merge: merge master into feat/unified_webhook

Resolved conflicts by keeping current branch changes for webhook feature files:
- src/langbot/libs/wecom_ai_bot_api/api.py
- src/langbot/libs/wecom_ai_bot_api/wecombotevent.py
- src/langbot/pkg/api/http/controller/groups/webhooks.py
- src/langbot/pkg/platform/sources/officialaccount.py
- src/langbot/pkg/platform/sources/qqofficial.py
- src/langbot/pkg/platform/sources/wecom.py
- src/langbot/pkg/platform/sources/wecombot.py

Merged master branch changes including:
- Project restructure: moved files from pkg/ and libs/ to src/langbot/
- New features: API key auth, MCP resources, pipeline extensions
- Documentation updates: AGENTS.md, CLAUDE.md, API docs

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.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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-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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-
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-and you may offer support or warranty protection for a fee.
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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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+   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) / (PR for your language)
 
-## 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)。
+- 🤖 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：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 +1,141 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / (PR for your language)
+
+[![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).
+- 🤖 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: 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_JP.md

@@ -0,0 +1,141 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / 日本語 / (PR for your language)
+
+[![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) 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: 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_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) / (PR for your language)
+
+[![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)。
+- 🤖 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：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> 

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

@@ -1,18 +1,3 @@
-import asyncio
+import langbot.__main__
 
-
-asciiart = r"""
-  ___   ___ _         _    ___ ___ _____ 
- / _ \ / __| |_  __ _| |_ / __| _ \_   _|
-| (_) | (__| ' \/ _` |  _| (_ |  _/ | |  
- \__\_\\___|_||_\__,_|\__|\___|_|   |_|  
-
-⭐️开源地址: https://github.com/RockChinQ/QChatGPT
-📖文档地址: https://q.rkcn.top
-"""
-
-if __name__ == '__main__':
-    print(asciiart)
-
-    from pkg.core import boot
-    asyncio.run(boot.main())
+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

@@ -1,108 +0,0 @@
-from __future__ import annotations
-
-import logging
-import asyncio
-import traceback
-
-import aioconsole
-
-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 . import pool, controller
-from ..pipeline import 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

@@ -1,149 +0,0 @@
-from __future__ import print_function
-
-import os
-import sys
-
-from .bootutils import files
-from .bootutils import deps
-from .bootutils import log
-from .bootutils import config
-
-from . import app
-from . import pool
-from . import controller
-from ..pipeline import stagemgr
-from ..audit import identifier
-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
-from ..command import cmdmgr
-from ..plugin import manager as plugin_mgr
-from ..audit.center import v2 as center_v2
-from ..utils import version, proxy, announce
-
-use_override = False
-
-
-async def make_app() -> app.Application:
-    global use_override
-
-    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)
-
-    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)
-        sys.exit(0)
-
-    qcg_logger = await log.init_logging()
-
-    # 生成标识符
-    identifier.init()
-
-    # ========== 加载配置文件 ==========
-
-    command_cfg = await config.load_json_config("data/config/command.json", "templates/command.json")
-    pipeline_cfg = await config.load_json_config("data/config/pipeline.json", "templates/pipeline.json")
-    platform_cfg = await config.load_json_config("data/config/platform.json", "templates/platform.json")
-    provider_cfg = await config.load_json_config("data/config/provider.json", "templates/provider.json")
-    system_cfg = await config.load_json_config("data/config/system.json", "templates/system.json")
-
-    # ========== 构建应用实例 ==========
-    ap = app.Application()
-    ap.logger = qcg_logger
-
-    ap.command_cfg = command_cfg
-    ap.pipeline_cfg = pipeline_cfg
-    ap.platform_cfg = platform_cfg
-    ap.provider_cfg = provider_cfg
-    ap.system_cfg = system_cfg
-
-    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(system_cfg.data["admin-sessions"]),
-            "msg_source": str([
-                adapter_cfg['adapter'] if 'adapter' in adapter_cfg else 'unknown'
-                for adapter_cfg in 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
-
-    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

@@ -1,32 +0,0 @@
-import pip
-
-required_deps = {
-    "requests": "requests",
-    "openai": "openai",
-    "colorlog": "colorlog",
-    "mirai": "yiri-mirai-rc",
-    "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

@@ -1,57 +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:
-    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.INFO,  # 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/controller.py

@@ -1,161 +0,0 @@
-from __future__ import annotations
-
-import asyncio
-import typing
-import traceback
-
-from . import app, entities
-from ..pipeline 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/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/pool.py

@@ -1,57 +0,0 @@
-from __future__ import annotations
-
-import asyncio
-
-import mirai
-
-from . 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/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/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/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
-        )

pkg/pipeline/resprule/rules/random.py

@@ -1,24 +0,0 @@
-import random
-
-import mirai
-
-from .. import rule as rule_model
-from .. import entities
-from ....core import entities as core_entities
-
-
-class RandomRespRule(rule_model.GroupRespondRule):
-
-    async def match(
-        self,
-        message_text: str,
-        message_chain: mirai.MessageChain,
-        rule_dict: dict,
-        query: core_entities.Query
-    ) -> entities.RuleJudgeResult:
-        random_rate = rule_dict['random']
-        
-        return entities.RuleJudgeResult(
-            matching=random.random() < random_rate,
-            replacement=message_chain
-        )

