケーションの共有により、Difyをより良いものにするお手伝いを歓迎します。同時に、さまざまなイベント、会議、ソーシャルメディアでDifyを共有することも歓迎します。
 
-* [Github Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。
-* [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIを使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください
-* [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。
-* [X(Twitter)](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。
+- [GitHub Issues](https://github.com/langgenius/dify/issues)。最適な使用法：Dify.AIの使用中に遭遇するバグやエラー、[貢献ガイド](CONTRIBUTING.md)を参照。
+- [Email サポート](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。最適な使用法：Dify.AIの使用に関する質問。
+- [Discord](https://discord.gg/FngNHpbcY7)。最適な使用法：アプリケーションの共有とコミュニティとの交流。
+- [Twitter](https://twitter.com/dify_ai)。最適な使用法：アプリケーションの共有とコミュニティとの交流。
+- [ビジネスライセンス](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。最適な使用法：Dify.AIを商業利用するためのビジネス関連の問い合わせ。
 
+## セキュリティ
 
+プライバシー保護のため、GitHub へのセキュリティ問題の投稿は避けてください。代わりに、あなたの質問を security@dify.ai に送ってください。より詳細な回答を提供します。
 
 ## ライセンス
 
-このリポジトリは、Dify Open Source License にいくつかの追加制限を加えた[Difyオープンソースライセンス](LICENSE)の下で利用可能です。
+ このリポジトリは、基本的にApache 2.0にいくつかの追加制限を加えた[Difyオープンソースライセンス](LICENSE)の下で利用できます。

README_KL.md

@@ -1,257 +1,119 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
+[![](./images/describe.png)](https://dify.ai)
 <p align="center">
-  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
-  <a href="https://docs.dify.ai">Documentation</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Commercial enquiries</a>
+  <a href="./README.md">English</a> |
+  <a href="./README_CN.md">简体中文</a> |
+  <a href="./README_JA.md">日本語</a> |
+  <a href="./README_ES.md">Español</a> |
+  <a href="./README_KL.md">Klingon</a> |
+  <a href="./README_FR.md">Français</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>
+        <img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></a>
     <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"
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
             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>
+        <img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
+            alt="follow on Twitter"></a>
     <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></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>
-</p>
+**Dify** Hoch LLM qorwI' pIqoDvam pagh laHta' je **100,000** pIqoDvamvam Dify.AI De'wI'. Dify leghpu' Backend chu' a Service teH LLMOps vItlhutlh, generative AI-native pIqoD teq wa'vam, vIyoD Built-in RAG engine. Dify, **'ej chenmoHmoH Hoch 'oHna' Assistant API 'ej GPTmey HoStaHbogh LLMmey.**
 
-#
+![](./images/demo.png)
 
-<p align="center">
-  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-</p>
-Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
-</br> </br>
+## ngIl QaQ
 
-**1. Workflow**: 
-  Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
+[Dify.AI ngIl](https://dify.ai) pIm neHlaH 'ej ghaH. cha'logh wa' DIvI' 200 GPT trial credits.
 
+## Dify WovmoH
 
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+Dify Daq rIn neutrality 'ej Hoch, LangChain tInHar HubwI'. maH Daqbe'law' Qawqar, OpenAI's Assistant API Daq local neH deployment.
 
+| Qo'logh | Dify.AI | Assistants API | LangChain |
+|---------|---------|----------------|-----------|
+| **qet QaS** | API-oriented | API-oriented | Python Code-oriented |
+| **Ecosystem Strategy** | Open Source | Closed and Commercial | Open Source |
+| **RAG Engine** | Ha'qu' | Ha'qu' | ghoS Ha'qu' |
+| **Prompt IDE** | jaH Include | jaH Include | qeylIS qaq |
+| **qet LLMmey** | bo'Degh Hoch | GPTmey tIn | bo'Degh Hoch |
+| **local deployment** | Ha'qu' | tInHa'qu' | tInHa'qu' ghogh |
 
+## ruch
 
-**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).
+![](./images/models.png)
 
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+**1. LLM tIq**: OpenAI's GPT Hur nISmoHvam neH vIngeH, wa' Llama2 Hur nISmoHvam. Heghlu'lu'pu' Dify mIw 'oH choH qay'be'.Daq commercial Hurmey 'ej Open Source Hurmey (maqtaHvIS pagh locally neH neH deployment HoSvam).
 
+**2. Prompt IDE**: cha'logh wa' LLMmey Hoch janlu'pu' 'ej lughpu' choH qay'be'.
 
-**3. Prompt IDE**: 
-  Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app. 
+**3. RAG Engine**: RAG vaD tIqpu' lo'taH indexing qor neH vector database wa' embeddings wIj, PDFs, TXTs, 'ej ghojmoHmoH HIq qorlIj je upload.
 
-**4. RAG Pipeline**: 
-  Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
+**4. AI Agent**: Function Calling 'ej ReAct Daq Hurmey, Agent inference framework Hoch users customize tools, vaj 'oH QaQ. Dify Hoch loS ghaH 'ej wa'vatlh built-in tool calling capabilities, Google Search, DELL·E, Stable Diffusion, WolframAlpha, 'ej.
 
-**5. Agent capabilities**: 
-  You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
+**5. QaS muDHa'wI': cha'logh wa' pIq mI' logs 'ej quv yIn, vItlhutlh tIq 'e'wIj lo'taHmoHmoH Prompts, vItlhutlh, Hurmey ghaH production data jatlh.
 
-**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.
+## Do'wI' qabmey lo'taH
 
-**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.
+**maHvaD jatlhchugh, GitHub Daq Hoch chu' ghompu'vam tIqel yInob!**
 
+![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
 
-## Feature Comparison
-<table style="width: 100%;">
-  <tr
+- [Website](https://dify.ai)
+- [Docs](https://docs.dify.ai)
+- [lo'taHmoH Docs](https://docs.dify.ai/getting-started/install-self-hosted)
+- [FAQ](https://docs.dify.ai/getting-started/faq) 
 
->
-    <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>
+## Community Edition tu' yo'
 
-## Using Dify
+### System Qab
 
-- **Cloud </br>**
-We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
+Dify yo' yo' qaqmeH SuS chenmoH 'oH qech!
 
-- **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.
+- CPU >= 2 Cores
+- RAM >= 4GB
 
-- **Dify for Enterprise / Organizations</br>**
-We provide additional enterprise-centric features. [Send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
-  > For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
+### Quick Start
 
