restore: restore deleted provider requester files

Restore individual provider requester implementations that were
removed in de61b5d3. These files coexist with the unified
litellmchat.py backend.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

.dockerignore

@@ -0,0 +1,8 @@
+.github
+.venv
+.vscode
+.data
+.temp
+web/.next
+web/node_modules
+web/.env

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -0,0 +1,30 @@
+name: 漏洞反馈
+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://link.langbot.app/zh/docs/network  
+title: "[Bug]: "
+labels: ["bug?"]
+body:
+  - type: input
+    attributes:
+      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。**请附带日志信息。** 
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      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；**如果涉及 Dify、n8n、Langflow 等外部平台，请提供应用的导出文件（如 Dify 应用的 DSL），我们将更快回复您。**
+    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。
+    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://link.langbot.app/en/docs/network
+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.
+    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

@@ -0,0 +1,21 @@
+name: 需求建议
+title: "[Feature]: "
+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:
+      label: 这是一个？
+      description: 新功能建议还是现有功能优化
+      options:
+        - 新功能
+        - 现有功能优化
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 详细描述
+      description: 详细描述，越详细越好
+    validations:
+      required: true
+      

.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

@@ -0,0 +1,24 @@
+name: 提交新插件
+title: "[Plugin]: 请求登记新插件"
+labels: ["独立插件"]
+description: "【供中文用户】本模板供且仅供提交新插件使用"
+body:
+  - type: input
+    attributes:
+      label: 插件名称
+      description: 填写插件的名称
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 插件代码库地址
+      description: 仅支持 Github
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 插件简介
+      description: 插件的简介
+    validations:
+      required: true
+      

.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/ISSUE_TEMPLATE/漏洞反馈.md

@@ -1,24 +0,0 @@
----
-name: 漏洞反馈
-about: 报错或漏洞请使用这个模板创建
-title: "[BUG]"
-labels: 'bug'
-assignees: ''
-
----
-
-请认真按照实际情况填写以下信息！！！！
-
-**运行环境**
-- 部署方式：
-    手动部署/自动部署/Docker部署
-- 系统环境：
-    例如： Centos x64
-- Python环境（仅手动部署填写）：
-    例如： Python 3.10.9
-
-**描述漏洞**  
-什么时候发生的，mirai还是主程序，越详细越好
-
-**完整报错信息**  
-完整的报错信息

.github/ISSUE_TEMPLATE/需求建议.md

@@ -1,10 +0,0 @@
----
-name: 需求建议
-about: 软件优化建议请使用这个模板创建
-title: "[ENHANCE]"
-labels: 'enhancement'
-assignees: ''
-
----
-
-不是需求建议请勿填写此模板！！！！

.github/dependabot.yml

@@ -10,6 +10,4 @@ updates:
     schedule:
       interval: "weekly"
     allow:
-      - dependency-name: "yiri-mirai"
-      - dependency-name: "dulwich"
       - dependency-name: "openai"

.github/pull_request_template.md

@@ -0,0 +1,32 @@
+## 概述 / Overview
+
+> 请在此部分填写你实现/解决/优化的内容:  
+> Summary of what you implemented/solved/optimized:
+> 
+
+### 更改前后对比截图 / Screenshots
+
+> 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:
+> 
+
+## 检查清单 / Checklist
+
+### PR 作者完成 / For PR author
+
+*请在方括号间写`x`以打勾 / Please tick the box with `x`*
+
+- [ ] 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.
+
+### 项目维护者完成 / For project maintainer
+
+- [ ] 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

@@ -0,0 +1,47 @@
+name: Build Docker Image
+on:
+  ## 发布release的时候会自动构建
+  release:
+    types: [published]
+jobs:
+  publish-docker-image:
+    runs-on: ubuntu-latest
+    name: Build image
+    
+    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 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: Login to Registry
+        run: docker login --username=${{ secrets.DOCKER_USERNAME }} --password ${{ secrets.DOCKER_PASSWORD }}
+      - name: Create Buildx
+        run: docker buildx create --name mybuilder --use
+      - name: Build for Release # only relase, exlude pre-release
+        if: ${{ github.event.release.prerelease == false }}
+        run: docker buildx build --platform linux/arm64,linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} -t rockchin/langbot:latest . --push
+      - name: Build for Pre-release # no update for latest tag
+        if: ${{ github.event.release.prerelease == true }}
+        run: docker buildx build --platform linux/arm64,linux/amd64 -t rockchin/langbot:${{ 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
+          npx vite build
+      - name: Package Output
+        run: |
+          cp -r /tmp/langbot_build_web/web/dist ./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/check-i18n.yml

@@ -0,0 +1,25 @@
+name: Check i18n Keys
+
+on:
+  push:
+    branches:
+      - main
+      - master
+
+jobs:
+  check-i18n:
+    name: Check i18n Key Consistency
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '20'
+
+      - name: Check i18n keys against en-US reference
+        run: node web/scripts/check-i18n.mjs

.github/workflows/lint.yml

@@ -0,0 +1,60 @@
+name: Lint
+
+on:
+  push:
+    branches:
+      - main
+      - master
+      - dev
+  pull_request:
+    types: [opened, synchronize, reopened, ready_for_review]
+
+jobs:
+  ruff:
+    name: Ruff Lint & Format
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
+
+      - name: Install dependencies
+        run: uv sync --dev
+
+      - name: Run ruff check
+        run: uv run ruff check src
+
+      - name: Run ruff format
+        run: uv run ruff format src --check
+
+  frontend:
+    name: Frontend Lint
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '25'
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 9
+
+      - name: Install dependencies
+        working-directory: web
+        run: pnpm install
+
+      - name: Run lint
+        working-directory: web
+        run: pnpm lint

.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/dist
+          cp -r dist ../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: ['3.11', '3.12', '3.13']
+      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/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-migrations.yml

@@ -0,0 +1,171 @@
+name: Test Migrations
+
+on:
+  push:
+    branches:
+      - main
+      - master
+      - dev
+    paths:
+      - 'src/langbot/pkg/persistence/**'
+      - 'src/langbot/pkg/entity/persistence/**'
+  pull_request:
+    types: [opened, synchronize, reopened, ready_for_review]
+    paths:
+      - 'src/langbot/pkg/persistence/**'
+      - 'src/langbot/pkg/entity/persistence/**'
+
+jobs:
+  test-migrations-sqlite:
+    name: Migrations (SQLite)
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
+
+      - name: Install dependencies
+        run: uv sync --dev
+
+      - name: Test Alembic upgrade (SQLite)
+        run: |
+          uv run python -c "
+          import asyncio
+          from sqlalchemy.ext.asyncio import create_async_engine
+          from langbot.pkg.entity.persistence.base import Base
+          from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade, run_alembic_stamp, get_alembic_current
+
+          async def main():
+              engine = create_async_engine('sqlite+aiosqlite:///test_migrations.db')
+
+              # Create all tables (simulates existing DB)
+              async with engine.begin() as conn:
+                  await conn.run_sync(Base.metadata.create_all)
+
+              # Stamp baseline
+              await run_alembic_stamp(engine, '0001_baseline')
+              rev = await get_alembic_current(engine)
+              assert rev == '0001_baseline', f'Expected 0001_baseline, got {rev}'
+              print(f'Stamped: {rev}')
+
+              # Upgrade to head
+              await run_alembic_upgrade(engine, 'head')
+              rev = await get_alembic_current(engine)
+              print(f'After upgrade: {rev}')
+              assert rev is not None, 'Expected a revision after upgrade'
+
+              # Verify idempotent
+              await run_alembic_upgrade(engine, 'head')
+              rev2 = await get_alembic_current(engine)
+              assert rev2 == rev, f'Expected {rev}, got {rev2}'
+              print(f'Idempotent check passed: {rev2}')
+
+              # Fresh DB: upgrade from scratch
+              engine2 = create_async_engine('sqlite+aiosqlite:///test_migrations_fresh.db')
+              async with engine2.begin() as conn:
+                  await conn.run_sync(Base.metadata.create_all)
+              await run_alembic_upgrade(engine2, 'head')
+              rev3 = await get_alembic_current(engine2)
+              print(f'Fresh DB upgrade: {rev3}')
+              assert rev3 is not None
+
+              print('All SQLite migration tests passed!')
+
+          asyncio.run(main())
+          "
+
+  test-migrations-postgres:
+    name: Migrations (PostgreSQL)
+    runs-on: ubuntu-latest
+    services:
+      postgres:
+        image: postgres:16
+        env:
+          POSTGRES_USER: langbot
+          POSTGRES_PASSWORD: langbot
+          POSTGRES_DB: langbot_test
+        ports:
+          - 5432:5432
+        options: >-
+          --health-cmd="pg_isready -U langbot"
+          --health-interval=5s
+          --health-timeout=5s
+          --health-retries=5
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
+
+      - name: Install dependencies
+        run: uv sync --dev
+
+      - name: Test Alembic upgrade (PostgreSQL)
+        run: |
+          uv run python -c "
+          import asyncio
+          from sqlalchemy.ext.asyncio import create_async_engine
+          from langbot.pkg.entity.persistence.base import Base
+          from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade, run_alembic_stamp, get_alembic_current
+
+          DB_URL = 'postgresql+asyncpg://langbot:langbot@localhost:5432/langbot_test'
+
+          async def main():
+              engine = create_async_engine(DB_URL)
+
+              # Create all tables
+              async with engine.begin() as conn:
+                  await conn.run_sync(Base.metadata.create_all)
+
+              # Stamp baseline
+              await run_alembic_stamp(engine, '0001_baseline')
+              rev = await get_alembic_current(engine)
+              assert rev == '0001_baseline', f'Expected 0001_baseline, got {rev}'
+              print(f'Stamped: {rev}')
+
+              # Upgrade to head
+              await run_alembic_upgrade(engine, 'head')
+              rev = await get_alembic_current(engine)
+              print(f'After upgrade: {rev}')
+              assert rev is not None
+
+              # Verify idempotent
+              await run_alembic_upgrade(engine, 'head')
+              rev2 = await get_alembic_current(engine)
+              assert rev2 == rev, f'Expected {rev}, got {rev2}'
+              print(f'Idempotent check passed: {rev2}')
+
+              # Fresh DB: drop all and upgrade from scratch
+              engine2 = create_async_engine(DB_URL.replace('langbot_test', 'langbot_fresh'))
+
+              # Create fresh database
+              from sqlalchemy import text
+              async with engine.connect() as conn:
+                  await conn.execute(text('COMMIT'))
+                  await conn.execute(text('CREATE DATABASE langbot_fresh'))
+
+              async with engine2.begin() as conn:
+                  await conn.run_sync(Base.metadata.create_all)
+              await run_alembic_upgrade(engine2, 'head')
+              rev3 = await get_alembic_current(engine2)
+              print(f'Fresh DB upgrade: {rev3}')
+              assert rev3 is not None
+
+              print('All PostgreSQL migration tests passed!')
+
+          asyncio.run(main())
+          "

.gitignore

@@ -1,14 +1,57 @@
-config.py
+/config.py
 .idea/
 __pycache__/
 database.db
-qchatgpt.log
+langbot.log
 /banlist.py
-plugins/
-!plugins/__init__.py
+/plugins/
+!/plugins/__init__.py
 /revcfg.py
 prompts/
 logs/
 sensitive.json
 temp/
-current_tag
+current_tag
+scenario/
+!scenario/default-template.json
+override.json
+cookies.json
+data/labels/announcement_saved.json
+cmdpriv.json
+tips.py
+venv*
+bin/
+.vscode
+/test_*
+venv/
+hugchat.json
+qcapi
+claude.json
+bard.json
+/*yaml
+!.pre-commit-config.yaml
+!components.yaml
+!/docker-compose.yaml
+data/labels/instance_id.json
+.DS_Store
+/data
+botpy.log*
+/poc
+/libs/wecom_api/test.py
+/venv
+test.py
+/web_ui
+.venv/
+/test
+plugins.bak
+coverage.xml
+.coverage
+src/langbot/web/
+
+# Build artifacts
+/dist
+/build
+*.egg-info
+
+# Next.js build cache (legacy)
+web/.next/

.mcp.json

@@ -0,0 +1,37 @@
+{
+  "mcpServers": {
+    "shadcn": {
+      "command": "npx",
+      "args": [
+        "shadcn@latest",
+        "mcp"
+      ]
+    },
+    "sequential-thinking": {
+      "type": "stdio",
+      "command": "npx",
+      "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"],
+      "env": {}
+    },
+    "github": {
+      "type": "stdio",
+      "command": "npx",
+      "args": ["-y", "@modelcontextprotocol/server-github"],
+      "env": {
+        "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_PERSONAL_ACCESS_TOKEN}"
+      }
+    },
+    "fetch": {
+      "type": "stdio",
+      "command": "uvx",
+      "args": ["mcp-server-fetch"],
+      "env": {}
+    },
+    "playwright": {
+      "type": "stdio",
+      "command": "npx",
+      "args": ["-y", "@playwright/mcp@latest"],
+      "env": {}
+    }
+  }
+}

.pre-commit-config.yaml

@@ -0,0 +1,25 @@
+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: local
+    hooks:
+      - id: prettier
+        name: prettier
+        entry: npx --prefix web prettier --write --ignore-unknown
+        language: system
+        types_or: [javascript, jsx, ts, tsx, css, scss]
+
+      - 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 +1,88 @@
+# 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:
+
+- `./src/langbot`: The main python package of the project, below are the main modules in this package:
+    - `./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.
+- LangBot uses [Alembic](https://alembic.sqlalchemy.org/) to manage database migrations, supporting both SQLite and PostgreSQL. Migration files are located in `src/langbot/pkg/persistence/alembic/versions/`. If you changed the definition of database entities (ORM models), generate a new migration script by running `uv run python -m langbot.pkg.persistence.alembic_runner autogenerate "description of your change"` in the project root (requires `data/config.yaml` to exist). Review and edit the generated script before committing. Migrations are executed automatically on LangBot startup. For data migrations (e.g. modifying JSON field content), you need to manually add the migration code in the generated script.
+
+## 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

@@ -5,15 +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
+
+<hr/>
+
+## 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

@@ -0,0 +1,23 @@
+FROM node:22-alpine AS node
+
+WORKDIR /app
+
+COPY web ./web
+
+RUN cd web && npm install && npx vite build
+
+FROM python:3.12.7-slim
+
+WORKDIR /app
+
+COPY . .
+
+COPY --from=node /app/web/dist ./web/dist
+
+RUN apt update \
+    && apt install gcc -y \
+    && python -m pip install --no-cache-dir uv \
+    && uv sync \
+    && touch /.dockerenv
+
+CMD [ "uv", "run", "--no-sync", "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.
-
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-works, such as semiconductor masks.
-
-  "The Program" refers to any copyrightable work licensed under this
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-
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+                                 Apache License
+                           Version 2.0, January 2004
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README.md

@@ -1,235 +1,172 @@
-# QChatGPT🤖
-> 2023/3/3  官方接口疑似被墙，可考虑使用网络代理 [#198](https://github.com/RockChinQ/QChatGPT/issues/198)  
-> 2023/3/3  现已在主线支持官方ChatGPT接口，使用方法查看[#195](https://github.com/RockChinQ/QChatGPT/issues/195)  
-> 2023/3/2  OpenAI已发布ChatGPT官方接口，我们正在全力接入，预计明日前完成，请查看[此PR](https://github.com/RockChinQ/QChatGPT/pull/194)  
-> 2023/2/16 现已支持接入ChatGPT网页版，详情请完成部署并查看底部**插件**小节或[此仓库](https://github.com/RockChinQ/revLibs)
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
 
-- 到[项目Wiki](https://github.com/RockChinQ/QChatGPT/wiki)可了解项目详细信息
-- 由bilibili TheLazy制作的[视频教程](https://www.bilibili.com/video/BV15v4y1X7aP)
-- 交流、答疑群: ~~204785790~~（已满）、691226829、656285629  
-  - **进群提问前请您`确保`已经找遍文档和issue均无法解决**  
-- QQ频道机器人见[QQChannelChatGPT](https://github.com/Soulter/QQChannelChatGPT)
+<div align="center">
 
-通过调用OpenAI的ChatGPT等语言模型来实现一个更加智能的QQ机器人  
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
 
-## 🍺模型适配一览
+<h3>Production-grade platform for building agentic IM bots.</h3>
+<h4>Quickly build, debug, and ship AI bots to Slack, Discord, Telegram, WeChat, and more.</h4>
 
-### 文字对话
+English / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
 
-- OpenAI GPT-3.5模型(ChatGPT API), 本项目原生支持, 默认使用
-- OpenAI GPT-3模型, 本项目原生支持, 部署完成后前往config.py切换
-- ChatGPT网页版逆向API, 由[插件](https://github.com/RockChinQ/revLibs)接入
+[![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">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
 
-### 故事续写
+<a href="https://langbot.app">Website</a> ｜
+<a href="https://link.langbot.app/en/docs/features">Features</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">Docs</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
+<a href="https://space.langbot.app/cloud">Cloud</a> ｜
+<a href="https://space.langbot.app">Plugin Market</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">Roadmap</a>
 
-- NovelAI API, 由[插件](https://github.com/dominoar/QCPNovelAi)接入
+</div>
 
-### 图片绘制
+</p>
 
-- OpenAI DALL·E模型, 本项目原生支持, 使用方法查看[Wiki功能使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E5%8A%9F%E8%83%BD%E7%82%B9%E5%88%97%E4%B8%BE)
-- NovelAI API, 由[插件](https://github.com/dominoar/QCPNovelAi)接入
+---
 
-### 语音生成
+## What is LangBot?
 
-- TTS+VITS, 由[插件](https://github.com/dominoar/QChatPlugins)接入
+LangBot is an **open-source, production-grade platform** for building AI-powered instant messaging bots. It connects Large Language Models (LLMs) to any chat platform, enabling you to create intelligent agents that can converse, execute tasks, and integrate with your existing workflows.
 
-## ✅功能
+### Key Capabilities
 
-<details>
-<summary>✅支持敏感词过滤，避免账号风险</summary>
+- **AI Conversations & Agents** — Multi-turn dialogues, tool calling, multi-modal support, streaming output. Built-in RAG (knowledge base) with deep integration to [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Universal IM Platform Support** — One codebase for Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
+- **Production-Ready** — Access control, rate limiting, sensitive word filtering, comprehensive monitoring, and exception handling. Trusted by enterprises.
+- **Plugin Ecosystem** — Hundreds of plugins, event-driven architecture, component extensions, and [MCP protocol](https://modelcontextprotocol.io/) support.
+- **Web Management Panel** — Configure, manage, and monitor your bots through an intuitive browser interface. No YAML editing required.
+- **Multi-Pipeline Architecture** — Different bots for different scenarios, with comprehensive monitoring and exception handling.
 
-  - 难以监测机器人与用户对话时的内容，故引入此功能以减少机器人风险
-  - 加入了百度云内容审核，在`config.py`中修改`baidu_check`的值，并填写`baidu_api_key`和`baidu_secret_key`以开启此功能
-  - 编辑`sensitive.json`，并在`config.py`中修改`sensitive_word_filter`的值以开启此功能
-</details>
+[→ Learn more about all features](https://link.langbot.app/en/docs/features)
 
-<details>
-<summary>✅群内多种响应规则，不必at</summary>
+---
 
-  - 默认回复`ai`作为前缀或`@`机器人的消息
-  - 详细见`config.py`中的`response_rules`字段
-</details>
+## Quick Start
 
-<details>
-<summary>✅完善的多api-key管理，超额自动切换</summary>
+### ☁️ LangBot Cloud (Recommended)
 
-  - 支持配置多个`api-key`，内部统计使用量并在超额时自动切换
-  - 请在`config.py`中修改`openai_config`的值以设置`api-key`
-  - 可以在`config.py`中修改`api_key_fee_threshold`来自定义切换阈值
-  - 运行期间向机器人说`!usage`以查看当前使用情况
-</details>
+**[LangBot Cloud](https://space.langbot.app/cloud)** — Zero deployment, ready to use.
 
-<details>
-<summary>✅支持预设指令文字</summary>
-
-  - 支持以自然语言预设文字，自定义机器人人格等信息
-  - 详见`config.py`中的`default_prompt`部分
-  - 支持设置多个预设情景，并通过!reset、!default等指令控制，详细请查看[wiki指令](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%8C%87%E4%BB%A4)
-</details>
-
-<details>
-<summary>✅支持对话、绘图等模型，可玩性更高</summary>
-
-  - 现已支持OpenAI的对话`Completion API`和绘图`Image API`
-  - 向机器人发送指令`!draw <prompt>`即可使用绘图模型
-</details>
-<details>
-<summary>✅支持指令控制热重载、热更新</summary>
-
-  - 允许在运行期间修改`config.py`或其他代码后，以管理员账号向机器人发送指令`!reload`进行热重载，无需重启
-  - 运行期间允许以管理员账号向机器人发送指令`!update`进行热更新，拉取远程最新代码并执行热重载
-</details>
-<details>
-<summary>✅支持插件加载🧩</summary>
-
-  - 自行实现插件加载器及相关支持
-  - 详细查看[插件使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)
-</details>
-<details>
-<summary>✅私聊、群聊黑名单机制</summary>
-
-  - 支持将人或群聊加入黑名单以忽略其消息
-  - 详见Wiki`加入黑名单`节
-</details>
-<details>
-<summary>✅长消息处理策略</summary>
-
-  - 支持将长消息转换成图片或消息记录组件，避免消息刷屏
-  - 请查看`config.py`中`blob_message_strategy`等字段
-</details>
-<details>
-<summary>✅回复速度限制</summary>
-
-  - 支持限制单会话内每分钟可进行的对话次数
-  - 具有“等待”和“丢弃”两种策略
-    - “等待”策略：在获取到回复后，等待直到此次响应时间达到对话响应时间均值
-    - “丢弃”策略：此分钟内对话次数达到限制时，丢弃之后的对话
-  - 详细请查看config.py中的相关配置
-</details>
-
-详情请查看[Wiki功能使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E5%8A%9F%E8%83%BD%E7%82%B9%E5%88%97%E4%B8%BE)
-
-## 🔩部署
-
-**部署过程中遇到任何问题，请先在[QChatGPT](https://github.com/RockChinQ/QChatGPT/issues)或[qcg-installer](https://github.com/RockChinQ/qcg-installer/issues)的issue里进行搜索**
-
-### - 注册OpenAI账号
-
-参考以下文章自行注册
-
-> [国内注册ChatGPT的方法(100%可用)](https://www.pythonthree.com/register-openai-chatgpt/)
-> [手把手教你如何注册ChatGPT，超级详细](https://guxiaobei.com/51461)
-
-注册成功后请前往[个人中心查看](https://beta.openai.com/account/api-keys)api_key  
-完成注册后，使用以下自动化或手动部署步骤
-
-### - 自动化部署
-
-<details>
-<summary>展开查看，以下方式二选一，Linux首选Docker，Windows首选安装器</summary>
-
-#### Docker方式
-
-请查看此仓库[mikumifa/QChatGPT-Docker-Installer](https://github.com/mikumifa/QChatGPT-Docker-Installer)
-
-#### 安装器方式
-使用[此安装器](https://github.com/RockChinQ/qcg-installer)（若无法访问请到[Gitee](https://gitee.com/RockChin/qcg-installer)）进行部署
-
-- 安装器目前仅支持部分平台，请到仓库文档查看，其他平台请手动部署
-
-</details>
-
-### - 手动部署
-<details>
-<summary>手动部署适用于所有平台</summary>
-
-- 请使用Python 3.9.x以上版本   
-
-#### 配置Mirai
-
-按照[此教程](https://yiri-mirai.wybxc.cc/tutorials/01/configuration)配置Mirai及YiriMirai  
-启动mirai-console后，使用`login`命令登录QQ账号，保持mirai-console运行状态
-
-#### 配置主程序
-
-1. 克隆此项目
+### One-Line Launch
 
 ```bash
-git clone https://github.com/RockChinQ/QChatGPT
-cd QChatGPT
+uvx langbot
 ```
 
-2. 安装依赖
+> Requires [uv](https://docs.astral.sh/uv/getting-started/installation/). Visit http://localhost:5300 — done.
+
+### Docker Compose
 
 ```bash
-pip3 install yiri-mirai openai colorlog func_timeout
-pip3 install dulwich
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
 ```
 
-3. 运行一次主程序，生成配置文件
+### One-Click Cloud Deploy
 
-```bash
-python3 main.py
-```
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 
-4. 编辑配置文件`config.py`
+**More options:** [Docker](https://link.langbot.app/en/docs/docker) · [Manual](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
 
-按照文件内注释填写配置信息
+---
 
-5. 运行主程序
+## Supported Platforms
 
-```bash
-python3 main.py
-```
+| Platform | Status | Notes |
+|----------|--------|-------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | Personal & Official API |
+| WeCom | ✅ | Enterprise WeChat, External CS, AI Bot |
+| WeChat | ✅ | Personal & Official Account |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
 
-无报错信息即为运行成功
+---
 
-**常见问题**
+## Supported LLMs & Integrations
 
-- mirai登录提示`QQ版本过低`，见[此issue](https://github.com/RockChinQ/QChatGPT/issues/137)
-- 如提示安装`uvicorn`或`hypercorn`请*不要*安装，这两个不是必需的，目前存在未知原因bug
-- 如报错`TypeError: As of 3.10, the *loop* parameter was removed from Lock() since it is no longer necessary`, 请参考 [此处](https://github.com/RockChinQ/QChatGPT/issues/5)
+| Provider | Type | Status |
+|----------|------|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | Local LLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | Local LLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | Protocol | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | Gateway | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Gateway | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Gateway | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Gateway | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | Gateway | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU Platform | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU Platform | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU Platform | ✅ |
+| [接口 AI](https://jiekou.ai/) | Gateway | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | Gateway | ✅ |
 
-</details>
+[→ View all integrations](https://link.langbot.app/en/docs/features)
 
-## 🚀使用
+---
 
-查看[Wiki功能使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E4%BD%BF%E7%94%A8%E6%96%B9%E5%BC%8F)
+## Why LangBot?
 