pkg/pipeline/stagemgr.py

@@ -1,70 +0,0 @@
-from __future__ import annotations
-
-import pydantic
-
-from ..core import app
-from . import stage
-from .resprule import resprule
-from .bansess import bansess
-from .cntfilter import cntfilter
-from .process import process
-from .longtext import longtext
-from .respback import respback
-from .wrapper import wrapper
-from .preproc import preproc
-from .ratelimit import ratelimit
-
-
-stage_order = [
-    "GroupRespondRuleCheckStage",
-    "BanSessionCheckStage",
-    "PreContentFilterStage",
-    "PreProcessor",
-    "RequireRateLimitOccupancy",
-    "MessageProcessor",
-    "ReleaseRateLimitOccupancy",
-    "PostContentFilterStage",
-    "ResponseWrapper",
-    "LongTextProcessStage",
-    "SendResponseBackStage",
-]
-
-
-class StageInstContainer():
-    """阶段实例容器
-    """
-
-    inst_name: str
-
-    inst: stage.PipelineStage
-
-    def __init__(self, inst_name: str, inst: stage.PipelineStage):
-        self.inst_name = inst_name
-        self.inst = inst
-
-
-class StageManager:
-    ap: app.Application
-
-    stage_containers: list[StageInstContainer]
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-
-        self.stage_containers = []
-
-    async def initialize(self):
-        """初始化
-        """
-        
-        for name, cls in stage._stage_classes.items():
-            self.stage_containers.append(StageInstContainer(
-                inst_name=name,
-                inst=cls(self.ap)
-            ))
-            
-        for stage_containers in self.stage_containers:
-            await stage_containers.inst.initialize()
-
-        # 按照 stage_order 排序
-        self.stage_containers.sort(key=lambda x: stage_order.index(x.inst_name))

pkg/pipeline/wrapper/wrapper.py

@@ -1,121 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-import mirai
-
-from ...core import app, entities as core_entities
-from .. import entities
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...config import manager as cfg_mgr
-from ...plugin import events
-
-
-@stage.stage_class("ResponseWrapper")
-class ResponseWrapper(stage.PipelineStage):
-
-    async def initialize(self):
-        pass
-
-    async def process(
-        self,
-        query: core_entities.Query,
-        stage_inst_name: str,
-    ) -> typing.AsyncGenerator[entities.StageProcessResult, None]:
-        """处理
-        """
-        
-        if query.resp_messages[-1].role == 'command':
-            query.resp_message_chain = mirai.MessageChain("[bot] "+query.resp_messages[-1].content)
-
-            yield entities.StageProcessResult(
-                result_type=entities.ResultType.CONTINUE,
-                new_query=query
-            )
-        else:
-
-            if query.resp_messages[-1].role == 'assistant':
-                result = query.resp_messages[-1]
-                session = await self.ap.sess_mgr.get_session(query)
-
-                reply_text = ''
-
-                if result.content is not None:  # 有内容
-                    reply_text = result.content
-
-                    # ============= 触发插件事件 ===============
-                    event_ctx = await self.ap.plugin_mgr.emit_event(
-                        event=events.NormalMessageResponded(
-                            launcher_type=query.launcher_type.value,
-                            launcher_id=query.launcher_id,
-                            sender_id=query.sender_id,
-                            session=session,
-                            prefix='',
-                            response_text=reply_text,
-                            finish_reason='stop',
-                            funcs_called=[fc.function.name for fc in result.tool_calls] if result.tool_calls is not None else [],
-                            query=query
-                        )
-                    )
-                    if event_ctx.is_prevented_default():
-                        yield entities.StageProcessResult(
-                            result_type=entities.ResultType.INTERRUPT,
-                            new_query=query
-                        )
-                    else:
-                        if event_ctx.event.reply is not None:
-                            
-                            query.resp_message_chain = mirai.MessageChain(event_ctx.event.reply)
-
-                        else:
-
-                            query.resp_message_chain = mirai.MessageChain([mirai.Plain(reply_text)])
-
-                        yield entities.StageProcessResult(
-                            result_type=entities.ResultType.CONTINUE,
-                            new_query=query
-                        )
-
-                if result.tool_calls is not None:  # 有函数调用
-                    
-                    function_names = [tc.function.name for tc in result.tool_calls]
-
-                    reply_text = f'调用函数 {".".join(function_names)}...'
-
-                    query.resp_message_chain = mirai.MessageChain([mirai.Plain(reply_text)])
-
-                    if self.ap.platform_cfg.data['track-function-calls']:
-                        
-                        event_ctx = await self.ap.plugin_mgr.emit_event(
-                            event=events.NormalMessageResponded(
-                                launcher_type=query.launcher_type.value,
-                                launcher_id=query.launcher_id,
-                                sender_id=query.sender_id,
-                                session=session,
-                                prefix='',
-                                response_text=reply_text,
-                                finish_reason='stop',
-                                funcs_called=[fc.function.name for fc in result.tool_calls] if result.tool_calls is not None else [],
-                                query=query
-                            )
-                        )
-
-                        if event_ctx.is_prevented_default():
-                            yield entities.StageProcessResult(
-                                result_type=entities.ResultType.INTERRUPT,
-                                new_query=query
-                            )
-                        else:
-                            if event_ctx.event.reply is not None:
-                                
-                                query.resp_message_chain = mirai.MessageChain(event_ctx.event.reply)
-
-                            else:
-
-                                query.resp_message_chain = mirai.MessageChain([mirai.Plain(reply_text)])
-
-                            yield entities.StageProcessResult(
-                                result_type=entities.ResultType.CONTINUE,
-                                new_query=query
-                            )

