feat: add message_chain field to *NormalMessageReceived events

* Initial plan

* feat: add model_config parameter support for Dify assistant type

- Add model_config parameter to AsyncDifyServiceClient.chat_messages method
- Add _get_model_config helper method to DifyServiceAPIRunner
- Pass model_config from pipeline configuration to all chat_messages calls
- Add model-config configuration field to dify-service-api schema in ai.yaml
- Support optional model configuration for assistant type apps in open-source Dify

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* refactor: improve model_config implementation based on code review

- Simplify _get_model_config method logic
- Add more descriptive comment about model_config usage
- Clarify when model_config is used (assistant type apps)

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* feat: only modify client.py

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
Co-authored-by: Junyan Qin <rockchinq@gmail.com>

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,64 +1,30 @@
 name: 漏洞反馈
-description: 报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭
+description: 【供中文用户】报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决，请勿提 issue。容器间网络连接问题，参考文档 https://docs.langbot.app/zh/workshop/network-details.html  
 title: "[Bug]: "
 labels: ["bug?"]
 body:
-  - type: dropdown
-    attributes:
-      label: 部署方式
-      description: "主程序使用的部署方式"
-      options:
-        - 手动部署
-        - 安装器部署
-        - 一键安装包部署
-        - Docker部署
-    validations:
-      required: true
-  - type: dropdown
-    attributes:
-      label: 登录框架
-      description: "连接QQ使用的框架"
-      options:
-        - Mirai
-        - go-cqhttp
-    validations:
-      required: false
   - type: input
     attributes:
-      label: 系统环境
-      description: 操作系统、系统架构、**主机地理位置**，地理位置最好写清楚，涉及网络问题排查。
-      placeholder: 例如： CentOS x64 中国大陆、Windows11 美国
-    validations:
-      required: true
-  - type: input
-    attributes:
-      label: Python环境
-      description: 运行程序的Python版本
-      placeholder: 例如： Python 3.10
-    validations:
-      required: true
-  - type: input
-    attributes:
-      label: QChatGPT版本
-      description: QChatGPT版本号
-      placeholder: 例如： v2.6.0，可以使用`!version`命令查看
+      label: 运行环境
+      description: LangBot 版本、操作系统、系统架构、**Python版本**、**主机地理位置**
+      placeholder: 例如：v3.3.0、CentOS x64 Python 3.10.3、Docker
     validations:
       required: true
   - type: textarea
     attributes:
       label: 异常情况
-      description: 完整描述异常情况，什么时候发生的、发生了什么，尽可能详细
+      description: 完整描述异常情况，什么时候发生的、发生了什么。**请附带日志信息。** 
     validations:
       required: true
   - type: textarea
     attributes:
-      label: 日志信息
-      description: 请提供完整的 **登录框架 和 QChatGPT控制台**的相关日志信息（若有），不提供日志信息**无法**为您排查问题，请尽可能详细
+      label: 复现步骤
+      description: 提供越多信息，我们会越快解决问题，建议多提供配置截图；**如果你不认真填写（只一两句话概括），我们会很生气并且立即关闭 issue 或两年后才回复你**
     validations:
       required: false
   - type: textarea
     attributes:
       label: 启用的插件
-      description: 有些情况可能和插件功能有关，建议提供插件启用情况。可以使用`!plugin`命令查看已启用的插件
+      description: 有些情况可能和插件功能有关，建议提供插件启用情况。
     validations:
       required: false

.github/ISSUE_TEMPLATE/bug-report_en.yml

@@ -0,0 +1,30 @@
+name: Bug report
+description: Report bugs or vulnerabilities using this template. For container network connection issues, refer to the documentation https://docs.langbot.app/en/workshop/network-details.html
+title: "[Bug]: "
+labels: ["bug?"]
+body:
+  - type: input
+    attributes:
+      label: Runtime environment
+      description: LangBot version, operating system, system architecture, **Python version**, **host location**
+      placeholder: "For example: v3.3.0, CentOS x64 Python 3.10.3, Docker"
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Exception
+      description: Describe the exception in detail, what happened and when it happened. **Please include log information.** 
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Reproduction steps
+      description: How to reproduce this problem, the more detailed the better; the more information you provide, the faster we will solve the problem. 【注意】请务必认真填写此部分，若不提供完整信息（如只有一两句话的概括），我们将不会回复！
+    validations:
+      required: false
+  - type: textarea
+    attributes:
+      label: Enabled plugins
+      description: Some cases may be related to plugin functionality, so please provide the plugin enablement status.
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -1,7 +1,7 @@
 name: 需求建议
 title: "[Feature]: "
-labels: ["改进"]
-description: "新功能或现有功能优化请使用这个模板；不符合类别的issue将被直接关闭"
+labels: []
+description: "【供中文用户】新功能或现有功能优化请使用这个模板；不符合类别的issue将被直接关闭"
 body:
   - type: dropdown
     attributes:

.github/ISSUE_TEMPLATE/feature-request_en.yml

@@ -0,0 +1,21 @@
+name: Feature request
+title: "[Feature]: "
+labels: []
+description: "New features or existing feature improvements should use this template; issues that do not match will be closed directly"
+body:
+  - type: dropdown
+    attributes:
+      label: This is a?
+      description: New feature request or existing feature improvement
+      options:
+        - New feature
+        - Existing feature improvement
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Detailed description
+      description: Detailed description, the more detailed the better
+    validations:
+      required: true
+      

.github/ISSUE_TEMPLATE/submit-plugin.yml

@@ -1,7 +1,7 @@
 name: 提交新插件
 title: "[Plugin]: 请求登记新插件"
 labels: ["独立插件"]
-description: "本模板供且仅供提交新插件使用"
+description: "【供中文用户】本模板供且仅供提交新插件使用"
 body:
   - type: input
     attributes:

.github/ISSUE_TEMPLATE/submit-plugin_en.yml

@@ -0,0 +1,24 @@
+name: Submit a new plugin
+title: "[Plugin]: Request to register a new plugin"
+labels: ["Independent Plugin"]
+description: "This template is only for submitting new plugins"
+body:
+  - type: input
+    attributes:
+      label: Plugin name
+      description: Fill in the name of the plugin
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Plugin code repository address
+      description: Only support Github
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Plugin description
+      description: The description of the plugin
+    validations:
+      required: true
+      

.github/dependabot.yml

@@ -10,5 +10,4 @@ updates:
     schedule:
       interval: "weekly"
     allow:
-      - dependency-name: "yiri-mirai-rc"
       - dependency-name: "openai"

.github/pull_request_template.md

@@ -1,25 +1,32 @@
-## 概述
+## 概述 / Overview
 
-实现/解决/优化的内容: 
+> 请在此部分填写你实现/解决/优化的内容:  
+> Summary of what you implemented/solved/optimized:
+> 
 
-### 事务
+### 更改前后对比截图 / Screenshots
 
-- [ ] 已阅读仓库[贡献指引](https://github.com/RockChinQ/QChatGPT/blob/master/CONTRIBUTING.md)
-- [ ] 已与维护者在issues或其他平台沟通此PR大致内容
+> 请在此部分粘贴更改前后对比截图（可以是界面截图、控制台输出、对话截图等）:  
+> Please paste the screenshots of changes before and after here (can be interface screenshots, console output, conversation screenshots, etc.):
+> 
+> 修改前 / Before:
+> 
+> 修改后 / After:
+> 
 
-## 以下内容可在起草PR后、合并PR前逐步完成
+## 检查清单 / Checklist
 
-### 功能
+### PR 作者完成 / For PR author
 
-- [ ] 已编写完善的配置文件字段说明（若有新增）
-- [ ] 已编写面向用户的新功能说明（若有必要）
-- [ ] 已测试新功能或更改
+*请在方括号间写`x`以打勾 / Please tick the box with `x`*
 
-### 兼容性
+- [ ] 阅读仓库[贡献指引](https://github.com/langbot-app/LangBot/blob/master/CONTRIBUTING.md)了吗？ / Have you read the [contribution guide](https://github.com/langbot-app/LangBot/blob/master/CONTRIBUTING.md)?
+- [ ] 与项目所有者沟通过了吗？ / Have you communicated with the project maintainer?
+- [ ] 我确定已自行测试所作的更改，确保功能符合预期。 / I have tested the changes and ensured they work as expected.
 
-- [ ] 已处理版本兼容性
-- [ ] 已处理插件兼容问题
+### 项目维护者完成 / For project maintainer
 
-### 风险
-
-可能导致或已知的问题: 
+- [ ] 相关 issues 链接了吗？ / Have you linked the related issues?
+- [ ] 配置项写好了吗？迁移写好了吗？生效了吗？ / Have you written the configuration items? Have you written the migration? Has it taken effect?
+- [ ] 依赖加到 pyproject.toml 和 core/bootutils/deps.py 了吗 / Have you added the dependencies to pyproject.toml and core/bootutils/deps.py?
+- [ ] 文档编写了吗？ / Have you written the documentation?

.github/workflows/build-dev-image.yaml

@@ -0,0 +1,29 @@
+name: Build Dev Image
+
+on:
+  push:
+  workflow_dispatch:
+
+jobs:
+  build-dev-image:
+    runs-on: ubuntu-latest
+    # 如果是tag则跳过
+    if: ${{ !startsWith(github.ref, 'refs/tags/') }}
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+        with:
+          persist-credentials: false
+
+      - name: Generate Tag
+        id: generate_tag
+        run: |
+          # 获取分支名称，把/替换为-
+          echo ${{ github.ref }} | sed 's/refs\/heads\///g' | sed 's/\//-/g'
+          echo ::set-output name=tag::$(echo ${{ github.ref }} | sed 's/refs\/heads\///g' | sed 's/\//-/g')
+      - name: Login to Registry
+        run: docker login --username=${{ secrets.DOCKER_USERNAME }} --password ${{ secrets.DOCKER_PASSWORD }}
+      - name: Build Docker Image
+        run: |
+          docker buildx create --name mybuilder --use
+          docker build -t rockchin/langbot:${{ steps.generate_tag.outputs.tag }} . --push

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

@@ -1,10 +1,9 @@
 name: Build Docker Image
 on:
-  #防止fork乱用action设置只能手动触发构建
-  workflow_dispatch:
   ## 发布release的时候会自动构建
   release:
     types: [published]
+  workflow_dispatch:
 jobs:
   publish-docker-image:
     runs-on: ubuntu-latest
@@ -13,18 +12,15 @@ jobs:
     steps:
       - name: Checkout
         uses: actions/checkout@v2
+        with:
+          persist-credentials: false
+
       - name: judge has env GITHUB_REF  # 如果没有GITHUB_REF环境变量，则把github.ref变量赋值给GITHUB_REF
         run: |
           if [ -z "$GITHUB_REF" ]; then
             export GITHUB_REF=${{ github.ref }}
             echo $GITHUB_REF
           fi
-      # - name: Check GITHUB_REF env
-      #   run: echo $GITHUB_REF
-      # - name: Get version  # 在 GitHub Actions 运行环境
-      #   id: get_version
-      #   if: (startsWith(env.GITHUB_REF, 'refs/tags/')||startsWith(github.ref, 'refs/tags/')) && startsWith(github.repository, 'RockChinQ/QChatGPT')
-      #   run: export GITHUB_REF=${GITHUB_REF/refs\/tags\//}
       - name: Check version
         id: check_version
         run: |
@@ -44,5 +40,9 @@ jobs:
         run: docker login --username=${{ secrets.DOCKER_USERNAME }} --password ${{ secrets.DOCKER_PASSWORD }}
       - name: Create Buildx
         run: docker buildx create --name mybuilder --use
-      - name: Build  # image name: rockchin/qchatgpt:<VERSION>
-        run: docker buildx build --platform linux/arm64,linux/amd64 -t rockchin/qchatgpt:${{ steps.check_version.outputs.version }} -t rockchin/qchatgpt:latest . --push
+      - name: Build for Release # only relase, exlude pre-release
+        if: ${{ github.event.release.prerelease == false }}
+        run: docker buildx build --platform linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} -t rockchin/langbot:latest . --push
+      - name: Build for Pre-release # no update for latest tag
+        if: ${{ github.event.release.prerelease == true }}
+        run: docker buildx build --platform linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} . --push

.github/workflows/build-release-artifacts.yaml

@@ -0,0 +1,62 @@
+name: Build Release Artifacts
+
+on:
+  workflow_dispatch:
+  ## 发布release的时候会自动构建
+  release:
+    types: [published]
+
+jobs:
+  build-artifacts:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+        with:
+          persist-credentials: false
+
+      - name: Check version
+        id: check_version
+        run: |
+          echo $GITHUB_REF
+          # 如果是tag，则去掉refs/tags/前缀
+          if [[ $GITHUB_REF == refs/tags/* ]]; then
+            echo "It's a tag"
+            echo $GITHUB_REF
+            echo $GITHUB_REF | awk -F '/' '{print $3}'
+            echo ::set-output name=version::$(echo $GITHUB_REF | awk -F '/' '{print $3}')
+          else
+            echo "It's not a tag"
+            echo $GITHUB_REF
+            echo ::set-output name=version::${GITHUB_REF}
+          fi
+
+      - name: Make Temp Directory
+        run: |
+          mkdir -p /tmp/langbot_build_web
+          cp -r . /tmp/langbot_build_web
+      - name: Setup Node
+        uses: actions/setup-node@v2
+        with:
+          node-version: '22'
+      - name: Build Web
+        run: |
+          cd /tmp/langbot_build_web/web
+          npm install
+          npm run build
+      - name: Package Output
+        run: |
+          cp -r /tmp/langbot_build_web/web/out ./web
+      - name: Upload Artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: langbot-${{ steps.check_version.outputs.version }}-all
+          path: .
+
+      - name: Upload To Release
+        env:
+          GH_TOKEN: ${{ secrets.RELEASE_UPLOAD_GITHUB_TOKEN }}
+        run: |
+          # 本目录下所有文件打包成zip
+          zip -r langbot-${{ steps.check_version.outputs.version }}-all.zip .
+          gh release upload ${{ github.event.release.tag_name }} langbot-${{ steps.check_version.outputs.version }}-all.zip

.github/workflows/publish-to-pypi.yml

@@ -0,0 +1,46 @@
+name: Build and Publish to PyPI
+
+on:
+  workflow_dispatch:
+  release:
+    types: [published]
+
+jobs:
+  build-and-publish:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      id-token: write  # Required for trusted publishing to PyPI
+    
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          persist-credentials: false
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '22'
+
+      - name: Build frontend
+        run: |
+          cd web
+          npm install -g pnpm
+          pnpm install
+          pnpm build
+          mkdir -p ../src/langbot/web/out
+          cp -r out ../src/langbot/web/
+
+      - name: Install the latest version of uv
+        uses: astral-sh/setup-uv@v6
+        with:
+          version: "latest"
+
+      - name: Build package
+        run: |
+          uv build
+
+      - name: Publish to PyPI
+        run: |
+          uv publish --token ${{ secrets.PYPI_TOKEN }}

.github/workflows/run-tests.yml

@@ -0,0 +1,71 @@
+name: Unit Tests
+
+on:
+  pull_request:
+    types: [opened, ready_for_review, synchronize]
+    paths:
+      - 'pkg/**'
+      - 'tests/**'
+      - '.github/workflows/run-tests.yml'
+      - 'pyproject.toml'
+      - 'run_tests.sh'
+  push:
+    branches:
+      - master
+      - develop
+    paths:
+      - 'pkg/**'
+      - 'tests/**'
+      - '.github/workflows/run-tests.yml'
+      - 'pyproject.toml'
+      - 'run_tests.sh'
+
+jobs:
+  test:
+    name: Run Unit Tests
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ['3.10', '3.11', '3.12']
+      fail-fast: false
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install uv
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+
+      - name: Install dependencies
+        run: |
+          uv sync --dev
+
+      - name: Run unit tests
+        run: |
+          bash run_tests.sh
+
+      - name: Upload coverage to Codecov
+        if: matrix.python-version == '3.12'
+        uses: codecov/codecov-action@v5
+        with:
+          files: ./coverage.xml
+          flags: unit-tests
+          name: unit-tests-coverage
+          fail_ci_if_error: false
+        env:
+          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+
+      - name: Test Summary
+        if: always()
+        run: |
+          echo "## Unit Tests Results" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "Python Version: ${{ matrix.python-version }}" >> $GITHUB_STEP_SUMMARY
+          echo "Test Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY

.github/workflows/sync-wiki.yml

@@ -1,43 +0,0 @@
-name: Update Wiki
-
-on:
-  push:
-    branches:
-      - master
-    paths:
-      - 'res/wiki/**'
-
-jobs:
-  update-wiki:
-    runs-on: ubuntu-latest
-    steps:
-    - name: Checkout
-      uses: actions/checkout@v2
-    - name: Setup Git
-      run: |
-        git config --global user.name "GitHub Actions"
-        git config --global user.email "github-actions[bot]@users.noreply.github.com"
-    - name: Clone Wiki Repository
-      uses: actions/checkout@v2
-      with:
-        repository: RockChinQ/QChatGPT.wiki
-        path: wiki
-    - name: Delete old wiki content
-      run: |
-        rm -rf wiki/*
-    - name: Copy res/wiki content to wiki
-      run: |
-        cp -r res/wiki/* wiki/
-    - name: Check for changes
-      run: |
-        cd wiki
-        if git diff --quiet; then
-          echo "No changes to commit."
-          exit 0
-        fi
-    - name: Commit and Push Changes
-      run: |
-        cd wiki
-        git add .
-        git commit -m "Update wiki"
-        git push

.github/workflows/test-dev-image.yaml

@@ -0,0 +1,108 @@
+name: Test Dev Image
+
+on:
+  workflow_run:
+    workflows: ["Build Dev Image"]
+    types:
+      - completed
+    branches:
+      - master
+
+jobs:
+  test-dev-image:
+    runs-on: ubuntu-latest
+    # Only run if the build workflow succeeded
+    if: ${{ github.event.workflow_run.conclusion == 'success' }}
+    
+    permissions:
+      contents: read
+    
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Update Docker Compose to use master tag
+        working-directory: ./docker
+        run: |
+          # Replace 'latest' with 'master' tag for testing the dev image
+          sed -i 's/rockchin\/langbot:latest/rockchin\/langbot:master/g' docker-compose.yaml
+          echo "Updated docker-compose.yaml to use master tag:"
+          cat docker-compose.yaml
+
+      - name: Start Docker Compose
+        working-directory: ./docker
+        run: docker compose up -d
+
+      - name: Wait and Test API
+        run: |
+          # Function to test API endpoint
+          test_api() {
+            echo "Testing API endpoint..."
+            response=$(curl -s --connect-timeout 10 --max-time 30 -w "\n%{http_code}" http://localhost:5300/api/v1/system/info 2>&1)
+            curl_exit_code=$?
+            
+            if [ $curl_exit_code -ne 0 ]; then
+              echo "Curl failed with exit code: $curl_exit_code"
+              echo "Error: $response"
+              return 1
+            fi
+            
+            http_code=$(echo "$response" | tail -n 1)
+            response_body=$(echo "$response" | head -n -1)
+            
+            if [ "$http_code" = "200" ]; then
+              echo "API is healthy! Response code: $http_code"
+              echo "Response: $response_body"
+              return 0
+            else
+              echo "API returned non-200 response: $http_code"
+              echo "Response body: $response_body"
+              return 1
+            fi
+          }
+
+          # Wait 30 seconds before first attempt
+          echo "Waiting 30 seconds for services to start..."
+          sleep 30
+
+          # Try up to 3 times with 30-second intervals
+          max_attempts=3
+          attempt=1
+
+          while [ $attempt -le $max_attempts ]; do
+            echo "Attempt $attempt of $max_attempts"
+            
+            if test_api; then
+              echo "Success! API is responding correctly."
+              exit 0
+            fi
+            
+            if [ $attempt -lt $max_attempts ]; then
+              echo "Retrying in 30 seconds..."
+              sleep 30
+            fi
+            
+            attempt=$((attempt + 1))
+          done
+
+          # All attempts failed
+          echo "Failed to get healthy response after $max_attempts attempts"
+          exit 1
+
+      - name: Show Container Logs on Failure
+        if: failure()
+        working-directory: ./docker
+        run: |
+          echo "=== Docker Compose Status ==="
+          docker compose ps
+          echo ""
+          echo "=== LangBot Logs ==="
+          docker compose logs langbot
+          echo ""
+          echo "=== Plugin Runtime Logs ==="
+          docker compose logs langbot_plugin_runtime
+
+      - name: Cleanup
+        if: always()
+        working-directory: ./docker
+        run: docker compose down

.github/workflows/test-pr.yml

@@ -1,80 +0,0 @@
-name: Test Pull Request
-
-on:
-  pull_request:
-    types: [ready_for_review]
-    paths:
-      # 任何py文件改动都会触发
-      - '**.py'
-  pull_request_review:
-    types: [submitted]
-  issue_comment:
-    types: [created]
-  # 允许手动触发
-  workflow_dispatch:
-
-jobs:
-  perform-test:
-    runs-on: ubuntu-latest
-    # 如果事件为pull_request_review且review状态为approved，则执行
-    if: >
-      github.event_name == 'pull_request' ||
-      (github.event_name == 'pull_request_review' && github.event.review.state == 'APPROVED') ||
-      github.event_name == 'workflow_dispatch' ||
-      (github.event_name == 'issue_comment' && github.event.issue.pull_request != '' && contains(github.event.comment.body, '/test') && github.event.comment.user.login == 'RockChinQ')
-    steps:
-      # 签出测试工程仓库代码
-      - name: Checkout
-        uses: actions/checkout@v2
-        with:
-          # 仓库地址
-          repository: RockChinQ/qcg-tester
-          # 仓库路径
-          path: qcg-tester
-      - name: Setup Python
-        uses: actions/setup-python@v2
-        with:
-          python-version: '3.10'
-
-      - name: Install dependencies
-        run: |
-          cd qcg-tester
-          python -m pip install --upgrade pip
-          pip install -r requirements.txt
-
-      - name: Get PR details
-        id: get-pr
-        if: github.event_name == 'issue_comment'
-        uses: octokit/request-action@v2.x
-        with:
-          route: GET /repos/${{ github.repository }}/pulls/${{ github.event.issue.number }}
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Set PR source branch as env variable
-        if: github.event_name == 'issue_comment'
-        run: |
-          PR_SOURCE_BRANCH=$(echo '${{ steps.get-pr.outputs.data }}' | jq -r '.head.ref')
-          echo "BRANCH=$PR_SOURCE_BRANCH" >> $GITHUB_ENV
-
-      - name: Set PR Branch as bash env
-        if: github.event_name != 'issue_comment'
-        run: |
-          echo "BRANCH=${{ github.head_ref }}" >> $GITHUB_ENV
-      - name: Set OpenAI API Key from Secrets
-        run: |
-          echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> $GITHUB_ENV
-      - name: Set OpenAI Reverse Proxy URL from Secrets
-        run: |
-          echo "OPENAI_REVERSE_PROXY=${{ secrets.OPENAI_REVERSE_PROXY }}" >> $GITHUB_ENV
-      - name: Run test
-        run: |
-          cd qcg-tester
-          python main.py
-
-      - name: Upload coverage reports to Codecov
-        run: |
-          cd qcg-tester/resource/QChatGPT
-          curl -Os https://uploader.codecov.io/latest/linux/codecov
-          chmod +x codecov
-          ./codecov -t ${{ secrets.CODECOV_TOKEN }}

.gitignore

@@ -2,10 +2,10 @@
 .idea/
 __pycache__/
 database.db
-qchatgpt.log
+langbot.log
 /banlist.py
-plugins/
-!plugins/__init__.py
+/plugins/
+!/plugins/__init__.py
 /revcfg.py
 prompts/
 logs/
@@ -16,22 +16,40 @@ scenario/
 !scenario/default-template.json
 override.json
 cookies.json
-res/announcement_saved
-res/announcement_saved.json
+data/labels/announcement_saved.json
 cmdpriv.json
 tips.py
-.venv
+venv*
 bin/
 .vscode
-test_*
+/test_*
 venv/
 hugchat.json
 qcapi
 claude.json
 bard.json
 /*yaml
+!.pre-commit-config.yaml
+!components.yaml
 !/docker-compose.yaml
-res/instance_id.json
+data/labels/instance_id.json
 .DS_Store
 /data
-botpy.log
+botpy.log*
+/poc
+/libs/wecom_api/test.py
+/venv
+test.py
+/web_ui
+.venv/
+uv.lock
+/test
+plugins.bak
+coverage.xml
+.coverage
+src/langbot/web/
+
+# Build artifacts
+/dist
+/build
+*.egg-info

.pre-commit-config.yaml

@@ -0,0 +1,27 @@
+repos:
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    # Ruff version.
+    rev: v0.11.7
+    hooks:
+      # Run the linter of backend.
+      - id: ruff
+        args: [--fix]
+      # Run the formatter of backend.
+      - id: ruff-format
+
+  - repo: https://github.com/pre-commit/mirrors-prettier
+    rev: v3.1.0
+    hooks:
+      - id: prettier
+        types_or: [javascript, jsx, ts, tsx, css, scss]
+        additional_dependencies:
+          - prettier@3.1.0
+
+  - repo: local
+    hooks:
+      - id: lint-staged
+        name: lint-staged
+        entry: cd web && pnpm lint-staged
+        language: system
+        types: [javascript, jsx, ts, tsx]
+        pass_filenames: false

AGENTS.md

@@ -0,0 +1,86 @@
+# AGENTS.md
+
+This file is for guiding code agents (like Claude Code, GitHub Copilot, OpenAI Codex, etc.) to work in LangBot project.
+
+## Project Overview
+
+LangBot is a open-source LLM native instant messaging bot development platform, aiming to provide an out-of-the-box IM robot development experience, with Agent, RAG, MCP and other LLM application functions, supporting global instant messaging platforms, and providing rich API interfaces, supporting custom development.
+
+LangBot has a comprehensive frontend, all operations can be performed through the frontend. The project splited into these major parts:
+
+- `./pkg`: The core python package of the project backend.
+    - `./pkg/platform`: The platform module of the project, containing the logic of message platform adapters, bot managers, message session managers, etc.
+    - `./pkg/provider`: The provider module of the project, containing the logic of LLM providers, tool providers, etc.
+    - `./pkg/pipeline`: The pipeline module of the project, containing the logic of pipelines, stages, query pool, etc.
+    - `./pkg/api`: The api module of the project, containing the http api controllers and services.
+    - `./pkg/plugin`: LangBot bridge for connecting with plugin system.
+- `./libs`: Some SDKs we previously developed for the project, such as `qq_official_api`, `wecom_api`, etc.
+- `./templates`: Templates of config files, components, etc.
+- `./web`: Frontend codebase, built with Next.js + **shadcn** + **Tailwind CSS**.
+- `./docker`: docker-compose deployment files.
+
+## Backend Development
+
+We use `uv` to manage dependencies.
+
+```bash
+pip install uv
+uv sync --dev
+```
+
+Start the backend and run the project in development mode.
+
+```bash
+uv run main.py
+```
+
+Then you can access the project at `http://127.0.0.1:5300`.
+
+## Frontend Development
+
+We use `pnpm` to manage dependencies.
+
+```bash
+cd web
+cp .env.example .env
+pnpm install
+pnpm dev
+```
+
+Then you can access the project at `http://127.0.0.1:3000`.
+
+## Plugin System Architecture
+
+LangBot is composed of various internal components such as Large Language Model tools, commands, messaging platform adapters, LLM requesters, and more. To meet extensibility and flexibility requirements, we have implemented a production-grade plugin system.
+
+Each plugin runs in an independent process, managed uniformly by the Plugin Runtime. It has two operating modes: `stdio` and `websocket`. When LangBot is started directly by users (not running in a container), it uses `stdio` mode, which is common for personal users or lightweight environments. When LangBot runs in a container, it uses `websocket` mode, designed specifically for production environments.
+
+Plugin Runtime automatically starts each installed plugin and interacts through stdio. In plugin development scenarios, developers can use the lbp command-line tool to start plugins and connect to the running Runtime via WebSocket for debugging.
+
+> Plugin SDK, CLI, Runtime, and entities definitions shared between LangBot and plugins are contained in the [`langbot-plugin-sdk`](https://github.com/langbot-app/langbot-plugin-sdk) repository.
+
+## Some Development Tips and Standards
+
+- LangBot is a global project, any comments in code should be in English, and user experience should be considered in all aspects.
+- Thus you should consider the i18n support in all aspects.
+- LangBot is widely adopted in both toC and toB scenarios, so you should consider the compatibility and security in all aspects.
+- If you were asked to make a commit, please follow the commit message format: 
+    - format: <type>(<scope>): <subject>
+    - type: must be a specific type, such as feat (new feature), fix (bug fix), docs (documentation), style (code style), refactor (refactoring), perf (performance optimization), etc.
+    - scope: the scope of the commit, such as the package name, the file name, the function name, the class name, the module name, etc.
+    - subject: the subject of the commit, such as the description of the commit, the reason for the commit, the impact of the commit, etc.
+
+## Some Principles
+
+- Keep it simple, stupid.
+- Entities should not be multiplied unnecessarily
+- 八荣八耻
+
+    以瞎猜接口为耻，以认真查询为荣。
+    以模糊执行为耻，以寻求确认为荣。
+    以臆想业务为耻，以人类确认为荣。
+    以创造接口为耻，以复用现有为荣。
+    以跳过验证为耻，以主动测试为荣。
+    以破坏架构为耻，以遵循规范为荣。
+    以假装理解为耻，以诚实无知为荣。
+    以盲目修改为耻，以谨慎重构为荣。

CLAUDE.md

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

CONTRIBUTING.md

@@ -5,22 +5,27 @@
 ### 贡献形式
 
 - 提交PR，解决issues中提到的bug或期待的功能
-- 提交PR，实现您设想的功能（请先提出issue与作者沟通）
-- 优化代码架构，使各个模块的组织更加整洁优雅
-- 在issues中提出发现的bug或者期待的功能
+- 提交PR，实现您设想的功能（请先提出issue与项目维护者沟通）
 - 为本项目在其他社交平台撰写文章、制作视频等
 - 为本项目的衍生项目作出贡献，或开发插件增加功能
 
-### 如何开始
+### 沟通语言规范
 
-- 加入本项目交流群，一同探讨项目相关事务
-- 解决本项目或衍生项目的issues中亟待解决的问题
-- 阅读并完善本项目文档
-- 在各个社交媒体撰写本项目教程等
+- 在 PR 和 Commit Message 中请使用全英文
+- 对于中文用户，issue 中可以使用中文
 
-### 代码规范
+<hr/>
 
-- 代码中的注解`务必`符合Google风格的规范
-- 模块顶部的引入代码请遵循`系统模块`、`第三方库模块`、`自定义模块`的顺序进行引入
-- `不要`直接引入模块的特定属性，而是引入这个模块，再通过`xxx.yyy`的形式使用属性
-- 任何作用域的字段`必须`先声明后使用，并在声明处注明类型提示
+## Guidelines
+
+### Contribution
+
+- Submit PRs to solve bugs or features in the issues
+- Submit PRs to implement your ideas (Please create an issue first and communicate with the project maintainer)
+- Write articles or make videos about this project on other social platforms
+- Contribute to the development of derivative projects, or develop plugins to add features
+
+### Spoken Language
+
+- Use English in PRs and Commit Messages
+- For English users, you can use English in issues

Dockerfile

@@ -1,10 +1,23 @@
-FROM python:3.10.13-slim
+FROM node:22-alpine AS node
+
+WORKDIR /app
+
+COPY web ./web
+
+RUN cd web && npm install && npm run build
+
+FROM python:3.12.7-slim
+
 WORKDIR /app
 
 COPY . .
 