-## 🧩插件生态
+| Use Case | How LangBot Helps |
+|----------|-------------------|
+| **Customer Support** | Deploy AI agents to Slack/Discord/Telegram that answer questions using your knowledge base |
+| **Internal Tools** | Connect n8n/Dify workflows to WeCom/DingTalk for automated business processes |
+| **Community Management** | Moderate QQ/Discord groups with AI-powered content filtering and interaction |
+| **Multi-Platform Presence** | One bot, all platforms. Manage from a single dashboard |
 
-现已支持自行开发插件对功能进行扩展或自定义程序行为  
-详见[Wiki插件使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)  
-开发教程见[Wiki插件开发页](https://github.com/RockChinQ/QChatGPT/wiki/%E6%8F%92%E4%BB%B6%E5%BC%80%E5%8F%91)
+---
 
-### 示例插件
+## Live Demo
 
-在`tests/plugin_examples`目录下，将其整个目录复制到`plugins`目录下即可使用
+**Try it now:** https://demo.langbot.dev/
+- Email: `demo@langbot.app`
+- Password: `langbot123456`
 
-- `cmdcn` - 主程序指令中文形式
-- `hello_plugin` - 在收到消息`hello`时回复相应消息
-- `urlikethisijustsix` - 收到冒犯性消息时回复相应消息
+*Note: Public demo environment. Do not enter sensitive information.*
 
-### 更多
+---
 
-欢迎提交新的插件
+## Community
 
-- [revLibs](https://github.com/RockChinQ/revLibs) - 将ChatGPT网页版接入此项目，关于[官方接口和网页版有什么区别](https://github.com/RockChinQ/QChatGPT/wiki/%E5%AE%98%E6%96%B9%E6%8E%A5%E5%8F%A3%E4%B8%8EChatGPT%E7%BD%91%E9%A1%B5%E7%89%88)
-- [hello_plugin](https://github.com/RockChinQ/hello_plugin) - `hello_plugin` 的储存库形式，插件开发模板
-- [dominoar/QChatPlugins](https://github.com/dominoar/QchatPlugins) - dominoar编写的诸多新功能插件（语言输出、Ranimg、屏蔽词规则等）
-- [dominoar/QCP-NovelAi](https://github.com/dominoar/QCP-NovelAi) - NovelAI 故事叙述与绘画
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
 
-## 😘致谢
+- [Discord Community](https://discord.gg/wdNEHETs87)
 
-- [@the-lazy-me](https://github.com/the-lazy-me) 为本项目制作[视频教程](https://www.bilibili.com/video/BV15v4y1X7aP)
-- [@mikumifa](https://github.com/mikumifa) 本项目Docker部署仓库开发者
-- [@dominoar](https://github.com/dominoar) 为本项目开发多种插件
-- [@hissincn](https://github.com/hissincn) 本项目贡献者
-- [@LINSTCL](https://github.com/LINSTCL)   GPT-3.5官方模型适配贡献者
-- [@Haibersut](https://github.com/Haibersut)  本项目贡献者
+---
 
-以及其他所有为本项目提供支持的朋友们。
+## Star History
 
-## 👍赞赏
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
 
-<img alt="赞赏码" src="res/mm_reward_qrcode_1672840549070.png" width="400" height="400"/>
+---
+
+## Contributors
+
+Thanks to all [contributors](https://github.com/langbot-app/LangBot/graphs/contributors) who have helped make LangBot better:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_CN.md

@@ -0,0 +1,195 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.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>
+
+<h3>生产级 AI 即时通信机器人开发平台。</h3>
+<h4>快速构建、调试和部署 AI 机器人到微信、QQ、飞书、Slack、Discord、Telegram 等平台。</h4>
+
+[English](README.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![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%A4-1030838208-blue)](https://qm.qq.com/q/DxZZcNxM1W)
+[![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">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+[![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
+
+<a href="https://langbot.app">官网</a> ｜
+<a href="https://link.langbot.app/zh/docs/features">特性</a> ｜
+<a href="https://link.langbot.app/zh/docs/guide">文档</a> ｜
+<a href="https://link.langbot.app/zh/docs/api">API</a> ｜
+<a href="https://space.langbot.app/cloud">Cloud</a> ｜
+<a href="https://space.langbot.app">插件市场</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">路线图</a>
+
+</div>
+
+</p>
+
+---
+
+LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时通信机器人。它将大语言模型（LLM）连接到各种聊天平台，帮助你创建能够对话、执行任务、并集成到现有工作流程中的智能 Agent。
+
+### 核心能力
+
+- **AI 对话与 Agent** — 多轮对话、工具调用、多模态、流式输出。自带 RAG（知识库），深度集成 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) 等 LLMOps 平台。
+- **全平台支持** — 一套代码，覆盖 QQ、微信、企业微信、飞书、钉钉、Discord、Telegram、Slack、LINE、KOOK 等平台。
+- **生产就绪** — 访问控制、限速、敏感词过滤、全面监控与异常处理，已被多家企业采用。
+- **插件生态** — 数百个插件，跨进程的事件驱动架构，组件扩展，适配 [MCP 协议](https://modelcontextprotocol.io/)。
+- **Web 管理面板** — 通过浏览器直观地配置、管理和监控机器人，无需手动编辑配置文件。
+- **多流水线架构** — 不同机器人用于不同场景，具备全面的监控和异常处理能力。
+
+[→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
+
+---
+
+## 快速开始
+
+### ☁️ LangBot Cloud（推荐）
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — 免部署，开箱即用。
+
+### 一键启动
+
+```bash
+uvx langbot
+```
+
+> 需要安装 [uv](https://docs.astral.sh/uv/getting-started/installation/)。访问 http://localhost:5300 即可使用。
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### 一键云部署
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**更多方式：** [Docker](https://link.langbot.app/zh/docs/docker) · [手动部署](https://link.langbot.app/zh/docs/manual-deploy) · [宝塔面板](https://link.langbot.app/zh/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## 支持的平台
+
+| 平台 | 状态 | 备注 |
+|------|------|------|
+| QQ | ✅ | 个人号、官方机器人（频道、私聊、群聊） |
+| 微信 | ✅ | 个人微信、微信公众号 |
+| 企业微信 | ✅ | 应用消息、对外客服、智能机器人 |
+| 飞书 | ✅ |  |
+| 钉钉 | ✅ |  |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| KOOK | ✅ |  |
+
+---
+
+## 支持的大模型与集成
+
+| 提供商 | 类型 | 状态 |
+|--------|------|------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [智谱AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | 本地 LLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | 本地 LLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | 协议 | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | 聚合平台 | ✅ |
+| [阿里云百炼](https://bailian.console.aliyun.com/) | 聚合平台 | ✅ |
+| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | 聚合平台 | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | 聚合平台 | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | 聚合平台 | ✅ |
+| [胜算云](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 平台 | ✅ |
+| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 平台 | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 平台 | ✅ |
+| [接口 AI](https://jiekou.ai/) | 聚合平台 | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
+| [小马算力](https://www.tokenpony.cn/453z1) | 聚合平台 | ✅ |
+| [百宝箱Tbox](https://www.tbox.cn/open) | 智能体平台 | ✅ |
+
+[→ 查看完整集成列表](https://link.langbot.app/zh/docs/features)
+
+### TTS（语音合成）
+
+| 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) |
+
+---
+
+## 为什么选择 LangBot？
+
+| 使用场景 | LangBot 如何帮助 |
+|----------|------------------|
+| **客户服务** | 将 AI Agent 部署到微信/企微/钉钉/飞书，基于知识库自动回答用户问题 |
+| **内部工具** | 将 n8n/Dify 工作流接入企微/钉钉，实现业务流程自动化 |
+| **社群运营** | 在 QQ/Discord 群中使用 AI 驱动的内容审核与智能互动 |
+| **多平台触达** | 一个机器人，覆盖所有平台。通过统一面板集中管理 |
+
+---
+
+## 在线演示
+
+**立即体验：** https://demo.langbot.dev/
+- 邮箱：`demo@langbot.app`
+- 密码：`langbot123456`
+
+*注意：公开演示环境，请不要在其中填入任何敏感信息。*
+
+---
+
+## 社区
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-1030838208-blue)](https://qm.qq.com/q/DxZZcNxM1W)
+
+- [Discord 社区](https://discord.gg/wdNEHETs87)
+- [QQ 社区群](https://qm.qq.com/q/DxZZcNxM1W)
+
+---
+
+## Star 趋势
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## 贡献者
+
+感谢所有[贡献者](https://github.com/langbot-app/LangBot/graphs/contributors)对 LangBot 的帮助：
+
+<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_ES.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>Plataforma de grado de producción para construir bots de mensajería instantánea con agentes de IA.</h3>
+<h4>Construya, depure y despliegue bots de IA rápidamente en Slack, Discord, Telegram, WeChat y más.</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / Español / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">Inicio</a> ｜
+<a href="https://link.langbot.app/en/docs/features">Características</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">Documentación</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
+<a href="https://space.langbot.app">Mercado de Plugins</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">Hoja de Ruta</a>
+
+</div>
+
+</p>
+
+---
+
+## ¿Qué es LangBot?
+
+LangBot es una **plataforma de código abierto y grado de producción** para construir bots de mensajería instantánea impulsados por IA. Conecta modelos de lenguaje de gran escala (LLMs) con cualquier plataforma de chat, permitiéndole crear agentes inteligentes que pueden conversar, ejecutar tareas e integrarse con sus flujos de trabajo existentes.
+
+### Capacidades Clave
+
+- **Conversaciones e Agentes IA** — Diálogos de múltiples turnos, llamadas a herramientas, soporte multimodal, salida en streaming. RAG (base de conocimientos) incorporado con integración profunda con [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Soporte Universal de Plataformas de MI** — Un solo código base para Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
+- **Listo para Producción** — Control de acceso, limitación de velocidad, filtrado de palabras sensibles, monitoreo completo y manejo de excepciones. De confianza para empresas.
+- **Ecosistema de Plugins** — Cientos de plugins, arquitectura basada en eventos, extensiones de componentes y soporte del [protocolo MCP](https://modelcontextprotocol.io/).
+- **Panel de Gestión Web** — Configure, gestione y monitoree sus bots a través de una interfaz de navegador intuitiva. Sin necesidad de editar YAML.
+- **Arquitectura Multi-Pipeline** — Diferentes bots para diferentes escenarios, con monitoreo completo y manejo de excepciones.
+
+[→ Conocer más sobre todas las funcionalidades](https://link.langbot.app/en/docs/features)
+
+---
+
+## Inicio Rápido
+
+### ☁️ LangBot Cloud (Recomendado)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — Sin despliegue, listo para usar.
+
+### Lanzamiento en una línea
+
+```bash
+uvx langbot
+```
+
+> Requiere [uv](https://docs.astral.sh/uv/getting-started/installation/). Visite http://localhost:5300 — listo.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### Despliegue en la Nube con un Clic
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**Más opciones:** [Docker](https://link.langbot.app/en/docs/docker) · [Manual](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## Plataformas Soportadas
+
+| Plataforma | Estado | Notas |
+|----------|--------|-------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | Personal y API Oficial |
+| WeCom | ✅ | WeChat Empresarial, CS Externo, AI Bot |
+| WeChat | ✅ | Personal y Cuenta Oficial |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## LLMs e Integraciones Soportadas
+
+| Proveedor | Tipo | Estado |
+|----------|------|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | LLM Local | ✅ |
+| [LM Studio](https://lmstudio.ai/) | LLM Local | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | Protocolo | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | Pasarela | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Pasarela | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Pasarela | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Pasarela | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | Pasarela | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Plataforma GPU | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plataforma GPU | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plataforma GPU | ✅ |
+| [接口 AI](https://jiekou.ai/) | Pasarela | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | Pasarela | ✅ |
+
+[→ Ver todas las integraciones](https://link.langbot.app/en/docs/features)
+
+---
+
+## ¿Por qué LangBot?
+
+| Caso de Uso | Cómo Ayuda LangBot |
+|----------|-------------------|
+| **Atención al cliente** | Despliegue agentes de IA en Slack/Discord/Telegram que respondan preguntas usando su base de conocimientos |
+| **Herramientas internas** | Conecte flujos de trabajo de n8n/Dify a WeCom/DingTalk para procesos empresariales automatizados |
+| **Gestión de comunidades** | Modere grupos de QQ/Discord con filtrado de contenido e interacción impulsados por IA |
+| **Presencia multiplataforma** | Un solo bot, todas las plataformas. Gestione desde un único panel de control |
+
+---
+
+## Demo en Vivo
+
+**Pruébelo ahora:** https://demo.langbot.dev/
+- Correo electrónico: `demo@langbot.app`
+- Contraseña: `langbot123456`
+
+*Nota: Entorno de demostración público. No ingrese información confidencial.*
+
+---
+
+## Comunidad
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Comunidad de Discord](https://discord.gg/wdNEHETs87)
+
+---
+
+## Historial de Stars
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## Colaboradores
+
+Gracias a todos los [colaboradores](https://github.com/langbot-app/LangBot/graphs/contributors) que han ayudado a mejorar LangBot:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_FR.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>Plateforme de niveau production pour construire des bots de messagerie instantanée avec agents IA.</h3>
+<h4>Créez, déboguez et déployez rapidement des bots IA sur Slack, Discord, Telegram, WeChat et plus.</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / Français / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">Accueil</a> ｜
+<a href="https://link.langbot.app/en/docs/features">Fonctionnalités</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">Documentation</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
+<a href="https://space.langbot.app">Marché des Plugins</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">Feuille de Route</a>
+
+</div>
+
+</p>
+
+---
+
+## Qu'est-ce que LangBot ?
+
+LangBot est une **plateforme open-source de niveau production** pour créer des bots de messagerie instantanée alimentés par l'IA. Elle connecte les grands modèles de langage (LLMs) à n'importe quelle plateforme de chat, vous permettant de créer des agents intelligents capables de converser, d'exécuter des tâches et de s'intégrer à vos workflows existants.
+
+### Capacités Clés
+
+- **Conversations IA & Agents** — Dialogues multi-tours, appels d'outils, support multimodal, sortie en streaming. RAG (base de connaissances) intégré avec intégration profonde de [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Support Universel des Plateformes de MI** — Un seul code pour Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
+- **Prêt pour la Production** — Contrôle d'accès, limitation de débit, filtrage de mots sensibles, surveillance complète et gestion des exceptions. Approuvé par les entreprises.
+- **Écosystème de Plugins** — Des centaines de plugins, architecture événementielle, extensions de composants, et support du [protocole MCP](https://modelcontextprotocol.io/).
+- **Panneau de Gestion Web** — Configurez, gérez et surveillez vos bots via une interface navigateur intuitive. Aucune édition de YAML requise.
+- **Architecture Multi-Pipeline** — Différents bots pour différents scénarios, avec surveillance complète et gestion des exceptions.
+
+[→ En savoir plus sur toutes les fonctionnalités](https://link.langbot.app/en/docs/features)
+
+---
+
+## Démarrage Rapide
+
+### ☁️ LangBot Cloud (Recommandé)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — Sans déploiement, prêt à utiliser.
+
+### Lancement en une ligne
+
+```bash
+uvx langbot
+```
+
+> Nécessite [uv](https://docs.astral.sh/uv/getting-started/installation/). Visitez http://localhost:5300 — c'est prêt.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### Déploiement Cloud en un Clic
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**Plus d'options :** [Docker](https://link.langbot.app/en/docs/docker) · [Manuel](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## Plateformes Supportées
+
+| Plateforme | Statut | Notes |
+|----------|--------|-------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | Personnel & API Officielle |
+| WeCom | ✅ | WeChat Entreprise, CS Externe, AI Bot |
+| WeChat | ✅ | Personnel & Compte Officiel |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## LLMs et Intégrations Supportés
+
+| Fournisseur | Type | Statut |
+|----------|------|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | LLM Local | ✅ |
+| [LM Studio](https://lmstudio.ai/) | LLM Local | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | Protocole | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | Passerelle | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Passerelle | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Passerelle | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Passerelle | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | Passerelle | ✅ |
+| [接口 AI](https://jiekou.ai/) | Passerelle | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | Passerelle | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Plateforme GPU | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plateforme GPU | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plateforme GPU | ✅ |
+
+[→ Voir toutes les intégrations](https://link.langbot.app/en/docs/features)
+
+---
+
+## Pourquoi LangBot ?
+
+| Cas d'Usage | Comment LangBot Aide |
+|----------|-------------------|
+| **Support Client** | Déployez des agents IA sur Slack/Discord/Telegram qui répondent aux questions en utilisant votre base de connaissances |
+| **Outils Internes** | Connectez les workflows n8n/Dify à WeCom/DingTalk pour automatiser vos processus métier |
+| **Gestion de Communauté** | Modérez les groupes QQ/Discord avec un filtrage de contenu et des interactions alimentés par l'IA |
+| **Présence Multi-plateforme** | Un seul bot, toutes les plateformes. Gérez tout depuis un tableau de bord unique |
+
+---
+
+## Démo en Ligne
+
+**Essayez maintenant :** https://demo.langbot.dev/
+- Email : `demo@langbot.app`
+- Mot de passe : `langbot123456`
+
+*Note : Environnement de démonstration public. Ne saisissez pas d'informations sensibles.*
+
+---
+
+## Communauté
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Communauté Discord](https://discord.gg/wdNEHETs87)
+
+---
+
+## Historique des Stars
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## Contributeurs
+
+Merci à tous les [contributeurs](https://github.com/langbot-app/LangBot/graphs/contributors) qui ont aidé à améliorer 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 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>AIエージェント搭載IMボットを構築するための本番グレードプラットフォーム。</h3>
+<h4>Slack、Discord、Telegram、WeChat などに AI ボットを素早く構築、デバッグ、デプロイ。</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / 日本語 / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">ホーム</a> ｜
+<a href="https://link.langbot.app/ja/docs/features">機能</a> ｜
+<a href="https://link.langbot.app/ja/docs/guide">ドキュメント</a> ｜
+<a href="https://link.langbot.app/ja/docs/api">API</a> ｜
+<a href="https://space.langbot.app">プラグインマーケット</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">ロードマップ</a>
+
+</div>
+
+</p>
+
+---
+
+## LangBot とは？
+
+LangBot は、AI搭載のインスタントメッセージングボットを構築するための**オープンソースの本番グレードプラットフォーム**です。大規模言語モデル（LLM）をあらゆるチャットプラットフォームに接続し、会話、タスク実行、既存のワークフローとの統合が可能なインテリジェントエージェントを作成できます。
+
+### 主な機能
+
+- **AI対話とエージェント** — マルチターン対話、ツール呼び出し、マルチモーダル対応、ストリーミング出力。RAG（ナレッジベース）を内蔵し、[Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) と深く統合。
+- **ユニバーサルIMプラットフォーム対応** — 単一のコードベースで Discord、Telegram、Slack、LINE、QQ、WeChat、WeCom、Lark、DingTalk、KOOK に対応。
+- **本番環境対応** — アクセス制御、レート制限、センシティブワードフィルタリング、包括的な監視、例外処理を搭載。エンタープライズの信頼に応える品質。
+- **プラグインエコシステム** — 数百のプラグイン、イベント駆動アーキテクチャ、コンポーネント拡張、[MCPプロトコル](https://modelcontextprotocol.io/)対応。
+- **Web管理パネル** — 直感的なブラウザインターフェースからボットの設定、管理、監視が可能。YAML編集は不要。
+- **マルチパイプラインアーキテクチャ** — 異なるシナリオに異なるボットを配置し、包括的な監視と例外処理を実現。
+
+[→ すべての機能について詳しく見る](https://link.langbot.app/ja/docs/features)
+
+---
+
+## クイックスタート
+
+### ☁️ LangBot Cloud（推奨）
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — デプロイ不要、すぐに使えます。
+
+### ワンライン起動
+
+```bash
+uvx langbot
+```
+
+> [uv](https://docs.astral.sh/uv/getting-started/installation/) が必要です。http://localhost:5300 にアクセスして完了。
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### ワンクリッククラウドデプロイ
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**その他:** [Docker](https://link.langbot.app/en/docs/docker) · [手動デプロイ](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## 対応プラットフォーム
+
+| プラットフォーム | ステータス | 備考 |
+|----------|--------|-------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | 個人 & 公式API |
+| WeCom | ✅ | 企業WeChat、外部CS、AIボット |
+| WeChat | ✅ | 個人 & 公式アカウント |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## 対応LLMと統合
+
+| プロバイダー | タイプ | ステータス |
+|----------|------|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | ローカルLLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | ローカルLLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | プロトコル | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | ゲートウェイ | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ゲートウェイ | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ゲートウェイ | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ゲートウェイ | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | ゲートウェイ | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPUプラットフォーム | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPUプラットフォーム | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPUプラットフォーム | ✅ |
+| [接口 AI](https://jiekou.ai/) | ゲートウェイ | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | ゲートウェイ | ✅ |
+
+[→ すべての統合を表示](https://link.langbot.app/en/docs/features)
+
+---
+
+## なぜ LangBot？
+
+| ユースケース | LangBot の活用方法 |
+|----------|-------------------|
+| **カスタマーサポート** | ナレッジベースを活用して質問に回答するAIエージェントをSlack/Discord/Telegramにデプロイ |
+| **社内ツール** | n8n/Difyのワークフローを WeCom/DingTalk に接続し、業務プロセスを自動化 |
+| **コミュニティ管理** | AI搭載のコンテンツフィルタリングとインタラクションでQQ/Discordグループをモデレーション |
+| **マルチプラットフォーム展開** | 1つのボットで全プラットフォームに対応。単一のダッシュボードから管理 |
+
+---
+
+## ライブデモ
+
+**今すぐ試す:** https://demo.langbot.dev/
+- メール: `demo@langbot.app`
+- パスワード: `langbot123456`
+
+*注意: 公開デモ環境です。機密情報を入力しないでください。*
+
+---
+
+## コミュニティ
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Discord コミュニティ](https://discord.gg/wdNEHETs87)
+
+---
+
+## Star 推移
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## コントリビューター
+
+LangBot をより良くするために貢献してくださったすべての[コントリビューター](https://github.com/langbot-app/LangBot/graphs/contributors)に感謝します:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_KO.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>AI 에이전트 IM 봇 구축을 위한 프로덕션 등급 플랫폼.</h3>
+<h4>Slack, Discord, Telegram, WeChat 등에 AI 봇을 빠르게 구축, 디버그 및 배포.</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / 한국어 / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">홈</a> ｜
+<a href="https://link.langbot.app/en/docs/features">기능</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">문서</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
+<a href="https://space.langbot.app">플러그인 마켓</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">로드맵</a>
+
+</div>
+
+</p>
+
+---
+
+## LangBot이란?
+
+LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈소스 프로덕션 등급 플랫폼**입니다. 대규모 언어 모델(LLM)을 모든 채팅 플랫폼에 연결하여 대화, 작업 실행, 기존 워크플로우와의 통합이 가능한 지능형 에이전트를 만들 수 있습니다.
+
+### 핵심 기능
+
+- **AI 대화 및 에이전트** — 멀티턴 대화, 도구 호출, 멀티모달 지원, 스트리밍 출력. 내장 RAG(지식 베이스)와 [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org) 심층 통합.
+- **유니버설 IM 플랫폼 지원** — 단일 코드베이스로 Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK 지원.
+- **프로덕션 레디** — 접근 제어, 속도 제한, 민감어 필터링, 종합 모니터링 및 예외 처리. 기업 환경에서 검증됨.
+- **플러그인 생태계** — 수백 개의 플러그인, 이벤트 기반 아키텍처, 컴포넌트 확장, [MCP 프로토콜](https://modelcontextprotocol.io/) 지원.
+- **웹 관리 패널** — 직관적인 브라우저 인터페이스로 봇을 구성, 관리 및 모니터링. YAML 편집 불필요.
+- **멀티 파이프라인 아키텍처** — 다양한 시나리오에 맞는 다양한 봇 구성, 종합 모니터링 및 예외 처리.
+
+[→ 모든 기능 자세히 보기](https://link.langbot.app/en/docs/features)
+
+---
+
+## 빠른 시작
+
+### ☁️ LangBot Cloud (추천)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — 배포 없이 바로 사용.
+
+### 원라인 실행
+
+```bash
+uvx langbot
+```
+
+> [uv](https://docs.astral.sh/uv/getting-started/installation/) 설치 필요. http://localhost:5300 방문 — 완료.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### 원클릭 클라우드 배포
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**더 많은 옵션:** [Docker](https://link.langbot.app/en/docs/docker) · [수동 배포](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## 지원 플랫폼
+
+| 플랫폼 | 상태 | 비고 |
+|--------|------|------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | 개인 및 공식 API |
+| WeCom | ✅ | 기업 WeChat, 외부 CS, AI Bot |
+| WeChat | ✅ | 개인 및 공식 계정 |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## 지원 LLM 및 통합
+
+| 제공자 | 유형 | 상태 |
+|--------|------|------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | 로컬 LLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | 로컬 LLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | 프로토콜 | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | 게이트웨이 | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | 게이트웨이 | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | 게이트웨이 | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | 게이트웨이 | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | 게이트웨이 | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 플랫폼 | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 플랫폼 | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 플랫폼 | ✅ |
+| [接口 AI](https://jiekou.ai/) | 게이트웨이 | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | 게이트웨이 | ✅ |
+
+[→ 모든 통합 보기](https://link.langbot.app/en/docs/features)
+
+---
+
+## 왜 LangBot인가?
+
+| 사용 사례 | LangBot 활용 방법 |
+|-----------|-------------------|
+| **고객 지원** | 지식 베이스를 활용하여 질문에 답변하는 AI 에이전트를 Slack/Discord/Telegram에 배포 |
+| **내부 도구** | n8n/Dify 워크플로우를 WeCom/DingTalk에 연결하여 비즈니스 프로세스 자동화 |
+| **커뮤니티 관리** | AI 기반 콘텐츠 필터링 및 상호작용으로 QQ/Discord 그룹 관리 |
+| **멀티 플랫폼** | 하나의 봇으로 모든 플랫폼 지원. 단일 대시보드에서 관리 |
+
+---
+
+## 라이브 데모
+
+**지금 체험:** https://demo.langbot.dev/
+- 이메일: `demo@langbot.app`
+- 비밀번호: `langbot123456`
+
+*참고: 공개 데모 환경입니다. 민감한 정보를 입력하지 마세요.*
+
+---
+
+## 커뮤니티
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Discord 커뮤니티](https://discord.gg/wdNEHETs87)
+
+---
+
+## Star 추이
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## 기여자
+
+LangBot을 더 나은 프로젝트로 만들어 주신 모든 [기여자](https://github.com/langbot-app/LangBot/graphs/contributors)분들께 감사드립니다:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_RU.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>Платформа производственного уровня для создания агентных IM-ботов.</h3>
+<h4>Быстро создавайте, отлаживайте и развертывайте ИИ-ботов в Slack, Discord, Telegram, WeChat и других платформах.</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / Русский / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">Главная</a> ｜
+<a href="https://link.langbot.app/en/docs/features">Возможности</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">Документация</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
+<a href="https://space.langbot.app">Магазин плагинов</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">Дорожная карта</a>
+
+</div>
+
+</p>
+
+---
+
+## Что такое LangBot?
+
+LangBot — это **платформа с открытым исходным кодом производственного уровня** для создания ИИ-ботов в мессенджерах. Она связывает большие языковые модели (LLM) с любой чат-платформой, позволяя создавать интеллектуальных агентов, которые могут вести диалоги, выполнять задачи и интегрироваться с вашими существующими рабочими процессами.
+
+### Ключевые возможности
+
+- **ИИ-диалоги и агенты** — Многораундовые диалоги, вызов инструментов, мультимодальная поддержка, потоковый вывод. Встроенная реализация RAG (база знаний) с глубокой интеграцией в [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Универсальная поддержка IM-платформ** — Единая кодовая база для Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
+- **Готовность к продакшену** — Контроль доступа, ограничение скорости, фильтрация чувствительных слов, комплексный мониторинг и обработка исключений. Проверено в корпоративной среде.
+- **Экосистема плагинов** — Сотни плагинов, событийно-ориентированная архитектура, расширения компонентов и поддержка [протокола MCP](https://modelcontextprotocol.io/).
+- **Веб-панель управления** — Настраивайте, управляйте и мониторьте ваших ботов через интуитивный браузерный интерфейс. Ручное редактирование YAML не требуется.
+- **Мультиконвейерная архитектура** — Разные боты для разных сценариев с комплексным мониторингом и обработкой исключений.
+
+[→ Подробнее обо всех возможностях](https://link.langbot.app/en/docs/features)
+
+---
+
+## Быстрый старт
+
+### ☁️ LangBot Cloud (Рекомендуется)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — Без развёртывания, готово к использованию.
+
+### Запуск одной командой
+
+```bash
+uvx langbot
+```
+
+> Требуется [uv](https://docs.astral.sh/uv/getting-started/installation/). Откройте http://localhost:5300 — готово.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### Облачное развертывание одним кликом
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**Другие варианты:** [Docker](https://link.langbot.app/en/docs/docker) · [Ручная установка](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## Поддерживаемые платформы
+
+| Платформа | Статус | Примечания |
+|-----------|--------|------------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | Личный и официальный API |
+| WeCom | ✅ | Корпоративный WeChat, внешний CS, AI-бот |
+| WeChat | ✅ | Личный и официальный аккаунт |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## Поддерживаемые LLM и интеграции
+
+| Провайдер | Тип | Статус |
+|-----------|-----|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | Локальный LLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | Локальный LLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | Протокол | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | Шлюз | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Шлюз | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Шлюз | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Шлюз | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | Шлюз | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | Шлюз | ✅ |
+| [接口 AI](https://jiekou.ai/) | Шлюз | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Платформа GPU | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Платформа GPU | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Платформа GPU | ✅ |
+
+[→ Смотреть все интеграции](https://link.langbot.app/en/docs/features)
+
+---
+
+## Почему LangBot?
+
+| Сценарий использования | Как помогает LangBot |
+|------------------------|----------------------|
+| **Поддержка клиентов** | Разверните ИИ-агентов в Slack/Discord/Telegram, которые отвечают на вопросы, используя вашу базу знаний |
+| **Внутренние инструменты** | Подключите рабочие процессы n8n/Dify к WeCom/DingTalk для автоматизации бизнес-процессов |
+| **Управление сообществом** | Модерируйте группы QQ/Discord с помощью ИИ-фильтрации контента и взаимодействия |
+| **Мультиплатформенное присутствие** | Один бот — все платформы. Управляйте из единой панели |
+
+---
+
+## Демо
+
+**Попробуйте прямо сейчас:** https://demo.langbot.dev/
+- Email: `demo@langbot.app`
+- Пароль: `langbot123456`
+
+*Примечание: Публичная демо-среда. Не вводите конфиденциальную информацию.*
+
+---
+
+## Сообщество
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Сообщество Discord](https://discord.gg/wdNEHETs87)
+
+---
+
+## История Stars
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## Участники
+
+Спасибо всем [участникам](https://github.com/langbot-app/LangBot/graphs/contributors), которые помогли сделать LangBot лучше:
+
+<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 +1,189 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.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>
+
+<h3>生產級 AI 即時通訊機器人開發平台。</h3>
+<h4>快速建構、除錯和部署 AI 機器人到微信、QQ、飛書、Slack、Discord、Telegram 等平台。</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / 繁體中文 / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-966235608-blue)](https://qm.qq.com/q/JLi38whHum)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+[![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
+
+<a href="https://langbot.app">官網</a> ｜
+<a href="https://link.langbot.app/zh/docs/features">特性</a> ｜
+<a href="https://link.langbot.app/zh/docs/guide">文件</a> ｜
+<a href="https://link.langbot.app/zh/docs/api">API</a> ｜
+<a href="https://space.langbot.app">外掛市場</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">路線圖</a>
+
+</div>
+
+</p>
+
+---
+
+## 什麼是 LangBot？
+
+LangBot 是一個**開源的生產級平台**，用於建構 AI 驅動的即時通訊機器人。它將大語言模型（LLM）連接到各種聊天平台，幫助你創建能夠對話、執行任務、並整合到現有工作流程中的智能 Agent。
+
+### 核心能力
+
+- **AI 對話與 Agent** — 多輪對話、工具調用、多模態、流式輸出。自帶 RAG（知識庫），深度整合 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) 等 LLMOps 平台。
+- **全平台支援** — 一套程式碼，覆蓋 QQ、微信、企業微信、飛書、釘釘、Discord、Telegram、Slack、LINE、KOOK 等平台。
+- **生產就緒** — 存取控制、限速、敏感詞過濾、全面監控與異常處理，已被多家企業採用。
+- **外掛生態** — 數百個外掛，事件驅動架構，組件擴展，適配 [MCP 協議](https://modelcontextprotocol.io/)。
+- **Web 管理面板** — 透過瀏覽器直觀地配置、管理和監控機器人，無需手動編輯設定檔。
+- **多流水線架構** — 不同機器人用於不同場景，具備全面的監控和異常處理能力。
+
+[→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
+
+---
+
+## 快速開始
+
+### ☁️ LangBot Cloud（推薦）
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — 免部署，開箱即用。
+
+### 一鍵啟動
+
+```bash
+uvx langbot
+```
+
+> 需要安裝 [uv](https://docs.astral.sh/uv/getting-started/installation/)。訪問 http://localhost:5300 即可使用。
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### 一鍵雲端部署
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**更多方式：** [Docker](https://link.langbot.app/zh/docs/docker) · [手動部署](https://link.langbot.app/zh/docs/manual-deploy) · [寶塔面板](https://link.langbot.app/zh/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## 支援的平台
+
+| 平台 | 狀態 | 備註 |
+|------|------|------|
+| QQ | ✅ | 個人號、官方機器人（頻道、私聊、群聊） |
+| 微信 | ✅ | 個人微信、微信公眾號 |
+| 企業微信 | ✅ | 應用訊息、對外客服、智能機器人 |
+| 飛書 | ✅ |  |
+| 釘釘 | ✅ |  |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## 支援的大模型與整合
+
+| 提供商 | 類型 | 狀態 |
+|--------|------|------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [智譜AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | 本地 LLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | 本地 LLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | 協議 | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | 聚合平台 | ✅ |
+| [阿里雲百煉](https://bailian.console.aliyun.com/) | 聚合平台 | ✅ |
+| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | 聚合平台 | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | 聚合平台 | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | 聚合平台 | ✅ |
+| [勝算雲](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 平台 | ✅ |
+| [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 平台 | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 平台 | ✅ |
+| [接口 AI](https://jiekou.ai/) | 聚合平台 | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
+
+### TTS（語音合成）
+
+| 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) |
+
+[→ 查看完整整合列表](https://link.langbot.app/zh/docs/features)
+
+---
+
+## 為什麼選擇 LangBot？
+
+| 使用場景 | LangBot 如何幫助 |
+|----------|------------------|
+| **客戶服務** | 將 AI Agent 部署到微信/企微/釘釘/飛書，基於知識庫自動回答使用者問題 |
+| **內部工具** | 將 n8n/Dify 工作流接入企微/釘釘，實現業務流程自動化 |
+| **社群運營** | 在 QQ/Discord 群中使用 AI 驅動的內容審核與智能互動 |
+| **多平台觸達** | 一個機器人，覆蓋所有平台。透過統一面板集中管理 |
+
+---
+
+## 線上演示
+
+**立即體驗：** https://demo.langbot.dev/
+- 信箱：`demo@langbot.app`
+- 密碼：`langbot123456`
+
+*注意：公開演示環境，請不要在其中填入任何敏感資訊。*
+
+---
+
+## 社群
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](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)
+
+- [Discord 社群](https://discord.gg/wdNEHETs87)
+- [QQ 社群群](https://qm.qq.com/q/JLi38whHum)
+
+---
+
+## Star 趨勢
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## 貢獻者
+
+感謝所有[貢獻者](https://github.com/langbot-app/LangBot/graphs/contributors)對 LangBot 的幫助：
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_VI.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>Nền tảng cấp sản xuất để xây dựng bot IM với AI agent.</h3>
+<h4>Xây dựng, gỡ lỗi và triển khai bot AI nhanh chóng trên Slack, Discord, Telegram, WeChat và nhiều nền tảng khác.</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / Tiếng Việt
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">Trang chủ</a> ｜
+<a href="https://link.langbot.app/en/docs/features">Tính năng</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">Tài liệu</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
+<a href="https://space.langbot.app">Chợ Plugin</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">Lộ trình</a>
+
+</div>
+
+</p>
+
+---
+
+## LangBot là gì?
+
+LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để xây dựng bot nhắn tin tức thời được hỗ trợ bởi AI. Nó kết nối các Mô hình Ngôn ngữ Lớn (LLM) với bất kỳ nền tảng chat nào, cho phép bạn tạo các agent thông minh có thể trò chuyện, thực hiện tác vụ và tích hợp với quy trình làm việc hiện có của bạn.
+
+### Khả năng chính
+
+- **Hội thoại AI & Agent** — Đối thoại nhiều lượt, gọi công cụ, hỗ trợ đa phương thức, đầu ra streaming. RAG (cơ sở kiến thức) tích hợp sẵn với tích hợp sâu vào [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Hỗ trợ đa nền tảng IM** — Một mã nguồn cho Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
+- **Sẵn sàng cho sản xuất** — Kiểm soát truy cập, giới hạn tốc độ, lọc từ nhạy cảm, giám sát toàn diện và xử lý ngoại lệ. Được doanh nghiệp tin dùng.
+- **Hệ sinh thái Plugin** — Hàng trăm plugin, kiến trúc hướng sự kiện, mở rộng thành phần, và hỗ trợ [giao thức MCP](https://modelcontextprotocol.io/).
+- **Bảng quản lý Web** — Cấu hình, quản lý và giám sát bot thông qua giao diện trình duyệt trực quan. Không cần chỉnh sửa YAML.
+- **Kiến trúc đa Pipeline** — Các bot khác nhau cho các kịch bản khác nhau, với giám sát toàn diện và xử lý ngoại lệ.
+
+[→ Tìm hiểu thêm về tất cả tính năng](https://link.langbot.app/en/docs/features)
+
+---
+
+## Bắt đầu nhanh
+
+### ☁️ LangBot Cloud (Khuyên dùng)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — Không cần triển khai, sẵn sàng sử dụng.
+
+### Khởi chạy một dòng
+
+```bash
+uvx langbot
+```
+
+> Yêu cầu [uv](https://docs.astral.sh/uv/getting-started/installation/). Truy cập http://localhost:5300 — xong.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### Triển khai đám mây một cú nhấp
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**Thêm tùy chọn:** [Docker](https://link.langbot.app/en/docs/docker) · [Thủ công](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## Nền tảng được hỗ trợ
+
+| Nền tảng | Trạng thái | Ghi chú |
+|----------|--------|-------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | Cá nhân & API chính thức |
+| WeCom | ✅ | WeChat doanh nghiệp, CS bên ngoài, AI Bot |
+| WeChat | ✅ | Cá nhân & Tài khoản công khai |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## LLM và tích hợp được hỗ trợ
+
+| Nhà cung cấp | Loại | Trạng thái |
+|----------|------|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | LLM cục bộ | ✅ |
+| [LM Studio](https://lmstudio.ai/) | LLM cục bộ | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | Giao thức | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | Cổng | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Cổng | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Cổng | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Cổng | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | Cổng | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Nền tảng GPU | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Nền tảng GPU | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Nền tảng GPU | ✅ |
+| [接口 AI](https://jiekou.ai/) | Cổng | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | Cổng | ✅ |
+
+[→ Xem tất cả tích hợp](https://link.langbot.app/en/docs/features)
+
+---
+
+## Tại sao chọn LangBot?
+
+| Trường hợp sử dụng | LangBot giúp như thế nào |
+|----------|-------------------|
+| **Hỗ trợ khách hàng** | Triển khai agent AI trên Slack/Discord/Telegram để trả lời câu hỏi bằng cơ sở kiến thức của bạn |
+| **Công cụ nội bộ** | Kết nối quy trình n8n/Dify với WeCom/DingTalk để tự động hóa quy trình kinh doanh |
+| **Quản lý cộng đồng** | Quản lý nhóm QQ/Discord với tính năng lọc nội dung và tương tác được hỗ trợ bởi AI |
+| **Đa nền tảng** | Một bot, tất cả nền tảng. Quản lý từ một bảng điều khiển duy nhất |
+
+---
+
+## Demo trực tuyến
+
+**Thử ngay:** https://demo.langbot.dev/
+- Email: `demo@langbot.app`
+- Mật khẩu: `langbot123456`
+
+*Lưu ý: Môi trường demo công khai. Không nhập thông tin nhạy cảm.*
+
+---
+
+## Cộng đồng
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Cộng đồng Discord](https://discord.gg/wdNEHETs87)
+
+---
+
+## Lịch sử Star
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## Người đóng góp
+
+Cảm ơn tất cả [người đóng góp](https://github.com/langbot-app/LangBot/graphs/contributors) đã giúp LangBot trở nên tốt hơn:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