-
-## Staying ahead
-
-Star Dify on GitHub and be instantly notified of new releases.
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-
-
-## Quick Start
-> Before installing Dify, make sure your machine meets the following minimum system requirements:
-> 
->- CPU >= 2 Core
->- RAM >= 4GB
-
-</br>
-
-The easiest way to start the Dify server is to run our [docker-compose.yml](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
+Dify server luHoHtaHlu' vIngeH lo'laHbe'chugh vIyoD [docker-compose.yml](docker/docker-compose.yaml) QorwI'ghach. toH yItlhutlh chenmoH luH!chugh 'ay' vaj vIneHmeH, 'ej [Docker](https://docs.docker.com/get-docker/) 'ej [Docker Compose](https://docs.docker.com/compose/install/) vaj 'oH 'e' vIneHmeH:
 
 ```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.
+luHoHtaHmeH HoHtaHvIS, Dify dashboard vIneHmeH vIngeH lI'wI' [http://localhost/install](http://localhost/install) 'ej 'oH initialization 'e' vIneHmeH.
 
-> 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)
+### Helm Chart
 
-## Next steps
+@BorisPolonsky Dify wIq tIq ['ay'var (Helm Chart)](https://helm.sh/) version Hur yIn chu' Dify luHoHchu'. Heghlu'lu' vIneHmeH [https://github.com/BorisPolonsky/dify-helm](https://github.com/BorisPolonsky/dify-helm) 'ej vaj QaS deployment information.
 
-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).
+### veS config
 
-If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes.
+chenmoHDI' config lo'taH ghaH, vItlhutlh HIq wIgharghbe'lu'pu'. toH lo'taHvIS pagh vay' vIneHmeH, 'ej `docker-compose up -d` wa'DIch. tIqmoHmeH list full wa' lo'taHvo'lu'pu' ghaH [docs](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 
-- [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)
+## tIng qem
 
-#### Terraform atorlugu pilersitsineq
+[![tIng qem Hur Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-wa'logh nIqHom neH ghun deployment toy'wI' [terraform](https://www.terraform.io/) lo'laH.
+## choHmoH 'ej vItlhutlh
 
-##### Azure Global
-- [Azure Terraform mung @nikawang](https://github.com/nikawang/dify-azure-terraform)
+Dify choHmoH je mIw Dify puqloD, Dify ghaHta'bogh vItlhutlh, HurDI' code, ghItlh, ghItlh qo'lu'pu'pu' qej. tIqmeH, Hurmey je, Dify Hur tIqDI' woDDaj, DuD QangmeH 'ej HInobDaq vItlhutlh HImej Dify'e'.
 
-##### Google Cloud
-- [Google Cloud Terraform qachlot @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+- [GitHub vItlhutlh](https://github.com/langgenius/dify/issues). Hurmey: bugs 'ej errors Dify.AI tIqmeH. yImej [Contribution Guide](CONTRIBUTING.md).
+- [Email QaH](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Hurmey: questions vItlhutlh Dify.AI chaw'.
+- [Discord](https://discord.gg/FngNHpbcY7). Hurmey: jIpuv 'ej jImej mIw Dify vItlhutlh.
+- [Twitter](https://twitter.com/dify_ai). Hurmey: jIpuv 'ej jImej mIw Dify vItlhutlh.
+- [Business License](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Hurmey: qurgh vItlhutlh Hurmey Dify.AI tIqbe'law'.
 
-#### AWS CDK atorlugh pilersitsineq
+## bIQDaqmey bom
 
-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
-
-For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
-At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
-
-
-> We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
-
-**Contributors**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## Community & Contact
-
-* [Github Discussion](https://github.com/langgenius/dify/discussions
-
-). Best for: sharing feedback and asking questions.
-* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
-* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
-* [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
-
-## Star History
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-
-## Security Disclosure
-
-To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
+taghlI' vIngeH'a'? pong security 'oH posting GitHub. yItlhutlh, toH security@dify.ai 'ej vIngeH'a'.
 
 ## License
 
-This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.
+ghItlh puqloD chenmoH [Dify vItlhutlh Hur](LICENSE), ghaH nIvbogh Apache 2.0.
+

README_KR.md

@@ -1,248 +0,0 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify 클라우드</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">셀프-호스팅</a> ·
-  <a href="https://docs.dify.ai">문서</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">기업 문의 (영어만 가능)</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://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>
-</p>
-
-
-   Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페이스를 통해 AI 워크플로우, RAG 파이프라인, 에이전트 기능, 모델 관리, 관찰 기능 등을 결합하여 프로토타입에서 프로덕션까지 빠르게 전환할 수 있습니다. 주요 기능 목록은 다음과 같습니다:</br> </br>
-
-**1. 워크플로우**:
-    다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요.
-
-
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
-
-
-
-**2. 포괄적인 모델 지원:**: 
-
-수십 개의 추론 제공업체와 자체 호스팅 솔루션에서 제공하는 수백 개의 독점 및 오픈 소스 LLM과 원활하게 통합되며, GPT, Mistral, Llama3 및 모든 OpenAI API 호환 모델을 포함합니다. 지원되는 모델 제공업체의 전체 목록은 [여기](https://docs.dify.ai/getting-started/readme/model-providers)에서 확인할 수 있습니다.
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
-
-
-**3. 통합 개발환경**:
-  프롬프트를 작성하고, 모델 성능을 비교하며, 텍스트-음성 변환과 같은 추가 기능을 채팅 기반 앱에 추가할 수 있는 직관적인 인터페이스를 제공합니다.
-
-**4. RAG 파이프라인**: 
-  문서 수집부터 검색까지 모든 것을 다루며, PDF, PPT 및 기타 일반적인 문서 형식에서 텍스트 추출을 위한 기본 지원이 포함되어 있는 광범위한 RAG 기능을 제공합니다.
-
-**5. 에이전트 기능**:
-  LLM 함수 호출 또는 ReAct를 기반으로 에이전트를 정의하고 에이전트에 대해 사전 구축된 도구나 사용자 정의 도구를 추가할 수 있습니다. Dify는 Google Search, DALL·E, Stable Diffusion, WolframAlpha 등 AI 에이전트를 위한 50개 이상의 내장 도구를 제공합니다.
-
-**6. LLMOps**:
-  시간 경과에 따른 애플리케이션 로그와 성능을 모니터링하고 분석합니다. 생산 데이터와 주석을 기반으로 프롬프트, 데이터세트, 모델을 지속적으로 개선할 수 있습니다.
-
-**7. Backend-as-a-Service**:
-  Dify의 모든 제품에는 해당 API가 함께 제공되므로 Dify를 자신의 비즈니스 로직에 쉽게 통합할 수 있습니다.
-
-## 기능 비교
-<table style="width: 100%;">
-  <tr>
-    <th align="center">기능</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">프로그래밍 접근 방식</td>
-    <td align="center">API + 앱 중심</td>
-    <td align="center">Python 코드</td>
-    <td align="center">앱 중심</td>
-    <td align="center">API 중심</td>
-  </tr>
-  <tr>
-    <td align="center">지원되는 LLMs</td>
-    <td align="center">다양한 종류</td>
-    <td align="center">다양한 종류</td>
-    <td align="center">다양한 종류</td>
-    <td align="center">OpenAI 전용</td>
-  </tr>
-  <tr>
-    <td align="center">RAG 엔진</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">에이전트</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">워크플로우</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">가시성</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">기업용 기능 (SSO/접근 제어)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">로컬 배포</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
-
-## Dify 사용하기
-
-- **클라우드 </br>**
-  우리는 누구나 설정이 필요 없이 사용해 볼 수 있도록 [Dify 클라우드](https://dify.ai) 서비스를 호스팅합니다. 이는 자체 배포 버전의 모든 기능을 제공하며, 샌드박스 플랜에서 무료로 200회의 GPT-4 호출을 포함합니다.
-
-- **셀프-호스팅 Dify 커뮤니티 에디션</br>**
-  환경에서 Dify를 빠르게 실행하려면 이  [스타터 가이드를](#quick-start) 참조하세요.
-  추가 참조 및 더 심층적인 지침은 [문서](https://docs.dify.ai)를 사용하세요.
-
-- **기업 / 조직을 위한 Dify</br>**
-  우리는 추가적인 기업 중심 기능을 제공합니다. 잡거나  [이메일 보내기](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)를 통해 기업 요구 사항을 논의하십시오. </br>
-  > AWS를 사용하는 스타트업 및 중소기업의 경우 [AWS Marketplace에서 Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)을 확인하고 한 번의 클릭으로 자체 AWS VPC에 배포하십시오. 맞춤형 로고와 브랜딩이 포함된 앱을 생성할 수 있는 옵션이 포함된 저렴한 AMI 제품입니다.
-
-
-
-## 앞서가기
-
-GitHub에서 Dify에 별표를 찍어 새로운 릴리스를 즉시 알림 받으세요.
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-
-
-## 빠른 시작
->Dify를 설치하기 전에 컴퓨터가 다음과 같은 최소 시스템 요구 사항을 충족하는지 확인하세요 : 
->- CPU >= 2 Core
->- RAM >= 4GB
-
-</br>
-
-Dify 서버를 시작하는 가장 쉬운 방법은 [docker-compose.yml](docker/docker-compose.yaml) 파일을 실행하는 것입니다. 설치 명령을 실행하기 전에 [Docker](https://docs.docker.com/get-docker/) 및 [Docker Compose](https://docs.docker.com/compose/install/)가 머신에 설치되어 있는지 확인하세요.
-
-```bash
-cd docker
-cp .env.example .env
-docker compose up -d
-```
-
-실행 후 브라우저의 [http://localhost/install](http://localhost/install) 에서 Dify 대시보드에 액세스하고 초기화 프로세스를 시작할 수 있습니다.
-
-> Dify에 기여하거나 추가 개발을 하고 싶다면 소스 코드에서 [배포에 대한 가이드](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)를 참조하세요.
-
-## 다음 단계
-
-구성을 사용자 정의해야 하는 경우 [.env.example](docker/.env.example) 파일의 주석을 참조하고 `.env` 파일에서 해당 값을 업데이트하십시오. 또한 특정 배포 환경 및 요구 사항에 따라 `docker-compose.yaml` 파일 자체를 조정해야 할 수도 있습니다. 예를 들어 이미지 버전, 포트 매핑 또는 볼륨 마운트를 변경합니다. 변경 한 후 `docker-compose up -d`를 다시 실행하십시오. 사용 가능한 환경 변수의 전체 목록은 [여기](https://docs.dify.ai/getting-started/install-self-hosted/environments)에서 찾을 수 있습니다.
-
-Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했다는 커뮤니티가 제공하는 [Helm Charts](https://helm.sh/)와 YAML 파일이 존재합니다.
-
-- [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)
-
-#### Terraform을 사용한 배포
-
-[terraform](https://www.terraform.io/)을 사용하여 단 한 번의 클릭으로 Dify를 클라우드 플랫폼에 배포하십시오
-
-##### Azure Global
-- [nikawang의 Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
-
-##### Google Cloud
-- [sotazum의 Google Cloud Terraform](https://github.com/DeNA/dify-google-cloud-terraform)
-
-#### AWS CDK를 사용한 배포
-
-[CDK](https://aws.amazon.com/cdk/)를 사용하여 AWS에 Dify 배포
-
-##### AWS 
-- [KevinZhao의 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
-
-## 기여
-
-코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
-동시에 Dify를 소셜 미디어와 행사 및 컨퍼런스에 공유하여 지원하는 것을 고려해 주시기 바랍니다.
-
-
-> 우리는 Dify를 중국어나 영어 이외의 언어로 번역하는 데 도움을 줄 수 있는 기여자를 찾고 있습니다. 도움을 주고 싶으시다면 [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)에서 더 많은 정보를 확인하시고 [Discord 커뮤니티 서버](https://discord.gg/8Tpq4AcN9c)의 `global-users` 채널에 댓글을 남겨주세요. 
-
-**기여자**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## 커뮤니티 & 연락처
-
-* [Github 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다.
-* [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요. 
-* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
-* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
-
-
-## Star 히스토리
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-
-## 보안 공개
-
-개인정보 보호를 위해 보안 문제를 GitHub에 게시하지 마십시오. 대신 security@dify.ai로 질문을 보내주시면 더 자세한 답변을 드리겠습니다.
-
-## 라이선스
-
-이 저장소는 기본적으로 몇 가지 추가 제한 사항이 있는 Apache 2.0인 [Dify 오픈 소스 라이선스](LICENSE)에 따라 사용할 수 있습니다.

README_PT.md

@@ -1,251 +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://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>
-</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

@@ -1,187 +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://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>
-</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.
-
-
-## 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

@@ -1,251 +0,0 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify Bulut</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Kendi Sunucunuzda Barındırma</a> ·
-  <a href="https://docs.dify.ai">Dokümantasyon</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yalnızca İngilizce: Kurumsal Sorgulama</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Statik Rozet" src="https://img.shields.io/badge/Ürün-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Statik Rozet" src="https://img.shields.io/badge/ücretsiz-fiyatlandırma?logo=free&color=%20%23155EEF&label=fiyatlandirma&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="Discord'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://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">
-        <img alt="Geçen ay yapılan commitler" 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="Kapatılan sorunlar" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=kapatilan%20sorunlar&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Tartışma gönderileri" 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>
-</p>
-
-
-Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel arayüzü, AI iş akışı, RAG pipeline'ı, ajan yetenekleri, model yönetimi, gözlemlenebilirlik özellikleri ve daha fazlasını birleştirerek, prototipten üretime hızlıca geçmenizi sağlar. İşte temel özelliklerin bir listesi:
-</br> </br>
-
-**1. Workflow**: 
-Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edin, aşağıdaki tüm özellikleri ve daha fazlasını kullanarak.
-
-
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
-
-
-
-**2. Kapsamlı model desteği**:
-Çok sayıda çıkarım sağlayıcısı ve kendi kendine barındırılan çözümlerden yüzlerce özel / açık kaynaklı LLM ile sorunsuz entegrasyon sağlar. GPT, Mistral, Llama3 ve OpenAI API uyumlu tüm modelleri kapsar. Desteklenen model sağlayıcılarının tam listesine [buradan](https://docs.dify.ai/getting-started/readme/model-providers) ulaşabilirsiniz.
-
-![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.
-
-**4. RAG Pipeline**: 
-  Belge alımından bilgi çekmeye kadar geniş kapsamlı RAG yetenekleri. PDF'ler, PPT'ler ve diğer yaygın belge formatlarından metin çıkarma için hazır destek sunar.
-
-**5. Ajan yetenekleri**: 
-  LLM Fonksiyon Çağırma veya ReAct'a dayalı ajanlar tanımlayabilir ve bu ajanlara önceden hazırlanmış veya özel araçlar ekleyebilirsiniz. Dify, AI ajanları için Google Arama, DALL·E, Stable Diffusion ve WolframAlpha gibi 50'den fazla yerleşik araç sağlar.
-
-**6. LLMOps**: 
-  Uygulama loglarını ve performans metriklerini zaman içinde izleme ve analiz etme imkanı. Üretim ortamından elde edilen verilere ve kullanıcı geri bildirimlerine dayanarak, prompt'ları, veri setlerini ve modelleri sürekli olarak optimize edebilirsiniz. Bu sayede, AI uygulamanızın performansını ve doğruluğunu sürekli olarak artırabilirsiniz.
-
-**7. Hizmet Olarak Backend**: 
-  Dify'ın tüm özellikleri ilgili API'lerle birlikte gelir, böylece Dify'ı kendi iş mantığınıza kolayca entegre edebilirsiniz.
-
-
-## Özellik karşılaştırması
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Özellik</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">Programlama Yaklaşımı</td>
-    <td align="center">API + Uygulama odaklı</td>
-    <td align="center">Python Kodu</td>
-    <td align="center">Uygulama odaklı</td>
-    <td align="center">API odaklı</td>
-  </tr>
-  <tr>
-    <td align="center">Desteklenen LLM'ler</td>
-    <td align="center">Zengin Çeşitlilik</td>
-    <td align="center">Zengin Çeşitlilik</td>
-    <td align="center">Zengin Çeşitlilik</td>
-    <td align="center">Yalnızca OpenAI</td>
-  </tr>
-  <tr>
-    <td align="center">RAG Motoru</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Ajan</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">İş Akışı</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Gözlemlenebilirlik</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Kurumsal Özellikler (SSO/Erişim kontrolü)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Yerel Dağıtım</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
-
-## 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>**
-Bu [başlangıç kılavuzu](#quick-start) ile Dify'ı kendi ortamınızda hızlıca çalıştırın.
-Daha fazla referans ve detaylı talimatlar için [dokümantasyonumuzu](https://docs.dify.ai) kullanın.
-
-- **Kurumlar / organizasyonlar için Dify</br>**
-Ek kurumsal odaklı özellikler sunuyoruz. Kurumsal ihtiyaçları görüşmek için [bize bir e-posta gönderin](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). </br>
-  > AWS kullanan startuplar ve küçük işletmeler için, [AWS Marketplace'deki Dify Premium'a](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) göz atın ve tek tıklamayla kendi AWS VPC'nize dağıtın. Bu, özel logo ve marka ile uygulamalar oluşturma seçeneğine sahip uygun fiyatlı bir AMI teklifdir.
-
-## Güncel Kalma
-
-GitHub'da Dify'a yıldız verin ve yeni sürümlerden anında haberdar olun.
-
-![bizi-yıldızlayın](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-
-
-## Hızlı başlangıç
-> Dify'ı kurmadan önce, makinenizin aşağıdaki minimum sistem gereksinimlerini karşıladığından emin olun:
-> 
->- CPU >= 2 Çekirdek
->- RAM >= 4GB
-
-</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
-cd docker
-cp .env.example .env
-docker compose up -d
-```
-
-Çalıştırdıktan sonra, tarayıcınızda [http://localhost/install](http://localhost/install) adresinden Dify kontrol paneline erişebilir ve başlangıç ayarları sürecini başlatabilirsiniz.
-
-> Eğer Dify'a katkıda bulunmak veya ek geliştirmeler yapmak isterseniz, [kaynak koddan dağıtım kılavuzumuza](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) başvurun.
-
-## Sonraki adımlar
-
-Yapılandırmayı özelleştirmeniz gerekiyorsa, lütfen [.env.example](docker/.env.example) dosyamızdaki yorumlara bakın ve `.env` dosyanızdaki ilgili değerleri güncelleyin. Ayrıca, spesifik dağıtım ortamınıza ve gereksinimlerinize bağlı olarak `docker-compose.yaml` dosyasının kendisinde de, imaj sürümlerini, port eşlemelerini veya hacim bağlantılarını değiştirmek gibi ayarlamalar yapmanız gerekebilir. Herhangi bir değişiklik yaptıktan sonra, lütfen `docker-compose up -d` komutunu tekrar çalıştırın. Kullanılabilir tüm ortam değişkenlerinin tam listesini [burada](https://docs.dify.ai/getting-started/install-self-hosted/environments) bulabilirsiniz.
-
-Yüksek kullanılabilirliğe sahip bir kurulum yapılandırmak isterseniz, Dify'ın Kubernetes üzerine dağıtılmasına olanak tanıyan topluluk katkılı [Helm Charts](https://helm.sh/) ve YAML dosyaları mevcuttur.
-
-- [@LeoQuote tarafından Helm Chart](https://github.com/douban/charts/tree/master/charts/dify)
-- [@BorisPolonsky tarafından Helm Chart](https://github.com/BorisPolonsky/dify-helm)
-- [@Winson-030 tarafından YAML dosyası](https://github.com/Winson-030/dify-kubernetes)
-
-#### 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)
-
-## Katkıda Bulunma
-
-Kod katkısında bulunmak isteyenler için [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakabilirsiniz.
-Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda paylaşarak desteklemeyi düşünün.
-
-> Dify'ı Mandarin veya İngilizce dışındaki dillere çevirmemize yardımcı olacak katkıda bulunanlara ihtiyacımız var. Yardımcı olmakla ilgileniyorsanız, lütfen daha fazla bilgi için [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) dosyasına bakın ve [Discord Topluluk Sunucumuzdaki](https://discord.gg/8Tpq4AcN9c) `global-users` kanalında bize bir yorum bırakın.
-
-**Katkıda Bulunanlar**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## Topluluk & iletişim
-
-* [Github Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
-* [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın.
-* [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
-* [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
-
-## Star history
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## Güvenlik açıklaması
-
-Gizliliğinizi korumak için, lütfen güvenlik sorunlarını GitHub'da paylaşmaktan kaçının. Bunun yerine, sorularınızı security@dify.ai adresine gönderin ve size daha detaylı bir cevap vereceğiz.
-
-## Lisans
-
-Bu depo, temel olarak Apache 2.0 lisansı ve birkaç ek kısıtlama içeren [Dify Açık Kaynak Lisansı](LICENSE) altında kullanıma sunulmuştur.

README_VI.md

@@ -1,248 +0,0 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Tự triển khai</a> ·
-  <a href="https://docs.dify.ai">Tài liệu</a> ·
-  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yêu cầu doanh nghiệp</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 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://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 tháng trước" 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="Vấn đề đã đóng" 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="Bài thảo luận" 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>
-</p>
-
-
-Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Giao diện trực quan kết hợp quy trình làm việc AI, mô hình RAG, khả năng tác nhân, quản lý mô hình, tính năng quan sát và hơn thế nữa, cho phép bạn nhanh chóng chuyển từ nguyên mẫu sang sản phẩm. Đây là danh sách các tính năng cốt lõi:
-</br> </br>
-
-**1. Quy trình làm việc**: 
-  Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.
-
-
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
-
-
-
-**2. Hỗ trợ mô hình toàn diện**: 
-  Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/readme/model-providers).
-
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
-
-
-**3. IDE Prompt**: 
-  Giao diện trực quan để tạo prompt, so sánh hiệu suất mô hình và thêm các tính năng bổ sung như chuyển văn bản thành giọng nói cho một ứng dụng dựa trên trò chuyện. 
-
-**4. Mô hình RAG**: 
-  Khả năng RAG mở rộng bao gồm mọi thứ từ nhập tài liệu đến truy xuất, với hỗ trợ sẵn có cho việc trích xuất văn bản từ PDF, PPT và các định dạng tài liệu phổ biến khác.
-
-**5. Khả năng tác nhân**: 
-  Bạn có thể định nghĩa các tác nhân dựa trên LLM Function Calling hoặc ReAct, và thêm các công cụ được xây dựng sẵn hoặc tùy chỉnh cho tác nhân. Dify cung cấp hơn 50 công cụ tích hợp sẵn cho các tác nhân AI, như Google Search, DALL·E, Stable Diffusion và WolframAlpha.
-
-**6. LLMOps**: 
-  Giám sát và phân tích nhật ký và hiệu suất ứng dụng theo thời gian. Bạn có thể liên tục cải thiện prompt, bộ dữ liệu và mô hình dựa trên dữ liệu sản xuất và chú thích.
-
-**7. Backend-as-a-Service**: 
-  Tất cả các dịch vụ của Dify đều đi kèm với các API tương ứng, vì vậy bạn có thể dễ dàng tích hợp Dify vào logic kinh doanh của riêng mình.
-
-
-## So sánh tính năng
-<table style="width: 100%;">
-  <tr>
-    <th align="center">Tính năng</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">Phương pháp lập trình</td>
-    <td align="center">Hướng API + Ứng dụng</td>
-    <td align="center">Mã Python</td>
-    <td align="center">Hướng ứng dụng</td>
-    <td align="center">Hướng API</td>
-  </tr>
-  <tr>
-    <td align="center">LLMs được hỗ trợ</td>
-    <td align="center">Đa dạng phong phú</td>
-    <td align="center">Đa dạng phong phú</td>
-    <td align="center">Đa dạng phong phú</td>
-    <td align="center">Chỉ OpenAI</td>
-  </tr>
-  <tr>
-    <td align="center">RAG Engine</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Agent</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">Quy trình làm việc</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Khả năng quan sát</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Tính năng doanh nghiệp (SSO/Kiểm soát truy cập)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">Triển khai cục bộ</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
-
-## Sử dụng Dify
-
-- **Cloud </br>**
-Chúng tôi lưu trữ dịch vụ [Dify Cloud](https://dify.ai) cho bất kỳ ai muốn thử mà không cần cài đặt. Nó cung cấp tất cả các khả năng của phiên bản tự triển khai và bao gồm 200 lượt gọi GPT-4 miễn phí trong gói sandbox.
-
-- **Tự triển khai Dify Community Edition</br>**
-Nhanh chóng chạy Dify trong môi trường của bạn với [hướng dẫn bắt đầu](#quick-start) này.
-Sử dụng [tài liệu](https://docs.dify.ai) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn.
-
-- **Dify cho doanh nghiệp / tổ chức</br>**
-Chúng tôi cung cấp các tính năng bổ sung tập trung vào doanh nghiệp. [Ghi lại câu hỏi của bạn cho chúng tôi thông qua chatbot này](https://udify.app/chat/22L1zSxg6yW1cWQg) hoặc [gửi email cho chúng tôi](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) để thảo luận về nhu cầu doanh nghiệp. </br>
-  > Đối với các công ty khởi nghiệp và doanh nghiệp nhỏ sử dụng AWS, hãy xem [Dify Premium trên AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) và triển khai nó vào AWS VPC của riêng bạn chỉ với một cú nhấp chuột. Đây là một AMI giá cả phải chăng với tùy chọn tạo ứng dụng với logo và thương hiệu tùy chỉnh.
-
-
-## Luôn cập nhật
-
-Yêu thích Dify trên GitHub và được thông báo ngay lập tức về các bản phát hành mới.
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-
-
-## Bắt đầu nhanh
-> Trước khi cài đặt Dify, hãy đảm bảo máy của bạn đáp ứng các yêu cầu hệ thống tối thiểu sau:
-> 
->- CPU >= 2 Core
->- RAM >= 4GB
-
-</br>
-
-Cách dễ nhất để khởi động máy chủ Dify là chạy tệp [docker-compose.yml](docker/docker-compose.yaml) của chúng tôi. Trước khi chạy lệnh cài đặt, hãy đảm bảo rằng [Docker](https://docs.docker.com/get-docker/) và [Docker Compose](https://docs.docker.com/compose/install/) đã được cài đặt trên máy của bạn:
-
-```bash
-cd docker
-cp .env.example .env
-docker compose up -d
-```
-
-Sau khi chạy, bạn có thể truy cập bảng điều khiển Dify trong trình duyệt của bạn tại [http://localhost/install](http://localhost/install) và bắt đầu quá trình khởi tạo.
-
-> Nếu bạn muốn đóng góp cho Dify hoặc phát triển thêm, hãy tham khảo [hướng dẫn triển khai từ mã nguồn](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) của chúng tôi
-
-## Các bước tiếp theo
-
-Nếu bạn cần tùy chỉnh cấu hình, vui lòng tham khảo các nhận xét trong tệp [.env.example](docker/.env.example) của chúng tôi và cập nhật các giá trị tương ứng trong tệp `.env` của bạn. Ngoài ra, bạn có thể cần điều chỉnh tệp `docker-compose.yaml`, chẳng hạn như thay đổi phiên bản hình ảnh, ánh xạ cổng hoặc gắn kết khối lượng, dựa trên môi trường triển khai cụ thể và yêu cầu của bạn. Sau khi thực hiện bất kỳ thay đổi nào, vui lòng chạy lại `docker-compose up -d`. Bạn có thể tìm thấy danh sách đầy đủ các biến môi trường có sẵn [tại đây](https://docs.dify.ai/getting-started/install-self-hosted/environments).
-
-Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có các [Helm Charts](https://helm.sh/) và tệp YAML do cộng đồng đóng góp cho phép Dify được triển khai trên Kubernetes.
-
-- [Helm Chart bởi @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
-- [Helm Chart bởi @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-- [Tệp YAML bởi @Winson-030](https://github.com/Winson-030/dify-kubernetes)
-
-#### 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
-- [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. 
-Đồng thời, vui lòng xem xét hỗ trợ Dify bằng cách chia sẻ nó trên mạng xã hội và tại các sự kiện và hội nghị.
-
-
-> Chúng tôi đang tìm kiếm người đóng góp để giúp dịch Dify sang các ngôn ngữ khác ngoài tiếng Trung hoặc tiếng Anh. Nếu bạn quan tâm đến việc giúp đỡ, vui lòng xem [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) để biết thêm thông tin và để lại bình luận cho chúng tôi trong kênh `global-users` của [Máy chủ Cộng đồng Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi.
-
-**Người đóng góp**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## Cộng đồng & liên hệ
-
-* [Thảo luận GitHub](https://github.com/langgenius/dify/discussions). Tốt nhất cho: chia sẻ phản hồi và đặt câu hỏi.
-* [Vấn đề GitHub](https://github.com/langgenius/dify/issues). Tốt nhất cho: lỗi bạn gặp phải khi sử dụng Dify.AI và đề xuất tính năng. Xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
-* [Discord](https://discord.gg/FngNHpbcY7). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
-* [X(Twitter)](https://twitter.com/dify_ai). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
-
-## Lịch sử Yêu thích
-
-[![Biểu đồ Lịch sử Yêu thích](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## Tiết lộ bảo mật
-
-Để bảo vệ quyền riêng tư của bạn, vui lòng tránh đăng các vấn đề bảo mật trên GitHub. Thay vào đó, hãy gửi câu hỏi của bạn đến security@dify.ai và chúng tôi sẽ cung cấp cho bạn câu trả lời chi tiết hơn.
-
-## 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.

api/.dockerignore

@@ -8,7 +8,4 @@ logs
 *.log*
 
 # jetbrains
-.idea
-
-# venv
-.venv
+.idea

api/.env.example

@@ -1,3 +1,6 @@
+# Server Edition
+EDITION=SELF_HOSTED
+
 # Your App secret key will be used for securely signing the session cookie
 # Make sure you are changing this key for your deployment with a strong key.
 # You can generate a strong key using `openssl rand -base64 42`.
@@ -17,15 +20,6 @@ APP_WEB_URL=http://127.0.0.1:3000
 # Files URL
 FILES_URL=http://127.0.0.1:5001
 
-# The time in seconds after the signature is rejected
-FILES_ACCESS_TIMEOUT=300
-
-# 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
@@ -59,85 +39,25 @@ 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
-S3_USE_AWS_MANAGED_IAM=false
-S3_ENDPOINT=https://your-bucket-name.storage.s3.cloudflare.com
+# storage type: local, s3, azure-blob
+STORAGE_TYPE=local
+STORAGE_LOCAL_PATH=storage
+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
-ALIYUN_OSS_SECRET_KEY=your-secret-key
-ALIYUN_OSS_ENDPOINT=your-endpoint
-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_SERVICE_ACCOUNT_JSON_BASE64=your-google-service-account-json-base64-string
-
-# Tencent COS Storage configuration
-TENCENT_COS_BUCKET_NAME=your-bucket-name
-TENCENT_COS_SECRET_KEY=your-secret-key
-TENCENT_COS_SECRET_ID=your-secret-id
-TENCENT_COS_REGION=your-region
-TENCENT_COS_SCHEME=your-scheme
-
-# Huawei OBS Storage Configuration
-HUAWEI_OBS_BUCKET_NAME=your-bucket-name
-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
-OCI_ACCESS_KEY=your-access-key
-OCI_SECRET_KEY=your-secret-key
-OCI_REGION=your-region
-
-# Volcengine tos Storage configuration
-VOLCENGINE_TOS_ENDPOINT=your-endpoint
-VOLCENGINE_TOS_BUCKET_NAME=your-bucket-name
-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
 VECTOR_STORE=weaviate
 
 # Weaviate configuration
@@ -150,166 +70,21 @@ WEAVIATE_BATCH_SIZE=100
 QDRANT_URL=http://localhost:6333
 QDRANT_API_KEY=difyai123456
 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=
+MILVUS_HOST=127.0.0.1
+MILVUS_PORT=19530
 MILVUS_USER=root
 MILVUS_PASSWORD=Milvus
-
-# MyScale configuration
-MYSCALE_HOST=127.0.0.1
-MYSCALE_PORT=8123
-MYSCALE_USER=default
-MYSCALE_PASSWORD=
-MYSCALE_DATABASE=default
-MYSCALE_FTS_PARAMS=
-
-# Relyt configuration
-RELYT_HOST=127.0.0.1
-RELYT_PORT=5432
-RELYT_USER=postgres
-RELYT_PASSWORD=postgres
-RELYT_DATABASE=postgres
-
-# Tencent configuration
-TENCENT_VECTOR_DB_URL=http://127.0.0.1
-TENCENT_VECTOR_DB_API_KEY=dify
-TENCENT_VECTOR_DB_TIMEOUT=30
-TENCENT_VECTOR_DB_USERNAME=dify
-TENCENT_VECTOR_DB_DATABASE=dify
-TENCENT_VECTOR_DB_SHARD=1
-TENCENT_VECTOR_DB_REPLICAS=2
-
-# ElasticSearch configuration
-ELASTICSEARCH_HOST=127.0.0.1
-ELASTICSEARCH_PORT=9200
-ELASTICSEARCH_USERNAME=elastic
-ELASTICSEARCH_PASSWORD=elastic
-
-# PGVECTO_RS configuration
-PGVECTO_RS_HOST=localhost
-PGVECTO_RS_PORT=5431
-PGVECTO_RS_USER=postgres
-PGVECTO_RS_PASSWORD=difyai123456
-PGVECTO_RS_DATABASE=postgres
-
-# PGVector configuration
-PGVECTOR_HOST=127.0.0.1
-PGVECTOR_PORT=5433
-PGVECTOR_USER=postgres
-PGVECTOR_PASSWORD=postgres
-PGVECTOR_DATABASE=postgres
-PGVECTOR_MIN_CONNECTION=1
-PGVECTOR_MAX_CONNECTION=5
-
-# Tidb Vector configuration
-TIDB_VECTOR_HOST=xxx.eu-central-1.xxx.aws.tidbcloud.com
-TIDB_VECTOR_PORT=4000
-TIDB_VECTOR_USER=xxx.root
-TIDB_VECTOR_PASSWORD=xxxxxx
-TIDB_VECTOR_DATABASE=dify
-
-# 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
-CHROMA_TENANT=default_tenant
-CHROMA_DATABASE=default_database
-CHROMA_AUTH_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider
-CHROMA_AUTH_CREDENTIALS=difyai123456
-
-# AnalyticDB configuration
-ANALYTICDB_KEY_ID=your-ak
-ANALYTICDB_KEY_SECRET=your-sk
-ANALYTICDB_REGION_ID=cn-hangzhou
-ANALYTICDB_INSTANCE_ID=gp-ab123456
-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
-OPENSEARCH_PORT=9200
-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
-
+MILVUS_SECURE=false
 
 # 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
-PROMPT_GENERATION_MAX_TOKENS=512
-CODE_GENERATION_MAX_TOKENS=1024
+# Model Configuration
+MULTIMODAL_SEND_IMAGE_FORMAT=base64
 
 # Mail configuration, support: resend, smtp
 MAIL_TYPE=
@@ -318,11 +93,10 @@ RESEND_API_KEY=
 RESEND_API_URL=https://api.resend.com
 # smtp configuration
 SMTP_SERVER=smtp.gmail.com
-SMTP_PORT=465
+SMTP_PORT=587
 SMTP_USERNAME=123
 SMTP_PASSWORD=abc
-SMTP_USE_TLS=true
-SMTP_OPPORTUNISTIC_TLS=false
+SMTP_USE_TLS=false
 
 # Sentry configuration
 SENTRY_DSN=
@@ -337,26 +111,34 @@ NOTION_CLIENT_SECRET=you-client-secret
 NOTION_CLIENT_ID=you-client-id
 NOTION_INTERNAL_SECRET=you-internal-secret
 
+# Hosted Model Credentials
+HOSTED_OPENAI_API_KEY=
+HOSTED_OPENAI_API_BASE=
+HOSTED_OPENAI_API_ORGANIZATION=
+HOSTED_OPENAI_TRIAL_ENABLED=false
+HOSTED_OPENAI_QUOTA_LIMIT=200
+HOSTED_OPENAI_PAID_ENABLED=false
+
+HOSTED_AZURE_OPENAI_ENABLED=false
+HOSTED_AZURE_OPENAI_API_KEY=
+HOSTED_AZURE_OPENAI_API_BASE=
+HOSTED_AZURE_OPENAI_QUOTA_LIMIT=200
+
+HOSTED_ANTHROPIC_API_BASE=
+HOSTED_ANTHROPIC_API_KEY=
+HOSTED_ANTHROPIC_TRIAL_ENABLED=false
+HOSTED_ANTHROPIC_QUOTA_LIMIT=600000
+HOSTED_ANTHROPIC_PAID_ENABLED=false
+
 ETL_TYPE=dify
 UNSTRUCTURED_API_URL=
-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
@@ -367,67 +149,3 @@ TEMPLATE_TRANSFORM_MAX_LENGTH=80000
 CODE_MAX_STRING_ARRAY_LENGTH=30
 CODE_MAX_OBJECT_ARRAY_LENGTH=30
 CODE_MAX_NUMBER_ARRAY_LENGTH=1000
-
-# API Tool configuration
-API_TOOL_DEFAULT_CONNECT_TIMEOUT=10
-API_TOOL_DEFAULT_READ_TIMEOUT=60
-
-# HTTP Node configuration
-HTTP_REQUEST_MAX_CONNECT_TIMEOUT=300
-HTTP_REQUEST_MAX_READ_TIMEOUT=600
-HTTP_REQUEST_MAX_WRITE_TIMEOUT=600
-HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760
-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
-
-# 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
-
-# Position configuration
-POSITION_TOOL_PINS=
-POSITION_TOOL_INCLUDES=
-POSITION_TOOL_EXCLUDES=
-
-POSITION_PROVIDER_PINS=
-POSITION_PROVIDER_INCLUDES=
-POSITION_PROVIDER_EXCLUDES=
-
-# 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/.idea/vcs.xml

@@ -1,17 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="IssueNavigationConfiguration">
-    <option name="links">
-      <list>
-        <IssueNavigationLink>
-          <option name="issueRegexp" value="#(\d+)" />
-          <option name="linkRegexp" value="https://github.com/langgenius/dify/issues/$1" />
-        </IssueNavigationLink>
-      </list>
-    </option>
-  </component>
-  <component name="VcsDirectoryMappings">
-    <mapping directory="" vcs="Git" />
-    <mapping directory="$PROJECT_DIR$/.." vcs="Git" />
-  </component>
-</project>

api/.ruff.toml

@@ -1,95 +0,0 @@
-exclude = [
-    "migrations/*",
-]
-line-length = 120
-
-[format]
-quote-style = "double"
-
-[lint]
-preview = true
-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
-    "PLC2801", # unnecessary-dunder-call
-    "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
-    "E731", # lambda-assignment
-    "F821", # undefined-name
-    "F841", # unused-variable
-    "FURB113", # repeated-append
-    "FURB152", # math-constant
-    "UP007", # non-pep604-annotation
-    "UP032", # f-string
-    "B005", # strip-with-multi-characters
-    "B006", # mutable-argument-default
-    "B007", # unused-loop-control-variable
-    "B026", # star-arg-unpacking-after-keyword-arg
-    "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

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

api/.vscode/launch.json.example

@@ -1,61 +0,0 @@
-{
-    "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": "${workspaceFolder}/.venv/bin/python",
-            "cwd": "${workspaceFolder}",
-            "envFile": ".env",
-            "module": "flask",
-            "justMyCode": true,
-            "jinja": true,
-            "env": {
-                "FLASK_APP": "app.py",
-                "GEVENT_SUPPORT": "True"
-            },
-            "args": [
-                "run",
-                "--port=5001"
-            ]
-        },
-        {
-            "name": "Python: Celery",
-            "consoleName": "Celery",
-            "type": "debugpy",
-            "request": "launch",
-            "python": "${workspaceFolder}/.venv/bin/python",
-            "cwd": "${workspaceFolder}",
-            "module": "celery",
-            "justMyCode": true,
-            "envFile": ".env",
-            "console": "integratedTerminal",
-            "env": {
-                "FLASK_APP": "app.py",
-                "FLASK_DEBUG": "1",
-                "GEVENT_SUPPORT": "True"
-            },
-            "args": [
-                "-A",
-                "app.celery",
-                "worker",
-                "-P",
-                "gevent",
-                "-c",
-                "1",
-                "--loglevel",
-                "DEBUG",
-                "-Q",
-                "dataset,generation,mail,ops_trace,app_deletion"
-            ]
-        }
-    ]
-}

api/Dockerfile

@@ -1,83 +1,48 @@
 # base image
-FROM python:3.12-slim-bookworm AS base
+FROM python:3.10-slim-bookworm AS base
 
-WORKDIR /app/api
+LABEL maintainer="takatost@gmail.com"
 
-# Install Poetry
-ENV POETRY_VERSION=1.8.4
-
-# if you located in China, you can use aliyun mirror to speed up
-# RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
-
-RUN pip install --no-cache-dir poetry==${POETRY_VERSION}
-
-# Configure Poetry
-ENV POETRY_CACHE_DIR=/tmp/poetry_cache
-ENV POETRY_NO_INTERACTION=1
-ENV POETRY_VIRTUALENVS_IN_PROJECT=true
-ENV POETRY_VIRTUALENVS_CREATE=true
-ENV POETRY_REQUESTS_TIMEOUT=15
-
-FROM base AS packages
-
-# if you located in China, you can use aliyun mirror to speed up
-# RUN sed -i 's@deb.debian.org@mirrors.aliyun.com@g' /etc/apt/sources.list.d/debian.sources
+# install packages
+FROM base as packages
 
 RUN apt-get update \
     && apt-get install -y --no-install-recommends gcc g++ libc-dev libffi-dev libgmp-dev libmpfr-dev libmpc-dev
 
-# Install Python dependencies
-COPY pyproject.toml poetry.lock ./
-RUN poetry install --sync --no-cache --no-root
+COPY requirements.txt /requirements.txt
+
+RUN pip install --prefix=/pkg -r requirements.txt
 
 # production stage
 FROM base AS production
 
-ENV FLASK_APP=app.py
-ENV EDITION=SELF_HOSTED
-ENV DEPLOY_ENV=PRODUCTION
-ENV CONSOLE_API_URL=http://127.0.0.1:5001
-ENV CONSOLE_WEB_URL=http://127.0.0.1:3000
-ENV SERVICE_API_URL=http://127.0.0.1:5001
-ENV APP_WEB_URL=http://127.0.0.1:3000
+ENV FLASK_APP app.py
+ENV EDITION SELF_HOSTED
+ENV DEPLOY_ENV PRODUCTION
+ENV CONSOLE_API_URL http://127.0.0.1:5001
+ENV CONSOLE_WEB_URL http://127.0.0.1:3000
+ENV SERVICE_API_URL http://127.0.0.1:5001
+ENV APP_WEB_URL http://127.0.0.1:3000
 
 EXPOSE 5001
 
 # set timezone
-ENV TZ=UTC
+ENV TZ UTC
 
 WORKDIR /app/api
 
 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 expat=2.6.4-1 libldap-2.5-0=2.5.19+dfsg-1 perl=5.40.0-8 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
-    # install a chinese font to support the use of tools like matplotlib
-    && apt-get install -y fonts-noto-cjk \
-    && apt-get autoremove -y \
+    && apt-get install -y --no-install-recommends curl wget vim nodejs ffmpeg libgmp-dev libmpfr-dev libmpc-dev \
+    && apt-get autoremove \
     && rm -rf /var/lib/apt/lists/*
 
-# Copy Python environment and packages
-ENV VIRTUAL_ENV=/app/api/.venv
-COPY --from=packages ${VIRTUAL_ENV} ${VIRTUAL_ENV}
-ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
-
-# Download nltk data
-RUN python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')"
-
-# Copy source code
+COPY --from=packages /pkg /usr/local
 COPY . /app/api/
 
-# Copy entrypoint
 COPY docker/entrypoint.sh /entrypoint.sh
 RUN chmod +x /entrypoint.sh
 
-
 ARG COMMIT_SHA
-ENV COMMIT_SHA=${COMMIT_SHA}
+ENV COMMIT_SHA ${COMMIT_SHA}
 
-ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]
+ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]

api/README.md

@@ -2,82 +2,54 @@
 
 ## Usage
 
-> [!IMPORTANT]
-> In the v0.6.12 release, we deprecated `pip` as the package management tool for Dify API Backend service and replaced it with `poetry`.
-
 1. Start the docker-compose stack
 
    The backend require some middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using `docker-compose`.
 
    ```bash
    cd ../docker
-   cp middleware.env.example middleware.env
-   # change the profile to other vector database if you are not using weaviate
-   docker compose -f docker-compose.middleware.yaml --profile weaviate -p dify up -d
+   docker-compose -f docker-compose.middleware.yaml -p dify up -d
    cd ../api
    ```
-
 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
+   ```bash
    sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
    ```
-   bash for Mac
-   ```bash for Mac
-   secret_key=$(openssl rand -base64 42)
-   sed -i '' "/^SECRET_KEY=/c\\
-   SECRET_KEY=${secret_key}" .env
-   ```
-
-4. Create environment.
-
-   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
-
+3.5 If you use annaconda, create a new environment and activate it
    ```bash
-   poetry env use 3.12
-   poetry install
+   conda create --name dify python=3.10
+   conda activate dify
    ```
-
-6. Run migrate
+4. Install dependencies
+   ```bash
+   pip install -r requirements.txt
+   ```
+5. Run migrate
 