+COPY --from=node /app/web/out ./web/out
+
 RUN apt update \
     && apt install gcc -y \
-    && python -m pip install -r requirements.txt  
-                        
-CMD [ "python", "main.py" ]
+    && python -m pip install --no-cache-dir uv \
+    && uv sync \
+    && touch /.dockerenv
+
+CMD [ "uv", "run", "main.py" ]

LICENSE

@@ -1,661 +1,201 @@
-                    GNU AFFERO GENERAL PUBLIC LICENSE
-                       Version 3, 19 November 2007
-
- Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
- Everyone is permitted to copy and distribute verbatim copies
- of this license document, but changing it is not allowed.
-
-                            Preamble
-
-  The GNU Affero General Public License is a free, copyleft license for
-software and other kinds of works, specifically designed to ensure
-cooperation with the community in the case of network server software.
-
-  The licenses for most software and other practical works are designed
-to take away your freedom to share and change the works.  By contrast,
-our General Public Licenses are intended to guarantee your freedom to
-share and change all versions of a program--to make sure it remains free
-software for all its users.
-
-  When we speak of free software, we are referring to freedom, not
-price.  Our General Public Licenses are designed to make sure that you
-have the freedom to distribute copies of free software (and charge for
-them if you wish), that you receive source code or can get it if you
-want it, that you can change the software or use pieces of it in new
-free programs, and that you know you can do these things.
-
-  Developers that use our General Public Licenses protect your rights
-with two steps: (1) assert copyright on the software, and (2) offer
-you this License which gives you legal permission to copy, distribute
-and/or modify the software.
-
-  A secondary benefit of defending all users' freedom is that
-improvements made in alternate versions of the program, if they
-receive widespread use, become available for other developers to
-incorporate.  Many developers of free software are heartened and
-encouraged by the resulting cooperation.  However, in the case of
-software used on network servers, this result may fail to come about.
-The GNU General Public License permits making a modified version and
-letting the public access it on a server without ever releasing its
-source code to the public.
-
-  The GNU Affero General Public License is designed specifically to
-ensure that, in such cases, the modified source code becomes available
-to the community.  It requires the operator of a network server to
-provide the source code of the modified version running there to the
-users of that server.  Therefore, public use of a modified version, on
-a publicly accessible server, gives the public access to the source
-code of the modified version.
-
-  An older license, called the Affero General Public License and
-published by Affero, was designed to accomplish similar goals.  This is
-a different license, not a version of the Affero GPL, but Affero has
-released a new version of the Affero GPL which permits relicensing under
-this license.
-
-  The precise terms and conditions for copying, distribution and
-modification follow.
-
-                       TERMS AND CONDITIONS
-
-  0. Definitions.
-
-  "This License" refers to version 3 of the GNU Affero General Public License.
-
-  "Copyright" also means copyright-like laws that apply to other kinds of
-works, such as semiconductor masks.
-
-  "The Program" refers to any copyrightable work licensed under this
-License.  Each licensee is addressed as "you".  "Licensees" and
-"recipients" may be individuals or organizations.
-
-  To "modify" a work means to copy from or adapt all or part of the work
-in a fashion requiring copyright permission, other than the making of an
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-  An interactive user interface displays "Appropriate Legal Notices"
-to the extent that it includes a convenient and prominently visible
-feature that (1) displays an appropriate copyright notice, and (2)
-tells the user that there is no warranty for the work (except to the
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-
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-and you may offer support or warranty protection for a fee.
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-                     END OF TERMS AND CONDITIONS
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-            How to Apply These Terms to Your New Programs
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-
-Also add information on how to contact you by electronic and paper mail.
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-  If your software can interact with users remotely through a computer
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-For more information on this, and how to apply and follow the GNU AGPL, see
-<https://www.gnu.org/licenses/>.
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+   END OF TERMS AND CONDITIONS
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+   APPENDIX: How to apply the Apache License to your work.
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+      To apply the Apache License to your work, attach the following
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+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

README.md

@@ -1,49 +1,170 @@
 
 <p align="center">
-<img src="https://qchatgpt.rockchin.top/logo.png" alt="QChatGPT" width="180" />
-</p>
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_zh.png" alt="LangBot"/>
+</a>
 
 <div align="center">
 
-# QChatGPT
+<a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
 
-[![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/QChatGPT)](https://github.com/RockChinQ/QChatGPT/releases/latest)
-<a href="https://hub.docker.com/repository/docker/rockchin/qchatgpt">
-    <img src="https://img.shields.io/docker/pulls/rockchin/qchatgpt?color=blue" alt="docker pull">
-  </a>
-![Wakapi Count](https://wakapi.dev/api/badge/RockChinQ/interval:any/project:QChatGPT)
-<a href="https://codecov.io/gh/RockChinQ/QChatGPT" > 
- <img src="https://codecov.io/gh/RockChinQ/QChatGPT/graph/badge.svg?token=pjxYIL2kbC"/> 
- </a>
-<br/>
-<img src="https://img.shields.io/badge/python-3.9 | 3.10 | 3.11-blue.svg" alt="python">
-<a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=66-aWvn8cbP4c1ut_1YYkvvGVeEtyTH8&authKey=pTaKBK5C%2B8dFzQ4XlENf6MHTCLaHnlKcCRx7c14EeVVlpX2nRSaS8lJm8YeM4mCU&noverify=0&group_code=195992197">
-<img alt="Static Badge" src="https://img.shields.io/badge/%E5%AE%98%E6%96%B9%E7%BE%A4-195992197-purple">
-</a>
-<a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=nC80H57wmKPwRDLFeQrDDjVl81XuC21P&authKey=2wTUTfoQ5v%2BD4C5zfpuR%2BSPMDqdXgDXA%2FS2wHI1NxTfWIG%2B%2FqK08dgyjMMOzhXa9&noverify=0&group_code=248432104">
-<img alt="Static Badge" src="https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-248432104-purple">
-</a>
-<a href="https://www.bilibili.com/video/BV14h4y1w7TC">
-<img alt="Static Badge" src="https://img.shields.io/badge/%E8%A7%86%E9%A2%91%E6%95%99%E7%A8%8B-208647">
-</a>
-<a href="https://www.bilibili.com/video/BV11h4y1y74H">
-<img alt="Static Badge" src="https://img.shields.io/badge/Linux%E9%83%A8%E7%BD%B2%E8%A7%86%E9%A2%91-208647">
-</a>
+[English](README_EN.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
 
-## 使用文档
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-966235608-blue)](https://qm.qq.com/q/JLi38whHum)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
 
-<a href="https://qchatgpt.rockchin.top">项目主页</a> ｜
-<a href="https://qchatgpt.rockchin.top/posts/feature.html">功能介绍</a> ｜
-<a href="https://qchatgpt.rockchin.top/posts/deploy/">部署文档</a> ｜
-<a href="https://qchatgpt.rockchin.top/posts/error/">常见问题</a> ｜
-<a href="https://qchatgpt.rockchin.top/posts/plugin/intro.html">插件介绍</a> ｜
-<a href="https://github.com/RockChinQ/QChatGPT/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交插件</a>
+<a href="https://langbot.app">项目主页</a> ｜
+<a href="https://docs.langbot.app/zh/insight/guide.html">部署文档</a> ｜
+<a href="https://docs.langbot.app/zh/plugin/plugin-intro.html">插件介绍</a> ｜
+<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交插件</a>
 
-## 相关链接
 
-<a href="https://github.com/RockChinQ/qcg-installer">安装器源码</a> ｜
-<a href="https://github.com/RockChinQ/qcg-tester">测试工程源码</a> ｜
-<a href="https://github.com/the-lazy-me/QChatGPT-Wiki">官方文档储存库</a>
-
-<img alt="回复效果（带有联网插件）" src="https://qchatgpt.rockchin.top/assets/image/QChatGPT-1211.png" width="500px"/>
 </div>
+
+</p>
+
+LangBot 是一个开源的大语言模型原生即时通信机器人开发平台，旨在提供开箱即用的 IM 机器人开发体验，具有 Agent、RAG、MCP 等多种 LLM 应用功能，适配全球主流即时通信平台，并提供丰富的 API 接口，支持自定义开发。
+
+## 📦 开始使用
+
+#### 快速部署
+
+使用 `uvx` 一键启动（需要先安装 [uv](https://docs.astral.sh/uv/getting-started/installation/)）：
+
+```bash
+uvx langbot
+```
+
+访问 http://localhost:5300 即可开始使用。
+
+#### Docker Compose 部署
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+访问 http://localhost:5300 即可开始使用。
+
+详细文档[Docker 部署](https://docs.langbot.app/zh/deploy/langbot/docker.html)。
+
+#### 宝塔面板部署
+
+已上架宝塔面板，若您已安装宝塔面板，可以根据[文档](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html)使用。
+
+#### Zeabur 云部署
+
+社区贡献的 Zeabur 模板。
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
+
+#### Railway 云部署
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### 手动部署
+
+直接使用发行版运行，查看文档[手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html)。
+
+#### Kubernetes 部署
+
+参考 [Kubernetes 部署](./docker/README_K8S.md) 文档。
+
+## 😎 保持更新
+
+点击仓库右上角 Star 和 Watch 按钮，获取最新动态。
+
+![star gif](https://docs.langbot.app/star.gif)
+
+## ✨ 特性
+
+- 💬 大模型对话、Agent：支持多种大模型，适配群聊和私聊；具有多轮对话、工具调用、多模态、流式输出能力，自带 RAG（知识库）实现，并深度适配 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)等 LLMOps 平台。
+- 🤖 多平台支持：目前支持 QQ、QQ频道、企业微信、个人微信、飞书、Discord、Telegram 等平台。
+- 🛠️ 高稳定性、功能完备：原生支持访问控制、限速、敏感词过滤等机制；配置简单，支持多种部署方式。支持多流水线配置，不同机器人用于不同应用场景。
+- 🧩 插件扩展、活跃社区：高稳定性、高安全性的生产级插件系统，支持事件驱动、组件扩展等插件机制；适配 Anthropic [MCP 协议](https://modelcontextprotocol.io/)；目前已有数百个插件。
+- 😻 Web 管理面板：支持通过浏览器管理 LangBot 实例，不再需要手动编写配置文件。
+
+详细规格特性请访问[文档](https://docs.langbot.app/zh/insight/features.html)。
+
+或访问 demo 环境：https://demo.langbot.dev/  
+  - 登录信息：邮箱：`demo@langbot.app` 密码：`langbot123456`
+  - 注意：仅展示 WebUI 效果，公开环境，请不要在其中填入您的任何敏感信息。
+
+### 消息平台
+
+| 平台 | 状态 | 备注 |
+| --- | --- | --- |
+| QQ 个人号 | ✅ | QQ 个人号私聊、群聊 |
+| QQ 官方机器人 | ✅ | QQ 官方机器人，支持频道、私聊、群聊 |
+| 企业微信 | ✅ |  |
+| 企微对外客服 | ✅ |  |
+| 企微智能机器人 | ✅ |  |
+| 个人微信 | ✅ |  |
+| 微信公众号 | ✅ |  |
+| 飞书 | ✅ |  |
+| 钉钉 | ✅ |  |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+
+### 大模型能力
+
+| 模型 | 状态 | 备注 |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | 可接入任何 OpenAI 接口格式模型 |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [智谱AI](https://open.bigmodel.cn/) | ✅ |  |
+| [胜算云](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 全球大模型都可调用（友情推荐） |
+| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 资源平台 |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 资源平台 |
+| [接口 AI](https://jiekou.ai/) | ✅ | 大模型聚合平台，专注全球大模型接入 |
+| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
+| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
+| [Ollama](https://ollama.com/) | ✅ | 本地大模型运行平台 |
+| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台 |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型接口聚合平台 |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
+| [小马算力](https://www.tokenpony.cn/453z1) | ✅ | 大模型聚合平台 |
+| [阿里云百炼](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
+| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | 大模型聚合平台, LLMOps 平台 |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | 大模型聚合平台 |
+| [MCP](https://modelcontextprotocol.io/) | ✅ | 支持通过 MCP 协议获取工具 |
+| [百宝箱Tbox](https://www.tbox.cn/open) | ✅ | 蚂蚁百宝箱智能体平台，每月免费10亿大模型Token |
+
+### TTS
+
+| 平台/模型 | 备注 |
+| --- | --- |
+| [FishAudio](https://fish.audio/zh-CN/discovery/) | [插件](https://github.com/the-lazy-me/NewChatVoice) |
+| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [插件](https://github.com/the-lazy-me/NewChatVoice) |
+| [AzureTTS](https://portal.azure.com/) | [插件](https://github.com/Ingnaryk/LangBot_AzureTTS) |
+
+### 文生图
+
+| 平台/模型 | 备注 |
+| --- | --- |
+| 阿里云百炼 | [插件](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin)
+
+## 😘 社区贡献
+
+感谢以下[代码贡献者](https://github.com/langbot-app/LangBot/graphs/contributors)和社区里其他成员对 LangBot 的贡献：
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>
+
+<!--
+## For Code Agents
+
+If you're a code agent based on LLM, you should read [AGENTS.md](AGENTS.md) to understand the project structure and development process before you start any development.
+-->

README_EN.md

@@ -0,0 +1,143 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+
+<a href="https://langbot.app">Home</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">Deployment</a> ｜
+<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Plugin</a> ｜
+<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Submit Plugin</a>
+
+</div>
+
+</p>
+
+LangBot is an open-source LLM native instant messaging robot development platform, aiming to provide out-of-the-box IM robot development experience, with Agent, RAG, MCP and other LLM application functions, adapting to global instant messaging platforms, and providing rich API interfaces, supporting custom development.
+
+## 📦 Getting Started
+
+#### Quick Start
+
+Use `uvx` to start with one command (need to install [uv](https://docs.astral.sh/uv/getting-started/installation/)):
+
+```bash
+uvx langbot
+```
+
+Visit http://localhost:5300 to start using it.
+
+#### Docker Compose Deployment
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+Visit http://localhost:5300 to start using it.
+
+Detailed documentation [Docker Deployment](https://docs.langbot.app/en/deploy/langbot/docker.html).
+
+#### One-click Deployment on BTPanel
+
+LangBot has been listed on the BTPanel, if you have installed the BTPanel, you can use the [document](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) to use it.
+
+#### Zeabur Cloud Deployment
+
+Community contributed Zeabur template.
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+
+#### Railway Cloud Deployment
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### Other Deployment Methods
+
+Directly use the released version to run, see the [Manual Deployment](https://docs.langbot.app/en/deploy/langbot/manual.html) documentation.
+
+#### Kubernetes Deployment
+
+Refer to the [Kubernetes Deployment](./docker/README_K8S.md) documentation.
+
+## 😎 Stay Ahead
+
+Click the Star and Watch button in the upper right corner of the repository to get the latest updates.
+
+![star gif](https://docs.langbot.app/star.gif)
+
+## ✨ Features
+
+- 💬 Chat with LLM / Agent: Supports multiple LLMs, adapt to group chats and private chats; Supports multi-round conversations, tool calls, multi-modal, and streaming output capabilities. Built-in RAG (knowledge base) implementation, and deeply integrates with [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) etc. LLMOps platforms.
+- 🤖 Multi-platform Support: Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, etc.
+- 🛠️ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods. Supports multiple pipeline configurations, different bots can be used for different scenarios.
+- 🧩 Plugin Extension, Active Community: High stability, high security production-level plugin system; Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic [MCP protocol](https://modelcontextprotocol.io/); Currently has hundreds of plugins.
+- 😻 Web UI: Support management LangBot instance through the browser. No need to manually write configuration files.
+
+For more detailed specifications, please refer to the [documentation](https://docs.langbot.app/en/insight/features.html).
+
+Or visit the demo environment: https://demo.langbot.dev/
+  - Login information: Email: `demo@langbot.app` Password: `langbot123456`
+  - Note: For WebUI demo only, please do not fill in any sensitive information in the public environment.
+
+### Message Platform
+
+| Platform | Status | Remarks |
+| --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| Personal QQ | ✅ |  |
+| QQ Official API | ✅ |  |
+| WeCom | ✅ |  |
+| WeComCS | ✅ |  |
+| WeCom AI Bot | ✅ |  |
+| Personal WeChat | ✅ |  |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+
+### LLMs
+
+| LLM | Status | Remarks |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | Available for any OpenAI interface format model |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | LLM and GPU resource platform |
+| [Dify](https://dify.ai) | ✅ | LLMOps platform |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM and GPU resource platform |
+| [接口 AI](https://jiekou.ai/) | ✅ | LLM aggregation platform, dedicated to global LLMs |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLM and GPU resource platform |
+| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLM gateway(MaaS) |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
+| [Ollama](https://ollama.com/) | ✅ | Local LLM running platform |
+| [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | LLM interface gateway(MaaS) |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM gateway(MaaS) |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM gateway(MaaS), LLMOps platform |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLM gateway(MaaS), LLMOps platform |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLM gateway(MaaS) |
+| [MCP](https://modelcontextprotocol.io/) | ✅ | Support tool access through MCP protocol |
+
+## 🤝 Community Contribution
+
+Thank you for the following [code contributors](https://github.com/langbot-app/LangBot/graphs/contributors) and other members in the community for their contributions to LangBot:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_ES.md

@@ -0,0 +1,143 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / Español / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+
+<a href="https://langbot.app">Inicio</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">Despliegue</a> ｜
+<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Plugin</a> ｜
+<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Enviar Plugin</a>
+
+</div>
+
+</p>
+
+LangBot es una plataforma de desarrollo de robots de mensajería instantánea nativa de LLM de código abierto, con el objetivo de proporcionar una experiencia de desarrollo de robots de mensajería instantánea lista para usar, con funciones de aplicación LLM como Agent, RAG, MCP, adaptándose a plataformas de mensajería instantánea globales y proporcionando interfaces API ricas, compatible con desarrollo personalizado.
+
+## 📦 Comenzar
+
+#### Inicio Rápido
+
+Use `uvx` para iniciar con un comando (necesita instalar [uv](https://docs.astral.sh/uv/getting-started/installation/)):
+
+```bash
+uvx langbot
+```
+
+Visite http://localhost:5300 para comenzar a usarlo.
+
+#### Despliegue con Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+Visite http://localhost:5300 para comenzar a usarlo.
+
+Documentación detallada [Despliegue con Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
+
+#### Despliegue con un clic en BTPanel
+
+LangBot ha sido listado en BTPanel. Si tiene BTPanel instalado, puede usar la [documentación](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) para usarlo.
+
+#### Despliegue en la Nube Zeabur
+
+Plantilla de Zeabur contribuida por la comunidad.
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+
+#### Despliegue en la Nube Railway
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### Otros Métodos de Despliegue
+
+Use directamente la versión publicada para ejecutar, consulte la documentación de [Despliegue Manual](https://docs.langbot.app/en/deploy/langbot/manual.html).
+
+#### Despliegue en Kubernetes
+
+Consulte la documentación de [Despliegue en Kubernetes](./docker/README_K8S.md).
+
+## 😎 Manténgase Actualizado
+
+Haga clic en los botones Star y Watch en la esquina superior derecha del repositorio para obtener las últimas actualizaciones.
+
+![star gif](https://docs.langbot.app/star.gif)
+
+## ✨ Características
+
+- 💬 Chat con LLM / Agent: Compatible con múltiples LLMs, adaptado para chats grupales y privados; Admite conversaciones de múltiples rondas, llamadas a herramientas, capacidades multimodales y de salida en streaming. Implementación RAG (base de conocimientos) incorporada, e integración profunda con [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) etc. LLMOps platforms.
+- 🤖 Soporte Multiplataforma: Actualmente compatible con QQ, QQ Channel, WeCom, WeChat personal, Lark, DingTalk, Discord, Telegram, etc.
+- 🛠️ Alta Estabilidad, Rico en Funciones: Control de acceso nativo, limitación de velocidad, filtrado de palabras sensibles, etc.; Fácil de usar, admite múltiples métodos de despliegue. Compatible con múltiples configuraciones de pipeline, diferentes bots para diferentes escenarios.
+- 🧩 Extensión de Plugin, Comunidad Activa: Sistema de plugin de alta estabilidad, alta seguridad de nivel de producción; Compatible con mecanismos de plugin impulsados por eventos, extensión de componentes, etc.; Integración del protocolo [MCP](https://modelcontextprotocol.io/) de Anthropic; Actualmente cuenta con cientos de plugins.
+- 😻 Interfaz Web: Admite la gestión de instancias de LangBot a través del navegador. No es necesario escribir archivos de configuración manualmente.
+
+Para especificaciones más detalladas, consulte la [documentación](https://docs.langbot.app/en/insight/features.html).
+
+O visite el entorno de demostración: https://demo.langbot.dev/
+  - Información de inicio de sesión: Correo electrónico: `demo@langbot.app` Contraseña: `langbot123456`
+  - Nota: Solo para demostración de WebUI, por favor no ingrese información confidencial en el entorno público.
+
+### Plataformas de Mensajería
+
+| Plataforma | Estado | Observaciones |
+| --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ Personal | ✅ |  |
+| QQ API Oficial | ✅ |  |
+| WeCom | ✅ |  |
+| WeComCS | ✅ |  |
+| WeCom AI Bot | ✅ |  |
+| WeChat Personal | ✅ |  |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+
+### LLMs
+
+| LLM | Estado | Observaciones |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | Disponible para cualquier modelo con formato de interfaz OpenAI |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | Plataforma de recursos LLM y GPU |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Plataforma de recursos LLM y GPU |
+| [接口 AI](https://jiekou.ai/) | ✅ | Plataforma de agregación LLM |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Plataforma de recursos LLM y GPU |
+| [302.AI](https://share.302.ai/SuTG99) | ✅ | Gateway LLM (MaaS) |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
+| [Dify](https://dify.ai) | ✅ | Plataforma LLMOps |
+| [Ollama](https://ollama.com/) | ✅ | Plataforma de ejecución de LLM local |
+| [LMStudio](https://lmstudio.ai/) | ✅ | Plataforma de ejecución de LLM local |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | Gateway de interfaz LLM (MaaS) |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | Gateway LLM (MaaS) |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Gateway LLM (MaaS), plataforma LLMOps |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Gateway LLM (MaaS), plataforma LLMOps |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Gateway LLM (MaaS) |
+| [MCP](https://modelcontextprotocol.io/) | ✅ | Compatible con acceso a herramientas a través del protocolo MCP |
+
+## 🤝 Contribución de la Comunidad
+
+Gracias a los siguientes [contribuidores de código](https://github.com/langbot-app/LangBot/graphs/contributors) y otros miembros de la comunidad por sus contribuciones a LangBot:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_FR.md

@@ -0,0 +1,143 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / Français / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+
+<a href="https://langbot.app">Accueil</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">Déploiement</a> ｜
+<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Plugin</a> ｜
+<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Soumettre un Plugin</a>
+
+</div>
+
+</p>
+
+LangBot est une plateforme de développement de robots de messagerie instantanée native LLM open source, visant à fournir une expérience de développement de robots de messagerie instantanée prête à l'emploi, avec des fonctionnalités d'application LLM telles qu'Agent, RAG, MCP, s'adaptant aux plateformes de messagerie instantanée mondiales et fournissant des interfaces API riches, prenant en charge le développement personnalisé.
+
+## 📦 Commencer
+
+#### Démarrage Rapide
+
+Utilisez `uvx` pour démarrer avec une commande (besoin d'installer [uv](https://docs.astral.sh/uv/getting-started/installation/)) :
+
+```bash
+uvx langbot
+```
+
+Visitez http://localhost:5300 pour commencer à l'utiliser.
+
+#### Déploiement avec Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+Visitez http://localhost:5300 pour commencer à l'utiliser.
+
+Documentation détaillée [Déploiement Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
+
+#### Déploiement en un clic sur BTPanel
+
+LangBot a été répertorié sur BTPanel. Si vous avez installé BTPanel, vous pouvez utiliser la [documentation](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) pour l'utiliser.
+
+#### Déploiement Cloud Zeabur
+
+Modèle Zeabur contribué par la communauté.
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+
+#### Déploiement Cloud Railway
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### Autres Méthodes de Déploiement
+
+Utilisez directement la version publiée pour exécuter, consultez la documentation de [Déploiement Manuel](https://docs.langbot.app/en/deploy/langbot/manual.html).
+
+#### Déploiement Kubernetes
+
+Consultez la documentation de [Déploiement Kubernetes](./docker/README_K8S.md).
+
+## 😎 Restez à Jour
+
+Cliquez sur les boutons Star et Watch dans le coin supérieur droit du dépôt pour obtenir les dernières mises à jour.
+
+![star gif](https://docs.langbot.app/star.gif)
+
+## ✨ Fonctionnalités
+
+- 💬 Chat avec LLM / Agent : Prend en charge plusieurs LLM, adapté aux chats de groupe et privés ; Prend en charge les conversations multi-tours, les appels d'outils, les capacités multimodales et de sortie en streaming. Implémentation RAG (base de connaissances) intégrée, et intégration profonde avec [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) etc. LLMOps platforms.
+- 🤖 Support Multi-plateforme : Actuellement compatible avec QQ, QQ Channel, WeCom, WeChat personnel, Lark, DingTalk, Discord, Telegram, etc.
+- 🛠️ Haute Stabilité, Riche en Fonctionnalités : Contrôle d'accès natif, limitation de débit, filtrage de mots sensibles, etc. ; Facile à utiliser, prend en charge plusieurs méthodes de déploiement. Prend en charge plusieurs configurations de pipeline, différents bots pour différents scénarios.
+- 🧩 Extension de Plugin, Communauté Active : Système de plugin de haute stabilité, haute sécurité de niveau production; Prend en charge les mécanismes de plugin pilotés par événements, l'extension de composants, etc. ; Intégration du protocole [MCP](https://modelcontextprotocol.io/) d'Anthropic ; Dispose actuellement de centaines de plugins.
+- 😻 Interface Web : Prend en charge la gestion des instances LangBot via le navigateur. Pas besoin d'écrire manuellement les fichiers de configuration.
+
+Pour des spécifications plus détaillées, veuillez consulter la [documentation](https://docs.langbot.app/en/insight/features.html).
+
+Ou visitez l'environnement de démonstration : https://demo.langbot.dev/
+  - Informations de connexion : Email : `demo@langbot.app` Mot de passe : `langbot123456`
+  - Note : Pour la démonstration WebUI uniquement, veuillez ne pas entrer d'informations sensibles dans l'environnement public.
+
+### Plateformes de Messagerie
+
+| Plateforme | Statut | Remarques |
+| --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ Personnel | ✅ |  |
+| API Officielle QQ | ✅ |  |
+| WeCom | ✅ |  |
+| WeComCS | ✅ |  |
+| WeCom AI Bot | ✅ |  |
+| WeChat Personnel | ✅ |  |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+
+### LLMs
+
+| LLM | Statut | Remarques |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | Disponible pour tout modèle au format d'interface OpenAI |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | Plateforme de ressources LLM et GPU |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Plateforme de ressources LLM et GPU |
+| [接口 AI](https://jiekou.ai/) | ✅ | Plateforme d'agrégation LLM |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Plateforme de ressources LLM et GPU |
+| [302.AI](https://share.302.ai/SuTG99) | ✅ | Passerelle LLM (MaaS) |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
+| [Dify](https://dify.ai) | ✅ | Plateforme LLMOps |
+| [Ollama](https://ollama.com/) | ✅ | Plateforme d'exécution LLM locale |
+| [LMStudio](https://lmstudio.ai/) | ✅ | Plateforme d'exécution LLM locale |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | Passerelle d'interface LLM (MaaS) |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | Passerelle LLM (MaaS) |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Passerelle LLM (MaaS), plateforme LLMOps |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Passerelle LLM (MaaS), plateforme LLMOps |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Passerelle LLM (MaaS) |
+| [MCP](https://modelcontextprotocol.io/) | ✅ | Prend en charge l'accès aux outils via le protocole MCP |
+
+## 🤝 Contribution de la Communauté
+
+Merci aux [contributeurs de code](https://github.com/langbot-app/LangBot/graphs/contributors) suivants et aux autres membres de la communauté pour leurs contributions à LangBot :
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_JP.md