banlist-template.py

@@ -1,20 +0,0 @@
-# 是否启用禁用列表
-enable = True
-
-# 禁用规则（黑名单）
-# person为个人，其中的QQ号会被禁止与机器人进行私聊或群聊交互
-# 示例: person = [2854196310, 1234567890, 9876543210]
-# group为群组，其中的群号会被禁止与机器人进行交互
-# 示例: group = [123456789, 987654321, 1234567890]
-#
-# 支持正则表达式，字符串都将被识别为正则表达式，例如：
-# person = [12345678, 87654321, "2854.*"]
-# group = [123456789, 987654321, "1234.*"]
-# 若要排除某个QQ号或群号（即允许使用），可以在前面加上"!"，例如：
-# person = ["!1234567890"]
-# group = ["!987654321"]
-# 排除规则优先级高于包含规则，即如果同时存在包含规则和排除规则，排除规则将生效，例如：
-# person = ["1234.*", "!1234567890"]
-# 那么1234567890将不会被禁用，而其他以1234开头的QQ号都会被禁用
-person = [2854196310]  # 2854196310是Q群管家机器人的QQ号，默认屏蔽以免出现循环
-group = [204785790, 691226829]  # 本项目交流群的群号，默认屏蔽，避免在交流群测试机器人

codecov.yml

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

config-template.py

@@ -1,259 +0,0 @@
-# 配置文件: 注释里标[必需]的参数必须修改, 其他参数根据需要修改, 但请勿删除
-import logging
-
-# [必需] Mirai的配置
-# 请到配置mirai的步骤中的教程查看每个字段的信息
-# adapter: 选择适配器，目前支持HTTPAdapter和WebSocketAdapter
-# host: 运行mirai的主机地址
-# port: 运行mirai的主机端口
-# verifyKey: mirai-api-http的verifyKey
-# qq: 机器人的QQ号
-#
-# 注意: QQ机器人配置不支持热重载及热更新
-mirai_http_api_config = {
-    "adapter": "WebSocketAdapter",
-    "host": "localhost",
-    "port": 8080,
-    "verifyKey": "yirimirai",
-    "qq": 1234567890
-}
-
-# [必需] OpenAI的配置
-# api_key: OpenAI的API Key
-# http_proxy: 请求OpenAI时使用的代理，None为不使用，https和socks5暂不能使用
-# 若只有一个api-key，请直接修改以下内容中的"openai_api_key"为你的api-key
-#
-# 如准备了多个api-key，可以以字典的形式填写，程序会自动选择可用的api-key
-# 例如
-# openai_config = {
-#     "api_key": {
-#         "default": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
-#         "key1": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
-#         "key2": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
-#     },
-#     "http_proxy": "http://127.0.0.1:12345"
-# }
-openai_config = {
-    "api_key": {
-        "default": "openai_api_key"
-    },
-    "http_proxy": None
-}
-
-# [必需] 管理员QQ号，用于接收报错等通知及执行管理员级别指令
-# 支持多个管理员，可以使用list形式设置，例如：
-# admin_qq = [12345678, 87654321]
-admin_qq = 0
-
-# 情景预设（机器人人格）
-# 每个会话的预设信息，影响所有会话，无视指令重置
-# 可以通过这个字段指定某些情况的回复，可直接用自然语言描述指令
-# 例如: 
-# default_prompt = "如果我之后想获取帮助，请你说“输入!help获取帮助”"
-#   这样用户在不知所措的时候机器人就会提示其输入!help获取帮助
-# 可参考 https://github.com/PlexPt/awesome-chatgpt-prompts-zh
-#
-# 如果需要多个情景预设，并在运行期间方便切换，请使用字典的形式填写，例如
-# default_prompt = {
-#   "default": "如果我之后想获取帮助，请你说“输入!help获取帮助”",
-#   "linux-terminal": "我想让你充当 Linux 终端。我将输入命令，您将回复终端应显示的内容。",
-#   "en-dict": "我想让你充当英英词典，对于给出的英文单词，你要给出其中文意思以及英文解释，并且给出一个例句，此外不要有其他反馈。",
-# }
-#
-# 在使用期间即可通过指令：
-# !reset [名称]
-#   来使用指定的情景预设重置会话
-# 例如：
-# !reset linux-terminal
-# 若不指定名称，则使用默认情景预设
-# 
-# 也可以使用指令：
-# !default <名称>
-#   将指定的情景预设设置为默认情景预设
-# 例如：
-# !default linux-terminal
-# 之后的会话重置时若不指定名称，则使用linux-terminal情景预设
-# 
-# 还可以加载文件中的预设文字，使用方法请查看：https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E9%A2%84%E8%AE%BE%E6%96%87%E5%AD%97
-default_prompt = {
-    "default": "如果我之后想获取帮助，请你说“输入!help获取帮助”",
-}
-
-# 群内响应规则
-# 符合此消息的群内消息即使不包含at机器人也会响应
-# 支持消息前缀匹配及正则表达式匹配
-# 支持设置是否响应at消息、随机响应概率
-# 注意：由消息前缀(prefix)匹配的消息中将会删除此前缀，正则表达式(regexp)匹配的消息不会删除匹配的部分
-#      前缀匹配优先级高于正则表达式匹配
-# 正则表达式简明教程：https://www.runoob.com/regexp/regexp-tutorial.html
-response_rules = {
-    "at": True,  # 是否响应at机器人的消息
-    "prefix": ["/ai", "!ai", "！ai", "ai"],
-    "regexp": [],  # "为什么.*", "怎么?样.*", "怎么.*", "如何.*", "[Hh]ow to.*", "[Ww]hy not.*", "[Ww]hat is.*", ".*怎么办", ".*咋办"
-    "random_rate": 0.0,  # 随机响应概率，0.0-1.0，0.0为不随机响应，1.0为响应所有消息, 仅在前几项判断不通过时生效
-}
-
-# 消息忽略规则
-# 适用于私聊及群聊
-# 符合此规则的消息将不会被响应
-# 支持消息前缀匹配及正则表达式匹配
-# 此设置优先级高于response_rules
-# 用以过滤mirai等其他层级的指令
-# @see https://github.com/RockChinQ/QChatGPT/issues/165
-ignore_rules = {
-    "prefix": ["/"],
-    "regexp": []
-}
-
-# 是否检查收到的消息中是否包含敏感词
-# 若收到的消息无法通过下方指定的敏感词检查策略，则发送提示信息
-income_msg_check = False
-
-# 敏感词过滤开关，以同样数量的*代替敏感词回复
-# 请在sensitive.json中添加敏感词
-sensitive_word_filter = True
-
-# 是否启用百度云内容安全审核
-# 注册方式查看 https://cloud.baidu.com/doc/ANTIPORN/s/Wkhu9d5iy
-baidu_check = False
-
-# 百度云API_KEY 24位英文数字字符串
-baidu_api_key = ""
-
-# 百度云SECRET_KEY 32位的英文数字字符串
-baidu_secret_key = ""
-
-# 不合规消息自定义返回
-inappropriate_message_tips = "[百度云]请珍惜机器人，当前返回内容不合规"
-
-# 启动时是否发送赞赏码
-# 仅当使用量已经超过2048字时发送
-encourage_sponsor_at_start = True
-
-# 每次向OpenAI接口发送对话记录上下文的字符数
-# 最大不超过(4096 - max_tokens)个字符，max_tokens为下方completion_api_params中的max_tokens
-# 注意：较大的prompt_submit_length会导致OpenAI账户额度消耗更快
-prompt_submit_length = 1024
-
-# OpenAI补全API的参数
-# 请在下方填写模型，程序自动选择接口
-# 现已支持的模型有：
-# 
-#    'gpt-3.5-turbo'
-#    'gpt-3.5-turbo-0301'
-#    'text-davinci-003'
-#    'text-davinci-002'
-#    'code-davinci-002'
-#    'code-cushman-001'
-#    'text-curie-001'
-#    'text-babbage-001'
-#    'text-ada-001'
-#
-# 具体请查看OpenAI的文档: https://beta.openai.com/docs/api-reference/completions/create
-completion_api_params = {
-    "model": "gpt-3.5-turbo",
-    "temperature": 0.9,  # 数值越低得到的回答越理性，取值范围[0, 1]
-    "max_tokens": 1024,  # 每次获取OpenAI接口响应的文字量上限, 不高于4096
-    "top_p": 1,  # 生成的文本的文本与要求的符合度, 取值范围[0, 1]
-    "frequency_penalty": 0.2,
-    "presence_penalty": 1.0,
-}
-
-# OpenAI的Image API的参数
-# 具体请查看OpenAI的文档: https://beta.openai.com/docs/api-reference/images/create
-image_api_params = {
-    "size": "256x256",  # 图片尺寸，支持256x256, 512x512, 1024x1024
-}
-
-# 群内回复消息时是否引用原消息
-quote_origin = True
-
-# 回复绘图时是否包含图片描述
-include_image_description = True
-
-# 消息处理的超时时间，单位为秒
-process_message_timeout = 30
-
-# 回复消息时是否显示[GPT]前缀
-show_prefix = False
-
-# 应用长消息处理策略的阈值
-# 当回复消息长度超过此值时，将使用长消息处理策略
-blob_message_threshold = 256
-
-# 长消息处理策略
-# - "image": 将长消息转换为图片发送
-# - "forward": 将长消息转换为转发消息组件发送
-blob_message_strategy = "forward"
-
-# 文字转图片时使用的字体文件路径
-# 当策略为"image"时生效
-#   若在Windows系统下，程序会自动使用Windows自带的微软雅黑字体
-#   若未填写或不存在且不是Windows，将禁用文字转图片功能，改为使用转发消息组件
-font_path = ""
-
-# 消息处理超时重试次数
-retry_times = 3
-
-# 消息处理出错时是否向用户隐藏错误详细信息
-# 设置为True时，仅向管理员发送错误详细信息
-# 设置为False时，向用户及管理员发送错误详细信息
-hide_exce_info_to_user = False
-
-# 消息处理出错时向用户发送的提示信息
-# 仅当hide_exce_info_to_user为True时生效
-# 设置为空字符串时，不发送提示信息
-alter_tip_message = '出错了，请稍后再试'
-
-# 机器人线程池大小
-# 该参数决定机器人可以同时处理几个人的消息，超出线程池数量的请求会被阻塞，不会被丢弃
-# 如果你不清楚该参数的意义，请不要更改
-pool_num = 10
-
-# 每个会话的过期时间，单位为秒
-# 默认值20分钟
-session_expire_time = 60 * 20
-
-# 会话限速
-# 单会话内每分钟可进行的对话次数
-# 若不需要限速，可以设置为一个很大的值
-# 默认值60次，基本上不会触发限速
-rate_limitation = 60
-
-# 会话限速策略
-# - "wait": 每次对话获取到回复时，等待一定时间再发送回复，保证其不会超过限速均值
-# - "drop": 此分钟内，若对话次数超过限速次数，则丢弃之后的对话，每自然分钟重置
-rate_limit_strategy = "wait"
-
-# drop策略时，超过限速均值时，丢弃的对话的提示信息
-# 仅当rate_limitation_strategy为"drop"时生效
-# 若设置为空字符串，则不发送提示信息
-rate_limit_drop_tip = "本分钟对话次数超过限速次数，此对话被丢弃"
-
-# 是否在启动时进行依赖库更新
-upgrade_dependencies = True
-
-# 是否上报统计信息
-# 用于统计机器人的使用情况，不会收集任何用户信息
-# 仅上报时间、字数使用量、绘图使用量，其他信息不会上报
-report_usage = True
-
-# 日志级别
-logging_level = logging.INFO
-
-# 定制帮助消息
-help_message = """此机器人通过调用OpenAI的GPT-3大型语言模型生成回复，不具有情感。
-你可以用自然语言与其交流，回复的消息中[GPT]开头的为模型生成的语言，[bot]开头的为程序提示。
-了解此项目请找QQ 1010553892 联系作者
-请不要用其生成整篇文章或大段代码，因为每次只会向模型提交少部分文字，生成大部分文字会产生偏题、前后矛盾等问题
-每次会话最后一次交互后{}分钟后会自动结束，结束后将开启新会话，如需继续前一次会话请发送 !last 重新开启
-欢迎到github.com/RockChinQ/QChatGPT 给个star
-
-帮助信息：
-!help - 显示帮助
-!reset - 重置会话
-!last - 切换到前一次的对话
-!next - 切换到后一次的对话
-!prompt - 显示当前对话所有内容
-!list - 列出所有历史会话
-!usage - 列出各个api-key的使用量""".format(session_expire_time // 60)