    Before the first launch, migrate the database to the latest version.
 
    ```bash
-   poetry run python -m flask db upgrade
+   flask db upgrade
    ```
 
-7. Start backend
+   ⚠️ If you encounter problems with jieba, for example
 
+   ```
+   > flask db upgrade
+   Error: While importing 'app', an ImportError was raised:
+   ```
+
+   Please run the following command instead.
+
+   ```
+   pip install -r requirements.txt --upgrade --force-reinstall
+   ```
+
+6. Start backend:
    ```bash
-   poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug
-   ```
-
-8. Start Dify [web](../web) service.
-9. Setup your application by visiting `http://localhost:3000`...
-10. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
-
-   ```bash
-   poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion
-   ```
-
-## Testing
-
-1. Install dependencies for both the backend and the test environment
-
-   ```bash
-   poetry install -C api --with dev
-   ```
-
-2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
-
-   ```bash
-   poetry run -C api bash dev/pytest/pytest_all_tests.sh
+   flask run --host 0.0.0.0 --port=5001 --debug
    ```
+7. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
+8. If you need to debug local async processing, you can run `celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail`, celery can do dataset importing and other async tasks.

api/app.py

@@ -1,41 +1,254 @@
 import os
-import sys
+
+from werkzeug.exceptions import Unauthorized
+
+if not os.environ.get("DEBUG") or os.environ.get("DEBUG").lower() != 'true':
+    from gevent import monkey
+    monkey.patch_all()
+    # if os.environ.get("VECTOR_STORE") == 'milvus':
+    import grpc.experimental.gevent
+    grpc.experimental.gevent.init_gevent()
+
+    import langchain
+    langchain.verbose = True
+
+import json
+import logging
+import threading
+import time
+import warnings
+
+from flask import Flask, Response, request
+from flask_cors import CORS
+
+from commands import register_commands
+from config import CloudEditionConfig, Config
+from extensions import (
+    ext_celery,
+    ext_code_based_extension,
+    ext_compress,
+    ext_database,
+    ext_hosting_provider,
+    ext_login,
+    ext_mail,
+    ext_migrate,
+    ext_redis,
+    ext_sentry,
+    ext_storage,
+)
+from extensions.ext_database import db
+from extensions.ext_login import login_manager
+from libs.passport import PassportService
+from services.account_service import AccountService
+
+# DO NOT REMOVE BELOW
+from events import event_handlers
+from models import account, dataset, model, source, task, tool, tools, web
+# DO NOT REMOVE ABOVE
 
 
-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_app(test_config=None) -> Flask:
+    app = DifyApp(__name__)
+
+    if test_config:
+        app.config.from_object(test_config)
+    else:
+        if config_type == "CLOUD":
+            app.config.from_object(CloudEditionConfig())
+        else:
+            app.config.from_object(Config())
+
+    app.secret_key = app.config['SECRET_KEY']
+
+    logging.basicConfig(level=app.config.get('LOG_LEVEL', 'INFO'))
+
+    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 == 'console':
+        # 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')
+
+        return AccountService.load_user(user_id)
+    else:
+        return None
+
+
+@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.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)
 
 
 # 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
 
-        # gevent
-        monkey.patch_all()
+if app.config['TESTING']:
+    print("App is running in TESTING mode")
 
-        from grpc.experimental import gevent as grpc_gevent  # type: ignore
 
-        # grpc gevent
-        grpc_gevent.init_gevent()
+@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
 
-        import psycogreen.gevent  # type: ignore
 
-        psycogreen.gevent.patch_psycopg()
+@app.route('/health')
+def health():
+    return Response(json.dumps({
+        'status': 'ok',
+        'version': app.config['CURRENT_VERSION']
+    }), status=200, content_type="application/json")
 
-    from app_factory import create_app
 
-    app = create_app()
-    celery = app.extensions["celery"]
+@app.route('/threads')
+def threads():
+    num_threads = threading.active_count()
+    threads = threading.enumerate()
 
-if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=5001)
+    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 {
+        'thread_num': num_threads,
+        'threads': thread_list
+    }
+
+
+@app.route('/db-pool-stat')
+def pool_stat():
+    engine = db.engine
+    return {
+        'pool_size': engine.pool.size(),
+        'checked_in_connections': engine.pool.checkedin(),
+        'checked_out_connections': engine.pool.checkedout(),
+        'overflow_connections': engine.pool.overflow(),
+        'connection_timeout': engine.pool.timeout(),
+        'recycle_time': db.engine.pool._recycle
+    }
+
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=5001)

api/app_factory.py

@@ -1,101 +0,0 @@
-import logging
-import time
-
-from configs import dify_config
-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())
-
-    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

@@ -1,55 +1,50 @@
 import base64
 import json
-import logging
 import secrets
-from typing import Optional
 
 import click
 from flask import current_app
 from werkzeug.exceptions import NotFound
 
-from configs import dify_config
-from constants.languages import languages
 from core.rag.datasource.vdb.vector_factory import Vector
-from core.rag.datasource.vdb.vector_type import VectorType
 from core.rag.models.document import Document
-from events.app_event import app_was_created
 from extensions.ext_database import db
-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
 
 
-@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.command('reset-password', help='Reset the account 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()
+    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
@@ -62,87 +57,80 @@ 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.command('reset-email', help='Reset the account 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()
+    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(
-    "reset-encrypt-key-pair",
-    help="Reset the asymmetric key pair of workspace for encrypt LLM credentials. "
-    "After the reset, all LLM credentials will become invalid, "
-    "requiring re-entry."
-    "Only support SELF_HOSTED mode.",
-)
-@click.confirmation_option(
-    prompt=click.style(
-        "Are you sure you want to reset encrypt key pair? This operation cannot be rolled back!", fg="red"
-    )
-)
+@click.command('reset-encrypt-key-pair', help='Reset the asymmetric key pair of workspace for encrypt LLM credentials. '
+                                              'After the reset, all LLM credentials will become invalid, '
+                                              'requiring re-entry.'
+                                              'Only support SELF_HOSTED mode.')
+@click.confirmation_option(prompt=click.style('Are you sure you want to reset encrypt key pair?'
+                                              ' this operation cannot be rolled back!', fg='red'))
 def reset_encrypt_key_pair():
     """
     Reset the encrypted key pair of workspace for encrypt LLM credentials.
     After the reset, all LLM credentials will become invalid, requiring re-entry.
     Only support SELF_HOSTED mode.
     """
-    if dify_config.EDITION != "SELF_HOSTED":
-        click.echo(click.style("This command is only for SELF_HOSTED installations.", fg="red"))
+    if current_app.config['EDITION'] != 'SELF_HOSTED':
+        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)
 