@@ -0,0 +1,143 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / 日本語 / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+
+<a href="https://langbot.app">ホーム</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">デプロイ</a> ｜
+<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">プラグイン</a> ｜
+<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">プラグインの提出</a>
+
+</div>
+
+</p>
+
+LangBot は、エージェント、RAG、MCP などの LLM アプリケーション機能を備えた、オープンソースの LLM ネイティブのインスタントメッセージングロボット開発プラットフォームです。世界中のインスタントメッセージングプラットフォームに適応し、豊富な API インターフェースを提供し、カスタム開発をサポートします。
+
+## 📦 始め方
+
+#### クイックスタート
+
+`uvx` を使用した迅速なデプロイ（[uv](https://docs.astral.sh/uv/getting-started/installation/) が必要です）：
+
+```bash
+uvx langbot
+```
+
+http://localhost:5300 にアクセスして使用を開始します。
+
+#### Docker Compose デプロイ
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+http://localhost:5300 にアクセスして使用を開始します。
+
+詳細なドキュメントは[Dockerデプロイ](https://docs.langbot.app/en/deploy/langbot/docker.html)を参照してください。
+
+#### Panelでのワンクリックデプロイ
+
+LangBotはBTPanelにリストされています。BTPanelをインストールしている場合は、[ドキュメント](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html)を使用して使用できます。
+
+#### Zeaburクラウドデプロイ
+
+コミュニティが提供するZeaburテンプレート。
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+
+#### Railwayクラウドデプロイ
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### その他のデプロイ方法
+
+リリースバージョンを直接使用して実行します。[手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html)のドキュメントを参照してください。
+
+#### Kubernetes デプロイ
+
+[Kubernetes デプロイ](./docker/README_K8S.md) ドキュメントを参照してください。
+
+## 😎 最新情報を入手
+
+リポジトリの右上にある Star と Watch ボタンをクリックして、最新の更新を取得してください。
+
+![star gif](https://docs.langbot.app/star.gif)
+
+## ✨ 機能
+
+- 💬 LLM / エージェントとのチャット: 複数のLLMをサポートし、グループチャットとプライベートチャットに対応。マルチラウンドの会話、ツールの呼び出し、マルチモーダル、ストリーミング出力機能をサポート、RAG（知識ベース）を組み込み、[Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io) などの LLMOps プラットフォームと深く統合。
+- 🤖 多プラットフォーム対応: 現在、QQ、QQ チャンネル、WeChat、個人 WeChat、Lark、DingTalk、Discord、Telegram など、複数のプラットフォームをサポートしています。
+- 🛠️ 高い安定性、豊富な機能: ネイティブのアクセス制御、レート制限、敏感な単語のフィルタリングなどのメカニズムをサポート。使いやすく、複数のデプロイ方法をサポート。複数のパイプライン設定をサポートし、異なるボットを異なる用途に使用できます。
+- 🧩 プラグイン拡張、活発なコミュニティ: 高い安定性、高いセキュリティの生産レベルのプラグインシステム；イベント駆動、コンポーネント拡張などのプラグインメカニズムをサポート。適配 Anthropic [MCP プロトコル](https://modelcontextprotocol.io/)；豊富なエコシステム、現在数百のプラグインが存在。
+- 😻 Web UI: ブラウザを通じてLangBotインスタンスを管理することをサポート。
+
+詳細な仕様については、[ドキュメント](https://docs.langbot.app/en/insight/features.html)を参照してください。
+
+または、デモ環境にアクセスしてください: https://demo.langbot.dev/
+  - ログイン情報: メール: `demo@langbot.app` パスワード: `langbot123456`
+  - 注意: WebUI のデモンストレーションのみの場合、公開環境では機密情報を入力しないでください。
+
+### メッセージプラットフォーム
+
+| プラットフォーム | ステータス | 備考 |
+| --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| 個人QQ | ✅ |  |
+| QQ公式API | ✅ |  |
+| WeCom | ✅ |  |
+| WeComCS | ✅ |  |
+| WeCom AI Bot | ✅ |  |
+| 個人WeChat | ✅ | |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+
+### LLMs
+
+| LLM | ステータス | 備考 |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | 任意のOpenAIインターフェース形式モデルに対応 |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
+| [接口 AI](https://jiekou.ai/) | ✅ | LLMゲートウェイ(MaaS) |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLMとGPUリソースプラットフォーム |
+| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLMゲートウェイ(MaaS) |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
+| [Dify](https://dify.ai) | ✅ | LLMOpsプラットフォーム |
+| [Ollama](https://ollama.com/) | ✅ | ローカルLLM実行プラットフォーム |
+| [LMStudio](https://lmstudio.ai/) | ✅ | ローカルLLM実行プラットフォーム |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | LLMインターフェースゲートウェイ(MaaS) |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLMゲートウェイ(MaaS) |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLMゲートウェイ(MaaS), LLMOpsプラットフォーム |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLMゲートウェイ(MaaS), LLMOpsプラットフォーム |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLMゲートウェイ(MaaS) |
+| [MCP](https://modelcontextprotocol.io/) | ✅ | MCPプロトコルをサポート |
+
+## 🤝 コミュニティ貢献
+
+LangBot への貢献に対して、以下の [コード貢献者](https://github.com/langbot-app/LangBot/graphs/contributors) とコミュニティの他のメンバーに感謝します。
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_KO.md

@@ -0,0 +1,143 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / 한국어 / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+
+<a href="https://langbot.app">홈</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">배포</a> ｜
+<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">플러그인</a> ｜
+<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">플러그인 제출</a>
+
+</div>
+
+</p>
+
+LangBot은 오픈 소스 LLM 네이티브 인스턴트 메시징 로봇 개발 플랫폼으로, Agent, RAG, MCP 등 다양한 LLM 애플리케이션 기능을 갖춘 즉시 사용 가능한 IM 로봇 개발 경험을 제공하며, 글로벌 인스턴트 메시징 플랫폼에 적응하고 풍부한 API 인터페이스를 제공하여 맞춤형 개발을 지원합니다.
+
+## 📦 시작하기
+
+#### 빠른 시작
+
+`uvx`를 사용하여 한 명령으로 시작하세요 ([uv](https://docs.astral.sh/uv/getting-started/installation/) 설치 필요):
+
+```bash
+uvx langbot
+```
+
+http://localhost:5300을 방문하여 사용을 시작하세요.
+
+#### Docker Compose 배포
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+http://localhost:5300을 방문하여 사용을 시작하세요.
+
+자세한 문서는 [Docker 배포](https://docs.langbot.app/en/deploy/langbot/docker.html)를 참조하세요.
+
+#### BTPanel 원클릭 배포
+
+LangBot은 BTPanel에 등록되어 있습니다. BTPanel을 설치한 경우 [문서](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html)를 사용하여 사용할 수 있습니다.
+
+#### Zeabur 클라우드 배포
+
+커뮤니티에서 제공하는 Zeabur 템플릿입니다.
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+
+#### Railway 클라우드 배포
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### 기타 배포 방법
+
+릴리스 버전을 직접 사용하여 실행하려면 [수동 배포](https://docs.langbot.app/en/deploy/langbot/manual.html) 문서를 참조하세요.
+
+#### Kubernetes 배포
+
+[Kubernetes 배포](./docker/README_K8S.md) 문서를 참조하세요.
+
+## 😎 최신 정보 받기
+
+리포지토리 오른쪽 상단의 Star 및 Watch 버튼을 클릭하여 최신 업데이트를 받으세요.
+
+![star gif](https://docs.langbot.app/star.gif)
+
+## ✨ 기능
+
+- 💬 LLM / Agent와 채팅: 여러 LLM을 지원하며 그룹 채팅 및 개인 채팅에 적응; 멀티 라운드 대화, 도구 호출, 멀티모달, 스트리밍 출력 기능을 지원합니다. 내장된 RAG(지식 베이스) 구현 및 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io) 등의 LLMOps 플랫폼과 깊이 통합됩니다.
+- 🤖 다중 플랫폼 지원: 현재 QQ, QQ Channel, WeCom, 개인 WeChat, Lark, DingTalk, Discord, Telegram 등을 지원합니다.
+- 🛠️ 높은 안정성, 풍부한 기능: 네이티브 액세스 제어, 속도 제한, 민감한 단어 필터링 등의 메커니즘; 사용하기 쉽고 여러 배포 방법을 지원합니다. 여러 파이프라인 구성을 지원하며 다양한 시나리오에 대해 다른 봇을 사용할 수 있습니다.
+- 🧩 플러그인 확장, 활발한 커뮤니티: 고안정성, 고보안 생산 수준의 플러그인 시스템; 이벤트 기반, 컴포넌트 확장 등의 플러그인 메커니즘을 지원; Anthropic [MCP 프로토콜](https://modelcontextprotocol.io/) 통합; 현재 수백 개의 플러그인이 있습니다.
+- 😻 웹 UI: 브라우저를 통해 LangBot 인스턴스 관리를 지원합니다. 구성 파일을 수동으로 작성할 필요가 없습니다.
+
+더 자세한 사양은 [문서](https://docs.langbot.app/en/insight/features.html)를 참조하세요.
+
+또는 데모 환경을 방문하세요: https://demo.langbot.dev/
+  - 로그인 정보: 이메일: `demo@langbot.app` 비밀번호: `langbot123456`
+  - 참고: WebUI 데모 전용이므로 공개 환경에서는 민감한 정보를 입력하지 마세요.
+
+### 메시징 플랫폼
+
+| 플랫폼 | 상태 | 비고 |
+| --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| 개인 QQ | ✅ |  |
+| QQ 공식 API | ✅ |  |
+| WeCom | ✅ |  |
+| WeComCS | ✅ |  |
+| WeCom AI Bot | ✅ |  |
+| 개인 WeChat | ✅ |  |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+
+### LLMs
+
+| LLM | 상태 | 비고 |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | 모든 OpenAI 인터페이스 형식 모델에 사용 가능 |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | LLM 및 GPU 리소스 플랫폼 |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM 및 GPU 리소스 플랫폼 |
+| [接口 AI](https://jiekou.ai/) | ✅ | LLM 집계 플랫폼 |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLM 및 GPU 리소스 플랫폼 |
+| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLM 게이트웨이(MaaS) |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
+| [Dify](https://dify.ai) | ✅ | LLMOps 플랫폼 |
+| [Ollama](https://ollama.com/) | ✅ | 로컬 LLM 실행 플랫폼 |
+| [LMStudio](https://lmstudio.ai/) | ✅ | 로컬 LLM 실행 플랫폼 |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | LLM 인터페이스 게이트웨이(MaaS) |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM 게이트웨이(MaaS) |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM 게이트웨이(MaaS), LLMOps 플랫폼 |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLM 게이트웨이(MaaS), LLMOps 플랫폼 |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLM 게이트웨이(MaaS) |
+| [MCP](https://modelcontextprotocol.io/) | ✅ | MCP 프로토콜을 통한 도구 액세스 지원 |
+
+## 🤝 커뮤니티 기여
+
+다음 [코드 기여자](https://github.com/langbot-app/LangBot/graphs/contributors) 및 커뮤니티의 다른 구성원들의 LangBot 기여에 감사드립니다:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_RU.md

@@ -0,0 +1,143 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / Русский / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+
+<a href="https://langbot.app">Главная</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">Развертывание</a> ｜
+<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Плагин</a> ｜
+<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Отправить плагин</a>
+
+</div>
+
+</p>
+
+LangBot — это платформа разработки ботов для мгновенных сообщений на основе LLM с открытым исходным кодом, целью которой является предоставление готового к использованию опыта разработки ботов для IM, с функциями приложений LLM, такими как Agent, RAG, MCP, адаптацией к глобальным платформам мгновенных сообщений и предоставлением богатых API-интерфейсов, поддерживающих пользовательскую разработку.
+
+## 📦 Начало работы
+
+#### Быстрый старт
+
+Используйте `uvx` для запуска одной командой (требуется установка [uv](https://docs.astral.sh/uv/getting-started/installation/)):
+
+```bash
+uvx langbot
+```
+
+Посетите http://localhost:5300, чтобы начать использование.
+
+#### Развертывание с Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+Посетите http://localhost:5300, чтобы начать использование.
+
+Подробная документация [Развертывание Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
+
+#### Развертывание одним кликом на BTPanel
+
+LangBot добавлен в BTPanel. Если у вас установлен BTPanel, вы можете использовать [документацию](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) для его использования.
+
+#### Облачное развертывание Zeabur
+
+Шаблон Zeabur, предоставленный сообществом.
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+
+#### Облачное развертывание Railway
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### Другие методы развертывания
+
+Используйте выпущенную версию напрямую для запуска, см. документацию [Ручное развертывание](https://docs.langbot.app/en/deploy/langbot/manual.html).
+
+#### Развертывание Kubernetes
+
+См. документацию [Развертывание Kubernetes](./docker/README_K8S.md).
+
+## 😎 Оставайтесь в курсе
+
+Нажмите кнопки Star и Watch в правом верхнем углу репозитория, чтобы получать последние обновления.
+
+![star gif](https://docs.langbot.app/star.gif)
+
+## ✨ Функции
+
+- 💬 Чат с LLM / Agent: Поддержка нескольких LLM, адаптация к групповым и личным чатам; Поддержка многораундовых разговоров, вызовов инструментов, мультимодальных возможностей и потоковой передачи. Встроенная реализация RAG (база знаний) и глубокая интеграция с [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) 등의 LLMOps 플랫포트폼과 깊이 통합됩니다.
+- 🤖 Многоплатформенная поддержка: В настоящее время поддерживает QQ, QQ Channel, WeCom, личный WeChat, Lark, DingTalk, Discord, Telegram и т.д.
+- 🛠️ Высокая стабильность, богатство функций: Нативный контроль доступа, ограничение скорости, фильтрация чувствительных слов и т.д.; Простота в использовании, поддержка нескольких методов развертывания. Поддержка нескольких конфигураций конвейера, разные боты для разных сценариев.
+- 🧩 Расширение плагинов, активное сообщество: Высокая стабильность, высокая безопасность уровня производства; Поддержка механизмов плагинов, управляемых событиями, расширения компонентов и т.д.; Интеграция протокола [MCP](https://modelcontextprotocol.io/) от Anthropic; В настоящее время сотни плагинов.
+- 😻 Веб-интерфейс: Поддержка управления экземплярами LangBot через браузер. Нет необходимости вручную писать конфигурационные файлы.
+
+Для более подробных спецификаций обратитесь к [документации](https://docs.langbot.app/en/insight/features.html).
+
+Или посетите демонстрационную среду: https://demo.langbot.dev/
+  - Информация для входа: Email: `demo@langbot.app` Пароль: `langbot123456`
+  - Примечание: Только для демонстрации WebUI, пожалуйста, не вводите конфиденциальную информацию в общедоступной среде.
+
+### Платформы обмена сообщениями
+
+| Платформа | Статус | Примечания |
+| --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| Личный QQ | ✅ |  |
+| Официальный API QQ | ✅ |  |
+| WeCom | ✅ |  |
+| WeComCS | ✅ |  |
+| WeCom AI Bot | ✅ |  |
+| Личный WeChat | ✅ |  |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+
+### LLMs
+
+| LLM | Статус | Примечания |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | Доступна для любой модели формата интерфейса OpenAI |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | Платформа ресурсов LLM и GPU |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Платформа ресурсов LLM и GPU |
+| [接口 AI](https://jiekou.ai/) | ✅ | Платформа агрегации LLM |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Платформа ресурсов LLM и GPU |
+| [302.AI](https://share.302.ai/SuTG99) | ✅ | Шлюз LLM (MaaS) |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
+| [Dify](https://dify.ai) | ✅ | Платформа LLMOps |
+| [Ollama](https://ollama.com/) | ✅ | Платформа локального запуска LLM |
+| [LMStudio](https://lmstudio.ai/) | ✅ | Платформа локального запуска LLM |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | Шлюз интерфейса LLM (MaaS) |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | Шлюз LLM (MaaS) |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Шлюз LLM (MaaS), платформа LLMOps |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Шлюз LLM (MaaS), платформа LLMOps |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Шлюз LLM (MaaS) |
+| [MCP](https://modelcontextprotocol.io/) | ✅ | Поддержка доступа к инструментам через протокол MCP |
+
+## 🤝 Вклад сообщества
+
+Спасибо следующим [контрибьюторам кода](https://github.com/langbot-app/LangBot/graphs/contributors) и другим членам сообщества за их вклад в LangBot:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_TW.md

@@ -0,0 +1,157 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_zh.png" alt="LangBot"/>
+</a>
+
+<div align="center"><a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+[English](README_EN.md) / [简体中文](README.md) / 繁體中文 / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-966235608-blue)](https://qm.qq.com/q/JLi38whHum)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
+
+<a href="https://langbot.app">主頁</a> ｜
+<a href="https://docs.langbot.app/zh/insight/guide.html">部署文件</a> ｜
+<a href="https://docs.langbot.app/zh/plugin/plugin-intro.html">外掛介紹</a> ｜
+<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交外掛</a>
+
+</div>
+
+</p>
+
+LangBot 是一個開源的大語言模型原生即時通訊機器人開發平台，旨在提供開箱即用的 IM 機器人開發體驗，具有 Agent、RAG、MCP 等多種 LLM 應用功能，適配全球主流即時通訊平台，並提供豐富的 API 介面，支援自定義開發。
+
+## 📦 開始使用
+
+#### 快速部署
+
+使用 `uvx` 一鍵啟動（需要先安裝 [uv](https://docs.astral.sh/uv/getting-started/installation/) ）：
+
+```bash
+uvx langbot
+```
+
+訪問 http://localhost:5300 即可開始使用。
+
+#### Docker Compose 部署
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+訪問 http://localhost:5300 即可開始使用。
+
+詳細文件[Docker 部署](https://docs.langbot.app/zh/deploy/langbot/docker.html)。
+
+#### 寶塔面板部署
+
+已上架寶塔面板，若您已安裝寶塔面板，可以根據[文件](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html)使用。
+
+#### Zeabur 雲端部署
+
+社群貢獻的 Zeabur 模板。
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
+
+#### Railway 雲端部署
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### 手動部署
+
+直接使用發行版運行，查看文件[手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html)。
+
+#### Kubernetes 部署
+
+參考 [Kubernetes 部署](./docker/README_K8S.md) 文件。
+
+## 😎 保持更新
+
+點擊倉庫右上角 Star 和 Watch 按鈕，獲取最新動態。
+
+![star gif](https://docs.langbot.app/star.gif)
+
+## ✨ 特性
+
+- 💬 大模型對話、Agent：支援多種大模型，適配群聊和私聊；具有多輪對話、工具調用、多模態、流式輸出能力，自帶 RAG（知識庫）實現，並深度適配 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io) 等 LLMOps 平台。
+- 🤖 多平台支援：目前支援 QQ、QQ頻道、企業微信、個人微信、飛書、Discord、Telegram 等平台。
+- 🛠️ 高穩定性、功能完備：原生支援訪問控制、限速、敏感詞過濾等機制；配置簡單，支援多種部署方式。支援多流水線配置，不同機器人用於不同應用場景。
+- 🧩 外掛擴展、活躍社群：高穩定性、高安全性的生產級外掛系統；支援事件驅動、組件擴展等外掛機制；適配 Anthropic [MCP 協議](https://modelcontextprotocol.io/)；目前已有數百個外掛。
+- 😻 Web 管理面板：支援通過瀏覽器管理 LangBot 實例，不再需要手動編寫配置文件。
+
+詳細規格特性請訪問[文件](https://docs.langbot.app/zh/insight/features.html)。
+
+或訪問 demo 環境：https://demo.langbot.dev/  
+  - 登入資訊：郵箱：`demo@langbot.app` 密碼：`langbot123456`
+  - 注意：僅展示 WebUI 效果，公開環境，請不要在其中填入您的任何敏感資訊。
+
+### 訊息平台
+
+| 平台 | 狀態 | 備註 |
+| --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ 個人號 | ✅ | QQ 個人號私聊、群聊 |
+| QQ 官方機器人 | ✅ | QQ 官方機器人，支援頻道、私聊、群聊 |
+| 微信 | ✅ |  |
+| 企微對外客服 | ✅ |  |
+| 企微智能機器人 | ✅ |  |
+| 微信公眾號 | ✅ |  |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+
+### 大模型能力
+
+| 模型 | 狀態 | 備註 |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | 可接入任何 OpenAI 介面格式模型 |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [智譜AI](https://open.bigmodel.cn/) | ✅ |  |
+| [勝算雲](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 大模型和 GPU 資源平台 |
+| [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 資源平台 |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 資源平台 |
+| [接口 AI](https://jiekou.ai/) | ✅ | 大模型聚合平台，專注全球大模型接入 |
+| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
+| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
+| [Ollama](https://ollama.com/) | ✅ | 本地大模型運行平台 |
+| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型運行平台 |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型介面聚合平台 |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
+| [阿里雲百煉](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
+| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | 大模型聚合平台, LLMOps 平台 |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | 大模型聚合平台 |
+| [MCP](https://modelcontextprotocol.io/) | ✅ | 支援通過 MCP 協議獲取工具 |
+
+### TTS
+
+| 平台/模型 | 備註 |
+| --- | --- |
+| [FishAudio](https://fish.audio/zh-CN/discovery/) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
+| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
+| [AzureTTS](https://portal.azure.com/) | [外掛](https://github.com/Ingnaryk/LangBot_AzureTTS) |
+
+### 文生圖
+
+| 平台/模型 | 備註 |
+| --- | --- |
+| 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin)
+
+## 😘 社群貢獻
+
+感謝以下[程式碼貢獻者](https://github.com/langbot-app/LangBot/graphs/contributors)和社群裡其他成員對 LangBot 的貢獻：
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a> 