pkg/platform/adapter.py

@@ -1,162 +0,0 @@
-from __future__ import annotations
-
-# MessageSource的适配器
-import typing
-import abc
-
-import mirai
-
-from ..core import app
-
-
-preregistered_adapters: list[typing.Type[MessageSourceAdapter]] = []
-
-def adapter_class(
-    name: str
-):
-    def decorator(cls: typing.Type[MessageSourceAdapter]) -> typing.Type[MessageSourceAdapter]:
-        cls.name = name
-        preregistered_adapters.append(cls)
-        return cls
-    return decorator
-
-
-class MessageSourceAdapter(metaclass=abc.ABCMeta):
-    name: str
-
-    bot_account_id: int
-    
-    config: dict
-
-    ap: app.Application
-
-    def __init__(self, config: dict, ap: app.Application):
-        self.config = config
-        self.ap = ap
-
-    async def send_message(
-        self,
-        target_type: str,
-        target_id: str,
-        message: mirai.MessageChain
-    ):
-        """发送消息
-        
-        Args:
-            target_type (str): 目标类型，`person`或`group`
-            target_id (str): 目标ID
-            message (mirai.MessageChain): YiriMirai库的消息链
-        """
-        raise NotImplementedError
-
-    async def reply_message(
-        self,
-        message_source: mirai.MessageEvent,
-        message: mirai.MessageChain,
-        quote_origin: bool = False
-    ):
-        """回复消息
-
-        Args:
-            message_source (mirai.MessageEvent): YiriMirai消息源事件
-            message (mirai.MessageChain): YiriMirai库的消息链
-            quote_origin (bool, optional): 是否引用原消息. Defaults to False.
-        """
-        raise NotImplementedError
-
-    async def is_muted(self, group_id: int) -> bool:
-        """获取账号是否在指定群被禁言"""
-        raise NotImplementedError
-
-    def register_listener(
-        self,
-        event_type: typing.Type[mirai.Event],
-        callback: typing.Callable[[mirai.Event, MessageSourceAdapter], None]
-    ):
-        """注册事件监听器
-        
-        Args:
-            event_type (typing.Type[mirai.Event]): YiriMirai事件类型
-            callback (typing.Callable[[mirai.Event], None]): 回调函数，接收一个参数，为YiriMirai事件
-        """
-        raise NotImplementedError
-    
-    def unregister_listener(
-        self,
-        event_type: typing.Type[mirai.Event],
-        callback: typing.Callable[[mirai.Event, MessageSourceAdapter], None]
-    ):
-        """注销事件监听器
-        
-        Args:
-            event_type (typing.Type[mirai.Event]): YiriMirai事件类型
-            callback (typing.Callable[[mirai.Event], None]): 回调函数，接收一个参数，为YiriMirai事件
-        """
-        raise NotImplementedError
-
-    async def run_async(self):
-        """异步运行"""
-        raise NotImplementedError
-
-    async def kill(self) -> bool:
-        """关闭适配器
-        
-        Returns:
-            bool: 是否成功关闭，热重载时若此函数返回False则不会重载MessageSource底层
-        """
-        raise NotImplementedError
-
-
-class MessageConverter:
-    """消息链转换器基类"""
-    @staticmethod
-    def yiri2target(message_chain: mirai.MessageChain):
-        """将YiriMirai消息链转换为目标消息链
-
-        Args:
-            message_chain (mirai.MessageChain): YiriMirai消息链
-
-        Returns:
-            typing.Any: 目标消息链
-        """
-        raise NotImplementedError
-
-    @staticmethod
-    def target2yiri(message_chain: typing.Any) -> mirai.MessageChain:
-        """将目标消息链转换为YiriMirai消息链
-
-        Args:
-            message_chain (typing.Any): 目标消息链
-
-        Returns:
-            mirai.MessageChain: YiriMirai消息链
-        """
-        raise NotImplementedError
-
-
-class EventConverter:
-    """事件转换器基类"""
-
-    @staticmethod
-    def yiri2target(event: typing.Type[mirai.Event]):
-        """将YiriMirai事件转换为目标事件
-
-        Args:
-            event (typing.Type[mirai.Event]): YiriMirai事件
-
-        Returns:
-            typing.Any: 目标事件
-        """
-        raise NotImplementedError
-
-    @staticmethod
-    def target2yiri(event: typing.Any) -> mirai.Event:
-        """将目标事件的调用参数转换为YiriMirai的事件参数对象
-
-        Args:
-            event (typing.Any): 目标事件
-
-        Returns:
-            typing.Type[mirai.Event]: YiriMirai事件
-        """
-        raise NotImplementedError