-        db.session.query(Provider).filter(Provider.provider_type == "custom", Provider.tenant_id == tenant.id).delete()
+        db.session.query(Provider).filter(Provider.provider_type == 'custom', Provider.tenant_id == tenant.id).delete()
         db.session.query(ProviderModel).filter(ProviderModel.tenant_id == tenant.id).delete()
         db.session.commit()
 
-        click.echo(
-            click.style(
-                "Congratulations! The asymmetric key pair of workspace {} has been reset.".format(tenant.id),
-                fg="green",
-            )
-        )
+        click.echo(click.style('Congratulations! '
+                               'the asymmetric key pair of workspace {} has been reset.'.format(tenant.id), fg='green'))
 
 
-@click.command("vdb-migrate", help="Migrate vector db.")
-@click.option("--scope", default="all", prompt=False, help="The scope of vector database to migrate, Default is All.")
+@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"}:
+    if scope in ['knowledge', 'all']:
         migrate_knowledge_vector_database()
-    if scope in {"annotation", "all"}:
+    if scope in ['annotation', 'all']:
         migrate_annotation_vector_database()
 
 
@@ -150,7 +138,7 @@ 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
@@ -158,215 +146,189 @@ def migrate_annotation_vector_database():
     while True:
         try:
             # get apps info
-            apps = (
-                App.query.filter(App.status == "normal")
-                .order_by(App.created_at.desc())
-                .paginate(page=page, per_page=50)
-            )
+            apps = db.session.query(App).filter(
+                App.status == 'normal'
+            ).order_by(App.created_at.desc()).paginate(page=page, per_page=50)
         except NotFound:
             break
 
         page += 1
         for app in apps:
             total_count = total_count + 1
-            click.echo(
-                f"Processing the {total_count} app {app.id}. " + f"{create_count} created, {skipped_count} skipped."
-            )
+            click.echo(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))
-                app_annotation_setting = (
-                    db.session.query(AppAnnotationSetting).filter(AppAnnotationSetting.app_id == app.id).first()
-                )
+                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 = (
-                    db.session.query(DatasetCollectionBinding)
-                    .filter(DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id)
-                    .first()
-                )
+                dataset_collection_binding = db.session.query(DatasetCollectionBinding).filter(
+                    DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id
+                ).first()
                 if not dataset_collection_binding:
-                    click.echo("App annotation collection binding 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(
                     id=app.id,
                     tenant_id=app.tenant_id,
-                    indexing_technique="high_quality",
+                    indexing_technique='high_quality',
                     embedding_model_provider=dataset_collection_binding.provider_name,
                     embedding_model=dataset_collection_binding.model_name,
-                    collection_binding_id=dataset_collection_binding.id,
+                    collection_binding_id=dataset_collection_binding.id
                 )
                 documents = []
                 if annotations:
                     for annotation in annotations:
                         document = Document(
                             page_content=annotation.question,
-                            metadata={"annotation_id": annotation.id, "app_id": app.id, "doc_id": annotation.id},
+                            metadata={
+                                "annotation_id": annotation.id,
+                                "app_id": app.id,
+                                "doc_id": annotation.id
+                            }
                         )
                         documents.append(document)
 
-                vector = Vector(dataset, attributes=["doc_id", "annotation_id", "app_id"])
-                click.echo(f"Migrating annotations for app: {app.id}.")
+                vector = Vector(dataset, attributes=['doc_id', 'annotation_id', 'app_id'])
+                click.echo(f"Start to migrate annotation, app_id: {app.id}.")
 
                 try:
                     vector.delete()
-                    click.echo(click.style(f"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"))
+                    click.echo(
+                        click.style(f'Failed to delete vector index for app {app.id}.',
+                                    fg='red'))
                     raise e
                 if documents:
                     try:
-                        click.echo(
-                            click.style(
-                                f"Creating vector index with {len(documents)} annotations for app {app.id}.",
-                                fg="green",
-                            )
-                        )
+                        click.echo(click.style(
+                            f'Start to created vector index with {len(documents)} annotations for app {app.id}.',
+                            fg='green'))
                         vector.create(documents)
-                        click.echo(click.style(f"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"))
+                        click.echo(click.style(f'Failed to created vector index for app {app.id}.', fg='red'))
                         raise e
-                click.echo(f"Successfully migrated app annotation {app.id}.")
+                click.echo(f'Successfully migrated app annotation {app.id}.')
                 create_count += 1
             except Exception as e:
                 click.echo(
-                    click.style(
-                        "Error creating app annotation index: {} {}".format(e.__class__.__name__, str(e)), fg="red"
-                    )
-                )
+                    click.style('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.",
-            fg="green",
-        )
-    )
+        click.style(f'Congratulations! Create {create_count} app annotation indexes, and skipped {skipped_count} apps.',
+                    fg='green'))
 
 
 def migrate_knowledge_vector_database():
     """
     Migrate vector database datas to target vector database .
     """
-    click.echo(click.style("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,
-    }
+    config = current_app.config
+    vector_type = config.get('VECTOR_STORE')
     page = 1
     while True:
         try:
-            datasets = (
-                Dataset.query.filter(Dataset.indexing_technique == "high_quality")
-                .order_by(Dataset.created_at.desc())
-                .paginate(page=page, per_page=50)
-            )
+            datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \
+                .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50)
         except NotFound:
             break
 
         page += 1
         for dataset in datasets:
             total_count = total_count + 1
-            click.echo(
-                f"Processing the {total_count} dataset {dataset.id}. {create_count} created, {skipped_count} skipped."
-            )
+            click.echo(f'Processing the {total_count} dataset {dataset.id}. '
+                       + f'{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:
+                    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:
+                collection_name = ''
+                if vector_type == "weaviate":
+                    dataset_id = dataset.id
                     collection_name = Dataset.gen_collection_name_by_id(dataset_id)
-                elif vector_type == VectorType.QDRANT:
+                    index_struct_dict = {
+                        "type": 'weaviate',
+                        "vector_store": {"class_prefix": collection_name}
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == "qdrant":
                     if dataset.collection_binding_id:
-                        dataset_collection_binding = (
-                            db.session.query(DatasetCollectionBinding)
-                            .filter(DatasetCollectionBinding.id == dataset.collection_binding_id)
-                            .one_or_none()
-                        )
+                        dataset_collection_binding = db.session.query(DatasetCollectionBinding). \
+                            filter(DatasetCollectionBinding.id == dataset.collection_binding_id). \
+                            one_or_none()
                         if dataset_collection_binding:
                             collection_name = dataset_collection_binding.collection_name
                         else:
-                            raise ValueError("Dataset Collection 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": '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 == "milvus":
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": 'milvus',
+                        "vector_store": {"class_prefix": collection_name}
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
                 else:
-                    raise ValueError(f"Vector store {vector_type} is not supported.")
+                    raise ValueError(f"Vector store {config.get('VECTOR_STORE')} 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(
-                        click.style(
-                            f"Failed to delete vector index {collection_name} for dataset {dataset.id}.", fg="red"
-                        )
-                    )
+                        click.style(f'Failed to delete vector index {collection_name} for dataset {dataset.id}.',
+                                    fg='red'))
                     raise e
 
-                dataset_documents = (
-                    db.session.query(DatasetDocument)
-                    .filter(
-                        DatasetDocument.dataset_id == dataset.id,
-                        DatasetDocument.indexing_status == "completed",
-                        DatasetDocument.enabled == True,
-                        DatasetDocument.archived == False,
-                    )
-                    .all()
-                )
+                dataset_documents = db.session.query(DatasetDocument).filter(
+                    DatasetDocument.dataset_id == dataset.id,
+                    DatasetDocument.indexing_status == 'completed',
+                    DatasetDocument.enabled == True,
+                    DatasetDocument.archived == False,
+                ).all()
 
                 documents = []
                 segments_count = 0
                 for dataset_document in dataset_documents:
-                    segments = (
-                        db.session.query(DocumentSegment)
-                        .filter(
-                            DocumentSegment.document_id == dataset_document.id,
-                            DocumentSegment.status == "completed",
-                            DocumentSegment.enabled == True,
-                        )
-                        .all()
-                    )
+                    segments = db.session.query(DocumentSegment).filter(
+                        DocumentSegment.document_id == dataset_document.id,
+                        DocumentSegment.status == 'completed',
+                        DocumentSegment.enabled == True
+                    ).all()
 
                     for segment in segments:
                         document = Document(
@@ -376,7 +338,7 @@ def migrate_knowledge_vector_database():
                                 "doc_hash": segment.index_node_hash,
                                 "document_id": segment.document_id,
                                 "dataset_id": segment.dataset_id,
-                            },
+                            }
                         )
 
                         documents.append(document)
@@ -384,42 +346,37 @@ def migrate_knowledge_vector_database():
 
                 if documents:
                     try:
-                        click.echo(
-                            click.style(
-                                f"Creating vector index with {len(documents)} documents of {segments_count}"
-                                f" segments for dataset {dataset.id}.",
-                                fg="green",
-                            )
-                        )
+                        click.echo(click.style(
+                            f'Start to created vector index with {len(documents)} documents of {segments_count} segments for dataset {dataset.id}.',
+                            fg='green'))
                         vector.create(documents)
-                        click.echo(click.style(f"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"))
+                        click.echo(click.style(f'Failed to created vector index for dataset {dataset.id}.', fg='red'))
                         raise e
                 db.session.add(dataset)
                 db.session.commit()
-                click.echo(f"Successfully migrated dataset {dataset.id}.")
+                click.echo(f'Successfully migrated dataset {dataset.id}.')
                 create_count += 1
             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"
-        )
-    )
+        click.style(f'Congratulations! Create {create_count} dataset indexes, and skipped {skipped_count} datasets.',
+                    fg='green'))
 
 
-@click.command("convert-to-agent-apps", help="Convert Agent Assistant to Agent App.")
+@click.command('convert-to-agent-apps', help='Convert Agent Assistant to Agent App.')
 def convert_to_agent_apps():
     """
     Convert Agent Assistant to Agent App.
     """
-    click.echo(click.style("Starting convert to agent apps.", fg="green"))
+    click.echo(click.style('Start convert to agent apps.', fg='green'))
 
     proceeded_app_ids = []
 
@@ -427,14 +384,14 @@ 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
         """
@@ -448,14 +405,13 @@ 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
 
         for app in apps:
-            click.echo("Converting app: {}".format(app.id))
+            click.echo('Converting app: {}'.format(app.id))
 
             try:
                 app.mode = AppMode.AGENT_CHAT.value
@@ -467,185 +423,18 @@ def convert_to_agent_apps():
                 )
 
                 db.session.commit()
-                click.echo(click.style("Converted app: {}".format(app.id), fg="green"))
+                click.echo(click.style('Converted app: {}'.format(app.id), fg='green'))
             except Exception as e:
-                click.echo(click.style("Convert app error: {} {}".format(e.__class__.__name__, str(e)), fg="red"))
+                click.echo(
+                    click.style('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.")
-def add_qdrant_doc_id_index(field: str):
-    click.echo(click.style("Starting Qdrant doc_id index creation.", 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"))
-        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"))
-            return
-        import qdrant_client
-        from qdrant_client.http.exceptions import UnexpectedResponse
-        from qdrant_client.http.models import PayloadSchemaType
-
-        from core.rag.datasource.vdb.qdrant.qdrant_vector import QdrantConfig
-
-        for binding in bindings:
-            if dify_config.QDRANT_URL is None:
-                raise ValueError("Qdrant URL is required.")
-            qdrant_config = QdrantConfig(
-                endpoint=dify_config.QDRANT_URL,
-                api_key=dify_config.QDRANT_API_KEY,
-                root_path=current_app.root_path,
-                timeout=dify_config.QDRANT_CLIENT_TIMEOUT,
-                grpc_port=dify_config.QDRANT_GRPC_PORT,
-                prefer_grpc=dify_config.QDRANT_GRPC_ENABLED,
-            )
-            try:
-                client = qdrant_client.QdrantClient(**qdrant_config.to_qdrant_params())
-                # create payload index
-                client.create_payload_index(binding.collection_name, field, field_schema=PayloadSchemaType.KEYWORD)
-                create_count += 1
-            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"))
-                    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"
-                        )
-                    )
-
-    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.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("--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"))
-        return
-
-    # Create account
-    email = email.strip()
-
-    if "@" not in email:
-        click.echo(click.style("Invalid email address.", fg="red"))
-        return
-
-    account_name = email.split("@")[0]
-
-    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
-
-    # 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,
-    )
-    TenantService.create_owner_tenant_if_not_exist(account, name)
-
-    click.echo(
-        click.style(
-            "Account and tenant created.\nAccount: {}\nPassword: {}".format(email, new_password),
-            fg="green",
-        )
-    )
-
-
-@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"))
-
-            # run db migration
-            import flask_migrate  # type: ignore
-
-            flask_migrate.upgrade()
-
-            click.echo(click.style("Database migration successful!", fg="green"))
-
-        except Exception as e:
-            logging.exception("Failed to execute database migration")
-        finally:
-            lock.release()
-    else:
-        click.echo("Database migration skipped")
-
-
-@click.command("fix-app-site-missing", help="Fix app related site missing issue.")
-def fix_app_site_missing():
-    """
-    Fix app related site missing issue.
-    """
-    click.echo(click.style("Starting fix for missing app-related sites.", fg="green"))
-
-    failed_app_ids = []
-    while True:
-        sql = """select apps.id as id from apps left join sites on sites.app_id=apps.id
-where sites.id is null limit 1000"""
-        with db.engine.begin() as conn:
-            rs = conn.execute(db.text(sql))
-
-            processed_count = 0
-            for i in rs:
-                processed_count += 1
-                app_id = str(i.id)
-
-                if app_id in failed_app_ids:
-                    continue
-
-                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))
-                            continue
-
-                        account = accounts[0]
-                        print("Fixing missing site for app {}".format(app.id))
-                        app_was_created.send(app, account=account)
-                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}")
-                    continue
-
-            if not processed_count:
-                break
-
-    click.echo(click.style("Fix for missing app-related sites completed successfully!", 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)