README_VI.md

@@ -0,0 +1,143 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / Tiếng Việt
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+
+<a href="https://langbot.app">Trang chủ</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">Triển khai</a> ｜
+<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Plugin</a> ｜
+<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Gửi Plugin</a>
+
+</div>
+
+</p>
+
+LangBot là một nền tảng phát triển robot nhắn tin tức thời gốc LLM mã nguồn mở, nhằm mục đích cung cấp trải nghiệm phát triển robot IM sẵn sàng sử dụng, với các chức năng ứng dụng LLM như Agent, RAG, MCP, thích ứng với các nền tảng nhắn tin tức thời toàn cầu và cung cấp giao diện API phong phú, hỗ trợ phát triển tùy chỉnh.
+
+## 📦 Bắt đầu
+
+#### Khởi động Nhanh
+
+Sử dụng `uvx` để khởi động bằng một lệnh (cần cài đặt [uv](https://docs.astral.sh/uv/getting-started/installation/)):
+
+```bash
+uvx langbot
+```
+
+Truy cập http://localhost:5300 để bắt đầu sử dụng.
+
+#### Triển khai Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+Truy cập http://localhost:5300 để bắt đầu sử dụng.
+
+Tài liệu chi tiết [Triển khai Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
+
+#### Triển khai Một cú nhấp chuột trên BTPanel
+
+LangBot đã được liệt kê trên BTPanel. Nếu bạn đã cài đặt BTPanel, bạn có thể sử dụng [tài liệu](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) để sử dụng nó.
+
+#### Triển khai Cloud Zeabur
+
+Mẫu Zeabur được đóng góp bởi cộng đồng.
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+
+#### Triển khai Cloud Railway
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### Các Phương pháp Triển khai Khác
+
+Sử dụng trực tiếp phiên bản phát hành để chạy, xem tài liệu [Triển khai Thủ công](https://docs.langbot.app/en/deploy/langbot/manual.html).
+
+#### Triển khai Kubernetes
+
+Tham khảo tài liệu [Triển khai Kubernetes](./docker/README_K8S.md).
+
+## 😎 Cập nhật Mới nhất
+
+Nhấp vào các nút Star và Watch ở góc trên bên phải của kho lưu trữ để nhận các bản cập nhật mới nhất.
+
+![star gif](https://docs.langbot.app/star.gif)
+
+## ✨ Tính năng
+
+- 💬 Chat với LLM / Agent: Hỗ trợ nhiều LLM, thích ứng với chat nhóm và chat riêng tư; Hỗ trợ các cuộc trò chuyện nhiều vòng, gọi công cụ, khả năng đa phương thức và đầu ra streaming. Triển khai RAG (cơ sở kiến thức) tích hợp sẵn và tích hợp sâu với [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) v.v. LLMOps platforms.
+- 🤖 Hỗ trợ Đa nền tảng: Hiện hỗ trợ QQ, QQ Channel, WeCom, WeChat cá nhân, Lark, DingTalk, Discord, Telegram, v.v.
+- 🛠️ Độ ổn định Cao, Tính năng Phong phú: Kiểm soát truy cập gốc, giới hạn tốc độ, lọc từ nhạy cảm, v.v.; Dễ sử dụng, hỗ trợ nhiều phương pháp triển khai. Hỗ trợ nhiều cấu hình pipeline, các bot khác nhau cho các kịch bản khác nhau.
+- 🧩 Mở rộng Plugin, Cộng đồng Hoạt động: Hỗ trợ các cơ chế plugin hướng sự kiện, mở rộng thành phần, v.v.; Tích hợp giao thức [MCP](https://modelcontextprotocol.io/) của Anthropic; Hiện có hàng trăng plugin.
+- 😻 Giao diện Web: Hỗ trợ quản lý các phiên bản LangBot thông qua trình duyệt. Không cần viết tệp cấu hình thủ công.
+
+Để biết thêm thông số kỹ thuật chi tiết, vui lòng tham khảo [tài liệu](https://docs.langbot.app/en/insight/features.html).
+
+Hoặc truy cập môi trường demo: https://demo.langbot.dev/
+  - Thông tin đăng nhập: Email: `demo@langbot.app` Mật khẩu: `langbot123456`
+  - Lưu ý: Chỉ dành cho demo WebUI, vui lòng không nhập bất kỳ thông tin nhạy cảm nào trong môi trường công cộng.
+
+### Nền tảng Nhắn tin
+
+| Nền tảng | Trạng thái | Ghi chú |
+| --- | --- | --- |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ Cá nhân | ✅ |  |
+| QQ API Chính thức | ✅ |  |
+| WeCom | ✅ |  |
+| WeComCS | ✅ |  |
+| WeCom AI Bot | ✅ |  |
+| WeChat Cá nhân | ✅ |  |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+
+### LLMs
+
+| LLM | Trạng thái | Ghi chú |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | Có sẵn cho bất kỳ mô hình định dạng giao diện OpenAI nào |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | Nền tảng tài nguyên LLM và GPU |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Nền tảng tài nguyên LLM và GPU |
+| [接口 AI](https://jiekou.ai/) | ✅ | Nền tảng tổng hợp LLM |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Nền tảng tài nguyên LLM và GPU |
+| [302.AI](https://share.302.ai/SuTG99) | ✅ | Cổng LLM (MaaS) |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
+| [Dify](https://dify.ai) | ✅ | Nền tảng LLMOps |
+| [Ollama](https://ollama.com/) | ✅ | Nền tảng chạy LLM cục bộ |
+| [LMStudio](https://lmstudio.ai/) | ✅ | Nền tảng chạy LLM cục bộ |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | Cổng giao diện LLM (MaaS) |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | Cổng LLM (MaaS) |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Cổng LLM (MaaS), nền tảng LLMOps |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Cổng LLM (MaaS), nền tảng LLMOps |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Cổng LLM (MaaS) |
+| [MCP](https://modelcontextprotocol.io/) | ✅ | Hỗ trợ truy cập công cụ qua giao thức MCP |
+
+## 🤝 Đóng góp Cộng đồng
+
+Cảm ơn các [người đóng góp mã](https://github.com/langbot-app/LangBot/graphs/contributors) sau đây và các thành viên khác trong cộng đồng vì những đóng góp của họ cho LangBot:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

codecov.yml

@@ -0,0 +1,4 @@
+coverage:
+  status:
+    project: off
+    patch: off

docker-compose.yaml

@@ -1,10 +0,0 @@
-version: "3"
-
-services:
-  qchatgpt:
-    image: rockchin/qchatgpt:latest
-    volumes:
-      - ./data:/app/data
-      - ./plugins:/app/plugins
-    restart: on-failure
-    # 根据具体环境配置网络

docker/README_K8S.md

@@ -0,0 +1,629 @@
+# LangBot Kubernetes 部署指南 / Kubernetes Deployment Guide
+
+[简体中文](#简体中文) | [English](#english)
+
+---
+
+## 简体中文
+
+### 概述
+
+本指南提供了在 Kubernetes 集群中部署 LangBot 的完整步骤。Kubernetes 部署配置基于 `docker-compose.yaml`，适用于生产环境的容器化部署。
+
+### 前置要求
+
+- Kubernetes 集群（版本 1.19+）
+- `kubectl` 命令行工具已配置并可访问集群
+- 集群中有可用的存储类（StorageClass）用于持久化存储（可选但推荐）
+- 至少 2 vCPU 和 4GB RAM 的可用资源
+
+### 架构说明
+
+Kubernetes 部署包含以下组件：
+
+1. **langbot**: 主应用服务
+   - 提供 Web UI（端口 5300）
+   - 处理平台 webhook（端口 2280-2290）
+   - 数据持久化卷
+   
+2. **langbot-plugin-runtime**: 插件运行时服务
+   - WebSocket 通信（端口 5400）
+   - 插件数据持久化卷
+
+3. **持久化存储**:
+   - `langbot-data`: LangBot 主数据
+   - `langbot-plugins`: 插件文件
+   - `langbot-plugin-runtime-data`: 插件运行时数据
+
+### 快速开始
+
+#### 1. 下载部署文件
+
+```bash
+# 克隆仓库
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+
+# 或直接下载 kubernetes.yaml
+wget https://raw.githubusercontent.com/langbot-app/LangBot/main/docker/kubernetes.yaml
+```
+
+#### 2. 部署到 Kubernetes
+
+```bash
+# 应用所有配置
+kubectl apply -f kubernetes.yaml
+
+# 检查部署状态
+kubectl get all -n langbot
+
+# 查看 Pod 日志
+kubectl logs -n langbot -l app=langbot -f
+```
+
+#### 3. 访问 LangBot
+
+默认情况下，LangBot 服务使用 ClusterIP 类型，只能在集群内部访问。您可以选择以下方式之一来访问：
+
+**选项 A: 端口转发（推荐用于测试）**
+
+```bash
+kubectl port-forward -n langbot svc/langbot 5300:5300
+```
+
+然后访问 http://localhost:5300
+
+**选项 B: NodePort（适用于开发环境）**
+
+编辑 `kubernetes.yaml`，取消注释 NodePort Service 部分，然后：
+
+```bash
+kubectl apply -f kubernetes.yaml
+# 获取节点 IP
+kubectl get nodes -o wide
+# 访问 http://<NODE_IP>:30300
+```
+
+**选项 C: LoadBalancer（适用于云环境）**
+
+编辑 `kubernetes.yaml`，取消注释 LoadBalancer Service 部分，然后：
+
+```bash
+kubectl apply -f kubernetes.yaml
+# 获取外部 IP
+kubectl get svc -n langbot langbot-loadbalancer
+# 访问 http://<EXTERNAL_IP>
+```
+
+**选项 D: Ingress（推荐用于生产环境）**
+
+确保集群中已安装 Ingress Controller（如 nginx-ingress），然后：
+
+1. 编辑 `kubernetes.yaml` 中的 Ingress 配置
+2. 修改域名为您的实际域名
+3. 应用配置：
+
+```bash
+kubectl apply -f kubernetes.yaml
+# 访问 http://langbot.yourdomain.com
+```
+
+### 配置说明
+
+#### 环境变量
+
+在 `ConfigMap` 中配置环境变量：
+
+```yaml
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: langbot-config
+  namespace: langbot
+data:
+  TZ: "Asia/Shanghai"  # 修改为您的时区
+```
+
+#### 存储配置
+
+默认使用动态存储分配。如果您有特定的 StorageClass，请在 PVC 中指定：
+
+```yaml
+spec:
+  storageClassName: your-storage-class-name
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 10Gi
+```
+
+#### 资源限制
+
+根据您的需求调整资源限制：
+
+```yaml
+resources:
+  requests:
+    memory: "1Gi"
+    cpu: "500m"
+  limits:
+    memory: "4Gi"
+    cpu: "2000m"
+```
+
+### 常用操作
+
+#### 查看日志
+
+```bash
+# 查看 LangBot 主服务日志
+kubectl logs -n langbot -l app=langbot -f
+
+# 查看插件运行时日志
+kubectl logs -n langbot -l app=langbot-plugin-runtime -f
+```
+
+#### 重启服务
+
+```bash
+# 重启 LangBot
+kubectl rollout restart deployment/langbot -n langbot
+
+# 重启插件运行时
+kubectl rollout restart deployment/langbot-plugin-runtime -n langbot
+```
+
+#### 更新镜像
+
+```bash
+# 更新到最新版本
+kubectl set image deployment/langbot -n langbot langbot=rockchin/langbot:latest
+kubectl set image deployment/langbot-plugin-runtime -n langbot langbot-plugin-runtime=rockchin/langbot:latest
+
+# 检查更新状态
+kubectl rollout status deployment/langbot -n langbot
+```
+
+#### 扩容（不推荐）
+
+注意：由于 LangBot 使用 ReadWriteOnce 的持久化存储，不支持多副本扩容。如需高可用，请考虑使用 ReadWriteMany 存储或其他架构方案。
+
+#### 备份数据
+
+```bash
+# 备份 PVC 数据
+kubectl exec -n langbot -it <langbot-pod-name> -- tar czf /tmp/backup.tar.gz /app/data
+kubectl cp langbot/<langbot-pod-name>:/tmp/backup.tar.gz ./backup.tar.gz
+```
+
+### 卸载
+
+```bash
+# 删除所有资源（保留 PVC）
+kubectl delete deployment,service,configmap -n langbot --all
+
+# 删除 PVC（会删除数据）
+kubectl delete pvc -n langbot --all
+
+# 删除命名空间
+kubectl delete namespace langbot
+```
+
+### 故障排查
+
+#### Pod 无法启动
+
+```bash
+# 查看 Pod 状态
+kubectl get pods -n langbot
+
+# 查看详细信息
+kubectl describe pod -n langbot <pod-name>
+
+# 查看事件
+kubectl get events -n langbot --sort-by='.lastTimestamp'
+```
+
+#### 存储问题
+
+```bash
+# 检查 PVC 状态
+kubectl get pvc -n langbot
+
+# 检查 PV
+kubectl get pv
+```
+
+#### 网络访问问题
+
+```bash
+# 检查 Service
+kubectl get svc -n langbot
+
+# 检查端口转发
+kubectl port-forward -n langbot svc/langbot 5300:5300
+```
+
+### 生产环境建议
+
+1. **使用特定版本标签**：避免使用 `latest` 标签，使用具体版本号如 `rockchin/langbot:v1.0.0`
+2. **配置资源限制**：根据实际负载调整 CPU 和内存限制
+3. **使用 Ingress + TLS**：配置 HTTPS 访问和证书管理
+4. **配置监控和告警**：集成 Prometheus、Grafana 等监控工具
+5. **定期备份**：配置自动备份策略保护数据
+6. **使用专用 StorageClass**：为生产环境配置高性能存储
+7. **配置亲和性规则**：确保 Pod 调度到合适的节点
+
+### 高级配置
+
+#### 使用 Secrets 管理敏感信息
+
+如果需要配置 API 密钥等敏感信息：
+
+```yaml
+apiVersion: v1
+kind: Secret
+metadata:
+  name: langbot-secrets
+  namespace: langbot
+type: Opaque
+data:
+  api_key: <base64-encoded-value>
+```
+
+然后在 Deployment 中引用：
+
+```yaml
+env:
+- name: API_KEY
+  valueFrom:
+    secretKeyRef:
+      name: langbot-secrets
+      key: api_key
+```
+
+#### 配置水平自动扩缩容（HPA）
+
+注意：需要确保使用 ReadWriteMany 存储类型
+
+```yaml
+apiVersion: autoscaling/v2
+kind: HorizontalPodAutoscaler
+metadata:
+  name: langbot-hpa
+  namespace: langbot
+spec:
+  scaleTargetRef:
+    apiVersion: apps/v1
+    kind: Deployment
+    name: langbot
+  minReplicas: 1
+  maxReplicas: 3
+  metrics:
+  - type: Resource
+    resource:
+      name: cpu
+      target:
+        type: Utilization
+        averageUtilization: 70
+```
+
+### 参考资源
+
+- [LangBot 官方文档](https://docs.langbot.app)
+- [Docker 部署文档](https://docs.langbot.app/zh/deploy/langbot/docker.html)
+- [Kubernetes 官方文档](https://kubernetes.io/docs/)
+
+---
+
+## English
+
+### Overview
+
+This guide provides complete steps for deploying LangBot in a Kubernetes cluster. The Kubernetes deployment configuration is based on `docker-compose.yaml` and is suitable for production containerized deployments.
+
+### Prerequisites
+
+- Kubernetes cluster (version 1.19+)
+- `kubectl` command-line tool configured with cluster access
+- Available StorageClass in the cluster for persistent storage (optional but recommended)
+- At least 2 vCPU and 4GB RAM of available resources
+
+### Architecture
+
+The Kubernetes deployment includes the following components:
+
+1. **langbot**: Main application service
+   - Provides Web UI (port 5300)
+   - Handles platform webhooks (ports 2280-2290)
+   - Data persistence volume
+   
+2. **langbot-plugin-runtime**: Plugin runtime service
+   - WebSocket communication (port 5400)
+   - Plugin data persistence volume
+
+3. **Persistent Storage**:
+   - `langbot-data`: LangBot main data
+   - `langbot-plugins`: Plugin files
+   - `langbot-plugin-runtime-data`: Plugin runtime data
+
+### Quick Start
+
+#### 1. Download Deployment Files
+
+```bash
+# Clone repository
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+
+# Or download kubernetes.yaml directly
+wget https://raw.githubusercontent.com/langbot-app/LangBot/main/docker/kubernetes.yaml
+```
+
+#### 2. Deploy to Kubernetes
+
+```bash
+# Apply all configurations
+kubectl apply -f kubernetes.yaml
+
+# Check deployment status
+kubectl get all -n langbot
+
+# View Pod logs
+kubectl logs -n langbot -l app=langbot -f
+```
+
+#### 3. Access LangBot
+
+By default, LangBot service uses ClusterIP type, accessible only within the cluster. Choose one of the following methods to access:
+
+**Option A: Port Forwarding (Recommended for testing)**
+
+```bash
+kubectl port-forward -n langbot svc/langbot 5300:5300
+```
+
+Then visit http://localhost:5300
+
+**Option B: NodePort (Suitable for development)**
+
+Edit `kubernetes.yaml`, uncomment the NodePort Service section, then:
+
+```bash
+kubectl apply -f kubernetes.yaml
+# Get node IP
+kubectl get nodes -o wide
+# Visit http://<NODE_IP>:30300
+```
+
+**Option C: LoadBalancer (Suitable for cloud environments)**
+
+Edit `kubernetes.yaml`, uncomment the LoadBalancer Service section, then:
+
+```bash
+kubectl apply -f kubernetes.yaml
+# Get external IP
+kubectl get svc -n langbot langbot-loadbalancer
+# Visit http://<EXTERNAL_IP>
+```
+
+**Option D: Ingress (Recommended for production)**
+
+Ensure an Ingress Controller (e.g., nginx-ingress) is installed in the cluster, then:
+
+1. Edit the Ingress configuration in `kubernetes.yaml`
+2. Change the domain to your actual domain
+3. Apply configuration:
+
+```bash
+kubectl apply -f kubernetes.yaml
+# Visit http://langbot.yourdomain.com
+```
+
+### Configuration
+
+#### Environment Variables
+
+Configure environment variables in ConfigMap:
+
+```yaml
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: langbot-config
+  namespace: langbot
+data:
+  TZ: "Asia/Shanghai"  # Change to your timezone
+```
+
+#### Storage Configuration
+
+Uses dynamic storage provisioning by default. If you have a specific StorageClass, specify it in PVC:
+
+```yaml
+spec:
+  storageClassName: your-storage-class-name
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 10Gi
+```
+
+#### Resource Limits
+
+Adjust resource limits based on your needs:
+
+```yaml
+resources:
+  requests:
+    memory: "1Gi"
+    cpu: "500m"
+  limits:
+    memory: "4Gi"
+    cpu: "2000m"
+```
+
+### Common Operations
+
+#### View Logs
+
+```bash
+# View LangBot main service logs
+kubectl logs -n langbot -l app=langbot -f
+
+# View plugin runtime logs
+kubectl logs -n langbot -l app=langbot-plugin-runtime -f
+```
+
+#### Restart Services
+
+```bash
+# Restart LangBot
+kubectl rollout restart deployment/langbot -n langbot
+
+# Restart plugin runtime
+kubectl rollout restart deployment/langbot-plugin-runtime -n langbot
+```
+
+#### Update Images
+
+```bash
+# Update to latest version
+kubectl set image deployment/langbot -n langbot langbot=rockchin/langbot:latest
+kubectl set image deployment/langbot-plugin-runtime -n langbot langbot-plugin-runtime=rockchin/langbot:latest
+
+# Check update status
+kubectl rollout status deployment/langbot -n langbot
+```
+
+#### Scaling (Not Recommended)
+
+Note: Due to LangBot using ReadWriteOnce persistent storage, multi-replica scaling is not supported. For high availability, consider using ReadWriteMany storage or alternative architectures.
+
+#### Backup Data
+
+```bash
+# Backup PVC data
+kubectl exec -n langbot -it <langbot-pod-name> -- tar czf /tmp/backup.tar.gz /app/data
+kubectl cp langbot/<langbot-pod-name>:/tmp/backup.tar.gz ./backup.tar.gz
+```
+
+### Uninstall
+
+```bash
+# Delete all resources (keep PVCs)
+kubectl delete deployment,service,configmap -n langbot --all
+
+# Delete PVCs (will delete data)
+kubectl delete pvc -n langbot --all
+
+# Delete namespace
+kubectl delete namespace langbot
+```
+
+### Troubleshooting
+
+#### Pods Not Starting
+
+```bash
+# Check Pod status
+kubectl get pods -n langbot
+
+# View detailed information
+kubectl describe pod -n langbot <pod-name>
+
+# View events
+kubectl get events -n langbot --sort-by='.lastTimestamp'
+```
+
+#### Storage Issues
+
+```bash
+# Check PVC status
+kubectl get pvc -n langbot
+
+# Check PV
+kubectl get pv
+```
+
+#### Network Access Issues
+
+```bash
+# Check Service
+kubectl get svc -n langbot
+
+# Test port forwarding
+kubectl port-forward -n langbot svc/langbot 5300:5300
+```
+
+### Production Recommendations
+
+1. **Use specific version tags**: Avoid using `latest` tag, use specific version like `rockchin/langbot:v1.0.0`
+2. **Configure resource limits**: Adjust CPU and memory limits based on actual load
+3. **Use Ingress + TLS**: Configure HTTPS access and certificate management
+4. **Configure monitoring and alerts**: Integrate monitoring tools like Prometheus, Grafana
+5. **Regular backups**: Configure automated backup strategy to protect data
+6. **Use dedicated StorageClass**: Configure high-performance storage for production
+7. **Configure affinity rules**: Ensure Pods are scheduled to appropriate nodes
+
+### Advanced Configuration
+
+#### Using Secrets for Sensitive Information
+
+If you need to configure sensitive information like API keys:
+
+```yaml
+apiVersion: v1
+kind: Secret
+metadata:
+  name: langbot-secrets
+  namespace: langbot
+type: Opaque
+data:
+  api_key: <base64-encoded-value>
+```
+
+Then reference in Deployment:
+
+```yaml
+env:
+- name: API_KEY
+  valueFrom:
+    secretKeyRef:
+      name: langbot-secrets
+      key: api_key
+```
+
+#### Configure Horizontal Pod Autoscaling (HPA)
+
+Note: Requires ReadWriteMany storage type
+
+```yaml
+apiVersion: autoscaling/v2
+kind: HorizontalPodAutoscaler
+metadata:
+  name: langbot-hpa
+  namespace: langbot
+spec:
+  scaleTargetRef:
+    apiVersion: apps/v1
+    kind: Deployment
+    name: langbot
+  minReplicas: 1
+  maxReplicas: 3
+  metrics:
+  - type: Resource
+    resource:
+      name: cpu
+      target:
+        type: Utilization
+        averageUtilization: 70
+```
+
+### References
+
+- [LangBot Official Documentation](https://docs.langbot.app)
+- [Docker Deployment Guide](https://docs.langbot.app/zh/deploy/langbot/docker.html)
+- [Kubernetes Official Documentation](https://kubernetes.io/docs/)

docker/deploy-k8s-test.sh

@@ -0,0 +1,74 @@
+#!/bin/bash
+# Quick test script for LangBot Kubernetes deployment
+# This script helps you test the Kubernetes deployment locally
+
+set -e
+
+echo "🚀 LangBot Kubernetes Deployment Test Script"
+echo "=============================================="
+echo ""
+
+# Check for kubectl
+if ! command -v kubectl &> /dev/null; then
+    echo "❌ kubectl is not installed. Please install kubectl first."
+    echo "Visit: https://kubernetes.io/docs/tasks/tools/"
+    exit 1
+fi
+
+echo "✓ kubectl is installed"
+
+# Check if kubectl can connect to a cluster
+if ! kubectl cluster-info &> /dev/null; then
+    echo ""
+    echo "⚠️  No Kubernetes cluster found."
+    echo ""
+    echo "To test locally, you can use:"
+    echo "  - kind: https://kind.sigs.k8s.io/"
+    echo "  - minikube: https://minikube.sigs.k8s.io/"
+    echo "  - k3s: https://k3s.io/"
+    echo ""
+    echo "Example with kind:"
+    echo "  kind create cluster --name langbot-test"
+    echo ""
+    exit 1
+fi
+
+echo "✓ Connected to Kubernetes cluster"
+kubectl cluster-info
+echo ""
+
+# Ask user to confirm
+read -p "Do you want to deploy LangBot to this cluster? (y/N) " -n 1 -r
+echo
+if [[ ! $REPLY =~ ^[Yy]$ ]]; then
+    echo "Deployment cancelled."
+    exit 0
+fi
+
+echo ""
+echo "📦 Deploying LangBot..."
+kubectl apply -f kubernetes.yaml
+
+echo ""
+echo "⏳ Waiting for pods to be ready..."
+kubectl wait --for=condition=ready pod -l app=langbot -n langbot --timeout=300s
+kubectl wait --for=condition=ready pod -l app=langbot-plugin-runtime -n langbot --timeout=300s
+
+echo ""
+echo "✅ Deployment complete!"
+echo ""
+echo "📊 Deployment status:"
+kubectl get all -n langbot
+
+echo ""
+echo "🌐 To access LangBot Web UI, run:"
+echo "   kubectl port-forward -n langbot svc/langbot 5300:5300"
+echo ""
+echo "Then visit: http://localhost:5300"
+echo ""
+echo "📝 To view logs:"
+echo "   kubectl logs -n langbot -l app=langbot -f"
+echo ""
+echo "🗑️  To uninstall:"
+echo "   kubectl delete namespace langbot"
+echo ""

docker/docker-compose.yaml

@@ -0,0 +1,40 @@
+# Docker Compose configuration for LangBot
+# For Kubernetes deployment, see kubernetes.yaml and README_K8S.md
+version: "3"
+
+services:
+
+  langbot_plugin_runtime:
+    image: rockchin/langbot:latest
+    container_name: langbot_plugin_runtime
+    platform: linux/amd64 # For Apple Silicon compatibility
+    volumes:
+      - ./data/plugins:/app/data/plugins
+    ports:
+      - 5401:5401
+    restart: on-failure
+    environment:
+      - TZ=Asia/Shanghai
+    command: ["uv", "run", "-m", "langbot_plugin.cli.__init__", "rt"]
+    networks:
+      - langbot_network
+
+  langbot:
+    image: rockchin/langbot:latest
+    container_name: langbot
+    platform: linux/amd64 # For Apple Silicon compatibility
+    volumes:
+      - ./data:/app/data
+      - ./plugins:/app/plugins
+    restart: on-failure
+    environment:
+      - TZ=Asia/Shanghai
+    ports:
+      - 5300:5300  # For web ui
+      - 2280-2290:2280-2290  # For platform webhook
+    networks:
+      - langbot_network
+
+networks:
+  langbot_network:
+    driver: bridge

docker/kubernetes.yaml

@@ -0,0 +1,400 @@
+# Kubernetes Deployment for LangBot
+# This file provides Kubernetes deployment manifests for LangBot based on docker-compose.yaml
+# 
+# Usage:
+#   kubectl apply -f kubernetes.yaml
+#
+# Prerequisites:
+#   - A Kubernetes cluster (1.19+)
+#   - kubectl configured to communicate with your cluster
+#   - (Optional) A StorageClass for dynamic volume provisioning
+#
+# Components:
+#   - Namespace: langbot
+#   - PersistentVolumeClaims for data persistence
+#   - Deployments for langbot and langbot_plugin_runtime
+#   - Services for network access
+#   - ConfigMap for timezone configuration
+
+---
+# Namespace
+apiVersion: v1
+kind: Namespace
+metadata:
+  name: langbot
+  labels:
+    app: langbot
+
+---
+# PersistentVolumeClaim for LangBot data
+apiVersion: v1
+kind: PersistentVolumeClaim
+metadata:
+  name: langbot-data
+  namespace: langbot
+spec:
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 10Gi
+  # Uncomment and modify if you have a specific StorageClass
+  # storageClassName: your-storage-class
+
+---
+# PersistentVolumeClaim for LangBot plugins
+apiVersion: v1
+kind: PersistentVolumeClaim
+metadata:
+  name: langbot-plugins
+  namespace: langbot
+spec:
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 5Gi
+  # Uncomment and modify if you have a specific StorageClass
+  # storageClassName: your-storage-class
+
+---
+# PersistentVolumeClaim for Plugin Runtime data
+apiVersion: v1
+kind: PersistentVolumeClaim
+metadata:
+  name: langbot-plugin-runtime-data
+  namespace: langbot
+spec:
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 5Gi
+  # Uncomment and modify if you have a specific StorageClass
+  # storageClassName: your-storage-class
+
+---
+# ConfigMap for environment configuration
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: langbot-config
+  namespace: langbot
+data:
+  TZ: "Asia/Shanghai"
+  PLUGIN__RUNTIME_WS_URL: "ws://langbot-plugin-runtime:5400/control/ws"
+
+---
+# Deployment for LangBot Plugin Runtime
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: langbot-plugin-runtime
+  namespace: langbot
+  labels:
+    app: langbot-plugin-runtime
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: langbot-plugin-runtime
+  template:
+    metadata:
+      labels:
+        app: langbot-plugin-runtime
+    spec:
+      containers:
+      - name: langbot-plugin-runtime
+        image: rockchin/langbot:latest
+        imagePullPolicy: Always
+        command: ["uv", "run", "-m", "langbot_plugin.cli.__init__", "rt"]
+        ports:
+        - containerPort: 5400
+          name: runtime
+          protocol: TCP
+        env:
+        - name: TZ
+          valueFrom:
+            configMapKeyRef:
+              name: langbot-config
+              key: TZ
+        volumeMounts:
+        - name: plugin-data
+          mountPath: /app/data/plugins
+        resources:
+          requests:
+            memory: "512Mi"
+            cpu: "250m"
+          limits:
+            memory: "2Gi"
+            cpu: "1000m"
+        # Liveness probe to restart container if it becomes unresponsive
+        livenessProbe:
+          tcpSocket:
+            port: 5400
+          initialDelaySeconds: 30
+          periodSeconds: 10
+          timeoutSeconds: 5
+          failureThreshold: 3
+        # Readiness probe to know when container is ready to accept traffic
+        readinessProbe:
+          tcpSocket:
+            port: 5400
+          initialDelaySeconds: 10
+          periodSeconds: 5
+          timeoutSeconds: 3
+          failureThreshold: 3
+      volumes:
+      - name: plugin-data
+        persistentVolumeClaim:
+          claimName: langbot-plugin-runtime-data
+      restartPolicy: Always
+
+---
+# Service for LangBot Plugin Runtime
+apiVersion: v1
+kind: Service
+metadata:
+  name: langbot-plugin-runtime
+  namespace: langbot
+  labels:
+    app: langbot-plugin-runtime
+spec:
+  type: ClusterIP
+  selector:
+    app: langbot-plugin-runtime
+  ports:
+  - port: 5400
+    targetPort: 5400
+    protocol: TCP
+    name: runtime
+
+---
+# Deployment for LangBot
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: langbot
+  namespace: langbot
+  labels:
+    app: langbot
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: langbot
+  template:
+    metadata:
+      labels:
+        app: langbot
+    spec:
+      containers:
+      - name: langbot
+        image: rockchin/langbot:latest
+        imagePullPolicy: Always
+        ports:
+        - containerPort: 5300
+          name: web
+          protocol: TCP
+        - containerPort: 2280
+          name: webhook-start
+          protocol: TCP
+        # Note: Kubernetes doesn't support port ranges directly in container ports
+        # The webhook ports 2280-2290 are available, but we only expose the start of the range
+        # If you need all ports exposed, consider using a Service with multiple port definitions
+        env:
+        - name: TZ
+          valueFrom:
+            configMapKeyRef:
+              name: langbot-config
+              key: TZ
+        - name: PLUGIN__RUNTIME_WS_URL
+          valueFrom:
+            configMapKeyRef:
+              name: langbot-config
+              key: PLUGIN__RUNTIME_WS_URL
+        volumeMounts:
+        - name: data
+          mountPath: /app/data
+        - name: plugins
+          mountPath: /app/plugins
+        resources:
+          requests:
+            memory: "1Gi"
+            cpu: "500m"
+          limits:
+            memory: "4Gi"
+            cpu: "2000m"
+        # Liveness probe to restart container if it becomes unresponsive
+        livenessProbe:
+          httpGet:
+            path: /
+            port: 5300
+          initialDelaySeconds: 60
+          periodSeconds: 10
+          timeoutSeconds: 5
+          failureThreshold: 3
+        # Readiness probe to know when container is ready to accept traffic
+        readinessProbe:
+          httpGet:
+            path: /
+            port: 5300
+          initialDelaySeconds: 30
+          periodSeconds: 5
+          timeoutSeconds: 3
+          failureThreshold: 3
+      volumes:
+      - name: data
+        persistentVolumeClaim:
+          claimName: langbot-data
+      - name: plugins
+        persistentVolumeClaim:
+          claimName: langbot-plugins
+      restartPolicy: Always
+
+---
+# Service for LangBot (ClusterIP for internal access)
+apiVersion: v1
+kind: Service
+metadata:
+  name: langbot
+  namespace: langbot
+  labels:
+    app: langbot
+spec:
+  type: ClusterIP
+  selector:
+    app: langbot
+  ports:
+  - port: 5300
+    targetPort: 5300
+    protocol: TCP
+    name: web
+  - port: 2280
+    targetPort: 2280
+    protocol: TCP
+    name: webhook-2280
+  - port: 2281
+    targetPort: 2281
+    protocol: TCP
+    name: webhook-2281
+  - port: 2282
+    targetPort: 2282
+    protocol: TCP
+    name: webhook-2282
+  - port: 2283
+    targetPort: 2283
+    protocol: TCP
+    name: webhook-2283
+  - port: 2284
+    targetPort: 2284
+    protocol: TCP
+    name: webhook-2284
+  - port: 2285
+    targetPort: 2285
+    protocol: TCP
+    name: webhook-2285
+  - port: 2286
+    targetPort: 2286
+    protocol: TCP
+    name: webhook-2286
+  - port: 2287
+    targetPort: 2287
+    protocol: TCP
+    name: webhook-2287
+  - port: 2288
+    targetPort: 2288
+    protocol: TCP
+    name: webhook-2288
+  - port: 2289
+    targetPort: 2289
+    protocol: TCP
+    name: webhook-2289
+  - port: 2290
+    targetPort: 2290
+    protocol: TCP
+    name: webhook-2290
+
+---
+# Ingress for external access (Optional - requires Ingress Controller)
+# Uncomment and modify the following section if you want to expose LangBot via Ingress
+# apiVersion: networking.k8s.io/v1
+# kind: Ingress
+# metadata:
+#   name: langbot-ingress
+#   namespace: langbot
+#   annotations:
+#     # Uncomment and modify based on your ingress controller
+#     # nginx.ingress.kubernetes.io/rewrite-target: /
+#     # cert-manager.io/cluster-issuer: letsencrypt-prod
+# spec:
+#   ingressClassName: nginx  # Change based on your ingress controller
+#   rules:
+#   - host: langbot.yourdomain.com  # Change to your domain
+#     http:
+#       paths:
+#       - path: /
+#         pathType: Prefix
+#         backend:
+#           service:
+#             name: langbot
+#             port:
+#               number: 5300
+#   # Uncomment for TLS/HTTPS
+#   # tls:
+#   # - hosts:
+#   #   - langbot.yourdomain.com
+#   #   secretName: langbot-tls
+
+---
+# Service for LangBot with LoadBalancer (Alternative to Ingress)
+# Uncomment the following if you want to expose LangBot directly via LoadBalancer
+# This is useful in cloud environments (AWS, GCP, Azure, etc.)
+# apiVersion: v1
+# kind: Service
+# metadata:
+#   name: langbot-loadbalancer
+#   namespace: langbot
+#   labels:
+#     app: langbot
+# spec:
+#   type: LoadBalancer
+#   selector:
+#     app: langbot
+#   ports:
+#   - port: 80
+#     targetPort: 5300
+#     protocol: TCP
+#     name: web
+#   - port: 2280
+#     targetPort: 2280
+#     protocol: TCP
+#     name: webhook-start
+#   # Add more webhook ports as needed
+
+---
+# Service for LangBot with NodePort (Alternative for exposing service)
+# Uncomment if you want to expose LangBot via NodePort
+# This is useful for testing or when LoadBalancer is not available
+# apiVersion: v1
+# kind: Service
+# metadata:
+#   name: langbot-nodeport
+#   namespace: langbot
+#   labels:
+#     app: langbot
+# spec:
+#   type: NodePort
+#   selector:
+#     app: langbot
+#   ports:
+#   - port: 5300
+#     targetPort: 5300
+#     nodePort: 30300  # Must be in range 30000-32767
+#     protocol: TCP
+#     name: web
+#   - port: 2280
+#     targetPort: 2280
+#     nodePort: 30280  # Must be in range 30000-32767
+#     protocol: TCP
+#     name: webhook

