fix: agent parameter parsing error

fix: agent parallel wrong
Merge branch 'plugins/beta' into dev/plugin-deploy
2025-02-11 15:59:06 +08:00 · 2025-02-11 09:23:07 +08:00 · 2025-02-10 21:13:59 +08:00 · 2025-02-10 21:13:28 +08:00 · 2025-02-10 16:05:05 +08:00 · 2025-02-10 14:24:48 +08:00
4629 changed files with 89576 additions and 291381 deletions
@@ -1,19 +0,0 @@
-{
-    "permissions": {
-      "allow": [],
-      "deny": []
-    },
-    "env": {
-      "__comment": "Environment variables for MCP servers. Override in .claude/settings.local.json with actual values.",
-      "GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
-    },
-    "enabledMcpjsonServers": [
-      "context7",
-      "sequential-thinking",
-      "github",
-      "fetch",
-      "playwright",
-      "ide"
-    ],
-    "enableAllProjectMcpServers": true
-  }
@@ -1,4 +1,5 @@
 FROM mcr.microsoft.com/devcontainers/python:3.12

-RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
-     && apt-get -y install libgmp-dev libmpfr-dev libmpc-dev
+# [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>
@@ -1,26 +1,23 @@
 # Development with devcontainer
-
 This project includes a devcontainer configuration that allows you to open the project in a container with a fully configured development environment.
 Both frontend and backend environments are initialized when the container is started.
-
 ## GitHub Codespaces
-
 [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/langgenius/dify)

 you can simply click the button above to open this project in GitHub Codespaces.

 For more info, check out the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace).

-## VS Code Dev Containers

+## VS Code Dev Containers
 [![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/langgenius/dify)

 if you have VS Code installed, you can click the button above to open this project in VS Code Dev Containers.

 You can learn more in the [Dev Containers documentation](https://code.visualstudio.com/docs/devcontainers/containers).

-## Pros of Devcontainer

+## Pros of Devcontainer
 Unified Development Environment: By using devcontainers, you can ensure that all developers are developing in the same environment, reducing the occurrence of "it works on my machine" type of issues.

 Quick Start: New developers can set up their development environment in a few simple steps, without spending a lot of time on environment configuration.
@@ -28,15 +25,13 @@ Quick Start: New developers can set up their development environment in a few si
 Isolation: Devcontainers isolate your project from your host operating system, reducing the chance of OS updates or other application installations impacting the development environment.

 ## Cons of Devcontainer
-
 Learning Curve: For developers unfamiliar with Docker and VS Code, using devcontainers may be somewhat complex.

 Performance Impact: While usually minimal, programs running inside a devcontainer may be slightly slower than those running directly on the host.

 ## Troubleshooting
-
 if you see such error message when you open this project in codespaces:
 ![Alt text](troubleshooting.png)

 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)
+The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)
@@ -2,7 +2,7 @@
 // README at: https://github.com/devcontainers/templates/tree/main/src/anaconda
 {
 	"name": "Python 3.12",
-	"build": {
+	"build": { 
 		"context": "..",
 		"dockerfile": "Dockerfile"
 	},
@@ -1,3 +1,3 @@
 This file copied into the container along with environment.yml* from the parent
-folder. This file is included to prevents the Dockerfile COPY instruction from
-failing if no environment.yml is found.
+folder. This file is included to prevents the Dockerfile COPY instruction from 
+failing if no environment.yml is found.
@@ -1,15 +1,13 @@
 #!/bin/bash

-corepack enable
+npm add -g pnpm@9.12.2
 cd web && pnpm install
-pipx install uv
+pipx install poetry

-echo 'alias start-api="cd /workspaces/dify/api && uv run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
-echo 'alias start-worker="cd /workspaces/dify/api && uv run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage"' >> ~/.bashrc
+echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
+echo 'alias start-worker="cd /workspaces/dify/api && poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
 echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc
-echo 'alias start-web-prod="cd /workspaces/dify/web && pnpm build && pnpm start"' >> ~/.bashrc
-echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env up -d"' >> ~/.bashrc
-echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down"' >> ~/.bashrc
+echo 'alias start-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
-
@@ -1,3 +1,3 @@
 #!/bin/bash

-cd api && uv sync
+cd api && poetry install
@@ -1,5 +1,5 @@
 # Ensure that .sh scripts use LF as line separator, even if they are checked out
-# to Windows(NTFS) file-system, by a user of Docker for Windows.
+# to Windows(NTFS) file-system, by a user of Docker for Window. 
 # These .sh scripts will be run from the Container after `docker compose up -d`.
 # If they appear to be CRLF style, Dash from the Container will fail to execute
 # them.
@@ -17,25 +17,27 @@ diverse, inclusive, and healthy community.
 Examples of behavior that contributes to a positive environment for our
 community include:

- Demonstrating empathy and kindness toward other people
- Being respectful of differing opinions, viewpoints, and experiences
- Giving and gracefully accepting constructive feedback
- Accepting responsibility and apologizing to those affected by our mistakes,
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
  and learning from the experience
- Focusing on what is best not just for us as individuals, but for the
+* Focusing on what is best not just for us as individuals, but for the
  overall community

 Examples of unacceptable behavior include:

- The use of sexualized language or imagery, and sexual attention or
+* The use of sexualized language or imagery, and sexual attention or
  advances of any kind
- Trolling, insulting or derogatory comments, and personal or political attacks
- Public or private harassment
- Publishing others' private information, such as a physical or email
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
  address, without their explicit permission
- Other conduct which could reasonably be considered inappropriate in a
+* Other conduct which could reasonably be considered inappropriate in a
  professional setting

 ## Language Policy

 To facilitate clear and effective communication, all discussions, comments, documentation, and pull requests in this project should be conducted in English. This ensures that all contributors can participate and collaborate effectively.
+
+
@@ -9,7 +9,7 @@ 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！:)"
+        - 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
@@ -9,7 +9,7 @@ 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！:)"
+        - 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
@@ -9,7 +9,7 @@ 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！:)"
+        - 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
@@ -8,15 +8,13 @@ body:
      label: Self Checks
      description: "To make sure we get to you in time, please check the following :)"
      options:
-        - label: I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
-          required: true
        - 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, otherwise it will be closed.
+        - 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: 【中文用户 & Non English User】请使用英语提交，否则会被关闭 ：）
+        - 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
@@ -44,22 +42,20 @@ body:
    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.
-      placeholder: Having detailed steps helps us reproduce the bug. If you have logs, please use fenced code blocks (triple backticks ```) to format them.
+      placeholder: Having detailed steps helps us reproduce the bug.
    validations:
      required: true

  - type: textarea
    attributes:
      label: ✔️ Expected Behavior
-      description: Describe what you expected to happen.
-      placeholder: What were you expecting? Please do not copy and paste the steps to reproduce here.
+      placeholder: What were you expecting?
    validations:
-      required: true
+      required: false

  - type: textarea
    attributes:
      label: ❌ Actual Behavior
-      description: Describe what actually happened.
-      placeholder: What happened instead? Please do not copy and paste the steps to reproduce here.
+      placeholder: What happened instead?
    validations:
      required: false
@@ -1,11 +1,5 @@
 blank_issues_enabled: false
 contact_links:
-  - name: "\U0001F4A1 Model Providers & Plugins"
-    url: "https://github.com/langgenius/dify-official-plugins/issues/new/choose"
-    about: Report issues with official plugins or model providers, you will need to provide the plugin version and other relevant details.
-  - name: "\U0001F4AC Documentation Issues"
-    url: "https://github.com/langgenius/dify-docs/issues/new"
-    about: Report issues with the documentation, such as typos, outdated information, or missing content. Please provide the specific section and details of the issue.
  - name: "\U0001F4E7 Discussions"
    url: https://github.com/langgenius/dify/discussions/categories/general
-    about: General discussions and seek help from the community
+    about: General discussions and request help from the community
@@ -0,0 +1,24 @@
+name: "📚 Documentation Issue"
+description: Report issues in our documentation
+labels:
+  - documentation
+body:
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
+          required: true
+        - label: I confirm that I am using English to submit report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "[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: Provide a description of requested docs changes
+      placeholder: Briefly describe which document needs to be corrected and why.
+    validations:
+      required: true
@@ -8,11 +8,11 @@ body:
      label: Self Checks
      description: "To make sure we get to you in time, please check the following :)"
      options:
-        - label: I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
-          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, otherwise it will be closed.
+        - 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
@@ -1,44 +0,0 @@
-name: "✨ Refactor"
-description: Refactor existing code for improved readability and maintainability.
-title: "[Chore/Refactor] "
-labels:
-  - refactor
-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 read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
-          required: true
-        - label: This is only for refactoring, 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, otherwise it will be closed.
-          required: true
-        - label: 【中文用户 & Non English User】请使用英语提交，否则会被关闭 ：）
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
-          required: true
-  - type: textarea
-    id: description
-    attributes:
-      label: Description
-      placeholder: "Describe the refactor you are proposing."
-    validations:
-      required: true
-  - type: textarea
-    id: motivation
-    attributes:
-      label: Motivation
-      placeholder: "Explain why this refactor is necessary."
-    validations:
-      required: false
-  - type: textarea
-    id: additional-context
-    attributes:
-      label: Additional Context
-      placeholder: "Add any other context or screenshots about the request here."
-    validations:
-      required: false
@@ -1,13 +0,0 @@
-name: "👾 Tracker"
-description: For inner usages, please do not use this template.
-title: "[Tracker] "
-labels:
-  - tracker
-body:
-  - type: textarea
-    id: content
-    attributes:
-      label: Blockers
-      placeholder: "- [ ] ..."
-    validations:
-      required: true
@@ -0,0 +1,55 @@
+name: "🌐 Localization/Translation issue"
+description: Report incorrect translations. [please use English :）]
+labels:
+  - translation
+body:
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
+          required: true
+        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "[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: input
+    attributes:
+      label: Dify version
+      description: Hover over system tray icon or look at Settings
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: Utility with translation issue
+      placeholder: Some area
+      description: Please input here the utility with the translation issue
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: 🌐 Language affected
+      placeholder: "German"
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ❌ Actual phrase(s)
+      placeholder: What is there? Please include a screenshot as that is extremely helpful.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ✔️ Expected phrase(s)
+      placeholder: What was expected?
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ℹ Why is the current translation wrong
+      placeholder: Why do you feel this is incorrect?
+    validations:
+      required: true
@@ -0,0 +1,36 @@
+name: Setup Poetry and Python
+
+inputs:
+  python-version:
+    description: Python version to use and the Poetry installed with
+    required: true
+    default: '3.11'
+  poetry-version:
+    description: Poetry version to set up
+    required: true
+    default: '2.0.1'
+  poetry-lockfile:
+    description: Path to the Poetry lockfile to restore cache from
+    required: true
+    default: ''
+
+runs:
+  using: composite
+  steps:
+    - name: Set up Python ${{ inputs.python-version }}
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ inputs.python-version }}
+        cache: pip
+
+    - name: Install Poetry
+      shell: bash
+      run: pip install poetry==${{ inputs.poetry-version }}
+
+    - name: Restore Poetry cache
+      if: ${{ inputs.poetry-lockfile != '' }}
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ inputs.python-version }}
+        cache: poetry
+        cache-dependency-path: ${{ inputs.poetry-lockfile }}
@@ -1,22 +0,0 @@
-{
-    "Verbose": false,
-    "Debug": false,
-    "IgnoreDefaults": false,
-    "SpacesAfterTabs": false,
-    "NoColor": false,
-    "Exclude": [
-        "^web/public/vs/",
-        "^web/public/pdf.worker.min.mjs$",
-        "web/app/components/base/icons/src/vender/"
-    ],
-    "AllowedContentTypes": [],
-    "PassedFiles": [],
-    "Disable": {
-        "EndOfLine": false,
-        "Indentation": false,
-        "IndentSize": true,
-        "InsertFinalNewline": false,
-        "TrimTrailingWhitespace": false,
-        "MaxLineLength": false
-    }
-}
@@ -1,23 +1,25 @@
-> [!IMPORTANT]
->
-> 1. Make sure you have read our [contribution guidelines](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)
-> 1. Ensure there is an associated issue and you have been assigned to it
-> 1. Use the correct syntax to link this PR: `Fixes #<issue number>`.
+# Summary

-## Summary
+Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.

-<!-- Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change. -->
+> [!Tip]
+> Close issue syntax: `Fixes #<issue number>` or `Resolves #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.

-## Screenshots
+
+# Screenshots

 | Before | After |
 |--------|-------|
-| ... | ... |
+| ...    | ...   |

-## Checklist
+# Checklist
+
+> [!IMPORTANT]  
+> Please review the checklist below before submitting your pull request.

 - [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
 - [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
 - [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
 - [x] I've updated the documentation accordingly.
 - [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
+
@@ -1,7 +1,14 @@
 name: Run Pytest

 on:
-  workflow_call:
+  pull_request:
+    branches:
+      - main
+      - plugins/beta
+    paths:
+      - api/**
+      - docker/**
+      - .github/workflows/api-tests.yml

 concurrency:
  group: api-tests-${{ github.head_ref || github.run_id }}
@@ -11,9 +18,6 @@ jobs:
  test:
    name: API Tests
    runs-on: ubuntu-latest
-    defaults:
-      run:
-        shell: bash
    strategy:
      matrix:
        python-version:
@@ -23,57 +27,33 @@ jobs:
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
-        with:
-          persist-credentials: false

-      - name: Setup UV and Python
-        uses: astral-sh/setup-uv@v6
+      - name: Setup Poetry and Python ${{ matrix.python-version }}
+        uses: ./.github/actions/setup-poetry
        with:
-          enable-cache: true
          python-version: ${{ matrix.python-version }}
-          cache-dependency-glob: api/uv.lock
+          poetry-lockfile: api/poetry.lock

-      - name: Check UV lockfile
-        run: uv lock --project api --check
+      - name: Check Poetry lockfile
+        run: |
+          poetry check -C api --lock
+          poetry show -C api

      - name: Install dependencies
-        run: uv sync --project api --dev
+        run: poetry install -C api --with dev
+
+      - name: Check dependencies in pyproject.toml
+        run: poetry run -P api bash dev/pytest/pytest_artifacts.sh

      - name: Run Unit tests
-        run: |
-          uv run --project api bash dev/pytest/pytest_unit_tests.sh
-      - name: Run ty check
-        run: |
-          cd api
-          uv add --dev ty
-          uv run ty check || true
-      - name: Run pyrefly check
-        run: |
-          cd api
-          uv add --dev pyrefly
-          uv run pyrefly check || true
-      - name: Coverage Summary
-        run: |
-          set -x
-          # Extract coverage percentage and create a summary
-          TOTAL_COVERAGE=$(python -c 'import json; print(json.load(open("coverage.json"))["totals"]["percent_covered_display"])')
-
-          # Create a detailed coverage summary
-          echo "### Test Coverage Summary :test_tube:" >> $GITHUB_STEP_SUMMARY
-          echo "Total Coverage: ${TOTAL_COVERAGE}%" >> $GITHUB_STEP_SUMMARY
-          uv run --project api coverage report --format=markdown >> $GITHUB_STEP_SUMMARY
+        run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh

      - name: Run dify config tests
-        run: uv run --project api dev/pytest/pytest_config_tests.py
+        run: poetry run -P api python dev/pytest/pytest_config_tests.py

-      - name: MyPy Cache
-        uses: actions/cache@v4
-        with:
-          path: api/.mypy_cache
-          key: mypy-${{ matrix.python-version }}-${{ runner.os }}-${{ hashFiles('api/uv.lock') }}
-
-      - name: Run MyPy Checks
-        run: dev/mypy-check
+      - name: Run mypy
+        run: |
+          poetry run -C api python -m mypy --install-types --non-interactive .

      - name: Set up dotenvs
        run: |
@@ -89,20 +69,8 @@ jobs:
          compose-file: |
            docker/docker-compose.middleware.yaml
          services: |
-            db
-            redis
            sandbox
            ssrf_proxy

-      - name: setup test config
-        run: |
-          cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
-
      - name: Run Workflow
-        run: uv run --project api bash dev/pytest/pytest_workflow.sh
-
-      - name: Run Tool
-        run: uv run --project api bash dev/pytest/pytest_tools.sh
-
-      - name: Run TestContainers
-        run: uv run --project api bash dev/pytest/pytest_testcontainers.sh
+        run: poetry run -P api bash dev/pytest/pytest_workflow.sh
@@ -1,33 +0,0 @@
-name: autofix.ci
-on:
-  pull_request:
-    branches: ["main"]
-permissions:
-  contents: read
-
-jobs:
-  autofix:
-    if: github.repository == 'langgenius/dify'
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-
-      # Use uv to ensure we have the same ruff version in CI and locally.
-      - uses: astral-sh/setup-uv@v6
-        with:
-          python-version: "3.12"
-      - run: |
-          cd api
-          uv sync --dev
-          # Fix lint errors
-          uv run ruff check --fix-only .
-          # Format code
-          uv run ruff format .
-      - name: ast-grep
-        run: |
-          uvx --from ast-grep-cli sg --pattern 'db.session.query($WHATEVER).filter($HERE)' --rewrite 'db.session.query($WHATEVER).where($HERE)' -l py --update-all
-          uvx --from ast-grep-cli sg --pattern 'session.query($WHATEVER).filter($HERE)' --rewrite 'session.query($WHATEVER).where($HERE)' -l py --update-all
-      - name: mdformat
-        run: |
-          uvx mdformat .
-      - uses: autofix-ci/action@635ffb0c9798bd160680f18fd73371e355b85f27
@@ -5,11 +5,10 @@ on:
    branches:
      - "main"
      - "deploy/dev"
-      - "deploy/enterprise"
-      - "build/**"
-      - "release/e-*"
-    tags:
-      - "*"
+      - "plugins/beta"
+      - "dev/plugin-deploy"
+  release:
+    types: [published]

 concurrency:
  group: build-push-${{ github.head_ref || github.run_id }}
@@ -82,12 +81,10 @@ jobs:
          cache-to: type=gha,mode=max,scope=${{ matrix.service_name }}

      - name: Export digest
-        env:
-          DIGEST: ${{ steps.build.outputs.digest }}
        run: |
          mkdir -p /tmp/digests
-          sanitized_digest=${DIGEST#sha256:}
-          touch "/tmp/digests/${sanitized_digest}"
+          digest="${{ steps.build.outputs.digest }}"
+          touch "/tmp/digests/${digest#sha256:}"

      - name: Upload digest
        uses: actions/upload-artifact@v4
@@ -137,15 +134,23 @@ jobs:

      - name: Create manifest list and push
        working-directory: /tmp/digests
-        env:
-          IMAGE_NAME: ${{ env[matrix.image_name_env] }}
        run: |
          docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
-            $(printf "$IMAGE_NAME@sha256:%s " *)
+            $(printf '${{ env[matrix.image_name_env] }}@sha256:%s ' *)

      - name: Inspect image
-        env:
-          IMAGE_NAME: ${{ env[matrix.image_name_env] }}
-          IMAGE_VERSION: ${{ steps.meta.outputs.version }}
        run: |
-          docker buildx imagetools inspect "$IMAGE_NAME:$IMAGE_VERSION"
+          docker buildx imagetools inspect ${{ env[matrix.image_name_env] }}:${{ steps.meta.outputs.version }}
+
+      - name: print context var
+        uses: actions/checkout@v4
+
+      - name: deploy pod in plugin env
+        if: github.ref == 'refs/heads/dev/plugin-deploy'
+        env:
+          IMAGEHASH: ${{ github.sha }}
+          APICMD: "${{ secrets.PLUGIN_CD_API_CURL }}"
+          WEBCMD: "${{ secrets.PLUGIN_CD_WEB_CURL }}"
+        run: |
+          bash -c "${APICMD/yourNewVersion/$IMAGEHASH}"
+          bash -c "${WEBCMD/yourNewVersion/$IMAGEHASH}"
@@ -1,7 +1,13 @@
 name: DB Migration Test

 on:
-  workflow_call:
+  pull_request:
+    branches:
+      - main
+      - plugins/beta
+    paths:
+      - api/migrations/**
+      - .github/workflows/db-migration-test.yml

 concurrency:
  group: db-migration-test-${{ github.ref }}
@@ -14,25 +20,14 @@ jobs:
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false

-      - name: Setup UV and Python
-        uses: astral-sh/setup-uv@v6
+      - name: Setup Poetry and Python
+        uses: ./.github/actions/setup-poetry
        with:
-          enable-cache: true
-          python-version: "3.12"
-          cache-dependency-glob: api/uv.lock
+          poetry-lockfile: api/poetry.lock

      - name: Install dependencies
-        run: uv sync --project api
-      - name: Ensure Offline migration are supported
-        run: |
-          # upgrade
-          uv run --directory api flask db upgrade 'base:head' --sql
-          # downgrade
-          uv run --directory api flask db downgrade 'head:base' --sql
+        run: poetry install -C api

      - name: Prepare middleware env
        run: |
@@ -56,4 +51,6 @@ jobs:
      - name: Run DB Migration
        env:
          DEBUG: true
-        run: uv run --directory api flask upgrade-db
+        run: |
+          cd api
+          poetry run python -m flask upgrade-db
@@ -1,29 +0,0 @@
-name: Deploy Enterprise
-
-permissions:
-  contents: read
-
-on:
-  workflow_run:
-    workflows: ["Build and Push API & Web"]
-    branches:
-      - "deploy/enterprise"
-    types:
-      - completed
-
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    if: |
-      github.event.workflow_run.conclusion == 'success' &&
-      github.event.workflow_run.head_branch == 'deploy/enterprise'
-
-    steps:
-      - name: Deploy to server
-        uses: appleboy/ssh-action@v0.1.8
-        with:
-          host: ${{ secrets.ENTERPRISE_SSH_HOST }}
-          username: ${{ secrets.ENTERPRISE_SSH_USER }}
-          password: ${{ secrets.ENTERPRISE_SSH_PASSWORD }}
-          script: |
-            ${{ vars.ENTERPRISE_SSH_SCRIPT || secrets.ENTERPRISE_SSH_SCRIPT }}
@@ -1,13 +1,10 @@
-name: Deploy RAG Dev
-
-permissions:
-  contents: read
+name: Deploy Plugin Dev

 on:
  workflow_run:
    workflows: ["Build and Push API & Web"]
    branches:
-      - "deploy/rag-dev"
+      - "dev/plugin-deploy"
    types:
      - completed

@@ -15,14 +12,12 @@ jobs:
  deploy:
    runs-on: ubuntu-latest
    if: |
-      github.event.workflow_run.conclusion == 'success' &&
-      github.event.workflow_run.head_branch == 'deploy/rag-dev'
+      github.event.workflow_run.conclusion == 'success'
    steps:
      - name: Deploy to server
        uses: appleboy/ssh-action@v0.1.8
        with:
-          host: ${{ secrets.RAG_SSH_HOST }}
+          host: ${{ secrets.SSH_HOST }}
          username: ${{ secrets.SSH_USER }}
          key: ${{ secrets.SSH_PRIVATE_KEY }}
-          script: |
-            ${{ vars.SSH_SCRIPT || secrets.SSH_SCRIPT }}
+          script: "echo 123"
@@ -42,7 +42,6 @@ jobs:
        with:
          push: false
          context: "{{defaultContext}}:${{ matrix.context }}"
-          file: "${{ matrix.file }}"
          platforms: ${{ matrix.platform }}
          cache-from: type=gha
          cache-to: type=gha,mode=max
@@ -9,8 +9,6 @@ yq eval '.services["pgvecto-rs"].ports += ["5431:5432"]' -i docker/docker-compos
 yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-compose.yaml
 yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml
 yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml
-yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml
-yq eval '.services.oceanbase.ports += ["2881:2881"]' -i docker/docker-compose.yaml
-yq eval '.services.opengauss.ports += ["6600:6600"]' -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, opengauss"
+echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase"
@@ -1,78 +0,0 @@
-name: Main CI Pipeline
-
-on:
-  pull_request:
-    branches: ["main"]
-  push:
-    branches: ["main"]
-
-permissions:
-  contents: write
-  pull-requests: write
-  checks: write
-  statuses: write
-
-concurrency:
-  group: main-ci-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  # Check which paths were changed to determine which tests to run
-  check-changes:
-    name: Check Changed Files
-    runs-on: ubuntu-latest
-    outputs:
-      api-changed: ${{ steps.changes.outputs.api }}
-      web-changed: ${{ steps.changes.outputs.web }}
-      vdb-changed: ${{ steps.changes.outputs.vdb }}
-      migration-changed: ${{ steps.changes.outputs.migration }}
-    steps:
-      - uses: actions/checkout@v4
-      - uses: dorny/paths-filter@v3
-        id: changes
-        with:
-          filters: |
-            api:
-              - 'api/**'
-              - 'docker/**'
-              - '.github/workflows/api-tests.yml'
-            web:
-              - 'web/**'
-            vdb:
-              - 'api/core/rag/datasource/**'
-              - 'docker/**'
-              - '.github/workflows/vdb-tests.yml'
-              - 'api/uv.lock'
-              - 'api/pyproject.toml'
-            migration:
-              - 'api/migrations/**'
-              - '.github/workflows/db-migration-test.yml'
-
-  # Run tests in parallel
-  api-tests:
-    name: API Tests
-    needs: check-changes
-    if: needs.check-changes.outputs.api-changed == 'true'
-    uses: ./.github/workflows/api-tests.yml
-
-  web-tests:
-    name: Web Tests
-    needs: check-changes
-    if: needs.check-changes.outputs.web-changed == 'true'
-    uses: ./.github/workflows/web-tests.yml
-
-  style-check:
-    name: Style Check
-    uses: ./.github/workflows/style.yml
-
-  vdb-tests:
-    name: VDB Tests
-    needs: check-changes
-    if: needs.check-changes.outputs.vdb-changed == 'true'
-    uses: ./.github/workflows/vdb-tests.yml
-
-  db-migration-test:
-    name: DB Migration Test
-    needs: check-changes
-    if: needs.check-changes.outputs.migration-changed == 'true'
-    uses: ./.github/workflows/db-migration-test.yml
@@ -1,18 +1,15 @@
 name: Style check

 on:
-  workflow_call:
+  pull_request:
+    branches:
+      - main
+      - plugins/beta

 concurrency:
  group: style-${{ github.head_ref || github.run_id }}
  cancel-in-progress: true

-permissions:
-  checks: write
-  statuses: write
-  contents: read
-
-
 jobs:
  python-style:
    name: Python Style
@@ -21,32 +18,37 @@ jobs:
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
-        with:
-          persist-credentials: false

      - name: Check changed files
        id: changed-files
-        uses: tj-actions/changed-files@v46
+        uses: tj-actions/changed-files@v45
        with:
          files: |
            api/**
            .github/workflows/style.yml

-      - name: Setup UV and Python
+      - name: Setup Poetry and Python
        if: steps.changed-files.outputs.any_changed == 'true'
-        uses: astral-sh/setup-uv@v6
-        with:
-          enable-cache: false
-          python-version: "3.12"
-          cache-dependency-glob: api/uv.lock
+        uses: ./.github/actions/setup-poetry

      - name: Install dependencies
        if: steps.changed-files.outputs.any_changed == 'true'
-        run: uv sync --project api --dev
+        run: poetry install -C api --only lint
+
+      - name: Ruff check
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: |
+          poetry run -C api ruff --version
+          poetry run -C api ruff check ./
+          poetry run -C api ruff format --check ./

      - name: Dotenv check
        if: steps.changed-files.outputs.any_changed == 'true'
-        run: uv run --project api dotenv-linter ./api/.env.example ./web/.env.example
+        run: poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example
+
+      - name: Lint hints
+        if: failure()
+        run: echo "Please run 'dev/reformat' to fix the fixable linting errors."

  web-style:
    name: Web Style
@@ -58,38 +60,34 @@ jobs:
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
-        with:
-          persist-credentials: false

      - name: Check changed files
        id: changed-files
-        uses: tj-actions/changed-files@v46
+        uses: tj-actions/changed-files@v45
        with:
          files: web/**

      - name: Install pnpm
        uses: pnpm/action-setup@v4
        with:
-          package_json_file: web/package.json
+          version: 10
          run_install: false

      - name: Setup NodeJS
        uses: actions/setup-node@v4
        if: steps.changed-files.outputs.any_changed == 'true'
        with:
-          node-version: 22
+          node-version: 20
          cache: pnpm
          cache-dependency-path: ./web/package.json

      - name: Web dependencies
        if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
        run: pnpm install --frozen-lockfile

      - name: Web style check
        if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
-        run: pnpm run lint
+        run: yarn run lint

  docker-compose-template:
    name: Docker Compose Template
@@ -98,12 +96,10 @@ jobs:
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
-        with:
-          persist-credentials: false

      - name: Check changed files
        id: changed-files
-        uses: tj-actions/changed-files@v46
+        uses: tj-actions/changed-files@v45
        with:
          files: |
            docker/generate_docker_compose
@@ -128,13 +124,10 @@ jobs:
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false

      - name: Check changed files
        id: changed-files
-        uses: tj-actions/changed-files@v46
+        uses: tj-actions/changed-files@v45
        with:
          files: |
            **.sh
@@ -142,16 +135,13 @@ jobs:
            **.yml
            **Dockerfile
            dev/**
-            .editorconfig

      - name: Super-linter
-        uses: super-linter/super-linter/slim@v8
+        uses: super-linter/super-linter/slim@v7
        if: steps.changed-files.outputs.any_changed == 'true'
        env:
          BASH_SEVERITY: warning
-          DEFAULT_BRANCH: origin/main
-          EDITORCONFIG_FILE_NAME: editorconfig-checker.json
-          FILTER_REGEX_INCLUDE: pnpm-lock.yaml
+          DEFAULT_BRANCH: plugins/beta
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          IGNORE_GENERATED_FILES: true
          IGNORE_GITIGNORED_FILES: true
@@ -160,6 +150,5 @@ jobs:
          # FIXME: temporarily disabled until api-docker.yaml's run script is fixed for shellcheck
          # VALIDATE_GITHUB_ACTIONS: true
          VALIDATE_DOCKERFILE_HADOLINT: true
-          VALIDATE_EDITORCONFIG: true
          VALIDATE_XML: true
          VALIDATE_YAML: true
@@ -18,7 +18,7 @@ jobs:

    strategy:
      matrix:
-        node-version: [16, 18, 20, 22]
+        node-version: [16, 18, 20]

    defaults:
      run:
@@ -26,8 +26,6 @@ jobs:

    steps:
      - uses: actions/checkout@v4
-        with:
-          persist-credentials: false

      - name: Use Node.js ${{ matrix.node-version }}
        uses: actions/setup-node@v4
@@ -37,7 +35,7 @@ jobs:
          cache-dependency-path: 'pnpm-lock.yaml'

      - name: Install Dependencies
-        run: pnpm install --frozen-lockfile
+        run: pnpm install

      - name: Test
        run: pnpm test
@@ -1,18 +1,13 @@
 name: Check i18n Files and Create PR

 on:
-  push:
+  pull_request:
+    types: [closed]
    branches: [main]
-    paths:
-      - 'web/i18n/en-US/*.ts'
-
-permissions:
-  contents: write
-  pull-requests: write

 jobs:
  check-and-update:
-    if: github.repository == 'langgenius/dify'
+    if: github.event.pull_request.merged == true
    runs-on: ubuntu-latest
    defaults:
      run:
@@ -20,8 +15,7 @@ jobs:
    steps:
      - uses: actions/checkout@v4
        with:
-          fetch-depth: 2
-          token: ${{ secrets.GITHUB_TOKEN }}
+          fetch-depth: 2 # last 2 commits

      - name: Check for file changes in i18n/en-US
        id: check_files
@@ -32,46 +26,28 @@ jobs:
          echo "Changed files: $changed_files"
          if [ -n "$changed_files" ]; then
            echo "FILES_CHANGED=true" >> $GITHUB_ENV
-            file_args=""
-            for file in $changed_files; do
-              filename=$(basename "$file" .ts)
-              file_args="$file_args --file=$filename"
-            done
-            echo "FILE_ARGS=$file_args" >> $GITHUB_ENV
-            echo "File arguments: $file_args"
          else
            echo "FILES_CHANGED=false" >> $GITHUB_ENV
          fi