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://link.langbot.app/zh/docs/docker)
+- [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://link.langbot.app/zh/docs/docker)
+- [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 +1,37 @@
+# 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
+    volumes:
+      - ./data/plugins:/app/data/plugins
+    ports:
+      - 5401:5401
+    restart: on-failure
+    environment:
+      - TZ=Asia/Shanghai
+    command: ["uv", "run", "--no-sync", "-m", "langbot_plugin.cli.__init__", "rt"]
+    networks:
+      - langbot_network
+
+  langbot:
+    image: rockchin/langbot:latest
+    container_name: langbot
+    volumes:
+      - ./data:/app/data
+    restart: on-failure
+    environment:
+      - TZ=Asia/Shanghai
+    ports:
+      - 5300:5300  # For web ui and webhook callback
+      - 2280-2285:2280-2285  # For platform reverse connection
+    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/MIGRATION_SUMMARY.md

@@ -0,0 +1,412 @@
+# WebChat 到 WebSocket 迁移总结
+
+## 概述
+
+已完全移除旧的基于SSE的WebChat系统，并替换为基于WebSocket的双向实时通信系统。这是一个内置在LangBot中的完整IM系统，支持流式输出。
+
+## 已删除的文件
+
+### 后端
+- ❌ `src/langbot/pkg/api/http/controller/groups/pipelines/webchat.py` - 旧的SSE路由
+- ❌ `src/langbot/pkg/platform/sources/webchat.py` - 旧的WebChat适配器
+- ❌ `src/langbot/pkg/platform/sources/webchat.yaml` - 旧的配置文件
+
+### 前端
+- ❌ BackendClient中所有SSE相关代码已完全移除
+- ❌ DebugDialog中所有SSE相关逻辑已完全替换
+
+## 新增的文件
+
+### 后端核心文件
+
+**1. WebSocket连接管理器**
+```
+src/langbot/pkg/platform/sources/websocket_manager.py
+```
+- 管理所有并发WebSocket连接
+- 线程安全的连接池
+- 按流水线、会话类型分组
+- 广播和单播消息功能
+- 连接统计和监控
+
+**2. WebSocket适配器**
+```
+src/langbot/pkg/platform/sources/websocket_adapter.py
+```
+- 实现平台适配器接口
+- **完整流式支持** (`reply_message_chunk` 方法)
+- 双向消息流处理
+- 消息历史管理
+- 会话管理
+
+**3. WebSocket路由控制器**
+```
+src/langbot/pkg/api/http/controller/groups/pipelines/websocket_chat.py
+```
+- WebSocket端点处理
+- REST API接口
+- 心跳机制
+- 连接生命周期管理
+
+**4. 配置文件**
+```
+src/langbot/pkg/platform/sources/websocket.yaml
+```
+- WebSocket适配器元数据
+
+### 前端核心文件
+
+**1. WebSocket客户端**
+```
+web/src/app/infra/websocket/WebSocketClient.ts
+```
+- WebSocket连接管理
+- 自动重连（最多5次）
+- 心跳机制（30秒）
+- 事件回调系统
+
+**2. 更新的组件**
+```
+web/src/app/home/pipelines/components/debug-dialog/DebugDialog.tsx
+```
+- 完全重写，使用WebSocket
+- 实时连接状态显示
+- 流式消息支持
+- 自动重连
+
+**3. HTTP客户端更新**
+```
+web/src/app/infra/http/BackendClient.ts
+```
+- 移除所有旧的WebChat API
+- 仅保留WebSocket API
+
+### 测试工具
+
+**Python测试客户端**
+```
+test_websocket_client.py
+```
+- 单连接交互测试
+- 多连接并发测试
+- 命令行工具
+
+### 文档
+
+**使用文档**
+```
+WEBSOCKET_README.md
+```
+- 完整的API文档
+- 架构说明
+- 使用示例
+- 故障排查
+
+## 核心变更
+
+### 后端变更
+
+**1. botmgr.py**
+- ❌ 移除 `webchat_proxy_bot`
+- ✅ 仅保留 `websocket_proxy_bot`
+- ✅ 更新适配器过滤逻辑（排除`websocket`而非`webchat`）
+
+**2. 适配器注册**
+```python
+# 旧代码（已删除）
+webchat_adapter_class = self.adapter_dict['webchat']
+self.webchat_proxy_bot = RuntimeBot(...)
+
+# 新代码
+websocket_adapter_class = self.adapter_dict['websocket']
+self.websocket_proxy_bot = RuntimeBot(
+    uuid='websocket-proxy-bot',
+    name='WebSocket',
+    adapter='websocket',
+    ...
+)
+```
+
+### 前端变更
+
+**1. API调用完全更换**
+
+旧代码（已删除）:
+```typescript
+// SSE流式请求
+await fetch(url, {
+  method: 'POST',
+  body: JSON.stringify({ is_stream: true })
+})
+// 手动解析 text/event-stream
+```
+
+新代码:
+```typescript
+// WebSocket实时通信
+const wsClient = new WebSocketClient(pipelineId, sessionType);
+await wsClient.connect();
+
+wsClient.onMessage((message) => {
+  // 流式消息自动处理
+  setMessages(prev => [...prev, message]);
+});
+
+wsClient.sendMessage(messageChain);
+```
+
+**2. 连接状态管理**
+
+新增功能:
+- ✅ 实时连接状态指示器（绿色/红色圆点）
+- ✅ 连接/断开toast提示
+- ✅ 自动重连逻辑
+- ✅ 心跳保活
+
+**3. 流式支持**
+
+完整的流式消息处理:
+```typescript
+wsClient.onMessage((message) => {
+  if (message.is_final) {
+    // 最终消息
+    finalizeBotMessage(message);
+  } else {
+    // 中间消息块，实时更新UI
+    updateBotMessage(message);
+  }
+});
+```
+
+## API对比
+
+### WebSocket端点
+
+**连接**
+```
+ws://localhost:8000/api/v1/pipelines/<pipeline_uuid>/ws/connect?session_type=<person|group>
+```
+
+**消息格式**
+
+客户端发送:
+```json
+{
+  "type": "message",
+  "message": [
+    {"type": "Plain", "text": "你好"}
+  ]
+}
+```
+
+服务器响应（流式）:
+```json
+{
+  "type": "response",
+  "data": {
+    "id": 1,
+    "role": "assistant",
+    "content": "你好，我是...",
+    "is_final": false,
+    "timestamp": "2025-01-28T..."
+  }
+}
+```
+
+### REST API
+
+| 端点 | 方法 | 说明 |
+|------|------|------|
+| `/api/v1/pipelines/<uuid>/ws/messages/<type>` | GET | 获取消息历史 |
+| `/api/v1/pipelines/<uuid>/ws/reset/<type>` | POST | 重置会话 |
+| `/api/v1/pipelines/<uuid>/ws/connections` | GET | 获取连接统计 |
+| `/api/v1/pipelines/<uuid>/ws/broadcast` | POST | 广播消息 |
+
+## 流式支持详解
+
+### 后端流式实现
+
+**WebSocket Adapter**
+```python
+async def reply_message_chunk(
+    self,
+    message_source: platform_events.MessageEvent,
+    bot_message,
+    message: platform_message.MessageChain,
+    quote_origin: bool = False,
+    is_final: bool = False,
+) -> dict:
+    """回复消息块 - 流式"""
+    message_data = WebSocketMessage(
+        id=-1,
+        role='assistant',
+        content=str(message),
+        message_chain=[component.__dict__ for component in message],
+        timestamp=datetime.now().isoformat(),
+        is_final=is_final and bot_message.tool_calls is None,
+    )
+
+    # 发送到队列，由WebSocket连接处理发送
+    await session.resp_queues[message_id].put(message_data)
+    return message_data.model_dump()
+
+async def is_stream_output_supported(self) -> bool:
+    """WebSocket始终支持流式输出"""
+    return True
+```
+
+### 前端流式处理
+
+**DebugDialog组件**
+```typescript
+wsClient.onMessage((message) => {
+  setMessages((prevMessages) => {
+    const existingIndex = prevMessages.findIndex(
+      (msg) => msg.role === 'assistant' && msg.content === 'Generating...'
+    );
+
+    if (existingIndex !== -1) {
+      // 更新正在生成的消息
+      const updatedMessages = [...prevMessages];
+      updatedMessages[existingIndex] = message;
+      return updatedMessages;
+    } else {
+      // 添加新消息
+      return [...prevMessages, message];
+    }
+  });
+});
+```
+
+## 兼容性说明
+
+### ⚠️ 不兼容旧版本
+
+此次迁移**完全不兼容**旧的WebChat系统：
+
+1. **API端点变更**
+   - 旧: `/api/v1/pipelines/<uuid>/chat/send`
+   - 新: `ws://.../<uuid>/ws/connect`
+
+2. **通信协议变更**
+   - 旧: HTTP + SSE (Server-Sent Events)
+   - 新: WebSocket (双向)
+
+3. **流式实现变更**
+   - 旧: `text/event-stream` 格式
+   - 新: WebSocket JSON消息
+
+### 迁移要求
+
+使用新系统需要:
+1. ✅ 前端必须支持WebSocket
+2. ✅ 后端必须运行新的WebSocket适配器
+3. ✅ 清除旧的WebChat相关配置
+
+## 优势对比
+
+| 特性 | 旧WebChat (SSE) | 新WebSocket |
+|------|----------------|-------------|
+| 双向通信 | ❌ 单向（服务器→客户端） | ✅ 双向 |
+| 主动推送 | ❌ 不支持 | ✅ 支持 |
+| 连接管理 | ❌ 无状态 | ✅ 有状态，完整生命周期 |
+| 流式输出 | ✅ 支持 | ✅ 支持（更优） |
+| 心跳机制 | ❌ 无 | ✅ 30秒心跳 |
+| 自动重连 | ❌ 无 | ✅ 最多5次 |
+| 多连接 | ⚠️ 难以管理 | ✅ 完整支持 |
+| 连接状态 | ❌ 不可见 | ✅ 实时显示 |
+| 广播功能 | ❌ 不支持 | ✅ 支持 |
+
+## 测试方式
+
+### 1. Python测试客户端
+
+```bash
+# 单连接测试
+python test_websocket_client.py <pipeline_uuid>
+
+# 指定会话类型
+python test_websocket_client.py <pipeline_uuid> --session-type group
+
+# 多连接并发测试（5个连接）
+python test_websocket_client.py <pipeline_uuid> --multi 5
+```
+
+### 2. 前端测试
+
+1. 启动LangBot服务器
+2. 访问前端界面
+3. 打开流水线调试对话框
+4. 观察连接状态指示器（左下角圆点）
+5. 发送消息测试流式响应
+
+### 3. 浏览器控制台测试
+
+```javascript
+const ws = new WebSocket('ws://localhost:8000/api/v1/pipelines/<uuid>/ws/connect?session_type=person');
+
+ws.onopen = () => {
+  console.log('已连接');
+  ws.send(JSON.stringify({
+    type: 'message',
+    message: [{type: 'Plain', text: '你好'}]
+  }));
+};
+
+ws.onmessage = (event) => {
+  console.log('收到:', JSON.parse(event.data));
+};
+```
+
+## 常见问题
+
+### Q: 为什么完全删除旧代码而不保留兼容性？
+A: 根据需求，不需要考虑任何对老版本的兼容性，彻底迁移可以避免代码冗余和维护负担。
+
+### Q: 流式输出如何工作？
+A:
+1. 后端通过`reply_message_chunk`发送消息块
+2. 消息块放入队列
+3. WebSocket连接从队列取出并发送
+4. 前端实时更新UI
+5. `is_final=true`表示最后一块
+
+### Q: 如何确保连接不断开？
+A:
+1. 客户端每30秒发送心跳（ping）
+2. 服务器响应pong
+3. 连接断开时自动重连（最多5次）
+
+### Q: 如何实现后端主动推送？
+A:
+1. 调用 `/api/v1/pipelines/<uuid>/ws/broadcast` API
+2. 消息会被推送到该流水线的所有连接
+3. 前端通过`onBroadcast`回调接收
+
+## 总结
+
+✅ **完成的工作**
+- 完全移除旧的WebChat/SSE系统
+- 实现完整的WebSocket双向通信系统
+- 支持流式输出
+- 支持多连接并发
+- 实现自动重连和心跳机制
+- 提供完整的测试工具和文档
+
+✅ **核心特性**
+- 双向实时通信
+- 流式消息支持
+- 多连接管理
+- 自动重连
+- 心跳保活
+- 连接状态可视化
+- 广播消息
+
+✅ **技术亮点**
+- 异步架构（asyncio）
+- 线程安全的连接管理
+- 独立的消息队列
+- 完整的错误处理
+- 模块化设计
+
+🎉 系统已完全迁移到WebSocket，无任何旧代码遗留！

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/SEEKDB_INTEGRATION.md

@@ -0,0 +1,259 @@
+# SeekDB Vector Database Integration
+
+This document describes how to use OceanBase SeekDB as the vector database backend for LangBot's knowledge base feature.
+
+## What is SeekDB?
+
+**OceanBase SeekDB** is an AI-native search database that unifies relational, vector, text, JSON and GIS in a single engine, enabling hybrid search and in-database AI workflows. It's developed by OceanBase and released under Apache 2.0 license.
+
+### Key Features
+
+- **Hybrid Search**: Combine vector search, full-text search and relational query in a single statement
+- **Multi-Model Support**: Support relational, vector, text, JSON and GIS in a single engine
+- **Lightweight**: Requires as little as 1 CPU core and 2 GB of memory
+- **Multiple Deployment Modes**: Supports both embedded mode and client/server mode
+- **MySQL Compatible**: Powered by OceanBase engine with full ACID compliance and MySQL compatibility
+
+## Installation
+
+SeekDB support is automatically included when you install LangBot. The required dependency `pyseekdb` is listed in `pyproject.toml`.
+
+If you need to install it manually:
+
+```bash
+pip install pyseekdb
+```
+
+## ⚠️ Platform Compatibility
+
+### Embedded Mode
+
+| Platform | Status | Notes |
+|----------|--------|-------|
+| Linux | ✅ Supported | Full embedded mode support via `pylibseekdb` |
+| macOS | ❌ Not Supported | `pylibseekdb` is Linux-only; use server mode instead |
+| Windows | ❌ Not Supported | `pylibseekdb` is Linux-only; use server mode instead |
+
+**Important**: Embedded mode requires the `pylibseekdb` library, which is only available on Linux. If you're on macOS or Windows, you must use server mode.
+
+### Server Mode (Docker)
+
+| Platform | Status | Notes |
+|----------|--------|-------|
+| Linux | ✅ Supported | Full Docker support |
+| macOS | ⚠️ Known Issue | Docker container initialization failure - [See Issue #36](https://github.com/oceanbase/seekdb/issues/36) |
+| Windows | ⚠️ Untested | Should work but not yet tested |
+
+**macOS Users**: Currently, SeekDB Docker containers have an initialization issue on macOS ([oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36)). Until this is resolved, we recommend:
+- Using ChromaDB or Qdrant as alternatives
+- Connecting to a remote SeekDB server on Linux if available
+
+### Server Mode (Remote Connection)
+
+| Platform | Status | Notes |
+|----------|--------|-------|
+| All Platforms | ✅ Supported | Connect to SeekDB running on a remote Linux server |
+
+**Recommendation for macOS/Windows users**: Deploy SeekDB on a Linux server and connect via server mode configuration.
+
+## Configuration
+
+### Embedded Mode (Recommended for Development)
+
+Embedded mode runs SeekDB directly within the LangBot process, storing data locally. This is the simplest setup and requires no external services.
+
+Edit your `config.yaml`:
+
+```yaml
+vdb:
+  use: seekdb
+  seekdb:
+    mode: embedded
+    path: './data/seekdb'  # Path to store SeekDB data
+    database: 'langbot'    # Database name
+```
+
+### Server Mode (For Production)
+
+Server mode connects to a remote SeekDB server or OceanBase server. This is recommended for production deployments.
+
+#### SeekDB Server
+
+```yaml
+vdb:
+  use: seekdb
+  seekdb:
+    mode: server
+    host: 'localhost'
+    port: 2881
+    database: 'langbot'
+    user: 'root'
+    password: ''  # Can also use SEEKDB_PASSWORD env var
+```
+
+#### OceanBase Server
+
+If you're using OceanBase with seekdb capabilities:
+
+```yaml
+vdb:
+  use: seekdb
+  seekdb:
+    mode: server
+    host: 'localhost'
+    port: 2881
+    tenant: 'sys'        # OceanBase tenant name
+    database: 'langbot'
+    user: 'root'
+    password: ''
+```
+
+## Configuration Parameters
+
+| Parameter  | Required | Default      | Description |
+|-----------|----------|--------------|-------------|
+| `mode`    | No       | `embedded`   | Deployment mode: `embedded` or `server` |
+| `path`    | No       | `./data/seekdb` | Data directory for embedded mode |
+| `database` | No      | `langbot`    | Database name |
+| `host`    | No       | `localhost`  | Server host (server mode only) |
+| `port`    | No       | `2881`       | Server port (server mode only) |
+| `user`    | No       | `root`       | Username (server mode only) |
+| `password` | No      | `''`         | Password (server mode only) |
+| `tenant`  | No       | None         | OceanBase tenant (optional, server mode only) |
+
+## Usage
+
+Once configured, SeekDB will be used automatically for all knowledge base operations in LangBot:
+
+1. **Creating Knowledge Bases**: Vectors will be stored in SeekDB collections
+2. **Adding Documents**: Document embeddings will be indexed in SeekDB
+3. **Searching**: Vector similarity search will use SeekDB's efficient indexing
+4. **Deleting**: Document removal will delete vectors from SeekDB
+
+No code changes are required - just update your configuration!
+
+## Architecture Details
+
+### Implementation
+
+The SeekDB adapter is implemented in `src/langbot/pkg/vector/vdbs/seekdb.py` and follows the same `VectorDatabase` interface as Chroma and Qdrant adapters.
+
+Key methods:
+- `add_embeddings()`: Add vectors with metadata to a collection
+- `search()`: Perform vector similarity search
+- `delete_by_file_id()`: Delete vectors by file ID metadata
+- `get_or_create_collection()`: Manage collections
+- `delete_collection()`: Remove entire collections
+
+### Vector Storage
+
+- Collections are created with HNSW (Hierarchical Navigable Small World) index
+- Default distance metric: Cosine similarity
+- Default vector dimension: 384 (adjusts automatically based on embeddings)
+- Metadata is stored alongside vectors for filtering
+
+## Advantages Over Other Vector Databases
+
+### vs. ChromaDB
+- ✅ Better MySQL compatibility
+- ✅ Hybrid search capabilities (vector + full-text + SQL)
+- ✅ Production-grade distributed mode support
+- ✅ Lightweight embedded mode
+
+### vs. Qdrant
+- ✅ SQL query support
+- ✅ MySQL ecosystem integration
+- ✅ Simpler deployment (no Docker required for embedded mode)
+- ✅ Multi-model data support (not just vectors)
+
+## Troubleshooting
+
+### Import Error
+
+If you see: `ImportError: pyseekdb is not installed`
+
+Solution:
+```bash
+pip install pyseekdb
+```
+
+### Embedded Mode Error on macOS/Windows
+
+**Error**:
+```
+RuntimeError: Embedded Client is not available because pylibseekdb is not available.
+Please install pylibseekdb (Linux only) or use RemoteServerClient (host/port) instead.
+```
+
+**Cause**: `pylibseekdb` is only available on Linux platforms.
+
+**Solution**: Use server mode instead:
+1. Deploy SeekDB on a Linux server or VM
+2. Configure LangBot to use server mode:
+```yaml
+vdb:
+  use: seekdb
+  seekdb:
+    mode: server
+    host: 'your-seekdb-server-ip'
+    port: 2881
+    database: 'langbot'
+    user: 'root'
+    password: ''
+```
+
+**Alternative**: Use ChromaDB or Qdrant, which work on all platforms:
+```yaml
+vdb:
+  use: chroma  # or qdrant
+```
+
+### Docker Container Fails on macOS
+
+**Symptoms**:
+```bash
+docker run -d -p 2881:2881 oceanbase/seekdb:latest
+# Container exits immediately with code 30
+```
+
+**Error in logs**:
+```
+[ERROR] Code: Agent.SeekDB.Not.Exists
+Message: initialize failed: init agent failed: SeekDB not exists in current directory.
+```
+
+**Cause**: This is a known issue with SeekDB Docker containers on macOS. See [oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36).
+
+**Status**: Under investigation by OceanBase team.
+
+**Workaround Options**:
+1. **Use alternatives**: ChromaDB or Qdrant work perfectly on macOS
+2. **Remote server**: Deploy SeekDB on a Linux server and connect remotely
+3. **Wait for fix**: Monitor the GitHub issue for updates
+
+### Connection Error (Server Mode)
+
+If SeekDB server is not reachable, check:
+1. Server is running: `ps aux | grep observer`
+2. Port is accessible: `nc -zv localhost 2881`
+3. Credentials are correct in config
+4. Firewall allows connections on port 2881
+
+### Performance Issues
+
+For large datasets:
+- Use server mode instead of embedded mode
+- Ensure adequate memory allocation
+- Consider using OceanBase distributed mode for very large scale
+- Adjust HNSW index parameters if needed
+
+## Resources
+
+- SeekDB GitHub: https://github.com/oceanbase/seekdb
+- pyseekdb SDK: https://github.com/oceanbase/pyseekdb
+- OceanBase Documentation: https://oceanbase.ai
+- LangBot Documentation: https://docs.langbot.app
+
+## License
+
+SeekDB is licensed under Apache License 2.0.