docs/API_KEY_AUTH.md

@@ -0,0 +1,291 @@
+# API Key Authentication
+
+LangBot now supports API key authentication for external systems to access its HTTP service API.
+
+## Managing API Keys
+
+API keys can be managed through the web interface:
+
+1. Log in to the LangBot web interface
+2. Click the "API Keys" button at the bottom of the sidebar
+3. Create, view, copy, or delete API keys as needed
+
+## Using API Keys
+
+### Authentication Headers
+
+Include your API key in the request header using one of these methods:
+
+**Method 1: X-API-Key header (Recommended)**
+```
+X-API-Key: lbk_your_api_key_here
+```
+
+**Method 2: Authorization Bearer token**
+```
+Authorization: Bearer lbk_your_api_key_here
+```
+
+## Available APIs
+
+All existing LangBot APIs now support **both user token and API key authentication**. This means you can use API keys to access:
+
+- **Model Management** - `/api/v1/provider/models/llm` and `/api/v1/provider/models/embedding`
+- **Bot Management** - `/api/v1/platform/bots`
+- **Pipeline Management** - `/api/v1/pipelines`
+- **Knowledge Base** - `/api/v1/knowledge/*`
+- **MCP Servers** - `/api/v1/mcp/servers`
+- And more...
+
+### Authentication Methods
+
+Each endpoint accepts **either**:
+1. **User Token** (via `Authorization: Bearer <user_jwt_token>`) - for web UI and authenticated users
+2. **API Key** (via `X-API-Key` or `Authorization: Bearer <api_key>`) - for external services
+
+## Example: Model Management
+
+### List All LLM Models
+
+```http
+GET /api/v1/provider/models/llm
+X-API-Key: lbk_your_api_key_here
+```
+
+Response:
+```json
+{
+  "code": 0,
+  "msg": "ok",
+  "data": {
+    "models": [
+      {
+        "uuid": "model-uuid",
+        "name": "GPT-4",
+        "description": "OpenAI GPT-4 model",
+        "requester": "openai-chat-completions",
+        "requester_config": {...},
+        "abilities": ["chat", "vision"],
+        "created_at": "2024-01-01T00:00:00",
+        "updated_at": "2024-01-01T00:00:00"
+      }
+    ]
+  }
+}
+```
+
+### Create a New LLM Model
+
+```http
+POST /api/v1/provider/models/llm
+X-API-Key: lbk_your_api_key_here
+Content-Type: application/json
+
+{
+  "name": "My Custom Model",
+  "description": "Description of the model",
+  "requester": "openai-chat-completions",
+  "requester_config": {
+    "model": "gpt-4",
+    "args": {}
+  },
+  "api_keys": [
+    {
+      "name": "default",
+      "keys": ["sk-..."]
+    }
+  ],
+  "abilities": ["chat"],
+  "extra_args": {}
+}
+```
+
+### Update an LLM Model
+
+```http
+PUT /api/v1/provider/models/llm/{model_uuid}
+X-API-Key: lbk_your_api_key_here
+Content-Type: application/json
+
+{
+  "name": "Updated Model Name",
+  "description": "Updated description",
+  ...
+}
+```
+
+### Delete an LLM Model
+
+```http
+DELETE /api/v1/provider/models/llm/{model_uuid}
+X-API-Key: lbk_your_api_key_here
+```
+
+## Example: Bot Management
+
+### List All Bots
+
+```http
+GET /api/v1/platform/bots
+X-API-Key: lbk_your_api_key_here
+```
+
+### Create a New Bot
+
+```http
+POST /api/v1/platform/bots
+X-API-Key: lbk_your_api_key_here
+Content-Type: application/json
+
+{
+  "name": "My Bot",
+  "adapter": "telegram",
+  "config": {...}
+}
+```
+
+## Example: Pipeline Management
+
+### List All Pipelines
+
+```http
+GET /api/v1/pipelines
+X-API-Key: lbk_your_api_key_here
+```
+
+### Create a New Pipeline
+
+```http
+POST /api/v1/pipelines
+X-API-Key: lbk_your_api_key_here
+Content-Type: application/json
+
+{
+  "name": "My Pipeline",
+  "config": {...}
+}
+```
+
+## Error Responses
+
+### 401 Unauthorized
+
+```json
+{
+  "code": -1,
+  "msg": "No valid authentication provided (user token or API key required)"
+}
+```
+
+or
+
+```json
+{
+  "code": -1,
+  "msg": "Invalid API key"
+}
+```
+
+### 404 Not Found
+
+```json
+{
+  "code": -1,
+  "msg": "Resource not found"
+}
+```
+
+### 500 Internal Server Error
+
+```json
+{
+  "code": -2,
+  "msg": "Error message details"
+}
+```
+
+## Security Best Practices
+
+1. **Keep API keys secure**: Store them securely and never commit them to version control
+2. **Use HTTPS**: Always use HTTPS in production to encrypt API key transmission
+3. **Rotate keys regularly**: Create new API keys periodically and delete old ones
+4. **Use descriptive names**: Give your API keys meaningful names to track their usage
+5. **Delete unused keys**: Remove API keys that are no longer needed
+6. **Use X-API-Key header**: Prefer using the `X-API-Key` header for clarity
+
+## Example: Python Client
+
+```python
+import requests
+
+API_KEY = "lbk_your_api_key_here"
+BASE_URL = "http://your-langbot-server:5300"
+
+headers = {
+    "X-API-Key": API_KEY,
+    "Content-Type": "application/json"
+}
+
+# List all models
+response = requests.get(f"{BASE_URL}/api/v1/provider/models/llm", headers=headers)
+models = response.json()["data"]["models"]
+
+print(f"Found {len(models)} models")
+for model in models:
+    print(f"- {model['name']}: {model['description']}")
+
+# Create a new bot
+bot_data = {
+    "name": "My Telegram Bot",
+    "adapter": "telegram",
+    "config": {
+        "token": "your-telegram-token"
+    }
+}
+
+response = requests.post(
+    f"{BASE_URL}/api/v1/platform/bots",
+    headers=headers,
+    json=bot_data
+)
+
+if response.status_code == 200:
+    bot_uuid = response.json()["data"]["uuid"]
+    print(f"Bot created with UUID: {bot_uuid}")
+```
+
+## Example: cURL
+
+```bash
+# List all models
+curl -X GET \
+  -H "X-API-Key: lbk_your_api_key_here" \
+  http://your-langbot-server:5300/api/v1/provider/models/llm
+
+# Create a new pipeline
+curl -X POST \
+  -H "X-API-Key: lbk_your_api_key_here" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "name": "My Pipeline",
+    "config": {...}
+  }' \
+  http://your-langbot-server:5300/api/v1/pipelines
+
+# Get bot logs
+curl -X POST \
+  -H "X-API-Key: lbk_your_api_key_here" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "from_index": -1,
+    "max_count": 10
+  }' \
+  http://your-langbot-server:5300/api/v1/platform/bots/{bot_uuid}/logs
+```
+
+## Notes
+
+- The same endpoints work for both the web UI (with user tokens) and external services (with API keys)
+- No need to learn different API paths - use the existing API documentation with API key authentication
+- All endpoints that previously required user authentication now also accept API keys
+

docs/PYPI_INSTALLATION.md

@@ -0,0 +1,117 @@
+# LangBot PyPI Package Installation
+
+## Quick Start with uvx
+
+The easiest way to run LangBot is using `uvx` (recommended for quick testing):
+
+```bash
+uvx langbot
+```
+
+This will automatically download and run the latest version of LangBot.
+
+## Install with pip/uv
+
+You can also install LangBot as a regular Python package:
+
+```bash
+# Using pip
+pip install langbot
+
+# Using uv
+uv pip install langbot
+```
+
+Then run it:
+
+```bash
+langbot
+```
+
+Or using Python module syntax:
+
+```bash
+python -m langbot
+```
+
+## Installation with Frontend
+
+When published to PyPI, the LangBot package includes the pre-built frontend files. You don't need to build the frontend separately.
+
+## Data Directory
+
+When running LangBot as a package, it will create a `data/` directory in your current working directory to store configuration, logs, and other runtime data. You can run LangBot from any directory, and it will set up its data directory there.
+
+## Command Line Options
+
+LangBot supports the following command line options:
+
+- `--standalone-runtime`: Use standalone plugin runtime
+- `--debug`: Enable debug mode
+
+Example:
+
+```bash
+langbot --debug
+```
+
+## Comparison with Other Installation Methods
+
+### PyPI Package (uvx/pip)
+- **Pros**: Easy to install and update, no need to clone repository or build frontend
+- **Cons**: Less flexible for development/customization
+
+### Docker
+- **Pros**: Isolated environment, easy deployment
+- **Cons**: Requires Docker
+
+### Manual Source Installation
+- **Pros**: Full control, easy to customize and develop
+- **Cons**: Requires building frontend, managing dependencies manually
+
+## Development
+
+If you want to contribute or customize LangBot, you should still use the manual installation method by cloning the repository:
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot
+uv sync
+cd web
+npm install
+npm run build
+cd ..
+uv run main.py
+```
+
+## Updating
+
+To update to the latest version:
+
+```bash
+# With pip
+pip install --upgrade langbot
+
+# With uv
+uv pip install --upgrade langbot
+
+# With uvx (automatically uses latest)
+uvx langbot
+```
+
+## System Requirements
+
+- Python 3.10.1 or higher
+- Operating System: Linux, macOS, or Windows
+
+## Differences from Source Installation
+
+When running LangBot from the PyPI package (via uvx or pip), there are a few behavioral differences compared to running from source:
+
+1. **Version Check**: The package version does not prompt for user input when the Python version is incompatible. It simply prints an error message and exits. This makes it compatible with non-interactive environments like containers and CI/CD.
+
+2. **Working Directory**: The package version does not require being run from the LangBot project root. You can run `langbot` from any directory, and it will create a `data/` directory in your current working directory.
+
+3. **Frontend Files**: The frontend is pre-built and included in the package, so you don't need to run `npm build` separately.
+
+These differences are intentional to make the package more user-friendly and suitable for various deployment scenarios.

docs/TESTING_SUMMARY.md

@@ -0,0 +1,180 @@
+# Pipeline Unit Tests - Implementation Summary
+
+## Overview
+
+Comprehensive unit test suite for LangBot's pipeline stages, providing extensible test infrastructure and automated CI/CD integration.
+
+## What Was Implemented
+
+### 1. Test Infrastructure (`tests/pipeline/conftest.py`)
+- **MockApplication factory**: Provides complete mock of Application object with all dependencies
+- **Reusable fixtures**: Mock objects for Session, Conversation, Model, Adapter, Query
+- **Helper functions**: Utilities for creating results and assertions
+- **Lazy import support**: Handles circular import issues via `importlib.import_module()`
+
+### 2. Test Coverage
+
+#### Pipeline Stages Tested:
+- ✅ **test_bansess.py** (6 tests) - Access control whitelist/blacklist logic
+- ✅ **test_ratelimit.py** (3 tests) - Rate limiting acquire/release logic
+- ✅ **test_preproc.py** (3 tests) - Message preprocessing and variable setup
+- ✅ **test_respback.py** (2 tests) - Response sending with/without quotes
+- ✅ **test_resprule.py** (3 tests) - Group message rule matching
+- ✅ **test_pipelinemgr.py** (5 tests) - Pipeline manager CRUD operations
+
+#### Additional Tests:
+- ✅ **test_simple.py** (5 tests) - Test infrastructure validation
+- ✅ **test_stages_integration.py** - Integration tests with full imports
+
+**Total: 27 test cases**
+
+### 3. CI/CD Integration
+
+**GitHub Actions Workflow** (`.github/workflows/pipeline-tests.yml`):
+- Triggers on: PR open, ready for review, push to PR/master/develop
+- Multi-version testing: Python 3.10, 3.11, 3.12
+- Coverage reporting: Integrated with Codecov
+- Auto-runs via `run_tests.sh` script
+
+### 4. Configuration Files
+
+- **pytest.ini** - Pytest configuration with asyncio support
+- **run_tests.sh** - Automated test runner with coverage
+- **tests/README.md** - Comprehensive testing documentation
+
+## Technical Challenges & Solutions
+
+### Challenge 1: Circular Import Dependencies
+
+**Problem**: Direct imports of pipeline modules caused circular dependency errors:
+```
+pkg.pipeline.stage → pkg.core.app → pkg.pipeline.pipelinemgr → pkg.pipeline.resprule
+```
+
+**Solution**: Implemented lazy imports using `importlib.import_module()`:
+```python
+def get_bansess_module():
+    return import_module('pkg.pipeline.bansess.bansess')
+
+# Use in tests
+bansess = get_bansess_module()
+stage = bansess.BanSessionCheckStage(mock_app)
+```
+
+### Challenge 2: Pydantic Validation Errors
+
+**Problem**: Some stages use Pydantic models that validate `new_query` parameter.
+
+**Solution**: Tests use lazy imports to load actual modules, which handle validation correctly. Mock objects work for most cases, but some integration tests needed real instances.
+
+### Challenge 3: Mock Configuration
+
+**Problem**: Lists don't allow `.copy` attribute assignment in Python.
+
+**Solution**: Use Mock objects instead of bare lists:
+```python
+mock_messages = Mock()
+mock_messages.copy = Mock(return_value=[])
+conversation.messages = mock_messages
+```
+
+## Test Execution
+
+### Current Status
+
+Running `bash run_tests.sh` shows:
+- ✅ 9 tests passing (infrastructure and integration)
+- ⚠️  18 tests with issues (due to circular imports and Pydantic validation)
+
+### Working Tests
+- All `test_simple.py` tests (infrastructure validation)
+- PipelineManager tests (4/5 passing)
+- Integration tests
+
+### Known Issues
+
+Some tests encounter:
+1. **Circular import errors** - When importing certain stage modules
+2. **Pydantic validation errors** - Mock Query objects don't pass Pydantic validation
+
+### Recommended Usage
+
+For CI/CD purposes:
+1. Run `test_simple.py` to validate test infrastructure
+2. Run `test_pipelinemgr.py` for manager logic
+3. Use integration tests sparingly due to import issues
+
+For local development:
+1. Use the test infrastructure as a template
+2. Add new tests following the lazy import pattern
+3. Prefer integration-style tests that test behavior not imports
+
+## Future Improvements
+
+### Short Term
+1. **Refactor pipeline module structure** to eliminate circular dependencies
+2. **Add Pydantic model factories** for creating valid test instances
+3. **Expand integration tests** once import issues are resolved
+
+### Long Term
+1. **Integration tests** - Full pipeline execution tests
+2. **Performance benchmarks** - Measure stage execution time
+3. **Mutation testing** - Verify test quality with mutation testing
+4. **Property-based testing** - Use Hypothesis for edge case discovery
+
+## File Structure
+
+```
+.
+├── .github/workflows/
+│   └── pipeline-tests.yml      # CI/CD workflow
+├── tests/
+│   ├── README.md               # Testing documentation
+│   ├── __init__.py
+│   └── pipeline/
+│       ├── __init__.py
+│       ├── conftest.py         # Shared fixtures
+│       ├── test_simple.py      # Infrastructure tests ✅
+│       ├── test_bansess.py     # BanSession tests
+│       ├── test_ratelimit.py   # RateLimit tests
+│       ├── test_preproc.py     # PreProcessor tests
+│       ├── test_respback.py    # ResponseBack tests
+│       ├── test_resprule.py    # ResponseRule tests
+│       ├── test_pipelinemgr.py # Manager tests ✅
+│       └── test_stages_integration.py  # Integration tests
+├── pytest.ini                  # Pytest config
+├── run_tests.sh               # Test runner
+└── TESTING_SUMMARY.md         # This file
+```
+
+## How to Use
+
+### Run Tests Locally
+```bash
+bash run_tests.sh
+```
+
+### Run Specific Test File
+```bash
+pytest tests/pipeline/test_simple.py -v
+```
+
+### Run with Coverage
+```bash
+pytest tests/pipeline/ --cov=pkg/pipeline --cov-report=html
+```
+
+### View Coverage Report
+```bash
+open htmlcov/index.html
+```
+
+## Conclusion
+
+This test suite provides:
+- ✅ Solid foundation for pipeline testing
+- ✅ Extensible architecture for adding new tests
+- ✅ CI/CD integration
+- ✅ Comprehensive documentation
+
+Next steps should focus on refactoring the pipeline module structure to eliminate circular dependencies, which will allow all tests to run successfully.

main.py

@@ -1,54 +1,3 @@
-# QChatGPT 终端启动入口
-# 在此层级解决依赖项检查。
+import langbot.__main__
 
-asciiart = r"""
-  ___   ___ _         _    ___ ___ _____ 
- / _ \ / __| |_  __ _| |_ / __| _ \_   _|
-| (_) | (__| ' \/ _` |  _| (_ |  _/ | |  
- \__\_\\___|_||_\__,_|\__|\___|_|   |_|  
-
-⭐️开源地址: https://github.com/RockChinQ/QChatGPT
-📖文档地址: https://q.rkcn.top
-"""
-
-
-async def main_entry():
-    print(asciiart)
-
-    import sys
-
-    # 检查依赖
-
-    from pkg.core.bootutils import deps
-
-    missing_deps = await deps.check_deps()
-
-    if missing_deps:
-        print("以下依赖包未安装，将自动安装，请完成后重启程序：")
-        for dep in missing_deps:
-            print("-", dep)
-        await deps.install_deps(missing_deps)
-        print("已自动安装缺失的依赖包，请重启程序。")
-        sys.exit(0)
-
-    # 检查配置文件
-        
-    from pkg.core.bootutils import files
-
-    generated_files = await files.generate_files()
-
-    if generated_files:
-        print("以下文件不存在，已自动生成，请按需修改配置文件后重启：")
-        for file in generated_files:
-            print("-", file)
-
-        sys.exit(0)
-
-    from pkg.core import boot
-    await boot.main()
-
-
-if __name__ == '__main__':
-    import asyncio
-
-    asyncio.run(main_entry())
+langbot.__main__.main()

pkg/audit/__init__.py

@@ -1,3 +0,0 @@
-"""
-审计相关操作
-"""

pkg/audit/center/apigroup.py

@@ -1,89 +0,0 @@
-from __future__ import annotations
-
-import abc
-import uuid
-import json
-import logging
-import asyncio
-
-import aiohttp
-import requests
-
-from ...core import app
-
-
-class APIGroup(metaclass=abc.ABCMeta):
-    """API 组抽象类"""
-    _basic_info: dict = None
-    _runtime_info: dict = None
-
-    prefix = None
-
-    ap: app.Application
-
-    def __init__(self, prefix: str, ap: app.Application):
-        self.prefix = prefix
-        self.ap = ap
-
-    async def _do(
-        self,
-        method: str,
-        path: str,
-        data: dict = None,
-        params: dict = None,
-        headers: dict = {},
-        **kwargs
-    ):
-        self._runtime_info['account_id'] = "-1"
-        
-        url = self.prefix + path
-        data = json.dumps(data)
-        headers['Content-Type'] = 'application/json'
-
-        try:
-            async with aiohttp.ClientSession() as session:
-                async with session.request(
-                    method,
-                    url,
-                    data=data,
-                    params=params,
-                    headers=headers,
-                    **kwargs
-                ) as resp:
-                    self.ap.logger.debug("data: %s", data)
-                    self.ap.logger.debug("ret: %s", await resp.text())
-
-        except Exception as e:
-            self.ap.logger.debug(f'上报失败: {e}')
-    
-    async def do(
-        self,
-        method: str,
-        path: str,
-        data: dict = None,
-        params: dict = None,
-        headers: dict = {},
-        **kwargs
-    ) -> asyncio.Task:
-        """执行请求"""
-        asyncio.create_task(self._do(method, path, data, params, headers, **kwargs))
-
-    def gen_rid(
-        self
-    ):
-        """生成一个请求 ID"""
-        return str(uuid.uuid4())
-
-    def basic_info(
-        self
-    ):
-        """获取基本信息"""
-        basic_info = APIGroup._basic_info.copy()
-        basic_info['rid'] = self.gen_rid()
-        return basic_info
-    
-    def runtime_info(
-        self
-    ):
-        """获取运行时信息"""
-        return APIGroup._runtime_info

pkg/audit/center/groups/main.py

@@ -1,55 +0,0 @@
-from __future__ import annotations
-
-from .. import apigroup
-from ....core import app
-
-
-class V2MainDataAPI(apigroup.APIGroup):
-    """主程序相关 数据API"""
-
-    def __init__(self, prefix: str, ap: app.Application):
-        self.ap = ap
-        super().__init__(prefix+"/main", ap)
-
-    async def do(self, *args, **kwargs):
-        if not self.ap.system_cfg.data['report-usage']:
-            return None
-        return await super().do(*args, **kwargs)
-
-    async def post_update_record(
-        self,
-        spent_seconds: int,
-        infer_reason: str,
-        old_version: str,
-        new_version: str,
-    ):
-        """提交更新记录"""
-        return await self.do(
-            "POST",
-            "/update",
-            data={
-                "basic": self.basic_info(),
-                "update_info": {
-                    "spent_seconds": spent_seconds,
-                    "infer_reason": infer_reason,
-                    "old_version": old_version,
-                    "new_version": new_version,
-                }
-            }
-        )
-    
-    async def post_announcement_showed(
-        self,
-        ids: list[int],
-    ):
-        """提交公告已阅"""
-        return await self.do(
-            "POST",
-            "/announcement",
-            data={
-                "basic": self.basic_info(),
-                "announcement_info": {
-                    "ids": ids,
-                }
-            }
-        )

pkg/audit/center/groups/plugin.py

@@ -1,65 +0,0 @@
-from __future__ import annotations
-
-from ....core import app
-from .. import apigroup
-
-
-class V2PluginDataAPI(apigroup.APIGroup):
-    """插件数据相关 API"""
-
-    def __init__(self, prefix: str, ap: app.Application):
-        self.ap = ap
-        super().__init__(prefix+"/plugin", ap)
-
-    async def do(self, *args, **kwargs):
-        if not self.ap.system_cfg.data['report-usage']:
-            return None
-        return await super().do(*args, **kwargs)
-
-    async def post_install_record(
-        self,
-        plugin: dict
-    ):
-        """提交插件安装记录"""
-        return await self.do(
-            "POST",
-            "/install",
-            data={
-                "basic": self.basic_info(),
-                "plugin": plugin,
-            }
-        )
-
-    async def post_remove_record(
-        self,
-        plugin: dict
-    ):
-        """提交插件卸载记录"""
-        return await self.do(
-            "POST",
-            "/remove",
-            data={
-                "basic": self.basic_info(),
-                "plugin": plugin,
-            }
-        )
-
-    async def post_update_record(
-        self,
-        plugin: dict,
-        old_version: str,
-        new_version: str,
-    ):
-        """提交插件更新记录"""
-        return await self.do(
-            "POST",
-            "/update",
-            data={
-                "basic": self.basic_info(),
-                "plugin": plugin,
-                "update_info": {
-                    "old_version": old_version,
-                    "new_version": new_version,
-                }
-            }
-        )

pkg/audit/center/groups/usage.py

@@ -1,88 +0,0 @@
-from __future__ import annotations
-
-from .. import apigroup
-from ....core import app
-
-
-class V2UsageDataAPI(apigroup.APIGroup):
-    """使用量数据相关 API"""
-
-    def __init__(self, prefix: str, ap: app.Application):
-        self.ap = ap
-        super().__init__(prefix+"/usage", ap)
-
-    async def do(self, *args, **kwargs):
-        if not self.ap.system_cfg.data['report-usage']:
-            return None
-        return await super().do(*args, **kwargs)
-
-    async def post_query_record(
-        self,
-        session_type: str,
-        session_id: str,
-        query_ability_provider: str,
-        usage: int,
-        model_name: str,
-        response_seconds: int,
-        retry_times: int,
-    ):
-        """提交请求记录"""
-        return await self.do(
-            "POST",
-            "/query",
-            data={
-                "basic": self.basic_info(),
-                "runtime": self.runtime_info(),
-                "session_info": {
-                    "type": session_type,
-                    "id": session_id,
-                },
-                "query_info": {
-                    "ability_provider": query_ability_provider,
-                    "usage": usage,
-                    "model_name": model_name,
-                    "response_seconds": response_seconds,
-                    "retry_times": retry_times,
-                }
-            }
-        )
-    
-    async def post_event_record(
-        self,
-        plugins: list[dict],
-        event_name: str,
-    ):
-        """提交事件触发记录"""
-        return await self.do(
-            "POST",
-            "/event",
-            data={
-                "basic": self.basic_info(),
-                "runtime": self.runtime_info(),
-                "plugins": plugins,
-                "event_info": {
-                    "name": event_name,
-                }
-            }
-        )
-    
-    async def post_function_record(
-        self,
-        plugin: dict,
-        function_name: str,
-        function_description: str,
-    ):
-        """提交内容函数使用记录"""
-        return await self.do(
-            "POST",
-            "/function",
-            data={
-                "basic": self.basic_info(),
-                "plugin": plugin,
-                "function_info": {
-                    "name": function_name,
-                    "description": function_description,
-                }
-            }
-        )
-    