-      - name: Install pnpm
-        uses: pnpm/action-setup@v4
-        with:
-          package_json_file: web/package.json
-          run_install: false
-
      - name: Set up Node.js
        if: env.FILES_CHANGED == 'true'
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v2
        with:
          node-version: 'lts/*'
-          cache: pnpm
-          cache-dependency-path: ./web/package.json

      - name: Install dependencies
        if: env.FILES_CHANGED == 'true'
-        working-directory: ./web
        run: pnpm install --frozen-lockfile

-      - name: Generate i18n translations
+      - name: Run npm script
        if: env.FILES_CHANGED == 'true'
-        working-directory: ./web
-        run: pnpm run auto-gen-i18n ${{ env.FILE_ARGS }}
+        run: pnpm run auto-gen-i18n

      - name: Create Pull Request
        if: env.FILES_CHANGED == 'true'
        uses: peter-evans/create-pull-request@v6
        with:
-          token: ${{ secrets.GITHUB_TOKEN }}
          commit-message: Update i18n files based on en-US changes
          title: 'chore: translate i18n files'
          body: This PR was automatically created to update i18n files based on changes in en-US locale.
@@ -1,7 +1,15 @@
 name: Run VDB Tests

 on:
-  workflow_call:
+  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 }}
@@ -20,28 +28,20 @@ jobs:
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
-        with:
-          persist-credentials: false

-      - name: Free Disk Space
-        uses: endersonmenezes/free-disk-space@v2
+      - name: Setup Poetry and Python ${{ matrix.python-version }}
+        uses: ./.github/actions/setup-poetry
        with:
-          remove_dotnet: true
-          remove_haskell: true
-          remove_tool_cache: true
-
-      - name: Setup UV and Python
-        uses: astral-sh/setup-uv@v6
-        with:
-          enable-cache: true
          python-version: ${{ matrix.python-version }}
-          cache-dependency-glob: api/uv.lock
+          poetry-lockfile: api/poetry.lock

-      - name: Check UV lockfile
-        run: uv lock --project api --check
+      - name: Check Poetry lockfile
+        run: |
+          poetry check -C api --lock
+          poetry show -C api

      - name: Install dependencies
-        run: uv sync --project api --dev
+        run: poetry install -C api --with dev

      - name: Set up dotenvs
        run: |
@@ -51,15 +51,7 @@ jobs:
      - name: Expose Service Ports
        run: sh .github/workflows/expose_service_ports.sh

-      - name: Set up Vector Store (TiDB)
-        uses: hoverkraft-tech/compose-action@v2.0.2
-        with:
-          compose-file: docker/tidb/docker-compose.yaml
-          services: |
-            tidb
-            tiflash
-
-      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase, OceanBase)
+      - 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: |
@@ -75,16 +67,7 @@ jobs:
            pgvector
            chroma
            elasticsearch
-            oceanbase
-
-      - name: setup test config
-        run: |
-          echo $(pwd)
-          ls -lah .
-          cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
-
-      - name: Check VDB Ready (TiDB)
-        run: uv run --project api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
+            tidb

      - name: Test Vector Stores
-        run: uv run --project api bash dev/pytest/pytest_vdb.sh
+        run: poetry run -P api bash dev/pytest/pytest_vdb.sh
@@ -1,7 +1,11 @@
 name: Web Tests

 on:
-  workflow_call:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - web/**

 concurrency:
  group: web-tests-${{ github.head_ref || github.run_id }}
@@ -18,36 +22,25 @@ jobs:
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
-        with:
-          persist-credentials: false

      - name: Check changed files
        id: changed-files
-        uses: tj-actions/changed-files@v46
+        uses: tj-actions/changed-files@v45
        with:
          files: web/**

-      - name: Install pnpm
-        if: steps.changed-files.outputs.any_changed == 'true'
-        uses: pnpm/action-setup@v4
-        with:
-          package_json_file: web/package.json
-          run_install: false
-
      - name: Setup Node.js
        uses: actions/setup-node@v4
        if: steps.changed-files.outputs.any_changed == 'true'
        with:
-          node-version: 22
+          node-version: 20
          cache: pnpm
          cache-dependency-path: ./web/package.json

      - name: Install dependencies
        if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
        run: pnpm install --frozen-lockfile

      - name: Run tests
        if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
        run: pnpm test
@@ -46,7 +46,6 @@ htmlcov/
 .cache
 nosetests.xml
 coverage.xml
-coverage.json
 *.cover
 *.py,cover
 .hypothesis/
@@ -104,7 +103,6 @@ celerybeat.pid

 # Environments
 .env
-.env-local
 .venv
 env/
 venv/
@@ -165,7 +163,6 @@ docker/volumes/db/data/*
 docker/volumes/redis/data/*
 docker/volumes/weaviate/*
 docker/volumes/qdrant/*
-docker/tidb/volumes/*
 docker/volumes/etcd/*
 docker/volumes/minio/*
 docker/volumes/milvus/*
@@ -179,42 +176,27 @@ docker/volumes/pgvecto_rs/data/*
 docker/volumes/couchbase/*
 docker/volumes/oceanbase/*
 docker/volumes/plugin_daemon/*
-docker/volumes/matrixone/*
 !docker/volumes/oceanbase/init.d

 docker/nginx/conf.d/default.conf
 docker/nginx/ssl/*
 !docker/nginx/ssl/.gitkeep
 docker/middleware.env
-docker/docker-compose.override.yaml

 sdks/python-client/build
 sdks/python-client/dist
 sdks/python-client/dify_client.egg-info

 .vscode/*
-!.vscode/launch.json.template
-!.vscode/README.md
+!.vscode/launch.json
 pyrightconfig.json
 api/.vscode
-# vscode Code History Extension
-.history

 .idea/
+.vscode

 # pnpm
 /.pnpm-store

 # plugin migrate
 plugins.jsonl
-
-# mise
-mise.toml
-
-# Next.js build output
-.next/
-
-# AI Assistant
-.roo/
-api/.env.backup
-/clickzetta
@@ -1,34 +0,0 @@
-{
-    "mcpServers": {
-      "context7": {
-        "type": "http",
-        "url": "https://mcp.context7.com/mcp"
-      },
-      "sequential-thinking": {
-        "type": "stdio",
-        "command": "npx",
-        "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"],
-        "env": {}
-      },
-      "github": {
-        "type": "stdio",
-        "command": "npx",
-        "args": ["-y", "@modelcontextprotocol/server-github"],
-        "env": {
-          "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_PERSONAL_ACCESS_TOKEN}"
-        }
-      },
-      "fetch": {
-        "type": "stdio",
-        "command": "uvx",
-        "args": ["mcp-server-fetch"],
-        "env": {}
-      },
-      "playwright": {
-        "type": "stdio",
-        "command": "npx",
-        "args": ["-y", "@playwright/mcp@latest"],
-        "env": {}
-      }
-    }
-  }
@@ -1,14 +0,0 @@
-# Debugging with VS Code
-
-This `launch.json.template` file provides various debug configurations for the Dify project within VS Code / Cursor. To use these configurations, you should copy the contents of this file into a new file named `launch.json` in the same `.vscode` directory.
-
-## How to Use
-
-1. **Create `launch.json`**: If you don't have one, create a file named `launch.json` inside the `.vscode` directory.
-1. **Copy Content**: Copy the entire content from `launch.json.template` into your newly created `launch.json` file.
-1. **Select Debug Configuration**: Go to the Run and Debug view in VS Code / Cursor (Ctrl+Shift+D or Cmd+Shift+D).
-1. **Start Debugging**: Select the desired configuration from the dropdown menu and click the green play button.
-
-## Tips
-
- If you need to debug with Edge browser instead of Chrome, modify the `serverReadyAction` configuration in the "Next.js: debug full stack" section, change `"debugWithChrome"` to `"debugWithEdge"` to use Microsoft Edge for debugging.
@@ -1,68 +0,0 @@
-{
-    "version": "0.2.0",
-    "configurations": [
-        {
-            "name": "Python: Flask API",
-            "type": "debugpy",
-            "request": "launch",
-            "module": "flask",
-            "env": {
-                "FLASK_APP": "app.py",
-                "FLASK_ENV": "development",
-                "GEVENT_SUPPORT": "True"
-            },
-            "args": [
-                "run",
-                "--host=0.0.0.0",
-                "--port=5001",
-                "--no-debugger",
-                "--no-reload"
-            ],
-            "jinja": true,
-            "justMyCode": true,
-            "cwd": "${workspaceFolder}/api",
-            "python": "${workspaceFolder}/api/.venv/bin/python"
-        },
-        {
-            "name": "Python: Celery Worker (Solo)",
-            "type": "debugpy",
-            "request": "launch",
-            "module": "celery",
-            "env": {
-                "GEVENT_SUPPORT": "True"
-            },
-            "args": [
-                "-A",
-                "app.celery",
-                "worker",
-                "-P",
-                "solo",
-                "-c",
-                "1",
-                "-Q",
-                "dataset,generation,mail,ops_trace",
-                "--loglevel",
-                "INFO"
-            ],
-            "justMyCode": false,
-            "cwd": "${workspaceFolder}/api",
-            "python": "${workspaceFolder}/api/.venv/bin/python"
-        },
-        {
-            "name": "Next.js: debug full stack",
-            "type": "node",
-            "request": "launch",
-            "program": "${workspaceFolder}/web/node_modules/next/dist/bin/next",
-            "runtimeArgs": ["--inspect"],
-            "skipFiles": ["<node_internals>/**"],
-            "serverReadyAction": {
-              "action": "debugWithChrome",
-              "killOnServerStop": true,
-              "pattern": "- Local:.+(https?://.+)",
-              "uriFormat": "%s",
-              "webRoot": "${workspaceFolder}/web"
-            },
-            "cwd": "${workspaceFolder}/web"
-          }
-    ]
-}
@@ -1 +0,0 @@
-CLAUDE.md
@@ -1,89 +0,0 @@
-# CLAUDE.md
-
-This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
-
-## Project Overview
-
-Dify is an open-source platform for developing LLM applications with an intuitive interface combining agentic AI workflows, RAG pipelines, agent capabilities, and model management.
-
-The codebase consists of:
-
- **Backend API** (`/api`): Python Flask application with Domain-Driven Design architecture
- **Frontend Web** (`/web`): Next.js 15 application with TypeScript and React 19
- **Docker deployment** (`/docker`): Containerized deployment configurations
-
-## Development Commands
-
-### Backend (API)
-
-All Python commands must be prefixed with `uv run --project api`:
-
-```bash
-# Start development servers
-./dev/start-api                   # Start API server
-./dev/start-worker                # Start Celery worker
-
-# Run tests
-uv run --project api pytest      # Run all tests
-uv run --project api pytest tests/unit_tests/     # Unit tests only
-uv run --project api pytest tests/integration_tests/  # Integration tests
-
-# Code quality
-./dev/reformat                    # Run all formatters and linters
-uv run --project api ruff check --fix ./    # Fix linting issues
-uv run --project api ruff format ./         # Format code
-uv run --project api mypy .                 # Type checking
-```
-
-### Frontend (Web)
-
-```bash
-cd web
-pnpm lint                         # Run ESLint
-pnpm eslint-fix                   # Fix ESLint issues
-pnpm test                         # Run Jest tests
-```
-
-## Testing Guidelines
-
-### Backend Testing
-
- Use `pytest` for all backend tests
- Write tests first (TDD approach)
- Test structure: Arrange-Act-Assert
-
-## Code Style Requirements
-
-### Python
-
- Use type hints for all functions and class attributes
- No `Any` types unless absolutely necessary
- Implement special methods (`__repr__`, `__str__`) appropriately
-
-### TypeScript/JavaScript
-
- Strict TypeScript configuration
- ESLint with Prettier integration
- Avoid `any` type
-
-## Important Notes
-
- **Environment Variables**: Always use UV for Python commands: `uv run --project api <command>`
- **Comments**: Only write meaningful comments that explain "why", not "what"
- **File Creation**: Always prefer editing existing files over creating new ones
- **Documentation**: Don't create documentation files unless explicitly requested
- **Code Quality**: Always run `./dev/reformat` before committing backend changes
-
-## Common Development Tasks
-
-### Adding a New API Endpoint
-
-1. Create controller in `/api/controllers/`
-1. Add service logic in `/api/services/`
-1. Update routes in controller's `__init__.py`
-1. Write tests in `/api/tests/`
-
-## Project-Specific Conventions
-
- All async tasks use Celery with Redis as broker
- **Internationalization**: Frontend supports multiple languages with English (`web/i18n/en-US/`) as the source. All user-facing text must use i18n keys, no hardcoded strings. Edit corresponding module files in `en-US/` directory for translations.
@@ -10,88 +10,148 @@ In terms of licensing, please take a minute to read our short [License and Contr

 ## Before you jump in

-Looking for something to tackle? Browse our [good first issues](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) and pick one to get started!
-
-Got a cool new model runtime or tool to add? Open a PR in our [plugin repo](https://github.com/langgenius/dify-plugins) and show us what you've built.
-
-Need to update an existing model runtime, tool, or squash some bugs? Head over to our [official plugin repo](https://github.com/langgenius/dify-official-plugins) and make your magic happen!
-
-Join the fun, contribute, and let's build something awesome together! 💡✨
-
-Don't forget to link an existing issue or open a new issue in the PR's description.
-
-### Bug reports
-
-> [!IMPORTANT]
-> Please make sure to include the following information when submitting a bug report:
-
- A clear and descriptive title
- A detailed description of the bug, including any error messages
- Steps to reproduce the bug
- Expected behavior
- **Logs**, if available, for backend issues, this is really important, you can find them in docker-compose logs
- Screenshots or videos, if applicable
-
-How we prioritize:
-
-| Issue Type | Priority |
-| ------------------------------------------------------------ | --------------- |
-| Bugs in core functions (cloud service, cannot login, applications not working, security loopholes) | Critical |
-| Non-critical bugs, performance boosts | Medium Priority |
-| Minor fixes (typos, confusing but working UI) | Low Priority |
+[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:open) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:

 ### Feature requests

-> [!NOTE]
-> Please make sure to include the following information when submitting a feature request:
+* 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.

- A clear and descriptive title
- A detailed description of the feature
- A use case for the feature
- Any other context or screenshots about the feature request
+* If you want to pick one up from the existing issues, simply drop a comment below it saying so.

-How we prioritize:
+  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.

-| Feature Type | Priority |
-| ------------------------------------------------------------ | --------------- |
-| High-Priority Features as being labeled by a team member | High Priority |
-| Popular feature requests from our [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Medium Priority |
-| Non-core features and minor enhancements | Low Priority |
-| Valuable but not immediate | Future-Feature |
+  Depending on whichever area the proposed feature falls under, you might talk to different team members. Here's rundown of the areas each our team members are working on at the moment:
+
+  | Member                                                       | Scope                                                |
+  | ------------------------------------------------------------ | ---------------------------------------------------- |
+  | [@yeuoly](https://github.com/Yeuoly)                         | Architecting Agents                                  |
+  | [@jyong](https://github.com/JohnJyong)                       | RAG pipeline design                                  |
+  | [@GarfieldDai](https://github.com/GarfieldDai)               | Building workflow orchestrations                     |
+  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Making our frontend a breeze to use                  |
+  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Developer experience, points of contact for anything |
+  | [@takatost](https://github.com/takatost)                     | Overall product direction and architecture           |
+
+  How we prioritize:
+
+  | Feature Type                                                 | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | High-Priority Features as being labeled by a team member     | High Priority   |
+  | Popular feature requests from our [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Medium Priority |
+  | Non-core features and minor enhancements                     | Low Priority    |
+  | Valuable but not immediate                                   | Future-Feature  |
+
+### Anything else (e.g. bug report, performance optimization, typo correction)
+
+* Start coding right away.
+
+  How we prioritize:
+
+  | Issue Type                                                   | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | Bugs in core functions (cannot login, applications not working, security loopholes) | Critical        |
+  | Non-critical bugs, performance boosts                        | Medium Priority |
+  | Minor fixes (typos, confusing but working UI)                | Low Priority    |
+
+## Installing
+
+Here are the steps to set up Dify for development:
+
+### 1. Fork this repository
+
+### 2. Clone the repo
+
+ Clone the forked repository from your terminal:
+
+```shell
+git clone git@github.com:<github_username>/dify.git
+```
+
+### 3. Verify dependencies
+
+Dify requires the following dependencies to build, make sure they're installed on your system:
+
+* [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. 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.
+
+### 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.
+
+## Developing
+
+If you are adding a model provider, [this guide](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) is for you.
+
+If you are adding a tool provider to Agent or Workflow, [this guide](./api/core/tools/README.md) is for you.
+
+To help you quickly navigate where your contribution fits, a brief, annotated outline of Dify's backend & frontend is as follows:
+
+### Backend
+
+Dify’s backend is written in Python using [Flask](https://flask.palletsprojects.com/en/3.0.x/). It uses [SQLAlchemy](https://www.sqlalchemy.org/) for ORM and [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) for task queueing. Authorization logic goes via Flask-login.
+
+```text
+[api/]
+├── constants             // Constant settings used throughout code base.
+├── controllers           // API route definitions and request handling logic.           
+├── core                  // Core application orchestration, model integrations, and tools.
+├── docker                // Docker & containerization related configurations.
+├── events                // Event handling and processing
+├── extensions            // Extensions with 3rd party frameworks/platforms.
+├── fields                // field definitions for serialization/marshalling.
+├── libs                  // Reusable libraries and helpers.
+├── migrations            // Scripts for database migration.
+├── models                // Database models & schema definitions.
+├── services              // Specifies business logic.
+├── storage               // Private key storage.      
+├── tasks                 // Handling of async tasks and background jobs.
+└── tests
+```
+
+### Frontend
+
+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
+│   ├── (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
+```

 ## Submitting your PR

-### Pull Request Process
+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).

-1. Fork the repository
-1. Before you draft a PR, please create an issue to discuss the changes you want to make
-1. Create a new branch for your changes
-1. Please add tests for your changes accordingly
-1. Ensure your code passes the existing tests
-1. Please link the issue in the PR description, `fixes #<issue_number>`
-1. Get merged!
-
-### Setup the project
-
-#### Frontend
-
-For setting up the frontend service, please refer to our comprehensive [guide](https://github.com/langgenius/dify/blob/main/web/README.md) in the `web/README.md` file. This document provides detailed instructions to help you set up the frontend environment properly.
-
-#### Backend
-
-For setting up the backend service, kindly refer to our detailed [instructions](https://github.com/langgenius/dify/blob/main/api/README.md) in the `api/README.md` file. This document contains step-by-step guidance to help you get the backend up and running smoothly.
-
-#### Other things to note
-
-We recommend reviewing this document carefully before proceeding with the setup, as it contains essential information about:
-
- Prerequisites and dependencies
- Installation steps
- Configuration details
- Common troubleshooting tips
-
-Feel free to reach out if you encounter any issues during the setup process.
+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 get a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat.
+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.
@@ -1,97 +1,154 @@
-# 贡献指南
+所以你想为 Dify 做贡献 - 这太棒了，我们迫不及待地想看到你的贡献。作为一家人员和资金有限的初创公司，我们有着雄心勃勃的目标，希望设计出最直观的工作流程来构建和管理 LLM 应用程序。社区的任何帮助都是宝贵的。

-非常感谢你考虑为 Dify 做出贡献！作为一家资源有限的创业公司，我们希望打造最直观的 LLM 应用开发和管理工作流程。社区的每一份贡献对我们来说都弥足珍贵。
+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。

-我们需要保持敏捷和快速迭代，同时也希望确保贡献者能获得尽可能流畅的参与体验。这份贡献指南旨在帮助你熟悉代码库和我们的工作方式，让你可以尽快进入有趣的开发环节。
+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。

-本指南和 Dify 一样在不断完善中。如果有任何滞后于项目实际情况的地方，恳请谅解，我们也欢迎任何改进建议。
+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)。

-关于许可证，请花一分钟阅读我们简短的[许可和贡献者协议](./LICENSE)。同时也请遵循社区[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
+## 在开始之前

-## 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：

-想寻找可以着手的任务？浏览我们的[新手友好议题](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22)并选择一个开始！
+### 功能请求：

-有酷炫的新模型运行时或工具要添加？在我们的[插件仓库](https://github.com/langgenius/dify-plugins)开启 PR，展示你的作品。
+* 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。

-需要更新现有模型运行时、工具或修复 bug？前往我们的[官方插件仓库](https://github.com/langgenius/dify-official-plugins)大展身手！
+* 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。

-加入我们，一起贡献，共同打造精彩项目！💡✨
+相关方向的团队成员将参与其中。如果一切顺利，他们将批准您开始编码。在此之前，请不要开始工作，以免我们提出更改导致您的工作付诸东流。

-请记得在 PR 描述中关联现有 issue 或创建新的 issue。
+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：

-### Bug 报告
+  | 团队成员                                                       | 工作范围                                                |
+  | ------------------------------------------------------------ | ---------------------------------------------------- |
+  | [@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           |

-> [!IMPORTANT]
-> 提交 bug 报告时请务必包含以下信息：
+  事项优先级：

- 清晰描述性的标题
- 详细的 bug 描述，包括任何错误信息
- 复现步骤
- 预期行为
- **日志**，如果是后端问题，这点很重要，可以在 docker-compose 日志中找到
- 截图或视频（如果适用）
+  | 功能类型                                                 | 优先级        |
+  | ------------------------------------------------------------ | --------------- |
+  | 被团队成员标记为高优先级的功能    | 高优先级   |
+  | 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  |

-优先级划分：
+### 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。

-| 问题类型 | 优先级 |
-| -------------------------------------------------- | ---------- |
-| 核心功能 bug（云服务、登录失败、应用无法使用、安全漏洞） | 紧急 |
-| 非关键 bug、性能优化 | 中等优先级 |
-| 小修复（拼写错误、界面混乱但可用） | 低优先级 |
+  事项优先级：

-### 功能请求
+  | Issue 类型                                                   | 优先级        |
+  | ------------------------------------------------------------ | --------------- |
+  | 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    |

-> [!NOTE]
-> 提交功能请求时请务必包含以下信息：
+## 安装

- 清晰描述性的标题
- 详细的功能描述
- 功能使用场景
- 其他相关上下文或截图
+以下是设置 Dify 进行开发的步骤：

-优先级划分：
+### 1. Fork 该仓库

-| 功能类型 | 优先级 |
-| -------------------------------------------------- | ---------- |
-| 被团队成员标记为高优先级的功能 | 高优先级 |
-| 来自[社区反馈板](https://github.com/langgenius/dify/discussions/categories/feedbacks)的热门功能请求 | 中等优先级 |
-| 非核心功能和小改进 | 低优先级 |
-| 有价值但非紧急的功能 | 未来特性 |
+### 2. 克隆仓库

-## 提交 PR
+从终端克隆代码仓库：

-### 项目设置
+```
+git clone git@github.com:<github_username>/dify.git
+```

-### PR 提交流程
+### 3. 验证依赖项

-1. Fork 本仓库
-1. 在提交 PR 之前，请先创建 issue 讨论你想要做的修改
-1. 为你的修改创建一个新的分支
-1. 请为你的修改添加相应的测试
-1. 确保你的代码能通过现有的测试
-1. 请在 PR 描述中关联相关 issue，格式为 `fixes #<issue编号>`
-1. 等待合并！
+Dify 依赖以下工具和库：

-#### 前端
+- [Docker](https://www.docker.com/)
+- [Docker Compose](https://docs.docker.com/compose/install/)
+- [Node.js v18.x (LTS)](http://nodejs.org)
+- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
+- [Python](https://www.python.org/) version 3.11.x or 3.12.x

-关于前端服务的设置，请参考 `web/README.md` 文件中的[详细指南](https://github.com/langgenius/dify/blob/main/web/README.md)。该文档提供了帮助你正确配置前端环境的详细说明。
+### 4. 安装

-#### 后端
+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。

-关于后端服务的设置，请参考 `api/README.md` 文件中的[详细说明](https://github.com/langgenius/dify/blob/main/api/README.md)。该文档包含了帮助你顺利运行后端的步骤说明。
+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。

-#### 其他注意事项
+### 5. 在浏览器中访问 Dify

-我们建议在开始设置之前仔细阅读本文档，因为它包含以下重要信息：
+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。

- 前置条件和依赖项
- 安装步骤
- 配置细节
- 常见问题解决方案
+## 开发

-如果在设置过程中遇到任何问题，请随时联系我们。
+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)。
+
+为了帮助您快速了解您的贡献在哪个部分，以下是 Dify 后端和前端的简要注释大纲：
+
+### 后端
+
+Dify 的后端使用 Python 编写，使用 [Flask](https://flask.palletsprojects.com/en/3.0.x/) 框架。它使用 [SQLAlchemy](https://www.sqlalchemy.org/) 作为 ORM，使用 [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) 作为任务队列。授权逻辑通过 Flask-login 进行处理。
+
+```
+[api/]
+├── constants             // 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。
+└── tests
+```
+
+### 前端
+
+该网站使用基于 Typescript 的 [Next.js](https://nextjs.org/) 模板进行引导，并使用 [Tailwind CSS](https://tailwindcss.com/) 进行样式设计。[React-i18next](https://react.i18next.com/) 用于国际化。
+
+```
+[web/]
+├── app                   // 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
+```
+
+## 提交你的 PR
+
+最后，是时候向我们的仓库提交一个拉取请求（PR）了。对于重要的功能，我们首先将它们合并到 `deploy/dev` 分支进行测试，然后再合并到 `main` 分支。如果你遇到合并冲突或者不知道如何提交拉取请求的问题，请查看 [GitHub 的拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)。
+
+就是这样！一旦你的 PR 被合并，你将成为我们 [README](https://github.com/langgenius/dify/blob/main/README.md) 中的贡献者。