api/config.py

@@ -0,0 +1,333 @@
+import os
+
+import dotenv
+
+dotenv.load_dotenv()
+
+DEFAULTS = {
+    'DB_USERNAME': 'postgres',
+    'DB_PASSWORD': '',
+    'DB_HOST': 'localhost',
+    'DB_PORT': '5432',
+    'DB_DATABASE': 'dify',
+    'DB_CHARSET': '',
+    'REDIS_HOST': 'localhost',
+    'REDIS_PORT': '6379',
+    'REDIS_DB': '0',
+    'REDIS_USE_SSL': 'False',
+    'OAUTH_REDIRECT_PATH': '/console/api/oauth/authorize',
+    'OAUTH_REDIRECT_INDEX_PATH': '/',
+    'CONSOLE_WEB_URL': 'https://cloud.dify.ai',
+    'CONSOLE_API_URL': 'https://cloud.dify.ai',
+    'SERVICE_API_URL': 'https://api.dify.ai',
+    'APP_WEB_URL': 'https://udify.app',
+    'FILES_URL': '',
+    'S3_ADDRESS_STYLE': 'auto',
+    'STORAGE_TYPE': 'local',
+    'STORAGE_LOCAL_PATH': 'storage',
+    'CHECK_UPDATE_URL': 'https://updates.dify.ai',
+    'DEPLOY_ENV': 'PRODUCTION',
+    'SQLALCHEMY_POOL_SIZE': 30,
+    'SQLALCHEMY_MAX_OVERFLOW': 10,
+    'SQLALCHEMY_POOL_RECYCLE': 3600,
+    'SQLALCHEMY_ECHO': 'False',
+    'SENTRY_TRACES_SAMPLE_RATE': 1.0,
+    'SENTRY_PROFILES_SAMPLE_RATE': 1.0,
+    'WEAVIATE_GRPC_ENABLED': 'True',
+    'WEAVIATE_BATCH_SIZE': 100,
+    'QDRANT_CLIENT_TIMEOUT': 20,
+    'CELERY_BACKEND': 'database',
+    'LOG_LEVEL': 'INFO',
+    'HOSTED_OPENAI_QUOTA_LIMIT': 200,
+    'HOSTED_OPENAI_TRIAL_ENABLED': 'False',
+    'HOSTED_OPENAI_TRIAL_MODELS': 'gpt-3.5-turbo,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-16k,gpt-3.5-turbo-16k-0613,gpt-3.5-turbo-0613,gpt-3.5-turbo-0125,text-davinci-003',
+    'HOSTED_OPENAI_PAID_ENABLED': 'False',
+    'HOSTED_OPENAI_PAID_MODELS': 'gpt-4,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-4-0125-preview,gpt-3.5-turbo,gpt-3.5-turbo-16k,gpt-3.5-turbo-16k-0613,gpt-3.5-turbo-1106,gpt-3.5-turbo-0613,gpt-3.5-turbo-0125,gpt-3.5-turbo-instruct,text-davinci-003',
+    'HOSTED_AZURE_OPENAI_ENABLED': 'False',
+    'HOSTED_AZURE_OPENAI_QUOTA_LIMIT': 200,
+    'HOSTED_ANTHROPIC_QUOTA_LIMIT': 600000,
+    'HOSTED_ANTHROPIC_TRIAL_ENABLED': 'False',
+    'HOSTED_ANTHROPIC_PAID_ENABLED': 'False',
+    'HOSTED_MODERATION_ENABLED': 'False',
+    'HOSTED_MODERATION_PROVIDERS': '',
+    'HOSTED_FETCH_APP_TEMPLATES_MODE': 'remote',
+    'HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN': 'https://tmpl.dify.ai',
+    'CLEAN_DAY_SETTING': 30,
+    'UPLOAD_FILE_SIZE_LIMIT': 15,
+    'UPLOAD_FILE_BATCH_LIMIT': 5,
+    'UPLOAD_IMAGE_FILE_SIZE_LIMIT': 10,
+    'OUTPUT_MODERATION_BUFFER_SIZE': 300,
+    'MULTIMODAL_SEND_IMAGE_FORMAT': 'base64',
+    'INVITE_EXPIRY_HOURS': 72,
+    'BILLING_ENABLED': 'False',
+    'CAN_REPLACE_LOGO': 'False',
+    'ETL_TYPE': 'dify',
+    'KEYWORD_STORE': 'jieba',
+    'BATCH_UPLOAD_LIMIT': 20,
+    'CODE_EXECUTION_ENDPOINT': '',
+    'CODE_EXECUTION_API_KEY': '',
+    'TOOL_ICON_CACHE_MAX_AGE': 3600,
+    'KEYWORD_DATA_SOURCE_TYPE': 'database',
+}
+
+
+def get_env(key):
+    return os.environ.get(key, DEFAULTS.get(key))
+
+
+def get_bool_env(key):
+    value = get_env(key)
+    return value.lower() == 'true' if value is not None else False
+
+
+def get_cors_allow_origins(env, default):
+    cors_allow_origins = []
+    if get_env(env):
+        for origin in get_env(env).split(','):
+            cors_allow_origins.append(origin)
+    else:
+        cors_allow_origins = [default]
+
+    return cors_allow_origins
+
+
+class Config:
+    """Application configuration class."""
+
+    def __init__(self):
+        # ------------------------
+        # General Configurations.
+        # ------------------------
+        self.CURRENT_VERSION = "0.6.0-preview-workflow.2"
+        self.COMMIT_SHA = get_env('COMMIT_SHA')
+        self.EDITION = "SELF_HOSTED"
+        self.DEPLOY_ENV = get_env('DEPLOY_ENV')
+        self.TESTING = False
+        self.LOG_LEVEL = get_env('LOG_LEVEL')
+
+        # The backend URL prefix of the console API.
+        # used to concatenate the login authorization callback or notion integration callback.
+        self.CONSOLE_API_URL = get_env('CONSOLE_API_URL')
+
+        # The front-end URL prefix of the console web.
+        # used to concatenate some front-end addresses and for CORS configuration use.
+        self.CONSOLE_WEB_URL = get_env('CONSOLE_WEB_URL')
+
+        # WebApp Url prefix.
+        # used to display WebAPP API Base Url to the front-end.
+        self.APP_WEB_URL = get_env('APP_WEB_URL')
+
+        # Service API Url prefix.
+        # used to display Service API Base Url to the front-end.
+        self.SERVICE_API_URL = get_env('SERVICE_API_URL')
+
+        # File preview or download Url prefix.
+        # used to display File preview or download Url to the front-end or as Multi-model inputs;
+        # Url is signed and has expiration time.
+        self.FILES_URL = get_env('FILES_URL') if get_env('FILES_URL') else self.CONSOLE_API_URL
+
+        # Your App secret key will be used for securely signing the session cookie
+        # Make sure you are changing this key for your deployment with a strong key.
+        # You can generate a strong key using `openssl rand -base64 42`.
+        # Alternatively you can set it with `SECRET_KEY` environment variable.
+        self.SECRET_KEY = get_env('SECRET_KEY')
+
+        # cors settings
+        self.CONSOLE_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
+            'CONSOLE_CORS_ALLOW_ORIGINS', self.CONSOLE_WEB_URL)
+        self.WEB_API_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
+            'WEB_API_CORS_ALLOW_ORIGINS', '*')
+
+        # check update url
+        self.CHECK_UPDATE_URL = get_env('CHECK_UPDATE_URL')
+
+        # ------------------------
+        # Database Configurations.
+        # ------------------------
+        db_credentials = {
+            key: get_env(key) for key in
+            ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE', 'DB_CHARSET']
+        }
+
+        db_extras = f"?client_encoding={db_credentials['DB_CHARSET']}" if db_credentials['DB_CHARSET'] else ""
+
+        self.SQLALCHEMY_DATABASE_URI = f"postgresql://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}{db_extras}"
+        self.SQLALCHEMY_ENGINE_OPTIONS = {
+            'pool_size': int(get_env('SQLALCHEMY_POOL_SIZE')),
+            'max_overflow': int(get_env('SQLALCHEMY_MAX_OVERFLOW')),
+            'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE'))
+        }
+
+        self.SQLALCHEMY_ECHO = get_bool_env('SQLALCHEMY_ECHO')
+
+        # ------------------------
+        # Redis Configurations.
+        # ------------------------
+        self.REDIS_HOST = get_env('REDIS_HOST')
+        self.REDIS_PORT = get_env('REDIS_PORT')
+        self.REDIS_USERNAME = get_env('REDIS_USERNAME')
+        self.REDIS_PASSWORD = get_env('REDIS_PASSWORD')
+        self.REDIS_DB = get_env('REDIS_DB')
+        self.REDIS_USE_SSL = get_bool_env('REDIS_USE_SSL')
+
+        # ------------------------
+        # Celery worker Configurations.
+        # ------------------------
+        self.CELERY_BROKER_URL = get_env('CELERY_BROKER_URL')
+        self.CELERY_BACKEND = get_env('CELERY_BACKEND')
+        self.CELERY_RESULT_BACKEND = 'db+{}'.format(self.SQLALCHEMY_DATABASE_URI) \
+            if self.CELERY_BACKEND == 'database' else self.CELERY_BROKER_URL
+        self.BROKER_USE_SSL = self.CELERY_BROKER_URL.startswith('rediss://')
+
+        # ------------------------
+        # File Storage Configurations.
+        # ------------------------
+        self.STORAGE_TYPE = get_env('STORAGE_TYPE')
+        self.STORAGE_LOCAL_PATH = get_env('STORAGE_LOCAL_PATH')
+        self.S3_ENDPOINT = get_env('S3_ENDPOINT')
+        self.S3_BUCKET_NAME = get_env('S3_BUCKET_NAME')
+        self.S3_ACCESS_KEY = get_env('S3_ACCESS_KEY')
+        self.S3_SECRET_KEY = get_env('S3_SECRET_KEY')
+        self.S3_REGION = get_env('S3_REGION')
+        self.S3_ADDRESS_STYLE = get_env('S3_ADDRESS_STYLE')
+        self.AZURE_BLOB_ACCOUNT_NAME = get_env('AZURE_BLOB_ACCOUNT_NAME')
+        self.AZURE_BLOB_ACCOUNT_KEY = get_env('AZURE_BLOB_ACCOUNT_KEY')
+        self.AZURE_BLOB_CONTAINER_NAME = get_env('AZURE_BLOB_CONTAINER_NAME')
+        self.AZURE_BLOB_ACCOUNT_URL = get_env('AZURE_BLOB_ACCOUNT_URL')
+
+        # ------------------------
+        # Vector Store Configurations.
+        # Currently, only support: qdrant, milvus, zilliz, weaviate
+        # ------------------------
+        self.VECTOR_STORE = get_env('VECTOR_STORE')
+        self.KEYWORD_STORE = get_env('KEYWORD_STORE')
+        # qdrant settings
+        self.QDRANT_URL = get_env('QDRANT_URL')
+        self.QDRANT_API_KEY = get_env('QDRANT_API_KEY')
+        self.QDRANT_CLIENT_TIMEOUT = get_env('QDRANT_CLIENT_TIMEOUT')
+
+        # milvus / zilliz setting
+        self.MILVUS_HOST = get_env('MILVUS_HOST')
+        self.MILVUS_PORT = get_env('MILVUS_PORT')
+        self.MILVUS_USER = get_env('MILVUS_USER')
+        self.MILVUS_PASSWORD = get_env('MILVUS_PASSWORD')
+        self.MILVUS_SECURE = get_env('MILVUS_SECURE')
+
+        # weaviate settings
+        self.WEAVIATE_ENDPOINT = get_env('WEAVIATE_ENDPOINT')
+        self.WEAVIATE_API_KEY = get_env('WEAVIATE_API_KEY')
+        self.WEAVIATE_GRPC_ENABLED = get_bool_env('WEAVIATE_GRPC_ENABLED')
+        self.WEAVIATE_BATCH_SIZE = int(get_env('WEAVIATE_BATCH_SIZE'))
+
+        # ------------------------
+        # Mail Configurations.
+        # ------------------------
+        self.MAIL_TYPE = get_env('MAIL_TYPE')
+        self.MAIL_DEFAULT_SEND_FROM = get_env('MAIL_DEFAULT_SEND_FROM')
+        self.RESEND_API_KEY = get_env('RESEND_API_KEY')
+        self.RESEND_API_URL = get_env('RESEND_API_URL')
+        # SMTP settings
+        self.SMTP_SERVER = get_env('SMTP_SERVER')
+        self.SMTP_PORT = get_env('SMTP_PORT')
+        self.SMTP_USERNAME = get_env('SMTP_USERNAME')
+        self.SMTP_PASSWORD = get_env('SMTP_PASSWORD')
+        self.SMTP_USE_TLS = get_bool_env('SMTP_USE_TLS')
+        
+        # ------------------------
+        # Workpace Configurations.
+        # ------------------------
+        self.INVITE_EXPIRY_HOURS = int(get_env('INVITE_EXPIRY_HOURS'))
+
+        # ------------------------
+        # Sentry Configurations.
+        # ------------------------
+        self.SENTRY_DSN = get_env('SENTRY_DSN')
+        self.SENTRY_TRACES_SAMPLE_RATE = float(get_env('SENTRY_TRACES_SAMPLE_RATE'))
+        self.SENTRY_PROFILES_SAMPLE_RATE = float(get_env('SENTRY_PROFILES_SAMPLE_RATE'))
+
+        # ------------------------
+        # Business Configurations.
+        # ------------------------
+
+        # multi model send image format, support base64, url, default is base64
+        self.MULTIMODAL_SEND_IMAGE_FORMAT = get_env('MULTIMODAL_SEND_IMAGE_FORMAT')
+
+        # Dataset Configurations.
+        self.CLEAN_DAY_SETTING = get_env('CLEAN_DAY_SETTING')
+
+        # File upload Configurations.
+        self.UPLOAD_FILE_SIZE_LIMIT = int(get_env('UPLOAD_FILE_SIZE_LIMIT'))
+        self.UPLOAD_FILE_BATCH_LIMIT = int(get_env('UPLOAD_FILE_BATCH_LIMIT'))
+        self.UPLOAD_IMAGE_FILE_SIZE_LIMIT = int(get_env('UPLOAD_IMAGE_FILE_SIZE_LIMIT'))
+
+        # Moderation in app Configurations.
+        self.OUTPUT_MODERATION_BUFFER_SIZE = int(get_env('OUTPUT_MODERATION_BUFFER_SIZE'))
+
+        # Notion integration setting
+        self.NOTION_CLIENT_ID = get_env('NOTION_CLIENT_ID')
+        self.NOTION_CLIENT_SECRET = get_env('NOTION_CLIENT_SECRET')
+        self.NOTION_INTEGRATION_TYPE = get_env('NOTION_INTEGRATION_TYPE')
+        self.NOTION_INTERNAL_SECRET = get_env('NOTION_INTERNAL_SECRET')
+        self.NOTION_INTEGRATION_TOKEN = get_env('NOTION_INTEGRATION_TOKEN')
+
+        # ------------------------
+        # Platform Configurations.
+        # ------------------------
+        self.HOSTED_OPENAI_API_KEY = get_env('HOSTED_OPENAI_API_KEY')
+        self.HOSTED_OPENAI_API_BASE = get_env('HOSTED_OPENAI_API_BASE')
+        self.HOSTED_OPENAI_API_ORGANIZATION = get_env('HOSTED_OPENAI_API_ORGANIZATION')
+        self.HOSTED_OPENAI_TRIAL_ENABLED = get_bool_env('HOSTED_OPENAI_TRIAL_ENABLED')
+        self.HOSTED_OPENAI_TRIAL_MODELS = get_env('HOSTED_OPENAI_TRIAL_MODELS')
+        self.HOSTED_OPENAI_QUOTA_LIMIT = int(get_env('HOSTED_OPENAI_QUOTA_LIMIT'))
+        self.HOSTED_OPENAI_PAID_ENABLED = get_bool_env('HOSTED_OPENAI_PAID_ENABLED')
+        self.HOSTED_OPENAI_PAID_MODELS = get_env('HOSTED_OPENAI_PAID_MODELS')
+
+        self.HOSTED_AZURE_OPENAI_ENABLED = get_bool_env('HOSTED_AZURE_OPENAI_ENABLED')
+        self.HOSTED_AZURE_OPENAI_API_KEY = get_env('HOSTED_AZURE_OPENAI_API_KEY')
+        self.HOSTED_AZURE_OPENAI_API_BASE = get_env('HOSTED_AZURE_OPENAI_API_BASE')
+        self.HOSTED_AZURE_OPENAI_QUOTA_LIMIT = int(get_env('HOSTED_AZURE_OPENAI_QUOTA_LIMIT'))
+
+        self.HOSTED_ANTHROPIC_API_BASE = get_env('HOSTED_ANTHROPIC_API_BASE')
+        self.HOSTED_ANTHROPIC_API_KEY = get_env('HOSTED_ANTHROPIC_API_KEY')
+        self.HOSTED_ANTHROPIC_TRIAL_ENABLED = get_bool_env('HOSTED_ANTHROPIC_TRIAL_ENABLED')
+        self.HOSTED_ANTHROPIC_QUOTA_LIMIT = int(get_env('HOSTED_ANTHROPIC_QUOTA_LIMIT'))
+        self.HOSTED_ANTHROPIC_PAID_ENABLED = get_bool_env('HOSTED_ANTHROPIC_PAID_ENABLED')
+
+        self.HOSTED_MINIMAX_ENABLED = get_bool_env('HOSTED_MINIMAX_ENABLED')
+        self.HOSTED_SPARK_ENABLED = get_bool_env('HOSTED_SPARK_ENABLED')
+        self.HOSTED_ZHIPUAI_ENABLED = get_bool_env('HOSTED_ZHIPUAI_ENABLED')
+
+        self.HOSTED_MODERATION_ENABLED = get_bool_env('HOSTED_MODERATION_ENABLED')
+        self.HOSTED_MODERATION_PROVIDERS = get_env('HOSTED_MODERATION_PROVIDERS')
+
+        # fetch app templates mode, remote, builtin, db(only for dify SaaS), default: remote
+        self.HOSTED_FETCH_APP_TEMPLATES_MODE = get_env('HOSTED_FETCH_APP_TEMPLATES_MODE')
+        self.HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN = get_env('HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN')
+
+        self.ETL_TYPE = get_env('ETL_TYPE')
+        self.UNSTRUCTURED_API_URL = get_env('UNSTRUCTURED_API_URL')
+        self.BILLING_ENABLED = get_bool_env('BILLING_ENABLED')
+        self.CAN_REPLACE_LOGO = get_bool_env('CAN_REPLACE_LOGO')
+
+        self.BATCH_UPLOAD_LIMIT = get_env('BATCH_UPLOAD_LIMIT')
+
+        self.CODE_EXECUTION_ENDPOINT = get_env('CODE_EXECUTION_ENDPOINT')
+        self.CODE_EXECUTION_API_KEY = get_env('CODE_EXECUTION_API_KEY')
+
+        self.API_COMPRESSION_ENABLED = get_bool_env('API_COMPRESSION_ENABLED')
+        self.TOOL_ICON_CACHE_MAX_AGE = get_env('TOOL_ICON_CACHE_MAX_AGE')
+
+        self.KEYWORD_DATA_SOURCE_TYPE = get_env('KEYWORD_DATA_SOURCE_TYPE')
+
+class CloudEditionConfig(Config):
+
+    def __init__(self):
+        super().__init__()
+
+        self.EDITION = "CLOUD"
+
+        self.GITHUB_CLIENT_ID = get_env('GITHUB_CLIENT_ID')
+        self.GITHUB_CLIENT_SECRET = get_env('GITHUB_CLIENT_SECRET')
+        self.GOOGLE_CLIENT_ID = get_env('GOOGLE_CLIENT_ID')
+        self.GOOGLE_CLIENT_SECRET = get_env('GOOGLE_CLIENT_SECRET')
+        self.OAUTH_REDIRECT_PATH = get_env('OAUTH_REDIRECT_PATH')

api/configs/__init__.py

@@ -1,3 +0,0 @@
-from .app_config import DifyConfig
-
-dify_config = DifyConfig()

api/configs/app_config.py

@@ -1,96 +0,0 @@
-import logging
-from typing import Any
-
-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
-
-
-class DifyConfig(
-    # Packaging info
-    PackagingInfo,
-    # Deployment configs
-    DeploymentConfig,
-    # Feature configs
-    FeatureConfig,
-    # Middleware configs
-    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,
-):
-    model_config = SettingsConfigDict(
-        # read from dotenv format config file
-        env_file=".env",
-        env_file_encoding="utf-8",
-        # ignore extra attributes
-        extra="ignore",
-    )
-
-    # Before adding any config,
-    # 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

@@ -1,28 +0,0 @@
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class DeploymentConfig(BaseSettings):
-    """
-    Configuration settings for application deployment
-    """
-
-    APPLICATION_NAME: str = Field(
-        description="Name of the application, used for identification and logging purposes",
-        default="langgenius/dify",
-    )
-
-    DEBUG: bool = Field(
-        description="Enable debug mode for additional logging and development features",
-        default=False,
-    )
-
-    EDITION: str = Field(
-        description="Deployment edition of the application (e.g., 'SELF_HOSTED', 'CLOUD')",
-        default="SELF_HOSTED",
-    )
-
-    DEPLOY_ENV: str = Field(
-        description="Deployment environment (e.g., 'PRODUCTION', 'DEVELOPMENT'), default to PRODUCTION",
-        default="PRODUCTION",
-    )

api/configs/enterprise/__init__.py

@@ -1,20 +0,0 @@
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class EnterpriseFeatureConfig(BaseSettings):
-    """
-    Configuration for enterprise-level features.
-    **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."
-        "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.",
-        default=False,
-    )

api/configs/extra/__init__.py

@@ -1,10 +0,0 @@
-from configs.extra.notion_config import NotionConfig
-from configs.extra.sentry_config import SentryConfig
-
-
-class ExtraServiceConfig(
-    # place the configs in alphabet order
-    NotionConfig,
-    SentryConfig,
-):
-    pass

api/configs/extra/notion_config.py

@@ -1,36 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class NotionConfig(BaseSettings):
-    """
-    Configuration settings for Notion integration
-    """
-
-    NOTION_CLIENT_ID: Optional[str] = Field(
-        description="Client ID for Notion API authentication. Required for OAuth 2.0 flow.",
-        default=None,
-    )
-
-    NOTION_CLIENT_SECRET: Optional[str] = Field(
-        description="Client secret for Notion API authentication. Required for OAuth 2.0 flow.",
-        default=None,
-    )
-
-    NOTION_INTEGRATION_TYPE: Optional[str] = Field(
-        description="Type of Notion integration."
-        " Set to 'internal' for internal integrations, or None for public integrations.",
-        default=None,
-    )
-
-    NOTION_INTERNAL_SECRET: Optional[str] = Field(
-        description="Secret key for internal Notion integrations. Required when NOTION_INTEGRATION_TYPE is 'internal'.",
-        default=None,
-    )
-
-    NOTION_INTEGRATION_TOKEN: Optional[str] = Field(
-        description="Integration token for Notion API access. Used for direct API calls without OAuth flow.",
-        default=None,
-    )

api/configs/extra/sentry_config.py

@@ -1,28 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, NonNegativeFloat
-from pydantic_settings import BaseSettings
-
-
-class SentryConfig(BaseSettings):
-    """
-    Configuration settings for Sentry error tracking and performance monitoring
-    """
-
-    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.",
-        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.",
-        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.",
-        default=1.0,
-    )