pkg/platform/manager.py

@@ -1,204 +0,0 @@
-from __future__ import annotations
-
-import json
-import os
-import logging
-import asyncio
-import traceback
-
-from mirai import At, GroupMessage, MessageEvent, StrangerMessage, \
-    FriendMessage, Image, MessageChain, Plain
-import mirai
-from ..platform import adapter as msadapter
-
-from ..core import app, entities as core_entities
-from ..plugin import events
-
-# 控制QQ消息输入输出的类
-class PlatformManager:
-    
-    # adapter: msadapter.MessageSourceAdapter = None
-    adapters: list[msadapter.MessageSourceAdapter] = []
-
-    # modern
-    ap: app.Application = None
-
-    def __init__(self, ap: app.Application = None):
-
-        self.ap = ap
-        self.adapters = []
-    
-    async def initialize(self):
-
-        from .sources import yirimirai, nakuru, aiocqhttp, qqbotpy
-
-        async def on_friend_message(event: FriendMessage, adapter: msadapter.MessageSourceAdapter):
-
-            event_ctx = await self.ap.plugin_mgr.emit_event(
-                event=events.PersonMessageReceived(
-                    launcher_type='person',
-                    launcher_id=event.sender.id,
-                    sender_id=event.sender.id,
-                    message_chain=event.message_chain,
-                    query=None
-                )
-            )
-
-            if not event_ctx.is_prevented_default():
-
-                await self.ap.query_pool.add_query(
-                    launcher_type=core_entities.LauncherTypes.PERSON,
-                    launcher_id=event.sender.id,
-                    sender_id=event.sender.id,
-                    message_event=event,
-                    message_chain=event.message_chain,
-                    adapter=adapter
-                )
-
-        async def on_stranger_message(event: StrangerMessage, adapter: msadapter.MessageSourceAdapter):
-            
-            event_ctx = await self.ap.plugin_mgr.emit_event(
-                event=events.PersonMessageReceived(
-                    launcher_type='person',
-                    launcher_id=event.sender.id,
-                    sender_id=event.sender.id,
-                    message_chain=event.message_chain,
-                    query=None
-                )
-            )
-
-            if not event_ctx.is_prevented_default():
-
-                await self.ap.query_pool.add_query(
-                    launcher_type=core_entities.LauncherTypes.PERSON,
-                    launcher_id=event.sender.id,
-                    sender_id=event.sender.id,
-                    message_event=event,
-                    message_chain=event.message_chain,
-                    adapter=adapter
-                )
-
-        async def on_group_message(event: GroupMessage, adapter: msadapter.MessageSourceAdapter):
-
-            event_ctx = await self.ap.plugin_mgr.emit_event(
-                event=events.GroupMessageReceived(
-                    launcher_type='person',
-                    launcher_id=event.sender.id,
-                    sender_id=event.sender.id,
-                    message_chain=event.message_chain,
-                    query=None
-                )
-            )
-
-            if not event_ctx.is_prevented_default():
-
-                await self.ap.query_pool.add_query(
-                    launcher_type=core_entities.LauncherTypes.GROUP,
-                    launcher_id=event.group.id,
-                    sender_id=event.sender.id,
-                    message_event=event,
-                    message_chain=event.message_chain,
-                    adapter=adapter
-                )
-        
-        index = 0
-
-        for adap_cfg in self.ap.platform_cfg.data['platform-adapters']:
-            if adap_cfg['enable']:
-                self.ap.logger.info(f'初始化平台适配器 {index}: {adap_cfg["adapter"]}')
-                index += 1
-                cfg_copy = adap_cfg.copy()
-                del cfg_copy['enable']
-                adapter_name = cfg_copy['adapter']
-                del cfg_copy['adapter']
-
-                found = False
-
-                for adapter in msadapter.preregistered_adapters:
-                    if adapter.name == adapter_name:
-                        found = True
-                        adapter_cls = adapter
-                        
-                        adapter_inst = adapter_cls(
-                            cfg_copy,
-                            self.ap
-                        )
-                        self.adapters.append(adapter_inst)
-
-                        if adapter_name == 'yiri-mirai':
-                            adapter_inst.register_listener(
-                                StrangerMessage,
-                                on_stranger_message
-                            )
-
-                        adapter_inst.register_listener(
-                            FriendMessage,
-                            on_friend_message
-                        )
-                        adapter_inst.register_listener(
-                            GroupMessage,
-                            on_group_message
-                        )
-                
-                if not found:
-                    raise Exception('platform.json 中启用了未知的平台适配器: ' + adapter_name)
-                
-        if len(self.adapters) == 0:
-            self.ap.logger.warning('未运行平台适配器，请根据文档配置并启用平台适配器。')
-
-    async def send(self, event, msg, adapter: msadapter.MessageSourceAdapter, check_quote=True, check_at_sender=True):
-        
-        if check_at_sender and self.ap.platform_cfg.data['at-sender'] and isinstance(event, GroupMessage):
-
-            msg.insert(
-                0,
-                At(
-                    event.sender.id
-                )
-            )
-
-        await adapter.reply_message(
-            event,
-            msg,
-            quote_origin=True if self.ap.platform_cfg.data['quote-origin'] and check_quote else False
-        )
-
-    # 通知系统管理员
-    # TODO delete
-    # async def notify_admin(self, message: str):
-    #     await self.notify_admin_message_chain(MessageChain([Plain("[bot]{}".format(message))]))
-
-    # async def notify_admin_message_chain(self, message: mirai.MessageChain):
-    #     if self.ap.system_cfg.data['admin-sessions'] != []:
-
-    #         admin_list = []
-    #         for admin in self.ap.system_cfg.data['admin-sessions']:
-    #             admin_list.append(admin)
-            
-    #         for adm in admin_list:
-    #             self.adapter.send_message(
-    #                 adm.split("_")[0],
-    #                 adm.split("_")[1],
-    #                 message
-    #             )
-
-    async def run(self):
-        try:
-            tasks = []
-            for adapter in self.adapters:
-                async def exception_wrapper(adapter):
-                    try:
-                        await adapter.run_async()
-                    except Exception as e:
-                        self.ap.logger.error('平台适配器运行出错: ' + str(e))
-                        self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
-
-                tasks.append(exception_wrapper(adapter))
-            
-            for task in tasks:
-                asyncio.create_task(task)
-
-        except Exception as e:
-            self.ap.logger.error('平台适配器运行出错: ' + str(e))
-            self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
-