 ## 获取帮助

-如果你在贡献过程中遇到困难或有紧急问题，可以通过相关 GitHub issue 向我们提问，或加入我们的 [Discord](https://discord.gg/8Tpq4AcN9c) 进行快速交流。
+如果你在贡献过程中遇到困难或者有任何问题，可以通过相关的 GitHub 问题提出你的疑问，或者加入我们的 [Discord](https://discord.gg/8Tpq4AcN9c) 进行快速交流。
@@ -1,95 +0,0 @@
-# MITWIRKEN
-
-Sie möchten also zu Dify beitragen - das ist großartig, wir können es kaum erwarten zu sehen, was Sie entwickeln. Als Startup mit begrenztem Personal und Finanzierung haben wir große Ambitionen, den intuitivsten Workflow für die Entwicklung und Verwaltung von LLM-Anwendungen zu gestalten. Jede Hilfe aus der Community zählt wirklich.
-
-Wir müssen wendig sein und schnell liefern, aber wir möchten auch sicherstellen, dass Mitwirkende wie Sie eine möglichst reibungslose Erfahrung beim Beitragen haben. Wir haben diesen Leitfaden zusammengestellt, damit Sie sich schnell mit der Codebasis und unserer Arbeitsweise mit Mitwirkenden vertraut machen können.
-
-Dieser Leitfaden ist, wie Dify selbst, in ständiger Entwicklung. Wir sind dankbar für Ihr Verständnis, falls er manchmal hinter dem eigentlichen Projekt zurückbleibt, und begrüßen jedes Feedback zur Verbesserung.
-
-Bitte nehmen Sie sich einen Moment Zeit, um unsere [Lizenz- und Mitwirkungsvereinbarung](./LICENSE) zu lesen. Die Community hält sich außerdem an den [Verhaltenskodex](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
-
-## Bevor Sie loslegen
-
-Suchen Sie nach einer Aufgabe? Durchstöbern Sie unsere [Einsteiger-Issues](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) und wählen Sie eines zum Einstieg!
-
-Haben Sie eine neue Modell-Runtime oder ein Tool hinzuzufügen? Öffnen Sie einen PR in unserem [Plugin-Repository](https://github.com/langgenius/dify-plugins).
-
-Möchten Sie eine bestehende Modell-Runtime oder ein Tool aktualisieren oder Bugs beheben? Besuchen Sie unser [offizielles Plugin-Repository](https://github.com/langgenius/dify-official-plugins)!
-
-Vergessen Sie nicht, in der PR-Beschreibung ein bestehendes Issue zu verlinken oder ein neues zu erstellen.
-
-### Fehlermeldungen
-
-> [!WICHTIG]
-> Bitte stellen Sie sicher, dass Sie folgende Informationen bei der Einreichung eines Fehlerberichts angeben:
-
- Ein klarer und beschreibender Titel
- Eine detaillierte Beschreibung des Fehlers, einschließlich Fehlermeldungen
- Schritte zur Reproduktion des Fehlers
- Erwartetes Verhalten
- **Logs** bei Backend-Problemen (sehr wichtig, zu finden in docker-compose logs)
- Screenshots oder Videos, falls zutreffend
-
-Unsere Priorisierung:
-
-| Fehlertyp | Priorität |
-| ------------------------------------------------------------ | --------------- |
-| Fehler in Kernfunktionen (Cloud-Service, Login nicht möglich, Anwendungen funktionieren nicht, Sicherheitslücken) | Kritisch |
-| Nicht-kritische Fehler, Leistungsverbesserungen | Mittlere Priorität |
-| Kleinere Korrekturen (Tippfehler, verwirrende aber funktionierende UI) | Niedrige Priorität |
-
-### Feature-Anfragen
-
-> [!HINWEIS]
-> Bitte stellen Sie sicher, dass Sie folgende Informationen bei der Einreichung einer Feature-Anfrage angeben:
-
- Ein klarer und beschreibender Titel
- Eine detaillierte Beschreibung des Features
- Ein Anwendungsfall für das Feature
- Zusätzlicher Kontext oder Screenshots zur Feature-Anfrage
-
-Unsere Priorisierung:
-
-| Feature-Typ | Priorität |
-| ------------------------------------------------------------ | --------------- |
-| Hochprioritäre Features (durch Teammitglied gekennzeichnet) | Hohe Priorität |
-| Beliebte Feature-Anfragen aus unserem [Community-Feedback-Board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Mittlere Priorität |
-| Nicht-Kernfunktionen und kleinere Verbesserungen | Niedrige Priorität |
-| Wertvoll, aber nicht dringend | Zukunfts-Feature |
-
-## Einreichen Ihres PRs
-
-### Pull-Request-Prozess
-
-1. Repository forken
-1. Vor dem Erstellen eines PRs bitte ein Issue zur Diskussion der Änderungen erstellen
-1. Einen neuen Branch für Ihre Änderungen erstellen
-1. Tests für Ihre Änderungen hinzufügen
-1. Sicherstellen, dass Ihr Code die bestehenden Tests besteht
-1. Issue in der PR-Beschreibung verlinken (`fixes #<issue_number>`)
-1. Auf den Merge warten!
-
-### Projekt einrichten
-
-#### Frontend
-
-Für die Einrichtung des Frontend-Service folgen Sie bitte unserer ausführlichen [Anleitung](https://github.com/langgenius/dify/blob/main/web/README.md) in der Datei `web/README.md`.
-
-#### Backend
-
-Für die Einrichtung des Backend-Service folgen Sie bitte unseren detaillierten [Anweisungen](https://github.com/langgenius/dify/blob/main/api/README.md) in der Datei `api/README.md`.
-
-#### Weitere Hinweise
-
-Wir empfehlen, dieses Dokument sorgfältig zu lesen, da es wichtige Informationen enthält über:
-
- Voraussetzungen und Abhängigkeiten
- Installationsschritte
- Konfigurationsdetails
- Häufige Problemlösungen
-
-Bei Problemen während der Einrichtung können Sie sich gerne an uns wenden.
-
-## Hilfe bekommen
-
-Wenn Sie beim Mitwirken Fragen haben oder nicht weiterkommen, stellen Sie Ihre Fragen einfach im entsprechenden GitHub Issue oder besuchen Sie unseren [Discord](https://discord.gg/8Tpq4AcN9c) für einen schnellen Austausch.
@@ -1,97 +0,0 @@
-# CONTRIBUIR
-
-Así que estás buscando contribuir a Dify - eso es fantástico, estamos ansiosos por ver lo que haces. Como una startup con personal y financiación limitados, tenemos grandes ambiciones de diseñar el flujo de trabajo más intuitivo para construir y gestionar aplicaciones LLM. Cualquier ayuda de la comunidad cuenta, realmente.
-
-Necesitamos ser ágiles y enviar rápidamente dado donde estamos, pero también queremos asegurarnos de que colaboradores como tú obtengan una experiencia lo más fluida posible al contribuir. Hemos elaborado esta guía de contribución con ese propósito, con el objetivo de familiarizarte con la base de código y cómo trabajamos con los colaboradores, para que puedas pasar rápidamente a la parte divertida.
-
-Esta guía, como Dify mismo, es un trabajo en constante progreso. Agradecemos mucho tu comprensión si a veces se queda atrás del proyecto real, y damos la bienvenida a cualquier comentario para que podamos mejorar.
-
-En términos de licencia, por favor tómate un minuto para leer nuestro breve [Acuerdo de Licencia y Colaborador](./LICENSE). La comunidad también se adhiere al [código de conducta](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
-
-## Antes de empezar
-
-¿Buscas algo en lo que trabajar? Explora nuestros [buenos primeros issues](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) y elige uno para comenzar.
-
-¿Tienes un nuevo modelo o herramienta genial para añadir? Abre un PR en nuestro [repositorio de plugins](https://github.com/langgenius/dify-plugins) y muéstranos lo que has construido.
-
-¿Necesitas actualizar un modelo existente, herramienta o corregir algunos errores? Dirígete a nuestro [repositorio oficial de plugins](https://github.com/langgenius/dify-official-plugins) y haz tu magia.
-
-¡Únete a la diversión, contribuye y construyamos algo increíble juntos! 💡✨
-
-No olvides vincular un issue existente o abrir uno nuevo en la descripción del PR.
-
-### Informes de errores
-
-> [!IMPORTANT]
-> Por favor, asegúrate de incluir la siguiente información al enviar un informe de error:
-
- Un título claro y descriptivo
- Una descripción detallada del error, incluyendo cualquier mensaje de error
- Pasos para reproducir el error
- Comportamiento esperado
- **Logs**, si están disponibles, para problemas del backend, esto es realmente importante, puedes encontrarlos en los logs de docker-compose
- Capturas de pantalla o videos, si es aplicable
-
-Cómo priorizamos:
-
-| Tipo de Issue | Prioridad |
-| ------------------------------------------------------------ | --------------- |
-| Errores en funciones principales (servicio en la nube, no poder iniciar sesión, aplicaciones que no funcionan, fallos de seguridad) | Crítica |
-| Errores no críticos, mejoras de rendimiento | Prioridad Media |
-| Correcciones menores (errores tipográficos, UI confusa pero funcional) | Prioridad Baja |
-
-### Solicitudes de funcionalidades
-
-> [!NOTE]
-> Por favor, asegúrate de incluir la siguiente información al enviar una solicitud de funcionalidad:
-
- Un título claro y descriptivo
- Una descripción detallada de la funcionalidad
- Un caso de uso para la funcionalidad
- Cualquier otro contexto o capturas de pantalla sobre la solicitud de funcionalidad
-
-Cómo priorizamos:
-
-| Tipo de Funcionalidad | Prioridad |
-| ------------------------------------------------------------ | --------------- |
-| Funcionalidades de alta prioridad etiquetadas por un miembro del equipo | Prioridad Alta |
-| Solicitudes populares de funcionalidades de nuestro [tablero de comentarios de la comunidad](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Prioridad Media |
-| Funcionalidades no principales y mejoras menores | Prioridad Baja |
-| Valiosas pero no inmediatas | Futura-Funcionalidad |
-
-## Enviando tu PR
-
-### Proceso de Pull Request
-
-1. Haz un fork del repositorio
-1. Antes de redactar un PR, por favor crea un issue para discutir los cambios que quieres hacer
-1. Crea una nueva rama para tus cambios
-1. Por favor añade pruebas para tus cambios en consecuencia
-1. Asegúrate de que tu código pasa las pruebas existentes
-1. Por favor vincula el issue en la descripción del PR, `fixes #<número_del_issue>`
-1. ¡Fusiona tu código!
-
-### Configuración del proyecto
-
-#### Frontend
-
-Para configurar el servicio frontend, por favor consulta nuestra [guía completa](https://github.com/langgenius/dify/blob/main/web/README.md) en el archivo `web/README.md`. Este documento proporciona instrucciones detalladas para ayudarte a configurar el entorno frontend correctamente.
-
-#### Backend
-
-Para configurar el servicio backend, por favor consulta nuestras [instrucciones detalladas](https://github.com/langgenius/dify/blob/main/api/README.md) en el archivo `api/README.md`. Este documento contiene una guía paso a paso para ayudarte a poner en marcha el backend sin problemas.
-
-#### Otras cosas a tener en cuenta
-
-Recomendamos revisar este documento cuidadosamente antes de proceder con la configuración, ya que contiene información esencial sobre:
-
- Requisitos previos y dependencias
- Pasos de instalación
- Detalles de configuración
- Consejos comunes de solución de problemas
-
-No dudes en contactarnos si encuentras algún problema durante el proceso de configuración.
-
-## Obteniendo Ayuda
-
-Si alguna vez te quedas atascado o tienes una pregunta urgente mientras contribuyes, simplemente envíanos tus consultas a través del issue relacionado de GitHub, o únete a nuestro [Discord](https://discord.gg/8Tpq4AcN9c) para una charla rápida.
@@ -1,97 +0,0 @@
-# CONTRIBUER
-
-Vous cherchez donc à contribuer à Dify - c'est fantastique, nous avons hâte de voir ce que vous allez faire. En tant que startup avec un personnel et un financement limités, nous avons de grandes ambitions pour concevoir le flux de travail le plus intuitif pour construire et gérer des applications LLM. Toute aide de la communauté compte, vraiment.
-
-Nous devons être agiles et livrer rapidement compte tenu de notre position, mais nous voulons aussi nous assurer que des contributeurs comme vous obtiennent une expérience aussi fluide que possible lors de leur contribution. Nous avons élaboré ce guide de contribution dans ce but, visant à vous familiariser avec la base de code et comment nous travaillons avec les contributeurs, afin que vous puissiez rapidement passer à la partie amusante.
-
-Ce guide, comme Dify lui-même, est un travail en constante évolution. Nous apprécions grandement votre compréhension si parfois il est en retard par rapport au projet réel, et nous accueillons tout commentaire pour nous aider à nous améliorer.
-
-En termes de licence, veuillez prendre une minute pour lire notre bref [Accord de Licence et de Contributeur](./LICENSE). La communauté adhère également au [code de conduite](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
-
-## Avant de vous lancer
-
-Vous cherchez quelque chose à réaliser ? Parcourez nos [problèmes pour débutants](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) et choisissez-en un pour commencer !
-
-Vous avez un nouveau modèle ou un nouvel outil à ajouter ? Ouvrez une PR dans notre [dépôt de plugins](https://github.com/langgenius/dify-plugins) et montrez-nous ce que vous avez créé.
-
-Vous devez mettre à jour un modèle existant, un outil ou corriger des bugs ? Rendez-vous sur notre [dépôt officiel de plugins](https://github.com/langgenius/dify-official-plugins) et faites votre magie !
-
-Rejoignez l'aventure, contribuez, et construisons ensemble quelque chose d'extraordinaire ! 💡✨
-
-N'oubliez pas de lier un problème existant ou d'ouvrir un nouveau problème dans la description de votre PR.
-
-### Rapports de bugs
-
-> [!IMPORTANT]
-> Veuillez vous assurer d'inclure les informations suivantes lors de la soumission d'un rapport de bug :
-
- Un titre clair et descriptif
- Une description détaillée du bug, y compris tous les messages d'erreur
- Les étapes pour reproduire le bug
- Comportement attendu
- **Logs**, si disponibles, pour les problèmes de backend, c'est vraiment important, vous pouvez les trouver dans les logs de docker-compose
- Captures d'écran ou vidéos, si applicable
-
-Comment nous priorisons :
-
-| Type de Problème | Priorité |
-| ------------------------------------------------------------ | --------------- |
-| Bugs dans les fonctions principales (service cloud, impossibilité de se connecter, applications qui ne fonctionnent pas, failles de sécurité) | Critique |
-| Bugs non critiques, améliorations de performance | Priorité Moyenne |
-| Corrections mineures (fautes de frappe, UI confuse mais fonctionnelle) | Priorité Basse |
-
-### Demandes de fonctionnalités
-
-> [!NOTE]
-> Veuillez vous assurer d'inclure les informations suivantes lors de la soumission d'une demande de fonctionnalité :
-
- Un titre clair et descriptif
- Une description détaillée de la fonctionnalité
- Un cas d'utilisation pour la fonctionnalité
- Tout autre contexte ou captures d'écran concernant la demande de fonctionnalité
-
-Comment nous priorisons :
-
-| Type de Fonctionnalité | Priorité |
-| ------------------------------------------------------------ | --------------- |
-| Fonctionnalités hautement prioritaires étiquetées par un membre de l'équipe | Priorité Haute |
-| Demandes populaires de fonctionnalités de notre [tableau de feedback communautaire](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Priorité Moyenne |
-| Fonctionnalités non essentielles et améliorations mineures | Priorité Basse |
-| Précieuses mais non immédiates | Fonctionnalité Future |
-
-## Soumettre votre PR
-
-### Processus de Pull Request
-
-1. Forkez le dépôt
-1. Avant de rédiger une PR, veuillez créer un problème pour discuter des changements que vous souhaitez apporter
-1. Créez une nouvelle branche pour vos changements
-1. Veuillez ajouter des tests pour vos changements en conséquence
-1. Assurez-vous que votre code passe les tests existants
-1. Veuillez lier le problème dans la description de la PR, `fixes #<numéro_du_problème>`
-1. Faites fusionner votre code !
-
-### Configuration du projet
-
-#### Frontend
-
-Pour configurer le service frontend, veuillez consulter notre [guide complet](https://github.com/langgenius/dify/blob/main/web/README.md) dans le fichier `web/README.md`. Ce document fournit des instructions détaillées pour vous aider à configurer correctement l'environnement frontend.
-
-#### Backend
-
-Pour configurer le service backend, veuillez consulter nos [instructions détaillées](https://github.com/langgenius/dify/blob/main/api/README.md) dans le fichier `api/README.md`. Ce document contient un guide étape par étape pour vous aider à faire fonctionner le backend sans problème.
-
-#### Autres choses à noter
-
-Nous recommandons de revoir attentivement ce document avant de procéder à la configuration, car il contient des informations essentielles sur :
-
- Prérequis et dépendances
- Étapes d'installation
- Détails de configuration
- Conseils courants de dépannage
-
-N'hésitez pas à nous contacter si vous rencontrez des problèmes pendant le processus de configuration.
-
-## Obtenir de l'aide
-
-Si jamais vous êtes bloqué ou avez une question urgente en contribuant, envoyez-nous simplement vos questions via le problème GitHub concerné, ou rejoignez notre [Discord](https://discord.gg/8Tpq4AcN9c) pour une discussion rapide.
@@ -1,97 +1,160 @@
-# 貢献ガイド
+Dify にコントリビュートしたいとお考えなのですね。それは素晴らしいことです。
+私たちは、LLM アプリケーションの構築と管理のための最も直感的なワークフローを設計するという壮大な野望を持っています。人数も資金も限られている新興企業として、コミュニティからの支援は本当に重要です。

-Difyに貢献しようとお考えですか？素晴らしいですね。私たちは、あなたがどのような貢献をしてくださるのか、とても楽しみにしています。スタートアップとして限られた人員と資金の中で、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大きな目標を持っています。コミュニティからのあらゆる支援が、本当に重要な意味を持ちます。
+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。

-私たちは迅速に開発を進める必要がありますが、同時に貢献者の皆様にとってスムーズな経験を提供したいと考えています。このガイドは、コードベースと私たちの貢献者との協働方法を理解していただき、すぐに楽しい開発に取り掛かれるようにすることを目的としています。
+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。

-このガイドは、Dify自体と同様に、常に進化し続けています。実際のプロジェクトの進行状況と多少のずれが生じる場合もございますが、ご理解いただけますと幸いです。改善のためのフィードバックも歓迎いたします。
+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。

-ライセンスについては、[ライセンスと貢献者同意書](./LICENSE)をご一読ください。また、コミュニティは[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)に従っています。
+## 飛び込む前に

-## 始める前に
-
-取り組むべき課題をお探しですか？[初心者向けの課題](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22)から選んで始めてみましょう！
-
-新しいモデルランタイムやツールを追加したいですか？[プラグインリポジトリ](https://github.com/langgenius/dify-plugins)でPRを作成し、あなたの成果を見せてください。
-
-既存のモデルランタイムやツールの更新、バグ修正をしたいですか？[公式プラグインリポジトリ](https://github.com/langgenius/dify-official-plugins)で作業を進めてください。
-
-参加して、貢献して、一緒に素晴らしいものを作りましょう！💡✨
-
-PRの説明には、既存のイシューへのリンクを含めるか、新しいイシューを作成することを忘れないでください。
-
-### バグ報告
-
-> [!IMPORTANT]
-> バグ報告時には、以下の情報を必ず含めてください：
-
- 明確で分かりやすいタイトル
- エラーメッセージを含む詳細なバグの説明
- バグの再現手順
- 期待される動作
- バックエンドの問題の場合は**ログ**（docker-composeのログで確認可能）が非常に重要です
- 該当する場合はスクリーンショットや動画
-
-優先順位の付け方：
-
-| 問題の種類 | 優先度 |
-| ------------------------------------------------------------ | --------- |
-| コア機能のバグ（クラウドサービス、ログイン不可、アプリケーション不具合、セキュリティ脆弱性） | 最重要 |
-| 重要度の低いバグ、パフォーマンス改善 | 中程度 |
-| 軽微な修正（タイプミス、分かりにくいが動作するUI） | 低 |
+[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

-> [!NOTE]
-> 機能リクエスト時には、以下の情報を必ず含めてください：
+* 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。

- 明確で分かりやすいタイトル
- 機能の詳細な説明
- 使用事例
- その他の文脈や画面のスクリーンショット
+* 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。

-優先順位の付け方：
+  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。

-| 機能の種類 | 優先度 |
-| ------------------------------------------------------------ | --------- |
-| チームメンバーによって高優先度とラベル付けされた機能 | 高 |
-| [コミュニティフィードボード](https://github.com/langgenius/dify/discussions/categories/feedbacks)での人気の機能リクエスト | 中程度 |
-| 非コア機能と軽微な改善 | 低 |
-| 価値はあるが緊急性の低いもの | 将来対応 |
+  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。

-## PRの提出
+| 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 |

-### プルリクエストのプロセス
+優先順位の付け方:

-1. リポジトリをフォークする
-1. PRを作成する前に、変更内容についてイシューで議論する
-1. 変更用の新しいブランチを作成する
-1. 変更に応じたテストを追加する
-1. 既存のテストをパスすることを確認する
-1. PRの説明文にイシューをリンクする（`fixes #<issue_number>`）
-1. マージ完了！
+| 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  |

-### プロジェクトのセットアップ
+### 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)

-#### フロントエンド
+* すぐにコーディングを始めてください

-フロントエンドサービスのセットアップについては、`web/README.md`の[ガイド](https://github.com/langgenius/dify/blob/main/web/README.md)を参照してください。このドキュメントには、フロントエンド環境を適切にセットアップするための詳細な手順が記載されています。
+優先順位の付け方:

-#### バックエンド
+| 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    |

-バックエンドサービスのセットアップについては、`api/README.md`の[手順](https://github.com/langgenius/dify/blob/main/api/README.md)を参照してください。このドキュメントには、バックエンドを正しく動作させるためのステップバイステップのガイドが含まれています。
+## インストール

-#### その他の注意点
+以下の手順で 、Difyのセットアップをしてください。

-セットアップを進める前に、以下の重要な情報が含まれているため、このドキュメントを注意深く確認することをお勧めします：
+### 1. このリポジトリをフォークする

- 前提条件と依存関係
- インストール手順
- 設定の詳細
- 一般的なトラブルシューティングのヒント
+### 2. リポジトリをクローンする

-セットアップ中に問題が発生した場合は、お気軽にお問い合わせください。
+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。

-## サポートを受ける
+```
+git clone git@github.com:<github_username>/dify.git
+```

-貢献中に行き詰まったり、緊急の質問がある場合は、関連するGitHubイシューで質問するか、[Discord](https://discord.gg/8Tpq4AcN9c)で気軽にチャットしてください。
+### 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。
@@ -1,97 +0,0 @@
-# 기여하기
-
-Dify에 기여하려고 하시는군요 - 정말 멋집니다, 당신이 무엇을 할지 기대가 됩니다. 인력과 자금이 제한된 스타트업으로서, 우리는 LLM 애플리케이션을 구축하고 관리하기 위한 가장 직관적인 워크플로우를 설계하고자 하는 큰 야망을 가지고 있습니다. 커뮤니티의 모든 도움은 정말 중요합니다.
-
-우리는 현재 상황에서 민첩하게 빠르게 배포해야 하지만, 동시에 당신과 같은 기여자들이 기여하는 과정에서 최대한 원활한 경험을 얻을 수 있도록 하고 싶습니다. 우리는 이러한 목적으로 이 기여 가이드를 작성했으며, 여러분이 코드베이스와 우리가 기여자들과 어떻게 협업하는지에 대해 친숙해질 수 있도록 돕고, 빠르게 재미있는 부분으로 넘어갈 수 있도록 하고자 합니다.
-
-이 가이드는 Dify 자체와 마찬가지로 끊임없이 진행 중인 작업입니다. 때로는 실제 프로젝트보다 뒤처질 수 있다는 점을 이해해 주시면 감사하겠으며, 개선을 위한 피드백은 언제든지 환영합니다.
-
-라이센스 측면에서, 간략한 [라이센스 및 기여자 동의서](./LICENSE)를 읽어보는 시간을 가져주세요. 커뮤니티는 또한 [행동 강령](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)을 준수합니다.
-
-## 시작하기 전에
-
-처리할 작업을 찾고 계신가요? [초보자를 위한 이슈](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22)를 살펴보고 시작할 것을 선택하세요!
-
-추가할 새로운 모델 런타임이나 도구가 있나요? 우리의 [플러그인 저장소](https://github.com/langgenius/dify-plugins)에 PR을 열고 당신이 만든 것을 보여주세요.
-
-기존 모델 런타임, 도구를 업데이트하거나 버그를 수정해야 하나요? 우리의 [공식 플러그인 저장소](https://github.com/langgenius/dify-official-plugins)로 가서 당신의 마법을 펼치세요!
-
-함께 즐기고, 기여하고, 멋진 것을 함께 만들어 봅시다! 💡✨
-
-PR 설명에 기존 이슈를 연결하거나 새 이슈를 여는 것을 잊지 마세요.
-
-### 버그 보고
-
-> [!IMPORTANT]
-> 버그 보고서를 제출할 때 다음 정보를 포함해 주세요:
-
- 명확하고 설명적인 제목
- 오류 메시지를 포함한 버그에 대한 상세한 설명
- 버그를 재현하는 단계
- 예상되는 동작
- 가능한 경우 **로그**, 백엔드 이슈의 경우 매우 중요합니다. docker-compose 로그에서 찾을 수 있습니다
- 해당되는 경우 스크린샷 또는 비디오
-
-우선순위 결정 방법:
-
-| 이슈 유형 | 우선순위 |
-| ------------------------------------------------------------ | --------------- |
-| 핵심 기능의 버그(클라우드 서비스, 로그인 불가, 애플리케이션 작동 불능, 보안 취약점) | 중대 |
-| 비중요 버그, 성능 향상 | 중간 우선순위 |
-| 사소한 수정(오타, 혼란스럽지만 작동하는 UI) | 낮은 우선순위 |
-
-### 기능 요청
-
-> [!NOTE]
-> 기능 요청을 제출할 때 다음 정보를 포함해 주세요:
-
- 명확하고 설명적인 제목
- 기능에 대한 상세한 설명
- 해당 기능의 사용 사례
- 기능 요청에 관한 기타 컨텍스트 또는 스크린샷
-
-우선순위 결정 방법:
-
-| 기능 유형 | 우선순위 |
-| ------------------------------------------------------------ | --------------- |
-| 팀 구성원에 의해 레이블이 지정된 고우선순위 기능 | 높은 우선순위 |
-| 우리의 [커뮤니티 피드백 보드](https://github.com/langgenius/dify/discussions/categories/feedbacks)에서 인기 있는 기능 요청 | 중간 우선순위 |
-| 비핵심 기능 및 사소한 개선 | 낮은 우선순위 |
-| 가치 있지만 즉시 필요하지 않은 기능 | 미래 기능 |
-
-## PR 제출하기
-
-### Pull Request 프로세스
-
-1. 저장소를 포크하세요
-1. PR을 작성하기 전에, 변경하고자 하는 내용에 대해 논의하기 위한 이슈를 생성해 주세요
-1. 변경 사항을 위한 새 브랜치를 만드세요
-1. 변경 사항에 대한 테스트를 적절히 추가해 주세요
-1. 코드가 기존 테스트를 통과하는지 확인하세요
-1. PR 설명에 이슈를 연결해 주세요, `fixes #<이슈_번호>`
-1. 병합 완료!
-
-### 프로젝트 설정하기
-
-#### 프론트엔드
-
-프론트엔드 서비스를 설정하려면, `web/README.md` 파일에 있는 우리의 [종합 가이드](https://github.com/langgenius/dify/blob/main/web/README.md)를 참조하세요. 이 문서는 프론트엔드 환경을 적절히 설정하는 데 도움이 되는 자세한 지침을 제공합니다.
-
-#### 백엔드
-
-백엔드 서비스를 설정하려면, `api/README.md` 파일에 있는 우리의 [상세 지침](https://github.com/langgenius/dify/blob/main/api/README.md)을 참조하세요. 이 문서는 백엔드를 원활하게 실행하는 데 도움이 되는 단계별 가이드를 포함하고 있습니다.
-
-#### 기타 참고 사항
-
-설정을 진행하기 전에 이 문서를 주의 깊게 검토하는 것을 권장합니다. 다음과 같은 필수 정보가 포함되어 있습니다:
-
- 필수 조건 및 종속성
- 설치 단계
- 구성 세부 정보
- 일반적인 문제 해결 팁
-
-설정 과정에서 문제가 발생하면 언제든지 연락해 주세요.
-
-## 도움 받기
-
-기여하는 동안 막히거나 긴급한 질문이 있으면, 관련 GitHub 이슈를 통해 질문을 보내거나, 빠른 대화를 위해 우리의 [Discord](https://discord.gg/8Tpq4AcN9c)에 참여하세요.
@@ -1,97 +0,0 @@
-# CONTRIBUINDO
-
-Então você está procurando contribuir para o Dify - isso é incrível, mal podemos esperar para ver o que você vai fazer. Como uma startup com equipe e financiamento limitados, temos grandes ambições de projetar o fluxo de trabalho mais intuitivo para construir e gerenciar aplicações LLM. Qualquer ajuda da comunidade conta, verdadeiramente.
-
-Precisamos ser ágeis e entregar rapidamente considerando onde estamos, mas também queremos garantir que colaboradores como você tenham uma experiência o mais tranquila possível ao contribuir. Montamos este guia de contribuição com esse propósito, visando familiarizá-lo com a base de código e como trabalhamos com os colaboradores, para que você possa rapidamente passar para a parte divertida.
-
-Este guia, como o próprio Dify, é um trabalho em constante evolução. Agradecemos muito a sua compreensão se às vezes ele ficar atrasado em relação ao projeto real, e damos as boas-vindas a qualquer feedback para que possamos melhorar.
-
-Em termos de licenciamento, por favor, dedique um minuto para ler nosso breve [Acordo de Licença e Contribuidor](./LICENSE). A comunidade também adere ao [código de conduta](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
-
-## Antes de começar
-
-Procurando algo para resolver? Navegue por nossos [problemas para iniciantes](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) e escolha um para começar!
-
-Tem um novo modelo ou ferramenta para adicionar? Abra um PR em nosso [repositório de plugins](https://github.com/langgenius/dify-plugins) e mostre-nos o que você construiu.
-
-Precisa atualizar um modelo existente, ferramenta ou corrigir alguns bugs? Vá para nosso [repositório oficial de plugins](https://github.com/langgenius/dify-official-plugins) e faça sua mágica!
-
-Junte-se à diversão, contribua e vamos construir algo incrível juntos! 💡✨
-
-Não se esqueça de vincular um problema existente ou abrir um novo problema na descrição do PR.
-
-### Relatórios de bugs
-
-> [!IMPORTANT]
-> Por favor, certifique-se de incluir as seguintes informações ao enviar um relatório de bug:
-
- Um título claro e descritivo
- Uma descrição detalhada do bug, incluindo quaisquer mensagens de erro
- Passos para reproduzir o bug
- Comportamento esperado
- **Logs**, se disponíveis, para problemas de backend, isso é realmente importante, você pode encontrá-los nos logs do docker-compose
- Capturas de tela ou vídeos, se aplicável
-
-Como priorizamos:
-
-| Tipo de Problema | Prioridade |
-| ------------------------------------------------------------ | --------------- |
-| Bugs em funções centrais (serviço em nuvem, não conseguir fazer login, aplicações não funcionando, falhas de segurança) | Crítica |
-| Bugs não críticos, melhorias de desempenho | Prioridade Média |
-| Correções menores (erros de digitação, interface confusa mas funcional) | Prioridade Baixa |
-
-### Solicitações de recursos
-
-> [!NOTE]
-> Por favor, certifique-se de incluir as seguintes informações ao enviar uma solicitação de recurso:
-
- Um título claro e descritivo
- Uma descrição detalhada do recurso
- Um caso de uso para o recurso
- Qualquer outro contexto ou capturas de tela sobre a solicitação de recurso
-
-Como priorizamos:
-
-| Tipo de Recurso | Prioridade |
-| ------------------------------------------------------------ | --------------- |
-| Recursos de alta prioridade conforme rotulado por um membro da equipe | Prioridade Alta |
-| Solicitações populares de recursos do nosso [quadro de feedback da comunidade](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Prioridade Média |
-| Recursos não essenciais e melhorias menores | Prioridade Baixa |
-| Valiosos mas não imediatos | Recurso Futuro |
-
-## Enviando seu PR
-
-### Processo de Pull Request
-
-1. Faça um fork do repositório
-1. Antes de elaborar um PR, por favor crie um problema para discutir as mudanças que você quer fazer
-1. Crie um novo branch para suas alterações
-1. Por favor, adicione testes para suas alterações conforme apropriado
-1. Certifique-se de que seu código passa nos testes existentes
-1. Por favor, vincule o problema na descrição do PR, `fixes #<número_do_problema>`
-1. Faça o merge do seu código!
-
-### Configurando o projeto
-
-#### Frontend
-
-Para configurar o serviço frontend, por favor consulte nosso [guia abrangente](https://github.com/langgenius/dify/blob/main/web/README.md) no arquivo `web/README.md`. Este documento fornece instruções detalhadas para ajudá-lo a configurar o ambiente frontend adequadamente.
-
-#### Backend
-
-Para configurar o serviço backend, por favor consulte nossas [instruções detalhadas](https://github.com/langgenius/dify/blob/main/api/README.md) no arquivo `api/README.md`. Este documento contém um guia passo a passo para ajudá-lo a colocar o backend em funcionamento sem problemas.
-
-#### Outras coisas a observar
-
-Recomendamos revisar este documento cuidadosamente antes de prosseguir com a configuração, pois ele contém informações essenciais sobre:
-
- Pré-requisitos e dependências
- Etapas de instalação
- Detalhes de configuração
- Dicas comuns de solução de problemas
-
-Sinta-se à vontade para entrar em contato se encontrar quaisquer problemas durante o processo de configuração.
-
-## Obtendo Ajuda
-
-Se você ficar preso ou tiver uma dúvida urgente enquanto contribui, simplesmente envie suas perguntas através do problema relacionado no GitHub, ou entre no nosso [Discord](https://discord.gg/8Tpq4AcN9c) para uma conversa rápida.
@@ -1,97 +0,0 @@
-# KATKIDA BULUNMAK
-
-Demek Dify'a katkıda bulunmak istiyorsunuz - bu harika, ne yapacağınızı görmek için sabırsızlanıyoruz. Sınırlı personel ve finansmana sahip bir startup olarak, LLM uygulamaları oluşturmak ve yönetmek için en sezgisel iş akışını tasarlama konusunda büyük hedeflerimiz var. Topluluktan gelen her türlü yardım gerçekten önemli.
-
-Bulunduğumuz noktada çevik olmamız ve hızlı hareket etmemiz gerekiyor, ancak sizin gibi katkıda bulunanların mümkün olduğunca sorunsuz bir deneyim yaşamasını da sağlamak istiyoruz. Bu katkı rehberini bu amaçla hazırladık; sizi kod tabanıyla ve katkıda bulunanlarla nasıl çalıştığımızla tanıştırmayı, böylece hızlıca eğlenceli kısma geçebilmenizi hedefliyoruz.
-
-Bu rehber, Dify'ın kendisi gibi, sürekli gelişen bir çalışmadır. Bazen gerçek projenin gerisinde kalırsa anlayışınız için çok minnettarız ve gelişmemize yardımcı olacak her türlü geri bildirimi memnuniyetle karşılıyoruz.
-
-Lisanslama konusunda, lütfen kısa [Lisans ve Katkıda Bulunan Anlaşmamızı](./LICENSE) okumak için bir dakikanızı ayırın. Topluluk ayrıca [davranış kurallarına](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md) da uyar.
-
-## Başlamadan Önce
-
-Üzerinde çalışacak bir şey mi arıyorsunuz? [İlk katkıda bulunanlar için iyi sorunlarımıza](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) göz atın ve başlamak için birini seçin!
-
-Eklenecek harika bir yeni model runtime'ı veya aracınız mı var? [Eklenti depomuzda](https://github.com/langgenius/dify-plugins) bir PR açın ve ne yaptığınızı bize gösterin.
-
-Mevcut bir model runtime'ını, aracı güncellemek veya bazı hataları düzeltmek mi istiyorsunuz? [Resmi eklenti depomuza](https://github.com/langgenius/dify-official-plugins) gidin ve sihrinizi gösterin!
-
-Eğlenceye katılın, katkıda bulunun ve birlikte harika bir şeyler inşa edelim! 💡✨
-
-PR açıklamasında mevcut bir sorunu bağlamayı veya yeni bir sorun açmayı unutmayın.
-
-### Hata Raporları
-
-> [!IMPORTANT]
-> Lütfen bir hata raporu gönderirken aşağıdaki bilgileri dahil ettiğinizden emin olun:
-
- Net ve açıklayıcı bir başlık
- Hata mesajları dahil hatanın ayrıntılı bir açıklaması
- Hatayı tekrarlamak için adımlar
- Beklenen davranış
- Mümkünse **Loglar**, backend sorunları için, bu gerçekten önemlidir, bunları docker-compose loglarında bulabilirsiniz
- Uygunsa ekran görüntüleri veya videolar
-
-Nasıl önceliklendiriyoruz:
-
-| Sorun Türü | Öncelik |
-| ------------------------------------------------------------ | --------------- |
-| Temel işlevlerdeki hatalar (bulut hizmeti, giriş yapamama, çalışmayan uygulamalar, güvenlik açıkları) | Kritik |
-| Kritik olmayan hatalar, performans artışları | Orta Öncelik |
-| Küçük düzeltmeler (yazım hataları, kafa karıştırıcı ama çalışan UI) | Düşük Öncelik |
-
-### Özellik İstekleri
-
-> [!NOTE]
-> Lütfen bir özellik isteği gönderirken aşağıdaki bilgileri dahil ettiğinizden emin olun:
-
- Net ve açıklayıcı bir başlık
- Özelliğin ayrıntılı bir açıklaması
- Özellik için bir kullanım durumu
- Özellik isteği hakkında diğer bağlamlar veya ekran görüntüleri
-
-Nasıl önceliklendiriyoruz:
-
-| Özellik Türü | Öncelik |
-| ------------------------------------------------------------ | --------------- |
-| Bir ekip üyesi tarafından etiketlenen Yüksek Öncelikli Özellikler | Yüksek Öncelik |
-| [Topluluk geri bildirim panosundan](https://github.com/langgenius/dify/discussions/categories/feedbacks) popüler özellik istekleri | Orta Öncelik |
-| Temel olmayan özellikler ve küçük geliştirmeler | Düşük Öncelik |
-| Değerli ama acil olmayan | Gelecek-Özellik |
-
-## PR'nizi Göndermek
-
-### Pull Request Süreci
-
-1. Depoyu fork edin
-1. Bir PR taslağı oluşturmadan önce, yapmak istediğiniz değişiklikleri tartışmak için lütfen bir sorun oluşturun
-1. Değişiklikleriniz için yeni bir dal oluşturun
-1. Lütfen değişiklikleriniz için uygun testler ekleyin
-1. Kodunuzun mevcut testleri geçtiğinden emin olun
-1. Lütfen PR açıklamasında sorunu bağlayın, `fixes #<sorun_numarası>`
-1. Kodunuzu birleştirin!
-
-### Projeyi Kurma
-
-#### Frontend
-
-Frontend hizmetini kurmak için, lütfen `web/README.md` dosyasındaki kapsamlı [rehberimize](https://github.com/langgenius/dify/blob/main/web/README.md) bakın. Bu belge, frontend ortamını düzgün bir şekilde kurmanıza yardımcı olacak ayrıntılı talimatlar sağlar.
-
-#### Backend
-
-Backend hizmetini kurmak için, lütfen `api/README.md` dosyasındaki detaylı [talimatlarımıza](https://github.com/langgenius/dify/blob/main/api/README.md) bakın. Bu belge, backend'i sorunsuz bir şekilde çalıştırmanıza yardımcı olacak adım adım bir kılavuz içerir.
-
-#### Dikkat Edilecek Diğer Şeyler
-
-Kuruluma geçmeden önce bu belgeyi dikkatlice incelemenizi öneririz, çünkü şunlar hakkında temel bilgiler içerir:
-
- Ön koşullar ve bağımlılıklar
- Kurulum adımları
- Yapılandırma detayları
- Yaygın sorun giderme ipuçları
-
-Kurulum süreci sırasında herhangi bir sorunla karşılaşırsanız bizimle iletişime geçmekten çekinmeyin.
-
-## Yardım Almak
-
-Katkıda bulunurken takılırsanız veya yanıcı bir sorunuz olursa, sorularınızı ilgili GitHub sorunu aracılığıyla bize gönderin veya hızlı bir sohbet için [Discord'umuza](https://discord.gg/8Tpq4AcN9c) katılın.
@@ -1,97 +0,0 @@
-# 參與貢獻
-
-我們很高興你想要為 Dify 做出貢獻！作為一個資源有限的新創團隊，我們期望打造最直觀的 LLM 應用開發與管理工作流程。社群中的每一份貢獻對我們來說都非常重要。
-
-作為一個快速發展的專案，我們需要保持敏捷並快速迭代，同時也希望能為貢獻者提供順暢的參與體驗。我們準備了這份貢獻指南，幫助你了解程式碼庫和我們與貢獻者合作的方式，讓你能夠盡快投入有趣的開發工作。
-
-這份指南與 Dify 一樣，都在持續完善中。如果指南內容有落後於實際專案的情況，還請見諒，也歡迎提供改進建議。
-
-關於授權部分，請花點時間閱讀我們簡短的[授權和貢獻者協議](./LICENSE)。社群也需遵守[行為準則](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
-
-## 開始之前
-
-想找點事做？瀏覽我們的[新手友善議題](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22)並挑選一個開始！
-
-有酷炫的模型執行時期或工具要新增？在我們的[外掛倉庫](https://github.com/langgenius/dify-plugins)開啟 PR 展示你的作品。
-
-需要更新現有的模型執行時期、工具或修復錯誤？前往我們的[官方外掛倉庫](https://github.com/langgenius/dify-official-plugins)開始你的魔法之旅！
-
-加入我們，一起貢獻並打造令人驚艷的作品吧！💡✨
-
-別忘了在 PR 描述中連結現有議題或開啟新議題。
-
-### 錯誤回報
-
-> [!IMPORTANT]\
-> 提交錯誤回報時，請務必包含以下資訊：
-
- 清晰明確的標題
- 詳細的錯誤描述，包含任何錯誤訊息
- 重現錯誤的步驟
- 預期行為
- **日誌**，如果有的話。對後端問題來說這點很重要，你可以在 docker-compose logs 中找到
- 截圖或影片（如適用）
-
-優先順序評估：
-
-| 議題類型 | 優先級 |
-| -------- | ------ |
-| 核心功能錯誤（雲端服務、無法登入、應用程式無法運作、安全漏洞） | 緊急 |
-| 非緊急錯誤、效能優化 | 中等 |
-| 次要修正（拼字錯誤、介面混淆但可運作） | 低 |
-
-### 功能請求
-
-> [!NOTE]\
-> 提交功能請求時，請務必包含以下資訊：
-
- 清晰明確的標題
- 詳細的功能描述
- 功能的使用情境
- 其他相關背景說明或截圖
-
-優先順序評估：
-
-| 功能類型 | 優先級 |
-| -------- | ------ |
-| 團隊成員標記為高優先級的功能 | 高 |
-| 來自[社群回饋板](https://github.com/langgenius/dify/discussions/categories/feedbacks)的熱門功能請求 | 中 |
-| 非核心功能和小幅改進 | 低 |
-| 有價值但非急迫的功能 | 未來功能 |
-
-## 提交 PR
-
-### PR 流程
-
-1. Fork 專案
-1. 在開始撰寫 PR 前，請先建立議題討論你想做的更改
-1. 為你的更改建立新分支
-1. 請為你的更改新增相應的測試
-1. 確保你的程式碼通過現有測試
-1. 請在 PR 描述中連結相關議題，使用 `fixes #<issue_number>`
-1. 等待合併！
-
-### 專案設定
-
-#### 前端
-
-關於前端服務的設定，請參考 `web/README.md` 中的完整[指南](https://github.com/langgenius/dify/blob/main/web/README.md)。此文件提供詳細說明，幫助你正確設定前端環境。
-
-#### 後端
-
-關於後端服務的設定，請參考 `api/README.md` 中的詳細[說明](https://github.com/langgenius/dify/blob/main/api/README.md)。此文件包含逐步指引，幫助你順利啟動後端服務。
-
-#### 其他注意事項
-
-我們建議在開始設定前仔細閱讀此文件，因為它包含以下重要資訊：
-
- 前置需求和相依性
- 安裝步驟
- 設定細節
- 常見問題排解
-
-如果在設定過程中遇到任何問題，歡迎隨時詢問。
-
-## 尋求協助
-
-如果你在貢獻過程中遇到困難或有急切的問題，可以透過相關的 GitHub 議題詢問，或加入我們的 [Discord](https://discord.gg/8Tpq4AcN9c) 進行即時交流。
@@ -1,97 +1,156 @@
-# ĐÓNG GÓP
+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.