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.

docs/WEBSOCKET_README.md

@@ -0,0 +1,394 @@
+# LangBot WebSocket 双向通信系统
+
+## 概述
+
+这是一个内置在 LangBot 中的完整 IM (即时通讯) 系统，支持：
+
+- ✅ WebSocket 双向实时通信
+- ✅ 多个客户端并发连接
+- ✅ 前端到后端的消息发送
+- ✅ 后端到前端的主动推送
+- ✅ 流式响应支持
+- ✅ 连接管理和会话隔离
+- ✅ 心跳机制
+- ✅ 广播消息功能
+
+## 架构设计
+
+### 核心组件
+
+1. **WebSocketConnectionManager** (`websocket_manager.py`)
+   - 管理所有活跃的 WebSocket 连接
+   - 支持按流水线、会话类型查询连接
+   - 提供广播和单播功能
+   - 线程安全的并发访问控制
+
+2. **WebSocketAdapter** (`websocket_adapter.py`)
+   - 实现平台适配器接口
+   - 处理消息的接收和发送
+   - 支持流式输出
+   - 管理消息历史
+
+3. **WebSocketChatRouterGroup** (`websocket_chat.py`)
+   - WebSocket 路由控制器
+   - 处理连接建立、消息收发
+   - 实现心跳机制
+   - 提供 REST API 接口
+
+## API 接口
+
+### WebSocket 连接
+
+#### 建立连接
+
+```
+ws://localhost:8000/api/v1/pipelines/<pipeline_uuid>/ws/connect?session_type=<person|group>
+```
+
+**参数:**
+- `pipeline_uuid`: 流水线 UUID (必需)
+- `session_type`: 会话类型，可选 `person` 或 `group` (默认: `person`)
+
+**连接成功响应:**
+```json
+{
+  "type": "connected",
+  "connection_id": "550e8400-e29b-41d4-a716-446655440000",
+  "pipeline_uuid": "your-pipeline-uuid",
+  "session_type": "person",
+  "timestamp": "2025-01-28T12:00:00"
+}
+```
+
+### 消息格式
+
+#### 客户端发送消息
+
+**发送聊天消息:**
+```json
+{
+  "type": "message",
+  "message": [
+    {
+      "type": "Plain",
+      "text": "你好，这是一条测试消息"
+    }
+  ]
+}
+```
+
+**发送心跳:**
+```json
+{
+  "type": "ping"
+}
+```
+
+**主动断开连接:**
+```json
+{
+  "type": "disconnect"
+}
+```
+
+#### 服务器响应消息
+
+**聊天响应 (流式):**
+```json
+{
+  "type": "response",
+  "data": {
+    "id": 1,
+    "role": "assistant",
+    "content": "这是机器人的回复",
+    "message_chain": [...],
+    "timestamp": "2025-01-28T12:00:00",
+    "is_final": false,
+    "connection_id": "..."
+  }
+}
+```
+
+**心跳响应:**
+```json
+{
+  "type": "pong",
+  "timestamp": "2025-01-28T12:00:00"
+}
+```
+
+**广播消息:**
+```json
+{
+  "type": "broadcast",
+  "message": "这是一条广播消息",
+  "timestamp": "2025-01-28T12:00:00"
+}
+```
+
+**错误消息:**
+```json
+{
+  "type": "error",
+  "message": "错误描述"
+}
+```
+
+### REST API 接口
+
+#### 1. 获取消息历史
+
+```http
+GET /api/v1/pipelines/<pipeline_uuid>/ws/messages/<session_type>
+```
+
+**响应:**
+```json
+{
+  "code": 0,
+  "msg": "ok",
+  "data": {
+    "messages": [...]
+  }
+}
+```
+
+#### 2. 重置会话
+
+```http
+POST /api/v1/pipelines/<pipeline_uuid>/ws/reset/<session_type>
+```
+
+**响应:**
+```json
+{
+  "code": 0,
+  "msg": "ok",
+  "data": {
+    "message": "Session reset successfully"
+  }
+}
+```
+
+#### 3. 获取连接统计
+
+```http
+GET /api/v1/pipelines/<pipeline_uuid>/ws/connections
+```
+
+**响应:**
+```json
+{
+  "code": 0,
+  "msg": "ok",
+  "data": {
+    "stats": {
+      "total_connections": 5,
+      "pipelines": 2,
+      "connections_by_pipeline": {
+        "pipeline-1": 3,
+        "pipeline-2": 2
+      },
+      "connections_by_session_type": {
+        "person": 4,
+        "group": 1
+      }
+    },
+    "connections": [
+      {
+        "connection_id": "...",
+        "session_type": "person",
+        "created_at": "2025-01-28T12:00:00",
+        "last_active": "2025-01-28T12:05:00",
+        "is_active": true
+      }
+    ]
+  }
+}
+```
+
+#### 4. 广播消息 (后端主动推送)
+
+```http
+POST /api/v1/pipelines/<pipeline_uuid>/ws/broadcast
+Content-Type: application/json
+
+{
+  "message": "这是一条广播消息"
+}
+```
+
+**响应:**
+```json
+{
+  "code": 0,
+  "msg": "ok",
+  "data": {
+    "message": "Broadcast sent successfully"
+  }
+}
+```
+
+## 使用示例
+
+### Python 客户端示例
+
+使用提供的测试客户端：
+
+```bash
+# 安装依赖
+pip install websockets
+
+# 单个连接测试
+python test_websocket_client.py <pipeline_uuid>
+
+# 指定会话类型
+python test_websocket_client.py <pipeline_uuid> --session-type group
+
+# 多连接并发测试
+python test_websocket_client.py <pipeline_uuid> --multi 5
+```
+
+### JavaScript 客户端示例
+
+```javascript
+// 建立 WebSocket 连接
+const ws = new WebSocket('ws://localhost:8000/api/v1/pipelines/your-pipeline-uuid/ws/connect?session_type=person');
+
+// 连接建立
+ws.onopen = () => {
+  console.log('WebSocket 连接已建立');
+
+  // 发送消息
+  ws.send(JSON.stringify({
+    type: 'message',
+    message: [
+      {
+        type: 'Plain',
+        text: '你好'
+      }
+    ]
+  }));
+};
+
+// 接收消息
+ws.onmessage = (event) => {
+  const data = JSON.parse(event.data);
+
+  if (data.type === 'connected') {
+    console.log('连接成功:', data.connection_id);
+  } else if (data.type === 'response') {
+    console.log('机器人回复:', data.data.content);
+    if (data.data.is_final) {
+      console.log('响应完成');
+    }
+  } else if (data.type === 'broadcast') {
+    console.log('收到广播:', data.message);
+  }
+};
+
+// 连接关闭
+ws.onclose = () => {
+  console.log('WebSocket 连接已关闭');
+};
+
+// 错误处理
+ws.onerror = (error) => {
+  console.error('WebSocket 错误:', error);
+};
+
+// 发送心跳
+setInterval(() => {
+  if (ws.readyState === WebSocket.OPEN) {
+    ws.send(JSON.stringify({ type: 'ping' }));
+  }
+}, 30000); // 每 30 秒发送一次心跳
+```
+
+## 特性说明
+
+### 1. 多连接支持
+
+系统支持同时建立多个 WebSocket 连接，每个连接都有唯一的 `connection_id`。连接按照流水线和会话类型进行分组管理。
+
+### 2. 双向通信
+
+- **前端 → 后端**: 客户端可以主动发送消息给服务器
+- **后端 → 前端**: 服务器可以通过广播 API 主动推送消息给客户端
+
+### 3. 流式响应
+
+支持流式输出，机器人的响应会分块发送，客户端可以实时显示部分响应内容。
+
+### 4. 会话隔离
+
+支持 `person` 和 `group` 两种会话类型，不同类型的会话消息历史互不影响。
+
+### 5. 连接管理
+
+- 自动追踪连接状态
+- 记录最后活跃时间
+- 支持连接统计查询
+- 连接断开时自动清理资源
+
+### 6. 心跳机制
+
+客户端可以定期发送 `ping` 消息，服务器会响应 `pong`，用于保持连接活跃和检测连接状态。
+
+## 架构优势
+
+1. **高并发**: 使用 asyncio 异步架构，支持大量并发连接
+2. **可扩展**: 模块化设计，易于扩展新功能
+3. **线程安全**: 连接管理器使用锁机制保证并发安全
+4. **消息队列**: 每个连接独立的发送队列，避免消息混乱
+5. **灵活路由**: 支持按流水线、会话类型灵活路由消息
+
+## 注意事项
+
+1. **认证**: 当前 WebSocket 连接不需要认证，生产环境建议添加认证机制
+2. **心跳**: 建议客户端实现心跳机制，避免连接超时
+3. **重连**: 客户端应实现断线重连逻辑
+4. **消息大小**: 注意控制单条消息大小，避免内存溢出
+5. **连接数限制**: 生产环境建议设置最大连接数限制
+
+## 故障排查
+
+### 连接失败
+
+1. 检查流水线 UUID 是否正确
+2. 检查服务器是否正常运行
+3. 检查防火墙设置
+
+### 消息发送失败
+
+1. 检查消息格式是否正确
+2. 检查连接是否仍然活跃
+3. 查看服务器日志获取详细错误信息
+
+### 性能问题
+
+1. 检查并发连接数是否过多
+2. 检查消息处理速度
+3. 考虑使用连接池或负载均衡
+
+## 开发调试
+
+启用详细日志：
+
+```python
+import logging
+logging.getLogger('langbot.pkg.platform.sources.websocket_adapter').setLevel(logging.DEBUG)
+logging.getLogger('langbot.pkg.platform.sources.websocket_manager').setLevel(logging.DEBUG)
+logging.getLogger('langbot.pkg.api.http.controller.groups.pipelines.websocket_chat').setLevel(logging.DEBUG)
+```
+
+## 后续改进建议
+
+1. 添加用户认证和授权机制
+2. 实现消息持久化
+3. 添加消息加密
+4. 实现更丰富的消息类型 (图片、文件等)
+5. 添加消息已读/未读状态
+6. 实现群组聊天功能
+7. 添加在线状态显示
+8. 实现消息撤回功能

main.py

@@ -1,370 +1,3 @@
-import importlib
-import os
-import shutil
-import threading
-import time
+import langbot.__main__
 
-import logging
-import sys
-
-try:
-    import colorlog
-except ImportError:
-    # 尝试安装
-    import pkg.utils.pkgmgr as pkgmgr
-    pkgmgr.install_requirements("requirements.txt")
-    try:
-        import colorlog
-    except ImportError:
-        print("依赖不满足,请查看 https://github.com/RockChinQ/qcg-installer/issues/15")
-        sys.exit(1)
-import colorlog
-
-import requests
-import websockets.exceptions
-from urllib3.exceptions import InsecureRequestWarning
-
-
-sys.path.append(".")
-
-log_colors_config = {
-    'DEBUG': 'green',  # cyan white
-    'INFO': 'white',
-    'WARNING': 'yellow',
-    'ERROR': 'red',
-    'CRITICAL': 'bold_red',
-}
-
-
-def init_db():
-    import pkg.database.manager
-    database = pkg.database.manager.DatabaseManager()
-
-    database.initialize_database()
-
-
-def ensure_dependencies():
-    import pkg.utils.pkgmgr as pkgmgr
-    pkgmgr.run_pip(["install", "openai", "Pillow", "--upgrade",
-                    "-i", "https://pypi.douban.com/simple/",
-                    "--trusted-host", "pypi.douban.com"])
-
-
-known_exception_caught = False
-
-log_file_name = "qchatgpt.log"
-
-
-def init_runtime_log_file():
-    """为此次运行生成日志文件
-    格式: qchatgpt-yyyy-MM-dd-HH-mm-ss.log
-    """
-    global log_file_name
-
-    # 检查logs目录是否存在
-    if not os.path.exists("logs"):
-        os.mkdir("logs")
-
-    # 检查本目录是否有qchatgpt.log，若有，移动到logs目录
-    if os.path.exists("qchatgpt.log"):
-        shutil.move("qchatgpt.log", "logs/qchatgpt.legacy.log")
-
-    log_file_name = "logs/qchatgpt-%s.log" % time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
-    
-
-def reset_logging():
-    global log_file_name
-    assert os.path.exists('config.py')
-
-    config = importlib.import_module('config')
-
-    import pkg.utils.context
-
-    if pkg.utils.context.context['logger_handler'] is not None:
-        logging.getLogger().removeHandler(pkg.utils.context.context['logger_handler'])
-
-    for handler in logging.getLogger().handlers:
-        logging.getLogger().removeHandler(handler)
-
-    logging.basicConfig(level=config.logging_level,  # 设置日志输出格式
-                        filename=log_file_name,  # log日志输出的文件位置和文件名
-                        format="[%(asctime)s.%(msecs)03d] %(filename)s (%(lineno)d) - [%(levelname)s] : %(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
-                        )
-    sh = logging.StreamHandler()
-    sh.setLevel(config.logging_level)
-    sh.setFormatter(colorlog.ColoredFormatter(
-        fmt="%(log_color)s[%(asctime)s.%(msecs)03d] %(filename)s (%(lineno)d) - [%(levelname)s] : "
-            "%(message)s",
-        datefmt="%Y-%m-%d %H:%M:%S",
-        log_colors=log_colors_config
-    ))
-    logging.getLogger().addHandler(sh)
-    pkg.utils.context.context['logger_handler'] = sh
-    return sh
-
-
-def main(first_time_init=False):
-    """启动流程，reload之后会被执行"""
-
-    global known_exception_caught
-
-    import config
-    # 更新openai库到最新版本
-    if not hasattr(config, 'upgrade_dependencies') or config.upgrade_dependencies:
-        print("正在更新依赖库，请等待...")
-        if not hasattr(config, 'upgrade_dependencies'):
-            print("这个操作不是必须的,如果不想更新,请在config.py中添加upgrade_dependencies=False")
-        else:
-            print("这个操作不是必须的,如果不想更新,请在config.py中将upgrade_dependencies设置为False")
-        try:
-            ensure_dependencies()
-        except Exception as e:
-            print("更新openai库失败:{}, 请忽略或自行更新".format(e))
-
-    known_exception_caught = False
-    try:
-        # 导入config.py
-        assert os.path.exists('config.py')
-
-        config = importlib.import_module('config')
-
-        init_runtime_log_file()
-
-        sh = reset_logging()
-
-        # 配置完整性校验
-        is_integrity = True
-        config_template = importlib.import_module('config-template')
-        for key in dir(config_template):
-            if not key.startswith("__") and not hasattr(config, key):
-                setattr(config, key, getattr(config_template, key))
-                logging.warning("[{}]不存在".format(key))
-                is_integrity = False
-        if not is_integrity:
-            logging.warning("配置文件不完整，请依据config-template.py检查config.py")
-            logging.warning("以上配置已被设为默认值，将在5秒后继续启动... ")
-            time.sleep(5)
-
-        import pkg.utils.context
-        pkg.utils.context.set_config(config)
-
-        # 检查是否设置了管理员
-        if not (hasattr(config, 'admin_qq') and config.admin_qq != 0):
-            # logging.warning("未设置管理员QQ,管理员权限指令及运行告警将无法使用,如需设置请修改config.py中的admin_qq字段")
-            while True:
-                try:
-                    config.admin_qq = int(input("未设置管理员QQ,管理员权限指令及运行告警将无法使用,请输入管理员QQ号: "))
-                    # 写入到文件
-
-                    # 读取文件
-                    config_file_str = ""
-                    with open("config.py", "r", encoding="utf-8") as f:
-                        config_file_str = f.read()
-                    # 替换
-                    config_file_str = config_file_str.replace("admin_qq = 0", "admin_qq = " + str(config.admin_qq))
-                    # 写入
-                    with open("config.py", "w", encoding="utf-8") as f:
-                        f.write(config_file_str)
-
-                    print("管理员QQ已设置，如需修改请修改config.py中的admin_qq字段")
-                    time.sleep(4)
-                    break
-                except ValueError:
-                    print("请输入数字")
-
-        import pkg.openai.manager
-        import pkg.database.manager
-        import pkg.openai.session
-        import pkg.qqbot.manager
-        import pkg.openai.dprompt
-
-        pkg.openai.dprompt.read_prompt_from_file()
-
-        pkg.utils.context.context['logger_handler'] = sh
-        # 主启动流程
-        database = pkg.database.manager.DatabaseManager()
-
-        database.initialize_database()
-
-        openai_interact = pkg.openai.manager.OpenAIInteract(config.openai_config['api_key'])
-
-        # 加载所有未超时的session
-        pkg.openai.session.load_sessions()
-
-        # 初始化qq机器人
-        qqbot = pkg.qqbot.manager.QQBotManager(mirai_http_api_config=config.mirai_http_api_config,
-                                               timeout=config.process_message_timeout, retry=config.retry_times,
-                                               first_time_init=first_time_init, pool_num=config.pool_num)
-
-        # 加载插件
-        import pkg.plugin.host
-        pkg.plugin.host.load_plugins()
-
-        pkg.plugin.host.initialize_plugins()
-
-        if first_time_init:  # 不是热重载之后的启动,则启动新的bot线程
-
-            import mirai.exceptions
-
-            def run_bot_wrapper():
-                global known_exception_caught
-                try:
-                    qqbot.bot.run()
-                except TypeError as e:
-                    if str(e).__contains__("argument 'debug'"):
-                        logging.error(
-                            "连接bot失败:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/82".format(e))
-                        known_exception_caught = True
-                    elif str(e).__contains__("As of 3.10, the *loop*"):
-                        logging.error(
-                            "Websockets版本过低:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/5".format(e))
-                        known_exception_caught = True
-
-                except websockets.exceptions.InvalidStatus as e:
-                    logging.error(
-                        "mirai-api-http端口无法使用:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/22".format(
-                            e))
-                    known_exception_caught = True
-                except mirai.exceptions.NetworkError as e:
-                    logging.error("连接mirai-api-http失败:{}, 请检查是否已按照文档启动mirai".format(e))
-                    known_exception_caught = True
-                except Exception as e:
-                    if str(e).__contains__("404"):
-                        logging.error(
-                            "mirai-api-http端口无法使用:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/22".format(
-                                e))
-                        known_exception_caught = True
-                    elif str(e).__contains__("signal only works in main thread"):
-                        logging.error(
-                            "hypercorn异常:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/86".format(
-                                e))
-                        known_exception_caught = True
-                    elif str(e).__contains__("did not receive a valid HTTP"):
-                        logging.error(
-                            "mirai-api-http端口无法使用:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/22".format(
-                                e))
-                    else:
-                        logging.error(
-                            "捕捉到未知异常:{}, 请前往 https://github.com/RockChinQ/QChatGPT/issues 查找或提issue".format(e))
-                        known_exception_caught = True
-                        raise e
-
-            qq_bot_thread = threading.Thread(target=run_bot_wrapper, args=(), daemon=True)
-            qq_bot_thread.start()
-    finally:
-        time.sleep(12)
-        if first_time_init:
-            if not known_exception_caught:
-                logging.info('程序启动完成,如长时间未显示 ”成功登录到账号xxxxx“ ,并且不回复消息,请查看 '
-                             'https://github.com/RockChinQ/QChatGPT/issues/37')
-            else:
-                sys.exit(1)
-        else:
-            logging.info('热重载完成')
-
-    # 发送赞赏码
-    if hasattr(config, 'encourage_sponsor_at_start') \
-        and config.encourage_sponsor_at_start \
-        and pkg.utils.context.get_openai_manager().audit_mgr.get_total_text_length() >= 2048:
-
-        logging.info("发送赞赏码")
-        from mirai import MessageChain, Plain, Image
-        import pkg.utils.constants
-        message_chain = MessageChain([
-            Plain("自2022年12月初以来，开发者已经花费了大量时间和精力来维护本项目，如果您觉得本项目对您有帮助，欢迎赞赏开发者，"
-                  "以支持项目稳定运行😘"),
-            Image(base64=pkg.utils.constants.alipay_qr_b64),
-            Image(base64=pkg.utils.constants.wechat_qr_b64),
-            Plain("BTC: 3N4Azee63vbBB9boGv9Rjf4N5SocMe5eCq\nXMR: 89LS21EKQuDGkyQoe2nDupiuWXk4TVD6FALvSKv5owfmeJEPFpHeMsZLYtLiJ6GxLrhsRe5gMs6MyMSDn4GNQAse2Mae4KE\n\n"),
-            Plain("(本消息仅在启动时发送至管理员，如果您不想再看到此消息，请在config.py中将encourage_sponsor_at_start设置为False)")
-        ])
-        pkg.utils.context.get_qqbot_manager().notify_admin_message_chain(message_chain)
-
-    time.sleep(5)
-    import pkg.utils.updater
-    try:
-        if pkg.utils.updater.is_new_version_available():
-            pkg.utils.context.get_qqbot_manager().notify_admin("新版本可用，请发送 !update 进行自动更新\n更新日志:\n{}".format("\n".join(pkg.utils.updater.get_rls_notes())))
-        else:
-            logging.info("当前已是最新版本")
-
-    except Exception as e:
-        logging.warning("检查更新失败:{}".format(e))
-
-    return qqbot
-
-
-def stop():
-    import pkg.utils.context
-    import pkg.qqbot.manager
-    import pkg.openai.session
-    try:
-        import pkg.plugin.host
-        pkg.plugin.host.unload_plugins()
-
-        qqbot_inst = pkg.utils.context.get_qqbot_manager()
-        assert isinstance(qqbot_inst, pkg.qqbot.manager.QQBotManager)
-
-        for session in pkg.openai.session.sessions:
-            logging.info('持久化session: %s', session)
-            pkg.openai.session.sessions[session].persistence()
-        pkg.utils.context.get_database_manager().close()
-    except Exception as e:
-        if not isinstance(e, KeyboardInterrupt):
-            raise e
-
-
-if __name__ == '__main__':
-    # 检查是否有config.py,如果没有就把config-template.py复制一份,并退出程序
-    if not os.path.exists('config.py'):
-        shutil.copy('config-template.py', 'config.py')
-        print('请先在config.py中填写配置')
-        sys.exit(0)
-
-    # 检查是否有banlist.py,如果没有就把banlist-template.py复制一份
-    if not os.path.exists('banlist.py'):
-        shutil.copy('banlist-template.py', 'banlist.py')
-
-    # 检查是否有sensitive.json
-    if not os.path.exists("sensitive.json"):
-        shutil.copy("sensitive-template.json", "sensitive.json")
-
-    # 检查temp目录
-    if not os.path.exists("temp/"):
-        os.mkdir("temp/")
-
-    # 检查并创建plugins、prompts目录
-    check_path = ["plugins", "prompts"]
-    for path in check_path:
-        if not os.path.exists(path):
-            os.mkdir(path)
-
-    if len(sys.argv) > 1 and sys.argv[1] == 'init_db':
-        init_db()
-        sys.exit(0)
-
-    elif len(sys.argv) > 1 and sys.argv[1] == 'update':
-        print("正在进行程序更新...")
-        import pkg.utils.updater as updater
-        updater.update_all(cli=True)
-        sys.exit(0)
-
-    # import pkg.utils.configmgr
-    #
-    # pkg.utils.configmgr.set_config_and_reload("quote_origin", False)
-    requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
-
-    qqbot = main(True)
-
-    import pkg.utils.context
-    while True:
-        try:
-            time.sleep(10)
-        except KeyboardInterrupt:
-            stop()
-
-            print("程序退出")
-            sys.exit(0)
+langbot.__main__.main()

pkg/audit/__init__.py

@@ -1,3 +0,0 @@
-"""
-审计相关操作
-"""

pkg/audit/gatherer.py

@@ -1,133 +0,0 @@
-"""
-使用量统计以及数据上报功能实现
-"""
-
-import hashlib
-import json
-import logging
-
-import requests
-
-import pkg.utils.context
-import pkg.utils.updater
-
-
-class DataGatherer:
-    """数据收集器"""
-
-    usage = {}
-    """各api-key的使用量
-    
-    以key值md5为key,{
-        "text": {
-            "text-davinci-003": 文字量:int,
-        },
-        "image": {
-            "256x256": 图片数量:int,
-        }
-    }为值的字典"""
-
-    version_str = "undetermined"
-
-    def __init__(self):
-        self.load_from_db()
-        try:
-            self.version_str = pkg.utils.updater.get_current_tag()  # 从updater模块获取版本号
-        except:
-            pass
-
-    def report_to_server(self, subservice_name: str, count: int):
-        """向中央服务器报告使用量
-
-        只会报告此次请求的使用量，不会报告总量。
-        不包含除版本号、使用类型、使用量以外的任何信息，仅供开发者分析使用情况。
-        """
-        try:
-            config = pkg.utils.context.get_config()
-            if hasattr(config, "report_usage") and not config.report_usage:
-                return
-            res = requests.get("http://rockchin.top:18989/usage?service_name=qchatgpt.{}&version={}&count={}".format(subservice_name, self.version_str, count))
-            if res.status_code != 200 or res.text != "ok":
-                logging.warning("report to server failed, status_code: {}, text: {}".format(res.status_code, res.text))
-        except:
-            return
-
-    def get_usage(self, key_md5):
-        return self.usage[key_md5] if key_md5 in self.usage else {}
-
-    def report_text_model_usage(self, model, total_tokens):
-        """调用方报告文字模型请求文字使用量"""
-
-        key_md5 = pkg.utils.context.get_openai_manager().key_mgr.get_using_key_md5()  # 以key的md5进行储存
-
-        if key_md5 not in self.usage:
-            self.usage[key_md5] = {}
-
-        if "text" not in self.usage[key_md5]:
-            self.usage[key_md5]["text"] = {}
-
-        if model not in self.usage[key_md5]["text"]:
-            self.usage[key_md5]["text"][model] = 0
-
-        length = total_tokens
-        self.usage[key_md5]["text"][model] += length
-        self.dump_to_db()
-
-        self.report_to_server("text", length)
-
-    def report_image_model_usage(self, size):
-        """调用方报告图片模型请求图片使用量"""
-
-        key_md5 = pkg.utils.context.get_openai_manager().key_mgr.get_using_key_md5()
-
-        if key_md5 not in self.usage:
-            self.usage[key_md5] = {}
-
-        if "image" not in self.usage[key_md5]:
-            self.usage[key_md5]["image"] = {}
-
-        if size not in self.usage[key_md5]["image"]:
-            self.usage[key_md5]["image"][size] = 0
-
-        self.usage[key_md5]["image"][size] += 1
-        self.dump_to_db()
-
-        self.report_to_server("image", 1)
-
-    def get_text_length_of_key(self, key):
-        """获取指定api-key (明文) 的文字总使用量(本地记录)"""
-        key_md5 = hashlib.md5(key.encode('utf-8')).hexdigest()
-        if key_md5 not in self.usage:
-            return 0
-        if "text" not in self.usage[key_md5]:
-            return 0
-        # 遍历其中所有模型，求和
-        return sum(self.usage[key_md5]["text"].values())
-
-    def get_image_count_of_key(self, key):
-        """获取指定api-key (明文) 的图片总使用量(本地记录)"""
-
-        key_md5 = hashlib.md5(key.encode('utf-8')).hexdigest()
-        if key_md5 not in self.usage:
-            return 0
-        if "image" not in self.usage[key_md5]:
-            return 0
-        # 遍历其中所有模型，求和
-        return sum(self.usage[key_md5]["image"].values())
-
-    def get_total_text_length(self):
-        """获取所有api-key的文字总使用量(本地记录)"""
-        total = 0
-        for key in self.usage:
-            if "text" not in self.usage[key]:
-                continue
-            total += sum(self.usage[key]["text"].values())
-        return total
-
-    def dump_to_db(self):
-        pkg.utils.context.get_database_manager().dump_usage_json(self.usage)
-
-    def load_from_db(self):
-        json_str = pkg.utils.context.get_database_manager().load_usage_json()
-        if json_str is not None:
-            self.usage = json.loads(json_str)

pkg/database/__init__.py

@@ -1,3 +0,0 @@
-"""
-数据库操作封装
-"""