pkg/platform/sources/aiocqhttp.py

@@ -1,275 +0,0 @@
-from __future__ import annotations
-import typing
-import asyncio
-import traceback
-import time
-import datetime
-
-import mirai
-import mirai.models.message as yiri_message
-import aiocqhttp
-
-from .. import adapter
-from ...pipeline.longtext.strategies import forward
-from ...core import app
-
-
-class AiocqhttpMessageConverter(adapter.MessageConverter):
-
-    @staticmethod
-    def yiri2target(message_chain: mirai.MessageChain) -> typing.Tuple[list, int, datetime.datetime]:
-        msg_list = aiocqhttp.Message()
-
-        msg_id = 0
-        msg_time = None
-
-        for msg in message_chain:
-            if type(msg) is mirai.Plain:
-                msg_list.append(aiocqhttp.MessageSegment.text(msg.text))
-            elif type(msg) is yiri_message.Source:
-                msg_id = msg.id
-                msg_time = msg.time
-            elif type(msg) is mirai.Image:
-                msg_list.append(aiocqhttp.MessageSegment.image(msg.path))
-            elif type(msg) is mirai.At:
-                msg_list.append(aiocqhttp.MessageSegment.at(msg.target))
-            elif type(msg) is mirai.AtAll:
-                msg_list.append(aiocqhttp.MessageSegment.at("all"))
-            elif type(msg) is mirai.Face:
-                msg_list.append(aiocqhttp.MessageSegment.face(msg.face_id))
-            elif type(msg) is mirai.Voice:
-                msg_list.append(aiocqhttp.MessageSegment.record(msg.path))
-            elif type(msg) is forward.Forward:
-                # print("aiocqhttp 暂不支持转发消息组件的转换，使用普通消息链发送")
-
-                for node in msg.node_list:
-                    msg_list.extend(AiocqhttpMessageConverter.yiri2target(node.message_chain)[0])
-                
-            else:
-                msg_list.append(aiocqhttp.MessageSegment.text(str(msg)))
-
-        return msg_list, msg_id, msg_time
-
-    @staticmethod
-    def target2yiri(message: str, message_id: int = -1):
-        message = aiocqhttp.Message(message)
-
-        yiri_msg_list = []
-
-        yiri_msg_list.append(
-            yiri_message.Source(id=message_id, time=datetime.datetime.now())
-        )
-
-        for msg in message:
-            if msg.type == "at":
-                if msg.data["qq"] == "all":
-                    yiri_msg_list.append(yiri_message.AtAll())
-                else:
-                    yiri_msg_list.append(
-                        yiri_message.At(
-                            target=msg.data["qq"],
-                        )
-                    )
-            elif msg.type == "text":
-                yiri_msg_list.append(yiri_message.Plain(text=msg.data["text"]))
-            elif msg.type == "image":
-                yiri_msg_list.append(yiri_message.Image(url=msg.data["url"]))
-
-        chain = mirai.MessageChain(yiri_msg_list)
-
-        return chain
-
-
-class AiocqhttpEventConverter(adapter.EventConverter):
-
-    @staticmethod
-    def yiri2target(event: mirai.Event, bot_account_id: int):
-
-        msg, msg_id, msg_time = AiocqhttpMessageConverter.yiri2target(event.message_chain)
-
-        if type(event) is mirai.GroupMessage:
-            role = "member"
-
-            if event.sender.permission == "ADMINISTRATOR":
-                role = "admin"
-            elif event.sender.permission == "OWNER":
-                role = "owner"
-
-            payload = {
-                "post_type": "message",
-                "message_type": "group",
-                "time": int(msg_time.timestamp()),
-                "self_id": bot_account_id,
-                "sub_type": "normal",
-                "anonymous": None,
-                "font": 0,
-                "message": str(msg),
-                "raw_message": str(msg),
-                "sender": {
-                    "age": 0,
-                    "area": "",
-                    "card": "",
-                    "level": "",
-                    "nickname": event.sender.member_name,
-                    "role": role,
-                    "sex": "unknown",
-                    "title": "",
-                    "user_id": event.sender.id,
-                },
-                "user_id": event.sender.id,
-                "message_id": msg_id,
-                "group_id": event.group.id,
-                "message_seq": 0,
-            }
-
-            return aiocqhttp.Event.from_payload(payload)
-        elif type(event) is mirai.FriendMessage:
-
-            payload = {
-                "post_type": "message",
-                "message_type": "private",
-                "time": int(msg_time.timestamp()),
-                "self_id": bot_account_id,
-                "sub_type": "friend",
-                "target_id": bot_account_id,
-                "message": str(msg),
-                "raw_message": str(msg),
-                "font": 0,
-                "sender": {
-                    "age": 0,
-                    "nickname": event.sender.nickname,
-                    "sex": "unknown",
-                    "user_id": event.sender.id,
-                },
-                "message_id": msg_id,
-                "user_id": event.sender.id,
-            }
-            
-            return aiocqhttp.Event.from_payload(payload)
-
-    @staticmethod
-    def target2yiri(event: aiocqhttp.Event):
-        yiri_chain = AiocqhttpMessageConverter.target2yiri(
-            event.message, event.message_id
-        )
-
-        if event.message_type == "group":
-            permission = "MEMBER"
-
-            if event.sender["role"] == "admin":
-                permission = "ADMINISTRATOR"
-            elif event.sender["role"] == "owner":
-                permission = "OWNER"
-            converted_event = mirai.GroupMessage(
-                sender=mirai.models.entities.GroupMember(
-                    id=event.sender["user_id"],  # message_seq 放哪？
-                    member_name=event.sender["nickname"],
-                    permission=permission,
-                    group=mirai.models.entities.Group(
-                        id=event.group_id,
-                        name=event.sender["nickname"],
-                        permission=mirai.models.entities.Permission.Member,
-                    ),
-                    special_title=event.sender["title"],
-                    join_timestamp=0,
-                    last_speak_timestamp=0,
-                    mute_time_remaining=0,
-                ),
-                message_chain=yiri_chain,
-                time=event.time,
-            )
-            return converted_event
-        elif event.message_type == "private":
-            return mirai.FriendMessage(
-                sender=mirai.models.entities.Friend(
-                    id=event.sender["user_id"],
-                    nickname=event.sender["nickname"],
-                    remark="",
-                ),
-                message_chain=yiri_chain,
-                time=event.time,
-            )
-
-
-@adapter.adapter_class("aiocqhttp")
-class AiocqhttpAdapter(adapter.MessageSourceAdapter):
-
-    bot: aiocqhttp.CQHttp
-
-    bot_account_id: int
-
-    message_converter: AiocqhttpMessageConverter = AiocqhttpMessageConverter()
-    event_converter: AiocqhttpEventConverter = AiocqhttpEventConverter()
-
-    config: dict
-
-    ap: app.Application
-
-    def __init__(self, config: dict, ap: app.Application):
-        self.config = config
-
-        async def shutdown_trigger_placeholder():
-            while True:
-                await asyncio.sleep(1)
-        
-        self.config['shutdown_trigger'] = shutdown_trigger_placeholder
-
-        self.ap = ap
-
-        self.bot = aiocqhttp.CQHttp()
-
-    async def send_message(
-        self, target_type: str, target_id: str, message: mirai.MessageChain
-    ):
-        # TODO 实现发送消息
-        return super().send_message(target_type, target_id, message)
-
-    async def reply_message(
-        self,
-        message_source: mirai.MessageEvent,
-        message: mirai.MessageChain,
-        quote_origin: bool = False,
-    ):
-        
-        aiocq_event = AiocqhttpEventConverter.yiri2target(message_source, self.bot_account_id)
-        aiocq_msg = AiocqhttpMessageConverter.yiri2target(message)[0]
-        if quote_origin:
-            aiocq_msg = aiocqhttp.MessageSegment.reply(aiocq_event.message_id) + aiocq_msg
-
-        return await self.bot.send(
-            aiocq_event,
-            aiocq_msg
-        )
-
-    async def is_muted(self, group_id: int) -> bool:
-        return False
-
-    def register_listener(
-        self,
-        event_type: typing.Type[mirai.Event],
-        callback: typing.Callable[[mirai.Event, adapter.MessageSourceAdapter], None],
-    ):
-        async def on_message(event: aiocqhttp.Event):
-            self.bot_account_id = event.self_id
-            try:
-                return await callback(self.event_converter.target2yiri(event), self)
-            except:
-                traceback.print_exc()
-
-        if event_type == mirai.GroupMessage:
-            self.bot.on_message("group")(on_message)
-        elif event_type == mirai.FriendMessage:
-            self.bot.on_message("private")(on_message)
-
-    def unregister_listener(
-        self,
-        event_type: typing.Type[mirai.Event],
-        callback: typing.Callable[[mirai.Event, adapter.MessageSourceAdapter], None],
-    ):
-        return super().unregister_listener(event_type, callback)
-
-    async def run_async(self):
-        await self.bot._server_app.run_task(**self.config)
-
-    async def kill(self) -> bool:
-        return False