api/configs/feature/__init__.py

@@ -1,817 +0,0 @@
-from typing import Annotated, Literal, Optional
-
-from pydantic import (
-    AliasChoices,
-    Field,
-    HttpUrl,
-    NegativeInt,
-    NonNegativeInt,
-    PositiveFloat,
-    PositiveInt,
-    computed_field,
-)
-from pydantic_settings import BaseSettings
-
-from configs.feature.hosted_service import HostedServiceConfig
-
-
-class SecurityConfig(BaseSettings):
-    """
-    Security-related configurations for the application
-    """
-
-    SECRET_KEY: str = Field(
-        description="Secret key for secure session cookie signing."
-        "Make sure you are changing this key for your deployment with a strong key."
-        "Generate a strong key using `openssl rand -base64 42` or set via the `SECRET_KEY` environment variable.",
-        default="",
-    )
-
-    RESET_PASSWORD_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
-        description="Duration in minutes for which a password reset token remains valid",
-        default=5,
-    )
-
-    LOGIN_DISABLED: bool = Field(
-        description="Whether to disable login checks",
-        default=False,
-    )
-
-    ADMIN_API_KEY_ENABLE: bool = Field(
-        description="Whether to enable admin api key for authentication",
-        default=False,
-    )
-
-    ADMIN_API_KEY: Optional[str] = Field(
-        description="admin api key for authentication",
-        default=None,
-    )
-
-
-class AppExecutionConfig(BaseSettings):
-    """
-    Configuration parameters for application execution
-    """
-
-    APP_MAX_EXECUTION_TIME: PositiveInt = Field(
-        description="Maximum allowed execution time for the application in seconds",
-        default=1200,
-    )
-    APP_MAX_ACTIVE_REQUESTS: NonNegativeInt = Field(
-        description="Maximum number of concurrent active requests per app (0 for unlimited)",
-        default=0,
-    )
-
-
-class CodeExecutionSandboxConfig(BaseSettings):
-    """
-    Configuration for the code execution sandbox environment
-    """
-
-    CODE_EXECUTION_ENDPOINT: HttpUrl = Field(
-        description="URL endpoint for the code execution service",
-        default="http://sandbox:8194",
-    )
-
-    CODE_EXECUTION_API_KEY: str = Field(
-        description="API key for accessing the code execution service",
-        default="dify-sandbox",
-    )
-
-    CODE_EXECUTION_CONNECT_TIMEOUT: Optional[float] = Field(
-        description="Connection timeout in seconds for code execution requests",
-        default=10.0,
-    )
-
-    CODE_EXECUTION_READ_TIMEOUT: Optional[float] = Field(
-        description="Read timeout in seconds for code execution requests",
-        default=60.0,
-    )
-
-    CODE_EXECUTION_WRITE_TIMEOUT: Optional[float] = Field(
-        description="Write timeout in seconds for code execution request",
-        default=10.0,
-    )
-
-    CODE_MAX_NUMBER: PositiveInt = Field(
-        description="Maximum allowed numeric value in code execution",
-        default=9223372036854775807,
-    )
-
-    CODE_MIN_NUMBER: NegativeInt = Field(
-        description="Minimum allowed numeric value in code execution",
-        default=-9223372036854775807,
-    )
-
-    CODE_MAX_DEPTH: PositiveInt = Field(
-        description="Maximum allowed depth for nested structures in code execution",
-        default=5,
-    )
-
-    CODE_MAX_PRECISION: PositiveInt = Field(
-        description="Maximum number of decimal places for floating-point numbers in code execution",
-        default=20,
-    )
-
-    CODE_MAX_STRING_LENGTH: PositiveInt = Field(
-        description="Maximum allowed length for strings in code execution",
-        default=80000,
-    )
-
-    CODE_MAX_STRING_ARRAY_LENGTH: PositiveInt = Field(
-        description="Maximum allowed length for string arrays in code execution",
-        default=30,
-    )
-
-    CODE_MAX_OBJECT_ARRAY_LENGTH: PositiveInt = Field(
-        description="Maximum allowed length for object arrays in code execution",
-        default=30,
-    )
-
-    CODE_MAX_NUMBER_ARRAY_LENGTH: PositiveInt = Field(
-        description="Maximum allowed length for numeric arrays in code execution",
-        default=1000,
-    )
-
-
-class EndpointConfig(BaseSettings):
-    """
-    Configuration for various application endpoints and URLs
-    """
-
-    CONSOLE_API_URL: str = Field(
-        description="Base URL for the console API,"
-        "used for login authentication callback or notion integration callbacks",
-        default="",
-    )
-
-    CONSOLE_WEB_URL: str = Field(
-        description="Base URL for the console web interface," "used for frontend references and CORS configuration",
-        default="",
-    )
-
-    SERVICE_API_URL: str = Field(
-        description="Base URL for the service API, displayed to users for API access",
-        default="",
-    )
-
-    APP_WEB_URL: str = Field(
-        description="Base URL for the web application, used for frontend references",
-        default="",
-    )
-
-
-class FileAccessConfig(BaseSettings):
-    """
-    Configuration for file access and handling
-    """
-
-    FILES_URL: str = Field(
-        description="Base URL for file preview or download,"
-        " used for frontend display and multi-model inputs"
-        "Url is signed and has expiration time.",
-        validation_alias=AliasChoices("FILES_URL", "CONSOLE_API_URL"),
-        alias_priority=1,
-        default="",
-    )
-
-    FILES_ACCESS_TIMEOUT: int = Field(
-        description="Expiration time in seconds for file access URLs",
-        default=300,
-    )
-
-
-class FileUploadConfig(BaseSettings):
-    """
-    Configuration for file upload limitations
-    """
-
-    UPLOAD_FILE_SIZE_LIMIT: NonNegativeInt = Field(
-        description="Maximum allowed file size for uploads in megabytes",
-        default=15,
-    )
-
-    UPLOAD_FILE_BATCH_LIMIT: NonNegativeInt = Field(
-        description="Maximum number of files allowed in a single upload batch",
-        default=5,
-    )
-
-    UPLOAD_IMAGE_FILE_SIZE_LIMIT: NonNegativeInt = Field(
-        description="Maximum allowed image file size for uploads in megabytes",
-        default=10,
-    )
-
-    UPLOAD_VIDEO_FILE_SIZE_LIMIT: NonNegativeInt = Field(
-        description="video file size limit in Megabytes for uploading files",
-        default=100,
-    )
-
-    UPLOAD_AUDIO_FILE_SIZE_LIMIT: NonNegativeInt = Field(
-        description="audio file size limit in Megabytes for uploading files",
-        default=50,
-    )
-
-    BATCH_UPLOAD_LIMIT: NonNegativeInt = Field(
-        description="Maximum number of files allowed in a batch upload operation",
-        default=20,
-    )
-
-    WORKFLOW_FILE_UPLOAD_LIMIT: PositiveInt = Field(
-        description="Maximum number of files allowed in a workflow upload operation",
-        default=10,
-    )
-
-
-class HttpConfig(BaseSettings):
-    """
-    HTTP-related configurations for the application
-    """
-
-    API_COMPRESSION_ENABLED: bool = Field(
-        description="Enable or disable gzip compression for HTTP responses",
-        default=False,
-    )
-
-    inner_CONSOLE_CORS_ALLOW_ORIGINS: str = Field(
-        description="Comma-separated list of allowed origins for CORS in the console",
-        validation_alias=AliasChoices("CONSOLE_CORS_ALLOW_ORIGINS", "CONSOLE_WEB_URL"),
-        default="",
-    )
-
-    @computed_field
-    def CONSOLE_CORS_ALLOW_ORIGINS(self) -> list[str]:
-        return self.inner_CONSOLE_CORS_ALLOW_ORIGINS.split(",")
-
-    inner_WEB_API_CORS_ALLOW_ORIGINS: str = Field(
-        description="",
-        validation_alias=AliasChoices("WEB_API_CORS_ALLOW_ORIGINS"),
-        default="*",
-    )
-
-    @computed_field
-    def WEB_API_CORS_ALLOW_ORIGINS(self) -> list[str]:
-        return self.inner_WEB_API_CORS_ALLOW_ORIGINS.split(",")
-
-    HTTP_REQUEST_MAX_CONNECT_TIMEOUT: Annotated[
-        PositiveInt, Field(ge=10, description="Maximum connection timeout in seconds for HTTP requests")
-    ] = 10
-
-    HTTP_REQUEST_MAX_READ_TIMEOUT: Annotated[
-        PositiveInt, Field(ge=60, description="Maximum read timeout in seconds for HTTP requests")
-    ] = 60
-
-    HTTP_REQUEST_MAX_WRITE_TIMEOUT: Annotated[
-        PositiveInt, Field(ge=10, description="Maximum write timeout in seconds for HTTP requests")
-    ] = 20
-
-    HTTP_REQUEST_NODE_MAX_BINARY_SIZE: PositiveInt = Field(
-        description="Maximum allowed size in bytes for binary data in HTTP requests",
-        default=10 * 1024 * 1024,
-    )
-
-    HTTP_REQUEST_NODE_MAX_TEXT_SIZE: PositiveInt = Field(
-        description="Maximum allowed size in bytes for text data in HTTP requests",
-        default=1 * 1024 * 1024,
-    )
-
-    SSRF_DEFAULT_MAX_RETRIES: PositiveInt = Field(
-        description="Maximum number of retries for network requests (SSRF)",
-        default=3,
-    )
-
-    SSRF_PROXY_ALL_URL: Optional[str] = Field(
-        description="Proxy URL for HTTP or HTTPS requests to prevent Server-Side Request Forgery (SSRF)",
-        default=None,
-    )
-
-    SSRF_PROXY_HTTP_URL: Optional[str] = Field(
-        description="Proxy URL for HTTP requests to prevent Server-Side Request Forgery (SSRF)",
-        default=None,
-    )
-
-    SSRF_PROXY_HTTPS_URL: Optional[str] = Field(
-        description="Proxy URL for HTTPS requests to prevent Server-Side Request Forgery (SSRF)",
-        default=None,
-    )
-
-    SSRF_DEFAULT_TIME_OUT: PositiveFloat = Field(
-        description="The default timeout period used for network requests (SSRF)",
-        default=5,
-    )
-
-    SSRF_DEFAULT_CONNECT_TIME_OUT: PositiveFloat = Field(
-        description="The default connect timeout period used for network requests (SSRF)",
-        default=5,
-    )
-
-    SSRF_DEFAULT_READ_TIME_OUT: PositiveFloat = Field(
-        description="The default read timeout period used for network requests (SSRF)",
-        default=5,
-    )
-
-    SSRF_DEFAULT_WRITE_TIME_OUT: PositiveFloat = Field(
-        description="The default write timeout period used for network requests (SSRF)",
-        default=5,
-    )
-
-    RESPECT_XFORWARD_HEADERS_ENABLED: bool = Field(
-        description="Enable or disable the X-Forwarded-For Proxy Fix middleware from Werkzeug"
-        " to respect X-* headers to redirect clients",
-        default=False,
-    )
-
-
-class InnerAPIConfig(BaseSettings):
-    """
-    Configuration for internal API functionality
-    """
-
-    INNER_API: bool = Field(
-        description="Enable or disable the internal API",
-        default=False,
-    )
-
-    INNER_API_KEY: Optional[str] = Field(
-        description="API key for accessing the internal API",
-        default=None,
-    )
-
-
-class LoggingConfig(BaseSettings):
-    """
-    Configuration for application logging
-    """
-
-    LOG_LEVEL: str = Field(
-        description="Logging level, default to INFO. Set to ERROR for production environments.",
-        default="INFO",
-    )
-
-    LOG_FILE: Optional[str] = Field(
-        description="File path for log output.",
-        default=None,
-    )
-
-    LOG_FILE_MAX_SIZE: PositiveInt = Field(
-        description="Maximum file size for file rotation retention, the unit is megabytes (MB)",
-        default=20,
-    )
-
-    LOG_FILE_BACKUP_COUNT: PositiveInt = Field(
-        description="Maximum file backup count file rotation retention",
-        default=5,
-    )
-
-    LOG_FORMAT: str = Field(
-        description="Format string for log messages",
-        default="%(asctime)s.%(msecs)03d %(levelname)s [%(threadName)s] [%(filename)s:%(lineno)d] - %(message)s",
-    )
-
-    LOG_DATEFORMAT: Optional[str] = Field(
-        description="Date format string for log timestamps",
-        default=None,
-    )
-
-    LOG_TZ: Optional[str] = Field(
-        description="Timezone for log timestamps (e.g., 'America/New_York')",
-        default="UTC",
-    )
-
-
-class ModelLoadBalanceConfig(BaseSettings):
-    """
-    Configuration for model load balancing
-    """
-
-    MODEL_LB_ENABLED: bool = Field(
-        description="Enable or disable load balancing for models",
-        default=False,
-    )
-
-
-class BillingConfig(BaseSettings):
-    """
-    Configuration for platform billing features
-    """
-
-    BILLING_ENABLED: bool = Field(
-        description="Enable or disable billing functionality",
-        default=False,
-    )
-
-
-class UpdateConfig(BaseSettings):
-    """
-    Configuration for application update checks
-    """
-
-    CHECK_UPDATE_URL: str = Field(
-        description="URL to check for application updates",
-        default="https://updates.dify.ai",
-    )
-
-
-class WorkflowConfig(BaseSettings):
-    """
-    Configuration for workflow execution
-    """
-
-    WORKFLOW_MAX_EXECUTION_STEPS: PositiveInt = Field(
-        description="Maximum number of steps allowed in a single workflow execution",
-        default=500,
-    )
-
-    WORKFLOW_MAX_EXECUTION_TIME: PositiveInt = Field(
-        description="Maximum execution time in seconds for a single workflow",
-        default=1200,
-    )
-
-    WORKFLOW_CALL_MAX_DEPTH: PositiveInt = Field(
-        description="Maximum allowed depth for nested workflow calls",
-        default=5,
-    )
-
-    WORKFLOW_PARALLEL_DEPTH_LIMIT: PositiveInt = Field(
-        description="Maximum allowed depth for nested parallel executions",
-        default=3,
-    )
-
-    MAX_VARIABLE_SIZE: PositiveInt = Field(
-        description="Maximum size in bytes for a single variable in workflows. Default to 200 KB.",
-        default=200 * 1024,
-    )
-
-
-class WorkflowNodeExecutionConfig(BaseSettings):
-    """
-    Configuration for workflow node execution
-    """
-
-    MAX_SUBMIT_COUNT: PositiveInt = Field(
-        description="Maximum number of submitted thread count in a ThreadPool for parallel node execution",
-        default=100,
-    )
-
-
-class AuthConfig(BaseSettings):
-    """
-    Configuration for authentication and OAuth
-    """
-
-    OAUTH_REDIRECT_PATH: str = Field(
-        description="Redirect path for OAuth authentication callbacks",
-        default="/console/api/oauth/authorize",
-    )
-
-    GITHUB_CLIENT_ID: Optional[str] = Field(
-        description="GitHub OAuth client ID",
-        default=None,
-    )
-
-    GITHUB_CLIENT_SECRET: Optional[str] = Field(
-        description="GitHub OAuth client secret",
-        default=None,
-    )
-
-    GOOGLE_CLIENT_ID: Optional[str] = Field(
-        description="Google OAuth client ID",
-        default=None,
-    )
-
-    GOOGLE_CLIENT_SECRET: Optional[str] = Field(
-        description="Google OAuth client secret",
-        default=None,
-    )
-
-    ACCESS_TOKEN_EXPIRE_MINUTES: PositiveInt = Field(
-        description="Expiration time for access tokens in minutes",
-        default=60,
-    )
-
-    REFRESH_TOKEN_EXPIRE_DAYS: PositiveFloat = Field(
-        description="Expiration time for refresh tokens in days",
-        default=30,
-    )
-
-    LOGIN_LOCKOUT_DURATION: PositiveInt = Field(
-        description="Time (in seconds) a user must wait before retrying login after exceeding the rate limit.",
-        default=86400,
-    )
-
-
-class ModerationConfig(BaseSettings):
-    """
-    Configuration for content moderation
-    """
-
-    MODERATION_BUFFER_SIZE: PositiveInt = Field(
-        description="Size of the buffer for content moderation processing",
-        default=300,
-    )
-
-
-class ToolConfig(BaseSettings):
-    """
-    Configuration for tool management
-    """
-
-    TOOL_ICON_CACHE_MAX_AGE: PositiveInt = Field(
-        description="Maximum age in seconds for caching tool icons",
-        default=3600,
-    )
-
-
-class MailConfig(BaseSettings):
-    """
-    Configuration for email services
-    """
-
-    MAIL_TYPE: Optional[str] = Field(
-        description="Email service provider type ('smtp' or 'resend'), default to None.",
-        default=None,
-    )
-
-    MAIL_DEFAULT_SEND_FROM: Optional[str] = Field(
-        description="Default email address to use as the sender",
-        default=None,
-    )
-
-    RESEND_API_KEY: Optional[str] = Field(
-        description="API key for Resend email service",
-        default=None,
-    )
-
-    RESEND_API_URL: Optional[str] = Field(
-        description="API URL for Resend email service",
-        default=None,
-    )
-
-    SMTP_SERVER: Optional[str] = Field(
-        description="SMTP server hostname",
-        default=None,
-    )
-
-    SMTP_PORT: Optional[int] = Field(
-        description="SMTP server port number",
-        default=465,
-    )
-
-    SMTP_USERNAME: Optional[str] = Field(
-        description="Username for SMTP authentication",
-        default=None,
-    )
-
-    SMTP_PASSWORD: Optional[str] = Field(
-        description="Password for SMTP authentication",
-        default=None,
-    )
-
-    SMTP_USE_TLS: bool = Field(
-        description="Enable TLS encryption for SMTP connections",
-        default=False,
-    )
-
-    SMTP_OPPORTUNISTIC_TLS: bool = Field(
-        description="Enable opportunistic TLS for SMTP connections",
-        default=False,
-    )
-
-    EMAIL_SEND_IP_LIMIT_PER_MINUTE: PositiveInt = Field(
-        description="Maximum number of emails allowed to be sent from the same IP address in a minute",
-        default=50,
-    )
-
-
-class RagEtlConfig(BaseSettings):
-    """
-    Configuration for RAG ETL processes
-    """
-
-    # TODO: This config is not only for rag etl, it is also for file upload, we should move it to file upload config
-    ETL_TYPE: str = Field(
-        description="RAG ETL type ('dify' or 'Unstructured'), default to 'dify'",
-        default="dify",
-    )
-
-    KEYWORD_DATA_SOURCE_TYPE: str = Field(
-        description="Data source type for keyword extraction"
-        " ('database' or other supported types), default to 'database'",
-        default="database",
-    )
-
-    UNSTRUCTURED_API_URL: Optional[str] = Field(
-        description="API URL for Unstructured.io service",
-        default=None,
-    )
-
-    UNSTRUCTURED_API_KEY: Optional[str] = Field(
-        description="API key for Unstructured.io service",
-        default="",
-    )
-
-    SCARF_NO_ANALYTICS: Optional[str] = Field(
-        description="This is about whether to disable Scarf analytics in Unstructured library.",
-        default="false",
-    )
-
-
-class DataSetConfig(BaseSettings):
-    """
-    Configuration for dataset management
-    """
-
-    PLAN_SANDBOX_CLEAN_DAY_SETTING: PositiveInt = Field(
-        description="Interval in days for dataset cleanup operations - plan: sandbox",
-        default=30,
-    )
-
-    PLAN_PRO_CLEAN_DAY_SETTING: PositiveInt = Field(
-        description="Interval in days for dataset cleanup operations - plan: pro and team",
-        default=7,
-    )
-
-    DATASET_OPERATOR_ENABLED: bool = Field(
-        description="Enable or disable dataset operator functionality",
-        default=False,
-    )
-
-    TIDB_SERVERLESS_NUMBER: PositiveInt = Field(
-        description="number of tidb serverless cluster",
-        default=500,
-    )
-
-    CREATE_TIDB_SERVICE_JOB_ENABLED: bool = Field(
-        description="Enable or disable create tidb service job",
-        default=False,
-    )
-
-    PLAN_SANDBOX_CLEAN_MESSAGE_DAY_SETTING: PositiveInt = Field(
-        description="Interval in days for message cleanup operations - plan: sandbox",
-        default=30,
-    )
-
-
-class WorkspaceConfig(BaseSettings):
-    """
-    Configuration for workspace management
-    """
-
-    INVITE_EXPIRY_HOURS: PositiveInt = Field(
-        description="Expiration time in hours for workspace invitation links",
-        default=72,
-    )
-
-
-class IndexingConfig(BaseSettings):
-    """
-    Configuration for indexing operations
-    """
-
-    INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: PositiveInt = Field(
-        description="Maximum token length for text segmentation during indexing",
-        default=4000,
-    )
-
-    CHILD_CHUNKS_PREVIEW_NUMBER: PositiveInt = Field(
-        description="Maximum number of child chunks to preview",
-        default=50,
-    )
-
-
-class MultiModalTransferConfig(BaseSettings):
-    MULTIMODAL_SEND_FORMAT: Literal["base64", "url"] = Field(
-        description="Format for sending files in multimodal contexts ('base64' or 'url'), default is base64",
-        default="base64",
-    )
-
-
-class CeleryBeatConfig(BaseSettings):
-    CELERY_BEAT_SCHEDULER_TIME: int = Field(
-        description="Interval in days for Celery Beat scheduler execution, default to 1 day",
-        default=1,
-    )
-
-
-class PositionConfig(BaseSettings):
-    POSITION_PROVIDER_PINS: str = Field(
-        description="Comma-separated list of pinned model providers",
-        default="",
-    )
-
-    POSITION_PROVIDER_INCLUDES: str = Field(
-        description="Comma-separated list of included model providers",
-        default="",
-    )
-
-    POSITION_PROVIDER_EXCLUDES: str = Field(
-        description="Comma-separated list of excluded model providers",
-        default="",
-    )
-
-    POSITION_TOOL_PINS: str = Field(
-        description="Comma-separated list of pinned tools",
-        default="",
-    )
-
-    POSITION_TOOL_INCLUDES: str = Field(
-        description="Comma-separated list of included tools",
-        default="",
-    )
-
-    POSITION_TOOL_EXCLUDES: str = Field(
-        description="Comma-separated list of excluded tools",
-        default="",
-    )
-
-    @property
-    def POSITION_PROVIDER_PINS_LIST(self) -> list[str]:
-        return [item.strip() for item in self.POSITION_PROVIDER_PINS.split(",") if item.strip() != ""]
-
-    @property
-    def POSITION_PROVIDER_INCLUDES_SET(self) -> set[str]:
-        return {item.strip() for item in self.POSITION_PROVIDER_INCLUDES.split(",") if item.strip() != ""}
-
-    @property
-    def POSITION_PROVIDER_EXCLUDES_SET(self) -> set[str]:
-        return {item.strip() for item in self.POSITION_PROVIDER_EXCLUDES.split(",") if item.strip() != ""}
-
-    @property
-    def POSITION_TOOL_PINS_LIST(self) -> list[str]:
-        return [item.strip() for item in self.POSITION_TOOL_PINS.split(",") if item.strip() != ""]
-
-    @property
-    def POSITION_TOOL_INCLUDES_SET(self) -> set[str]:
-        return {item.strip() for item in self.POSITION_TOOL_INCLUDES.split(",") if item.strip() != ""}
-
-    @property
-    def POSITION_TOOL_EXCLUDES_SET(self) -> set[str]:
-        return {item.strip() for item in self.POSITION_TOOL_EXCLUDES.split(",") if item.strip() != ""}
-
-
-class LoginConfig(BaseSettings):
-    ENABLE_EMAIL_CODE_LOGIN: bool = Field(
-        description="whether to enable email code login",
-        default=False,
-    )
-    ENABLE_EMAIL_PASSWORD_LOGIN: bool = Field(
-        description="whether to enable email password login",
-        default=True,
-    )
-    ENABLE_SOCIAL_OAUTH_LOGIN: bool = Field(
-        description="whether to enable github/google oauth login",
-        default=False,
-    )
-    EMAIL_CODE_LOGIN_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
-        description="expiry time in minutes for email code login token",
-        default=5,
-    )
-    ALLOW_REGISTER: bool = Field(
-        description="whether to enable register",
-        default=False,
-    )
-    ALLOW_CREATE_WORKSPACE: bool = Field(
-        description="whether to enable create workspace",
-        default=False,
-    )
-
-
-class AccountConfig(BaseSettings):
-    ACCOUNT_DELETION_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
-        description="Duration in minutes for which a account deletion token remains valid",
-        default=5,
-    )
-
-
-class FeatureConfig(
-    # place the configs in alphabet order
-    AppExecutionConfig,
-    AuthConfig,  # Changed from OAuthConfig to AuthConfig
-    BillingConfig,
-    CodeExecutionSandboxConfig,
-    DataSetConfig,
-    EndpointConfig,
-    FileAccessConfig,
-    FileUploadConfig,
-    HttpConfig,
-    InnerAPIConfig,
-    IndexingConfig,
-    LoggingConfig,
-    MailConfig,
-    ModelLoadBalanceConfig,
-    ModerationConfig,
-    MultiModalTransferConfig,
-    PositionConfig,
-    RagEtlConfig,
-    SecurityConfig,
-    ToolConfig,
-    UpdateConfig,
-    WorkflowConfig,
-    WorkflowNodeExecutionConfig,
-    WorkspaceConfig,
-    LoginConfig,
-    AccountConfig,
-    # hosted services config
-    HostedServiceConfig,
-    CeleryBeatConfig,
-):
-    pass