pkg/database/manager.py

@@ -1,308 +0,0 @@
-"""
-数据库管理模块
-"""
-import hashlib
-import json
-import logging
-import time
-from sqlite3 import Cursor
-
-import sqlite3
-
-import pkg.utils.context
-
-
-class DatabaseManager:
-    """封装数据库底层操作，并提供方法给上层使用"""
-
-    conn = None
-    cursor = None
-
-    def __init__(self):
-
-        self.reconnect()
-
-        pkg.utils.context.set_database_manager(self)
-
-    # 连接到数据库文件
-    def reconnect(self):
-        """连接到数据库"""
-        self.conn = sqlite3.connect('database.db', check_same_thread=False)
-        self.cursor = self.conn.cursor()
-
-    def close(self):
-        self.conn.close()
-
-    def __execute__(self, *args, **kwargs) -> Cursor:
-        # logging.debug('SQL: {}'.format(sql))
-        c = self.cursor.execute(*args, **kwargs)
-        self.conn.commit()
-        return c
-
-    # 初始化数据库的函数
-    def initialize_database(self):
-        """创建数据表"""
-
-        self.__execute__("""
-        create table if not exists `sessions` (
-            `id` INTEGER PRIMARY KEY AUTOINCREMENT,
-            `name` varchar(255) not null,
-            `type` varchar(255) not null,
-            `number` bigint not null,
-            `create_timestamp` bigint not null,
-            `last_interact_timestamp` bigint not null,
-            `status` varchar(255) not null default 'on_going',
-            `prompt` text not null
-        )
-        """)
-
-        self.__execute__("""
-        create table if not exists `account_fee`(
-            `id` INTEGER PRIMARY KEY AUTOINCREMENT,
-            `key_md5` varchar(255) not null,
-            `timestamp` bigint not null,
-            `fee` DECIMAL(12,6) not null
-        )
-        """)
-
-        self.__execute__("""
-        create table if not exists `account_usage`(
-            `id` INTEGER PRIMARY KEY AUTOINCREMENT,
-            `json` text not null
-        )
-        """)
-        print('Database initialized.')
-
-    # session持久化
-    def persistence_session(self, subject_type: str, subject_number: int, create_timestamp: int,
-                            last_interact_timestamp: int, prompt: str):
-        """持久化指定session"""
-
-        # 检查是否已经有了此name和create_timestamp的session
-        # 如果有，就更新prompt和last_interact_timestamp
-        # 如果没有，就插入一条新的记录
-        self.__execute__("""
-        select count(*) from `sessions` where `type` = '{}' and `number` = {} and `create_timestamp` = {}
-        """.format(subject_type, subject_number, create_timestamp))
-        count = self.cursor.fetchone()[0]
-        if count == 0:
-
-            sql = """
-            insert into `sessions` (`name`, `type`, `number`, `create_timestamp`, `last_interact_timestamp`, `prompt`) 
-            values (?, ?, ?, ?, ?, ?)
-            """
-
-            self.__execute__(sql,
-                             ("{}_{}".format(subject_type, subject_number), subject_type, subject_number, create_timestamp,
-                          last_interact_timestamp, prompt))
-        else:
-            sql = """
-            update `sessions` set `last_interact_timestamp` = ?, `prompt` = ? 
-            where `type` = ? and `number` = ? and `create_timestamp` = ?
-            """
-
-            self.__execute__(sql, (last_interact_timestamp, prompt, subject_type,
-                                   subject_number, create_timestamp))
-
-    # 显式关闭一个session
-    def explicit_close_session(self, session_name: str, create_timestamp: int):
-        self.__execute__("""
-        update `sessions` set `status` = 'explicitly_closed' where `name` = '{}' and `create_timestamp` = {}
-        """.format(session_name, create_timestamp))
-
-    def set_session_ongoing(self, session_name: str, create_timestamp: int):
-        self.__execute__("""
-        update `sessions` set `status` = 'on_going' where `name` = '{}' and `create_timestamp` = {}
-        """.format(session_name, create_timestamp))
-
-    # 设置session为过期
-    def set_session_expired(self, session_name: str, create_timestamp: int):
-        self.__execute__("""
-        update `sessions` set `status` = 'expired' where `name` = '{}' and `create_timestamp` = {}
-        """.format(session_name, create_timestamp))
-
-    # 从数据库加载还没过期的session数据
-    def load_valid_sessions(self) -> dict:
-        # 从数据库中加载所有还没过期的session
-        config = pkg.utils.context.get_config()
-        self.__execute__("""
-        select `name`, `type`, `number`, `create_timestamp`, `last_interact_timestamp`, `prompt`, `status`
-        from `sessions` where `last_interact_timestamp` > {}
-        """.format(int(time.time()) - config.session_expire_time))
-        results = self.cursor.fetchall()
-        sessions = {}
-        for result in results:
-            session_name = result[0]
-            subject_type = result[1]
-            subject_number = result[2]
-            create_timestamp = result[3]
-            last_interact_timestamp = result[4]
-            prompt = result[5]
-            status = result[6]
-
-            # 当且仅当最后一个该对象的会话是on_going状态时，才会被加载
-            if status == 'on_going':
-                sessions[session_name] = {
-                    'subject_type': subject_type,
-                    'subject_number': subject_number,
-                    'create_timestamp': create_timestamp,
-                    'last_interact_timestamp': last_interact_timestamp,
-                    'prompt': prompt
-                }
-            else:
-                if session_name in sessions:
-                    del sessions[session_name]
-
-        return sessions
-
-    # 获取此session_name前一个session的数据
-    def last_session(self, session_name: str, cursor_timestamp: int):
-
-        self.__execute__("""
-        select `name`, `type`, `number`, `create_timestamp`, `last_interact_timestamp`, `prompt`, `status`
-        from `sessions` where `name` = '{}' and `last_interact_timestamp` < {} order by `last_interact_timestamp` desc
-        limit 1
-        """.format(session_name, cursor_timestamp))
-        results = self.cursor.fetchall()
-        if len(results) == 0:
-            return None
-        result = results[0]
-
-        session_name = result[0]
-        subject_type = result[1]
-        subject_number = result[2]
-        create_timestamp = result[3]
-        last_interact_timestamp = result[4]
-        prompt = result[5]
-        status = result[6]
-
-        return {
-            'subject_type': subject_type,
-            'subject_number': subject_number,
-            'create_timestamp': create_timestamp,
-            'last_interact_timestamp': last_interact_timestamp,
-            'prompt': prompt
-        }
-
-    # 获取此session_name后一个session的数据
-    def next_session(self, session_name: str, cursor_timestamp: int):
-
-        self.__execute__("""
-            select `name`, `type`, `number`, `create_timestamp`, `last_interact_timestamp`, `prompt`, `status`
-            from `sessions` where `name` = '{}' and `last_interact_timestamp` > {} order by `last_interact_timestamp` asc
-            limit 1
-            """.format(session_name, cursor_timestamp))
-        results = self.cursor.fetchall()
-        if len(results) == 0:
-            return None
-        result = results[0]
-
-        session_name = result[0]
-        subject_type = result[1]
-        subject_number = result[2]
-        create_timestamp = result[3]
-        last_interact_timestamp = result[4]
-        prompt = result[5]
-        status = result[6]
-
-        return {
-            'subject_type': subject_type,
-            'subject_number': subject_number,
-            'create_timestamp': create_timestamp,
-            'last_interact_timestamp': last_interact_timestamp,
-            'prompt': prompt
-        }
-
-    # 列出与某个对象的所有对话session
-    def list_history(self, session_name: str, capacity: int, page: int):
-        self.__execute__("""
-        select `name`, `type`, `number`, `create_timestamp`, `last_interact_timestamp`, `prompt`, `status`
-        from `sessions` where `name` = '{}' order by `last_interact_timestamp` desc limit {} offset {}
-        """.format(session_name, capacity, capacity * page))
-        results = self.cursor.fetchall()
-        sessions = []
-        for result in results:
-            session_name = result[0]
-            subject_type = result[1]
-            subject_number = result[2]
-            create_timestamp = result[3]
-            last_interact_timestamp = result[4]
-            prompt = result[5]
-            status = result[6]
-
-            sessions.append({
-                'subject_type': subject_type,
-                'subject_number': subject_number,
-                'create_timestamp': create_timestamp,
-                'last_interact_timestamp': last_interact_timestamp,
-                'prompt': prompt
-            })
-
-        return sessions
-
-    # 将apikey的使用量存进数据库
-    def dump_api_key_usage(self, api_keys: dict, usage: dict):
-        logging.debug('dumping api key usage...')
-        logging.debug(api_keys)
-        logging.debug(usage)
-        for api_key in api_keys:
-            # 计算key的md5值
-            key_md5 = hashlib.md5(api_keys[api_key].encode('utf-8')).hexdigest()
-            # 获取使用量
-            usage_count = 0
-            if key_md5 in usage:
-                usage_count = usage[key_md5]
-            # 将使用量存进数据库
-            # 先检查是否已存在
-            self.__execute__("""
-            select count(*) from `api_key_usage` where `key_md5` = '{}'""".format(key_md5))
-            result = self.cursor.fetchone()
-            if result[0] == 0:
-                # 不存在则插入
-                self.__execute__("""
-                insert into `api_key_usage` (`key_md5`, `usage`,`timestamp`) values ('{}', {}, {})
-                """.format(key_md5, usage_count, int(time.time())))
-            else:
-                # 存在则更新，timestamp设置为当前
-                self.__execute__("""
-                update `api_key_usage` set `usage` = {}, `timestamp` = {} where `key_md5` = '{}'
-                """.format(usage_count, int(time.time()), key_md5))
-
-    def load_api_key_usage(self):
-        self.__execute__("""
-        select `key_md5`, `usage` from `api_key_usage`
-        """)
-        results = self.cursor.fetchall()
-        usage = {}
-        for result in results:
-            key_md5 = result[0]
-            usage_count = result[1]
-            usage[key_md5] = usage_count
-        return usage
-
-    def dump_usage_json(self, usage: dict):
-
-        json_str = json.dumps(usage)
-        self.__execute__("""
-        select count(*) from `account_usage`""")
-        result = self.cursor.fetchone()
-        if result[0] == 0:
-            # 不存在则插入
-            self.__execute__("""
-            insert into `account_usage` (`json`) values ('{}')
-            """.format(json_str))
-        else:
-            # 存在则更新
-            self.__execute__("""
-            update `account_usage` set `json` = '{}' where `id` = 1
-            """.format(json_str))
-
-    def load_usage_json(self):
-        self.__execute__("""
-        select `json` from `account_usage` order by id desc limit 1
-        """)
-        result = self.cursor.fetchone()
-        if result is None:
-            return None
-        else:
-            return result[0]

pkg/openai/__init__.py

@@ -1,2 +0,0 @@
-"""OpenAI 接口处理及会话管理相关
-"""

pkg/openai/dprompt.py

@@ -1,79 +0,0 @@
-# 多情景预设值管理
-
-__current__ = "default"
-"""当前默认使用的情景预设的名称
-
-由管理员使用`!default <名称>`指令切换
-"""
-
-__prompts_from_files__ = {}
-"""从文件中读取的情景预设值"""
-
-
-def read_prompt_from_file() -> str:
-    """从文件读取预设值"""
-    # 读取prompts/目录下的所有文件，以文件名为键，文件内容为值
-    # 保存在__prompts_from_files__中
-    global __prompts_from_files__
-    import os
-
-    __prompts_from_files__ = {}
-    for file in os.listdir("prompts"):
-        with open(os.path.join("prompts", file), encoding="utf-8") as f:
-            __prompts_from_files__[file] = f.read()
-
-
-def get_prompt_dict() -> dict:
-    """获取预设值字典"""
-    import config
-    default_prompt = config.default_prompt
-    if type(default_prompt) == str:
-        default_prompt = {"default": default_prompt}
-    elif type(default_prompt) == dict:
-        pass
-    else:
-        raise TypeError("default_prompt must be str or dict")
-
-    # 将文件中的预设值合并到default_prompt中
-    for key in __prompts_from_files__:
-        default_prompt[key] = __prompts_from_files__[key]
-
-    return default_prompt
-
-
-def set_current(name):
-    global __current__
-    for key in get_prompt_dict():
-        if key.lower().startswith(name.lower()):
-            __current__ = key
-            return
-    raise KeyError("未找到情景预设: " + name)
-
-
-def get_current():
-    global __current__
-    return __current__
-
-
-def set_to_default():
-    global __current__
-    default_dict = get_prompt_dict()
-
-    if "default" in default_dict:
-        __current__ = "default"
-    else:
-        __current__ = list(default_dict.keys())[0]
-
-
-def get_prompt(name: str = None) -> str:
-    """获取预设值"""
-    if name is None:
-        name = get_current()
-
-    default_dict = get_prompt_dict()
-
-    for key in default_dict:
-        if key.lower().startswith(name.lower()):
-            return default_dict[key]
-
-    raise KeyError("未找到情景预设: " + name)

pkg/openai/keymgr.py

@@ -1,91 +0,0 @@
-# 此模块提供了维护api-key的各种功能
-import hashlib
-import logging
-
-import pkg.plugin.host as plugin_host
-import pkg.plugin.models as plugin_models
-
-
-class KeysManager:
-    api_key = {}
-    """所有api-key"""
-
-    using_key = ""
-    """当前使用的api-key
-    """
-
-    alerted = []
-    """已提示过超额的key
-    
-    记录在此以避免重复提示
-    """
-
-    exceeded = []
-    """已超额的key
-    
-    供自动切换功能识别
-    """
-
-    def get_using_key(self):
-        return self.using_key
-
-    def get_using_key_md5(self):
-        return hashlib.md5(self.using_key.encode('utf-8')).hexdigest()
-
-    def __init__(self, api_key):
-
-        if type(api_key) is dict:
-            self.api_key = api_key
-        elif type(api_key) is str:
-            self.api_key = {
-                "default": api_key
-            }
-        elif type(api_key) is list:
-            for i in range(len(api_key)):
-                self.api_key[str(i)] = api_key[i]
-        # 从usage中删除未加载的api-key的记录
-        # 不删了，也许会运行时添加曾经有记录的api-key
-
-        self.auto_switch()
-
-    def auto_switch(self) -> (bool, str):
-        """尝试切换api-key
-
-        Returns:
-            是否切换成功, 切换后的api-key的别名
-        """
-
-        for key_name in self.api_key:
-            if self.api_key[key_name] not in self.exceeded:
-                self.using_key = self.api_key[key_name]
-
-                logging.info("使用api-key:" + key_name)
-
-                # 触发插件事件
-                args = {
-                    "key_name": key_name,
-                    "key_list": self.api_key.keys()
-                }
-                _ = plugin_host.emit(plugin_models.KeySwitched, **args)
-
-                return True, key_name
-
-        self.using_key = list(self.api_key.values())[0]
-        logging.info("使用api-key:" + list(self.api_key.keys())[0])
-
-        return False, ""
-
-    def add(self, key_name, key):
-        self.api_key[key_name] = key
-
-    def set_current_exceeded(self):
-        """设置当前使用的api-key使用量超限
-        """
-        self.exceeded.append(self.using_key)
-
-    def get_key_name(self, api_key):
-        """根据api-key获取其别名"""
-        for key_name in self.api_key:
-            if self.api_key[key_name] == api_key:
-                return key_name
-        return ""

pkg/openai/manager.py

@@ -1,93 +0,0 @@
-import logging
-
-import openai
-
-import pkg.openai.keymgr
-import pkg.utils.context
-import pkg.audit.gatherer
-from pkg.openai.modelmgr import ModelRequest, create_openai_model_request
-
-
-class OpenAIInteract:
-    """OpenAI 接口封装
-
-    将文字接口和图片接口封装供调用方使用
-    """
-
-    key_mgr: pkg.openai.keymgr.KeysManager = None
-
-    audit_mgr: pkg.audit.gatherer.DataGatherer = None
-
-    default_image_api_params = {
-        "size": "256x256",
-    }
-
-    def __init__(self, api_key: str):
-
-        self.key_mgr = pkg.openai.keymgr.KeysManager(api_key)
-        self.audit_mgr = pkg.audit.gatherer.DataGatherer()
-
-        logging.info("文字总使用量：%d", self.audit_mgr.get_total_text_length())
-
-        openai.api_key = self.key_mgr.get_using_key()
-
-        pkg.utils.context.set_openai_manager(self)
-
-    # 请求OpenAI Completion
-    def request_completion(self, prompts) -> str:
-        """请求补全接口回复
-
-        Parameters:
-            prompts (str): 提示语
-
-        Returns:
-            str: 回复
-        """
-
-        config = pkg.utils.context.get_config()
-
-        # 根据模型选择使用的接口
-        ai: ModelRequest = create_openai_model_request(
-            config.completion_api_params['model'], 
-            'user', 
-            config.openai_config["http_proxy"] if "http_proxy" in config.openai_config else None
-        )
-        ai.request(
-            prompts,
-            **config.completion_api_params
-        )
-        response = ai.get_response()
-
-        logging.debug("OpenAI response: %s", response)
-
-        if 'model' in config.completion_api_params:
-            self.audit_mgr.report_text_model_usage(config.completion_api_params['model'],
-                                                   ai.get_total_tokens())
-        elif 'engine' in config.completion_api_params:
-            self.audit_mgr.report_text_model_usage(config.completion_api_params['engine'],
-                                                   response['usage']['total_tokens'])
-
-        return ai.get_message()
-
-    def request_image(self, prompt) -> dict:
-        """请求图片接口回复
-
-        Parameters:
-            prompt (str): 提示语
-
-        Returns:
-            dict: 响应
-        """
-        config = pkg.utils.context.get_config()
-        params = config.image_api_params if hasattr(config, "image_api_params") else self.default_image_api_params
-
-        response = openai.Image.create(
-            prompt=prompt,
-            n=1,
-            **params
-        )
-
-        self.audit_mgr.report_image_model_usage(params['size'])
-
-        return response
-

pkg/openai/modelmgr.py

@@ -1,184 +0,0 @@
-"""OpenAI 接口底层封装
-
-目前使用的对话接口有：
-ChatCompletion - gpt-3.5-turbo 等模型
-Completion - text-davinci-003 等模型
-此模块封装此两个接口的请求实现，为上层提供统一的调用方式
-"""
-import openai, logging, threading, asyncio
-import openai.error as aiE
-
-COMPLETION_MODELS = {
-    'text-davinci-003',
-    'text-davinci-002',
-    'code-davinci-002',
-    'code-cushman-001',
-    'text-curie-001',
-    'text-babbage-001',
-    'text-ada-001',
-}
-
-CHAT_COMPLETION_MODELS = {
-    'gpt-3.5-turbo',
-    'gpt-3.5-turbo-0301',
-}
-
-EDIT_MODELS = {
-
-}
-
-IMAGE_MODELS = {
-
-}
-
-
-class ModelRequest:
-    """模型接口请求父类"""
-
-    can_chat = False
-    runtime: threading.Thread = None
-    ret = {}
-    proxy: str = None
-    request_ready = True
-    error_info: str = "若在没有任何错误的情况下看到这句话，请带着配置文件上报Issues"
-
-    def __init__(self, model_name, user_name, request_fun, http_proxy:str = None, time_out = None):
-        self.model_name = model_name
-        self.user_name = user_name
-        self.request_fun = request_fun
-        self.time_out = time_out
-        if http_proxy != None:
-            self.proxy = http_proxy
-            openai.proxy = self.proxy
-            self.request_ready = False
-
-    async def __a_request__(self, **kwargs):
-        """异步请求"""
-
-        try:
-            self.ret:dict = await self.request_fun(**kwargs)
-            self.request_ready = True
-        except aiE.APIConnectionError as e:
-            self.error_info = "{}\n请检查网络连接或代理是否正常".format(e)
-            raise ConnectionError(self.error_info)
-        except ValueError as e:
-            self.error_info = "{}\n该错误可能是由于http_proxy格式设置错误引起的"
-        except Exception as e:
-            self.error_info = "{}\n由于请求异常产生的未知错误，请查看日志".format(e)
-            raise Exception(self.error_info)
-
-    def request(self, **kwargs):
-        """向接口发起请求"""
-
-        if self.proxy != None: #异步请求
-            self.request_ready = False
-            loop = asyncio.new_event_loop()
-            self.runtime = threading.Thread(
-                target=loop.run_until_complete,
-                args=(self.__a_request__(**kwargs),)
-            )
-            self.runtime.start()
-        else: #同步请求
-            self.ret = self.request_fun(**kwargs)
-
-    def __msg_handle__(self, msg):
-        """将prompt dict转换成接口需要的格式"""
-        return msg
-    
-    def ret_handle(self):
-        '''
-        API消息返回处理函数
-        若重写该方法，应检查异步线程状态，或在需要检查处super该方法
-        '''
-        if self.runtime != None and isinstance(self.runtime, threading.Thread):
-            self.runtime.join(self.time_out)
-        if self.request_ready:
-            return
-        raise Exception(self.error_info)
-
-    def get_total_tokens(self):
-        try:
-            return self.ret['usage']['total_tokens']
-        except:
-            return 0
-
-    def get_message(self):
-        return self.message
-
-    def get_response(self):
-        return self.ret
-
-
-class ChatCompletionModel(ModelRequest):
-    """ChatCompletion接口的请求实现"""
-
-    Chat_role = ['system', 'user', 'assistant']
-    def __init__(self, model_name, user_name, http_proxy:str = None, **kwargs):
-        if http_proxy == None:
-            request_fun = openai.ChatCompletion.create
-        else:
-            request_fun = openai.ChatCompletion.acreate
-        self.can_chat = True
-        super().__init__(model_name, user_name, request_fun, http_proxy, **kwargs)
-
-    def request(self, prompts, **kwargs):
-        prompts = self.__msg_handle__(prompts)
-        kwargs['messages'] = prompts
-        super().request(**kwargs)
-        self.ret_handle()
-
-    def __msg_handle__(self, msgs):
-        temp_msgs = []
-        # 把msgs拷贝进temp_msgs
-        for msg in msgs:
-            temp_msgs.append(msg.copy())
-        return temp_msgs
-
-    def get_message(self):
-        return self.ret["choices"][0]["message"]['content'] #需要时直接加载加快请求速度，降低内存消耗
-
-
-class CompletionModel(ModelRequest):
-    """Completion接口的请求实现"""
-
-    def __init__(self, model_name, user_name, http_proxy:str = None, **kwargs):
-        if http_proxy == None:
-            request_fun = openai.Completion.create
-        else:
-            request_fun = openai.Completion.acreate
-        super().__init__(model_name, user_name, request_fun, http_proxy, **kwargs)
-
-    def request(self, prompts, **kwargs):
-        prompts = self.__msg_handle__(prompts)
-        kwargs['prompt'] = prompts
-        super().request(**kwargs)
-        self.ret_handle()
-
-    def __msg_handle__(self, msgs):
-        prompt = ''
-        for msg in msgs:
-            prompt = prompt + "{}: {}\n".format(msg['role'], msg['content'])
-        # for msg in msgs:
-        #     if msg['role'] == 'assistant':
-        #         prompt = prompt + "{}\n".format(msg['content'])
-        #     else:
-        #         prompt = prompt + "{}:{}\n".format(msg['role'] , msg['content'])
-        prompt = prompt + "assistant: "
-        return prompt
-
-    def get_message(self):
-        return self.ret["choices"][0]["text"]
-
-
-def create_openai_model_request(model_name: str, user_name: str = 'user', http_proxy:str = None) -> ModelRequest:
-    """使用给定的模型名称创建模型请求对象"""
-    if model_name in CHAT_COMPLETION_MODELS:
-        model = ChatCompletionModel(model_name, user_name, http_proxy)
-    elif model_name in COMPLETION_MODELS:
-        model = CompletionModel(model_name, user_name, http_proxy)
-    else :
-        log = "找不到模型[{}]，请检查配置文件".format(model_name)
-        logging.error(log)
-        raise IndexError(log)
-    logging.debug("使用接口[{}]创建模型请求[{}]".format(model.__class__.__name__, model_name))
-    return model

pkg/openai/pricing.bak.py

@@ -1,28 +0,0 @@
-# 计费模块
-# 已弃用 https://github.com/RockChinQ/QChatGPT/issues/81
-
-import logging
-
-pricing = {
-    "base": {  # 文字模型单位是1000字符
-        "text-davinci-003": 0.02,
-    },
-    "image": {
-        "256x256": 0.016,
-        "512x512": 0.018,
-        "1024x1024": 0.02,
-    }
-}
-
-
-def language_base_price(model, text):
-    salt_rate = 0.93
-    length = ((len(text.encode('utf-8')) - len(text)) / 2 + len(text)) * salt_rate
-    logging.debug("text length: %d" % length)
-
-    return pricing["base"][model] * length / 1000
-
-
-def image_price(size):
-    logging.debug("image size: %s" % size)
-    return pricing["image"][size]