pkg/platform/sources/qqbotpy.py

@@ -1,394 +0,0 @@
-from __future__ import annotations
-
-import logging
-import typing
-import datetime
-import asyncio
-import re
-import traceback
-import json
-import threading
-
-import mirai
-import botpy
-import botpy.message as botpy_message
-import botpy.types.message as botpy_message_type
-
-from .. import adapter as adapter_model
-from ...pipeline.longtext.strategies import forward
-from ...core import app
-
-
-class OfficialGroupMessage(mirai.GroupMessage):
-    pass
-
-
-event_handler_mapping = {
-    mirai.GroupMessage: ["on_at_message_create", "on_group_at_message_create"],
-    mirai.FriendMessage: ["on_direct_message_create"],
-}
-
-
-cached_message_ids = {}
-"""由于QQ官方的消息id是字符串，而YiriMirai的消息id是整数，所以需要一个索引来进行转换"""
-
-id_index = 0
-
-def save_msg_id(message_id: str) -> int:
-    """保存消息id"""
-    global id_index, cached_message_ids
-    
-    crt_index = id_index
-    id_index += 1
-    cached_message_ids[str(crt_index)] = message_id
-    return crt_index
-
-cached_member_openids = {}
-"""QQ官方 用户的id是字符串，而YiriMirai的用户id是整数，所以需要一个索引来进行转换"""
-
-member_openid_index = 100
-
-def save_member_openid(member_openid: str) -> int:
-    """保存用户id"""
-    global member_openid_index, cached_member_openids
-    
-    if member_openid in cached_member_openids.values():
-        return list(cached_member_openids.keys())[list(cached_member_openids.values()).index(member_openid)]
-    
-    crt_index = member_openid_index
-    member_openid_index += 1
-    cached_member_openids[str(crt_index)] = member_openid
-    return crt_index
-
-cached_group_openids = {}
-"""QQ官方 群组的id是字符串，而YiriMirai的群组id是整数，所以需要一个索引来进行转换"""
-
-group_openid_index = 1000
-
-def save_group_openid(group_openid: str) -> int:
-    """保存群组id"""
-    global group_openid_index, cached_group_openids
-    
-    if group_openid in cached_group_openids.values():
-        return list(cached_group_openids.keys())[list(cached_group_openids.values()).index(group_openid)]
-    
-    crt_index = group_openid_index
-    group_openid_index += 1
-    cached_group_openids[str(crt_index)] = group_openid
-    return crt_index
-
-
-class OfficialMessageConverter(adapter_model.MessageConverter):
-    """QQ 官方消息转换器"""
-    @staticmethod
-    def yiri2target(message_chain: mirai.MessageChain):
-        """将 YiriMirai 的消息链转换为 QQ 官方消息"""
-
-        msg_list = []
-        if type(message_chain) is mirai.MessageChain:
-            msg_list = message_chain.__root__
-        elif type(message_chain) is list:
-            msg_list = message_chain
-        else:
-            raise Exception("Unknown message type: " + str(message_chain) + str(type(message_chain)))
-        
-        offcial_messages: list[dict] = []
-        """
-        {
-            "type": "text",
-            "content": "Hello World!"
-        }
-
-        {
-            "type": "image",
-            "content": "https://example.com/example.jpg"
-        }
-        """
-
-        # 遍历并转换
-        for component in msg_list:
-            if type(component) is mirai.Plain:
-                offcial_messages.append({
-                    "type": "text",
-                    "content": component.text
-                })
-            elif type(component) is mirai.Image:
-                if component.url is not None:
-                    offcial_messages.append(
-                        {
-                            "type": "image",
-                            "content": component.url
-                        }
-                    )
-                elif component.path is not None:
-                    offcial_messages.append(
-                        {
-                            "type": "file_image",
-                            "content": component.path
-                        }
-                    )
-            elif type(component) is mirai.At:
-                offcial_messages.append(
-                    {
-                        "type": "at",
-                        "content": ""
-                    }
-                )
-            elif type(component) is mirai.AtAll:
-                print("上层组件要求发送 AtAll 消息，但 QQ 官方 API 不支持此消息类型，忽略此消息。")
-            elif type(component) is mirai.Voice:
-                print("上层组件要求发送 Voice 消息，但 QQ 官方 API 不支持此消息类型，忽略此消息。")
-            elif type(component) is forward.Forward:
-                # 转发消息
-                yiri_forward_node_list = component.node_list
-
-                # 遍历并转换
-                for yiri_forward_node in yiri_forward_node_list:
-                    try:
-                        message_chain = yiri_forward_node.message_chain
-                        
-                        # 平铺
-                        offcial_messages.extend(OfficialMessageConverter.yiri2target(message_chain))
-                    except Exception as e:
-                        import traceback
-                        traceback.print_exc()
-
-        return offcial_messages
-    
-    @staticmethod
-    def extract_message_chain_from_obj(message: typing.Union[botpy_message.Message, botpy_message.DirectMessage], message_id: str = None, bot_account_id: int = 0) -> mirai.MessageChain:
-        yiri_msg_list = []
-
-        # 存id
-
-        yiri_msg_list.append(mirai.models.message.Source(id=save_msg_id(message_id), time=datetime.datetime.now()))
-
-        if type(message) is not botpy_message.DirectMessage:
-            yiri_msg_list.append(mirai.At(target=bot_account_id))
-
-        if hasattr(message, "mentions"):
-            for mention in message.mentions:
-                if mention.bot:
-                    continue
-
-                yiri_msg_list.append(mirai.At(target=mention.id))
-
-        for attachment in message.attachments:
-            if attachment.content_type == "image":
-                yiri_msg_list.append(mirai.Image(url=attachment.url))
-            else:
-                logging.warning("不支持的附件类型：" + attachment.content_type + "，忽略此附件。")
-
-        content = re.sub(r"<@!\d+>", "", str(message.content))
-        if content.strip() != "":
-            yiri_msg_list.append(mirai.Plain(text=content))
-
-        chain = mirai.MessageChain(yiri_msg_list)
-
-        return chain
-    
-
-class OfficialEventConverter(adapter_model.EventConverter):
-    """事件转换器"""
-    @staticmethod
-    def yiri2target(event: typing.Type[mirai.Event]):
-        if event == mirai.GroupMessage:
-            return botpy_message.Message
-        elif event == mirai.FriendMessage:
-            return botpy_message.DirectMessage
-        else:
-            raise Exception("未支持转换的事件类型(YiriMirai -> Official): " + str(event))
-
-    @staticmethod
-    def target2yiri(event: typing.Union[botpy_message.Message, botpy_message.DirectMessage]) -> mirai.Event:
-        import mirai.models.entities as mirai_entities
-
-        if type(event) == botpy_message.Message:  # 频道内，转群聊事件
-            permission = "MEMBER"
-
-            if '2' in event.member.roles:
-                permission = "ADMINISTRATOR"
-            elif '4' in event.member.roles:
-                permission = "OWNER"
-
-            return mirai.GroupMessage(