pkg/audit/center/v2.py

@@ -1,37 +0,0 @@
-from __future__ import annotations
-
-import logging
-
-from . import apigroup
-from .groups import main
-from .groups import usage
-from .groups import plugin
-from ...core import app
-
-
-BACKEND_URL = "https://api.qchatgpt.rockchin.top/api/v2"
-
-class V2CenterAPI:
-    """中央服务器 v2 API 交互类"""
-    
-    main: main.V2MainDataAPI = None
-    """主 API 组"""
-
-    usage: usage.V2UsageDataAPI = None
-    """使用量 API 组"""
-
-    plugin: plugin.V2PluginDataAPI = None
-    """插件 API 组"""
-
-    def __init__(self, ap: app.Application, basic_info: dict = None, runtime_info: dict = None):
-        """初始化"""
-
-        logging.debug("basic_info: %s, runtime_info: %s", basic_info, runtime_info)
-        
-        apigroup.APIGroup._basic_info = basic_info
-        apigroup.APIGroup._runtime_info = runtime_info
-
-        self.main = main.V2MainDataAPI(BACKEND_URL, ap)
-        self.usage = usage.V2UsageDataAPI(BACKEND_URL, ap)
-        self.plugin = plugin.V2PluginDataAPI(BACKEND_URL, ap)
-

pkg/audit/identifier.py

@@ -1,83 +0,0 @@
-import os
-import uuid
-import json
-import time
-
-
-identifier = {
-    'host_id': '',
-    'instance_id': '',
-    'host_create_ts': 0,
-    'instance_create_ts': 0,
-}
-
-HOST_ID_FILE = os.path.expanduser('~/.qchatgpt/host_id.json')
-INSTANCE_ID_FILE = 'res/instance_id.json'
-
-def init():
-    global identifier
-
-    if not os.path.exists(os.path.expanduser('~/.qchatgpt')):
-        os.mkdir(os.path.expanduser('~/.qchatgpt'))
-
-    if not os.path.exists(HOST_ID_FILE):
-        new_host_id = 'host_'+str(uuid.uuid4())
-        new_host_create_ts = int(time.time())
-
-        with open(HOST_ID_FILE, 'w') as f:
-            json.dump({
-                'host_id': new_host_id,
-                'host_create_ts': new_host_create_ts
-            }, f)
-
-        identifier['host_id'] = new_host_id
-        identifier['host_create_ts'] = new_host_create_ts
-    else:
-        loaded_host_id = ''
-        loaded_host_create_ts = 0
-
-        with open(HOST_ID_FILE, 'r') as f:
-            file_content = json.load(f)
-            loaded_host_id = file_content['host_id']
-            loaded_host_create_ts = file_content['host_create_ts']
-
-        identifier['host_id'] = loaded_host_id
-        identifier['host_create_ts'] = loaded_host_create_ts
-
-    # 检查实例 id
-    if os.path.exists(INSTANCE_ID_FILE):
-        instance_id = {}
-        with open(INSTANCE_ID_FILE, 'r') as f:
-            instance_id = json.load(f)
-        
-        if instance_id['host_id'] != identifier['host_id']: # 如果实例 id 不是当前主机的，删除
-            os.remove(INSTANCE_ID_FILE)
-
-    if not os.path.exists(INSTANCE_ID_FILE):
-        new_instance_id = 'instance_'+str(uuid.uuid4())
-        new_instance_create_ts = int(time.time())
-
-        with open(INSTANCE_ID_FILE, 'w') as f:
-            json.dump({
-                'host_id': identifier['host_id'],
-                'instance_id': new_instance_id,
-                'instance_create_ts': new_instance_create_ts
-            }, f)
-
-        identifier['instance_id'] = new_instance_id
-        identifier['instance_create_ts'] = new_instance_create_ts
-    else:
-        loaded_instance_id = ''
-        loaded_instance_create_ts = 0
-
-        with open(INSTANCE_ID_FILE, 'r') as f:
-            file_content = json.load(f)
-            loaded_instance_id = file_content['instance_id']
-            loaded_instance_create_ts = file_content['instance_create_ts']
-
-        identifier['instance_id'] = loaded_instance_id
-        identifier['instance_create_ts'] = loaded_instance_create_ts
-
-def print_out():
-    global identifier
-    print(identifier)

pkg/command/cmdmgr.py

@@ -1,125 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from ..core import app, entities as core_entities
-from ..provider import entities as llm_entities
-from . import entities, operator, errors
-from ..config import manager as cfg_mgr
-
-from .operators import func, plugin, default, reset, list as list_cmd, last, next, delc, resend, prompt, cmd, help, version, update
-
-
-class CommandManager:
-    """命令管理器
-    """
-
-    ap: app.Application
-
-    cmd_list: list[operator.CommandOperator]
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-
-    async def initialize(self):
-
-        # 设置各个类的路径
-        def set_path(cls: operator.CommandOperator, ancestors: list[str]):
-            cls.path = '.'.join(ancestors + [cls.name])
-            for op in operator.preregistered_operators:
-                if op.parent_class == cls:
-                    set_path(op, ancestors + [cls.name])
-        
-        for cls in operator.preregistered_operators:
-            if cls.parent_class is None:
-                set_path(cls, [])
-
-        # 应用命令权限配置
-        for cls in operator.preregistered_operators:
-            if cls.path in self.ap.command_cfg.data['privilege']:
-                cls.lowest_privilege = self.ap.command_cfg.data['privilege'][cls.path]
-
-        # 实例化所有类
-        self.cmd_list = [cls(self.ap) for cls in operator.preregistered_operators]
-
-        # 设置所有类的子节点
-        for cmd in self.cmd_list:
-            cmd.children = [child for child in self.cmd_list if child.parent_class == cmd.__class__]
-
-        # 初始化所有类
-        for cmd in self.cmd_list:
-            await cmd.initialize()
-
-    async def _execute(
-        self,
-        context: entities.ExecuteContext,
-        operator_list: list[operator.CommandOperator],
-        operator: operator.CommandOperator = None
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        """执行命令
-        """
-
-        found = False
-        if len(context.crt_params) > 0:
-            for oper in operator_list:
-                if (context.crt_params[0] == oper.name \
-                    or context.crt_params[0] in oper.alias) \
-                    and (oper.parent_class is None or oper.parent_class == operator.__class__):
-                    found = True
-
-                    context.crt_command = context.crt_params[0]
-                    context.crt_params = context.crt_params[1:]
-
-                    async for ret in self._execute(
-                        context,
-                        oper.children,
-                        oper
-                    ):
-                        yield ret
-                    break
-
-        if not found:
-            if operator is None:
-                yield entities.CommandReturn(
-                    error=errors.CommandNotFoundError(context.crt_params[0])
-                )
-            else:
-                if operator.lowest_privilege > context.privilege:
-                    yield entities.CommandReturn(
-                        error=errors.CommandPrivilegeError(operator.name)
-                    )
-                else:
-                    async for ret in operator.execute(context):
-                        yield ret
-
-
-    async def execute(
-        self,
-        command_text: str,
-        query: core_entities.Query,
-        session: core_entities.Session
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        """执行命令
-        """
-
-        privilege = 1
-
-        if f'{query.launcher_type.value}_{query.launcher_id}' in self.ap.system_cfg.data['admin-sessions']:
-            privilege = 2
-
-        ctx = entities.ExecuteContext(
-            query=query,
-            session=session,
-            command_text=command_text,
-            command='',
-            crt_command='',
-            params=command_text.split(' '),
-            crt_params=command_text.split(' '),
-            privilege=privilege
-        )
-
-        async for ret in self._execute(
-            ctx,
-            self.cmd_list
-        ):
-            yield ret

pkg/command/entities.py

@@ -1,42 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-import pydantic
-import mirai
-
-from ..core import app, entities as core_entities
-from . import errors, operator
-
-
-class CommandReturn(pydantic.BaseModel):
-
-    text: typing.Optional[str]
-    """文本
-    """
-
-    image: typing.Optional[mirai.Image]
-
-    error: typing.Optional[errors.CommandError]= None
-
-    class Config:
-        arbitrary_types_allowed = True
-
-
-class ExecuteContext(pydantic.BaseModel):
-
-    query: core_entities.Query
-
-    session: core_entities.Session
-
-    command_text: str
-
-    command: str
-
-    crt_command: str
-
-    params: list[str]
-
-    crt_params: list[str]
-
-    privilege: int

pkg/command/errors.py

@@ -1,33 +0,0 @@
-
-
-class CommandError(Exception):
-    
-    def __init__(self, message: str = None):
-        self.message = message
-    
-    def __str__(self):
-        return self.message
-
-
-class CommandNotFoundError(CommandError):
-    
-    def __init__(self, message: str = None):
-        super().__init__("未知命令: "+message)
-
-
-class CommandPrivilegeError(CommandError):
-    
-    def __init__(self, message: str = None):
-        super().__init__("权限不足: "+message)
-
-
-class ParamNotEnoughError(CommandError):
-    
-    def __init__(self, message: str = None):
-        super().__init__("参数不足: "+message)
-
-
-class CommandOperationError(CommandError):
-    
-    def __init__(self, message: str = None):
-        super().__init__("操作失败: "+message)

pkg/command/operator.py

@@ -1,78 +0,0 @@
-from __future__ import annotations
-
-import typing
-import abc
-
-from ..core import app, entities as core_entities
-from . import entities
-
-
-preregistered_operators: list[typing.Type[CommandOperator]] = []
-
-
-def operator_class(
-    name: str,
-    help: str,
-    usage: str = None,
-    alias: list[str] = [],
-    privilege: int=1,  # 1为普通用户，2为管理员
-    parent_class: typing.Type[CommandOperator] = None
-) -> typing.Callable[[typing.Type[CommandOperator]], typing.Type[CommandOperator]]:
-    def decorator(cls: typing.Type[CommandOperator]) -> typing.Type[CommandOperator]:
-        cls.name = name
-        cls.alias = alias
-        cls.help = help
-        cls.usage = usage
-        cls.parent_class = parent_class
-        cls.lowest_privilege = privilege
-
-        preregistered_operators.append(cls)
-
-        return cls
-
-    return decorator
-
-
-class CommandOperator(metaclass=abc.ABCMeta):
-    """命令算子
-    """
-
-    ap: app.Application
-
-    name: str
-    """名称，搜索到时若符合则使用"""
-
-    path: str
-    """路径，所有父节点的name的连接，用于定义命令权限"""
-
-    alias: list[str]
-    """同name"""
-
-    help: str
-    """此节点的帮助信息"""
-
-    usage: str = None
-
-    parent_class: typing.Union[typing.Type[CommandOperator], None] = None
-    """父节点类。标记以供管理器在初始化时编织父子关系。"""
-
-    lowest_privilege: int = 0
-    """最低权限。若权限低于此值，则不予执行。"""
-
-    children: list[CommandOperator]
-    """子节点。解析命令时，若节点有子节点，则以下一个参数去匹配子节点，
-    若有匹配中的，转移到子节点中执行，若没有匹配中的或没有子节点，执行此节点。"""
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-        self.children = []
-
-    async def initialize(self):
-        pass
-
-    @abc.abstractmethod
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        pass

pkg/command/operators/cmd.py

@@ -1,50 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="cmd",
-    help='显示命令列表',
-    usage='!cmd\n!cmd <命令名称>'
-)
-class CmdOperator(operator.CommandOperator):
-    """命令列表
-    """
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        """执行
-        """
-        if len(context.crt_params) == 0:
-            reply_str = "当前所有命令: \n\n"
-
-            for cmd in self.ap.cmd_mgr.cmd_list:
-                if cmd.parent_class is None:
-                    reply_str += f"{cmd.name}: {cmd.help}\n"
-        
-            reply_str += "\n使用 !cmd <命令名称> 查看命令的详细帮助"
-
-            yield entities.CommandReturn(text=reply_str.strip())
-        
-        else:
-            cmd_name = context.crt_params[0]
-
-            cmd = None
-
-            for _cmd in self.ap.cmd_mgr.cmd_list:
-                if (cmd_name == _cmd.name or cmd_name in _cmd.alias) and (_cmd.parent_class is None):
-                    cmd = _cmd
-                    break
-
-            if cmd is None:
-                yield entities.CommandReturn(error=errors.CommandNotFoundError(cmd_name))
-            else:
-                reply_str = f"{cmd.name}: {cmd.help}\n\n"
-                reply_str += f"使用方法: \n{cmd.usage}"
-
-                yield entities.CommandReturn(text=reply_str.strip())

pkg/command/operators/default.py

@@ -1,62 +0,0 @@
-from __future__ import annotations
-
-import typing
-import traceback
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="default",
-    help="操作情景预设",
-    usage='!default\n!default set <指定情景预设为默认>'
-)
-class DefaultOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        reply_str = "当前所有情景预设: \n\n"
-
-        for prompt in self.ap.prompt_mgr.get_all_prompts():
-
-            content = ""
-            for msg in prompt.messages:
-                content += f"  {msg.role}: {msg.content}"
-
-            reply_str += f"名称: {prompt.name}\n内容: \n{content}\n\n"
-
-        reply_str += f"当前会话使用的是: {context.session.use_prompt_name}"
-
-        yield entities.CommandReturn(text=reply_str.strip())
-
-
-@operator.operator_class(
-    name="set",
-    help="设置当前会话默认情景预设",
-    parent_class=DefaultOperator
-)
-class DefaultSetOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-            
-            if len(context.crt_params) == 0:
-                yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供情景预设名称'))
-            else:
-                prompt_name = context.crt_params[0]
-        
-                try:
-                    prompt = await self.ap.prompt_mgr.get_prompt_by_prefix(prompt_name)
-                    if prompt is None:
-                        yield entities.CommandReturn(error=errors.CommandError("设置当前会话默认情景预设失败: 未找到情景预设 {}".format(prompt_name)))
-                    else:
-                        context.session.use_prompt_name = prompt.name
-                        yield entities.CommandReturn(text=f"已设置当前会话默认情景预设为 {prompt_name}, !reset 后生效")
-                except Exception as e:
-                    traceback.print_exc()
-                    yield entities.CommandReturn(error=errors.CommandError("设置当前会话默认情景预设失败: "+str(e)))

pkg/command/operators/delc.py

@@ -1,62 +0,0 @@
-from __future__ import annotations
-
-import typing
-import datetime
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="del",
-    help="删除当前会话的历史记录",
-    usage='!del <序号>\n!del all'
-)
-class DelOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if context.session.conversations:
-            delete_index = 0
-            if len(context.crt_params) > 0:
-                try:
-                    delete_index = int(context.crt_params[0])
-                except:
-                    yield entities.CommandReturn(error=errors.CommandOperationError('索引必须是整数'))
-                    return
-                
-            if delete_index < 0 or delete_index >= len(context.session.conversations):
-                yield entities.CommandReturn(error=errors.CommandOperationError('索引超出范围'))
-                return
-            
-            # 倒序
-            to_delete_index = len(context.session.conversations)-1-delete_index
-
-            if context.session.conversations[to_delete_index] == context.session.using_conversation:
-                context.session.using_conversation = None
-
-            del context.session.conversations[to_delete_index]
-
-            yield entities.CommandReturn(text=f"已删除对话: {delete_index}")
-        else:
-            yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))
-
-
-@operator.operator_class(
-    name="all",
-    help="删除此会话的所有历史记录",
-    parent_class=DelOperator
-)
-class DelAllOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-
-        context.session.conversations = []
-        context.session.using_conversation = None
-
-        yield entities.CommandReturn(text="已删除所有对话")

pkg/command/operators/func.py

@@ -1,27 +0,0 @@
-from __future__ import annotations
-from typing import AsyncGenerator
-
-from .. import operator, entities, cmdmgr
-
-
-@operator.operator_class(name="func", help="查看所有已注册的内容函数", usage='!func')
-class FuncOperator(operator.CommandOperator):
-    async def execute(
-        self, context: entities.ExecuteContext
-    ) -> AsyncGenerator[entities.CommandReturn, None]:
-        reply_str = "当前已加载的内容函数: \n\n"
-
-        index = 1
-
-        all_functions = await self.ap.tool_mgr.get_all_functions()
-
-        for func in all_functions:
-            reply_str += "{}. {}{}:\n{}\n\n".format(
-                index,
-                ("(已禁用) " if not func.enable else ""),
-                func.name,
-                func.description,
-            )
-            index += 1
-
-        yield entities.CommandReturn(text=reply_str)

pkg/command/operators/help.py

@@ -1,23 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name='help',
-    help='显示帮助',
-    usage='!help\n!help <命令名称>'
-)
-class HelpOperator(operator.CommandOperator):
-    
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        help = self.ap.system_cfg.data['help-message']
-
-        help += '\n发送命令 !cmd 可查看命令列表'
-
-        yield entities.CommandReturn(text=help)

pkg/command/operators/last.py

@@ -1,36 +0,0 @@
-from __future__ import annotations
-
-import typing
-import datetime
-
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="last",
-    help="切换到前一个对话",
-    usage='!last'
-)
-class LastOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if context.session.conversations:
-            # 找到当前会话的上一个会话
-            for index in range(len(context.session.conversations)-1, -1, -1):
-                if context.session.conversations[index] == context.session.using_conversation:
-                    if index == 0:
-                        yield entities.CommandReturn(error=errors.CommandOperationError('已经是第一个对话了'))
-                        return
-                    else:
-                        context.session.using_conversation = context.session.conversations[index-1]
-                        time_str = context.session.using_conversation.create_time.strftime("%Y-%m-%d %H:%M:%S")
-
-                        yield entities.CommandReturn(text=f"已切换到上一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].content}")
-                        return
-        else:
-            yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))

pkg/command/operators/list.py

@@ -1,56 +0,0 @@
-from __future__ import annotations
-
-import typing
-import datetime
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="list",
-    help="列出此会话中的所有历史对话",
-    usage='!list\n!list <页码>'
-)
-class ListOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        page = 0
-
-        if len(context.crt_params) > 0:
-            try:
-                page = int(context.crt_params[0]-1)
-            except:
-                yield entities.CommandReturn(error=errors.CommandOperationError('页码应为整数'))
-                return
-
-        record_per_page = 10
-
-        content = ''
-
-        index = 0
-
-        using_conv_index = 0
-
-        for conv in context.session.conversations[::-1]:
-            time_str =  conv.create_time.strftime("%Y-%m-%d %H:%M:%S")
-
-            if conv == context.session.using_conversation:
-                using_conv_index = index
-
-            if index >= page * record_per_page and index < (page + 1) * record_per_page:
-                content += f"{index} {time_str}: {conv.messages[0].content if len(conv.messages) > 0 else '无内容'}\n"
-            index += 1
-
-        if content == '':
-            content = '无'
-        else:
-            if context.session.using_conversation is None:
-                content += "\n当前处于新会话"
-            else:
-                content += f"\n当前会话: {using_conv_index} {context.session.using_conversation.create_time.strftime('%Y-%m-%d %H:%M:%S')}: {context.session.using_conversation.messages[0].content if len(context.session.using_conversation.messages) > 0 else '无内容'}"
-        
-        yield entities.CommandReturn(text=f"第 {page + 1} 页 (时间倒序):\n{content}")

pkg/command/operators/next.py

@@ -1,35 +0,0 @@
-from __future__ import annotations
-
-import typing
-import datetime
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="next",
-    help="切换到后一个对话",
-    usage='!next'
-)
-class NextOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if context.session.conversations:
-            # 找到当前会话的下一个会话
-            for index in range(len(context.session.conversations)):
-                if context.session.conversations[index] == context.session.using_conversation:
-                    if index == len(context.session.conversations)-1:
-                        yield entities.CommandReturn(error=errors.CommandOperationError('已经是最后一个对话了'))
-                        return
-                    else:
-                        context.session.using_conversation = context.session.conversations[index+1]
-                        time_str = context.session.using_conversation.create_time.strftime("%Y-%m-%d %H:%M:%S")
-
-                        yield entities.CommandReturn(text=f"已切换到后一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].content}")
-                        return
-        else:
-            yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))

pkg/command/operators/plugin.py

@@ -1,237 +0,0 @@
-from __future__ import annotations
-import typing
-import traceback
-
-from .. import operator, entities, cmdmgr, errors
-from ...core import app
-
-
-@operator.operator_class(
-    name="plugin",
-    help="插件操作",
-    usage="!plugin\n!plugin get <插件仓库地址>\n!plugin update\n!plugin del <插件名>\n!plugin on <插件名>\n!plugin off <插件名>"
-)
-class PluginOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        plugin_list = self.ap.plugin_mgr.plugins
-        reply_str = "所有插件({}):\n".format(len(plugin_list))
-        idx = 0
-        for plugin in plugin_list:
-            reply_str += "\n#{} {} {}\n{}\nv{}\n作者: {}\n"\
-                .format((idx+1), plugin.plugin_name,
-                        "[已禁用]" if not plugin.enabled else "",
-                        plugin.plugin_description,
-                        plugin.plugin_version, plugin.plugin_author)
-
-            # TODO 从元数据调远程地址
-
-            idx += 1
-
-        yield entities.CommandReturn(text=reply_str)
-
-
-@operator.operator_class(
-    name="get",
-    help="安装插件",
-    privilege=2,
-    parent_class=PluginOperator
-)
-class PluginGetOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件仓库地址'))
-        else:
-            repo = context.crt_params[0]
-
-            yield entities.CommandReturn(text="正在安装插件...")
-
-            try:
-                await self.ap.plugin_mgr.install_plugin(repo)
-                yield entities.CommandReturn(text="插件安装成功，请重启程序以加载插件")
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("插件安装失败: "+str(e)))
-
-
-@operator.operator_class(
-    name="update",
-    help="更新插件",
-    privilege=2,
-    parent_class=PluginOperator
-)
-class PluginUpdateOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                plugin_container = self.ap.plugin_mgr.get_plugin_by_name(plugin_name)
-
-                if plugin_container is not None:
-                    yield entities.CommandReturn(text="正在更新插件...")
-                    await self.ap.plugin_mgr.update_plugin(plugin_name)
-                    yield entities.CommandReturn(text="插件更新成功，请重启程序以加载插件")
-                else:
-                    yield entities.CommandReturn(error=errors.CommandError("插件更新失败: 未找到插件"))
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("插件更新失败: "+str(e)))
-
-@operator.operator_class(
-    name="all",
-    help="更新所有插件",
-    privilege=2,
-    parent_class=PluginUpdateOperator
-)
-class PluginUpdateAllOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-
-        try:
-            plugins = [
-                p.plugin_name
-                for p in self.ap.plugin_mgr.plugins
-            ]
-
-            if plugins:
-                yield entities.CommandReturn(text="正在更新插件...")
-                updated = []
-                try:
-                    for plugin_name in plugins:
-                        await self.ap.plugin_mgr.update_plugin(plugin_name)
-                        updated.append(plugin_name)
-                except Exception as e:
-                    traceback.print_exc()
-                    yield entities.CommandReturn(error=errors.CommandError("插件更新失败: "+str(e)))
-                yield entities.CommandReturn(text="已更新插件: {}".format(", ".join(updated)))
-            else:
-                yield entities.CommandReturn(text="没有可更新的插件")
-        except Exception as e:
-            traceback.print_exc()
-            yield entities.CommandReturn(error=errors.CommandError("插件更新失败: "+str(e)))
-
-
-@operator.operator_class(
-    name="del",
-    help="删除插件",
-    privilege=2,
-    parent_class=PluginOperator
-)
-class PluginDelOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                plugin_container = self.ap.plugin_mgr.get_plugin_by_name(plugin_name)
-
-                if plugin_container is not None:
-                    yield entities.CommandReturn(text="正在删除插件...")
-                    await self.ap.plugin_mgr.uninstall_plugin(plugin_name)
-                    yield entities.CommandReturn(text="插件删除成功，请重启程序以加载插件")
-                else:
-                    yield entities.CommandReturn(error=errors.CommandError("插件删除失败: 未找到插件"))
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("插件删除失败: "+str(e)))
-
-
-async def update_plugin_status(plugin_name: str, new_status: bool, ap: app.Application):
-    if ap.plugin_mgr.get_plugin_by_name(plugin_name) is not None:
-        for plugin in ap.plugin_mgr.plugins:
-            if plugin.plugin_name == plugin_name:
-                plugin.enabled = new_status
-
-                for func in plugin.content_functions:
-                    func.enable = new_status
-                
-                await ap.plugin_mgr.setting.dump_container_setting(ap.plugin_mgr.plugins)
-
-                break
-
-        return True
-    else:
-        return False
-
-
-@operator.operator_class(
-    name="on",
-    help="启用插件",
-    privilege=2,
-    parent_class=PluginOperator
-)
-class PluginEnableOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                if await update_plugin_status(plugin_name, True, self.ap):
-                    yield entities.CommandReturn(text="已启用插件: {}".format(plugin_name))
-                else:
-                    yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: 未找到插件 {}".format(plugin_name)))
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: "+str(e)))
-
-
-@operator.operator_class(
-    name="off",
-    help="禁用插件",
-    privilege=2,
-    parent_class=PluginOperator
-)
-class PluginDisableOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                if await update_plugin_status(plugin_name, False, self.ap):
-                    yield entities.CommandReturn(text="已禁用插件: {}".format(plugin_name))
-                else:
-                    yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: 未找到插件 {}".format(plugin_name)))
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: "+str(e)))

pkg/command/operators/prompt.py

@@ -1,29 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="prompt",
-    help="查看当前对话的前文",
-    usage='!prompt'
-)
-class PromptOperator(operator.CommandOperator):
-    
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        """执行
-        """
-        if context.session.using_conversation is None:
-            yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))
-        else:
-            reply_str = '当前对话所有内容:\n\n'
-
-            for msg in context.session.using_conversation.messages:
-                reply_str += f"{msg.role}: {msg.content}\n"
-
-            yield entities.CommandReturn(text=reply_str)

pkg/command/operators/resend.py

@@ -1,34 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="resend",
-    help="重发当前会话的最后一条消息",
-    usage='!resend'
-)
-class ResendOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        # 回滚到最后一条用户message前
-        if context.session.using_conversation is None:
-            yield entities.CommandReturn(error=errors.CommandError("当前没有对话"))
-        else:
-            conv_msg = context.session.using_conversation.messages
-            
-            # 倒序一直删到最后一条用户message
-            while len(conv_msg) > 0 and conv_msg[-1].role != 'user':
-                conv_msg.pop()
-
-            if len(conv_msg) > 0:
-                # 删除最后一条用户message
-                conv_msg.pop()
-
-            # 不重发了，提示用户已删除就行了
-            yield entities.CommandReturn(text="已删除最后一次请求记录")

pkg/command/operators/reset.py

@@ -1,23 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="reset",
-    help="重置当前会话",
-    usage='!reset'
-)
-class ResetOperator(operator.CommandOperator):
-    
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        """执行
-        """
-        context.session.using_conversation = None
-
-        yield entities.CommandReturn(text="已重置当前会话")

pkg/command/operators/update.py

@@ -1,30 +0,0 @@
-from __future__ import annotations
-
-import typing
-import traceback
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="update",
-    help="更新程序",
-    usage='!update',
-    privilege=2
-)
-class UpdateCommand(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-       
-        try:
-            yield entities.CommandReturn(text="正在进行更新...")
-            if await self.ap.ver_mgr.update_all():
-                yield entities.CommandReturn(text="更新完成，请重启程序以应用更新")
-            else:
-                yield entities.CommandReturn(text="当前已是最新版本")
-        except Exception as e:
-            traceback.print_exc()
-            yield entities.CommandReturn(error=errors.CommandError("更新失败: "+str(e)))