api/configs/feature/hosted_service/__init__.py

@@ -1,206 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, NonNegativeInt
-from pydantic_settings import BaseSettings
-
-
-class HostedOpenAiConfig(BaseSettings):
-    """
-    Configuration for hosted OpenAI service
-    """
-
-    HOSTED_OPENAI_API_KEY: Optional[str] = Field(
-        description="API key for hosted OpenAI service",
-        default=None,
-    )
-
-    HOSTED_OPENAI_API_BASE: Optional[str] = Field(
-        description="Base URL for hosted OpenAI API",
-        default=None,
-    )
-
-    HOSTED_OPENAI_API_ORGANIZATION: Optional[str] = Field(
-        description="Organization ID for hosted OpenAI service",
-        default=None,
-    )
-
-    HOSTED_OPENAI_TRIAL_ENABLED: bool = Field(
-        description="Enable trial access to hosted OpenAI service",
-        default=False,
-    )
-
-    HOSTED_OPENAI_TRIAL_MODELS: str = Field(
-        description="Comma-separated list of available models for trial access",
-        default="gpt-3.5-turbo,"
-        "gpt-3.5-turbo-1106,"
-        "gpt-3.5-turbo-instruct,"
-        "gpt-3.5-turbo-16k,"
-        "gpt-3.5-turbo-16k-0613,"
-        "gpt-3.5-turbo-0613,"
-        "gpt-3.5-turbo-0125,"
-        "text-davinci-003",
-    )
-
-    HOSTED_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field(
-        description="Quota limit for hosted OpenAI service usage",
-        default=200,
-    )
-
-    HOSTED_OPENAI_PAID_ENABLED: bool = Field(
-        description="Enable paid access to hosted OpenAI service",
-        default=False,
-    )
-
-    HOSTED_OPENAI_PAID_MODELS: str = Field(
-        description="Comma-separated list of available models for paid access",
-        default="gpt-4,"
-        "gpt-4-turbo-preview,"
-        "gpt-4-turbo-2024-04-09,"
-        "gpt-4-1106-preview,"
-        "gpt-4-0125-preview,"
-        "gpt-3.5-turbo,"
-        "gpt-3.5-turbo-16k,"
-        "gpt-3.5-turbo-16k-0613,"
-        "gpt-3.5-turbo-1106,"
-        "gpt-3.5-turbo-0613,"
-        "gpt-3.5-turbo-0125,"
-        "gpt-3.5-turbo-instruct,"
-        "text-davinci-003",
-    )
-
-
-class HostedAzureOpenAiConfig(BaseSettings):
-    """
-    Configuration for hosted Azure OpenAI service
-    """
-
-    HOSTED_AZURE_OPENAI_ENABLED: bool = Field(
-        description="Enable hosted Azure OpenAI service",
-        default=False,
-    )
-
-    HOSTED_AZURE_OPENAI_API_KEY: Optional[str] = Field(
-        description="API key for hosted Azure OpenAI service",
-        default=None,
-    )
-
-    HOSTED_AZURE_OPENAI_API_BASE: Optional[str] = Field(
-        description="Base URL for hosted Azure OpenAI API",
-        default=None,
-    )
-
-    HOSTED_AZURE_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field(
-        description="Quota limit for hosted Azure OpenAI service usage",
-        default=200,
-    )
-
-
-class HostedAnthropicConfig(BaseSettings):
-    """
-    Configuration for hosted Anthropic service
-    """
-
-    HOSTED_ANTHROPIC_API_BASE: Optional[str] = Field(
-        description="Base URL for hosted Anthropic API",
-        default=None,
-    )
-
-    HOSTED_ANTHROPIC_API_KEY: Optional[str] = Field(
-        description="API key for hosted Anthropic service",
-        default=None,
-    )
-
-    HOSTED_ANTHROPIC_TRIAL_ENABLED: bool = Field(
-        description="Enable trial access to hosted Anthropic service",
-        default=False,
-    )
-
-    HOSTED_ANTHROPIC_QUOTA_LIMIT: NonNegativeInt = Field(
-        description="Quota limit for hosted Anthropic service usage",
-        default=600000,
-    )
-
-    HOSTED_ANTHROPIC_PAID_ENABLED: bool = Field(
-        description="Enable paid access to hosted Anthropic service",
-        default=False,
-    )
-
-
-class HostedMinmaxConfig(BaseSettings):
-    """
-    Configuration for hosted Minmax service
-    """
-
-    HOSTED_MINIMAX_ENABLED: bool = Field(
-        description="Enable hosted Minmax service",
-        default=False,
-    )
-
-
-class HostedSparkConfig(BaseSettings):
-    """
-    Configuration for hosted Spark service
-    """
-
-    HOSTED_SPARK_ENABLED: bool = Field(
-        description="Enable hosted Spark service",
-        default=False,
-    )
-
-
-class HostedZhipuAIConfig(BaseSettings):
-    """
-    Configuration for hosted ZhipuAI service
-    """
-
-    HOSTED_ZHIPUAI_ENABLED: bool = Field(
-        description="Enable hosted ZhipuAI service",
-        default=False,
-    )
-
-
-class HostedModerationConfig(BaseSettings):
-    """
-    Configuration for hosted Moderation service
-    """
-
-    HOSTED_MODERATION_ENABLED: bool = Field(
-        description="Enable hosted Moderation service",
-        default=False,
-    )
-
-    HOSTED_MODERATION_PROVIDERS: str = Field(
-        description="Comma-separated list of moderation providers",
-        default="",
-    )
-
-
-class HostedFetchAppTemplateConfig(BaseSettings):
-    """
-    Configuration for fetching app templates
-    """
-
-    HOSTED_FETCH_APP_TEMPLATES_MODE: str = Field(
-        description="Mode for fetching app templates: remote, db, or builtin" " default to remote,",
-        default="remote",
-    )
-
-    HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN: str = Field(
-        description="Domain for fetching remote app templates",
-        default="https://tmpl.dify.ai",
-    )
-
-
-class HostedServiceConfig(
-    # place the configs in alphabet order
-    HostedAnthropicConfig,
-    HostedAzureOpenAiConfig,
-    HostedFetchAppTemplateConfig,
-    HostedMinmaxConfig,
-    HostedOpenAiConfig,
-    HostedSparkConfig,
-    HostedZhipuAIConfig,
-    # moderation
-    HostedModerationConfig,
-):
-    pass

api/configs/middleware/__init__.py

@@ -1,279 +0,0 @@
-from typing import Any, Literal, 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
-
-
-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_LOCAL_PATH: str = Field(
-        description="Path for local storage when STORAGE_TYPE is set to 'local'.",
-        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.",
-        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.",
-        default="jieba",
-    )
-
-
-class DatabaseConfig(BaseSettings):
-    DB_HOST: str = Field(
-        description="Hostname or IP address of the database server.",
-        default="localhost",
-    )
-
-    DB_PORT: PositiveInt = Field(
-        description="Port number for database connection.",
-        default=5432,
-    )
-
-    DB_USERNAME: str = Field(
-        description="Username for database authentication.",
-        default="postgres",
-    )
-
-    DB_PASSWORD: str = Field(
-        description="Password for database authentication.",
-        default="",
-    )
-
-    DB_DATABASE: str = Field(
-        description="Name of the database to connect to.",
-        default="dify",
-    )
-
-    DB_CHARSET: str = Field(
-        description="Character set for database connection.",
-        default="",
-    )
-
-    DB_EXTRAS: str = Field(
-        description="Additional database connection parameters. Example: 'keepalives_idle=60&keepalives=1'",
-        default="",
-    )
-
-    SQLALCHEMY_DATABASE_URI_SCHEME: str = Field(
-        description="Database URI scheme for SQLAlchemy connection.",
-        default="postgresql",
-    )
-
-    @computed_field
-    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
-        ).strip("&")
-        db_extras = f"?{db_extras}" if db_extras else ""
-        return (
-            f"{self.SQLALCHEMY_DATABASE_URI_SCHEME}://"
-            f"{quote_plus(self.DB_USERNAME)}:{quote_plus(self.DB_PASSWORD)}@{self.DB_HOST}:{self.DB_PORT}/{self.DB_DATABASE}"
-            f"{db_extras}"
-        )
-
-    SQLALCHEMY_POOL_SIZE: NonNegativeInt = Field(
-        description="Maximum number of database connections in the pool.",
-        default=30,
-    )
-
-    SQLALCHEMY_MAX_OVERFLOW: NonNegativeInt = Field(
-        description="Maximum number of connections that can be created beyond the pool_size.",
-        default=10,
-    )
-
-    SQLALCHEMY_POOL_RECYCLE: NonNegativeInt = Field(
-        description="Number of seconds after which a connection is automatically recycled.",
-        default=3600,
-    )
-
-    SQLALCHEMY_POOL_PRE_PING: bool = Field(
-        description="If True, enables connection pool pre-ping feature to check connections.",
-        default=False,
-    )
-
-    SQLALCHEMY_ECHO: bool | str = Field(
-        description="If True, SQLAlchemy will log all SQL statements.",
-        default=False,
-    )
-
-    @computed_field
-    def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
-        return {
-            "pool_size": self.SQLALCHEMY_POOL_SIZE,
-            "max_overflow": self.SQLALCHEMY_MAX_OVERFLOW,
-            "pool_recycle": self.SQLALCHEMY_POOL_RECYCLE,
-            "pool_pre_ping": self.SQLALCHEMY_POOL_PRE_PING,
-            "connect_args": {"options": "-c timezone=UTC"},
-        }
-
-
-class CeleryConfig(DatabaseConfig):
-    CELERY_BACKEND: str = Field(
-        description="Backend for Celery task results. Options: 'database', 'redis'.",
-        default="database",
-    )
-
-    CELERY_BROKER_URL: Optional[str] = Field(
-        description="URL of the message broker for Celery tasks.",
-        default=None,
-    )
-
-    CELERY_USE_SENTINEL: Optional[bool] = Field(
-        description="Whether to use Redis Sentinel for high availability.",
-        default=False,
-    )
-
-    CELERY_SENTINEL_MASTER_NAME: Optional[str] = Field(
-        description="Name of the Redis Sentinel master.",
-        default=None,
-    )
-
-    CELERY_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
-        description="Timeout for Redis Sentinel socket operations in seconds.",
-        default=0.1,
-    )
-
-    @computed_field
-    def CELERY_RESULT_BACKEND(self) -> str | None:
-        return (
-            "db+{}".format(self.SQLALCHEMY_DATABASE_URI)
-            if self.CELERY_BACKEND == "database"
-            else self.CELERY_BROKER_URL
-        )
-
-    @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,
-    DatabaseConfig,
-    KeywordStoreConfig,
-    RedisConfig,
-    # configs of storage and storage providers
-    StorageConfig,
-    AliyunOSSStorageConfig,
-    AzureBlobStorageConfig,
-    BaiduOBSStorageConfig,
-    GoogleCloudStorageConfig,
-    HuaweiCloudOBSStorageConfig,
-    OCIStorageConfig,
-    OpenDALStorageConfig,
-    S3StorageConfig,
-    SupabaseStorageConfig,
-    TencentCloudCOSStorageConfig,
-    VolcengineTOSStorageConfig,
-    # configs of vdb and vdb providers
-    VectorStoreConfig,
-    AnalyticdbConfig,
-    ChromaConfig,
-    MilvusConfig,
-    MyScaleConfig,
-    OpenSearchConfig,
-    OracleConfig,
-    PGVectorConfig,
-    PGVectoRSConfig,
-    QdrantConfig,
-    RelytConfig,
-    TencentVectorDBConfig,
-    TiDBVectorConfig,
-    WeaviateConfig,
-    ElasticsearchConfig,
-    CouchbaseConfig,
-    InternalTestConfig,
-    VikingDBConfig,
-    UpstashConfig,
-    TidbOnQdrantConfig,
-    LindormConfig,
-    OceanBaseVectorConfig,
-    BaiduVectorDBConfig,
-):
-    pass

api/configs/middleware/cache/redis_config.py

@@ -1,85 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class RedisConfig(BaseSettings):
-    """
-    Configuration settings for Redis connection
-    """
-
-    REDIS_HOST: str = Field(
-        description="Hostname or IP address of the Redis server",
-        default="localhost",
-    )
-
-    REDIS_PORT: PositiveInt = Field(
-        description="Port number on which the Redis server is listening",
-        default=6379,
-    )
-
-    REDIS_USERNAME: Optional[str] = Field(
-        description="Username for Redis authentication (if required)",
-        default=None,
-    )
-
-    REDIS_PASSWORD: Optional[str] = Field(
-        description="Password for Redis authentication (if required)",
-        default=None,
-    )
-
-    REDIS_DB: NonNegativeInt = Field(
-        description="Redis database number to use (0-15)",
-        default=0,
-    )
-
-    REDIS_USE_SSL: bool = Field(
-        description="Enable SSL/TLS for the Redis connection",
-        default=False,
-    )
-
-    REDIS_USE_SENTINEL: Optional[bool] = Field(
-        description="Enable Redis Sentinel mode for high availability",
-        default=False,
-    )
-
-    REDIS_SENTINELS: Optional[str] = Field(
-        description="Comma-separated list of Redis Sentinel nodes (host:port)",
-        default=None,
-    )
-
-    REDIS_SENTINEL_SERVICE_NAME: Optional[str] = Field(
-        description="Name of the Redis Sentinel service to monitor",
-        default=None,
-    )
-
-    REDIS_SENTINEL_USERNAME: Optional[str] = Field(
-        description="Username for Redis Sentinel authentication (if required)",
-        default=None,
-    )
-
-    REDIS_SENTINEL_PASSWORD: Optional[str] = Field(
-        description="Password for Redis Sentinel authentication (if required)",
-        default=None,
-    )
-
-    REDIS_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
-        description="Socket timeout in seconds for Redis Sentinel connections",
-        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