-Bạn đang muốn đóng góp cho Dify - thật tuyệt vời, chúng tôi rất mong 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 trong việc 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 có ý nghĩa.
+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.

-Chúng tôi cần phải nhanh nhẹn và triển khai nhanh chóng, nhưng cũng muốn đảm bảo những người đóng góp như bạn có trải nghiệm đóng góp thuận lợi nhất có thể. Chúng tôi đã tạo hướng dẫn đóng góp này nhằm giúp bạn làm quen với codebase và cách chúng tôi làm việc với người đóng góp, để bạn có thể nhanh chóng bắt đầu 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.

-Hướng dẫn này, giống như Dify, đang được phát triển liên tục. Chúng tôi rất cảm kích sự thông cảm của bạn nếu đôi khi nó chưa theo kịp dự án thực tế, và hoan nghênh mọi phản hồi để cải thiện.
-
-Về giấy phép, vui lòng dành chút thời gian đọc [Thỏa thuận Cấp phép và Người đóng góp](./LICENSE) ngắn gọn của chúng tôi. Cộng đồng cũng tuân theo [quy tắc ứng xử](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
+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

-Đang tìm việc để thực hiện? Hãy xem qua [các issue dành cho người mới](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) và chọn một để 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:

-Bạn có một model runtime hoặc công cụ mới thú vị để thêm vào? Mở PR trong [repo plugin](https://github.com/langgenius/dify-plugins) của chúng tôi và cho chúng tôi thấy những gì bạn đã xây dựng.
+### Yêu cầu tính năng:

-Cần cập nhật model runtime, công cụ hiện có hoặc sửa lỗi? Ghé thăm [repo plugin chính thức](https://github.com/langgenius/dify-official-plugins) và thực hiện phép màu của bạn!
+* 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.

-Hãy tham gia, đóng góp và cùng nhau xây dựng điều tuyệt vời! 💡✨
+* 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.

-Đừng quên liên kết đến issue hiện có hoặc mở issue mới trong mô tả PR.
+  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.

-### Báo cáo lỗi
+  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:

-> [!QUAN TRỌNG]\
-> Vui lòng đảm bảo cung cấp các thông tin sau khi gửi báo cáo lỗi:
+  | 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            |

- Tiêu đề rõ ràng và mô tả
- Mô tả chi tiết về lỗi, bao gồm các thông báo lỗi
- Các bước để tái hiện lỗi
- Hành vi mong đợi
- **Log**, nếu có, cho các vấn đề backend, điều này rất quan trọng, bạn có thể tìm thấy chúng trong docker-compose logs
- Ảnh chụp màn hình hoặc video, nếu có thể
+  Cách chúng tôi ưu tiên:

-Cách chúng tôi ưu tiên:
+  | Loại tính năng                                               | Mức độ ưu tiên |
+  | ------------------------------------------------------------ | -------------- |
+  | Tính năng ưu tiên cao được gắn nhãn bởi thành viên 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 |

-| Loại vấn đề | Mức độ ưu tiên |
-| ----------- | -------------- |
-| Lỗi trong các chức năng cốt lõi (dịch vụ đám mây, không thể đăng nhập, ứng dụng không hoạt động, lỗ hổng bảo mật) | Quan trọng |
-| Lỗi không nghiêm trọng, cải thiện hiệu suất | Ưu tiên trung bình |
-| Sửa lỗi nhỏ (lỗi chính tả, UI gây nhầm lẫn nhưng vẫn hoạt động) | Ưu tiên thấp |
+### Những vấn đề khác (ví dụ: báo cáo lỗi, tối ưu hiệu suất, sửa lỗi chính tả):

-### Yêu cầu tính năng
+* Bắt đầu code ngay lập tức.

-> [!LƯU Ý]
-> Vui lòng đảm bảo cung cấp các thông tin sau khi gửi yêu cầu tính năng:
+  Cách chúng tôi ưu tiên:

- Tiêu đề rõ ràng và mô tả
- Mô tả chi tiết về tính năng
- Trường hợp sử dụng cho tính năng
- Bất kỳ ngữ cảnh hoặc ảnh chụp màn hình nào về yêu cầu tính năng
+  | 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   |

-Cách chúng tôi ưu tiên:

-| Loại tính năng | Mức độ ưu tiên |
-| -------------- | -------------- |
-| Tính năng ưu tiên cao được gắn nhãn bởi thành viên nhóm | Ưu tiên cao |
-| Yêu cầu tính năng phổ biến từ [bảng phản hồi cộng đồng](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Ưu tiên trung bình |
-| Tính năng không cốt lõi và cải tiến nhỏ | Ưu tiên thấp |
-| Có giá trị nhưng không cấp bách | Tính năng tương lai |
+## 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

-### Quy trình tạo Pull Request
+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).

-1. Fork repository
-1. Trước khi soạn PR, vui lòng tạo issue để thảo luận về các thay đổi bạn muốn thực hiện
-1. Tạo nhánh mới cho các thay đổi của bạn
-1. Vui lòng thêm test cho các thay đổi tương ứng
-1. Đảm bảo code của bạn vượt qua các test hiện có
-1. Vui lòng liên kết issue trong mô tả PR, `fixes #<số_issue>`
-1. Được merge!
-
-### Thiết lập dự án
-
-#### Frontend
-
-Để thiết lập dịch vụ frontend, vui lòng tham khảo [hướng dẫn](https://github.com/langgenius/dify/blob/main/web/README.md) chi tiết của chúng tôi trong file `web/README.md`. Tài liệu này cung cấp hướng dẫn chi tiết để giúp bạn thiết lập môi trường frontend một cách đúng đắn.
-
-#### Backend
-
-Để thiết lập dịch vụ backend, vui lòng tham khảo [hướng dẫn](https://github.com/langgenius/dify/blob/main/api/README.md) chi tiết của chúng tôi trong file `api/README.md`. Tài liệu này chứa hướng dẫn từng bước để giúp bạn khởi chạy backend một cách suôn sẻ.
-
-#### Các điểm cần lưu ý khác
-
-Chúng tôi khuyến nghị xem xét kỹ tài liệu này trước khi tiến hành thiết lập, vì nó chứa thông tin thiết yếu về:
-
- Điều kiện tiên quyết và dependencies
- Các bước cài đặt
- Chi tiết cấu hình
- Các mẹo xử lý sự cố phổ biến
-
-Đừng ngần ngại liên hệ nếu bạn gặp bất kỳ vấn đề nào trong quá trình thiết lập.
+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 bị mắc kẹt hoặc có câu hỏi cấp bách trong quá trình đóng góp, chỉ cần gửi câu hỏi của bạn thông qua issue GitHub liên quan, hoặc tham gia [Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi để trò chuyện nhanh.
+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.
@@ -1,15 +1,17 @@
 # Open Source License

-Dify is licensed under a modified version of the Apache License 2.0, with the following additional conditions:
+Dify is licensed under the Apache License 2.0, with the following additional conditions:

 1. Dify may be utilized commercially, including as a backend service for other applications or as an application development platform for enterprises. Should the conditions below be met, a commercial license must be obtained from the producer:

-a. Multi-tenant service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment.
+a. Multi-tenant service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment. 
    - Tenant Definition: Within the context of Dify, one tenant corresponds to one workspace. The workspace provides a separated area for each tenant's data and configurations.
-
+    
 b. LOGO and copyright information: In the process of using Dify's frontend, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend.
    - Frontend Definition: For the purposes of this license, the "frontend" of Dify includes all components located in the `web/` directory when running Dify from the raw source code, or the "web" image when running Dify with Docker.

+Please contact business@dify.ai by email to inquire about licensing matters.
+
 2. As a contributor, you should agree that:

 a. The producer can adjust the open-source agreement to be more strict or relaxed as deemed necessary.
@@ -19,4 +21,19 @@ Apart from the specific conditions mentioned above, all other rights and restric

 The interactive design of this product is protected by appearance patent.

-© 2025 LangGenius, Inc.
+© 2024 LangGenius, Inc.
+
+
+----------
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
@@ -1,4 +1,4 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)

 <p align="center">
  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast</a>
@@ -8,7 +8,7 @@
  <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://dify.ai/pricing">Dify edition overview</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Enterprise inquiry</a>
 </p>

 <p align="center">
@@ -40,7 +40,6 @@

 <p align="center">
  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_TW.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
@@ -50,22 +49,20 @@
  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>

-Dify is an open-source platform for developing LLM applications. Its intuitive interface combines agentic AI workflows, RAG pipelines, agent capabilities, model management, observability features, and more—allowing you to quickly move 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. 