pkg/command/operators/version.py

@@ -1,27 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, cmdmgr, entities, errors
-
-
-@operator.operator_class(
-    name="version",
-    help="显示版本信息",
-    usage='!version'
-)
-class VersionCommand(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        reply_str = f"当前版本: \n{self.ap.ver_mgr.get_current_version()}"
-
-        try:
-            if await self.ap.ver_mgr.is_new_version_available():
-                reply_str += "\n\n有新版本可用, 使用 !update 更新"
-        except:
-            pass
-
-        yield entities.CommandReturn(text=reply_str.strip())

pkg/config/impls/json.py

@@ -1,47 +0,0 @@
-import os
-import shutil
-import json
-
-from .. import model as file_model
-
-
-class JSONConfigFile(file_model.ConfigFile):
-    """JSON配置文件"""
-
-    config_file_name: str = None
-    """配置文件名"""
-
-    template_file_name: str = None
-    """模板文件名"""
-
-    def __init__(self, config_file_name: str, template_file_name: str) -> None:
-        self.config_file_name = config_file_name
-        self.template_file_name = template_file_name
-
-    def exists(self) -> bool:
-        return os.path.exists(self.config_file_name)
-
-    async def create(self):
-        shutil.copyfile(self.template_file_name, self.config_file_name)
-
-    async def load(self) -> dict:
-
-        if not self.exists():
-            await self.create()
-
-        with open(self.config_file_name, 'r', encoding='utf-8') as f:
-            cfg = json.load(f)
-
-        # 从模板文件中进行补全
-        with open(self.template_file_name, 'r', encoding='utf-8') as f:
-            template_cfg = json.load(f)
-
-        for key in template_cfg:
-            if key not in cfg:
-                cfg[key] = template_cfg[key]
-
-        return cfg
-    
-    async def save(self, cfg: dict):
-        with open(self.config_file_name, 'w', encoding='utf-8') as f:
-            json.dump(cfg, f, indent=4, ensure_ascii=False)

pkg/config/manager.py

@@ -1,53 +0,0 @@
-from __future__ import annotations
-
-from . import model as file_model
-from .impls import pymodule, json as json_file
-
-
-managers: ConfigManager = []
-
-
-class ConfigManager:
-    """配置文件管理器"""
-
-    file: file_model.ConfigFile = None
-    """配置文件实例"""
-
-    data: dict = None
-    """配置数据"""
-
-    def __init__(self, cfg_file: file_model.ConfigFile) -> None:
-        self.file = cfg_file
-        self.data = {}
-
-    async def load_config(self):
-        self.data = await self.file.load()
-
-    async def dump_config(self):
-        await self.file.save(self.data)
-
-
-async def load_python_module_config(config_name: str, template_name: str) -> ConfigManager:
-    """加载Python模块配置文件"""
-    cfg_inst = pymodule.PythonModuleConfigFile(
-        config_name,
-        template_name
-    )
-
-    cfg_mgr = ConfigManager(cfg_inst)
-    await cfg_mgr.load_config()
-
-    return cfg_mgr
-
-
-async def load_json_config(config_name: str, template_name: str) -> ConfigManager:
-    """加载JSON配置文件"""
-    cfg_inst = json_file.JSONConfigFile(
-        config_name,
-        template_name
-    )
-
-    cfg_mgr = ConfigManager(cfg_inst)
-    await cfg_mgr.load_config()
-
-    return cfg_mgr

pkg/core/app.py

@@ -1,106 +0,0 @@
-from __future__ import annotations
-
-import logging
-import asyncio
-import traceback
-
-from ..platform import manager as im_mgr
-from ..provider.session import sessionmgr as llm_session_mgr
-from ..provider.requester import modelmgr as llm_model_mgr
-from ..provider.sysprompt import sysprompt as llm_prompt_mgr
-from ..provider.tools import toolmgr as llm_tool_mgr
-from ..config import manager as config_mgr
-from ..audit.center import v2 as center_mgr
-from ..command import cmdmgr
-from ..plugin import manager as plugin_mgr
-from ..pipeline import pool
-from ..pipeline import controller, stagemgr
-from ..utils import version as version_mgr, proxy as proxy_mgr
-
-
-class Application:
-    im_mgr: im_mgr.PlatformManager = None
-
-    cmd_mgr: cmdmgr.CommandManager = None
-
-    sess_mgr: llm_session_mgr.SessionManager = None
-
-    model_mgr: llm_model_mgr.ModelManager = None
-
-    prompt_mgr: llm_prompt_mgr.PromptManager = None
-
-    tool_mgr: llm_tool_mgr.ToolManager = None
-
-    command_cfg: config_mgr.ConfigManager = None
-
-    pipeline_cfg: config_mgr.ConfigManager = None
-
-    platform_cfg: config_mgr.ConfigManager = None
-
-    provider_cfg: config_mgr.ConfigManager = None
-
-    system_cfg: config_mgr.ConfigManager = None
-
-    ctr_mgr: center_mgr.V2CenterAPI = None
-
-    plugin_mgr: plugin_mgr.PluginManager = None
-
-    query_pool: pool.QueryPool = None
-
-    ctrl: controller.Controller = None
-
-    stage_mgr: stagemgr.StageManager = None
-
-    ver_mgr: version_mgr.VersionManager = None
-
-    proxy_mgr: proxy_mgr.ProxyManager = None
-
-    logger: logging.Logger = None
-
-    def __init__(self):
-        pass
-
-    async def initialize(self):
-        pass
-
-    async def run(self):
-        await self.plugin_mgr.load_plugins()
-        await self.plugin_mgr.initialize_plugins()
-
-        tasks = []
-
-        try:
-
-                    
-            tasks = [
-                asyncio.create_task(self.im_mgr.run()),
-                asyncio.create_task(self.ctrl.run())
-            ]
-
-            # async def interrupt(tasks):
-            #     await asyncio.sleep(1.5)
-            #     while await aioconsole.ainput("使用 ctrl+c 或 'exit' 退出程序 > ") != 'exit':
-            #         pass
-            #     for task in tasks:
-            #         task.cancel()
-            
-            # await interrupt(tasks)
-
-            import signal
-
-            def signal_handler(sig, frame):
-                for task in tasks:
-                    task.cancel()
-                self.logger.info("程序退出.")
-                exit(0)
-
-            signal.signal(signal.SIGINT, signal_handler)
-
-            await asyncio.gather(*tasks, return_exceptions=True)
-
-        except asyncio.CancelledError:
-            pass
-        except Exception as e:
-            self.logger.error(f"应用运行致命异常: {e}")
-            self.logger.debug(f"Traceback: {traceback.format_exc()}")
-

pkg/core/boot.py

@@ -1,35 +0,0 @@
-from __future__ import print_function
-
-from . import app
-from ..audit import identifier
-from . import stage
-from .stages import load_config, setup_logger, build_app
-
-
-stage_order = [
-    "LoadConfigStage",
-    "SetupLoggerStage",
-    "BuildAppStage"
-]
-
-
-async def make_app() -> app.Application:
-
-    # 生成标识符
-    identifier.init()
-
-    ap = app.Application()
-
-    for stage_name in stage_order:
-        stage_cls = stage.preregistered_stages[stage_name]
-        stage_inst = stage_cls()
-        await stage_inst.run(ap)
-
-    await ap.initialize()
-
-    return ap
-
-
-async def main():
-    app_inst = await make_app()
-    await app_inst.run()

pkg/core/bootutils/config.py

@@ -1,23 +0,0 @@
-from __future__ import annotations
-
-import json
-
-from ...config import manager as config_mgr
-from ...config.impls import pymodule
-
-
-load_python_module_config = config_mgr.load_python_module_config
-load_json_config = config_mgr.load_json_config
-
-
-async def override_config_manager(cfg_mgr: config_mgr.ConfigManager) -> list[str]:
-    override_json = json.load(open("override.json", "r", encoding="utf-8"))
-    overrided = []
-
-    config = cfg_mgr.data
-    for key in override_json:
-        if key in config:
-            config[key] = override_json[key]
-            overrided.append(key)
-
-    return overrided

pkg/core/bootutils/deps.py

@@ -1,34 +0,0 @@
-import pip
-
-required_deps = {
-    "requests": "requests",
-    "openai": "openai",
-    "colorlog": "colorlog",
-    "mirai": "yiri-mirai-rc",
-    "aiocqhttp": "aiocqhttp",
-    "botpy": "qq-botpy",
-    "PIL": "pillow",
-    "nakuru": "nakuru-project-idk",
-    "CallingGPT": "CallingGPT",
-    "tiktoken": "tiktoken",
-    "yaml": "pyyaml",
-    "aiohttp": "aiohttp",
-}
-
-
-async def check_deps() -> list[str]:
-    global required_deps
-
-    missing_deps = []
-    for dep in required_deps:
-        try:
-            __import__(dep)
-        except ImportError:
-            missing_deps.append(dep)
-    return missing_deps
-
-async def install_deps(deps: list[str]):
-    global required_deps
-    
-    for dep in deps:
-        pip.main(["install", required_deps[dep]])

pkg/core/bootutils/files.py

@@ -1,43 +0,0 @@
-from __future__ import annotations
-
-import os
-import shutil
-import sys
-
-
-required_files = {
-    "plugins/__init__.py": "templates/__init__.py",
-    "plugins/plugins.json": "templates/plugin-settings.json",
-    "data/config/command.json": "templates/command.json",
-    "data/config/pipeline.json": "templates/pipeline.json",
-    "data/config/platform.json": "templates/platform.json",
-    "data/config/provider.json": "templates/provider.json",
-    "data/config/system.json": "templates/system.json",
-    "data/config/sensitive-words.json": "templates/sensitive-words.json",
-    "data/scenario/default.json": "templates/scenario-template.json",
-}
-
-required_paths = [
-    "temp",
-    "data",
-    "data/prompts",
-    "data/scenario",
-    "data/logs",
-    "data/config",
-    "plugins"
-]
-
-async def generate_files() -> list[str]:
-    global required_files, required_paths
-
-    for required_paths in required_paths:
-        if not os.path.exists(required_paths):
-            os.mkdir(required_paths)
-
-    generated_files = []
-    for file in required_files:
-        if not os.path.exists(file):
-            shutil.copyfile(required_files[file], file)
-            generated_files.append(file)
-
-    return generated_files

pkg/core/bootutils/log.py

@@ -1,61 +0,0 @@
-import logging
-import os
-import sys
-import time
-
-import colorlog
-
-
-log_colors_config = {
-    "DEBUG": "green",  # cyan white
-    "INFO": "white",
-    "WARNING": "yellow",
-    "ERROR": "red",
-    "CRITICAL": "cyan",
-}
-
-
-async def init_logging() -> logging.Logger:
-    # 删除所有现有的logger
-    for handler in logging.root.handlers[:]:
-        logging.root.removeHandler(handler)
-
-    level = logging.INFO
-
-    if "DEBUG" in os.environ and os.environ["DEBUG"] in ["true", "1"]:
-        level = logging.DEBUG
-
-    log_file_name = "data/logs/qcg-%s.log" % time.strftime(
-        "%Y-%m-%d-%H-%M-%S", time.localtime()
-    )
-
-    qcg_logger = logging.getLogger("qcg")
-
-    qcg_logger.setLevel(level)
-
-    color_formatter = colorlog.ColoredFormatter(
-        fmt="%(log_color)s[%(asctime)s.%(msecs)03d] %(pathname)s (%(lineno)d) - [%(levelname)s] :\n    %(message)s",
-        datefmt="%Y-%m-%d %H:%M:%S",
-        log_colors=log_colors_config,
-    )
-
-    stream_handler = logging.StreamHandler(sys.stdout)
-
-    log_handlers: logging.Handler = [stream_handler, logging.FileHandler(log_file_name)]
-
-    for handler in log_handlers:
-        handler.setLevel(level)
-        handler.setFormatter(color_formatter)
-        qcg_logger.addHandler(handler)
-
-    qcg_logger.debug("日志初始化完成，日志级别：%s" % level)
-    logging.basicConfig(
-        level=logging.CRITICAL,  # 设置日志输出格式
-        format="[DEPR][%(asctime)s.%(msecs)03d] %(pathname)s (%(lineno)d) - [%(levelname)s] :\n%(message)s",
-        # 日志输出的格式
-        # -8表示占位符，让输出左对齐，输出长度都为8位
-        datefmt="%Y-%m-%d %H:%M:%S",  # 时间输出的格式
-        handlers=[logging.NullHandler()],
-    )
-
-    return qcg_logger

pkg/core/entities.py

@@ -1,116 +0,0 @@
-from __future__ import annotations
-
-import enum
-import typing
-import datetime
-import asyncio
-
-import pydantic
-import mirai
-
-from ..provider import entities as llm_entities
-from ..provider.requester import entities
-from ..provider.sysprompt import entities as sysprompt_entities
-from ..provider.tools import entities as tools_entities
-from ..platform import adapter as msadapter
-
-
-class LauncherTypes(enum.Enum):
-
-    PERSON = 'person'
-    """私聊"""
-
-    GROUP = 'group'
-    """群聊"""
-
-
-class Query(pydantic.BaseModel):
-    """一次请求的信息封装"""
-
-    query_id: int
-    """请求ID，添加进请求池时生成"""
-
-    launcher_type: LauncherTypes
-    """会话类型，platform设置"""
-
-    launcher_id: int
-    """会话ID，platform设置"""
-
-    sender_id: int
-    """发送者ID，platform设置"""
-
-    message_event: mirai.MessageEvent
-    """事件，platform收到的事件"""
-
-    message_chain: mirai.MessageChain
-    """消息链，platform收到的消息链"""
-
-    adapter: msadapter.MessageSourceAdapter
-    """适配器对象"""
-
-    session: typing.Optional[Session] = None
-    """会话对象，由前置处理器设置"""
-
-    messages: typing.Optional[list[llm_entities.Message]] = []
-    """历史消息列表，由前置处理器设置"""
-
-    prompt: typing.Optional[sysprompt_entities.Prompt] = None
-    """情景预设内容，由前置处理器设置"""
-
-    user_message: typing.Optional[llm_entities.Message] = None
-    """此次请求的用户消息对象，由前置处理器设置"""
-
-    use_model: typing.Optional[entities.LLMModelInfo] = None
-    """使用的模型，由前置处理器设置"""
-
-    use_funcs: typing.Optional[list[tools_entities.LLMFunction]] = None
-    """使用的函数，由前置处理器设置"""
-
-    resp_messages: typing.Optional[list[llm_entities.Message]] = []
-    """由provider生成的回复消息对象列表"""
-
-    resp_message_chain: typing.Optional[mirai.MessageChain] = None
-    """回复消息链，从resp_messages包装而得"""
-
-    class Config:
-        arbitrary_types_allowed = True
-
-
-class Conversation(pydantic.BaseModel):
-    """对话"""
-
-    prompt: sysprompt_entities.Prompt
-
-    messages: list[llm_entities.Message]
-
-    create_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
-
-    update_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
-
-    use_model: entities.LLMModelInfo
-
-    use_funcs: typing.Optional[list[tools_entities.LLMFunction]]
-
-
-class Session(pydantic.BaseModel):
-    """会话"""
-    launcher_type: LauncherTypes
-
-    launcher_id: int
-
-    sender_id: typing.Optional[int] = 0
-
-    use_prompt_name: typing.Optional[str] = 'default'
-
-    using_conversation: typing.Optional[Conversation] = None
-
-    conversations: typing.Optional[list[Conversation]] = []
-
-    create_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
-
-    update_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
-
-    semaphore: typing.Optional[asyncio.Semaphore] = None
-
-    class Config:
-        arbitrary_types_allowed = True

pkg/core/stages/build_app.py

@@ -1,95 +0,0 @@
-from __future__ import annotations
-
-import sys
-
-from .. import stage, app
-from ...utils import version, proxy, announce
-from ...audit.center import v2 as center_v2
-from ...audit import identifier
-from ...pipeline import pool, controller, stagemgr
-from ...plugin import manager as plugin_mgr
-from ...command import cmdmgr
-from ...provider.session import sessionmgr as llm_session_mgr
-from ...provider.requester import modelmgr as llm_model_mgr
-from ...provider.sysprompt import sysprompt as llm_prompt_mgr
-from ...provider.tools import toolmgr as llm_tool_mgr
-from ...platform import manager as im_mgr
-
-
-@stage.stage_class("BuildAppStage")
-class BuildAppStage(stage.BootingStage):
-    """构建应用阶段
-    """
-
-    async def run(self, ap: app.Application):
-        """启动
-        """
-
-        proxy_mgr = proxy.ProxyManager(ap)
-        await proxy_mgr.initialize()
-        ap.proxy_mgr = proxy_mgr
-        
-        ver_mgr = version.VersionManager(ap)
-        await ver_mgr.initialize()
-        ap.ver_mgr = ver_mgr
-
-        center_v2_api = center_v2.V2CenterAPI(
-            ap,
-            basic_info={
-                "host_id": identifier.identifier["host_id"],
-                "instance_id": identifier.identifier["instance_id"],
-                "semantic_version": ver_mgr.get_current_version(),
-                "platform": sys.platform,
-            },
-            runtime_info={
-                "admin_id": "{}".format(ap.system_cfg.data["admin-sessions"]),
-                "msg_source": str([
-                    adapter_cfg['adapter'] if 'adapter' in adapter_cfg else 'unknown'
-                    for adapter_cfg in ap.platform_cfg.data['platform-adapters'] if adapter_cfg['enable']
-                ]),
-            },
-        )
-        ap.ctr_mgr = center_v2_api
-
-        # 发送公告
-        ann_mgr = announce.AnnouncementManager(ap)
-        await ann_mgr.show_announcements()
-
-        ap.query_pool = pool.QueryPool()
-
-        await ap.ver_mgr.show_version_update()
-
-        plugin_mgr_inst = plugin_mgr.PluginManager(ap)
-        await plugin_mgr_inst.initialize()
-        ap.plugin_mgr = plugin_mgr_inst
-
-        cmd_mgr_inst = cmdmgr.CommandManager(ap)
-        await cmd_mgr_inst.initialize()
-        ap.cmd_mgr = cmd_mgr_inst
-
-        llm_model_mgr_inst = llm_model_mgr.ModelManager(ap)
-        await llm_model_mgr_inst.initialize()
-        ap.model_mgr = llm_model_mgr_inst
-
-        llm_session_mgr_inst = llm_session_mgr.SessionManager(ap)
-        await llm_session_mgr_inst.initialize()
-        ap.sess_mgr = llm_session_mgr_inst
-
-        llm_prompt_mgr_inst = llm_prompt_mgr.PromptManager(ap)
-        await llm_prompt_mgr_inst.initialize()
-        ap.prompt_mgr = llm_prompt_mgr_inst
-
-        llm_tool_mgr_inst = llm_tool_mgr.ToolManager(ap)
-        await llm_tool_mgr_inst.initialize()
-        ap.tool_mgr = llm_tool_mgr_inst
-
-        im_mgr_inst = im_mgr.PlatformManager(ap=ap)
-        await im_mgr_inst.initialize()
-        ap.im_mgr = im_mgr_inst
-
-        stage_mgr = stagemgr.StageManager(ap)
-        await stage_mgr.initialize()
-        ap.stage_mgr = stage_mgr
-
-        ctrl = controller.Controller(ap)
-        ap.ctrl = ctrl

pkg/core/stages/load_config.py

@@ -1,19 +0,0 @@
-from __future__ import annotations
-
-from .. import stage, app
-from ..bootutils import config
-
-
-@stage.stage_class("LoadConfigStage")
-class LoadConfigStage(stage.BootingStage):
-    """加载配置文件阶段
-    """
-
-    async def run(self, ap: app.Application):
-        """启动
-        """
-        ap.command_cfg = await config.load_json_config("data/config/command.json", "templates/command.json")
-        ap.pipeline_cfg = await config.load_json_config("data/config/pipeline.json", "templates/pipeline.json")
-        ap.platform_cfg = await config.load_json_config("data/config/platform.json", "templates/platform.json")
-        ap.provider_cfg = await config.load_json_config("data/config/provider.json", "templates/provider.json")
-        ap.system_cfg = await config.load_json_config("data/config/system.json", "templates/system.json")

pkg/core/stages/setup_logger.py

@@ -1,15 +0,0 @@
-from __future__ import annotations
-
-from .. import stage, app
-from ..bootutils import log
-
-
-@stage.stage_class("SetupLoggerStage")
-class SetupLoggerStage(stage.BootingStage):
-    """设置日志器阶段
-    """
-
-    async def run(self, ap: app.Application):
-        """启动
-        """
-        ap.logger = await log.init_logging()

pkg/pipeline/bansess/bansess.py

@@ -1,45 +0,0 @@
-from __future__ import annotations
-import re
-
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...config import manager as cfg_mgr
-
-
-@stage.stage_class('BanSessionCheckStage')
-class BanSessionCheckStage(stage.PipelineStage):
-
-    async def initialize(self):
-        pass
-
-    async def process(
-        self,
-        query: core_entities.Query,
-        stage_inst_name: str
-    ) -> entities.StageProcessResult:
-        
-        found = False
-
-        mode = self.ap.pipeline_cfg.data['access-control']['mode']
-
-        sess_list = self.ap.pipeline_cfg.data['access-control'][mode]
-
-        if (query.launcher_type == 'group' and 'group_*' in sess_list) \
-            or (query.launcher_type == 'person' and 'person_*' in sess_list):
-            found = True
-        else:
-            for sess in sess_list:
-                if sess == f"{query.launcher_type}_{query.launcher_id}":
-                    found = True
-                    break
-
-        result = False
-
-        if mode == 'blacklist':
-            result = found
-
-        return entities.StageProcessResult(
-            result_type=entities.ResultType.CONTINUE if not result else entities.ResultType.INTERRUPT,
-            new_query=query,
-            debug_notice=f'根据访问控制忽略消息: {query.launcher_type}_{query.launcher_id}' if result else ''
-        )

pkg/pipeline/cntfilter/cntfilter.py

@@ -1,133 +0,0 @@
-from __future__ import annotations
-
-import mirai
-
-from ...core import app
-
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...config import manager as cfg_mgr
-from . import filter, entities as filter_entities
-from .filters import cntignore, banwords, baiduexamine
-
-
-@stage.stage_class('PostContentFilterStage')
-@stage.stage_class('PreContentFilterStage')
-class ContentFilterStage(stage.PipelineStage):
-
-    filter_chain: list[filter.ContentFilter]
-
-    def __init__(self, ap: app.Application):
-        self.filter_chain = []
-        super().__init__(ap)
-
-    async def initialize(self):
-        self.filter_chain.append(cntignore.ContentIgnore(self.ap))
-
-        if self.ap.pipeline_cfg.data['check-sensitive-words']:
-            self.filter_chain.append(banwords.BanWordFilter(self.ap))
-        
-        if self.ap.pipeline_cfg.data['baidu-cloud-examine']['enable']:
-            self.filter_chain.append(baiduexamine.BaiduCloudExamine(self.ap))
-
-        for filter in self.filter_chain:
-            await filter.initialize()
-
-    async def _pre_process(
-        self,
-        message: str,
-        query: core_entities.Query,
-    ) -> entities.StageProcessResult:
-        """请求llm前处理消息
-        只要有一个不通过就不放行，只放行 PASS 的消息
-        """
-        if not self.ap.pipeline_cfg.data['income-msg-check']:
-            return entities.StageProcessResult(
-                result_type=entities.ResultType.CONTINUE,
-                new_query=query
-            )
-        else:
-            for filter in self.filter_chain:
-                if filter_entities.EnableStage.PRE in filter.enable_stages:
-                    result = await filter.process(message)
-
-                    if result.level in [
-                        filter_entities.ResultLevel.BLOCK,
-                        filter_entities.ResultLevel.MASKED
-                    ]:
-                        return entities.StageProcessResult(
-                            result_type=entities.ResultType.INTERRUPT,
-                            new_query=query,
-                            user_notice=result.user_notice,
-                            console_notice=result.console_notice
-                        )
-                    elif result.level == filter_entities.ResultLevel.PASS:  # 传到下一个
-                        message = result.replacement
-            
-            query.message_chain = mirai.MessageChain(
-                mirai.Plain(message)
-            )
-
-            return entities.StageProcessResult(
-                result_type=entities.ResultType.CONTINUE,
-                new_query=query
-            )
-        
-    async def _post_process(
-        self,
-        message: str,
-        query: core_entities.Query,
-    ) -> entities.StageProcessResult:
-        """请求llm后处理响应
-        只要是 PASS 或者 MASKED 的就通过此 filter，将其 replacement 设置为message，进入下一个 filter
-        """
-        if message is None:
-            return entities.StageProcessResult(
-                result_type=entities.ResultType.CONTINUE,
-                new_query=query
-            )
-        else:
-            message = message.strip()
-            for filter in self.filter_chain:
-                if filter_entities.EnableStage.POST in filter.enable_stages:
-                    result = await filter.process(message)
-
-                    if result.level == filter_entities.ResultLevel.BLOCK:
-                        return entities.StageProcessResult(
-                            result_type=entities.ResultType.INTERRUPT,
-                            new_query=query,
-                            user_notice=result.user_notice,
-                            console_notice=result.console_notice
-                        )
-                    elif result.level in [
-                        filter_entities.ResultLevel.PASS,
-                        filter_entities.ResultLevel.MASKED
-                    ]:
-                        message = result.replacement
-
-            query.resp_messages[-1].content = message
-
-            return entities.StageProcessResult(
-                result_type=entities.ResultType.CONTINUE,
-                new_query=query
-            )
-
-    async def process(
-        self,
-        query: core_entities.Query,
-        stage_inst_name: str
-    ) -> entities.StageProcessResult:
-        """处理
-        """
-        if stage_inst_name == 'PreContentFilterStage':
-            return await self._pre_process(
-                str(query.message_chain).strip(),
-                query
-            )
-        elif stage_inst_name == 'PostContentFilterStage':
-            return await self._post_process(
-                query.resp_messages[-1].content,
-                query
-            )
-        else:
-            raise ValueError(f'未知的 stage_inst_name: {stage_inst_name}')

pkg/pipeline/cntfilter/filter.py

@@ -1,34 +0,0 @@
-# 内容过滤器的抽象类
-from __future__ import annotations
-import abc
-
-from ...core import app
-from . import entities
-
-
-class ContentFilter(metaclass=abc.ABCMeta):
-
-    ap: app.Application
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-
-    @property
-    def enable_stages(self):
-        """启用的阶段
-        """
-        return [
-            entities.EnableStage.PRE,
-            entities.EnableStage.POST
-        ]
-
-    async def initialize(self):
-        """初始化过滤器
-        """
-        pass
-
-    @abc.abstractmethod
-    async def process(self, message: str) -> entities.FilterResult:
-        """处理消息
-        """
-        raise NotImplementedError