pkg/openai/session.py

@@ -1,370 +0,0 @@
-"""主线使用的会话管理模块
-
-每个人、每个群单独一个session，session内部保留了对话的上下文，
-"""
-
-import logging
-import threading
-import time
-import json
-
-import pkg.openai.manager
-import pkg.openai.modelmgr
-import pkg.database.manager
-import pkg.utils.context
-
-import pkg.plugin.host as plugin_host
-import pkg.plugin.models as plugin_models
-
-# 运行时保存的所有session
-sessions = {}
-
-
-class SessionOfflineStatus:
-    ON_GOING = 'on_going'
-    EXPLICITLY_CLOSED = 'explicitly_closed'
-
-
-# 重置session.prompt
-def reset_session_prompt(session_name, prompt):
-    # 备份原始数据
-    bak_path = 'logs/{}-{}.bak'.format(
-        session_name,
-        time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
-    )
-    f = open(bak_path, 'w+')
-    f.write(prompt)
-    f.close()
-    # 生成新数据
-    config = pkg.utils.context.get_config()
-    prompt = [
-        {
-            'role': 'system',
-            'content': config.default_prompt['default']
-        }
-    ]
-    # 警告
-    logging.warning(
-        """
-用户[{}]的数据已被重置，有可能是因为数据版本过旧或存储错误
-原始数据将备份在：
-{}""".format(session_name, bak_path)
-    )  # 为保证多行文本格式正确故无缩进
-    return prompt
-
-
-# 从数据加载session
-def load_sessions():
-    """从数据库加载sessions"""
-
-    global sessions
-
-    db_inst = pkg.utils.context.get_database_manager()
-
-    session_data = db_inst.load_valid_sessions()
-
-    for session_name in session_data:
-        logging.info('加载session: {}'.format(session_name))
-
-        temp_session = Session(session_name)
-        temp_session.name = session_name
-        temp_session.create_timestamp = session_data[session_name]['create_timestamp']
-        temp_session.last_interact_timestamp = session_data[session_name]['last_interact_timestamp']
-        try:
-            temp_session.prompt = json.loads(session_data[session_name]['prompt'])
-        except Exception:
-            temp_session.prompt = reset_session_prompt(session_name, session_data[session_name]['prompt'])
-            temp_session.persistence()
-
-        sessions[session_name] = temp_session
-
-
-# 获取指定名称的session，如果不存在则创建一个新的
-def get_session(session_name: str):
-    global sessions
-    if session_name not in sessions:
-        sessions[session_name] = Session(session_name)
-    return sessions[session_name]
-
-
-def dump_session(session_name: str):
-    global sessions
-    if session_name in sessions:
-        assert isinstance(sessions[session_name], Session)
-        sessions[session_name].persistence()
-        del sessions[session_name]
-
-
-# 通用的OpenAI API交互session
-# session内部保留了对话的上下文，
-# 收到用户消息后，将上下文提交给OpenAI API生成回复
-class Session:
-    name = ''
-
-    prompt = []
-    """使用list来保存会话中的回合"""
-
-    create_timestamp = 0
-    """会话创建时间"""
-
-    last_interact_timestamp = 0
-    """上次交互(产生回复)时间"""
-
-    just_switched_to_exist_session = False
-
-    response_lock = None
-
-    # 加锁
-    def acquire_response_lock(self):
-        logging.debug('{},lock acquire,{}'.format(self.name, self.response_lock))
-        self.response_lock.acquire()
-        logging.debug('{},lock acquire successfully,{}'.format(self.name, self.response_lock))
-
-    # 释放锁
-    def release_response_lock(self):
-        if self.response_lock.locked():
-            logging.debug('{},lock release,{}'.format(self.name, self.response_lock))
-            self.response_lock.release()
-            logging.debug('{},lock release successfully,{}'.format(self.name, self.response_lock))
-
-    # 从配置文件获取会话预设信息
-    def get_default_prompt(self, use_default: str = None):
-        config = pkg.utils.context.get_config()
-
-        import pkg.openai.dprompt as dprompt
-
-        if use_default is None:
-            current_default_prompt = dprompt.get_prompt(dprompt.get_current())
-        else:
-            current_default_prompt = dprompt.get_prompt(use_default)
-
-        return [
-            {
-                'role': 'user',
-                'content': current_default_prompt
-            }, {
-                'role': 'assistant',
-                'content': 'ok'
-            }
-        ]
-
-    def __init__(self, name: str):
-        self.name = name
-        self.create_timestamp = int(time.time())
-        self.last_interact_timestamp = int(time.time())
-        self.schedule()
-
-        self.response_lock = threading.Lock()
-        self.prompt = self.get_default_prompt()
-
-    # 设定检查session最后一次对话是否超过过期时间的计时器
-    def schedule(self):
-        threading.Thread(target=self.expire_check_timer_loop, args=(self.create_timestamp,)).start()
-
-    # 检查session是否已经过期
-    def expire_check_timer_loop(self, create_timestamp: int):
-        global sessions
-        while True:
-            time.sleep(60)
-
-            # 不是此session已更换，退出
-            if self.create_timestamp != create_timestamp or self not in sessions.values():
-                return
-
-            config = pkg.utils.context.get_config()
-            if int(time.time()) - self.last_interact_timestamp > config.session_expire_time:
-                logging.info('session {} 已过期'.format(self.name))
-
-                # 触发插件事件
-                args = {
-                    'session_name': self.name,
-                    'session': self,
-                    'session_expire_time': config.session_expire_time
-                }
-                event = pkg.plugin.host.emit(plugin_models.SessionExpired, **args)
-                if event.is_prevented_default():
-                    return
-
-                self.reset(expired=True, schedule_new=False)
-
-                # 删除此session
-                del sessions[self.name]
-                return
-
-    # 请求回复
-    # 这个函数是阻塞的
-    def append(self, text: str) -> str:
-        """向session中添加一条消息，返回接口回复"""
-
-        self.last_interact_timestamp = int(time.time())
-
-        # 触发插件事件
-        if self.prompt == self.get_default_prompt():
-            args = {
-                'session_name': self.name,
-                'session': self,
-                'default_prompt': self.prompt,
-            }
-
-            event = pkg.plugin.host.emit(plugin_models.SessionFirstMessageReceived, **args)
-            if event.is_prevented_default():
-                return None
-
-        config = pkg.utils.context.get_config()
-        max_length = config.prompt_submit_length if hasattr(config, "prompt_submit_length") else 1024
-
-        # 向API请求补全
-        message = pkg.utils.context.get_openai_manager().request_completion(
-            self.cut_out(text, max_length),
-        )
-
-        # 成功获取，处理回复
-        res_test = message
-        res_ans = res_test
-
-        # 去除开头可能的提示
-        res_ans_spt = res_test.split("\n\n")
-        if len(res_ans_spt) > 1:
-            del (res_ans_spt[0])
-            res_ans = '\n\n'.join(res_ans_spt)
-
-        # 将此次对话的双方内容加入到prompt中
-        self.prompt.append({'role': 'user', 'content': text})
-        self.prompt.append({'role': 'assistant', 'content': res_ans})
-
-        if self.just_switched_to_exist_session:
-            self.just_switched_to_exist_session = False
-            self.set_ongoing()
-
-        return res_ans if res_ans[0] != '\n' else res_ans[1:]
-
-    # 删除上一回合并返回上一回合的问题
-    def undo(self) -> str:
-        self.last_interact_timestamp = int(time.time())
-
-        # 删除最后两个消息
-        if len(self.prompt) < 2:
-            raise Exception('之前无对话，无法撤销')
-
-        question = self.prompt[-2]['content']
-        self.prompt = self.prompt[:-2]
-
-        # 返回上一回合的问题
-        return question
-
-    # 构建对话体
-    def cut_out(self, msg: str, max_tokens: int) -> list:
-        """将现有prompt进行切割处理，使得新的prompt长度不超过max_tokens"""
-        # 如果用户消息长度超过max_tokens，直接返回
-
-        temp_prompt = [
-            {
-                'role': 'user',
-                'content': msg
-            }
-        ]
-
-        token_count = len(msg)
-        # 倒序遍历prompt
-        for i in range(len(self.prompt) - 1, -1, -1):
-            if token_count >= max_tokens:
-                break
-
-            # 将prompt加到temp_prompt头部
-            temp_prompt.insert(0, self.prompt[i])
-            token_count += len(self.prompt[i]['content'])
-
-        logging.debug('cut_out: {}'.format(str(temp_prompt)))
-
-        return temp_prompt
-
-    # 持久化session
-    def persistence(self):
-        if self.prompt == self.get_default_prompt():
-            return
-
-        db_inst = pkg.utils.context.get_database_manager()
-
-        name_spt = self.name.split('_')
-
-        subject_type = name_spt[0]
-        subject_number = int(name_spt[1])
-
-        db_inst.persistence_session(subject_type, subject_number, self.create_timestamp, self.last_interact_timestamp,
-                                    json.dumps(self.prompt))
-
-    # 重置session
-    def reset(self, explicit: bool = False, expired: bool = False, schedule_new: bool = True, use_prompt: str = None):
-        if self.prompt[-1]['role'] != "system":
-            self.persistence()
-            if explicit:
-                # 触发插件事件
-                args = {
-                    'session_name': self.name,
-                    'session': self
-                }
-
-                # 此事件不支持阻止默认行为
-                _ = pkg.plugin.host.emit(plugin_models.SessionExplicitReset, **args)
-
-                pkg.utils.context.get_database_manager().explicit_close_session(self.name, self.create_timestamp)
-
-            if expired:
-                pkg.utils.context.get_database_manager().set_session_expired(self.name, self.create_timestamp)
-        self.prompt = self.get_default_prompt(use_prompt)
-        self.create_timestamp = int(time.time())
-        self.last_interact_timestamp = int(time.time())
-        self.just_switched_to_exist_session = False
-
-        # self.response_lock = threading.Lock()
-
-        if schedule_new:
-            self.schedule()
-
-    # 将本session的数据库状态设置为on_going
-    def set_ongoing(self):
-        pkg.utils.context.get_database_manager().set_session_ongoing(self.name, self.create_timestamp)
-
-    # 切换到上一个session
-    def last_session(self):
-        last_one = pkg.utils.context.get_database_manager().last_session(self.name, self.last_interact_timestamp)
-        if last_one is None:
-            return None
-        else:
-            self.persistence()
-
-            self.create_timestamp = last_one['create_timestamp']
-            self.last_interact_timestamp = last_one['last_interact_timestamp']
-            try:
-                self.prompt = json.loads(last_one['prompt'])
-            except json.decoder.JSONDecodeError:
-                self.prompt = reset_session_prompt(self.name, last_one['prompt'])
-                self.persistence()
-
-            self.just_switched_to_exist_session = True
-            return self
-
-    # 切换到下一个session
-    def next_session(self):
-        next_one = pkg.utils.context.get_database_manager().next_session(self.name, self.last_interact_timestamp)
-        if next_one is None:
-            return None
-        else:
-            self.persistence()
-
-            self.create_timestamp = next_one['create_timestamp']
-            self.last_interact_timestamp = next_one['last_interact_timestamp']
-            try:
-                self.prompt = json.loads(next_one['prompt'])
-            except json.decoder.JSONDecodeError:
-                self.prompt = reset_session_prompt(self.name, next_one['prompt'])
-                self.persistence()
-
-            self.just_switched_to_exist_session = True
-            return self
-
-    def list_history(self, capacity: int = 10, page: int = 0):
-        return pkg.utils.context.get_database_manager().list_history(self.name, capacity, page)
-
-    def draw_image(self, prompt: str):
-        return pkg.utils.context.get_openai_manager().request_image(prompt)

pkg/plugin/host.py

@@ -1,325 +0,0 @@
-# 插件管理模块
-import asyncio
-import logging
-import importlib
-import os
-import pkgutil
-import sys
-import traceback
-
-import pkg.utils.context as context
-import pkg.plugin.switch as switch
-import pkg.plugin.settings as settings
-
-from mirai import Mirai
-
-__plugins__ = {}
-"""
-插件列表
-
-示例:
-{
-    "example": {
-        "path": "plugins/example/main.py",
-        "enabled: True,
-        "name": "example",
-        "description": "example",
-        "version": "0.0.1",
-        "author": "RockChinQ",
-        "class": <class 'plugins.example.ExamplePlugin'>,
-        "hooks": {
-            "person_message": [
-                <function ExamplePlugin.person_message at 0x0000020E1D1B8D38>
-            ]
-        },
-        "instance": None
-    }
-}"""
-
-__plugins_order__ = []
-"""插件顺序"""
-
-
-def generate_plugin_order():
-    """ 根据__plugin__生成插件初始顺序，无视是否启用 """
-    global __plugins_order__
-    __plugins_order__ = []
-    for plugin_name in __plugins__:
-        __plugins_order__.append(plugin_name)
-
-
-def iter_plugins():
-    """ 按照顺序迭代插件 """
-    for plugin_name in __plugins_order__:
-        yield __plugins__[plugin_name]
-
-
-def iter_plugins_name():
-    """ 迭代插件名 """
-    for plugin_name in __plugins_order__:
-        yield plugin_name
-
-
-__current_module_path__ = ""
-
-
-def walk_plugin_path(module, prefix='', path_prefix=''):
-    global __current_module_path__
-    """遍历插件路径"""
-    for item in pkgutil.iter_modules(module.__path__):
-        if item.ispkg:
-            logging.debug("扫描插件包: plugins/{}".format(path_prefix + item.name))
-            walk_plugin_path(__import__(module.__name__ + '.' + item.name, fromlist=['']),
-                             prefix + item.name + '.', path_prefix + item.name + '/')
-        else:
-            try:
-                logging.debug("扫描插件模块: plugins/{}".format(path_prefix + item.name + '.py'))
-                __current_module_path__ = "plugins/"+path_prefix + item.name + '.py'
-
-                importlib.import_module(module.__name__ + '.' + item.name)
-                logging.info('加载模块: plugins/{} 成功'.format(path_prefix + item.name + '.py'))
-            except:
-                logging.error('加载模块: plugins/{} 失败: {}'.format(path_prefix + item.name + '.py', sys.exc_info()))
-                traceback.print_exc()
-
-
-def load_plugins():
-    """ 加载插件 """
-    logging.info("加载插件")
-    PluginHost()
-    walk_plugin_path(__import__('plugins'))
-
-    logging.debug(__plugins__)
-
-    # 加载开关数据
-    switch.load_switch()
-
-    # 生成初始顺序
-    generate_plugin_order()
-    # 加载插件顺序
-    settings.load_settings()
-
-
-def initialize_plugins():
-    """ 初始化插件 """
-    logging.info("初始化插件")
-    import pkg.plugin.models as models
-    for plugin in iter_plugins():
-        if not plugin['enabled']:
-            continue
-        try:
-            models.__current_registering_plugin__ = plugin['name']
-            plugin['instance'] = plugin["class"](plugin_host=context.get_plugin_host())
-            logging.info("插件 {} 已初始化".format(plugin['name']))
-        except:
-            logging.error("插件{}初始化时发生错误: {}".format(plugin['name'], sys.exc_info()))
-
-
-def unload_plugins():
-    """ 卸载插件
-    """
-    # 不再显式卸载插件，因为当程序结束时，插件的析构函数会被系统执行
-    # for plugin in __plugins__.values():
-    #     if plugin['enabled'] and plugin['instance'] is not None:
-    #         if not hasattr(plugin['instance'], '__del__'):
-    #             logging.warning("插件{}没有定义析构函数".format(plugin['name']))
-    #         else:
-    #             try:
-    #                 plugin['instance'].__del__()
-    #                 logging.info("卸载插件: {}".format(plugin['name']))
-    #                 plugin['instance'] = None
-    #             except:
-    #                 logging.error("插件{}卸载时发生错误: {}".format(plugin['name'], sys.exc_info()))
-
-
-def install_plugin(repo_url: str):
-    """ 安装插件，从git储存库获取并解决依赖 """
-    try:
-        import pkg.utils.pkgmgr
-        pkg.utils.pkgmgr.ensure_dulwich()
-    except:
-        pass
-
-    try:
-        import dulwich
-    except ModuleNotFoundError:
-        raise Exception("dulwich模块未安装,请查看 https://github.com/RockChinQ/QChatGPT/issues/77")
-
-    from dulwich import porcelain
-
-    logging.info("克隆插件储存库: {}".format(repo_url))
-    repo = porcelain.clone(repo_url, "plugins/"+repo_url.split(".git")[0].split("/")[-1]+"/", checkout=True)
-
-    # 检查此目录是否包含requirements.txt
-    if os.path.exists("plugins/"+repo_url.split(".git")[0].split("/")[-1]+"/requirements.txt"):
-        logging.info("检测到requirements.txt，正在安装依赖")
-        import pkg.utils.pkgmgr
-        pkg.utils.pkgmgr.install_requirements("plugins/"+repo_url.split(".git")[0].split("/")[-1]+"/requirements.txt")
-
-        import main
-        main.reset_logging()
-
-
-class EventContext:
-    """ 事件上下文 """
-    eid = 0
-    """事件编号"""
-
-    name = ""
-
-    __prevent_default__ = False
-    """ 是否阻止默认行为 """
-
-    __prevent_postorder__ = False
-    """ 是否阻止后续插件的执行 """
-
-    __return_value__ = {}
-    """ 返回值 
-    示例:
-    {
-        "example": [
-            'value1',
-            'value2',
-            3,
-            4,
-            {
-                'key1': 'value1',
-            },
-            ['value1', 'value2']
-        ]
-    }
-    """
-
-    def add_return(self, key: str, ret):
-        """添加返回值"""
-        if key not in self.__return_value__:
-            self.__return_value__[key] = []
-        self.__return_value__[key].append(ret)
-
-    def get_return(self, key: str):
-        """获取key的所有返回值"""
-        if key in self.__return_value__:
-            return self.__return_value__[key]
-        return None
-
-    def get_return_value(self, key: str):
-        """获取key的首个返回值"""
-        if key in self.__return_value__:
-            return self.__return_value__[key][0]
-        return None
-
-    def prevent_default(self):
-        """阻止默认行为"""
-        self.__prevent_default__ = True
-
-    def prevent_postorder(self):
-        """阻止后续插件执行"""
-        self.__prevent_postorder__ = True
-
-    def is_prevented_default(self):
-        """是否阻止默认行为"""
-        return self.__prevent_default__
-
-    def is_prevented_postorder(self):
-        """是否阻止后序插件执行"""
-        return self.__prevent_postorder__
-
-    def __init__(self, name: str):
-        self.name = name
-        self.eid = EventContext.eid
-        self.__prevent_default__ = False
-        self.__prevent_postorder__ = False
-        self.__return_value__ = {}
-        EventContext.eid += 1
-
-
-def emit(event_name: str, **kwargs) -> EventContext:
-    """ 触发事件 """
-    import pkg.utils.context as context
-    if context.get_plugin_host() is None:
-        return None
-    return context.get_plugin_host().emit(event_name, **kwargs)
-
-
-class PluginHost:
-    """插件宿主"""
-
-    def __init__(self):
-        context.set_plugin_host(self)
-
-    def get_runtime_context(self) -> context:
-        """获取运行时上下文（pkg.utils.context模块的对象）
-
-        此上下文用于和主程序其他模块交互（数据库、QQ机器人、OpenAI接口等）
-        详见pkg.utils.context模块
-        其中的context变量保存了其他重要模块的类对象，可以使用这些对象进行交互
-        """
-        return context
-
-    def get_bot(self) -> Mirai:
-        """获取机器人对象"""
-        return context.get_qqbot_manager().bot
-
-    def send_person_message(self, person, message):
-        """发送私聊消息"""
-        asyncio.run(self.get_bot().send_friend_message(person, message))
-
-    def send_group_message(self, group, message):
-        """发送群消息"""
-        asyncio.run(self.get_bot().send_group_message(group, message))
-
-    def notify_admin(self, message):
-        """通知管理员"""
-        context.get_qqbot_manager().notify_admin(message)
-
-    def emit(self, event_name: str, **kwargs) -> EventContext:
-        """ 触发事件 """
-        import json
-
-        event_context = EventContext(event_name)
-        logging.debug("触发事件: {} ({})".format(event_name, event_context.eid))
-        for plugin in iter_plugins():
-            
-            if not plugin['enabled']:
-                continue
-
-            # if plugin['instance'] is None:
-            #     # 从关闭状态切到开启状态之后，重新加载插件
-            #     try:
-            #         plugin['instance'] = plugin["class"](plugin_host=self)
-            #         logging.info("插件 {} 已初始化".format(plugin['name']))
-            #     except:
-            #         logging.error("插件 {} 初始化时发生错误: {}".format(plugin['name'], sys.exc_info()))
-            #         continue
-
-            if 'hooks' not in plugin or event_name not in plugin['hooks']:
-                continue
-
-            hooks = []
-            if event_name in plugin["hooks"]:
-                hooks = plugin["hooks"][event_name]
-            for hook in hooks:
-                try:
-                    already_prevented_default = event_context.is_prevented_default()
-
-                    kwargs['host'] = context.get_plugin_host()
-                    kwargs['event'] = event_context
-
-                    hook(plugin['instance'], **kwargs)
-
-                    if event_context.is_prevented_default() and not already_prevented_default:
-                        logging.debug("插件 {} 已要求阻止事件 {} 的默认行为".format(plugin['name'], event_name))
-
-                except Exception as e:
-                    logging.error("插件{}触发事件{}时发生错误".format(plugin['name'], event_name))
-                    logging.error(traceback.format_exc())
-
-            # print("done:{}".format(plugin['name']))
-            if event_context.is_prevented_postorder():
-                logging.debug("插件 {} 阻止了后序插件的执行".format(plugin['name']))
-                break
-
-        logging.debug("事件 {} ({}) 处理完毕，返回值: {}".format(event_name, event_context.eid,
-                                                                event_context.__return_value__))
-
-        return event_context

pkg/plugin/models.py

@@ -1,223 +0,0 @@
-import logging
-
-import pkg.plugin.host as host
-import pkg.utils.context
-
-PersonMessageReceived = "person_message_received"
-"""收到私聊消息时，在判断是否应该响应前触发
-    kwargs:
-        launcher_type: str 发起对象类型(group/person)
-        launcher_id: int 发起对象ID(群号/QQ号)
-        sender_id: int 发送者ID(QQ号)
-        message_chain: mirai.models.message.MessageChain 消息链
-"""
-
-GroupMessageReceived = "group_message_received"
-"""收到群聊消息时，在判断是否应该响应前触发（所有群消息）
-    kwargs:
-        launcher_type: str 发起对象类型(group/person)
-        launcher_id: int 发起对象ID(群号/QQ号)
-        sender_id: int 发送者ID(QQ号)
-        message_chain: mirai.models.message.MessageChain 消息链
-"""
-
-PersonNormalMessageReceived = "person_normal_message_received"
-"""判断为应该处理的私聊普通消息时触发
-    kwargs:
-        launcher_type: str 发起对象类型(group/person)
-        launcher_id: int 发起对象ID(群号/QQ号)
-        sender_id: int 发送者ID(QQ号)
-        text_message: str 消息文本
-        
-    returns (optional):
-        alter: str 修改后的消息文本
-        reply: list 回复消息组件列表
-"""
-
-PersonCommandSent = "person_command_sent"
-"""判断为应该处理的私聊指令时触发
-    kwargs:
-        launcher_type: str 发起对象类型(group/person)
-        launcher_id: int 发起对象ID(群号/QQ号)
-        sender_id: int 发送者ID(QQ号)
-        command: str 指令
-        params: list[str] 参数列表
-        text_message: str 完整指令文本
-        is_admin: bool 是否为管理员
-    
-    returns (optional):
-        alter: str 修改后的完整指令文本
-        reply: list 回复消息组件列表
-"""
-
-GroupNormalMessageReceived = "group_normal_message_received"
-"""判断为应该处理的群聊普通消息时触发
-    kwargs:
-        launcher_type: str 发起对象类型(group/person)
-        launcher_id: int 发起对象ID(群号/QQ号)
-        sender_id: int 发送者ID(QQ号)
-        text_message: str 消息文本
-        
-    returns (optional):
-        alter: str 修改后的消息文本
-        reply: list 回复消息组件列表
-"""
-
-GroupCommandSent = "group_command_sent"
-"""判断为应该处理的群聊指令时触发
-    kwargs:
-        launcher_type: str 发起对象类型(group/person)
-        launcher_id: int 发起对象ID(群号/QQ号)
-        sender_id: int 发送者ID(QQ号)
-        command: str 指令
-        params: list[str] 参数列表
-        text_message: str 完整指令文本
-        is_admin: bool 是否为管理员
-    
-    returns (optional):
-        alter: str 修改后的完整指令文本
-        reply: list 回复消息组件列表
-"""
-
-NormalMessageResponded = "normal_message_responded"
-"""获取到对普通消息的文字响应时触发
-    kwargs:
-        launcher_type: str 发起对象类型(group/person)
-        launcher_id: int 发起对象ID(群号/QQ号)
-        sender_id: int 发送者ID(QQ号)
-        session: pkg.openai.session.Session 会话对象
-        prefix: str 回复文字消息的前缀
-        response_text: str 响应文本
-    
-    returns (optional):
-        prefix: str 修改后的回复文字消息的前缀
-        reply: list 替换回复消息组件列表
-"""
-
-SessionFirstMessageReceived = "session_first_message_received"
-"""会话被第一次交互时触发
-    kwargs:
-        session_name: str 会话名称(<launcher_type>_<launcher_id>)
-        session: pkg.openai.session.Session 会话对象
-        default_prompt: str 预设值
-"""
-
-SessionExplicitReset = "session_reset"
-"""会话被用户手动重置时触发，此事件不支持阻止默认行为
-    kwargs:
-        session_name: str 会话名称(<launcher_type>_<launcher_id>)
-        session: pkg.openai.session.Session 会话对象
-"""
-
-SessionExpired = "session_expired"
-"""会话过期时触发
-    kwargs:
-        session_name: str 会话名称(<launcher_type>_<launcher_id>)
-        session: pkg.openai.session.Session 会话对象
-        session_expire_time: int 已设置的会话过期时间(秒)
-"""
-
-KeyExceeded = "key_exceeded"
-"""api-key超额时触发
-    kwargs:
-        key_name: str 超额的api-key名称
-        usage: dict 超额的api-key使用情况
-        exceeded_keys: list[str] 超额的api-key列表
-"""
-
-KeySwitched = "key_switched"
-"""api-key超额切换成功时触发，此事件不支持阻止默认行为
-    kwargs:
-        key_name: str 切换成功的api-key名称
-        key_list: list[str] api-key列表
-"""
-
-
-def on(event: str):
-    """注册事件监听器
-    :param
-        event: str 事件名称
-    """
-    return Plugin.on(event)
-
-
-__current_registering_plugin__ = ""
-
-
-class Plugin:
-    """插件基类"""
-
-    host: host.PluginHost
-    """插件宿主，提供插件的一些基础功能"""
-
-    @classmethod
-    def on(cls, event):
-        """事件处理器装饰器
-
-        :param
-            event: 事件类型
-        :return:
-            None
-        """
-        global __current_registering_plugin__
-
-        def wrapper(func):
-            plugin_hooks = host.__plugins__[__current_registering_plugin__]["hooks"]
-
-            if event not in plugin_hooks:
-                plugin_hooks[event] = []
-            plugin_hooks[event].append(func)
-
-            # print("registering hook: p='{}', e='{}', f={}".format(__current_registering_plugin__, event, func))
-
-            host.__plugins__[__current_registering_plugin__]["hooks"] = plugin_hooks
-
-            return func
-
-        return wrapper
-
-
-def register(name: str, description: str, version: str, author: str):
-    """注册插件, 此函数作为装饰器使用
-
-    Args:
-        name (str): 插件名称
-        description (str): 插件描述
-        version (str): 插件版本
-        author (str): 插件作者
-
-    Returns:
-        None
-    """
-    global __current_registering_plugin__
-
-    __current_registering_plugin__ = name
-    # print("registering plugin: n='{}', d='{}', v={}, a='{}'".format(name, description, version, author))
-    host.__plugins__[name] = {
-        "name": name,
-        "description": description,
-        "version": version,
-        "author": author,
-        "hooks": {},
-        "path": host.__current_module_path__,
-        "enabled": True,
-        "instance": None,
-    }
-
-    def wrapper(cls: Plugin):
-        cls.name = name
-        cls.description = description
-        cls.version = version
-        cls.author = author
-        cls.host = pkg.utils.context.get_plugin_host()
-        cls.enabled = True
-        cls.path = host.__current_module_path__
-
-        # 存到插件列表
-        host.__plugins__[name]["class"] = cls
-
-        logging.info("插件注册完成: n='{}', d='{}', v={}, a='{}' ({})".format(name, description, version, author, cls))
-
-        return cls
-
-    return wrapper