 ## Quick start
-
 > Before installing Dify, make sure your machine meets the following minimum system requirements:
->
-> - CPU >= 2 Core
-> - RAM >= 4 GiB
+> 
+>- 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:
+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:

 ```bash
 cd dify
@@ -77,49 +74,54 @@ docker compose up -d
 After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.

 #### Seeking help
-
 Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) if you are still having issues.

 > If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)

 ## Key features
+**1. Workflow**: 
+  Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.

-**1. Workflow**:
-Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.

-**2. Comprehensive model support**:
-Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
+  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.
+**3. Prompt IDE**: 
+  Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app. 

-**5. Agent capabilities**:
-You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
+**4. RAG Pipeline**: 
+  Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.

-**6. LLMOps**:
-Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
+**5. Agent capabilities**: 
+  You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
+
+**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.

-**7. Backend-as-a-Service**:
-All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.

 ## Using Dify

 - **Cloud </br>**
-  We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
+We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.

 - **Self-hosting Dify Community Edition</br>**
-  Quickly get Dify running in your environment with this [starter guide](#quick-start).
-  Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
+Quickly get Dify running in your environment with this [starter guide](#quick-start).
+Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.

 - **Dify for enterprise / organizations</br>**
-  We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) to discuss enterprise needs. </br>
+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.

-  > 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

@@ -127,6 +129,7 @@ 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).
@@ -135,57 +138,39 @@ If you'd like to configure a highly-available setup, there are community-contrib

 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)

 #### Using Terraform for Deployment

 Deploy Dify to Cloud Platform with a single click using [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)

 #### Using AWS CDK for Deployment

 Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)

-##### AWS
-
- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Using Alibaba Cloud Computing Nest
-
-Quickly deploy Dify to Alibaba cloud with [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Using Alibaba Cloud Data Management
-
-One-Click deploy Dify to Alibaba Cloud with [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### Deploy to AKS with Azure Devops Pipeline
-
-One-Click deploy Dify to AKS with [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
+##### AWS 
+- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

 ## Contributing

-For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
 At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.

-> We are looking for contributors to help translate Dify into languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
+
+> We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).

 ## Community & contact

- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
- [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
+* [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**

@@ -197,10 +182,12 @@ At the same time, please consider supporting Dify by sharing it on social media

 [![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, report issues to security@dify.ai, and our team will respond with detailed answer.
+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 licensed under the [Dify Open Source License](LICENSE), based on Apache 2.0 with additional conditions.
+This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.
+
@@ -1,10 +1,10 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![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://dify.ai/pricing">نظرة عامة على منتجات Dify</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">استفسار الشركات (للإنجليزية فقط)</a>
 </p>

 <p align="center">
@@ -45,14 +45,16 @@
  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>

 <div style="text-align: right;">
 مشروع Dify هو منصة تطوير تطبيقات الذكاء الصناعي مفتوحة المصدر. تجمع واجهته البديهية بين سير العمل الذكي بالذكاء الاصطناعي وخط أنابيب RAG وقدرات الوكيل وإدارة النماذج وميزات الملاحظة وأكثر من ذلك، مما يتيح لك الانتقال بسرعة من المرحلة التجريبية إلى الإنتاج. إليك قائمة بالميزات الأساسية:
 </br> </br>

-**1. سير العمل**: قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر.
+**1. سير العمل**:  قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر.
+
+  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).

@@ -67,33 +69,95 @@
 **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.
+نحن نستضيف [خدمة Dify Cloud](https://dify.ai) لأي شخص لتجربتها بدون أي إعدادات. توفر كل قدرات النسخة التي تمت استضافتها ذاتيًا، وتتضمن 200 أمر GPT-4 مجانًا في خطة الصندوق الرملي.

 - **استضافة ذاتية لنسخة المجتمع Dify</br>**
-  ابدأ سريعًا في تشغيل Dify في بيئتك باستخدام \[دليل البدء السريع\](#البدء السريع).
-  استخدم [توثيقنا](https://docs.dify.ai) للمزيد من المراجع والتعليمات الأعمق.
+ابدأ سريعًا في تشغيل Dify في بيئتك باستخدام [دليل البدء السريع](#البدء السريع).
+استخدم [توثيقنا](https://docs.dify.ai) للمزيد من المراجع والتعليمات الأعمق.

 - **مشروع Dify للشركات / المؤسسات</br>**
-  نحن نوفر ميزات إضافية مركزة على الشركات. [جدول اجتماع معنا](https://cal.com/guchenhe/30min) أو [أرسل لنا بريدًا إلكترونيًا](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) لمناقشة احتياجات الشركات. </br>
-
+نحن نوفر ميزات إضافية مركزة على الشركات. [جدول اجتماع معنا](https://cal.com/guchenhe/30min) أو [أرسل لنا بريدًا إلكترونيًا](mailto:business@dify.ai?subject=[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
+> 
+>- معالج >= 2 نواة
+>- ذاكرة وصول عشوائي (RAM) >= 4 جيجابايت

 </br>

@@ -117,50 +181,32 @@ docker compose up -d

 - [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)
- [رسم بياني Helm من قبل @magicsong](https://github.com/magicsong/ai-charts)
 - [ملف YAML من قبل @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [ملف YAML من قبل @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 جديد! ملفات YAML (تدعم Dify v1.6.0) بواسطة @Zhoneym](https://github.com/Zhoneym/DifyAI-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 (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK بواسطة @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### استخدام Alibaba Cloud للنشر
-
-[بسرعة نشر Dify إلى سحابة علي بابا مع عش الحوسبة السحابية علي بابا](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### استخدام Alibaba Cloud Data Management للنشر
-
-انشر Dify على علي بابا كلاود بنقرة واحدة باستخدام [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### استخدام Azure Devops Pipeline للنشر على AKS
-
-انشر Dify على AKS بنقرة واحدة باستخدام [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
+##### AWS 
+- [AWS CDK بواسطة @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

 ## المساهمة

-لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا.
+لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا. 
 في الوقت نفسه، يرجى النظر في دعم Dify عن طريق مشاركته على وسائل التواصل الاجتماعي وفي الفعاليات والمؤتمرات.

-> نحن نبحث عن مساهمين لمساعدة في ترجمة Dify إلى لغات أخرى غير اللغة الصينية المندرين أو الإنجليزية. إذا كنت مهتمًا بالمساعدة، يرجى الاطلاع على [README للترجمة](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) لمزيد من المعلومات، واترك لنا تعليقًا في قناة `global-users` على [خادم المجتمع على Discord](https://discord.gg/8Tpq4AcN9c).
+
+> 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**

@@ -169,27 +215,26 @@ docker compose up -d
 </a>

 ## المجتمع والاتصال
-
- [مناقشة GitHub](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة.
- [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
- [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
+* [مناقشة Github](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة.
+* [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
+* [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.

 ## تاريخ النجمة

 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)

+
 ## الكشف عن الأمان

-لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى <security@dify.ai> وسنقدم لك إجابة أكثر تفصيلاً.
+لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى security@dify.ai وسنقدم لك إجابة أكثر تفصيلاً.

 ## الرخصة

 هذا المستودع متاح تحت [رخصة البرنامج الحر Dify](LICENSE)، والتي تعتبر بشكل أساسي Apache 2.0 مع بعض القيود الإضافية.
-
 ## الكشف عن الأمان

-لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى <security@dify.ai> وسنقدم لك إجابة أكثر تفصيلاً.
+لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى security@dify.ai وسنقدم لك إجابة أكثر تفصيلاً.

 ## الرخصة

@@ -1,206 +0,0 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
-
-<p align="center">
-  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">ডিফাই ওয়ার্কফ্লো ফাইল আপলোড পরিচিতি: গুগল নোটবুক-এলএম পডকাস্ট পুনর্নির্মাণ</a>
-</p>
-
-<p align="center">
-  <a href="https://cloud.dify.ai">ডিফাই ক্লাউড</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">সেল্ফ-হোস্টিং</a> ·
-  <a href="https://docs.dify.ai">ডকুমেন্টেশন</a> ·
-  <a href="https://dify.ai/pricing">Dify পণ্যের রূপভেদ</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white" 
-            alt="join Reddit"></a>
-    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
-        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
-    <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
-</p>
-
-<p align="center">
-  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
-  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
-  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
-</p>
-
-ডিফাই একটি ওপেন-সোর্স LLM অ্যাপ ডেভেলপমেন্ট প্ল্যাটফর্ম। এটি ইন্টুইটিভ ইন্টারফেস, এজেন্টিক AI ওয়ার্কফ্লো, RAG পাইপলাইন, এজেন্ট ক্যাপাবিলিটি, মডেল ম্যানেজমেন্ট, মনিটরিং সুবিধা এবং আরও অনেক কিছু একত্রিত করে, যা দ্রুত প্রোটোটাইপ থেকে প্রোডাকশন পর্যন্ত নিয়ে যেতে সহায়তা করে।
-
-## কুইক স্টার্ট
-
-> ডিফাই ইনস্টল করার আগে, নিশ্চিত করুন যে আপনার মেশিন নিম্নলিখিত ন্যূনতম কনফিগারেশনের প্রয়োজনীয়তা পূরন করে :
->
-> - সিপিউ >= 2 কোর
-> - র‍্যাম >= 4 জিবি
-
-</br>
-
-ডিফাই সার্ভার চালু করার সবচেয়ে সহজ উপায় [docker compose](docker/docker-compose.yaml) মাধ্যমে। নিম্নলিখিত কমান্ডগুলো ব্যবহার করে ডিফাই চালানোর আগে, নিশ্চিত করুন যে আপনার মেশিনে [Docker](https://docs.docker.com/get-docker/) এবং [Docker Compose](https://docs.docker.com/compose/install/) ইনস্টল করা আছে :
-
-```bash
-cd dify
-cd docker
-cp .env.example .env
-docker compose up -d
-```
-
-চালানোর পর, আপনি আপনার ব্রাউজারে [http://localhost/install](http://localhost/install)-এ ডিফাই ড্যাশবোর্ডে অ্যাক্সেস করতে পারেন এবং ইনিশিয়ালাইজেশন প্রক্রিয়া শুরু করতে পারেন।
-
-#### সাহায্যের খোঁজে
-
-ডিফাই সেট আপ করতে সমস্যা হলে দয়া করে আমাদের [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) দেখুন। যদি তবুও সমস্যা থেকে থাকে, তাহলে [কমিউনিটি এবং আমাদের](#community--contact) সাথে যোগাযোগ করুন।
-
-> যদি আপনি ডিফাইতে অবদান রাখতে বা অতিরিক্ত উন্নয়ন করতে চান, আমাদের [সোর্স কোড থেকে ডিপ্লয়মেন্টের গাইড](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) দেখুন।
-
-## প্রধান ফিচারসমূহ
-
-**১. ওয়ার্কফ্লো**:
-ভিজ্যুয়াল ক্যানভাসে AI ওয়ার্কফ্লো তৈরি এবং পরীক্ষা করুন, নিম্নলিখিত সব ফিচার এবং তার বাইরেও আরও অনেক কিছু ব্যবহার করে।
-
-**২. মডেল সাপোর্ট**:
-GPT, Mistral, Llama3, এবং যেকোনো OpenAI API-সামঞ্জস্যপূর্ণ মডেলসহ, কয়েক ডজন ইনফারেন্স প্রদানকারী এবং সেল্ফ-হোস্টেড সমাধান থেকে শুরু করে প্রোপ্রাইটরি/ওপেন-সোর্স LLM-এর সাথে সহজে ইন্টিগ্রেশন। সমর্থিত মডেল প্রদানকারীদের একটি সম্পূর্ণ তালিকা পাওয়া যাবে [এখানে](https://docs.dify.ai/getting-started/readme/model-providers)।
-
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
-
-**3. প্রম্পট IDE**:
-প্রম্পট তৈরি, মডেলের পারফরম্যান্স তুলনা এবং চ্যাট-বেজড অ্যাপে টেক্সট-টু-স্পিচের মতো বৈশিষ্ট্য যুক্ত করার জন্য ইন্টুইটিভ ইন্টারফেস।
-
-**4. RAG পাইপলাইন**:
-ডকুমেন্ট ইনজেশন থেকে শুরু করে রিট্রিভ পর্যন্ত সবকিছুই বিস্তৃত RAG ক্যাপাবিলিটির আওতাভুক্ত। PDF, PPT এবং অন্যান্য সাধারণ ডকুমেন্ট ফর্ম্যাট থেকে টেক্সট এক্সট্রাকশনের জন্য আউট-অফ-বক্স সাপোর্ট।
-
-**5. এজেন্ট ক্যাপাবিলিটি**:
-LLM ফাংশন কলিং বা ReAct উপর ভিত্তি করে এজেন্ট ডিফাইন করতে পারেন এবং এজেন্টের জন্য পূর্ব-নির্মিত বা কাস্টম টুলস যুক্ত করতে পারেন। Dify AI এজেন্টদের জন্য 50+ বিল্ট-ইন টুলস সরবরাহ করে, যেমন Google Search, DALL·E, Stable Diffusion এবং WolframAlpha।
-
-**6. এলএলএম-অপ্স**:
-সময়ের সাথে সাথে অ্যাপ্লিকেশন লগ এবং পারফরম্যান্স মনিটর এবং বিশ্লেষণ করুন। প্রডাকশন ডেটা এবং annotation এর উপর ভিত্তি করে প্রম্পট, ডেটাসেট এবং মডেলগুলিকে ক্রমাগত উন্নত করতে পারেন।
-
-**7. ব্যাকএন্ড-অ্যাজ-এ-সার্ভিস**:
-ডিফাই-এর সমস্ত অফার সংশ্লিষ্ট API-সহ আছে, যাতে আপনি অনায়াসে ডিফাইকে আপনার নিজস্ব বিজনেস লজিকে ইন্টেগ্রেট করতে পারেন।
-
-## ডিফাই-এর ব্যবহার
-
- **ক্লাউড </br>**
-  জিরো সেটাপে ব্যবহার করতে আমাদের [Dify Cloud](https://dify.ai) সার্ভিসটি ব্যবহার করতে পারেন। এখানে সেল্ফহোস্টিং-এর সকল ফিচার ও ক্যাপাবিলিটিসহ স্যান্ডবক্সে ২০০ জিপিটি-৪ কল ফ্রি পাবেন।
-
- **সেল্ফহোস্টিং ডিফাই কমিউনিটি সংস্করণ</br>**
-  সেল্ফহোস্ট করতে এই [স্টার্টার গাইড](#quick-start) ব্যবহার করে দ্রুত আপনার এনভায়রনমেন্টে ডিফাই চালান।
-  আরো ইন-ডেপথ রেফারেন্সের জন্য [ডকুমেন্টেশন](https://docs.dify.ai) দেখেন।
-
- **এন্টারপ্রাইজ / প্রতিষ্ঠানের জন্য Dify</br>**
-  আমরা এন্টারপ্রাইজ/প্রতিষ্ঠান-কেন্দ্রিক সেবা প্রদান করে থাকি । [এই চ্যাটবটের মাধ্যমে আপনার প্রশ্নগুলি আমাদের জন্য লগ করুন।](https://udify.app/chat/22L1zSxg6yW1cWQg) অথবা [আমাদের ইমেল পাঠান](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) আপনার চাহিদা সম্পর্কে আলোচনা করার জন্য। </br>
-
-  > AWS ব্যবহারকারী স্টার্টআপ এবং ছোট ব্যবসার জন্য, [AWS মার্কেটপ্লেসে Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) দেখুন এবং এক-ক্লিকের মাধ্যমে এটি আপনার নিজস্ব AWS VPC-তে ডিপ্লয় করুন। এটি একটি সাশ্রয়ী মূল্যের AMI অফার, যাতে কাস্টম লোগো এবং ব্র্যান্ডিং সহ অ্যাপ তৈরির সুবিধা আছে।
-
-## এগিয়ে থাকুন
-
-GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন এবং নতুন রিলিজের খবর তাৎক্ষণিকভাবে পান।
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-## Advanced Setup
-
-যদি আপনার কনফিগারেশনটি কাস্টমাইজ করার প্রয়োজন হয়, তাহলে অনুগ্রহ করে আমাদের [.env.example](docker/.env.example) ফাইল দেখুন এবং আপনার `.env` ফাইলে সংশ্লিষ্ট মানগুলি আপডেট করুন। এছাড়াও, আপনার নির্দিষ্ট এনভায়রনমেন্ট এবং প্রয়োজনীয়তার উপর ভিত্তি করে আপনাকে `docker-compose.yaml` ফাইলে সমন্বয় করতে হতে পারে, যেমন ইমেজ ভার্সন পরিবর্তন করা, পোর্ট ম্যাপিং করা, অথবা ভলিউম মাউন্ট করা।
-যেকোনো পরিবর্তন করার পর, অনুগ্রহ করে `docker-compose up -d` পুনরায় চালান। ভেরিয়েবলের সম্পূর্ণ তালিকা [এখানে] (https://docs.dify.ai/getting-started/install-self-hosted/environments) খুঁজে পেতে পারেন।
-
-যদি আপনি একটি হাইলি এভেইলেবল সেটআপ কনফিগার করতে চান, তাহলে কমিউনিটি [Helm Charts](https://helm.sh/) এবং YAML ফাইল রয়েছে যা Dify কে Kubernetes-এ ডিপ্লয় করার প্রক্রিয়া বর্ণনা করে।
-
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 নতুন! YAML ফাইলসমূহ (Dify v1.6.0 সমর্থিত) তৈরি করেছেন @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
-
-#### টেরাফর্ম ব্যবহার করে ডিপ্লয়
-
-[terraform](https://www.terraform.io/) ব্যবহার করে এক ক্লিকেই ক্লাউড প্ল্যাটফর্মে Dify ডিপ্লয় করুন।
-
-##### অ্যাজুর গ্লোবাল
-
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
-
-##### গুগল ক্লাউড
-
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
-
-#### AWS CDK ব্যবহার করে ডিপ্লয়
-
-[CDK](https://aws.amazon.com/cdk/) দিয়ে AWS-এ Dify ডিপ্লয় করুন
-
-##### AWS
-
- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud ব্যবহার করে ডিপ্লয়
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management ব্যবহার করে ডিপ্লয়
-
-[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### AKS-এ ডিপ্লয় করার জন্য Azure Devops Pipeline ব্যবহার
-
-[Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) ব্যবহার করে Dify কে AKS-এ এক ক্লিকে ডিপ্লয় করুন
-
-## Contributing
-
-যারা কোড অবদান রাখতে চান, তাদের জন্য আমাদের [অবদান নির্দেশিকা] দেখুন (https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)।
-একই সাথে, সোশ্যাল মিডিয়া এবং ইভেন্ট এবং কনফারেন্সে এটি শেয়ার করে Dify কে সমর্থন করুন।
-
-> আমরা ম্যান্ডারিন বা ইংরেজি ছাড়া অন্য ভাষায় Dify অনুবাদ করতে সাহায্য করার জন্য অবদানকারীদের খুঁজছি। আপনি যদি সাহায্য করতে আগ্রহী হন, তাহলে আরও তথ্যের জন্য [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) দেখুন এবং আমাদের [ডিসকর্ড কমিউনিটি সার্ভার](https://discord.gg/8Tpq4AcN9c) এর `গ্লোবাল-ইউজারস` চ্যানেলে আমাদের একটি মন্তব্য করুন।
-
-## কমিউনিটি এবং যোগাযোগ
-
- [GitHub Discussion](https://github.com/langgenius/dify/discussions) ফিডব্যাক এবং প্রতিক্রিয়া জানানোর মাধ্যম।
- [GitHub Issues](https://github.com/langgenius/dify/issues). Dify.AI ব্যবহার করে আপনি যেসব বাগের সম্মুখীন হন এবং ফিচার প্রস্তাবনা। আমাদের [অবদান নির্দেশিকা](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) দেখুন।
- [Discord](https://discord.gg/FngNHpbcY7) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম।
- [X(Twitter)](https://twitter.com/dify_ai) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম।
-
-**অবদানকারীদের তালিকা**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## স্টার হিস্ট্রি
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## নিরাপত্তা বিষয়ক
-
-আপনার গোপনীয়তা রক্ষা করতে, অনুগ্রহ করে GitHub-এ নিরাপত্তা সংক্রান্ত সমস্যা পোস্ট করা এড়িয়ে চলুন। পরিবর্তে, আপনার প্রশ্নগুলি <security@dify.ai> ঠিকানায় পাঠান এবং আমরা আপনাকে আরও বিস্তারিত উত্তর প্রদান করব।
-
-## লাইসেন্স
-
-এই রিপোজিটরিটি [ডিফাই ওপেন সোর্স লাইসেন্স](LICENSE) এর অধিনে , যা মূলত অ্যাপাচি ২.০, তবে কিছু অতিরিক্ত বিধিনিষেধ রয়েছে।
@@ -1,10 +1,10 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![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://dify.ai/pricing">Dify 产品形态总览</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">（需用英文）常见问题解答 / 联系团队</a>
 </div>

 <p align="center">
@@ -45,10 +45,10 @@
  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </div>

-# 
+
+#

 <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>
@@ -57,41 +57,114 @@
 Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI 工作流、RAG 管道、Agent、模型管理、可观测性功能等，让您可以快速从原型到生产。以下是其核心功能列表：
 </br> </br>

-**1. 工作流**:
-在画布上构建和测试功能强大的 AI 工作流程，利用以下所有功能以及更多功能。
+**1. 工作流**: 
+  在画布上构建和测试功能强大的 AI 工作流程，利用以下所有功能以及更多功能。

-**2. 全面的模型支持**:
-与数百种专有/开源 LLMs 以及数十种推理提供商和自托管解决方案无缝集成，涵盖 GPT、Mistral、Llama3 以及任何与 OpenAI API 兼容的模型。完整的支持模型提供商列表可在[此处](https://docs.dify.ai/getting-started/readme/model-providers)找到。
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. 全面的模型支持**: 
+  与数百种专有/开源 LLMs 以及数十种推理提供商和自托管解决方案无缝集成，涵盖 GPT、Mistral、Llama3 以及任何与 OpenAI API 兼容的模型。完整的支持模型提供商列表可在[此处](https://docs.dify.ai/getting-started/readme/model-providers)找到。

 ![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)

-**3. Prompt IDE**:
-用于制作提示、比较模型性能以及向基于聊天的应用程序添加其他功能（如文本转语音）的直观界面。

-**4. RAG Pipeline**:
-广泛的 RAG 功能，涵盖从文档摄入到检索的所有内容，支持从 PDF、PPT 和其他常见文档格式中提取文本的开箱即用的支持。
+**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。

-**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。
+**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。

-**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。
+**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。

-**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。
+**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。
+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](#%E5%BF%AB%E9%80%9F%E5%90%AF%E5%8A%A8)快速在您的环境中运行 Dify。
-  使用我们的[文档](https://docs.dify.ai)进行进一步的参考和更深入的说明。
+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=%5BGitHub%5DBusiness%20License%20Inquiry)讨论企业需求。 </br>
-
+我们提供额外的面向企业的功能。[给我们发送电子邮件](mailto:business@dify.ai?subject=[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
@@ -125,65 +198,42 @@ docker compose up -d

 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 或 Kubernetes 资源清单（YAML）部署
+#### 使用 Helm Chart 部署

-使用 [Helm Chart](https://helm.sh/) 版本或者 Kubernetes 资源清单（YAML），可以在 Kubernetes 上部署 Dify。
+使用 [Helm Chart](https://helm.sh/) 版本或者 YAML 文件，可以在 Kubernetes 上部署 Dify。

 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
-
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
-
 - [YAML 文件 by @Winson-030](https://github.com/Winson-030/dify-kubernetes)

- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
-
- [🚀 NEW! YAML 文件 (支持 Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
-
 #### 使用 Terraform 部署

 使用 [terraform](https://www.terraform.io/) 一键将 Dify 部署到云平台

 ##### Azure Global
-
 - [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)

 ##### Google Cloud
-
 - [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)

 #### 使用 AWS CDK 部署

 使用 [CDK](https://aws.amazon.com/cdk/) 将 Dify 部署到 AWS

-##### AWS
-
- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### 使用 阿里云计算巢 部署
-
-使用 [阿里云计算巢](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) 将 Dify 一键部署到 阿里云
-
-#### 使用 阿里云数据管理DMS 部署
-
-使用 [阿里云数据管理DMS](https://help.aliyun.com/zh/dms/dify-in-invitational-preview) 将 Dify 一键部署到 阿里云
-
-#### 使用 Azure Devops Pipeline 部署到AKS
-
-使用[Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) 将 Dify 一键部署到 AKS
+##### AWS 
+- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)

 ## Star History

 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)

+
 ## 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_CN.md)。
+对于那些想要贡献代码的人，请参阅我们的[贡献指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
 同时，请考虑通过社交媒体、活动和会议来支持 Dify 的分享。

-> 我们正在寻找贡献者来帮助将 Dify 翻译成除了中文和英文之外的其他语言。如果您有兴趣帮助，请参阅我们的[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md)获取更多信息，并在我们的[Discord 社区服务器](https://discord.gg/8Tpq4AcN9c)的`global-users`频道中留言。
+> 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**

@@ -195,12 +245,14 @@ docker compose up -d

 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 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=%5BGitHub%5DQuestions%20About%20Dify)。👉：关于使用 Dify.AI 的问题。
+- [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。
- [商业许可](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry)。👉：有关商业用途许可 Dify.AI 的商业咨询。
+- [商业许可](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。👉：有关商业用途许可 Dify.AI 的商业咨询。
+ - [微信]() 👉：扫描下方二维码，添加微信好友，备注 Dify，我们将邀请您加入 Dify 社区。  
+<img src="./images/wechat.png" alt="wechat" width="100"/>

 ## 安全问题

@@ -1,203 +0,0 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
-
-<p align="center">
-  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Einführung in Dify Workflow File Upload: Google NotebookLM Podcast nachbilden</a>
-</p>
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Selbstgehostetes</a> ·
-  <a href="https://docs.dify.ai">Dokumentation</a> ·
-  <a href="https://dify.ai/pricing">Überblick über die Dify-Produkte</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="join Reddit"></a>
-    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
-        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
-    <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
-</p>
-
-<p align="center">
-  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
-  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
-  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
-</p>
-
-Dify ist eine Open-Source-Plattform zur Entwicklung von LLM-Anwendungen. Ihre intuitive Benutzeroberfläche vereint agentenbasierte KI-Workflows, RAG-Pipelines, Agentenfunktionen, Modellverwaltung, Überwachungsfunktionen und mehr, sodass Sie schnell von einem Prototyp in die Produktion übergehen können.
-
-## Schnellstart
-
-> Bevor Sie Dify installieren, stellen Sie sicher, dass Ihr System die folgenden Mindestanforderungen erfüllt:
->
-> - CPU >= 2 Core
-> - RAM >= 4 GiB
-
-</br>
-
-Der einfachste Weg, den Dify-Server zu starten, ist über [docker compose](docker/docker-compose.yaml). Stellen Sie vor dem Ausführen von Dify mit den folgenden Befehlen sicher, dass [Docker](https://docs.docker.com/get-docker/) und [Docker Compose](https://docs.docker.com/compose/install/) auf Ihrem System installiert sind:
-
-```bash
-cd dify
-cd docker
-cp .env.example .env
-docker compose up -d
-```
-
-Nachdem Sie den Server gestartet haben, können Sie über Ihren Browser auf das Dify Dashboard unter [http://localhost/install](http://localhost/install) zugreifen und den Initialisierungsprozess starten.
-
-#### Hilfe suchen
-
-Bitte beachten Sie unsere [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs), wenn Sie Probleme bei der Einrichtung von Dify haben. Wenden Sie sich an [die Community und uns](#community--contact), falls weiterhin Schwierigkeiten auftreten.
-
-> Wenn Sie zu Dify beitragen oder zusätzliche Entwicklungen durchführen möchten, lesen Sie bitte unseren [Leitfaden zur Bereitstellung aus dem Quellcode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code).
-
-## Wesentliche Merkmale
-
-**1. Workflow**:
-Erstellen und testen Sie leistungsstarke KI-Workflows auf einer visuellen Oberfläche, wobei Sie alle der folgenden Funktionen und darüber hinaus nutzen können.
-
-**2. Umfassende Modellunterstützung**:
-Nahtlose Integration mit Hunderten von proprietären und Open-Source-LLMs von Dutzenden Inferenzanbietern und selbstgehosteten Lösungen, die GPT, Mistral, Llama3 und alle mit der OpenAI API kompatiblen Modelle abdecken. Eine vollständige Liste der unterstützten Modellanbieter finden Sie [hier](https://docs.dify.ai/getting-started/readme/model-providers).
-
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
-
-**3. Prompt IDE**:
-Intuitive Benutzeroberfläche zum Erstellen von Prompts, zum Vergleichen der Modellleistung und zum Hinzufügen zusätzlicher Funktionen wie Text-to-Speech in einer chatbasierten Anwendung.
-
-**4. RAG Pipeline**:
-Umfassende RAG-Funktionalitäten, die alles von der Dokumenteneinlesung bis zur -abfrage abdecken, mit sofort einsatzbereiter Unterstützung für die Textextraktion aus PDFs, PPTs und anderen gängigen Dokumentformaten.
-
-**5. Fähigkeiten des Agenten**:
-Sie können Agenten basierend auf LLM Function Calling oder ReAct definieren und vorgefertigte oder benutzerdefinierte Tools für den Agenten hinzufügen. Dify stellt über 50 integrierte Tools für KI-Agenten bereit, wie zum Beispiel Google Search, DALL·E, Stable Diffusion und WolframAlpha.
-
-**6. LLMOps**:
-Überwachen und analysieren Sie Anwendungsprotokolle und die Leistung im Laufe der Zeit. Sie können kontinuierlich Prompts, Datensätze und Modelle basierend auf Produktionsdaten und Annotationen verbessern.
-
-**7. Backend-as-a-Service**:
-Alle Dify-Angebote kommen mit entsprechenden APIs, sodass Sie Dify mühelos in Ihre eigene Geschäftslogik integrieren können.
-
-## Dify verwenden
-
- **Cloud </br>**
-  Wir hosten einen [Dify Cloud](https://dify.ai)-Service, den jeder ohne Einrichtung ausprobieren kann. Er bietet alle Funktionen der selbstgehosteten Version und beinhaltet 200 kostenlose GPT-4-Aufrufe im Sandbox-Plan.
-
- **Selbstgehostete Dify Community Edition</br>**
-  Starten Sie Dify schnell in Ihrer Umgebung mit diesem [Schnellstart-Leitfaden](#quick-start). Nutzen Sie unsere [Dokumentation](https://docs.dify.ai) für weiterführende Informationen und detaillierte Anweisungen.
-
- **Dify für Unternehmen / Organisationen</br>**
-  Wir bieten zusätzliche, unternehmensspezifische Funktionen. [Über diesen Chatbot können Sie uns Ihre Fragen mitteilen](https://udify.app/chat/22L1zSxg6yW1cWQg) oder [senden Sie uns eine E-Mail](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry), um Ihre unternehmerischen Bedürfnisse zu besprechen. </br>
-
-  > Für Startups und kleine Unternehmen, die AWS nutzen, schauen Sie sich [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) an und stellen Sie es mit nur einem Klick in Ihrer eigenen AWS VPC bereit. Es handelt sich um ein erschwingliches AMI-Angebot mit der Option, Apps mit individuellem Logo und Branding zu erstellen.
-
-## Immer einen Schritt voraus
-
-Star Dify auf GitHub und lassen Sie sich sofort über neue Releases benachrichtigen.
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-## Erweiterte Einstellungen
-
-Falls Sie die Konfiguration anpassen müssen, lesen Sie bitte die Kommentare in unserer [.env.example](docker/.env.example)-Datei und aktualisieren Sie die entsprechenden Werte in Ihrer `.env`-Datei. Zusätzlich müssen Sie eventuell Anpassungen an der `docker-compose.yaml`-Datei vornehmen, wie zum Beispiel das Ändern von Image-Versionen, Portzuordnungen oder Volumen-Mounts, je nach Ihrer spezifischen Einsatzumgebung und Ihren Anforderungen. Nachdem Sie Änderungen vorgenommen haben, starten Sie `docker-compose up -d` erneut. Eine vollständige Liste der verfügbaren Umgebungsvariablen finden Sie [hier](https://docs.dify.ai/getting-started/install-self-hosted/environments).
-
-Falls Sie eine hochverfügbare Konfiguration einrichten möchten, gibt es von der Community bereitgestellte [Helm Charts](https://helm.sh/) und YAML-Dateien, die es ermöglichen, Dify auf Kubernetes bereitzustellen.
-
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
-
-#### Terraform für die Bereitstellung verwenden
-
-Stellen Sie Dify mit nur einem Klick mithilfe von [terraform](https://www.terraform.io/) auf einer Cloud-Plattform bereit.
-
-##### Azure Global
-
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
-
-##### Google Cloud
-
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
-
-#### Verwendung von AWS CDK für die Bereitstellung
-
-Bereitstellung von Dify auf AWS mit [CDK](https://aws.amazon.com/cdk/)
-
-##### AWS
-
- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management
-
-Ein-Klick-Bereitstellung von Dify in der Alibaba Cloud mit [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### Verwendung von Azure Devops Pipeline für AKS-Bereitstellung
-
-Stellen Sie Dify mit einem Klick in AKS bereit, indem Sie [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) verwenden
-
-## Contributing
-
-Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_DE.md). Gleichzeitig bitten wir Sie, Dify zu unterstützen, indem Sie es in den sozialen Medien teilen und auf Veranstaltungen und Konferenzen präsentieren.
-
-> Wir suchen Mitwirkende, die dabei helfen, Dify in weitere Sprachen zu übersetzen – außer Mandarin oder Englisch. Wenn Sie Interesse an einer Mitarbeit haben, lesen Sie bitte die [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) für weitere Informationen und hinterlassen Sie einen Kommentar im `global-users`-Kanal unseres [Discord Community Servers](https://discord.gg/8Tpq4AcN9c).
-
-## Gemeinschaft & Kontakt
-
- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Am besten geeignet für: den Austausch von Feedback und das Stellen von Fragen.
- [GitHub Issues](https://github.com/langgenius/dify/issues). Am besten für: Fehler, auf die Sie bei der Verwendung von Dify.AI stoßen, und Funktionsvorschläge. Siehe unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.
- [X(Twitter)](https://twitter.com/dify_ai). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.
-
-**Mitwirkende**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## Star-Geschichte
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## Offenlegung der Sicherheit
-
-Um Ihre Privatsphäre zu schützen, vermeiden Sie es bitte, Sicherheitsprobleme auf GitHub zu posten. Schicken Sie Ihre Fragen stattdessen an security@dify.ai und wir werden Ihnen eine ausführlichere Antwort geben.
-
-## Lizenz
-
-Dieses Repository steht unter der [Dify Open Source License](LICENSE), die im Wesentlichen Apache 2.0 mit einigen zusätzlichen Einschränkungen ist.
@@ -1,10 +1,10 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)

 <p align="center">
  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-alojamiento</a> ·
  <a href="https://docs.dify.ai">Documentación</a> ·
-  <a href="https://dify.ai/pricing">Resumen de las ediciones de Dify</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariales (en inglés)</a>
 </p>

 <p align="center">
@@ -45,10 +45,9 @@
  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>

-# 
+#

 <p align="center">
  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
@@ -56,55 +55,132 @@
 Dify es una plataforma de desarrollo de aplicaciones de LLM de código abierto. Su interfaz intuitiva combina flujo de trabajo de IA, pipeline RAG, capacidades de agente, gestión de modelos, características de observabilidad y más, lo que le permite pasar rápidamente de un prototipo a producción. Aquí hay una lista de las características principales:
 </br> </br>

-**1. Flujo de trabajo**:
-Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
+**1. Flujo de trabajo**: 
+  Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.

-**2. Soporte de modelos completo**:
-Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama3 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/getting-started/readme/model-providers).
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Soporte de modelos completo**: 
+  Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama3 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/getting-started/readme/model-providers).

 ![proveedores-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)

-**3. IDE de prompt**:
-Interfaz intuitiva para crear prompts, comparar el rendimiento del modelo y agregar características adicionales como texto a voz a una aplicación basada en chat.

-**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. 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. 

-**5. Capacidades de agente**:
-Puedes definir agentes basados en LLM Function Calling o ReAct, y agregar herramientas preconstruidas o personalizadas para el agente. Dify proporciona más de 50 herramientas integradas para agentes de IA, como Búsqueda de Google, DALL·E, Difusión Estable y WolframAlpha.
+**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.

-**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.
+**5. Capacidades de agente**: 
+  Puedes definir agent

-**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.
+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.
+
+**6. LLMOps**: 
+  Supervisa y analiza registros de aplicaciones y rendimiento a lo largo del tiempo. Podrías mejorar continuamente prompts, conjuntos de datos y modelos basados en datos de producción y anotaciones.
+
+**7. Backend como servicio**: 
+  Todas las ofertas de Dify vienen con APIs correspondientes, por lo que podrías integrar Dify sin esfuerzo en tu propia lógica empresarial.
+
+
+## Comparación de características
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Característica</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">API de Asistentes de OpenAI</th>
+  </tr>
+  <tr>
+    <td align="center">Enfoque de programación</td>
+    <td align="center">API + orientado a la aplicación</td>
+    <td align="center">Código Python</td>
+    <td align="center">Orientado a la aplicación</td>
+    <td align="center">Orientado a la API</td>
+  </tr>
+  <tr>
+    <td align="center">LLMs admitidos</td>
+    <td align="center">Gran variedad</td>
+    <td align="center">Gran variedad</td>
+    <td align="center">Gran variedad</td>
+    <td align="center">Solo OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">Motor RAG</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agente</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Flujo de trabajo</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Observabilidad</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Característica empresarial (SSO/Control de acceso)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Implementación local</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>

 ## Usando Dify

 - **Nube </br>**
-  Hospedamos un servicio [Dify Cloud](https://dify.ai) para que cualquiera lo pruebe sin configuración. Proporciona todas las capacidades de la versión autoimplementada e incluye 200 llamadas gratuitas a GPT-4 en el plan sandbox.
+Hospedamos un servicio [Dify Cloud](https://dify.ai) para que cualquiera lo pruebe sin configuración. Proporciona todas las capacidades de la versión autoimplementada e incluye 200 llamadas gratuitas a GPT-4 en el plan sandbox.

 - **Auto-alojamiento de Dify Community Edition</br>**
-  Pon rápidamente Dify en funcionamiento en tu entorno con esta [guía de inicio rápido](#quick-start).
-  Usa nuestra [documentación](https://docs.dify.ai) para más referencias e instrucciones más detalladas.
+Pon rápidamente Dify en funcionamiento en tu entorno con esta [guía de inicio rápido](#quick-start).
+Usa nuestra [documentación](https://docs.dify.ai) para más referencias e instrucciones más detalladas.

 - **Dify para Empresas / Organizaciones</br>**
-  Proporcionamos características adicionales centradas en la empresa. [Envíanos un correo electrónico](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) para discutir las necesidades empresariales. </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.

+
 ## 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

+
+## Inicio Rápido
 > Antes de instalar Dify, asegúrate de que tu máquina cumpla con los siguientes requisitos mínimos del sistema:
->
-> - CPU >= 2 núcleos
-> - RAM >= 4GB
+> 
+>- CPU >= 2 núcleos
+>- RAM >= 4GB

 </br>

@@ -130,50 +206,32 @@ Si desea configurar una configuración de alta disponibilidad, la comunidad prop

 - [Gráfico Helm por @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Gráfico Helm por @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Gráfico Helm por @magicsong](https://github.com/magicsong/ai-charts)
 - [Ficheros YAML por @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [Ficheros YAML por @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 ¡NUEVO! Archivos YAML (compatible con Dify v1.6.0) por @Zhoneym](https://github.com/Zhoneym/DifyAI-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 (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK por @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management
-
-Despliega Dify en Alibaba Cloud con un solo clic con [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### Uso de Azure Devops Pipeline para implementar en AKS
-
-Implementa Dify en AKS con un clic usando [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
+##### 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_ES.md).
+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-config/README.md) para obtener más información y déjanos un comentario en el canal `global-users` de nuestro [Servidor de Comunidad en Discord](https://discord.gg/8Tpq4AcN9c).
+
+> 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**

@@ -183,22 +241,15 @@ Al mismo tiempo, considera apoyar a Dify compartiéndolo en redes sociales y en

 ## Comunidad y Contacto

- [Discusión en GitHub](https://github.com/langgenius/dify/discussions). Lo mejor para: compartir comentarios y hacer preguntas.
- [Reporte de problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores que encuentres usando Dify.AI y propuestas de características. Consulta nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
- [X(Twitter)](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
+* [Discusión en GitHub](https://github.com/langgenius/dify/discussions). Lo mejor para: compartir comentarios y hacer preguntas.
+* [Reporte de problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores que encuentres usando Dify.AI y propuestas de características. Consulta nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
+* [X(Twitter)](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.

 ## Historial de Estrellas

 [![Gráfico de Historial de Estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)

-## Divulgación de Seguridad
-
-Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En su lugar, envía tus preguntas a security@dify.ai y te proporcionaremos una respuesta más detallada.
-
-## Licencia
-
-Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.

 ## Divulgación de Seguridad

@@ -207,3 +258,10 @@ 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.
@@ -1,10 +1,10 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)

 <p align="center">
  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hébergement</a> ·
  <a href="https://docs.dify.ai">Documentation</a> ·
-  <a href="https://dify.ai/pricing">Présentation des différentes offres Dify</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Demande d’entreprise (en anglais seulement)</a>
 </p>

 <p align="center">
@@ -45,10 +45,9 @@
  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>

-# 
+#

 <p align="center">
  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
@@ -56,55 +55,132 @@
 Dify est une plateforme de développement d'applications LLM open source. Son interface intuitive combine un flux de travail d'IA, un pipeline RAG, des capacités d'agent, une gestion de modèles, des fonctionnalités d'observabilité, et plus encore, vous permettant de passer rapidement du prototype à la production. Voici une liste des fonctionnalités principales:
 </br> </br>

-**1. Flux de travail** :
-Construisez et testez des flux de travail d'IA puissants sur un canevas visuel, en utilisant toutes les fonctionnalités suivantes et plus encore.
+**1. Flux de travail**: 
+  Construisez et testez des flux de travail d'IA puissants sur un canevas visuel, en utilisant toutes les fonctionnalités suivantes et plus encore.

-**2. Prise en charge complète des modèles** :
-Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/readme/model-providers).
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Prise en charge complète des modèles**: 
+  Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/readme/model-providers).

 ![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)

-**3. IDE de prompt** :
-Interface intuitive pour créer des prompts, comparer les performances des modèles et ajouter des fonctionnalités supplémentaires telles que la synthèse vocale à une application basée sur des chats.

-**4. Pipeline RAG** :
-Des capacités RAG étendues qui couvrent tout, de l'ingestion de documents à la récupération, avec un support prêt à l'emploi pour l'extraction de texte à partir de PDF, PPT et autres formats de document courants.
+**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. 

-**5. Capacités d'agent** :
-Vous pouvez définir des agents basés sur l'appel de fonction LLM ou ReAct, et ajouter des outils pré-construits ou personnalisés pour l'agent. Dify fournit plus de 50 outils intégrés pour les agents d'IA, tels que la recherche Google, DALL·E, Stable Diffusion et WolframAlpha.
+**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.

-**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.
+**5. Capac

-**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.
+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.
+Nous hébergeons un service [Dify Cloud](https://dify.ai) pour que tout le monde puisse l'essayer sans aucune configuration. Il fournit toutes les capacités de la version auto-hébergée et comprend 200 appels GPT-4 gratuits dans le plan bac à sable.

 - **Auto-hébergement Dify Community Edition</br>**
-  Lancez rapidement Dify dans votre environnement avec ce [guide de démarrage](#quick-start).
-  Utilisez notre [documentation](https://docs.dify.ai) pour plus de références et des instructions plus détaillées.
+Lancez rapidement Dify dans votre environnement avec ce [guide de démarrage](#quick-start).
+Utilisez notre [documentation](https://docs.dify.ai) pour plus de références et des instructions plus détaillées.

 - **Dify pour les entreprises / organisations</br>**
-  Nous proposons des fonctionnalités supplémentaires adaptées aux entreprises. [Envoyez-nous un e-mail](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) pour discuter des besoins de l'entreprise. </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

+
+## Démarrage rapide
 > Avant d'installer Dify, assurez-vous que votre machine répond aux exigences système minimales suivantes:
->
-> - CPU >= 2 cœurs
-> - RAM >= 4 Go
+> 
+>- CPU >= 2 cœurs
+>- RAM >= 4 Go

 </br>

@@ -128,50 +204,32 @@ Si vous souhaitez configurer une configuration haute disponibilité, la communau

 - [Helm Chart par @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart par @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Helm Chart par @magicsong](https://github.com/magicsong/ai-charts)
 - [Fichier YAML par @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [Fichier YAML par @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NOUVEAU ! Fichiers YAML (compatible avec Dify v1.6.0) par @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)

 #### 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 (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK par @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management
-
-Déployez Dify en un clic sur Alibaba Cloud avec [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### Utilisation d'Azure Devops Pipeline pour déployer sur AKS
-
-Déployez Dify sur AKS en un clic en utilisant [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
+##### 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_FR.md).
+Pour ceux qui souhaitent contribuer du code, consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
 Dans le même temps, veuillez envisager de soutenir Dify en le partageant sur les réseaux sociaux et lors d'événements et de conférences.

-> Nous recherchons des contributeurs pour aider à traduire Dify dans des langues autres que le mandarin ou l'anglais. Si vous êtes intéressé à aider, veuillez consulter le [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) pour plus d'informations, et laissez-nous un commentaire dans le canal `global-users` de notre [Serveur communautaire Discord](https://discord.gg/8Tpq4AcN9c).
+
+> Nous recherchons des contributeurs pour aider à traduire Dify dans des langues autres que le mandarin ou l'anglais. Si vous êtes intéressé à aider, veuillez consulter le [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) pour plus d'informations, et laissez-nous un commentaire dans le canal `global-users` de notre [Serveur communautaire Discord](https://discord.gg/8Tpq4AcN9c).

 **Contributeurs**

@@ -181,22 +239,15 @@ Dans le même temps, veuillez envisager de soutenir Dify en le partageant sur le

 ## Communauté & Contact

- [Discussion GitHub](https://github.com/langgenius/dify/discussions). Meilleur pour: partager des commentaires et poser des questions.
- [Problèmes GitHub](https://github.com/langgenius/dify/issues). Meilleur pour: les bogues que vous rencontrez en utilisant Dify.AI et les propositions de fonctionnalités. Consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). Meilleur pour: partager vos applications et passer du temps avec la communauté.
- [X(Twitter)](https://twitter.com/dify_ai). Meilleur pour: partager vos applications et passer du temps avec la communauté.
+* [Discussion GitHub](https://github.com/langgenius/dify/discussions). Meilleur pour: partager des commentaires et poser des questions.
+* [Problèmes GitHub](https://github.com/langgenius/dify/issues). Meilleur pour: les bogues que vous rencontrez en utilisant Dify.AI et les propositions de fonctionnalités. Consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). Meilleur pour: partager vos applications et passer du temps avec la communauté.
+* [X(Twitter)](https://twitter.com/dify_ai). Meilleur pour: partager vos applications et passer du temps avec la communauté.

 ## Historique des étoiles

 [![Graphique de l'historique des étoiles](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)

-## Divulgation de sécurité
-
-Pour protéger votre vie privée, veuillez éviter de publier des problèmes de sécurité sur GitHub. Au lieu de cela, envoyez vos questions à security@dify.ai et nous vous fournirons une réponse plus détaillée.
-
-## Licence
-
-Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement l'Apache 2.0 avec quelques restrictions supplémentaires.

 ## Divulgation de sécurité

@@ -205,3 +256,10 @@ Pour protéger votre vie privée, veuillez éviter de publier des problèmes de
 ## Licence

 Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement l'Apache 2.0 avec quelques restrictions supplémentaires.
+## Divulgation de sécurité
+
+Pour protéger votre vie privée, veuillez éviter de publier des problèmes de sécurité sur GitHub. Au lieu de cela, envoyez vos questions à security@dify.ai et nous vous fournirons une réponse plus détaillée.
+
+## Licence
+
+Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement l'Apache 2.0 avec quelques restrictions supplémentaires.
@@ -1,10 +1,10 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![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">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://dify.ai/pricing">Difyの各種エディションについて</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業のお問い合わせ（英語のみ）</a>
 </p>

 <p align="center">
@@ -15,7 +15,7 @@
    <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">
+    <a href="https://reddit.com/r/difyai" target="_blank">  
        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
            alt="Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
@@ -45,10 +45,9 @@
  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>

-# 
+#

 <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>
@@ -57,42 +56,116 @@
 DifyはオープンソースのLLMアプリケーション開発プラットフォームです。直感的なインターフェイスには、AIワークフロー、RAGパイプライン、エージェント機能、モデル管理、観測機能などが組み合わさっており、プロトタイプから生産まで迅速に進めることができます。以下の機能が含まれます：
 </br> </br>

-**1. ワークフロー**:
-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。
+**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。

-**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。
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. 総合的なモデルサポート**: 
+  数百ものプロプライエタリ/オープンソースのLLMと、数十もの推論プロバイダーおよびセルフホスティングソリューションとのシームレスな統合を提供します。GPT、Mistral、Llama3、OpenAI APIと互換性のあるすべてのモデルを統合されています。サポートされているモデルプロバイダーの完全なリストは[こちら](https://docs.dify.ai/getting-started/readme/model-providers)をご覧ください。

 ![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)

-**3. プロンプトIDE**:
-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。
+**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。

-**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。
+**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。

-**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。
+**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。

-**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。
+**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。
+[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](#%E3%82%AF%E3%82%A4%E3%83%83%E3%82%AF%E3%82%B9%E3%82%BF%E3%83%BC%E3%83%88)を使用して、ローカル環境でDifyを簡単に実行できます。
-  詳しくは[ドキュメント](https://docs.dify.ai)をご覧ください。
+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=%5BGitHub%5DBusiness%20License%20Inquiry)して企業のニーズについて相談してください。 </br>
+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。

-  > AWSを使用しているスタートアップ企業や中小企業の場合は、[AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)のDify Premiumをチェックして、ワンクリックで自分のAWS VPCにデプロイできます。さらに、手頃な価格のAMIオファリングとして、ロゴやブランディングをカスタマイズしてアプリケーションを作成するオプションがあります。

 ## 最新の情報を入手

@@ -100,12 +173,13 @@ GitHub上でDifyにスターを付けることで、Difyに関する新しいニ

 ![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)