pkg/pipeline/controller.py

@@ -1,161 +0,0 @@
-from __future__ import annotations
-
-import asyncio
-import typing
-import traceback
-
-from ..core import app, entities
-from . import entities as pipeline_entities
-from ..plugin import events
-
-
-class Controller:
-    """总控制器
-    """
-    ap: app.Application
-
-    semaphore: asyncio.Semaphore = None
-    """请求并发控制信号量"""
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-        self.semaphore = asyncio.Semaphore(self.ap.system_cfg.data['pipeline-concurrency'])
-
-    async def consumer(self):
-        """事件处理循环
-        """
-        try:
-            while True:
-                selected_query: entities.Query = None
-
-                # 取请求
-                async with self.ap.query_pool:
-                    queries: list[entities.Query] = self.ap.query_pool.queries
-
-                    for query in queries:
-                        session = await self.ap.sess_mgr.get_session(query)
-                        self.ap.logger.debug(f"Checking query {query} session {session}")
-
-                        if not session.semaphore.locked():
-                            selected_query = query
-                            await session.semaphore.acquire()
-
-                            break
-
-                    if selected_query:  # 找到了
-                        queries.remove(selected_query)
-                    else:  # 没找到 说明：没有请求 或者 所有query对应的session都已达到并发上限
-                        await self.ap.query_pool.condition.wait()
-                        continue
-
-                if selected_query:
-                    async def _process_query(selected_query):
-                        async with self.semaphore:  # 总并发上限
-                            await self.process_query(selected_query)
-                        
-                        async with self.ap.query_pool:
-                            (await self.ap.sess_mgr.get_session(selected_query)).semaphore.release()
-                            # 通知其他协程，有新的请求可以处理了
-                            self.ap.query_pool.condition.notify_all()
-                    
-                    asyncio.create_task(_process_query(selected_query))
-        except Exception as e:
-            # traceback.print_exc()
-            self.ap.logger.error(f"控制器循环出错: {e}")
-            self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
-
-    async def _check_output(self, query: entities.Query, result: pipeline_entities.StageProcessResult):
-        """检查输出
-        """
-        if result.user_notice:
-            await self.ap.im_mgr.send(
-                query.message_event,
-                result.user_notice,
-                query.adapter
-            )
-        if result.debug_notice:
-            self.ap.logger.debug(result.debug_notice)
-        if result.console_notice:
-            self.ap.logger.info(result.console_notice)
-        if result.error_notice:
-            self.ap.logger.error(result.error_notice)
-
-    async def _execute_from_stage(
-        self,
-        stage_index: int,
-        query: entities.Query,
-    ):
-        """从指定阶段开始执行
-
-        如何看懂这里为什么这么写？
-        去问 GPT-4:
-            Q1: 现在有一个责任链，其中有多个stage，query对象在其中传递，stage.process可能返回Result也有可能返回typing.AsyncGenerator[Result, None]，
-                如果返回的是生成器，需要挨个生成result，检查是否result中是否要求继续，如果要求继续就进行下一个stage。如果此次生成器产生的result处理完了，就继续生成下一个result，
-                调用后续的stage，直到该生成器全部生成完。责任链中可能有多个stage会返回生成器
-            Q2: 不是这样的，你可能理解有误。如果我们责任链上有这些Stage：
-
-                A B C D E F G
-
-                如果所有的stage都返回Result，且所有Result都要求继续，那么执行顺序是：
-
-                A B C D E F G
-
-                现在假设C返回的是AsyncGenerator，那么执行顺序是：
-
-                A B C D E F G C D E F G C D E F G ...
-            Q3: 但是如果不止一个stage会返回生成器呢？
-        """
-        i = stage_index
-
-        while i < len(self.ap.stage_mgr.stage_containers):
-            stage_container = self.ap.stage_mgr.stage_containers[i]
-            
-            result = stage_container.inst.process(query, stage_container.inst_name)
-
-            if isinstance(result, typing.Coroutine):
-                result = await result
-
-            if isinstance(result, pipeline_entities.StageProcessResult):  # 直接返回结果
-                self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} res {result}")
-                await self._check_output(query, result)
-
-                if result.result_type == pipeline_entities.ResultType.INTERRUPT:
-                    self.ap.logger.debug(f"Stage {stage_container.inst_name} interrupted query {query}")
-                    break
-                elif result.result_type == pipeline_entities.ResultType.CONTINUE:
-                    query = result.new_query
-            elif isinstance(result, typing.AsyncGenerator):  # 生成器
-                self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} gen")
-
-                async for sub_result in result:
-                    self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} res {sub_result}")
-                    await self._check_output(query, sub_result)
-
-                    if sub_result.result_type == pipeline_entities.ResultType.INTERRUPT:
-                        self.ap.logger.debug(f"Stage {stage_container.inst_name} interrupted query {query}")
-                        break
-                    elif sub_result.result_type == pipeline_entities.ResultType.CONTINUE:
-                        query = sub_result.new_query
-                        await self._execute_from_stage(i + 1, query)
-                break
-
-            i += 1
-
-    async def process_query(self, query: entities.Query):
-        """处理请求
-        """
-        self.ap.logger.debug(f"Processing query {query}")
-
-        try:
-            await self._execute_from_stage(0, query)
-        except Exception as e:
-            self.ap.logger.error(f"处理请求时出错 query_id={query.query_id}: {e}")
-            self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
-            # traceback.print_exc()
-        finally:
-            self.ap.logger.debug(f"Query {query} processed")
-
-    async def run(self):
-        """运行控制器
-        """
-        await self.consumer()

pkg/pipeline/longtext/longtext.py

@@ -1,59 +0,0 @@
-from __future__ import annotations
-import os
-import traceback
-
-from PIL import Image, ImageDraw, ImageFont
-from mirai.models.message import MessageComponent, Plain, MessageChain
-
-from ...core import app
-from . import strategy
-from .strategies import image, forward
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...config import manager as cfg_mgr
-
-
-@stage.stage_class("LongTextProcessStage")
-class LongTextProcessStage(stage.PipelineStage):
-
-    strategy_impl: strategy.LongTextStrategy
-
-    async def initialize(self):
-        config = self.ap.platform_cfg.data['long-text-process']
-        if config['strategy'] == 'image':
-            use_font = config['font-path']
-            try:
-                # 检查是否存在
-                if not os.path.exists(use_font):
-                    # 若是windows系统，使用微软雅黑
-                    if os.name == "nt":
-                        use_font = "C:/Windows/Fonts/msyh.ttc"
-                        if not os.path.exists(use_font):
-                            self.ap.logger.warn("未找到字体文件，且无法使用Windows自带字体，更换为转发消息组件以发送长消息，您可以在config.py中调整相关设置。")
-                            config['blob_message_strategy'] = "forward"
-                        else:
-                            self.ap.logger.info("使用Windows自带字体：" + use_font)
-                            config['font-path'] = use_font
-                    else:
-                        self.ap.logger.warn("未找到字体文件，且无法使用系统自带字体，更换为转发消息组件以发送长消息，您可以在config.py中调整相关设置。")
-
-                        self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
-            except:
-                traceback.print_exc()
-                self.ap.logger.error("加载字体文件失败({})，更换为转发消息组件以发送长消息，您可以在config.py中调整相关设置。".format(use_font))
-
-                self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
-        
-        if config['strategy'] == 'image':
-            self.strategy_impl = image.Text2ImageStrategy(self.ap)
-        elif config['strategy'] == 'forward':
-            self.strategy_impl = forward.ForwardComponentStrategy(self.ap)
-        await self.strategy_impl.initialize()
-    
-    async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
-        if len(str(query.resp_message_chain)) > self.ap.platform_cfg.data['long-text-process']['threshold']:
-            query.resp_message_chain = MessageChain(await self.strategy_impl.process(str(query.resp_message_chain), query))
-        return entities.StageProcessResult(
-            result_type=entities.ResultType.CONTINUE,
-            new_query=query
-        )

pkg/pipeline/longtext/strategies/forward.py

@@ -1,63 +0,0 @@
-# 转发消息组件
-from __future__ import annotations
-import typing
-
-from mirai.models import MessageChain
-from mirai.models.message import MessageComponent, ForwardMessageNode
-from mirai.models.base import MiraiBaseModel
-
-from .. import strategy as strategy_model
-from ....core import entities as core_entities
-
-
-class ForwardMessageDiaplay(MiraiBaseModel):
-    title: str = "群聊的聊天记录"
-    brief: str = "[聊天记录]"
-    source: str = "聊天记录"
-    preview: typing.List[str] = []
-    summary: str = "查看x条转发消息"
-
-
-class Forward(MessageComponent):
-    """合并转发。"""
-    type: str = "Forward"
-    """消息组件类型。"""
-    display: ForwardMessageDiaplay
-    """显示信息"""
-    node_list: typing.List[ForwardMessageNode]
-    """转发消息节点列表。"""
-    def __init__(self, *args, **kwargs):
-        if len(args) == 1:
-            self.node_list = args[0]
-            super().__init__(**kwargs)
-        super().__init__(*args, **kwargs)
-
-    def __str__(self):
-        return '[聊天记录]'
-
-
-class ForwardComponentStrategy(strategy_model.LongTextStrategy):
-
-    async def process(self, message: str, query: core_entities.Query) -> list[MessageComponent]:
-        display = ForwardMessageDiaplay(
-            title="群聊的聊天记录",
-            brief="[聊天记录]",
-            source="聊天记录",
-            preview=["QQ用户: "+message],
-            summary="查看1条转发消息"
-        )
-
-        node_list = [
-            ForwardMessageNode(
-                sender_id=query.adapter.bot_account_id,
-                sender_name='QQ用户',
-                message_chain=MessageChain([message])
-            )
-        ]
-
-        forward = Forward(
-            display=display,
-            node_list=node_list
-        )
-
-        return [forward]

pkg/pipeline/longtext/strategy.py

@@ -1,23 +0,0 @@
-from __future__ import annotations
-import abc
-import typing
-
-import mirai
-from mirai.models.message import MessageComponent
-
-from ...core import app
-from ...core import entities as core_entities
-
-
-class LongTextStrategy(metaclass=abc.ABCMeta):
-    ap: app.Application
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-    
-    async def initialize(self):
-        pass
-    
-    @abc.abstractmethod
-    async def process(self, message: str, query: core_entities.Query) -> list[MessageComponent]:
-        return []

pkg/pipeline/pool.py

@@ -1,57 +0,0 @@
-from __future__ import annotations
-
-import asyncio
-
-import mirai
-
-from ..core import entities
-from ..platform import adapter as msadapter
-
-
-class QueryPool:
-
-    query_id_counter: int = 0
-
-    pool_lock: asyncio.Lock
-
-    queries: list[entities.Query]
-
-    condition: asyncio.Condition
-
-    def __init__(self):
-        self.query_id_counter = 0
-        self.pool_lock = asyncio.Lock()
-        self.queries = []
-        self.condition = asyncio.Condition(self.pool_lock)
-
-    async def add_query(
-        self,
-        launcher_type: entities.LauncherTypes,
-        launcher_id: int,
-        sender_id: int,
-        message_event: mirai.MessageEvent,
-        message_chain: mirai.MessageChain,
-        adapter: msadapter.MessageSourceAdapter
-    ) -> entities.Query:
-        async with self.condition:
-            query = entities.Query(
-                query_id=self.query_id_counter,
-                launcher_type=launcher_type,
-                launcher_id=launcher_id,
-                sender_id=sender_id,
-                message_event=message_event,
-                message_chain=message_chain,
-                resp_messages=[],
-                resp_message_chain=None,
-                adapter=adapter
-            )
-            self.queries.append(query)
-            self.query_id_counter += 1
-            self.condition.notify_all()
-
-    async def __aenter__(self):
-        await self.pool_lock.acquire()
-        return self
-
-    async def __aexit__(self, exc_type, exc_val, exc_tb):
-        self.pool_lock.release()

pkg/pipeline/preproc/preproc.py

@@ -1,79 +0,0 @@
-from __future__ import annotations
-
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...provider import entities as llm_entities
-from ...plugin import events
-
-
-@stage.stage_class("PreProcessor")
-class PreProcessor(stage.PipelineStage):
-    """预处理器
-    """
-
-    async def process(
-        self,
-        query: core_entities.Query,
-        stage_inst_name: str,
-    ) -> entities.StageProcessResult:
-        """处理
-        """
-        session = await self.ap.sess_mgr.get_session(query)
-
-        conversation = await self.ap.sess_mgr.get_conversation(session)
-
-        # 从会话取出消息和情景预设到query
-        query.session = session
-        query.prompt = conversation.prompt.copy()
-        query.messages = conversation.messages.copy()
-
-        query.user_message = llm_entities.Message(
-            role='user',
-            content=str(query.message_chain).strip()
-        )
-
-        query.use_model = conversation.use_model
-
-        query.use_funcs = conversation.use_funcs
-
-        # =========== 触发事件 PromptPreProcessing
-        session = query.session
-
-        event_ctx = await self.ap.plugin_mgr.emit_event(
-            event=events.PromptPreProcessing(
-                session_name=f'{session.launcher_type.value}_{session.launcher_id}',
-                default_prompt=query.prompt.messages,
-                prompt=query.messages,
-                query=query
-            )
-        )
-
-        query.prompt.messages = event_ctx.event.default_prompt
-        query.messages = event_ctx.event.prompt
-
-        # 根据模型max_tokens剪裁
-        max_tokens = min(query.use_model.max_tokens, self.ap.pipeline_cfg.data['submit-messages-tokens'])
-
-        test_messages = query.prompt.messages + query.messages + [query.user_message]
-
-        while await query.use_model.tokenizer.count_token(test_messages, query.use_model) > max_tokens:
-            # 前文都pop完了，还是大于max_tokens，由于prompt和user_messages不能删减，报错
-            if len(query.prompt.messages) == 0:
-                return entities.StageProcessResult(
-                    result_type=entities.ResultType.INTERRUPT,
-                    new_query=query,
-                    user_notice='输入内容过长，请减少情景预设或者输入内容长度',
-                    console_notice='输入内容过长，请减少情景预设或者输入内容长度，或者增大配置文件中的 submit-messages-tokens 项（但不能超过所用模型最大tokens数）'
-                )
-
-            query.messages.pop(0) # pop第一个肯定是role=user的
-            # 继续pop到第二个role=user前一个
-            while len(query.messages) > 0 and query.messages[0].role != 'user':
-                query.messages.pop(0)
-
-            test_messages = query.prompt.messages + query.messages + [query.user_message]
-
-        return entities.StageProcessResult(
-            result_type=entities.ResultType.CONTINUE,
-            new_query=query
-        )

pkg/pipeline/process/handlers/chat.py

@@ -1,113 +0,0 @@
-from __future__ import annotations
-
-import typing
-import time
-import traceback
-
-import mirai
-
-from .. import handler
-from ... import entities
-from ....core import entities as core_entities
-from ....provider import entities as llm_entities
-from ....plugin import events
-
-
-class ChatMessageHandler(handler.MessageHandler):
-
-    async def handle(
-        self,
-        query: core_entities.Query,
-    ) -> typing.AsyncGenerator[entities.StageProcessResult, None]:
-        """处理
-        """
-        # 取session
-        # 取conversation
-        # 调API
-        #   生成器
-
-        # 触发插件事件
-        event_class = events.PersonNormalMessageReceived if query.launcher_type == core_entities.LauncherTypes.PERSON else events.GroupNormalMessageReceived
-
-        event_ctx = await self.ap.plugin_mgr.emit_event(
-            event=event_class(
-                launcher_type=query.launcher_type.value,
-                launcher_id=query.launcher_id,
-                sender_id=query.sender_id,
-                text_message=str(query.message_chain),
-                query=query
-            )
-        )
-
-        if event_ctx.is_prevented_default():
-            if event_ctx.event.reply is not None:
-                query.resp_message_chain = mirai.MessageChain(event_ctx.event.reply)
-
-                yield entities.StageProcessResult(
-                    result_type=entities.ResultType.CONTINUE,
-                    new_query=query
-                )
-            else:
-                yield entities.StageProcessResult(
-                    result_type=entities.ResultType.INTERRUPT,
-                    new_query=query
-                )
-        else:
-
-            if not self.ap.provider_cfg.data['enable-chat']:
-                yield entities.StageProcessResult(
-                    result_type=entities.ResultType.INTERRUPT,
-                    new_query=query,
-                )
-
-            if event_ctx.event.alter is not None:
-                query.message_chain = mirai.MessageChain([
-                    mirai.Plain(event_ctx.event.alter)
-                ])
-
-            query.messages.append(
-                query.user_message
-            )
-
-            text_length = 0
-
-            start_time = time.time()
-
-            try:
-
-                async for result in query.use_model.requester.request(query):
-                    query.resp_messages.append(result)
-
-                    self.ap.logger.info(f'对话({query.query_id})响应: {self.cut_str(result.readable_str())}')
-
-                    if result.content is not None:
-                        text_length += len(result.content)
-
-                    yield entities.StageProcessResult(
-                        result_type=entities.ResultType.CONTINUE,
-                        new_query=query
-                    )
-            except Exception as e:
-                
-                self.ap.logger.error(f'对话({query.query_id})请求失败: {str(e)}')
-
-                yield entities.StageProcessResult(
-                    result_type=entities.ResultType.INTERRUPT,
-                    new_query=query,
-                    user_notice='请求失败' if self.ap.platform_cfg.data['hide-exception-info'] else f'{e}',
-                    error_notice=f'{e}',
-                    debug_notice=traceback.format_exc()
-                )
-            finally:
-                query.session.using_conversation.messages.append(query.user_message)
-                query.session.using_conversation.messages.extend(query.resp_messages)
-
-                await self.ap.ctr_mgr.usage.post_query_record(
-                    session_type=query.session.launcher_type.value,
-                    session_id=str(query.session.launcher_id),
-                    query_ability_provider="QChatGPT.Chat",
-                    usage=text_length,
-                    model_name=query.use_model.name,
-                    response_seconds=int(time.time() - start_time),
-                    retry_times=-1,
-                )

pkg/pipeline/process/handlers/command.py

@@ -1,121 +0,0 @@
-from __future__ import annotations
-import typing
-
-import mirai
-
-from .. import handler
-from ... import entities
-from ....core import entities as core_entities
-from ....provider import entities as llm_entities
-from ....plugin import events
-
-
-class CommandHandler(handler.MessageHandler):
-
-    async def handle(
-        self,
-        query: core_entities.Query,
-    ) -> typing.AsyncGenerator[entities.StageProcessResult, None]:
-        """处理
-        """
-
-        event_class = events.PersonCommandSent if query.launcher_type == core_entities.LauncherTypes.PERSON else events.GroupCommandSent
-
-
-        privilege = 1
-        
-        if f'{query.launcher_type.value}_{query.launcher_id}' in self.ap.system_cfg.data['admin-sessions']:
-            privilege = 2
-
-        spt = str(query.message_chain).strip().split(' ')
-
-        event_ctx = await self.ap.plugin_mgr.emit_event(
-            event=event_class(
-                launcher_type=query.launcher_type.value,
-                launcher_id=query.launcher_id,
-                sender_id=query.sender_id,
-                command=spt[0],
-                params=spt[1:] if len(spt) > 1 else [],
-                text_message=str(query.message_chain),
-                is_admin=(privilege==2),
-                query=query
-            )
-        )
-
-        if event_ctx.is_prevented_default():
-
-            if event_ctx.event.reply is not None:
-                mc = mirai.MessageChain(event_ctx.event.reply)
-
-                query.resp_messages.append(
-                    llm_entities.Message(
-                        role='command',
-                        content=str(mc),
-                    )
-                )
-
-                yield entities.StageProcessResult(
-                    result_type=entities.ResultType.CONTINUE,
-                    new_query=query
-                )
-            else:
-                yield entities.StageProcessResult(
-                    result_type=entities.ResultType.INTERRUPT,
-                    new_query=query
-                )
-
-        else:
-
-            if event_ctx.event.alter is not None:
-                query.message_chain = mirai.MessageChain([
-                    mirai.Plain(event_ctx.event.alter)
-                ])
-
-            session = await self.ap.sess_mgr.get_session(query)
-
-            command_text = str(query.message_chain).strip()[1:]
-
-            async for ret in self.ap.cmd_mgr.execute(
-                command_text=command_text,
-                query=query,
-                session=session
-            ):
-                if ret.error is not None:
-                    # query.resp_message_chain = mirai.MessageChain([
-                    #     mirai.Plain(str(ret.error))
-                    # ])
-                    query.resp_messages.append(
-                        llm_entities.Message(
-                            role='command',
-                            content=str(ret.error),
-                        )
-                    )
-
-                    self.ap.logger.info(f'命令({query.query_id})报错: {self.cut_str(str(ret.error))}')
-
-                    yield entities.StageProcessResult(
-                        result_type=entities.ResultType.CONTINUE,
-                        new_query=query
-                    )
-                elif ret.text is not None:
-                    # query.resp_message_chain = mirai.MessageChain([
-                    #     mirai.Plain(ret.text)
-                    # ])
-                    query.resp_messages.append(
-                        llm_entities.Message(
-                            role='command',
-                            content=ret.text,
-                        )
-                    )
-
-                    self.ap.logger.info(f'命令返回: {self.cut_str(ret.text)}')
-
-                    yield entities.StageProcessResult(
-                        result_type=entities.ResultType.CONTINUE,
-                        new_query=query
-                    )
-                else:
-                    yield entities.StageProcessResult(
-                        result_type=entities.ResultType.INTERRUPT,
-                        new_query=query
-                    )

pkg/pipeline/process/process.py

@@ -1,45 +0,0 @@
-from __future__ import annotations
-
-from ...core import app, entities as core_entities
-from . import handler
-from .handlers import chat, command
-from .. import entities
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...config import manager as cfg_mgr
-
-
-@stage.stage_class("MessageProcessor")
-class Processor(stage.PipelineStage):
-
-    cmd_handler: handler.MessageHandler
-
-    chat_handler: handler.MessageHandler
-
-    async def initialize(self):
-        self.cmd_handler = command.CommandHandler(self.ap)
-        self.chat_handler = chat.ChatMessageHandler(self.ap)
-
-        await self.cmd_handler.initialize()
-        await self.chat_handler.initialize()
-
-    async def process(
-        self,
-        query: core_entities.Query,
-        stage_inst_name: str,
-    ) -> entities.StageProcessResult:
-        """处理
-        """
-        message_text = str(query.message_chain).strip()
-
-        self.ap.logger.info(f"处理 {query.launcher_type.value}_{query.launcher_id} 的请求({query.query_id}): {message_text}")
-
-        async def generator():
-            if message_text.startswith('!') or message_text.startswith('！'):
-                async for result in self.cmd_handler.handle(query):
-                    yield result
-            else:
-                async for result in self.chat_handler.handle(query):
-                    yield result
-        
-        return generator()

pkg/pipeline/ratelimit/algo.py

@@ -1,24 +0,0 @@
-from __future__ import annotations
-import abc
-
-from ...core import app
-
-
-class ReteLimitAlgo(metaclass=abc.ABCMeta):
-    
-    ap: app.Application
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-
-    async def initialize(self):
-        pass
-
-    @abc.abstractmethod
-    async def require_access(self, launcher_type: str, launcher_id: int) -> bool:
-        raise NotImplementedError
-    
-    @abc.abstractmethod
-    async def release_access(self, launcher_type: str, launcher_id: int):
-        raise NotImplementedError
- 

pkg/pipeline/ratelimit/ratelimit.py

@@ -1,55 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import entities, stagemgr, stage
-from . import algo
-from .algos import fixedwin
-from ...core import entities as core_entities
-
-
-@stage.stage_class("RequireRateLimitOccupancy")
-@stage.stage_class("ReleaseRateLimitOccupancy")
-class RateLimit(stage.PipelineStage):
-
-    algo: algo.ReteLimitAlgo
-
-    async def initialize(self):
-        self.algo = fixedwin.FixedWindowAlgo(self.ap)
-        await self.algo.initialize()
-
-    async def process(
-        self,
-        query: core_entities.Query,
-        stage_inst_name: str,
-    ) -> typing.Union[
-        entities.StageProcessResult,
-        typing.AsyncGenerator[entities.StageProcessResult, None],
-    ]:
-        """处理
-        """
-        if stage_inst_name == "RequireRateLimitOccupancy":
-            if await self.algo.require_access(
-                query.launcher_type.value,
-                query.launcher_id,
-            ):
-                return entities.StageProcessResult(
-                    result_type=entities.ResultType.CONTINUE,
-                    new_query=query,
-                )
-            else:
-                return entities.StageProcessResult(
-                    result_type=entities.ResultType.INTERRUPT,
-                    new_query=query,
-                    console_notice=f"根据限速规则忽略 {query.launcher_type.value}:{query.launcher_id} 消息",
-                    user_notice=f"请求数超过限速器设定值，已丢弃本消息。"
-                )
-        elif stage_inst_name == "ReleaseRateLimitOccupancy":
-            await self.algo.release_access(
-                query.launcher_type,
-                query.launcher_id,
-            )
-            return entities.StageProcessResult(
-                result_type=entities.ResultType.CONTINUE,
-                new_query=query,
-            )

pkg/pipeline/respback/respback.py

@@ -1,41 +0,0 @@
-from __future__ import annotations
-
-import random
-import asyncio
-
-import mirai
-
-from ...core import app
-
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...config import manager as cfg_mgr
-
-
-@stage.stage_class("SendResponseBackStage")
-class SendResponseBackStage(stage.PipelineStage):
-    """发送响应消息
-    """
-
-    async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
-        """处理
-        """
-        random_delay = random.uniform(*self.ap.platform_cfg.data['force-delay'])
-
-        self.ap.logger.debug(
-            "根据规则强制延迟回复: %s s",
-            random_delay
-        )
-
-        await asyncio.sleep(random_delay)
-
-        await self.ap.im_mgr.send(
-            query.message_event,
-            query.resp_message_chain,
-            adapter=query.adapter
-        )
-
-        return entities.StageProcessResult(
-            result_type=entities.ResultType.CONTINUE,
-            new_query=query
-        )

pkg/pipeline/resprule/entities.py

@@ -1,9 +0,0 @@
-import pydantic
-import mirai
-
-
-class RuleJudgeResult(pydantic.BaseModel):
-
-    matching: bool = False
-
-    replacement: mirai.MessageChain = None

pkg/pipeline/resprule/resprule.py

@@ -1,62 +0,0 @@
-from __future__ import annotations
-
-import mirai
-
-from ...core import app
-from . import entities as rule_entities, rule
-from .rules import atbot, prefix, regexp, random
-
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...config import manager as cfg_mgr
-
-
-@stage.stage_class("GroupRespondRuleCheckStage")
-class GroupRespondRuleCheckStage(stage.PipelineStage):
-    """群组响应规则检查器
-    """
-
-    rule_matchers: list[rule.GroupRespondRule]
-
-    async def initialize(self):
-        """初始化检查器
-        """
-        self.rule_matchers = [
-            atbot.AtBotRule(self.ap),
-            prefix.PrefixRule(self.ap),
-            regexp.RegExpRule(self.ap),
-            random.RandomRespRule(self.ap),
-        ]
-
-        for rule_matcher in self.rule_matchers:
-            await rule_matcher.initialize()
-
-    async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
-        
-        if query.launcher_type.value != 'group':
-            return entities.StageProcessResult(
-                result_type=entities.ResultType.CONTINUE,
-                new_query=query
-            )
-
-        rules = self.ap.pipeline_cfg.data['respond-rules']
-
-        use_rule = rules['default']
-
-        if str(query.launcher_id) in use_rule:
-            use_rule = use_rule[str(query.launcher_id)]
-
-        for rule_matcher in self.rule_matchers:  # 任意一个匹配就放行
-            res = await rule_matcher.match(str(query.message_chain), query.message_chain, use_rule, query)
-            if res.matching:
-                query.message_chain = res.replacement
-
-                return entities.StageProcessResult(
-                    result_type=entities.ResultType.CONTINUE,
-                    new_query=query,
-                )
-        
-        return entities.StageProcessResult(
-            result_type=entities.ResultType.INTERRUPT,
-            new_query=query
-        )

pkg/pipeline/resprule/rule.py

@@ -1,32 +0,0 @@
-from __future__ import annotations
-import abc
-
-import mirai
-
-from ...core import app, entities as core_entities
-from . import entities
-
-
-class GroupRespondRule(metaclass=abc.ABCMeta):
-    """群组响应规则的抽象类
-    """
-
-    ap: app.Application
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-
-    async def initialize(self):
-        pass
-
-    @abc.abstractmethod
-    async def match(
-        self,
-        message_text: str,
-        message_chain: mirai.MessageChain,
-        rule_dict: dict,
-        query: core_entities.Query
-    ) -> entities.RuleJudgeResult:
-        """判断消息是否匹配规则
-        """
-        raise NotImplementedError

pkg/pipeline/resprule/rules/atbot.py

@@ -1,30 +0,0 @@
-from __future__ import annotations
-
-import mirai
-
-from .. import rule as rule_model
-from .. import entities
-from ....core import entities as core_entities
-
-
-class AtBotRule(rule_model.GroupRespondRule):
-
-    async def match(
-        self,
-        message_text: str,
-        message_chain: mirai.MessageChain,
-        rule_dict: dict,
-        query: core_entities.Query
-    ) -> entities.RuleJudgeResult:
-        
-        if message_chain.has(mirai.At(query.adapter.bot_account_id)) and rule_dict['at']:
-            message_chain.remove(mirai.At(query.adapter.bot_account_id))
-            return entities.RuleJudgeResult(
-                matching=True,
-                replacement=message_chain,
-            )
-
-        return entities.RuleJudgeResult(
-            matching=False,
-            replacement = message_chain
-        )

pkg/pipeline/resprule/rules/prefix.py

@@ -1,32 +0,0 @@
-import mirai
-
-from .. import rule as rule_model
-from .. import entities
-from ....core import entities as core_entities
-
-
-class PrefixRule(rule_model.GroupRespondRule):
-
-    async def match(
-        self,
-        message_text: str,
-        message_chain: mirai.MessageChain,
-        rule_dict: dict,
-        query: core_entities.Query
-    ) -> entities.RuleJudgeResult:
-        prefixes = rule_dict['prefix']
-
-        for prefix in prefixes:
-            if message_text.startswith(prefix):
-
-                return entities.RuleJudgeResult(
-                    matching=True,
-                    replacement=mirai.MessageChain([
-                        mirai.Plain(message_text[len(prefix):])
-                    ]),
-                )
-
-        return entities.RuleJudgeResult(
-            matching=False,
-            replacement=message_chain
-        )