-                sender=mirai_entities.GroupMember(
-                    id=event.author.id,
-                    member_name=event.author.username,
-                    permission=permission,
-                    group=mirai_entities.Group(
-                        id=event.channel_id,
-                        name=event.author.username,
-                        permission=mirai_entities.Permission.Member
-                    ),
-                    special_title='',
-                    join_timestamp=int(datetime.datetime.strptime(event.member.joined_at, "%Y-%m-%dT%H:%M:%S%z").timestamp()),
-                    last_speak_timestamp=datetime.datetime.now().timestamp(),
-                    mute_time_remaining=0,
-                ),
-                message_chain=OfficialMessageConverter.extract_message_chain_from_obj(event, event.id),
-                time=int(datetime.datetime.strptime(event.timestamp, "%Y-%m-%dT%H:%M:%S%z").timestamp()),
-            )
-        elif type(event) == botpy_message.DirectMessage:  # 私聊，转私聊事件
-            return mirai.FriendMessage(
-                sender=mirai_entities.Friend(
-                    id=event.guild_id,
-                    nickname=event.author.username,
-                    remark=event.author.username,
-                ),
-                message_chain=OfficialMessageConverter.extract_message_chain_from_obj(event, event.id),
-                time=int(datetime.datetime.strptime(event.timestamp, "%Y-%m-%dT%H:%M:%S%z").timestamp()),
-            )
-        elif type(event) == botpy_message.GroupMessage:
-
-            replacing_member_id = save_member_openid(event.author.member_openid)
-
-            return OfficialGroupMessage(
-                sender=mirai_entities.GroupMember(
-                    id=replacing_member_id,
-                    member_name=replacing_member_id,
-                    permission="MEMBER",
-                    group=mirai_entities.Group(
-                        id=save_group_openid(event.group_openid),
-                        name=replacing_member_id,
-                        permission=mirai_entities.Permission.Member
-                    ),
-                    special_title='',
-                    join_timestamp=int(0),
-                    last_speak_timestamp=datetime.datetime.now().timestamp(),
-                    mute_time_remaining=0,
-                ),
-                message_chain=OfficialMessageConverter.extract_message_chain_from_obj(event, event.id),
-                time=int(datetime.datetime.strptime(event.timestamp, "%Y-%m-%dT%H:%M:%S%z").timestamp()),
-            )
-
-
-@adapter_model.adapter_class("qq-botpy")
-class OfficialAdapter(adapter_model.MessageSourceAdapter):
-    """QQ 官方消息适配器"""
-    bot: botpy.Client = None
-
-    bot_account_id: int = 0
-
-    message_converter: OfficialMessageConverter = OfficialMessageConverter()
-    # event_handler: adapter_model.EventHandler = adapter_model.EventHandler()
-
-    cfg: dict = None
-
-    cached_official_messages: dict = {}
-    """缓存的 qq-botpy 框架消息对象
-    
-    message_id: botpy_message.Message | botpy_message.DirectMessage
-    """
-
-    ap: app.Application
-
-    def __init__(self, cfg: dict, ap: app.Application):
-        """初始化适配器"""
-        self.cfg = cfg
-        self.ap = ap
-
-        switchs = {}
-
-        for intent in cfg['intents']:
-            switchs[intent] = True
-
-        del cfg['intents']
-
-        intents = botpy.Intents(**switchs)
-
-        self.bot = botpy.Client(intents=intents)
-
-    async def send_message(
-        self,
-        target_type: str,
-        target_id: str,
-        message: mirai.MessageChain
-    ):
-        pass
-
-    async def reply_message(
-        self,
-        message_source: mirai.MessageEvent,
-        message: mirai.MessageChain,
-        quote_origin: bool = False
-    ):
-        message_list = self.message_converter.yiri2target(message)
-        tasks = []
-
-        msg_seq = 1
-
-        for msg in message_list:
-            args = {}
-
-            if msg['type'] == 'text':
-                args['content'] = msg['content']
-            elif msg['type'] == 'image':
-                args['image'] = msg['content']
-            elif msg['type'] == 'file_image':
-                args['file_image'] = msg["content"]
-            else:
-                continue
-
-            if quote_origin:
-                args['message_reference'] = botpy_message_type.Reference(message_id=cached_message_ids[str(message_source.message_chain.message_id)])
-
-            if type(message_source) == mirai.GroupMessage:
-                args['channel_id'] = str(message_source.sender.group.id)
-                args['msg_id'] = cached_message_ids[str(message_source.message_chain.message_id)]
-                await self.bot.api.post_message(**args)
-            elif type(message_source) == mirai.FriendMessage:
-                args['guild_id'] = str(message_source.sender.id)
-                args['msg_id'] = cached_message_ids[str(message_source.message_chain.message_id)]
-                await self.bot.api.post_dms(**args)
-            elif type(message_source) == OfficialGroupMessage:
-                # args['guild_id'] = str(message_source.sender.group.id)
-                # args['msg_id'] = cached_message_ids[str(message_source.message_chain.message_id)]
-                # await self.bot.api.post_message(**args)
-                if 'image' in args or 'file_image' in args:
-                    continue
-                args['group_openid'] = cached_group_openids[str(message_source.sender.group.id)]
-                args['msg_id'] = cached_message_ids[str(message_source.message_chain.message_id)]
-                args['msg_seq'] = msg_seq
-                msg_seq += 1
-                await self.bot.api.post_group_message(
-                    **args
-                )
-
-
-    async def is_muted(self, group_id: int) -> bool:
-        return False
-    
-    def register_listener(
-        self,
-        event_type: typing.Type[mirai.Event],
-        callback: typing.Callable[[mirai.Event, adapter_model.MessageSourceAdapter], None]
-    ):
-        
-        try:
-
-            async def wrapper(message: typing.Union[botpy_message.Message, botpy_message.DirectMessage, botpy_message.GroupMessage]):
-                self.cached_official_messages[str(message.id)] = message
-                await callback(OfficialEventConverter.target2yiri(message), self)
-
-            for event_handler in event_handler_mapping[event_type]:
-                setattr(self.bot, event_handler, wrapper)
-        except Exception as e:
-            traceback.print_exc()
-            raise e
-
-    def unregister_listener(
-        self,
-        event_type: typing.Type[mirai.Event],
-        callback: typing.Callable[[mirai.Event, adapter_model.MessageSourceAdapter], None]
-    ):
-        delattr(self.bot, event_handler_mapping[event_type])
-
-    async def run_async(self):
-        self.ap.logger.info("运行 QQ 官方适配器")
-        await self.bot.start(
-            **self.cfg
-        )
-
-    def kill(self) -> bool:
-        return False