-## クイックスタート

+
+## クイックスタート
 > Difyをインストールする前に、お使いのマシンが以下の最小システム要件を満たしていることを確認してください：
->
-> - CPU >= 2コア
-> - RAM >= 4GB
+> 
+>- CPU >= 2コア
+>- RAM >= 4GB

 </br>

@@ -129,50 +203,32 @@ docker compose up -d

 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 新着！YAML ファイル（Dify v1.6.0 対応）by @Zhoneym](https://github.com/Zhoneym/DifyAI-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 (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [@tmokmssによるAWS CDK (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management
-
-[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) を利用して、DifyをAlibaba Cloudへワンクリックでデプロイできます
-
-#### AKSへのデプロイにAzure Devops Pipelineを使用
-
-[Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)を使用してDifyをAKSにワンクリックでデプロイ
+##### 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_JA.md)を参照してください。
+コードに貢献したい方は、[Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)を参照してください。
 同時に、DifyをSNSやイベント、カンファレンスで共有してサポートしていただけると幸いです。

-> Difyを英語または中国語以外の言語に翻訳してくれる貢献者を募集しています。興味がある場合は、詳細については[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md)を参照してください。また、[Discordコミュニティサーバー](https://discord.gg/8Tpq4AcN9c)の`global-users`チャンネルにコメントを残してください。
+
+> 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。

 **貢献者**

@@ -182,10 +238,12 @@ docker compose up -d

 ## コミュニティ & お問い合わせ

- [GitHub Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。
- [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIを使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください
- [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。
- [X(Twitter)](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。
+* [Github Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。
+* [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIを使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください
+* [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。
+* [X(Twitter)](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。
+
+

 ## ライセンス

@@ -1,10 +1,10 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)

 <p align="center">
  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
  <a href="https://docs.dify.ai">Documentation</a> ·
-  <a href="https://dify.ai/pricing">Dify product editions</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Commercial enquiries</a>
 </p>

 <p align="center">
@@ -45,10 +45,9 @@
  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>

-# 
+#

 <p align="center">
  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
@@ -56,55 +55,132 @@
 Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
 </br> </br>

-**1. Workflow**:
-Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
+**1. Workflow**: 
+  Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.

-**2. Comprehensive model support**:
-Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
+
+  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.
+**3. Prompt IDE**: 
+  Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app. 

-**5. Agent capabilities**:
-You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
+**4. RAG Pipeline**: 
+  Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.

-**6. LLMOps**:
-Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
+**5. Agent capabilities**: 
+  You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.

-**7. Backend-as-a-Service**:
-All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
+**6. LLMOps**: 
+  Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
+
+**7. Backend-as-a-Service**: 
+  All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
+
+
+## Feature Comparison
+<table style="width: 100%;">
+  <tr
+
+>
+    <th align="center">Feature</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Programming Approach</td>
+    <td align="center">API + App-oriented</td>
+    <td align="center">Python Code</td>
+    <td align="center">App-oriented</td>
+    <td align="center">API-oriented</td>
+  </tr>
+  <tr>
+    <td align="center">Supported LLMs</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">OpenAI-only</td>
+  </tr>
+  <tr>
+    <td align="center">RAG Engine</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agent</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Workflow</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Observability</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Enterprise Feature (SSO/Access control)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Local Deployment</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>

 ## Using Dify

 - **Cloud </br>**
-  We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
+We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.

 - **Self-hosting Dify Community Edition</br>**
-  Quickly get Dify running in your environment with this [starter guide](#quick-start).
-  Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
+Quickly get Dify running in your environment with this [starter guide](#quick-start).
+Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.

 - **Dify for Enterprise / Organizations</br>**
-  We provide additional enterprise-centric features. [Send us an email](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) to discuss enterprise needs. </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.

+
 ## 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

+
+## Quick Start
 > Before installing Dify, make sure your machine meets the following minimum system requirements:
->
-> - CPU >= 2 Core
-> - RAM >= 4GB
+> 
+>- CPU >= 2 Core
+>- RAM >= 4GB

 </br>

@@ -128,50 +204,32 @@ If you'd like to configure a highly-available setup, there are community-contrib

 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)

 #### Terraform atorlugu pilersitsineq

 wa'logh nIqHom neH ghun deployment toy'wI' [terraform](https://www.terraform.io/) lo'laH.

 ##### Azure Global
-
 - [Azure Terraform mung @nikawang](https://github.com/nikawang/dify-azure-terraform)

 ##### Google Cloud
-
 - [Google Cloud Terraform qachlot @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)

 #### AWS CDK atorlugh pilersitsineq

 wa'logh nIqHom neH ghun deployment toy'wI' [CDK](https://aws.amazon.com/cdk/) lo'laH.

-##### AWS
-
- [AWS CDK qachlot @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK qachlot @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management
-
-[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### AKS 'e' Deploy je Azure Devops Pipeline lo'laH
-
-[Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) lo'laH Dify AKS 'e' wa'DIch click 'e' Deploy
+##### 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).
+For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
 At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.

-> We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
+
+> 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**

@@ -181,18 +239,18 @@ At the same time, please consider supporting Dify by sharing it on social media

 ## Community & Contact

- \[GitHub Discussion\](https://github.com/langgenius/dify/discussions
+* [Github Discussion](https://github.com/langgenius/dify/discussions

 ). Best for: sharing feedback and asking questions.
-
- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
- [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
+* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
+* [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.

 ## Star History

 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)

+
 ## Security Disclosure

 To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
@@ -1,10 +1,10 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![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://dify.ai/pricing">Dify 제품 에디션 안내</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">기업 문의 (영어만 가능)</a>
 </p>

 <p align="center">
@@ -45,33 +45,106 @@
  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-    <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>

-Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페이스를 통해 AI 워크플로우, RAG 파이프라인, 에이전트 기능, 모델 관리, 관찰 기능 등을 결합하여 프로토타입에서 프로덕션까지 빠르게 전환할 수 있습니다. 주요 기능 목록은 다음과 같습니다:</br> </br>
+
+   Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페이스를 통해 AI 워크플로우, RAG 파이프라인, 에이전트 기능, 모델 관리, 관찰 기능 등을 결합하여 프로토타입에서 프로덕션까지 빠르게 전환할 수 있습니다. 주요 기능 목록은 다음과 같습니다:</br> </br>

 **1. 워크플로우**:
-다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요.
+    다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요.

-**2. 포괄적인 모델 지원:**:
+
+  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.
+**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.
+  LLM 함수 호출 또는 ReAct를 기반으로 에이전트를 정의하고 에이전트에 대해 사전 구축된 도구나 사용자 정의 도구를 추가할 수 있습니다. Dify는 Google Search, DALL·E, Stable Diffusion, WolframAlpha 등 AI 에이전트를 위한 50개 이상의 내장 도구를 제공합니다.

 **6. LLMOps**:
-시간 경과에 따른 애플리케이션 로그와 성능을 모니터링하고 분석합니다. 생산 데이터와 주석을 기반으로 프롬프트, 데이터세트, 모델을 지속적으로 개선할 수 있습니다.
+  시간 경과에 따른 애플리케이션 로그와 성능을 모니터링하고 분석합니다. 생산 데이터와 주석을 기반으로 프롬프트, 데이터세트, 모델을 지속적으로 개선할 수 있습니다.

 **7. Backend-as-a-Service**:
-Dify의 모든 제품에는 해당 API가 함께 제공되므로 Dify를 자신의 비즈니스 로직에 쉽게 통합할 수 있습니다.
+  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

@@ -79,26 +152,27 @@ Dify의 모든 제품에는 해당 API가 함께 제공되므로 Dify를 자신
  우리는 누구나 설정이 필요 없이 사용해 볼 수 있도록 [Dify 클라우드](https://dify.ai) 서비스를 호스팅합니다. 이는 자체 배포 버전의 모든 기능을 제공하며, 샌드박스 플랜에서 무료로 200회의 GPT-4 호출을 포함합니다.

 - **셀프-호스팅 Dify 커뮤니티 에디션</br>**
-  환경에서 Dify를 빠르게 실행하려면 이 [스타터 가이드를](#quick-start) 참조하세요.
+  환경에서 Dify를 빠르게 실행하려면 이  [스타터 가이드를](#quick-start) 참조하세요.
  추가 참조 및 더 심층적인 지침은 [문서](https://docs.dify.ai)를 사용하세요.

 - **기업 / 조직을 위한 Dify</br>**
-  우리는 추가적인 기업 중심 기능을 제공합니다. 잡거나 [이메일 보내기](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry)를 통해 기업 요구 사항을 논의하십시오. </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
+
+## 빠른 시작
+>Dify를 설치하기 전에 컴퓨터가 다음과 같은 최소 시스템 요구 사항을 충족하는지 확인하세요 : 
+>- CPU >= 2 Core
+>- RAM >= 4GB

 </br>

@@ -122,50 +196,32 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했

 - [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-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 (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [tmokmss의 AWS CDK (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management
-
-[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)를 통해 원클릭으로 Dify를 Alibaba Cloud에 배포할 수 있습니다
-
-#### AKS에 배포하기 위해 Azure Devops Pipeline 사용
-
-[Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)을 사용하여 Dify를 AKS에 원클릭으로 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_KR.md)를 참조하세요.
+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-config/README.md)에서 더 많은 정보를 확인하시고 [Discord 커뮤니티 서버](https://discord.gg/8Tpq4AcN9c)의 `global-users` 채널에 댓글을 남겨주세요.
+
+> 우리는 Dify를 중국어나 영어 이외의 언어로 번역하는 데 도움을 줄 수 있는 기여자를 찾고 있습니다. 도움을 주고 싶으시다면 [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)에서 더 많은 정보를 확인하시고 [Discord 커뮤니티 서버](https://discord.gg/8Tpq4AcN9c)의 `global-users` 채널에 댓글을 남겨주세요. 

 **기여자**

@@ -175,15 +231,17 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했

 ## 커뮤니티 & 연락처

- [GitHub 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다.
- [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
- [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
- [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
+* [Github 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다.
+* [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요. 
+* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
+* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
+

 ## Star 히스토리

 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)

+
 ## 보안 공개

 개인정보 보호를 위해 보안 문제를 GitHub에 게시하지 마십시오. 대신 security@dify.ai로 질문을 보내주시면 더 자세한 답변을 드리겠습니다.
@@ -1,4 +1,4 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![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>
@@ -8,7 +8,7 @@
  <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://dify.ai/pricing">Visão geral das edições do Dify</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariais</a>
 </p>

 <p align="center">
@@ -50,61 +50,135 @@
  <a href="./README_TR.md"><img alt="README em Turco" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README em Vietnamita" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
  <a href="./README_PT.md"><img alt="README em Português - BR" src="https://img.shields.io/badge/Portugu%C3%AAs-BR?style=flat&label=BR&color=d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>

 Dify é uma plataforma de desenvolvimento de aplicativos LLM de código aberto. Sua interface intuitiva combina workflow de IA, pipeline RAG, capacidades de agente, gerenciamento de modelos, recursos de observabilidade e muito mais, permitindo que você vá rapidamente do protótipo à produção. Aqui está uma lista das principais funcionalidades:
 </br> </br>

-**1. Workflow**:
-Construa e teste workflows poderosos de IA em uma interface visual, aproveitando todos os recursos a seguir e muito mais.
+**1. Workflow**: 
+  Construa e teste workflows poderosos de IA em uma interface visual, aproveitando todos os recursos a seguir e muito mais.

-**2. Suporte abrangente a modelos**:
-Integração perfeita com centenas de LLMs proprietários e de código aberto de diversas provedoras e soluções auto-hospedadas, abrangendo GPT, Mistral, Llama3 e qualquer modelo compatível com a API da OpenAI. A lista completa de provedores suportados pode ser encontrada [aqui](https://docs.dify.ai/getting-started/readme/model-providers).
+
+  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.
+**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. 

-**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.
+**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.

-**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.
+**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.

-**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.
+**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.
+Oferecemos o serviço [Dify Cloud](https://dify.ai) para qualquer pessoa experimentar sem nenhuma configuração. Ele fornece todas as funcionalidades da versão auto-hospedada, incluindo 200 chamadas GPT-4 gratuitas no plano sandbox.

 - **Auto-hospedagem do Dify Community Edition</br>**
-  Configure rapidamente o Dify no seu ambiente com este [guia inicial](#quick-start).
-  Use nossa [documentação](https://docs.dify.ai) para referências adicionais e instruções mais detalhadas.
+Configure rapidamente o Dify no seu ambiente com este [guia inicial](#quick-start).
+Use nossa [documentação](https://docs.dify.ai) para referências adicionais e instruções mais detalhadas.

 - **Dify para empresas/organizações</br>**
-  Oferecemos recursos adicionais voltados para empresas. [Envie suas perguntas através deste chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) ou [envie-nos um e-mail](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) para discutir necessidades empresariais. </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

+
+## Início rápido
 > Antes de instalar o Dify, certifique-se de que sua máquina atenda aos seguintes requisitos mínimos de sistema:
->
-> - CPU >= 2 Núcleos
-> - RAM >= 4 GiB
+> 
+>- CPU >= 2 Núcleos
+>- RAM >= 4 GiB

 </br>

@@ -128,50 +202,31 @@ Se deseja configurar uma instalação de alta disponibilidade, há [Helm Charts]

 - [Helm Chart de @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
 - [Helm Chart de @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Helm Chart de @magicsong](https://github.com/magicsong/ai-charts)
- [Arquivo YAML por @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [Arquivo YAML por @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NOVO! Arquivos YAML (Compatível com Dify v1.6.0) por @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
+- [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 (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK por @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management
-
-Implante o Dify na Alibaba Cloud com um clique usando o [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### Usando Azure Devops Pipeline para Implantar no AKS
-
-Implante o Dify no AKS com um clique usando [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
+##### 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_PT.md).
+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-config/README.md) para mais informações e deixe-nos um comentário no canal `global-users` em nosso [Servidor da Comunidade no Discord](https://discord.gg/8Tpq4AcN9c).
+> 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**

@@ -181,10 +236,10 @@ Ao mesmo tempo, considere apoiar o Dify compartilhando-o nas redes sociais e em

 ## Comunidade e contato

- [Discussões no GitHub](https://github.com/langgenius/dify/discussions). Melhor para: compartilhar feedback e fazer perguntas.
- [Problemas no GitHub](https://github.com/langgenius/dify/issues). Melhor para: relatar bugs encontrados no Dify.AI e propor novos recursos. Veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
- [X(Twitter)](https://twitter.com/dify_ai). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
+* [Discussões no GitHub](https://github.com/langgenius/dify/discussions). Melhor para: compartilhar feedback e fazer perguntas.
+* [Problemas no GitHub](https://github.com/langgenius/dify/issues). Melhor para: relatar bugs encontrados no Dify.AI e propor novos recursos. Veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
+* [X(Twitter)](https://twitter.com/dify_ai). Melhor para: compartilhar suas aplicações e interagir com a comunidade.

 ## Histórico de estrelas

@@ -1,199 +1,190 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
-
-<p align="center">
-  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">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://dify.ai/pricing">Pregled ponudb izdelkov Dify</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="chat on Discord"></a>
-    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
-        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
-    <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
-</p>
-
-<p align="center">
-  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
-  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
-  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_SI.md"><img alt="README Slovenščina" src="https://img.shields.io/badge/Sloven%C5%A1%C4%8Dina-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
-</p>
-
-Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje.
-
-## Hitri začetek
-
-> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
->
-> - CPU >= 2 Core
-> - RAM >= 4 GiB
-
-</br>
-
-Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku:
-
-```bash
-cd dify
-cd docker
-cp .env.example .env
-docker compose up -d
-```
-
-Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije.
-
-#### Iskanje pomoči
-
-Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact).
-
-> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
-
-## Ključne značilnosti
-
-**1. Potek dela**:
-Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
-
-**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)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-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 (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management
-
-Z enim klikom namestite Dify na Alibaba Cloud z [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### Uporaba Azure Devops Pipeline za uvajanje v AKS
-
-Z enim klikom namestite Dify v AKS z uporabo [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
-
-## Prispevam
-
-Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah.
-
-> 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.
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast</a>
+</p>
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
+  <a href="https://docs.dify.ai">Dokumentacija</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Povpraševanje za podjetja</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_SI.md"><img alt="README Slovenščina" src="https://img.shields.io/badge/Sloven%C5%A1%C4%8Dina-d9d9d9"></a>
+</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.
@@ -1,10 +1,10 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![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://dify.ai/pricing">Dify ürün seçeneklerine genel bakış</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yalnızca İngilizce: Kurumsal Sorgulama</a>
 </p>

 <p align="center">
@@ -45,47 +45,120 @@
  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>

+
 Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel arayüzü, AI iş akışı, RAG pipeline'ı, ajan yetenekleri, model yönetimi, gözlemlenebilirlik özellikleri ve daha fazlasını birleştirerek, prototipten üretime hızlıca geçmenizi sağlar. İşte temel özelliklerin bir listesi:
 </br> </br>

-**1. Workflow**:
+**1. Workflow**: 
 Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edin, aşağıdaki tüm özellikleri ve daha fazlasını kullanarak.

+
+  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)

-**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.
+**3. Prompt IDE**: 
+  Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.

-**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.
+**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.

-**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.
+**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.

-**7. Hizmet Olarak Backend**:
-Dify'ın tüm özellikleri ilgili API'lerle birlikte gelir, böylece Dify'ı kendi iş mantığınıza kolayca entegre edebilirsiniz.
+**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>**
-  Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.
+Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.

 - **Dify Topluluk Sürümünü Kendi Sunucunuzda Barındırma</br>**
-  Bu [başlangıç kılavuzu](#quick-start) ile Dify'ı kendi ortamınızda hızlıca çalıştırın.
-  Daha fazla referans ve detaylı talimatlar için [dokümantasyonumuzu](https://docs.dify.ai) kullanın.
+Bu [başlangıç kılavuzu](#quick-start) ile Dify'ı kendi ortamınızda hızlıca çalıştırın.
+Daha fazla referans ve detaylı talimatlar için [dokümantasyonumuzu](https://docs.dify.ai) kullanın.

 - **Kurumlar / organizasyonlar için Dify</br>**
-  Ek kurumsal odaklı özellikler sunuyoruz. Kurumsal ihtiyaçları görüşmek için [bize bir e-posta gönderin](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry). </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
@@ -94,12 +167,13 @@ 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

+
+## Hızlı başlangıç
 > Dify'ı kurmadan önce, makinenizin aşağıdaki minimum sistem gereksinimlerini karşıladığından emin olun:
->
-> - CPU >= 2 Çekirdek
-> - RAM >= 4GB
+> 
+>- CPU >= 2 Çekirdek
+>- RAM >= 4GB

 </br>
 Dify sunucusunu başlatmanın en kolay yolu, [docker-compose.yml](docker/docker-compose.yaml) dosyamızı çalıştırmaktır. Kurulum komutunu çalıştırmadan önce, makinenizde [Docker](https://docs.docker.com/get-docker/) ve [Docker Compose](https://docs.docker.com/compose/install/)'un kurulu olduğundan emin olun:
@@ -123,48 +197,30 @@ Yüksek kullanılabilirliğe sahip bir kurulum yapılandırmak isterseniz, Dify'
 - [@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)
- [@wyy-holding tarafından YAML dosyası](https://github.com/wyy-holding/dify-k8s)
- [🚀 YENİ! YAML dosyaları (Dify v1.6.0 destekli) @Zhoneym tarafından](https://github.com/Zhoneym/DifyAI-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 (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK tarafından @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management
-
-[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) kullanarak Dify'ı tek tıkla Alibaba Cloud'a dağıtın
-
-#### AKS'ye Dağıtım için Azure Devops Pipeline Kullanımı
-
-[Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) kullanarak Dify'ı tek tıkla AKS'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_TR.md) bakabilirsiniz.
+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-config/README.md) dosyasına bakın ve [Discord Topluluk Sunucumuzdaki](https://discord.gg/8Tpq4AcN9c) `global-users` kanalında bize bir yorum bırakın.
+> 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**

@@ -174,10 +230,10 @@ Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda p

 ## Topluluk & iletişim

- [GitHub Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
- [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın.
- [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
- [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
+* [Github Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
+* [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın.
+* [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
+* [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.

 ## Star history

@@ -1,204 +0,0 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
-
-<p align="center">
-  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">介紹 Dify 工作流程檔案上傳功能：重現 Google NotebookLM Podcast</a>
-</p>
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify 雲端服務</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">自行託管</a> ·
-  <a href="https://docs.dify.ai">說明文件</a> ·
-  <a href="https://dify.ai/pricing">產品方案概覽</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="chat on Discord"></a>
-    <a href="https://reddit.com/r/difyai" target="_blank">  
-        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
-            alt="join Reddit"></a>
-    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
-        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on X(Twitter)"></a>
-    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
-        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
-            alt="follow on LinkedIn"></a>
-    <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
-</p>
-
-<p align="center">
-  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_TW.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
-  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
-  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
-  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
-</p>
-
-Dify 是一個開源的 LLM 應用程式開發平台。其直觀的界面結合了智能代理工作流程、RAG 管道、代理功能、模型管理、可觀察性功能等，讓您能夠快速從原型進展到生產環境。
-
-## 快速開始
-
-> 安裝 Dify 之前，請確保您的機器符合以下最低系統要求：
->
-> - CPU >= 2 核心
-> - 記憶體 >= 4 GiB
-
-</br>
-
-啟動 Dify 伺服器最簡單的方式是透過 [docker compose](docker/docker-compose.yaml)。在使用以下命令運行 Dify 之前，請確保您的機器已安裝 [Docker](https://docs.docker.com/get-docker/) 和 [Docker Compose](https://docs.docker.com/compose/install/)：
-
-```bash
-cd dify
-cd docker
-cp .env.example .env
-docker compose up -d
-```
-
-運行後，您可以在瀏覽器中通過 [http://localhost/install](http://localhost/install) 訪問 Dify 儀表板並開始初始化過程。
-
-### 尋求幫助
-
-如果您在設置 Dify 時遇到問題，請參考我們的 [常見問題](https://docs.dify.ai/getting-started/install-self-hosted/faqs)。如果仍有疑問，請聯絡 [社區和我們](#community--contact)。
-
-> 如果您想為 Dify 做出貢獻或進行額外開發，請參考我們的 [從原始碼部署指南](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
-
-## 核心功能
-
-**1. 工作流程**：
-在視覺化畫布上建立和測試強大的 AI 工作流程，利用以下所有功能及更多。
-
-**2. 全面的模型支援**：
-無縫整合來自數十個推理提供商和自託管解決方案的數百個專有/開源 LLM，涵蓋 GPT、Mistral、Llama3 和任何與 OpenAI API 兼容的模型。您可以在[此處](https://docs.dify.ai/getting-started/readme/model-providers)找到支援的模型提供商完整列表。
-
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
-
-**3. 提示詞 IDE**：
-直觀的界面，用於編寫提示詞、比較模型性能，以及為聊天型應用程式添加文字轉語音等額外功能。
-
-**4. RAG 管道**：
-廣泛的 RAG 功能，涵蓋從文件擷取到檢索的全部流程，內建支援從 PDF、PPT 和其他常見文件格式提取文本。
-
-**5. 代理功能**：
-您可以基於 LLM 函數調用或 ReAct 定義代理，並為代理添加預構建或自定義工具。Dify 為 AI 代理提供 50 多種內建工具，如 Google 搜尋、DALL·E、Stable Diffusion 和 WolframAlpha。
-
-**6. LLMOps**：
-監控並分析應用程式日誌和長期效能。您可以根據生產數據和標註持續改進提示詞、數據集和模型。
-
-**7. 後端即服務**：
-Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify 整合到您自己的業務邏輯中。
-
-## 使用 Dify
-
- **雲端服務 </br>**
-  我們提供 [Dify Cloud](https://dify.ai) 服務，任何人都可以零配置嘗試。它提供與自部署版本相同的所有功能，並在沙盒計劃中包含 200 次免費 GPT-4 調用。
-
- **自託管 Dify 社區版</br>**
-  使用這份[快速指南](#%E5%BF%AB%E9%80%9F%E9%96%8B%E5%A7%8B)在您的環境中快速運行 Dify。
-  使用我們的[文檔](https://docs.dify.ai)獲取更多參考和深入指導。
-
- **企業/組織版 Dify</br>**
-  我們提供額外的企業中心功能。[通過這個聊天機器人記錄您的問題](https://udify.app/chat/22L1zSxg6yW1cWQg)或[發送電子郵件給我們](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry)討論企業需求。</br>
-
-  > 對於使用 AWS 的初創企業和小型企業，請查看 [AWS Marketplace 上的 Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)，並一鍵部署到您自己的 AWS VPC。這是一個經濟實惠的 AMI 產品，可選擇使用自定義徽標和品牌創建應用。
-
-## 保持領先
-
-在 GitHub 上為 Dify 加星，即時獲取新版本通知。
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-## 進階設定
-
-如果您需要自定義配置，請參考我們的 [.env.example](docker/.env.example) 文件中的註釋，並在您的 `.env` 文件中更新相應的值。此外，根據您特定的部署環境和需求，您可能需要調整 `docker-compose.yaml` 文件本身，例如更改映像版本、端口映射或卷掛載。進行任何更改後，請重新運行 `docker-compose up -d`。您可以在[這裡](https://docs.dify.ai/getting-started/install-self-hosted/environments)找到可用環境變數的完整列表。
-
-如果您想配置高可用性設置，社區貢獻的 [Helm Charts](https://helm.sh/) 和 Kubernetes 資源清單（YAML）允許在 Kubernetes 上部署 Dify。
-
- [由 @LeoQuote 提供的 Helm Chart](https://github.com/douban/charts/tree/master/charts/dify)
- [由 @BorisPolonsky 提供的 Helm Chart](https://github.com/BorisPolonsky/dify-helm)
- [由 @Winson-030 提供的 YAML 文件](https://github.com/Winson-030/dify-kubernetes)
- [由 @wyy-holding 提供的 YAML 文件](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML 檔案（支援 Dify v1.6.0）by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
-
-### 使用 Terraform 進行部署
-
-使用 [terraform](https://www.terraform.io/) 一鍵部署 Dify 到雲端平台
-
-### Azure 全球
-
- [由 @nikawang 提供的 Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
-
-### Google Cloud
-
- [由 @sotazum 提供的 Google Cloud Terraform](https://github.com/DeNA/dify-google-cloud-terraform)
-
-### 使用 AWS CDK 進行部署
-
-使用 [CDK](https://aws.amazon.com/cdk/) 部署 Dify 到 AWS
-
-### AWS
-
- [由 @KevinZhao 提供的 AWS CDK (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [由 @tmokmss 提供的 AWS CDK (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### 使用 阿里云计算巢進行部署
-
-[阿里云](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### 使用 阿里雲數據管理DMS 進行部署
-
-透過 [阿里雲數據管理DMS](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)，一鍵將 Dify 部署至阿里雲
-
-#### 使用 Azure Devops Pipeline 部署到AKS
-
-使用[Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) 將 Dify 一鍵部署到 AKS
-
-## 貢獻
-
-對於想要貢獻程式碼的開發者，請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING_TW.md)。
-同時，也請考慮透過在社群媒體和各種活動與會議上分享 Dify 來支持我們。
-
-> 我們正在尋找貢獻者協助將 Dify 翻譯成中文和英文以外的語言。如果您有興趣幫忙，請查看 [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) 獲取更多資訊，並在我們的 [Discord 社群伺服器](https://discord.gg/8Tpq4AcN9c) 的 `global-users` 頻道留言給我們。
-
-## 社群與聯絡方式
-
- [GitHub Discussion](https://github.com/langgenius/dify/discussions)：最適合分享反饋和提問。
- [GitHub Issues](https://github.com/langgenius/dify/issues)：最適合報告使用 Dify.AI 時遇到的問題和提出功能建議。請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
- [Discord](https://discord.gg/FngNHpbcY7)：最適合分享您的應用程式並與社群互動。
- [X(Twitter)](https://twitter.com/dify_ai)：最適合分享您的應用程式並與社群互動。
-
-**貢獻者**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## 星星歷史
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## 安全揭露
-
-為保護您的隱私，請避免在 GitHub 上發布安全性問題。請將您的問題發送至 security@dify.ai，我們將為您提供更詳細的答覆。
-
-## 授權條款
-
-本代碼庫採用 [Dify 開源授權](LICENSE)，這基本上是 Apache 2.0 授權加上一些額外限制條款。
@@ -1,10 +1,10 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![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://dify.ai/pricing">Tổng quan các lựa chọn sản phẩm Dify</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yêu cầu doanh nghiệp</a>
 </p>

 <p align="center">
@@ -45,61 +45,136 @@
  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>

+
 Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Giao diện trực quan kết hợp quy trình làm việc AI, mô hình RAG, khả năng tác nhân, quản lý mô hình, tính năng quan sát và hơn thế nữa, cho phép bạn nhanh chóng chuyển từ nguyên mẫu sang sản phẩm. Đây là danh sách các tính năng cốt lõi:
 </br> </br>

-**1. Quy trình làm việc**:
-Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.
+**1. Quy trình làm việc**: 
+  Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.

-**2. Hỗ trợ mô hình toàn diện**:
-Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/readme/model-providers).
+
+  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.
+**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. 

-**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.
+**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.

-**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.
+**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.

-**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.
+**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.
+Chúng tôi lưu trữ dịch vụ [Dify Cloud](https://dify.ai) cho bất kỳ ai muốn thử mà không cần cài đặt. Nó cung cấp tất cả các khả năng của phiên bản tự triển khai và bao gồm 200 lượt gọi GPT-4 miễn phí trong gói sandbox.

 - **Tự triển khai Dify Community Edition</br>**
-  Nhanh chóng chạy Dify trong môi trường của bạn với [hướng dẫn bắt đầu](#quick-start) này.
-  Sử dụng [tài liệu](https://docs.dify.ai) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn.
+Nhanh chóng chạy Dify trong môi trường của bạn với [hướng dẫn bắt đầu](#quick-start) này.
+Sử dụng [tài liệu](https://docs.dify.ai) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn.

 - **Dify cho doanh nghiệp / tổ chức</br>**
-  Chúng tôi cung cấp các tính năng bổ sung tập trung vào doanh nghiệp. [Ghi lại câu hỏi của bạn cho chúng tôi thông qua chatbot này](https://udify.app/chat/22L1zSxg6yW1cWQg) hoặc [gửi email cho chúng tôi](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) để thảo luận về nhu cầu doanh nghiệp. </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

+
+## Bắt đầu nhanh
 > Trước khi cài đặt Dify, hãy đảm bảo máy của bạn đáp ứng các yêu cầu hệ thống tối thiểu sau:
->
-> - CPU >= 2 Core
-> - RAM >= 4GB
+> 
+>- CPU >= 2 Core
+>- RAM >= 4GB

 </br>

@@ -124,48 +199,31 @@ Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có
 - [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)
- [Tệp YAML bởi @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 MỚI! Tệp YAML (Hỗ trợ Dify v1.6.0) bởi @Zhoneym](https://github.com/Zhoneym/DifyAI-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 (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK bởi @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Alibaba Cloud
-
-[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Alibaba Cloud Data Management
-
-Triển khai Dify lên Alibaba Cloud chỉ với một cú nhấp chuột bằng [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### Sử dụng Azure Devops Pipeline để Triển khai lên AKS
-
-Triển khai Dify lên AKS chỉ với một cú nhấp chuột bằng [Azure Devops Pipeline Helm Chart bởi @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
+##### 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_VI.md) của chúng tôi.
+Đối với những người muốn đóng góp mã, xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi. 
 Đồng thời, vui lòng xem xét hỗ trợ Dify bằng cách chia sẻ nó trên mạng xã hội và tại các sự kiện và hội nghị.

-> Chúng tôi đang tìm kiếm người đóng góp để giúp dịch Dify sang các ngôn ngữ khác ngoài tiếng Trung hoặc tiếng Anh. Nếu bạn quan tâm đến việc giúp đỡ, vui lòng xem [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) để biết thêm thông tin và để lại bình luận cho chúng tôi trong kênh `global-users` của [Máy chủ Cộng đồng Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi.
+
+> 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**

@@ -175,10 +233,10 @@ Triển khai Dify lên AKS chỉ với một cú nhấp chuột bằng [Azure De

 ## Cộng đồng & liên hệ

- [Thảo luận GitHub](https://github.com/langgenius/dify/discussions). Tốt nhất cho: chia sẻ phản hồi và đặt câu hỏi.
- [Vấn đề GitHub](https://github.com/langgenius/dify/issues). Tốt nhất cho: lỗi bạn gặp phải khi sử dụng Dify.AI và đề xuất tính năng. Xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
- [Discord](https://discord.gg/FngNHpbcY7). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
- [X(Twitter)](https://twitter.com/dify_ai). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
+* [Thảo luận GitHub](https://github.com/langgenius/dify/discussions). Tốt nhất cho: chia sẻ phản hồi và đặt câu hỏi.
+* [Vấn đề GitHub](https://github.com/langgenius/dify/issues). Tốt nhất cho: lỗi bạn gặp phải khi sử dụng Dify.AI và đề xuất tính năng. Xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
+* [Discord](https://discord.gg/FngNHpbcY7). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
+* [X(Twitter)](https://twitter.com/dify_ai). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.

 ## Lịch sử Yêu thích

@@ -16,4 +16,4 @@ logs
 .ruff_cache

 # venv
-.venv
+.venv
@@ -4,28 +4,18 @@
 # Alternatively you can set it with `SECRET_KEY` environment variable.
 SECRET_KEY=

-# Ensure UTF-8 encoding
-LANG=en_US.UTF-8
-LC_ALL=en_US.UTF-8
-PYTHONIOENCODING=utf-8
-
 # Console API base URL
-CONSOLE_API_URL=http://localhost:5001
-CONSOLE_WEB_URL=http://localhost:3000
+CONSOLE_API_URL=http://127.0.0.1:5001
+CONSOLE_WEB_URL=http://127.0.0.1:3000

 # Service API base URL
-SERVICE_API_URL=http://localhost:5001
+SERVICE_API_URL=http://127.0.0.1:5001

 # Web APP base URL
-APP_WEB_URL=http://localhost:3000
+APP_WEB_URL=http://127.0.0.1:3000

 # Files URL
-FILES_URL=http://localhost:5001
-
-# INTERNAL_FILES_URL is used for plugin daemon communication within Docker network.
-# Set this to the internal Docker service URL for proper plugin file access.
-# Example: INTERNAL_FILES_URL=http://api:5001
-INTERNAL_FILES_URL=http://127.0.0.1:5001
+FILES_URL=http://127.0.0.1:5001

 # The time in seconds after the signature is rejected
 FILES_ACCESS_TIMEOUT=300
@@ -36,21 +26,15 @@ 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
+
 # redis configuration
 REDIS_HOST=localhost
 REDIS_PORT=6379
 REDIS_USERNAME=
 REDIS_PASSWORD=difyai123456
 REDIS_USE_SSL=false
-# SSL configuration for Redis (when REDIS_USE_SSL=true)
-REDIS_SSL_CERT_REQS=CERT_NONE
-# Options: CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED
-REDIS_SSL_CA_CERTS=
-# Path to CA certificate file for SSL verification
-REDIS_SSL_CERTFILE=
-# Path to client certificate file for SSL authentication
-REDIS_SSL_KEYFILE=
-# Path to client private key file for SSL authentication
 REDIS_DB=0

 # redis Sentinel configuration.
@@ -66,9 +50,6 @@ REDIS_USE_CLUSTERS=false
 REDIS_CLUSTERS=
 REDIS_CLUSTERS_PASSWORD=

-# celery configuration
-CELERY_BROKER_URL=redis://:difyai123456@localhost:${REDIS_PORT}/1
-CELERY_BACKEND=redis
 # PostgreSQL database configuration
 DB_USERNAME=postgres
 DB_PASSWORD=difyai123456
@@ -152,14 +133,12 @@ SUPABASE_API_KEY=your-access-key
 SUPABASE_URL=your-server-url

 # CORS configuration
-WEB_API_CORS_ALLOW_ORIGINS=http://localhost:3000,*
-CONSOLE_CORS_ALLOW_ORIGINS=http://localhost:3000,*
+WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
+CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*

 # Vector database configuration
-# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `oracle`, `tencent`, `elasticsearch`, `elasticsearch-ja`, `analyticdb`, `couchbase`, `vikingdb`, `oceanbase`, `opengauss`, `tablestore`,`vastbase`,`tidb`,`tidb_on_qdrant`,`baidu`,`lindorm`,`huawei_cloud`,`upstash`, `matrixone`.
+# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase
 VECTOR_STORE=weaviate
-# Prefix used to create collection name in vector database
-VECTOR_INDEX_NAME_PREFIX=Vector_index

 # Weaviate configuration
 WEAVIATE_ENDPOINT=http://localhost:8080
@@ -173,7 +152,6 @@ QDRANT_API_KEY=difyai123456
 QDRANT_CLIENT_TIMEOUT=20
 QDRANT_GRPC_ENABLED=false
 QDRANT_GRPC_PORT=6334
-QDRANT_REPLICATION_FACTOR=1

 #Couchbase configuration
 COUCHBASE_CONNECTION_STRING=127.0.0.1
@@ -187,7 +165,6 @@ MILVUS_URI=http://127.0.0.1:19530
 MILVUS_TOKEN=
 MILVUS_USER=root
 MILVUS_PASSWORD=Milvus
-MILVUS_ANALYZER_PARAMS=

 # MyScale configuration
 MYSCALE_HOST=127.0.0.1
@@ -212,7 +189,6 @@ TENCENT_VECTOR_DB_USERNAME=dify
 TENCENT_VECTOR_DB_DATABASE=dify
 TENCENT_VECTOR_DB_SHARD=1
 TENCENT_VECTOR_DB_REPLICAS=2
-TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH=false

 # ElasticSearch configuration
 ELASTICSEARCH_HOST=127.0.0.1
@@ -236,13 +212,6 @@ PGVECTOR_DATABASE=postgres
 PGVECTOR_MIN_CONNECTION=1
 PGVECTOR_MAX_CONNECTION=5

-# TableStore Vector configuration
-TABLESTORE_ENDPOINT=https://instance-name.cn-hangzhou.ots.aliyuncs.com
-TABLESTORE_INSTANCE_NAME=instance-name
-TABLESTORE_ACCESS_KEY_ID=xxx
-TABLESTORE_ACCESS_KEY_SECRET=xxx
-TABLESTORE_NORMALIZE_FULLTEXT_BM25_SCORE=false
-
 # Tidb Vector configuration
 TIDB_VECTOR_HOST=xxx.eu-central-1.xxx.aws.tidbcloud.com
 TIDB_VECTOR_PORT=4000
@@ -292,7 +261,6 @@ OPENSEARCH_PORT=9200
 OPENSEARCH_USER=admin
 OPENSEARCH_PASSWORD=admin
 OPENSEARCH_SECURE=true
-OPENSEARCH_VERIFY_CERTS=true

 # Baidu configuration
 BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287
@@ -316,19 +284,11 @@ VIKINGDB_SCHEMA=http
 VIKINGDB_CONNECTION_TIMEOUT=30
 VIKINGDB_SOCKET_TIMEOUT=30

-# Matrixone configration
-MATRIXONE_HOST=127.0.0.1
-MATRIXONE_PORT=6001
-MATRIXONE_USER=dump
-MATRIXONE_PASSWORD=111
-MATRIXONE_DATABASE=dify
-
 # Lindorm configuration
 LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:30070
 LINDORM_USERNAME=admin
 LINDORM_PASSWORD=admin
 USING_UGC_INDEX=False
-LINDORM_QUERY_TIMEOUT=1

 # OceanBase Vector configuration
 OCEANBASE_VECTOR_HOST=127.0.0.1
@@ -337,16 +297,7 @@ OCEANBASE_VECTOR_USER=root@test
 OCEANBASE_VECTOR_PASSWORD=difyai123456
 OCEANBASE_VECTOR_DATABASE=test
 OCEANBASE_MEMORY_LIMIT=6G
-OCEANBASE_ENABLE_HYBRID_SEARCH=false

-# openGauss configuration
-OPENGAUSS_HOST=127.0.0.1
-OPENGAUSS_PORT=6600
-OPENGAUSS_USER=postgres
-OPENGAUSS_PASSWORD=Dify@123
-OPENGAUSS_DATABASE=dify
-OPENGAUSS_MIN_CONNECTION=1
-OPENGAUSS_MAX_CONNECTION=5

 # Upload configuration
 UPLOAD_FILE_SIZE_LIMIT=15
@@ -359,13 +310,10 @@ UPLOAD_AUDIO_FILE_SIZE_LIMIT=50
 MULTIMODAL_SEND_FORMAT=base64
 PROMPT_GENERATION_MAX_TOKENS=512
 CODE_GENERATION_MAX_TOKENS=1024
-PLUGIN_BASED_TOKEN_COUNTING_ENABLED=false

-# Mail configuration, support: resend, smtp, sendgrid
+# Mail configuration, support: resend, smtp
 MAIL_TYPE=
-# If using SendGrid, use the 'from' field for authentication if necessary.
 MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
-# resend configuration
 RESEND_API_KEY=
 RESEND_API_URL=https://api.resend.com
 # smtp configuration
@@ -375,14 +323,12 @@ SMTP_USERNAME=123
 SMTP_PASSWORD=abc
 SMTP_USE_TLS=true
 SMTP_OPPORTUNISTIC_TLS=false
-# Sendgid configuration
-SENDGRID_API_KEY=
+
 # Sentry configuration
 SENTRY_DSN=

 # DEBUG
 DEBUG=false
-ENABLE_REQUEST_LOGGING=False
 SQLALCHEMY_ECHO=false

 # Notion import configuration, support public and internal
@@ -432,7 +378,6 @@ 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
-HTTP_REQUEST_NODE_SSL_VERIFY=True

 # Respect X-* headers to redirect clients
 RESPECT_XFORWARD_HEADERS_ENABLED=false
@@ -460,32 +405,6 @@ WORKFLOW_CALL_MAX_DEPTH=5
 WORKFLOW_PARALLEL_DEPTH_LIMIT=3
 MAX_VARIABLE_SIZE=204800

-# Workflow storage configuration
-# Options: rdbms, hybrid
-# rdbms: Use only the relational database (default)
-# hybrid: Save new data to object storage, read from both object storage and RDBMS
-WORKFLOW_NODE_EXECUTION_STORAGE=rdbms
-
-# Repository configuration
-# Core workflow execution repository implementation
-CORE_WORKFLOW_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository
-
-# Core workflow node execution repository implementation
-CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository
-
-# API workflow node execution repository implementation
-API_WORKFLOW_NODE_EXECUTION_REPOSITORY=repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository
-
-# API workflow run repository implementation
-API_WORKFLOW_RUN_REPOSITORY=repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository
-# Workflow log cleanup configuration
-# Enable automatic cleanup of workflow run logs to manage database size
-WORKFLOW_LOG_CLEANUP_ENABLED=true
-# Number of days to retain workflow run logs (default: 30 days)
-WORKFLOW_LOG_RETENTION_DAYS=30
-# Batch size for workflow log cleanup operations (default: 100)
-WORKFLOW_LOG_CLEANUP_BATCH_SIZE=100
-
 # App configuration
 APP_MAX_EXECUTION_TIME=1200
 APP_MAX_ACTIVE_REQUESTS=0
@@ -493,16 +412,6 @@ APP_MAX_ACTIVE_REQUESTS=0
 # Celery beat configuration
 CELERY_BEAT_SCHEDULER_TIME=1

-# Celery schedule tasks configuration
-ENABLE_CLEAN_EMBEDDING_CACHE_TASK=false
-ENABLE_CLEAN_UNUSED_DATASETS_TASK=false
-ENABLE_CREATE_TIDB_SERVERLESS_TASK=false
-ENABLE_UPDATE_TIDB_SERVERLESS_STATUS_TASK=false
-ENABLE_CLEAN_MESSAGES=false
-ENABLE_MAIL_CLEAN_DOCUMENT_NOTIFY_TASK=false
-ENABLE_DATASETS_QUEUE_MONITOR=false
-ENABLE_CHECK_UPGRADABLE_PLUGIN_TASK=true
-
 # Position configuration
 POSITION_TOOL_PINS=
 POSITION_TOOL_INCLUDES=
@@ -518,6 +427,7 @@ PLUGIN_DAEMON_URL=http://127.0.0.1:5002
 PLUGIN_REMOTE_INSTALL_PORT=5003
 PLUGIN_REMOTE_INSTALL_HOST=localhost
 PLUGIN_MAX_PACKAGE_SIZE=15728640
+INNER_API_KEY=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
 INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1

 # Marketplace configuration
@@ -529,42 +439,10 @@ ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id}

 # Reset password token expiry minutes
 RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
-CHANGE_EMAIL_TOKEN_EXPIRY_MINUTES=5
-OWNER_TRANSFER_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
-
-# Enable OpenTelemetry
-ENABLE_OTEL=false
-OTLP_TRACE_ENDPOINT=
-OTLP_METRIC_ENDPOINT=
-OTLP_BASE_ENDPOINT=http://localhost:4318
-OTLP_API_KEY=
-OTEL_EXPORTER_OTLP_PROTOCOL=
-OTEL_EXPORTER_TYPE=otlp
-OTEL_SAMPLING_RATE=0.1
-OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000
-OTEL_MAX_QUEUE_SIZE=2048
-OTEL_MAX_EXPORT_BATCH_SIZE=512
-OTEL_METRIC_EXPORT_INTERVAL=60000
-OTEL_BATCH_EXPORT_TIMEOUT=10000
-OTEL_METRIC_EXPORT_TIMEOUT=30000
-
-# Prevent Clickjacking
-ALLOW_EMBED=false
-
-# Dataset queue monitor configuration
-QUEUE_MONITOR_THRESHOLD=200
-# You can configure multiple ones, separated by commas. eg: test1@dify.ai,test2@dify.ai
-QUEUE_MONITOR_ALERT_EMAILS=
-# Monitor interval in minutes, default is 30 minutes
-QUEUE_MONITOR_INTERVAL=30
-
-# Swagger UI configuration
-SWAGGER_UI_ENABLED=true
-SWAGGER_UI_PATH=/swagger-ui.html
+LOGIN_LOCKOUT_DURATION=86400
@@ -1,84 +1,77 @@
-exclude = ["migrations/*"]
+exclude = [
+    "migrations/*",
+]
 line-length = 120

 [format]
 quote-style = "double"

 [lint]
-preview = false
+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
+    "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
-    # security related linting rules
-    # RCE proctection (sort of)
-    "S102", # exec-builtin, disallow use of `exec`
-    "S307", # suspicious-eval-usage, disallow use of `eval` and `ast.literal_eval`
-    "S301", # suspicious-pickle-usage, disallow use of `pickle` and its wrappers.
-    "S302", # suspicious-marshal-usage, disallow use of `marshal` module
-    "S311", # suspicious-non-cryptographic-random-usage
-    "G001", # don't use str format to logging messages
-    "G003", # don't use + in logging messages
-    "G004", # don't use f-strings to format logging messages
+    "RUF013", # implicit-optional
+    "RUF019", # unnecessary-key-check
+    "RUF100", # unused-noqa
+    "RUF101", # redirected-noqa
+    "RUF200", # invalid-pyproject-toml
+    "RUF022", # unsorted-dunder-all
+    "S506", # unsafe-yaml-load
+    "SIM", # flake8-simplify rules
+    "TRY400", # error-instead-of-exception
+    "TRY401", # verbose-log-message
+    "UP", # pyupgrade rules
+    "W191", # tab-indentation
+    "W605", # invalid-escape-sequence
 ]

 ignore = [
-    "E402",    # module-import-not-at-top-of-file
-    "E711",    # none-comparison
-    "E712",    # true-false-comparison
-    "E721",    # type-comparison
-    "E722",    # bare-except
-    "F821",    # undefined-name
-    "F841",    # unused-variable
+    "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
-    "UP045",   # non-pep604-annotation-optional
-    "B005",    # strip-with-multi-characters
-    "B006",    # mutable-argument-default
-    "B007",    # unused-loop-control-variable
-    "B026",    # star-arg-unpacking-after-keyword-arg
-    "B903",    # class-as-data-structure
-    "B904",    # raise-without-from-inside-except
-    "B905",    # zip-without-explicit-strict
-    "N806",    # non-lowercase-variable-in-function
-    "N815",    # mixed-case-variable-in-class-scope
-    "PT011",   # pytest-raises-too-broad
-    "SIM102",  # collapsible-if
-    "SIM103",  # needless-bool
-    "SIM105",  # suppressible-exception
-    "SIM107",  # return-in-try-except-finally
-    "SIM108",  # if-else-block-instead-of-if-exp
-    "SIM113",  # enumerate-for-loop
-    "SIM117",  # multiple-with-statements
-    "SIM210",  # if-expr-with-true-false
-    "UP038",   # deprecated and not recommended by Ruff, https://docs.astral.sh/ruff/rules/non-pep604-isinstance/
+    "UP007", # non-pep604-annotation
+    "UP032", # f-string
+    "UP045", # non-pep604-annotation-optional
+    "B005", # strip-with-multi-characters
+    "B006", # mutable-argument-default
+    "B007", # unused-loop-control-variable
+    "B026", # star-arg-unpacking-after-keyword-arg
+    "B903", # class-as-data-structure
+    "B904", # raise-without-from-inside-except
+    "B905", # zip-without-explicit-strict
+    "N806", # non-lowercase-variable-in-function
+    "N815", # mixed-case-variable-in-class-scope
+    "PT011", # pytest-raises-too-broad
+    "SIM102", # collapsible-if
+    "SIM103", # needless-bool
+    "SIM105", # suppressible-exception
+    "SIM107", # return-in-try-except-finally
+    "SIM108", # if-else-block-instead-of-if-exp
+    "SIM113", # enumerate-for-loop
+    "SIM117", # multiple-with-statements
+    "SIM210", # if-expr-with-true-false
 ]

 [lint.per-file-ignores]
@@ -3,11 +3,20 @@ FROM python:3.12-slim-bookworm AS base

 WORKDIR /app/api

-# Install uv
-ENV UV_VERSION=0.8.9
+# Install Poetry
+ENV POETRY_VERSION=2.0.1

-RUN pip install --no-cache-dir uv==${UV_VERSION}
+# if you located in China, you can use aliyun mirror to speed up
+# RUN pip install --no-cache-dir poetry==${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

@@ -18,8 +27,8 @@ 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 uv.lock ./
-RUN uv sync --locked --no-dev
+COPY pyproject.toml poetry.lock ./
+RUN poetry install --sync --no-cache --no-root

 # production stage
 FROM base AS production
@@ -37,11 +46,6 @@ EXPOSE 5001
 # set timezone
 ENV TZ=UTC

-# Set UTF-8 locale
-ENV LANG=en_US.UTF-8
-ENV LC_ALL=en_US.UTF-8
-ENV PYTHONIOENCODING=utf-8
-
 WORKDIR /app/api

 RUN \
@@ -51,11 +55,9 @@ RUN \
        # basic environment
        curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
        # For Security
-        expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
-        # install fonts to support the use of tools like pypdfium2
+        # expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
+        # install a chinese font to support the use of tools like matplotlib
        fonts-noto-cjk \
-        # install a package to improve the accuracy of guessing mime type and file extension
-        media-types \
        # install libmagic to support the use of python-magic guess MIMETYPE
        libmagic1 \
    && apt-get autoremove -y \
@@ -3,10 +3,7 @@
 ## Usage

 > [!IMPORTANT]
->
-> In the v1.3.0 release, `poetry` has been replaced with
-> [`uv`](https://docs.astral.sh/uv/) as the package manager
-> for Dify API backend service.
+> 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

@@ -20,93 +17,67 @@
   cd ../api
   ```