@@ -1,45 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class AliyunOSSStorageConfig(BaseSettings):
-    """
-    Configuration settings for Aliyun Object Storage Service (OSS)
-    """
-
-    ALIYUN_OSS_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the Aliyun OSS bucket to store and retrieve objects",
-        default=None,
-    )
-
-    ALIYUN_OSS_ACCESS_KEY: Optional[str] = Field(
-        description="Access key ID for authenticating with Aliyun OSS",
-        default=None,
-    )
-
-    ALIYUN_OSS_SECRET_KEY: Optional[str] = Field(
-        description="Secret access key for authenticating with Aliyun OSS",
-        default=None,
-    )
-
-    ALIYUN_OSS_ENDPOINT: Optional[str] = Field(
-        description="URL of the Aliyun OSS endpoint for your chosen region",
-        default=None,
-    )
-
-    ALIYUN_OSS_REGION: Optional[str] = Field(
-        description="Aliyun OSS region where your bucket is located (e.g., 'oss-cn-hangzhou')",
-        default=None,
-    )
-
-    ALIYUN_OSS_AUTH_VERSION: Optional[str] = Field(
-        description="Version of the authentication protocol to use with Aliyun OSS (e.g., 'v4')",
-        default=None,
-    )
-
-    ALIYUN_OSS_PATH: Optional[str] = Field(
-        description="Base path within the bucket to store objects (e.g., 'my-app-data/')",
-        default=None,
-    )

api/configs/middleware/storage/amazon_s3_storage_config.py

@@ -1,45 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class S3StorageConfig(BaseSettings):
-    """
-    Configuration settings for S3-compatible object storage
-    """
-
-    S3_ENDPOINT: Optional[str] = Field(
-        description="URL of the S3-compatible storage endpoint (e.g., 'https://s3.amazonaws.com')",
-        default=None,
-    )
-
-    S3_REGION: Optional[str] = Field(
-        description="Region where the S3 bucket is located (e.g., 'us-east-1')",
-        default=None,
-    )
-
-    S3_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the S3 bucket to store and retrieve objects",
-        default=None,
-    )
-
-    S3_ACCESS_KEY: Optional[str] = Field(
-        description="Access key ID for authenticating with the S3 service",
-        default=None,
-    )
-
-    S3_SECRET_KEY: Optional[str] = Field(
-        description="Secret access key for authenticating with the S3 service",
-        default=None,
-    )
-
-    S3_ADDRESS_STYLE: str = Field(
-        description="S3 addressing style: 'auto', 'path', or 'virtual'",
-        default="auto",
-    )
-
-    S3_USE_AWS_MANAGED_IAM: bool = Field(
-        description="Use AWS managed IAM roles for authentication instead of access/secret keys",
-        default=False,
-    )

api/configs/middleware/storage/azure_blob_storage_config.py

@@ -1,30 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class AzureBlobStorageConfig(BaseSettings):
-    """
-    Configuration settings for Azure Blob Storage
-    """
-
-    AZURE_BLOB_ACCOUNT_NAME: Optional[str] = Field(
-        description="Name of the Azure Storage account (e.g., 'mystorageaccount')",
-        default=None,
-    )
-
-    AZURE_BLOB_ACCOUNT_KEY: Optional[str] = Field(
-        description="Access key for authenticating with the Azure Storage account",
-        default=None,
-    )
-
-    AZURE_BLOB_CONTAINER_NAME: Optional[str] = Field(
-        description="Name of the Azure Blob container to store and retrieve objects",
-        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')",
-        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

@@ -1,20 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class GoogleCloudStorageConfig(BaseSettings):
-    """
-    Configuration settings for Google Cloud Storage
-    """
-
-    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')",
-        default=None,
-    )
-
-    GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: Optional[str] = Field(
-        description="Base64-encoded JSON key file for Google Cloud service account authentication",
-        default=None,
-    )

api/configs/middleware/storage/huawei_obs_storage_config.py

@@ -1,30 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class HuaweiCloudOBSStorageConfig(BaseSettings):
-    """
-    Configuration settings for Huawei Cloud Object Storage Service (OBS)
-    """
-
-    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')",
-        default=None,
-    )
-
-    HUAWEI_OBS_ACCESS_KEY: Optional[str] = Field(
-        description="Access Key ID for authenticating with Huawei Cloud OBS",
-        default=None,
-    )
-
-    HUAWEI_OBS_SECRET_KEY: Optional[str] = Field(
-        description="Secret Access Key for authenticating with Huawei Cloud OBS",
-        default=None,
-    )
-
-    HUAWEI_OBS_SERVER: Optional[str] = Field(
-        description="Endpoint URL for Huawei Cloud OBS (e.g., 'https://obs.cn-north-4.myhuaweicloud.com')",
-        default=None,
-    )

api/configs/middleware/storage/oci_storage_config.py

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class OCIStorageConfig(BaseSettings):
-    """
-    Configuration settings for Oracle Cloud Infrastructure (OCI) Object Storage
-    """
-
-    OCI_ENDPOINT: Optional[str] = Field(
-        description="URL of the OCI Object Storage endpoint (e.g., 'https://objectstorage.us-phoenix-1.oraclecloud.com')",
-        default=None,
-    )
-
-    OCI_REGION: Optional[str] = Field(
-        description="OCI region where the bucket is located (e.g., 'us-phoenix-1')",
-        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')",
-        default=None,
-    )
-
-    OCI_ACCESS_KEY: Optional[str] = Field(
-        description="Access key (also known as API key) for authenticating with OCI Object Storage",
-        default=None,
-    )
-
-    OCI_SECRET_KEY: Optional[str] = Field(
-        description="Secret key associated with the access key for authenticating with OCI Object Storage",
-        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

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class TencentCloudCOSStorageConfig(BaseSettings):
-    """
-    Configuration settings for Tencent Cloud Object Storage (COS)
-    """
-
-    TENCENT_COS_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the Tencent Cloud COS bucket to store and retrieve objects",
-        default=None,
-    )
-
-    TENCENT_COS_REGION: Optional[str] = Field(
-        description="Tencent Cloud region where the COS bucket is located (e.g., 'ap-guangzhou')",
-        default=None,
-    )
-
-    TENCENT_COS_SECRET_ID: Optional[str] = Field(
-        description="SecretId for authenticating with Tencent Cloud COS (part of API credentials)",
-        default=None,
-    )
-
-    TENCENT_COS_SECRET_KEY: Optional[str] = Field(
-        description="SecretKey for authenticating with Tencent Cloud COS (part of API credentials)",
-        default=None,
-    )
-
-    TENCENT_COS_SCHEME: Optional[str] = Field(
-        description="Protocol scheme for COS requests: 'https' (recommended) or 'http'",
-        default=None,
-    )

api/configs/middleware/storage/volcengine_tos_storage_config.py

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class VolcengineTOSStorageConfig(BaseSettings):
-    """
-    Configuration settings for Volcengine Tinder Object Storage (TOS)
-    """
-
-    VOLCENGINE_TOS_BUCKET_NAME: Optional[str] = Field(
-        description="Name of the Volcengine TOS bucket to store and retrieve objects (e.g., 'my-tos-bucket')",
-        default=None,
-    )
-
-    VOLCENGINE_TOS_ACCESS_KEY: Optional[str] = Field(
-        description="Access Key ID for authenticating with Volcengine TOS",
-        default=None,
-    )
-
-    VOLCENGINE_TOS_SECRET_KEY: Optional[str] = Field(
-        description="Secret Access Key for authenticating with Volcengine TOS",
-        default=None,
-    )
-
-    VOLCENGINE_TOS_ENDPOINT: Optional[str] = Field(
-        description="URL of the Volcengine TOS endpoint (e.g., 'https://tos-cn-beijing.volces.com')",
-        default=None,
-    )
-
-    VOLCENGINE_TOS_REGION: Optional[str] = Field(
-        description="Volcengine region where the TOS bucket is located (e.g., 'cn-beijing')",
-        default=None,
-    )

api/configs/middleware/vdb/analyticdb_config.py

@@ -1,51 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class AnalyticdbConfig(BaseSettings):
-    """
-    Configuration for connecting to Alibaba Cloud AnalyticDB for PostgreSQL.
-    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."
-    )
-    ANALYTICDB_KEY_SECRET: Optional[str] = Field(
-        default=None, description="The Secret Access Key corresponding to the Access Key ID for secure API 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').",
-    )
-    ANALYTICDB_INSTANCE_ID: Optional[str] = Field(
-        default=None,
-        description="The unique identifier of the AnalyticDB instance you want to connect to.",
-    )
-    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).",
-    )
-    ANALYTICDB_PASSWORD: Optional[str] = Field(
-        default=None, description="The password associated with the AnalyticDB account for database authentication."
-    )
-    ANALYTICDB_NAMESPACE: Optional[str] = Field(
-        default=None, description="The namespace within AnalyticDB for schema isolation (if using namespace feature)."
-    )
-    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).",
-    )
-    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

@@ -1,40 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class ChromaConfig(BaseSettings):
-    """
-    Configuration settings for Chroma vector database
-    """
-
-    CHROMA_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the Chroma server (e.g., 'localhost' or '192.168.1.100')",
-        default=None,
-    )
-
-    CHROMA_PORT: PositiveInt = Field(
-        description="Port number on which the Chroma server is listening (default is 8000)",
-        default=8000,
-    )
-
-    CHROMA_TENANT: Optional[str] = Field(
-        description="Tenant identifier for multi-tenancy support in Chroma",
-        default=None,
-    )
-
-    CHROMA_DATABASE: Optional[str] = Field(
-        description="Name of the Chroma database to connect to",
-        default=None,
-    )
-
-    CHROMA_AUTH_PROVIDER: Optional[str] = Field(
-        description="Authentication provider for Chroma (e.g., 'basic', 'token', or a custom provider)",
-        default=None,
-    )
-
-    CHROMA_AUTH_CREDENTIALS: Optional[str] = Field(
-        description="Authentication credentials for Chroma (format depends on the auth provider)",
-        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

@@ -1,30 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class ElasticsearchConfig(BaseSettings):
-    """
-    Configuration settings for Elasticsearch
-    """
-
-    ELASTICSEARCH_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the Elasticsearch server (e.g., 'localhost' or '192.168.1.100')",
-        default="127.0.0.1",
-    )
-
-    ELASTICSEARCH_PORT: PositiveInt = Field(
-        description="Port number on which the Elasticsearch server is listening (default is 9200)",
-        default=9200,
-    )
-
-    ELASTICSEARCH_USERNAME: Optional[str] = Field(
-        description="Username for authenticating with Elasticsearch (default is 'elastic')",
-        default="elastic",
-    )
-
-    ELASTICSEARCH_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with Elasticsearch (default is 'elastic')",
-        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

@@ -1,41 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class MilvusConfig(BaseSettings):
-    """
-    Configuration settings for Milvus vector database
-    """
-
-    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')",
-        default="http://127.0.0.1:19530",
-    )
-
-    MILVUS_TOKEN: Optional[str] = Field(
-        description="Authentication token for Milvus, if token-based authentication is enabled",
-        default=None,
-    )
-
-    MILVUS_USER: Optional[str] = Field(
-        description="Username for authenticating with Milvus, if username/password authentication is enabled",
-        default=None,
-    )
-
-    MILVUS_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with Milvus, if username/password authentication is enabled",
-        default=None,
-    )
-
-    MILVUS_DATABASE: str = Field(
-        description="Name of the Milvus database to connect to (default is '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 +0,0 @@
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class MyScaleConfig(BaseSettings):
-    """
-    Configuration settings for MyScale vector database
-    """
-
-    MYSCALE_HOST: str = Field(
-        description="Hostname or IP address of the MyScale server (e.g., 'localhost' or 'myscale.example.com')",
-        default="localhost",
-    )
-
-    MYSCALE_PORT: PositiveInt = Field(
-        description="Port number on which the MyScale server is listening (default is 8123)",
-        default=8123,
-    )
-
-    MYSCALE_USER: str = Field(
-        description="Username for authenticating with MyScale (default is 'default')",
-        default="default",
-    )
-
-    MYSCALE_PASSWORD: str = Field(
-        description="Password for authenticating with MyScale (default is an empty string)",
-        default="",
-    )
-
-    MYSCALE_DATABASE: str = Field(
-        description="Name of the MyScale database to connect to (default is 'default')",
-        default="default",
-    )
-
-    MYSCALE_FTS_PARAMS: str = Field(
-        description="Additional parameters for MyScale Full Text Search index)",
-        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

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class OpenSearchConfig(BaseSettings):
-    """
-    Configuration settings for OpenSearch
-    """
-
-    OPENSEARCH_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the OpenSearch server (e.g., 'localhost' or 'opensearch.example.com')",
-        default=None,
-    )
-
-    OPENSEARCH_PORT: PositiveInt = Field(
-        description="Port number on which the OpenSearch server is listening (default is 9200)",
-        default=9200,
-    )
-
-    OPENSEARCH_USER: Optional[str] = Field(
-        description="Username for authenticating with OpenSearch",
-        default=None,
-    )
-
-    OPENSEARCH_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with OpenSearch",
-        default=None,
-    )
-
-    OPENSEARCH_SECURE: bool = Field(
-        description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)",
-        default=False,
-    )

api/configs/middleware/vdb/oracle_config.py

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class OracleConfig(BaseSettings):
-    """
-    Configuration settings for Oracle database
-    """
-
-    ORACLE_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the Oracle database server (e.g., 'localhost' or 'oracle.example.com')",
-        default=None,
-    )
-
-    ORACLE_PORT: PositiveInt = Field(
-        description="Port number on which the Oracle database server is listening (default is 1521)",
-        default=1521,
-    )
-
-    ORACLE_USER: Optional[str] = Field(
-        description="Username for authenticating with the Oracle database",
-        default=None,
-    )
-
-    ORACLE_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the Oracle database",
-        default=None,
-    )
-
-    ORACLE_DATABASE: Optional[str] = Field(
-        description="Name of the Oracle database or service to connect to (e.g., 'ORCL' or 'pdborcl')",
-        default=None,
-    )

api/configs/middleware/vdb/pgvector_config.py

@@ -1,45 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class PGVectorConfig(BaseSettings):
-    """
-    Configuration settings for PGVector (PostgreSQL with vector extension)
-    """
-
-    PGVECTOR_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the PostgreSQL server with PGVector extension (e.g., 'localhost')",
-        default=None,
-    )
-
-    PGVECTOR_PORT: PositiveInt = Field(
-        description="Port number on which the PostgreSQL server is listening (default is 5433)",
-        default=5433,
-    )
-
-    PGVECTOR_USER: Optional[str] = Field(
-        description="Username for authenticating with the PostgreSQL database",
-        default=None,
-    )
-
-    PGVECTOR_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the PostgreSQL database",
-        default=None,
-    )
-
-    PGVECTOR_DATABASE: Optional[str] = Field(
-        description="Name of the PostgreSQL database to connect to",
-        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

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class PGVectoRSConfig(BaseSettings):
-    """
-    Configuration settings for PGVecto.RS (Rust-based vector extension for PostgreSQL)
-    """
-
-    PGVECTO_RS_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the PostgreSQL server with PGVecto.RS extension (e.g., 'localhost')",
-        default=None,
-    )
-
-    PGVECTO_RS_PORT: PositiveInt = Field(
-        description="Port number on which the PostgreSQL server with PGVecto.RS is listening (default is 5431)",
-        default=5431,
-    )
-
-    PGVECTO_RS_USER: Optional[str] = Field(
-        description="Username for authenticating with the PostgreSQL database using PGVecto.RS",
-        default=None,
-    )
-
-    PGVECTO_RS_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the PostgreSQL database using PGVecto.RS",
-        default=None,
-    )
-
-    PGVECTO_RS_DATABASE: Optional[str] = Field(
-        description="Name of the PostgreSQL database with PGVecto.RS extension to connect to",
-        default=None,
-    )

api/configs/middleware/vdb/qdrant_config.py

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, NonNegativeInt, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class QdrantConfig(BaseSettings):
-    """
-    Configuration settings for Qdrant vector database
-    """
-
-    QDRANT_URL: Optional[str] = Field(
-        description="URL of the Qdrant server (e.g., 'http://localhost:6333' or 'https://qdrant.example.com')",
-        default=None,
-    )
-
-    QDRANT_API_KEY: Optional[str] = Field(
-        description="API key for authenticating with the Qdrant server",
-        default=None,
-    )
-
-    QDRANT_CLIENT_TIMEOUT: NonNegativeInt = Field(
-        description="Timeout in seconds for Qdrant client operations (default is 20 seconds)",
-        default=20,
-    )
-
-    QDRANT_GRPC_ENABLED: bool = Field(
-        description="Whether to enable gRPC support for Qdrant connection (True for gRPC, False for HTTP)",
-        default=False,
-    )
-
-    QDRANT_GRPC_PORT: PositiveInt = Field(
-        description="Port number for gRPC connection to Qdrant server (default is 6334)",
-        default=6334,
-    )

api/configs/middleware/vdb/relyt_config.py

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class RelytConfig(BaseSettings):
-    """
-    Configuration settings for Relyt database
-    """
-
-    RELYT_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the Relyt server (e.g., 'localhost' or 'relyt.example.com')",
-        default=None,
-    )
-
-    RELYT_PORT: PositiveInt = Field(
-        description="Port number on which the Relyt server is listening (default is 9200)",
-        default=9200,
-    )
-
-    RELYT_USER: Optional[str] = Field(
-        description="Username for authenticating with the Relyt database",
-        default=None,
-    )
-
-    RELYT_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the Relyt database",
-        default=None,
-    )
-
-    RELYT_DATABASE: Optional[str] = Field(
-        description="Name of the Relyt database to connect to (default is 'default')",
-        default="default",
-    )

api/configs/middleware/vdb/tencent_vector_config.py

@@ -1,50 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, NonNegativeInt, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class TencentVectorDBConfig(BaseSettings):
-    """
-    Configuration settings for Tencent Vector Database
-    """
-
-    TENCENT_VECTOR_DB_URL: Optional[str] = Field(
-        description="URL of the Tencent Vector Database service (e.g., 'https://vectordb.tencentcloudapi.com')",
-        default=None,
-    )
-
-    TENCENT_VECTOR_DB_API_KEY: Optional[str] = Field(
-        description="API key for authenticating with the Tencent Vector Database service",
-        default=None,
-    )
-
-    TENCENT_VECTOR_DB_TIMEOUT: PositiveInt = Field(
-        description="Timeout in seconds for Tencent Vector Database operations (default is 30 seconds)",
-        default=30,
-    )
-
-    TENCENT_VECTOR_DB_USERNAME: Optional[str] = Field(
-        description="Username for authenticating with the Tencent Vector Database (if required)",
-        default=None,
-    )
-
-    TENCENT_VECTOR_DB_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the Tencent Vector Database (if required)",
-        default=None,
-    )
-
-    TENCENT_VECTOR_DB_SHARD: PositiveInt = Field(
-        description="Number of shards for the Tencent Vector Database (default is 1)",
-        default=1,
-    )
-
-    TENCENT_VECTOR_DB_REPLICAS: NonNegativeInt = Field(
-        description="Number of replicas for the Tencent Vector Database (default is 2)",
-        default=2,
-    )
-
-    TENCENT_VECTOR_DB_DATABASE: Optional[str] = Field(
-        description="Name of the specific Tencent Vector Database to connect to",
-        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

@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class TiDBVectorConfig(BaseSettings):
-    """
-    Configuration settings for TiDB Vector database
-    """
-
-    TIDB_VECTOR_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the TiDB Vector server (e.g., 'localhost' or 'tidb.example.com')",
-        default=None,
-    )
-
-    TIDB_VECTOR_PORT: Optional[PositiveInt] = Field(
-        description="Port number on which the TiDB Vector server is listening (default is 4000)",
-        default=4000,
-    )
-
-    TIDB_VECTOR_USER: Optional[str] = Field(
-        description="Username for authenticating with the TiDB Vector database",
-        default=None,
-    )
-
-    TIDB_VECTOR_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the TiDB Vector database",
-        default=None,
-    )
-
-    TIDB_VECTOR_DATABASE: Optional[str] = Field(
-        description="Name of the TiDB Vector database to connect to",
-        default=None,
-    )