pkg/platform/sources/yirimirai.py

@@ -1,124 +0,0 @@
-import asyncio
-import typing
-
-import mirai
-import mirai.models.bus
-from mirai.bot import MiraiRunner
-
-from .. import adapter as adapter_model
-from ...core import app
-
-
-@adapter_model.adapter_class("yiri-mirai")
-class YiriMiraiAdapter(adapter_model.MessageSourceAdapter):
-    """YiriMirai适配器"""
-    bot: mirai.Mirai
-
-    def __init__(self, config: dict, ap: app.Application):
-        """初始化YiriMirai的对象"""
-        self.ap = ap
-        self.config = config
-        if 'adapter' not in config or \
-            config['adapter'] == 'WebSocketAdapter':
-            self.bot = mirai.Mirai(
-                qq=config['qq'],
-                adapter=mirai.WebSocketAdapter(
-                    host=config['host'],
-                    port=config['port'],
-                    verify_key=config['verifyKey']
-                )
-            )
-        elif config['adapter'] == 'HTTPAdapter':
-            self.bot = mirai.Mirai(
-                qq=config['qq'],
-                adapter=mirai.HTTPAdapter(
-                    host=config['host'],
-                    port=config['port'],
-                    verify_key=config['verifyKey']
-                )
-            )
-        else:
-            raise Exception('Unknown adapter for YiriMirai: ' + config['adapter'])
-    
-    async def send_message(
-        self,
-        target_type: str,
-        target_id: str,
-        message: mirai.MessageChain
-    ):
-        """发送消息
-        
-        Args:
-            target_type (str): 目标类型，`person`或`group`
-            target_id (str): 目标ID
-            message (mirai.MessageChain): YiriMirai库的消息链
-        """
-        task = None
-        if target_type == 'person':
-            task = self.bot.send_friend_message(int(target_id), message)
-        elif target_type == 'group':
-            task = self.bot.send_group_message(int(target_id), message)
-        else:
-            raise Exception('Unknown target type: ' + target_type)
-
-        await task
-
-    async def reply_message(
-        self,
-        message_source: mirai.MessageEvent,
-        message: mirai.MessageChain,
-        quote_origin: bool = False
-    ):
-        """回复消息
-
-        Args:
-            message_source (mirai.MessageEvent): YiriMirai消息源事件
-            message (mirai.MessageChain): YiriMirai库的消息链
-            quote_origin (bool, optional): 是否引用原消息. Defaults to False.
-        """
-        await self.bot.send(message_source, message, quote_origin)
-
-    async def is_muted(self, group_id: int) -> bool:
-        result = await self.bot.member_info(target=group_id, member_id=self.bot.qq).get()
-        if result.mute_time_remaining > 0:
-            return True
-        return False
-
-    def register_listener(
-        self,
-        event_type: typing.Type[mirai.Event],
-        callback: typing.Callable[[mirai.Event, adapter_model.MessageSourceAdapter], None]
-    ):
-        """注册事件监听器
-        
-        Args:
-            event_type (typing.Type[mirai.Event]): YiriMirai事件类型
-            callback (typing.Callable[[mirai.Event], None]): 回调函数，接收一个参数，为YiriMirai事件
-        """
-        async def wrapper(event: mirai.Event):
-            await callback(event, self)
-        self.bot.on(event_type)(wrapper)
-
-    def unregister_listener(
-        self,
-        event_type: typing.Type[mirai.Event],
-        callback: typing.Callable[[mirai.Event, adapter_model.MessageSourceAdapter], None]
-    ):
-        """注销事件监听器
-        
-        Args:
-            event_type (typing.Type[mirai.Event]): YiriMirai事件类型
-            callback (typing.Callable[[mirai.Event], None]): 回调函数，接收一个参数，为YiriMirai事件
-        """
-        assert isinstance(self.bot, mirai.Mirai)
-        bus = self.bot.bus
-        assert isinstance(bus, mirai.models.bus.ModelEventBus)
-        
-        bus.unsubscribe(event_type, callback)
-
-    async def run_async(self):
-        self.bot_account_id = self.bot.qq
-        return await MiraiRunner(self.bot)._run()
-
-    async def kill(self) -> bool:
-        return False