-1. Copy `.env.example` to `.env`
+2. Copy `.env.example` to `.env`

   ```cli
-   cp .env.example .env
+   cp .env.example .env 
   ```
-
-1. Generate a `SECRET_KEY` in the `.env` file.
+3. Generate a `SECRET_KEY` in the `.env` file.

   bash for Linux
-
   ```bash for Linux
   sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
   ```
-
   bash for Mac
-
   ```bash for Mac
   secret_key=$(openssl rand -base64 42)
   sed -i '' "/^SECRET_KEY=/c\\
   SECRET_KEY=${secret_key}" .env
   ```

-1. Create environment.
+4. Create environment.

-   Dify API service uses [UV](https://docs.astral.sh/uv/) to manage dependencies.
-   First, you need to add the uv package manager, if you don't have it already.
+   Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. You can execute `poetry shell` to activate the environment.
+
+5. Install dependencies

   ```bash
-   pip install uv
-   # Or on macOS
-   brew install uv
+   poetry env use 3.12
+   poetry install
   ```

-1. Install dependencies
-
-   ```bash
-   uv sync --dev
-   ```
-
-1. Run migrate
+6. Run migrate

   Before the first launch, migrate the database to the latest version.

   ```bash
-   uv run flask db upgrade
+   poetry run python -m flask db upgrade
   ```

-1. Start backend
+7. Start backend

   ```bash
-   uv run flask run --host 0.0.0.0 --port=5001 --debug
+   poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug
   ```

-1. Start Dify [web](../web) service.
+8. Start Dify [web](../web) service.
+9. Setup your application by visiting `http://localhost:3000`...
+10. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.

-1. Setup your application by visiting `http://localhost:3000`.
-
-1. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
-
-```bash
-uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation
-```
-
-Addition, if you want to debug the celery scheduled tasks, you can use the following command in another terminal:
-
-```bash
-uv run celery -A app.celery beat
-```
+   ```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
-   uv sync --dev
+   poetry install -C api --with dev
   ```

-1. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`, more can check [Claude.md](../CLAUDE.md)
+2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`

   ```bash
-   uv run pytest                           # Run all tests
-   uv run pytest tests/unit_tests/         # Unit tests only
-   uv run pytest tests/integration_tests/  # Integration tests
-
-   # Code quality
-   ../dev/reformat               # Run all formatters and linters
-   uv run ruff check --fix ./    # Fix linting issues
-   uv run ruff format ./         # Format code
-   uv run mypy .                 # Type checking
+   poetry run -P api bash dev/pytest/pytest_all_tests.sh
   ```
@@ -18,7 +18,7 @@ else:
    # 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
+        from gevent import monkey  # type: ignore

        # gevent
        monkey.patch_all()
@@ -2,11 +2,8 @@ import logging
 import time

 from configs import dify_config
-from contexts.wrapper import RecyclableContextVar
 from dify_app import DifyApp

-logger = logging.getLogger(__name__)
-

 # ----------------------------
 # Application Factory Function
@@ -19,12 +16,6 @@ def create_flask_app_with_configs() -> DifyApp:
    dify_app = DifyApp(__name__)
    dify_app.config.from_mapping(dify_config.model_dump())

-    # add before request hook
-    @dify_app.before_request
-    def before_request():
-        # add an unique identifier to each request
-        RecyclableContextVar.increment_thread_recycles()
-
    return dify_app


@@ -34,7 +25,7 @@ def create_app() -> DifyApp:
    initialize_extensions(app)
    end_time = time.perf_counter()
    if dify_config.DEBUG:
-        logger.info("Finished create_app (%s ms)", round((end_time - start_time) * 1000, 2))
+        logging.info(f"Finished create_app ({round((end_time - start_time) * 1000, 2)} ms)")
    return app


@@ -53,11 +44,8 @@ def initialize_extensions(app: DifyApp):
        ext_login,
        ext_mail,
        ext_migrate,
-        ext_orjson,
-        ext_otel,
        ext_proxy_fix,
        ext_redis,
-        ext_request_logging,
        ext_sentry,
        ext_set_secretkey,
        ext_storage,
@@ -70,7 +58,6 @@ def initialize_extensions(app: DifyApp):
        ext_logging,
        ext_warnings,
        ext_import_modules,
-        ext_orjson,
        ext_set_secretkey,
        ext_compress,
        ext_code_based_extension,
@@ -87,22 +74,20 @@ def initialize_extensions(app: DifyApp):
        ext_proxy_fix,
        ext_blueprints,
        ext_commands,
-        ext_otel,
-        ext_request_logging,
    ]
    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:
-                logger.info("Skipped %s", short_name)
+                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:
-            logger.info("Loaded %s (%s ms)", short_name, round((end_time - start_time) * 1000, 2))
+            logging.info(f"Loaded {short_name} ({round((end_time - start_time) * 1000, 2)} ms)")


 def create_migrations_app():
@@ -1,11 +0,0 @@
-from tests.integration_tests.utils.parent_class import ParentClass
-
-
-class ChildClass(ParentClass):
-    """Test child class for module import helper tests"""
-
-    def __init__(self, name):
-        super().__init__(name)
-
-    def get_name(self):
-        return f"Child: {self.name}"
@@ -1,22 +1,17 @@
 import logging
-from pathlib import Path
 from typing import Any

 from pydantic.fields import FieldInfo
-from pydantic_settings import BaseSettings, PydanticBaseSettingsSource, SettingsConfigDict, TomlConfigSettingsSource
-
-from libs.file_utils import search_file_upwards
+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 .observability import ObservabilityConfig
 from .packaging import PackagingInfo
 from .remote_settings_sources import RemoteSettingsSource, RemoteSettingsSourceConfig, RemoteSettingsSourceName
 from .remote_settings_sources.apollo import ApolloSettingsSource
-from .remote_settings_sources.nacos import NacosSettingsSource

 logger = logging.getLogger(__name__)

@@ -38,10 +33,8 @@ class RemoteSettingsSourceFactory(PydanticBaseSettingsSource):
        match remote_source_name:
            case RemoteSettingsSourceName.APOLLO:
                remote_source = ApolloSettingsSource(current_state)
-            case RemoteSettingsSourceName.NACOS:
-                remote_source = NacosSettingsSource(current_state)
            case _:
-                logger.warning("Unsupported remote source: %s", remote_source_name)
+                logger.warning(f"Unsupported remote source: {remote_source_name}")
                return {}

        d: dict[str, Any] = {}
@@ -66,8 +59,6 @@ class DifyConfig(
    MiddlewareConfig,
    # Extra service configs
    ExtraServiceConfig,
-    # Observability configs
-    ObservabilityConfig,
    # Remote source configs
    RemoteSettingsSourceConfig,
    # Enterprise feature configs
@@ -102,12 +93,4 @@ class DifyConfig(
            RemoteSettingsSourceFactory(settings_cls),
            dotenv_settings,
            file_secret_settings,
-            TomlConfigSettingsSource(
-                settings_cls=settings_cls,
-                toml_file=search_file_upwards(
-                    base_dir_path=Path(__file__).parent,
-                    target_file_name="pyproject.toml",
-                    max_search_parent_depth=2,
-                ),
-            ),
        )
@@ -17,12 +17,6 @@ class DeploymentConfig(BaseSettings):
        default=False,
    )

-    # Request logging configuration
-    ENABLE_REQUEST_LOGGING: bool = Field(
-        description="Enable request and response body logging",
-        default=False,
-    )
-
    EDITION: str = Field(
        description="Deployment edition of the application (e.g., 'SELF_HOSTED', 'CLOUD')",
        default="SELF_HOSTED",
@@ -1,4 +1,4 @@
-from typing import Literal, Optional
+from typing import Annotated, Literal, Optional

 from pydantic import (
    AliasChoices,
@@ -12,7 +12,7 @@ from pydantic import (
 )
 from pydantic_settings import BaseSettings

-from .hosted_service import HostedServiceConfig
+from configs.feature.hosted_service import HostedServiceConfig


 class SecurityConfig(BaseSettings):
@@ -31,15 +31,6 @@ class SecurityConfig(BaseSettings):
        description="Duration in minutes for which a password reset token remains valid",
        default=5,
    )
-    CHANGE_EMAIL_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
-        description="Duration in minutes for which a change email token remains valid",
-        default=5,
-    )
-
-    OWNER_TRANSFER_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
-        description="Duration in minutes for which a owner transfer token remains valid",
-        default=5,
-    )

    LOGIN_DISABLED: bool = Field(
        description="Whether to disable login checks",
@@ -70,10 +61,6 @@ class AppExecutionConfig(BaseSettings):
        description="Maximum number of concurrent active requests per app (0 for unlimited)",
        default=0,
    )
-    APP_DAILY_RATE_LIMIT: NonNegativeInt = Field(
-        description="Maximum number of requests per app per day",
-        default=5000,
-    )


 class CodeExecutionSandboxConfig(BaseSettings):
@@ -83,7 +70,7 @@ class CodeExecutionSandboxConfig(BaseSettings):

    CODE_EXECUTION_ENDPOINT: HttpUrl = Field(
        description="URL endpoint for the code execution service",
-        default=HttpUrl("http://sandbox:8194"),
+        default="http://sandbox:8194",
    )

    CODE_EXECUTION_API_KEY: str = Field(
@@ -154,7 +141,7 @@ class PluginConfig(BaseSettings):

    PLUGIN_DAEMON_URL: HttpUrl = Field(
        description="Plugin API URL",
-        default=HttpUrl("http://localhost:5002"),
+        default="http://localhost:5002",
    )

    PLUGIN_DAEMON_KEY: str = Field(
@@ -197,7 +184,7 @@ class MarketplaceConfig(BaseSettings):

    MARKETPLACE_API_URL: HttpUrl = Field(
        description="Marketplace API URL",
-        default=HttpUrl("https://marketplace.dify.ai"),
+        default="https://marketplace.dify.ai",
    )


@@ -246,13 +233,6 @@ class FileAccessConfig(BaseSettings):
        default="",
    )

-    INTERNAL_FILES_URL: str = Field(
-        description="Internal base URL for file access within Docker network,"
-        " used for plugin daemon and internal service communication."
-        " Falls back to FILES_URL if not specified.",
-        default="",
-    )
-
    FILES_ACCESS_TIMEOUT: int = Field(
        description="Expiration time in seconds for file access URLs",
        default=300,
@@ -330,17 +310,17 @@ class HttpConfig(BaseSettings):
    def WEB_API_CORS_ALLOW_ORIGINS(self) -> list[str]:
        return self.inner_WEB_API_CORS_ALLOW_ORIGINS.split(",")

-    HTTP_REQUEST_MAX_CONNECT_TIMEOUT: int = Field(
-        ge=1, description="Maximum connection timeout in seconds for HTTP requests", default=10
-    )
+    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: int = Field(
-        ge=1, description="Maximum read timeout in seconds for HTTP requests", default=60
-    )
+    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: int = Field(
-        ge=1, description="Maximum write timeout in seconds for HTTP requests", default=20
-    )
+    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",
@@ -352,11 +332,6 @@ class HttpConfig(BaseSettings):
        default=1 * 1024 * 1024,
    )

-    HTTP_REQUEST_NODE_SSL_VERIFY: bool = Field(
-        description="Enable or disable SSL verification for HTTP requests",
-        default=True,
-    )
-
    SSRF_DEFAULT_MAX_RETRIES: PositiveInt = Field(
        description="Maximum number of retries for network requests (SSRF)",
        default=3,
@@ -398,8 +373,8 @@ class HttpConfig(BaseSettings):
    )

    RESPECT_XFORWARD_HEADERS_ENABLED: bool = Field(
-        description="Enable handling of X-Forwarded-For, X-Forwarded-Proto, and X-Forwarded-Port headers"
-        " when the app is behind a single trusted reverse proxy.",
+        description="Enable or disable the X-Forwarded-For Proxy Fix middleware from Werkzeug"
+        " to respect X-* headers to redirect clients",
        default=False,
    )

@@ -463,7 +438,7 @@ class LoggingConfig(BaseSettings):

 class ModelLoadBalanceConfig(BaseSettings):
    """
-    Configuration for model load balancing and token counting
+    Configuration for model load balancing
    """

    MODEL_LB_ENABLED: bool = Field(
@@ -471,11 +446,6 @@ class ModelLoadBalanceConfig(BaseSettings):
        default=False,
    )

-    PLUGIN_BASED_TOKEN_COUNTING_ENABLED: bool = Field(
-        description="Enable or disable plugin based token counting. If disabled, token counting will return 0.",
-        default=False,
-    )
-

 class BillingConfig(BaseSettings):
    """
@@ -540,44 +510,6 @@ class WorkflowNodeExecutionConfig(BaseSettings):
        default=100,
    )

-    WORKFLOW_NODE_EXECUTION_STORAGE: str = Field(
-        default="rdbms",
-        description="Storage backend for WorkflowNodeExecution. Options: 'rdbms', 'hybrid'",
-    )
-
-
-class RepositoryConfig(BaseSettings):
-    """
-    Configuration for repository implementations
-    """
-
-    CORE_WORKFLOW_EXECUTION_REPOSITORY: str = Field(
-        description="Repository implementation for WorkflowExecution. Options: "
-        "'core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository' (default), "
-        "'core.repositories.celery_workflow_execution_repository.CeleryWorkflowExecutionRepository'",
-        default="core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository",
-    )
-
-    CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY: str = Field(
-        description="Repository implementation for WorkflowNodeExecution. Options: "
-        "'core.repositories.sqlalchemy_workflow_node_execution_repository."
-        "SQLAlchemyWorkflowNodeExecutionRepository' (default), "
-        "'core.repositories.celery_workflow_node_execution_repository."
-        "CeleryWorkflowNodeExecutionRepository'",
-        default="core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository",
-    )
-
-    API_WORKFLOW_NODE_EXECUTION_REPOSITORY: str = Field(
-        description="Service-layer repository implementation for WorkflowNodeExecutionModel operations. "
-        "Specify as a module path",
-        default="repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository",
-    )
-
-    API_WORKFLOW_RUN_REPOSITORY: str = Field(
-        description="Service-layer repository implementation for WorkflowRun operations. Specify as a module path",
-        default="repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository",
-    )
-

 class AuthConfig(BaseSettings):
    """
@@ -629,16 +561,6 @@ class AuthConfig(BaseSettings):
        default=86400,
    )

-    CHANGE_EMAIL_LOCKOUT_DURATION: PositiveInt = Field(
-        description="Time (in seconds) a user must wait before retrying change email after exceeding the rate limit.",
-        default=86400,
-    )
-
-    OWNER_TRANSFER_LOCKOUT_DURATION: PositiveInt = Field(
-        description="Time (in seconds) a user must wait before retrying owner transfer after exceeding the rate limit.",
-        default=86400,
-    )
-

 class ModerationConfig(BaseSettings):
    """
@@ -668,7 +590,7 @@ class MailConfig(BaseSettings):
    """

    MAIL_TYPE: Optional[str] = Field(
-        description="Email service provider type ('smtp' or 'resend' or 'sendGrid), default to None.",
+        description="Email service provider type ('smtp' or 'resend'), default to None.",
        default=None,
    )

@@ -722,11 +644,6 @@ class MailConfig(BaseSettings):
        default=50,
    )

-    SENDGRID_API_KEY: Optional[str] = Field(
-        description="API key for SendGrid service",
-        default=None,
-    )
-

 class RagEtlConfig(BaseSettings):
    """
@@ -838,41 +755,6 @@ class CeleryBeatConfig(BaseSettings):
    )


-class CeleryScheduleTasksConfig(BaseSettings):
-    ENABLE_CLEAN_EMBEDDING_CACHE_TASK: bool = Field(
-        description="Enable clean embedding cache task",
-        default=False,
-    )
-    ENABLE_CLEAN_UNUSED_DATASETS_TASK: bool = Field(
-        description="Enable clean unused datasets task",
-        default=False,
-    )
-    ENABLE_CREATE_TIDB_SERVERLESS_TASK: bool = Field(
-        description="Enable create tidb service job task",
-        default=False,
-    )
-    ENABLE_UPDATE_TIDB_SERVERLESS_STATUS_TASK: bool = Field(
-        description="Enable update tidb service job status task",
-        default=False,
-    )
-    ENABLE_CLEAN_MESSAGES: bool = Field(
-        description="Enable clean messages task",
-        default=False,
-    )
-    ENABLE_MAIL_CLEAN_DOCUMENT_NOTIFY_TASK: bool = Field(
-        description="Enable mail clean document notify task",
-        default=False,
-    )
-    ENABLE_DATASETS_QUEUE_MONITOR: bool = Field(
-        description="Enable queue monitor task",
-        default=False,
-    )
-    ENABLE_CHECK_UPGRADABLE_PLUGIN_TASK: bool = Field(
-        description="Enable check upgradable plugin task",
-        default=True,
-    )
-
-
 class PositionConfig(BaseSettings):
    POSITION_PROVIDER_PINS: str = Field(
        description="Comma-separated list of pinned model providers",
@@ -962,31 +844,6 @@ class AccountConfig(BaseSettings):
        default=5,
    )

-    EDUCATION_ENABLED: bool = Field(
-        description="whether to enable education identity",
-        default=False,
-    )
-
-
-class WorkflowLogConfig(BaseSettings):
-    WORKFLOW_LOG_CLEANUP_ENABLED: bool = Field(default=True, description="Enable workflow run log cleanup")
-    WORKFLOW_LOG_RETENTION_DAYS: int = Field(default=30, description="Retention days for workflow run logs")
-    WORKFLOW_LOG_CLEANUP_BATCH_SIZE: int = Field(
-        default=100, description="Batch size for workflow run log cleanup operations"
-    )
-
-
-class SwaggerUIConfig(BaseSettings):
-    SWAGGER_UI_ENABLED: bool = Field(
-        description="Whether to enable Swagger UI in api module",
-        default=True,
-    )
-
-    SWAGGER_UI_PATH: str = Field(
-        description="Swagger UI page path in api module",
-        default="/swagger-ui.html",
-    )
-

 class FeatureConfig(
    # place the configs in alphabet order
@@ -1010,7 +867,6 @@ class FeatureConfig(
    MultiModalTransferConfig,
    PositionConfig,
    RagEtlConfig,
-    RepositoryConfig,
    SecurityConfig,
    ToolConfig,
    UpdateConfig,
@@ -1019,11 +875,8 @@ class FeatureConfig(
    WorkspaceConfig,
    LoginConfig,
    AccountConfig,
-    SwaggerUIConfig,
    # hosted services config
    HostedServiceConfig,
    CeleryBeatConfig,
-    CeleryScheduleTasksConfig,
-    WorkflowLogConfig,
 ):
    pass
@@ -1,6 +1,6 @@
 from typing import Optional

-from pydantic import Field, NonNegativeInt
+from pydantic import Field, NonNegativeInt, computed_field
 from pydantic_settings import BaseSettings


@@ -1,8 +1,7 @@
-import os
 from typing import Any, Literal, Optional
-from urllib.parse import parse_qsl, quote_plus
+from urllib.parse import quote_plus

-from pydantic import Field, NonNegativeFloat, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
+from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
 from pydantic_settings import BaseSettings

 from .cache.redis_config import RedisConfig
@@ -10,7 +9,6 @@ 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.clickzetta_volume_storage_config import ClickZettaVolumeStorageConfig
 from .storage.google_cloud_storage_config import GoogleCloudStorageConfig
 from .storage.huawei_obs_storage_config import HuaweiCloudOBSStorageConfig
 from .storage.oci_storage_config import OCIStorageConfig
@@ -21,28 +19,22 @@ 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.clickzetta_config import ClickzettaConfig
 from .vdb.couchbase_config import CouchbaseConfig
 from .vdb.elasticsearch_config import ElasticsearchConfig
-from .vdb.huawei_cloud_config import HuaweiCloudConfig
 from .vdb.lindorm_config import LindormConfig
-from .vdb.matrixone_config import MatrixoneConfig
 from .vdb.milvus_config import MilvusConfig
 from .vdb.myscale_config import MyScaleConfig
 from .vdb.oceanbase_config import OceanBaseVectorConfig
-from .vdb.opengauss_config import OpenGaussConfig
 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.tablestore_config import TableStoreConfig
 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.vastbase_vector_config import VastbaseVectorConfig
 from .vdb.vikingdb_config import VikingDBConfig
 from .vdb.weaviate_config import WeaviateConfig

@@ -54,7 +46,6 @@ class StorageConfig(BaseSettings):
        "aliyun-oss",
        "azure-blob",
        "baidu-obs",
-        "clickzetta-volume",
        "google-storage",
        "huawei-obs",
        "oci-storage",
@@ -64,9 +55,8 @@ class StorageConfig(BaseSettings):
        "local",
    ] = Field(
        description="Type of storage to use."
-        " Options: 'opendal', '(deprecated) local', 's3', 'aliyun-oss', 'azure-blob', 'baidu-obs', "
-        "'clickzetta-volume', 'google-storage', 'huawei-obs', 'oci-storage', 'tencent-cos', "
-        "'volcengine-tos', 'supabase'. Default is 'opendal'.",
+        " 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",
    )

@@ -89,11 +79,6 @@ class VectorStoreConfig(BaseSettings):
        default=False,
    )

-    VECTOR_INDEX_NAME_PREFIX: Optional[str] = Field(
-        description="Prefix used to create collection name in vector database",
-        default="Vector_index",
-    )
-

 class KeywordStoreConfig(BaseSettings):
    KEYWORD_STORE: str = Field(
@@ -144,8 +129,7 @@ class DatabaseConfig(BaseSettings):
        default="postgresql",
    )

-    @computed_field  # type: ignore[misc]
-    @property
+    @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
@@ -172,11 +156,6 @@ class DatabaseConfig(BaseSettings):
        default=3600,
    )

-    SQLALCHEMY_POOL_USE_LIFO: bool = Field(
-        description="If True, SQLAlchemy will use last-in-first-out way to retrieve connections from pool.",
-        default=False,
-    )
-
    SQLALCHEMY_POOL_PRE_PING: bool = Field(
        description="If True, enables connection pool pre-ping feature to check connections.",
        default=False,
@@ -187,42 +166,21 @@ class DatabaseConfig(BaseSettings):
        default=False,
    )

-    RETRIEVAL_SERVICE_EXECUTORS: NonNegativeInt = Field(
-        description="Number of processes for the retrieval service, default to CPU cores.",
-        default=os.cpu_count() or 1,
-    )
-
-    @computed_field  # type: ignore[misc]
-    @property
+    @computed_field
    def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
-        # Parse DB_EXTRAS for 'options'
-        db_extras_dict = dict(parse_qsl(self.DB_EXTRAS))
-        options = db_extras_dict.get("options", "")
-        # Always include timezone
-        timezone_opt = "-c timezone=UTC"
-        if options:
-            # Merge user options and timezone
-            merged_options = f"{options} {timezone_opt}"
-        else:
-            merged_options = timezone_opt
-
-        connect_args = {"options": merged_options}
-
        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": connect_args,
-            "pool_use_lifo": self.SQLALCHEMY_POOL_USE_LIFO,
-            "pool_reset_on_return": None,
+            "connect_args": {"options": "-c timezone=UTC"},
        }


 class CeleryConfig(DatabaseConfig):
    CELERY_BACKEND: str = Field(
-        description="Backend for Celery task results. Options: 'database', 'redis', 'rabbitmq'.",
-        default="redis",
+        description="Backend for Celery task results. Options: 'database', 'redis'.",
+        default="database",
    )

    CELERY_BROKER_URL: Optional[str] = Field(
@@ -240,10 +198,6 @@ class CeleryConfig(DatabaseConfig):
        default=None,
    )

-    CELERY_SENTINEL_PASSWORD: Optional[str] = Field(
-        description="Password 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,
@@ -251,12 +205,11 @@ class CeleryConfig(DatabaseConfig):

    @computed_field
    def CELERY_RESULT_BACKEND(self) -> str | None:
-        if self.CELERY_BACKEND in ("database", "rabbitmq"):
-            return f"db+{self.SQLALCHEMY_DATABASE_URI}"
-        elif self.CELERY_BACKEND == "redis":
-            return self.CELERY_BROKER_URL
-        else:
-            return 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:
@@ -279,25 +232,6 @@ class InternalTestConfig(BaseSettings):
    )


-class DatasetQueueMonitorConfig(BaseSettings):
-    """
-    Configuration settings for Dataset Queue Monitor
-    """
-
-    QUEUE_MONITOR_THRESHOLD: Optional[NonNegativeInt] = Field(
-        description="Threshold for dataset queue monitor",
-        default=200,
-    )
-    QUEUE_MONITOR_ALERT_EMAILS: Optional[str] = Field(
-        description="Emails for dataset queue monitor alert, separated by commas",
-        default=None,
-    )
-    QUEUE_MONITOR_INTERVAL: Optional[NonNegativeFloat] = Field(
-        description="Interval for dataset queue monitor in minutes",
-        default=30,
-    )
-
-
 class MiddlewareConfig(
    # place the configs in alphabet order
    CeleryConfig,
@@ -309,7 +243,6 @@ class MiddlewareConfig(
    AliyunOSSStorageConfig,
    AzureBlobStorageConfig,
    BaiduOBSStorageConfig,
-    ClickZettaVolumeStorageConfig,
    GoogleCloudStorageConfig,
    HuaweiCloudOBSStorageConfig,
    OCIStorageConfig,
@@ -322,14 +255,11 @@ class MiddlewareConfig(
    VectorStoreConfig,
    AnalyticdbConfig,
    ChromaConfig,
-    ClickzettaConfig,
-    HuaweiCloudConfig,
    MilvusConfig,
    MyScaleConfig,
    OpenSearchConfig,
    OracleConfig,
    PGVectorConfig,
-    VastbaseVectorConfig,
    PGVectoRSConfig,
    QdrantConfig,
    RelytConfig,
@@ -345,9 +275,5 @@ class MiddlewareConfig(
    LindormConfig,
    OceanBaseVectorConfig,
    BaiduVectorDBConfig,
-    OpenGaussConfig,
-    TableStoreConfig,
-    DatasetQueueMonitorConfig,
-    MatrixoneConfig,
 ):
    pass
@@ -39,26 +39,6 @@ class RedisConfig(BaseSettings):
        default=False,
    )

-    REDIS_SSL_CERT_REQS: str = Field(
-        description="SSL certificate requirements (CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED)",
-        default="CERT_NONE",
-    )
-
-    REDIS_SSL_CA_CERTS: Optional[str] = Field(
-        description="Path to the CA certificate file for SSL verification",
-        default=None,
-    )
-
-    REDIS_SSL_CERTFILE: Optional[str] = Field(
-        description="Path to the client certificate file for SSL authentication",
-        default=None,
-    )
-
-    REDIS_SSL_KEYFILE: Optional[str] = Field(
-        description="Path to the client private key file for SSL authentication",
-        default=None,
-    )
-
    REDIS_USE_SENTINEL: Optional[bool] = Field(
        description="Enable Redis Sentinel mode for high availability",
        default=False,
@@ -103,13 +83,3 @@ class RedisConfig(BaseSettings):
        description="Password for Redis Clusters authentication (if required)",
        default=None,
    )
-
-    REDIS_SERIALIZATION_PROTOCOL: int = Field(
-        description="Redis serialization protocol (RESP) version",
-        default=3,
-    )
-
-    REDIS_ENABLE_CLIENT_SIDE_CACHE: bool = Field(
-        description="Enable client side cache in redis",
-        default=False,
-    )
@@ -1,4 +1,4 @@
-from typing import Literal, Optional
+from typing import Optional

 from pydantic import Field
 from pydantic_settings import BaseSettings
@@ -34,7 +34,7 @@ class S3StorageConfig(BaseSettings):
        default=None,
    )

-    S3_ADDRESS_STYLE: Literal["auto", "virtual", "path"] = Field(
+    S3_ADDRESS_STYLE: str = Field(
        description="S3 addressing style: 'auto', 'path', or 'virtual'",
        default="auto",
    )
@@ -1,65 +0,0 @@
-"""ClickZetta Volume Storage Configuration"""
-
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class ClickZettaVolumeStorageConfig(BaseSettings):
-    """Configuration for ClickZetta Volume storage."""
-
-    CLICKZETTA_VOLUME_USERNAME: Optional[str] = Field(
-        description="Username for ClickZetta Volume authentication",
-        default=None,
-    )
-
-    CLICKZETTA_VOLUME_PASSWORD: Optional[str] = Field(
-        description="Password for ClickZetta Volume authentication",
-        default=None,
-    )
-
-    CLICKZETTA_VOLUME_INSTANCE: Optional[str] = Field(
-        description="ClickZetta instance identifier",
-        default=None,
-    )
-
-    CLICKZETTA_VOLUME_SERVICE: str = Field(
-        description="ClickZetta service endpoint",
-        default="api.clickzetta.com",
-    )
-
-    CLICKZETTA_VOLUME_WORKSPACE: str = Field(
-        description="ClickZetta workspace name",
-        default="quick_start",
-    )
-
-    CLICKZETTA_VOLUME_VCLUSTER: str = Field(
-        description="ClickZetta virtual cluster name",
-        default="default_ap",
-    )
-
-    CLICKZETTA_VOLUME_SCHEMA: str = Field(
-        description="ClickZetta schema name",
-        default="dify",
-    )
-
-    CLICKZETTA_VOLUME_TYPE: str = Field(
-        description="ClickZetta volume type (table|user|external)",
-        default="user",
-    )
-
-    CLICKZETTA_VOLUME_NAME: Optional[str] = Field(
-        description="ClickZetta volume name for external volumes",
-        default=None,
-    )
-
-    CLICKZETTA_VOLUME_TABLE_PREFIX: str = Field(
-        description="Prefix for ClickZetta volume table names",
-        default="dataset_",
-    )
-
-    CLICKZETTA_VOLUME_DIFY_PREFIX: str = Field(
-        description="Directory prefix for User Volume to organize Dify files",
-        default="dify_km",
-    )
@@ -1,69 +0,0 @@
-from typing import Optional
-
-from pydantic import BaseModel, Field
-
-
-class ClickzettaConfig(BaseModel):
-    """
-    Clickzetta Lakehouse vector database configuration
-    """
-
-    CLICKZETTA_USERNAME: Optional[str] = Field(
-        description="Username for authenticating with Clickzetta Lakehouse",
-        default=None,
-    )
-
-    CLICKZETTA_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with Clickzetta Lakehouse",
-        default=None,
-    )
-
-    CLICKZETTA_INSTANCE: Optional[str] = Field(
-        description="Clickzetta Lakehouse instance ID",
-        default=None,
-    )
-
-    CLICKZETTA_SERVICE: Optional[str] = Field(
-        description="Clickzetta API service endpoint (e.g., 'api.clickzetta.com')",
-        default="api.clickzetta.com",
-    )
-
-    CLICKZETTA_WORKSPACE: Optional[str] = Field(
-        description="Clickzetta workspace name",
-        default="default",
-    )
-
-    CLICKZETTA_VCLUSTER: Optional[str] = Field(
-        description="Clickzetta virtual cluster name",
-        default="default_ap",
-    )
-
-    CLICKZETTA_SCHEMA: Optional[str] = Field(
-        description="Database schema name in Clickzetta",
-        default="public",
-    )
-
-    CLICKZETTA_BATCH_SIZE: Optional[int] = Field(
-        description="Batch size for bulk insert operations",
-        default=100,
-    )
-
-    CLICKZETTA_ENABLE_INVERTED_INDEX: Optional[bool] = Field(
-        description="Enable inverted index for full-text search capabilities",
-        default=True,
-    )
-
-    CLICKZETTA_ANALYZER_TYPE: Optional[str] = Field(
-        description="Analyzer type for full-text search: keyword, english, chinese, unicode",
-        default="chinese",
-    )
-
-    CLICKZETTA_ANALYZER_MODE: Optional[str] = Field(
-        description="Analyzer mode for tokenization: max_word (fine-grained) or smart (intelligent)",
-        default="smart",
-    )
-
-    CLICKZETTA_VECTOR_DISTANCE_FUNCTION: Optional[str] = Field(
-        description="Distance function for vector similarity: l2_distance or cosine_distance",
-        default="cosine_distance",
-    )
@@ -1,13 +1,12 @@
 from typing import Optional

-from pydantic import Field, PositiveInt, model_validator
+from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings


 class ElasticsearchConfig(BaseSettings):
    """
-    Configuration settings for both self-managed and Elastic Cloud deployments.
-    Can load from environment variables or .env files.
+    Configuration settings for Elasticsearch
    """

    ELASTICSEARCH_HOST: Optional[str] = Field(
@@ -29,50 +28,3 @@ class ElasticsearchConfig(BaseSettings):
        description="Password for authenticating with Elasticsearch (default is 'elastic')",
        default="elastic",
    )
-
-    # Elastic Cloud (optional)
-    ELASTICSEARCH_USE_CLOUD: Optional[bool] = Field(
-        description="Set to True to use Elastic Cloud instead of self-hosted Elasticsearch", default=False
-    )
-    ELASTICSEARCH_CLOUD_URL: Optional[str] = Field(
-        description="Full URL for Elastic Cloud deployment (e.g., 'https://example.es.region.aws.found.io:443')",
-        default=None,
-    )
-    ELASTICSEARCH_API_KEY: Optional[str] = Field(
-        description="API key for authenticating with Elastic Cloud", default=None
-    )
-
-    # Common options
-    ELASTICSEARCH_CA_CERTS: Optional[str] = Field(
-        description="Path to CA certificate file for SSL verification", default=None
-    )
-    ELASTICSEARCH_VERIFY_CERTS: bool = Field(
-        description="Whether to verify SSL certificates (default is False)", default=False
-    )
-    ELASTICSEARCH_REQUEST_TIMEOUT: int = Field(
-        description="Request timeout in milliseconds (default is 100000)", default=100000
-    )
-    ELASTICSEARCH_RETRY_ON_TIMEOUT: bool = Field(
-        description="Whether to retry requests on timeout (default is True)", default=True
-    )
-    ELASTICSEARCH_MAX_RETRIES: int = Field(
-        description="Maximum number of retry attempts (default is 10000)", default=10000
-    )
-
-    @model_validator(mode="after")
-    def validate_elasticsearch_config(self):
-        """Validate Elasticsearch configuration based on deployment type."""
-        if self.ELASTICSEARCH_USE_CLOUD:
-            if not self.ELASTICSEARCH_CLOUD_URL:
-                raise ValueError("ELASTICSEARCH_CLOUD_URL is required when using Elastic Cloud")
-            if not self.ELASTICSEARCH_API_KEY:
-                raise ValueError("ELASTICSEARCH_API_KEY is required when using Elastic Cloud")
-        else:
-            if not self.ELASTICSEARCH_HOST:
-                raise ValueError("ELASTICSEARCH_HOST is required for self-hosted Elasticsearch")
-            if not self.ELASTICSEARCH_USERNAME:
-                raise ValueError("ELASTICSEARCH_USERNAME is required for self-hosted Elasticsearch")
-            if not self.ELASTICSEARCH_PASSWORD:
-                raise ValueError("ELASTICSEARCH_PASSWORD is required for self-hosted Elasticsearch")
-
-        return self
@@ -1,25 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class HuaweiCloudConfig(BaseSettings):
-    """
-    Configuration settings for Huawei cloud search service
-    """
-
-    HUAWEI_CLOUD_HOSTS: Optional[str] = Field(
-        description="Hostname or IP address of the Huawei cloud search service instance",
-        default=None,
-    )
-
-    HUAWEI_CLOUD_USER: Optional[str] = Field(
-        description="Username for authenticating with Huawei cloud search service",
-        default=None,
-    )
-
-    HUAWEI_CLOUD_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with Huawei cloud search service",
-        default=None,
-    )
@@ -32,4 +32,3 @@ class LindormConfig(BaseSettings):
        description="Using UGC index will store the same type of Index in a single index but can retrieve separately.",
        default=False,
    )
-    LINDORM_QUERY_TIMEOUT: Optional[float] = Field(description="The lindorm search request timeout (s)", default=2.0)
@@ -1,14 +0,0 @@
-from pydantic import BaseModel, Field
-
-
-class MatrixoneConfig(BaseModel):
-    """Matrixone vector database configuration."""
-
-    MATRIXONE_HOST: str = Field(default="localhost", description="Host address of the Matrixone server")
-    MATRIXONE_PORT: int = Field(default=6001, description="Port number of the Matrixone server")
-    MATRIXONE_USER: str = Field(default="dump", description="Username for authenticating with Matrixone")
-    MATRIXONE_PASSWORD: str = Field(default="111", description="Password for authenticating with Matrixone")
-    MATRIXONE_DATABASE: str = Field(default="dify", description="Name of the Matrixone database to connect to")
-    MATRIXONE_METRIC: str = Field(
-        default="l2", description="Distance metric type for vector similarity search (cosine or l2)"
-    )
@@ -39,8 +39,3 @@ class MilvusConfig(BaseSettings):
        "older versions",
        default=True,
    )
-
-    MILVUS_ANALYZER_PARAMS: Optional[str] = Field(
-        description='Milvus text analyzer parameters, e.g., {"type": "chinese"} for Chinese segmentation support.',
-        default=None,
-    )
@@ -33,9 +33,3 @@ class OceanBaseVectorConfig(BaseSettings):
        description="Name of the OceanBase Vector database to connect to",
        default=None,
    )
-
-    OCEANBASE_ENABLE_HYBRID_SEARCH: bool = Field(
-        description="Enable hybrid search features (requires OceanBase >= 4.3.5.1). Set to false for compatibility "
-        "with older versions",
-        default=False,
-    )
@@ -1,50 +0,0 @@
-from typing import Optional
-
-from pydantic import Field, PositiveInt
-from pydantic_settings import BaseSettings
-
-
-class OpenGaussConfig(BaseSettings):
-    """
-    Configuration settings for OpenGauss
-    """
-
-    OPENGAUSS_HOST: Optional[str] = Field(
-        description="Hostname or IP address of the OpenGauss server(e.g., 'localhost')",
-        default=None,
-    )
-
-    OPENGAUSS_PORT: PositiveInt = Field(
-        description="Port number on which the OpenGauss server is listening (default is 6600)",
-        default=6600,
-    )
-
-    OPENGAUSS_USER: Optional[str] = Field(
-        description="Username for authenticating with the OpenGauss database",
-        default=None,
-    )
-
-    OPENGAUSS_PASSWORD: Optional[str] = Field(
-        description="Password for authenticating with the OpenGauss database",
-        default=None,
-    )
-
-    OPENGAUSS_DATABASE: Optional[str] = Field(
-        description="Name of the OpenGauss database to connect to",
-        default=None,
-    )
-
-    OPENGAUSS_MIN_CONNECTION: PositiveInt = Field(
-        description="Min connection of the OpenGauss database",
-        default=1,
-    )
-
-    OPENGAUSS_MAX_CONNECTION: PositiveInt = Field(
-        description="Max connection of the OpenGauss database",
-        default=5,
-    )
-
-    OPENGAUSS_ENABLE_PQ: bool = Field(
-        description="Enable openGauss PQ acceleration feature",
-        default=False,
-    )
@@ -1,5 +1,4 @@
-import enum
-from typing import Literal, Optional
+from typing import Optional

 from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings
@@ -10,14 +9,6 @@ class OpenSearchConfig(BaseSettings):
    Configuration settings for OpenSearch
    """

-    class AuthMethod(enum.StrEnum):
-        """
-        Authentication method for OpenSearch
-        """
-
-        BASIC = "basic"
-        AWS_MANAGED_IAM = "aws_managed_iam"
-
    OPENSEARCH_HOST: Optional[str] = Field(
        description="Hostname or IP address of the OpenSearch server (e.g., 'localhost' or 'opensearch.example.com')",
        default=None,
@@ -28,21 +19,6 @@ class OpenSearchConfig(BaseSettings):
        default=9200,
    )

-    OPENSEARCH_SECURE: bool = Field(
-        description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)",
-        default=False,
-    )
-
-    OPENSEARCH_VERIFY_CERTS: bool = Field(
-        description="Whether to verify SSL certificates for HTTPS connections (recommended to set True in production)",
-        default=True,
-    )
-
-    OPENSEARCH_AUTH_METHOD: AuthMethod = Field(
-        description="Authentication method for OpenSearch connection (default is 'basic')",
-        default=AuthMethod.BASIC,
-    )
-
    OPENSEARCH_USER: Optional[str] = Field(
        description="Username for authenticating with OpenSearch",
        default=None,
@@ -53,11 +29,7 @@ class OpenSearchConfig(BaseSettings):
        default=None,
    )

-    OPENSEARCH_AWS_REGION: Optional[str] = Field(
-        description="AWS region for OpenSearch (e.g. 'us-west-2')",
-        default=None,
-    )
-
-    OPENSEARCH_AWS_SERVICE: Optional[Literal["es", "aoss"]] = Field(
-        description="AWS service for OpenSearch (e.g. 'aoss' for OpenSearch Serverless)", default=None
+    OPENSEARCH_SECURE: bool = Field(
+        description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)",
+        default=False,
    )
@@ -1,6 +1,6 @@
 from typing import Optional

-from pydantic import Field
+from pydantic import Field, PositiveInt
 from pydantic_settings import BaseSettings


@@ -9,6 +9,16 @@ 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,
@@ -19,28 +29,7 @@ class OracleConfig(BaseSettings):
        default=None,
    )

-    ORACLE_DSN: Optional[str] = Field(
-        description="Oracle database connection string. For traditional database, use format 'host:port/service_name'. "
-        "For autonomous database, use the service name from tnsnames.ora in the wallet",
+    ORACLE_DATABASE: Optional[str] = Field(
+        description="Name of the Oracle database or service to connect to (e.g., 'ORCL' or 'pdborcl')",
        default=None,
    )
-
-    ORACLE_CONFIG_DIR: Optional[str] = Field(
-        description="Directory containing the tnsnames.ora configuration file. Only used in thin mode connection",
-        default=None,
-    )
-
-    ORACLE_WALLET_LOCATION: Optional[str] = Field(
-        description="Oracle wallet directory path containing the wallet files for secure connection",
-        default=None,
-    )
-
-    ORACLE_WALLET_PASSWORD: Optional[str] = Field(
-        description="Password to decrypt the Oracle wallet, if it is encrypted",
-        default=None,
-    )
-
-    ORACLE_IS_AUTONOMOUS: bool = Field(
-        description="Flag indicating whether connecting to Oracle Autonomous Database",
-        default=False,
-    )
@@ -43,8 +43,3 @@ class PGVectorConfig(BaseSettings):
        description="Max connection of the PostgreSQL database",
        default=5,
    )
-
-    PGVECTOR_PG_BIGM: bool = Field(
-        description="Whether to use pg_bigm module for full text search",
-        default=False,
-    )
@@ -33,8 +33,3 @@ class QdrantConfig(BaseSettings):
        description="Port number for gRPC connection to Qdrant server (default is 6334)",
        default=6334,
    )
-
-    QDRANT_REPLICATION_FACTOR: PositiveInt = Field(
-        description="Replication factor for Qdrant collections (default is 1)",
-        default=1,
-    )
@@ -1,35 +0,0 @@
-from typing import Optional
-
-from pydantic import Field
-from pydantic_settings import BaseSettings
-
-
-class TableStoreConfig(BaseSettings):
-    """
-    Configuration settings for TableStore.
-    """
-
-    TABLESTORE_ENDPOINT: Optional[str] = Field(
-        description="Endpoint address of the TableStore server (e.g. 'https://instance-name.cn-hangzhou.ots.aliyuncs.com')",
-        default=None,
-    )
-
-    TABLESTORE_INSTANCE_NAME: Optional[str] = Field(
-        description="Instance name to access TableStore server (eg. 'instance-name')",
-        default=None,
-    )
-
-    TABLESTORE_ACCESS_KEY_ID: Optional[str] = Field(
-        description="AccessKey id for the instance name",
-        default=None,
-    )
-
-    TABLESTORE_ACCESS_KEY_SECRET: Optional[str] = Field(
-        description="AccessKey secret for the instance name",
-        default=None,
-    )
-
-    TABLESTORE_NORMALIZE_FULLTEXT_BM25_SCORE: bool = Field(
-        description="Whether to normalize full-text search scores to [0, 1]",
-        default=False,
-    )
@@ -48,8 +48,3 @@ class TencentVectorDBConfig(BaseSettings):
        description="Name of the specific Tencent Vector Database to connect to",
        default=None,
    )
-
-    TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH: bool = Field(
-        description="Enable hybrid search features",
-        default=False,
-    )
--- a/Show More
+++ b/Show More