pkg/plugin/settings.py

@@ -1,84 +0,0 @@
-import json
-import os
-
-import pkg.plugin.host as host
-import logging
-
-
-def wrapper_dict_from_runtime_context() -> dict:
-    """从变量中包装settings.json的数据字典"""
-    settings = {
-        "order": []
-    }
-
-    for plugin_name in host.__plugins_order__:
-        settings["order"].append(plugin_name)
-
-    return settings
-
-
-def apply_settings(settings: dict):
-    """将settings.json数据应用到变量中"""
-    if "order" in settings:
-        host.__plugins_order__ = settings["order"]
-
-
-def dump_settings():
-    """保存settings.json数据"""
-    logging.debug("保存plugins/settings.json数据")
-
-    settings = wrapper_dict_from_runtime_context()
-
-    with open("plugins/settings.json", "w", encoding="utf-8") as f:
-        json.dump(settings, f, indent=4, ensure_ascii=False)
-
-
-def load_settings():
-    """加载settings.json数据"""
-    logging.debug("加载plugins/settings.json数据")
-
-    # 读取plugins/settings.json
-    settings = {
-    }
-
-    # 检查文件是否存在
-    if not os.path.exists("plugins/settings.json"):
-        # 不存在则创建
-        with open("plugins/settings.json", "w", encoding="utf-8") as f:
-            json.dump(wrapper_dict_from_runtime_context(), f, indent=4, ensure_ascii=False)
-
-    with open("plugins/settings.json", "r", encoding="utf-8") as f:
-        settings = json.load(f)
-
-    if settings is None:
-        settings = {
-        }
-
-    # 检查每个设置项
-    if "order" not in settings:
-        settings["order"] = []
-
-    settings_modified = False
-
-    settings_copy = settings.copy()
-
-    # 检查settings中多余的插件项
-
-    # order
-    for plugin_name in settings_copy["order"]:
-        if plugin_name not in host.__plugins_order__:
-            settings["order"].remove(plugin_name)
-            settings_modified = True
-
-    # 检查settings中缺少的插件项
-
-    # order
-    for plugin_name in host.__plugins_order__:
-        if plugin_name not in settings_copy["order"]:
-            settings["order"].append(plugin_name)
-            settings_modified = True
-
-    apply_settings(settings)
-
-    if settings_modified:
-        dump_settings()

pkg/plugin/switch.py

@@ -1,89 +0,0 @@
-# 控制插件的开关
-import json
-import logging
-import os
-
-import pkg.plugin.host as host
-
-
-def wrapper_dict_from_plugin_list() -> dict:
-    """ 将插件列表转换为开关json """
-    switch = {}
-
-    for plugin_name in host.__plugins__:
-        plugin = host.__plugins__[plugin_name]
-
-        switch[plugin_name] = {
-            "path": plugin["path"],
-            "enabled": plugin["enabled"],
-        }
-
-    return switch
-
-
-def apply_switch(switch: dict):
-    """将开关数据应用到插件列表中"""
-    # print("将开关数据应用到插件列表中")
-    # print(switch)
-    for plugin_name in switch:
-        host.__plugins__[plugin_name]["enabled"] = switch[plugin_name]["enabled"]
-
-
-def dump_switch():
-    """ 保存开关数据 """
-    logging.debug("保存开关数据")
-    # 将开关数据写入plugins/switch.json
-
-    switch = wrapper_dict_from_plugin_list()
-
-    with open("plugins/switch.json", "w", encoding="utf-8") as f:
-        json.dump(switch, f, indent=4, ensure_ascii=False)
-
-
-def load_switch():
-    """ 加载开关数据 """
-    logging.debug("加载开关数据")
-    # 读取plugins/switch.json
-
-    switch = {}
-
-    # 检查文件是否存在
-    if not os.path.exists("plugins/switch.json"):
-        # 不存在则创建
-        with open("plugins/switch.json", "w", encoding="utf-8") as f:
-            json.dump(switch, f, indent=4, ensure_ascii=False)
-
-    with open("plugins/switch.json", "r", encoding="utf-8") as f:
-        switch = json.load(f)
-
-    if switch is None:
-        switch = {}
-
-    switch_modified = False
-
-    switch_copy = switch.copy()
-    # 检查switch中多余的和path不相符的
-    for plugin_name in switch_copy:
-        if plugin_name not in host.__plugins__:
-            del switch[plugin_name]
-            switch_modified = True
-        elif switch[plugin_name]["path"] != host.__plugins__[plugin_name]["path"]:
-            # 删除此不相符的
-            del switch[plugin_name]
-            switch_modified = True
-
-    # 检查plugin中多余的
-    for plugin_name in host.__plugins__:
-        if plugin_name not in switch:
-            switch[plugin_name] = {
-                "path": host.__plugins__[plugin_name]["path"],
-                "enabled": host.__plugins__[plugin_name]["enabled"],
-            }
-            switch_modified = True
-
-    # 应用开关数据
-    apply_switch(switch)
-
-    # 如果switch有修改，保存
-    if switch_modified:
-        dump_switch()

pkg/qqbot/banlist.py

@@ -1,50 +0,0 @@
-import pkg.utils.context
-
-
-def is_banned(launcher_type: str, launcher_id: int, sender_id: int) -> bool:
-    if not pkg.utils.context.get_qqbot_manager().enable_banlist:
-        return False
-    
-    result = False
-    
-    if launcher_type == 'group':
-        # 检查是否显式声明发起人QQ要被person忽略
-        if sender_id in pkg.utils.context.get_qqbot_manager().ban_person:
-            result = True
-        else:
-            for group_rule in pkg.utils.context.get_qqbot_manager().ban_group:
-                if type(group_rule) == int:
-                    if group_rule == launcher_id:  # 此群群号被禁用
-                        result = True
-                elif type(group_rule) == str:
-                    if group_rule.startswith('!'):
-                        # 截取!后面的字符串作为表达式，判断是否匹配
-                        reg_str = group_rule[1:]
-                        import re
-                        if re.match(reg_str, str(launcher_id)):  # 被豁免，最高级别
-                            result = False
-                            break
-                    else:
-                        # 判断是否匹配regexp
-                        import re
-                        if re.match(group_rule, str(launcher_id)):  # 此群群号被禁用
-                            result = True
-                    
-    else:
-        # ban_person, 与群规则相同
-        for person_rule in pkg.utils.context.get_qqbot_manager().ban_person:
-            if type(person_rule) == int:
-                if person_rule == launcher_id:
-                    result = True
-            elif type(person_rule) == str:
-                if person_rule.startswith('!'):
-                    reg_str = person_rule[1:]
-                    import re
-                    if re.match(reg_str, str(launcher_id)):
-                        result = False
-                        break
-                else:
-                    import re
-                    if re.match(person_rule, str(launcher_id)):
-                        result = True
-    return result

pkg/qqbot/blob.py

@@ -1,105 +0,0 @@
-# 长消息处理相关
-import logging
-import os
-import time
-import base64
-
-import config
-from mirai.models.message import MessageComponent, MessageChain, Image
-from mirai.models.message import ForwardMessageNode
-from mirai.models.base import MiraiBaseModel
-from typing import List
-import pkg.utils.context as context
-import pkg.utils.text2img as text2img
-
-
-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: 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: 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]'
-
-
-def text_to_image(text: str) -> MessageComponent:
-    """将文本转换成图片"""
-    # 检查temp文件夹是否存在
-    if not os.path.exists('temp'):
-        os.mkdir('temp')
-    img_path = text2img.text_to_image(text_str=text, save_as='temp/{}.png'.format(int(time.time())))
-    
-    compressed_path, size = text2img.compress_image(img_path, outfile="temp/{}_compressed.png".format(int(time.time())))
-    # 读取图片，转换成base64
-    with open(compressed_path, 'rb') as f:
-        img = f.read()
-
-    b64 = base64.b64encode(img)
-
-    # 删除图片
-    os.remove(img_path)
-
-    # 判断compressed_path是否存在
-    if os.path.exists(compressed_path):
-        os.remove(compressed_path)
-    # 返回图片
-    return Image(base64=b64.decode('utf-8'))
-
-
-def check_text(text: str) -> list:
-    """检查文本是否为长消息，并转换成该使用的消息链组件"""
-    if not hasattr(config, 'blob_message_threshold'):
-        return [text]
-    
-    if len(text) > config.blob_message_threshold:
-        if not hasattr(config, 'blob_message_strategy'):
-            raise AttributeError('未定义长消息处理策略')
-
-        # logging.info("长消息: {}".format(text))
-        if config.blob_message_strategy == 'image':
-            # 转换成图片
-            return [text_to_image(text)]
-        elif config.blob_message_strategy == 'forward':
-            # 敏感词屏蔽
-            text = context.get_qqbot_manager().reply_filter.process(text)
-
-            # 包装转发消息
-            display = ForwardMessageDiaplay(
-                title='群聊的聊天记录',
-                brief='[聊天记录]',
-                source='聊天记录',
-                preview=["bot: "+text],
-                summary="查看1条转发消息"
-            )
-
-            node = ForwardMessageNode(
-                sender_id=config.mirai_http_api_config['qq'],
-                sender_name='bot',
-                message_chain=MessageChain([text])
-            )
-
-            forward = Forward(
-                display=display,
-                node_list=[node]
-            )
-
-            return [forward]
-    else:
-        return [text]

pkg/qqbot/command.py

@@ -1,359 +0,0 @@
-# 指令处理模块
-import logging
-import json
-import datetime
-import os
-import threading
-
-import pkg.openai.session
-import pkg.openai.manager
-import pkg.utils.reloader
-import pkg.utils.updater
-import pkg.utils.context
-import pkg.qqbot.message
-import pkg.utils.credit as credit
-
-from mirai import Image
-
-
-def config_operation(cmd, params):
-    reply = []
-    config = pkg.utils.context.get_config()
-    reply_str = ""
-    if len(params) == 0:
-        reply = ["[bot]err:请输入配置项"]
-    else:
-        cfg_name = params[0]
-        if cfg_name == 'all':
-            reply_str = "[bot]所有配置项:\n\n"
-            for cfg in dir(config):
-                if not cfg.startswith('__') and not cfg == 'logging':
-                    # 根据配置项类型进行格式化，如果是字典则转换为json并格式化
-                    if isinstance(getattr(config, cfg), str):
-                        reply_str += "{}: \"{}\"\n".format(cfg, getattr(config, cfg))
-                    elif isinstance(getattr(config, cfg), dict):
-                        # 不进行unicode转义，并格式化
-                        reply_str += "{}: {}\n".format(cfg,
-                                                       json.dumps(getattr(config, cfg),
-                                                                  ensure_ascii=False, indent=4))
-                    else:
-                        reply_str += "{}: {}\n".format(cfg, getattr(config, cfg))
-            reply = [reply_str]
-        elif cfg_name in dir(config):
-            if len(params) == 1:
-                # 按照配置项类型进行格式化
-                if isinstance(getattr(config, cfg_name), str):
-                    reply_str = "[bot]配置项{}: \"{}\"\n".format(cfg_name, getattr(config, cfg_name))
-                elif isinstance(getattr(config, cfg_name), dict):
-                    reply_str = "[bot]配置项{}: {}\n".format(cfg_name,
-                                                             json.dumps(getattr(config, cfg_name),
-                                                                        ensure_ascii=False, indent=4))
-                else:
-                    reply_str = "[bot]配置项{}: {}\n".format(cfg_name, getattr(config, cfg_name))
-                reply = [reply_str]
-            else:
-                cfg_value = " ".join(params[1:])
-                # 类型转换，如果是json则转换为字典
-                if cfg_value == 'true':
-                    cfg_value = True
-                elif cfg_value == 'false':
-                    cfg_value = False
-                elif cfg_value.isdigit():
-                    cfg_value = int(cfg_value)
-                elif cfg_value.startswith('{') and cfg_value.endswith('}'):
-                    cfg_value = json.loads(cfg_value)
-                else:
-                    try:
-                        cfg_value = float(cfg_value)
-                    except ValueError:
-                        pass
-
-                # 检查类型是否匹配
-                if isinstance(getattr(config, cfg_name), type(cfg_value)):
-                    setattr(config, cfg_name, cfg_value)
-                    pkg.utils.context.set_config(config)
-                    reply = ["[bot]配置项{}修改成功".format(cfg_name)]
-                else:
-                    reply = ["[bot]err:配置项{}类型不匹配".format(cfg_name)]
-
-        else:
-            reply = ["[bot]err:未找到配置项 {}".format(cfg_name)]
-
-    return reply
-
-
-def plugin_operation(cmd, params, is_admin):
-    reply = []
-
-    import pkg.plugin.host as plugin_host
-    import pkg.utils.updater as updater
-
-    plugin_list = plugin_host.__plugins__
-
-    if len(params) == 0:
-        reply_str = "[bot]所有插件({}):\n".format(len(plugin_host.__plugins__))
-        idx = 0
-        for key in plugin_host.iter_plugins_name():
-            plugin = plugin_list[key]
-            reply_str += "\n#{} {} {}\n{}\nv{}\n作者: {}\n"\
-                .format((idx+1), plugin['name'],
-                        "[已禁用]" if not plugin['enabled'] else "",
-                        plugin['description'],
-                        plugin['version'], plugin['author'])
-
-            if updater.is_repo("/".join(plugin['path'].split('/')[:-1])):
-                remote_url = updater.get_remote_url("/".join(plugin['path'].split('/')[:-1]))
-                if remote_url != "https://github.com/RockChinQ/QChatGPT" and remote_url != "https://gitee.com/RockChin/QChatGPT":
-                    reply_str += "源码: "+remote_url+"\n"
-
-            idx += 1
-
-        reply = [reply_str]
-    elif params[0] == 'update':
-        # 更新所有插件
-        if is_admin:
-            def closure():
-                import pkg.utils.context
-                updated = []
-                for key in plugin_list:
-                    plugin = plugin_list[key]
-                    if updater.is_repo("/".join(plugin['path'].split('/')[:-1])):
-                        success = updater.pull_latest("/".join(plugin['path'].split('/')[:-1]))
-                        if success:
-                            updated.append(plugin['name'])
-
-                # 检查是否有requirements.txt
-                pkg.utils.context.get_qqbot_manager().notify_admin("正在安装依赖...")
-                for key in plugin_list:
-                    plugin = plugin_list[key]
-                    if os.path.exists("/".join(plugin['path'].split('/')[:-1])+"/requirements.txt"):
-                        logging.info("{}检测到requirements.txt，安装依赖".format(plugin['name']))
-                        import pkg.utils.pkgmgr
-                        pkg.utils.pkgmgr.install_requirements("/".join(plugin['path'].split('/')[:-1])+"/requirements.txt")
-
-                        import main
-                        main.reset_logging()
-
-                pkg.utils.context.get_qqbot_manager().notify_admin("已更新插件: {}".format(", ".join(updated)))
-
-            threading.Thread(target=closure).start()
-            reply = ["[bot]正在更新所有插件，请勿重复发起..."]
-        else:
-            reply = ["[bot]err:权限不足"]
-    elif params[0].startswith("http"):
-        if is_admin:
-
-            def closure():
-                try:
-                    plugin_host.install_plugin(params[0])
-                    pkg.utils.context.get_qqbot_manager().notify_admin("插件安装成功，请发送 !reload 指令重载插件")
-                except Exception as e:
-                    logging.error("插件安装失败:{}".format(e))
-                    pkg.utils.context.get_qqbot_manager().notify_admin("插件安装失败:{}".format(e))
-
-            threading.Thread(target=closure, args=()).start()
-            reply = ["[bot]正在安装插件..."]
-        else:
-            reply = ["[bot]err:权限不足，请使用管理员账号私聊发起"]
-    return reply
-
-
-def process_command(session_name: str, text_message: str, mgr, config,
-                    launcher_type: str, launcher_id: int, sender_id: int, is_admin: bool) -> list:
-    reply = []
-    try:
-        logging.info(
-            "[{}]发起指令:{}".format(session_name, text_message[:min(20, len(text_message))] + (
-                "..." if len(text_message) > 20 else "")))
-
-        cmd = text_message[1:].strip().split(' ')[0]
-
-        params = text_message[1:].strip().split(' ')[1:]
-        if cmd == 'help':
-            reply = ["[bot]" + config.help_message]
-        elif cmd == 'reset':
-            if len(params) == 0:
-                pkg.openai.session.get_session(session_name).reset(explicit=True)
-                reply = ["[bot]会话已重置"]
-            else:
-                pkg.openai.session.get_session(session_name).reset(explicit=True, use_prompt=params[0])
-                reply = ["[bot]会话已重置，使用场景预设:{}".format(params[0])]
-        elif cmd == 'last':
-            result = pkg.openai.session.get_session(session_name).last_session()
-            if result is None:
-                reply = ["[bot]没有前一次的对话"]
-            else:
-                datetime_str = datetime.datetime.fromtimestamp(result.create_timestamp).strftime(
-                    '%Y-%m-%d %H:%M:%S')
-                reply = ["[bot]已切换到前一次的对话：\n创建时间:{}\n".format(datetime_str)]
-        elif cmd == 'next':
-            result = pkg.openai.session.get_session(session_name).next_session()
-            if result is None:
-                reply = ["[bot]没有后一次的对话"]
-            else:
-                datetime_str = datetime.datetime.fromtimestamp(result.create_timestamp).strftime(
-                    '%Y-%m-%d %H:%M:%S')
-                reply = ["[bot]已切换到后一次的对话：\n创建时间:{}\n".format(datetime_str)]
-        elif cmd == 'prompt':
-            msgs = ""
-            session:list = pkg.openai.session.get_session(session_name).prompt
-            for msg in session:
-                if len(params) != 0 and params[0] in ['-all', '-a']:
-                    msgs = msgs + "{}: {}\n\n".format(msg['role'], msg['content'])
-                elif len(msg['content']) > 30:
-                    msgs = msgs + "[{}]: {}...\n\n".format(msg['role'], msg['content'][:30])
-                else:
-                    msgs = msgs + "[{}]: {}\n\n".format(msg['role'], msg['content'])
-            reply = ["[bot]当前对话所有内容：\n{}".format(msgs)]
-        elif cmd == 'list':
-            pkg.openai.session.get_session(session_name).persistence()
-            page = 0
-
-            if len(params) > 0:
-                try:
-                    page = int(params[0])
-                except ValueError:
-                    pass
-
-            results = pkg.openai.session.get_session(session_name).list_history(page=page)
-            if len(results) == 0:
-                reply = ["[bot]第{}页没有历史会话".format(page)]
-            else:
-                reply_str = "[bot]历史会话 第{}页：\n".format(page)
-                current = -1
-                for i in range(len(results)):
-                    # 时间(使用create_timestamp转换) 序号 部分内容
-                    datetime_obj = datetime.datetime.fromtimestamp(results[i]['create_timestamp'])
-                    msg = ""
-                    try:
-                        msg = json.loads(results[i]['prompt'])
-                    except json.decoder.JSONDecodeError:
-                        msg = pkg.openai.session.reset_session_prompt(session_name, results[i]['prompt'])
-                        # 持久化
-                        pkg.openai.session.get_session(session_name).persistence()
-                    if len(msg) >= 2:
-                        reply_str += "#{} 创建:{} {}\n".format(i + page * 10,
-                                                               datetime_obj.strftime("%Y-%m-%d %H:%M:%S"),
-                                                               msg[1]['content'])
-                    else:
-                        reply_str += "#{} 创建:{} {}\n".format(i + page * 10,
-                                                               datetime_obj.strftime("%Y-%m-%d %H:%M:%S"),
-                                                               "无内容")
-                    if results[i]['create_timestamp'] == pkg.openai.session.get_session(
-                            session_name).create_timestamp:
-                        current = i + page * 10
-
-                reply_str += "\n以上信息倒序排列"
-                if current != -1:
-                    reply_str += ",当前会话是 #{}\n".format(current)
-                else:
-                    reply_str += ",当前处于全新会话或不在此页"
-
-                reply = [reply_str]
-        elif cmd == 'resend':
-            session = pkg.openai.session.get_session(session_name)
-            to_send = session.undo()
-
-            reply = pkg.qqbot.message.process_normal_message(to_send, mgr, config,
-                                                             launcher_type, launcher_id, sender_id)
-        elif cmd == 'usage':
-            reply_str = "[bot]各api-key使用情况:\n\n"
-
-            api_keys = pkg.utils.context.get_openai_manager().key_mgr.api_key
-            for key_name in api_keys:
-                text_length = pkg.utils.context.get_openai_manager().audit_mgr \
-                    .get_text_length_of_key(api_keys[key_name])
-                image_count = pkg.utils.context.get_openai_manager().audit_mgr \
-                    .get_image_count_of_key(api_keys[key_name])
-                reply_str += "{}:\n - 文本长度:{}\n - 图片数量:{}\n".format(key_name, int(text_length),
-                                                                            int(image_count))
-                # 获取此key的额度
-                try:
-                    credit_data = credit.fetch_credit_data(api_keys[key_name])
-                    reply_str += " - 使用额度:{:.2f}/{:.2f}\n".format(credit_data['total_used'],credit_data['total_granted'])
-                except Exception as e:
-                    logging.warning("获取额度失败:{}".format(e))
-
-            reply = [reply_str]
-        elif cmd == 'draw':
-            if len(params) == 0:
-                reply = ["[bot]err:请输入图片描述文字"]
-            else:
-                session = pkg.openai.session.get_session(session_name)
-
-                res = session.draw_image(" ".join(params))
-
-                logging.debug("draw_image result:{}".format(res))
-                reply = [Image(url=res['data'][0]['url'])]
-                if not (hasattr(config, 'include_image_description')
-                        and not config.include_image_description):
-                    reply.append(" ".join(params))
-        elif cmd == 'version':
-            reply_str = "[bot]当前版本:\n{}\n".format(pkg.utils.updater.get_current_version_info())
-            try:
-                if pkg.utils.updater.is_new_version_available():
-                    reply_str += "\n有新版本可用，请使用命令 !update 进行更新"
-            except:
-                pass
-
-            reply = [reply_str]
-
-        elif cmd == 'plugin':
-            reply = plugin_operation(cmd, params, is_admin)
-
-        elif cmd == 'default':
-            if len(params) == 0:
-                # 输出目前所有情景预设
-                import pkg.openai.dprompt as dprompt
-                reply_str = "[bot]当前所有情景预设:\n\n"
-                for key,value in dprompt.get_prompt_dict().items():
-                    reply_str += "  - {}: {}\n".format(key,value)
-
-                reply_str += "\n当前默认情景预设:{}\n".format(dprompt.get_current())
-                reply_str += "请使用!default <情景预设>来设置默认情景预设"
-                reply = [reply_str]
-            elif len(params) >0  and is_admin:
-                # 设置默认情景
-                import pkg.openai.dprompt as dprompt
-                try:
-                    dprompt.set_current(params[0])
-                    reply = ["[bot]已设置默认情景预设为:{}".format(dprompt.get_current())]
-                except KeyError:
-                    reply = ["[bot]err: 未找到情景预设:{}".format(params[0])]
-            else:
-                reply = ["[bot]err: 仅管理员可设置默认情景预设"]
-        elif cmd == 'reload' and is_admin:
-            def reload_task():
-                pkg.utils.reloader.reload_all()
-
-            threading.Thread(target=reload_task, daemon=True).start()
-        elif cmd == 'update' and is_admin:
-            def update_task():
-                try:
-                    if pkg.utils.updater.update_all():
-                        pkg.utils.reloader.reload_all(notify=False)
-                        pkg.utils.context.get_qqbot_manager().notify_admin("更新完成")
-                    else:
-                        pkg.utils.context.get_qqbot_manager().notify_admin("无新版本")
-                except Exception as e0:
-                    pkg.utils.context.get_qqbot_manager().notify_admin("更新失败:{}".format(e0))
-                    return
-
-            threading.Thread(target=update_task, daemon=True).start()
-
-            reply = ["[bot]正在更新，请耐心等待，请勿重复发起更新..."]
-        elif cmd == 'cfg' and is_admin:
-            reply = config_operation(cmd, params)
-        else:
-            if cmd.startswith("~") and is_admin:
-                config_item = cmd[1:]
-                params = [config_item] + params
-                reply = config_operation("cfg", params)
-            else:
-                reply = ["[bot]err:未知的指令或权限不足: " + cmd]
-    except Exception as e:
-        mgr.notify_admin("{}指令执行失败:{}".format(session_name, e))
-        logging.exception(e)
-        reply = ["[bot]err:{}".format(e)]
-
-    return reply

pkg/qqbot/filter.py

@@ -1,84 +0,0 @@
-# 敏感词过滤模块
-import re
-import requests
-import json
-import logging
-
-
-class ReplyFilter:
-    sensitive_words = []
-    mask = "*"
-    mask_word = ""
-
-    # 默认值( 兼容性考虑 )
-    baidu_check = False
-    baidu_api_key = ""
-    baidu_secret_key = ""
-    inappropriate_message_tips = "[百度云]请珍惜机器人，当前返回内容不合规"
-
-    def __init__(self, sensitive_words: list, mask: str = "*", mask_word: str = ""):
-        self.sensitive_words = sensitive_words
-        self.mask = mask
-        self.mask_word = mask_word
-        import config
-        if hasattr(config, 'baidu_check') and hasattr(config, 'baidu_api_key') and hasattr(config, 'baidu_secret_key'):
-            self.baidu_check = config.baidu_check
-            self.baidu_api_key = config.baidu_api_key
-            self.baidu_secret_key = config.baidu_secret_key
-            self.inappropriate_message_tips = config.inappropriate_message_tips
-
-    def is_illegal(self, message: str) -> bool:
-        processed = self.process(message)
-        if processed != message:
-            return True
-        return False
-
-    def process(self, message: str) -> str:
-
-        # 本地关键词屏蔽
-        for word in self.sensitive_words:
-            match = re.findall(word, message)
-            if len(match) > 0:
-                for i in range(len(match)):
-                    if self.mask_word == "":
-                        message = message.replace(match[i], self.mask * len(match[i]))
-                    else:
-                        message = message.replace(match[i], self.mask_word)
-
-        # 百度云审核
-        if self.baidu_check:
-
-            # 百度云审核URL
-            baidu_url = "https://aip.baidubce.com/rest/2.0/solution/v1/text_censor/v2/user_defined?access_token=" + \
-                str(requests.post("https://aip.baidubce.com/oauth/2.0/token", 
-                      params={"grant_type": "client_credentials", 
-                              "client_id": self.baidu_api_key,
-                              "client_secret": self.baidu_secret_key}).json().get("access_token"))
-
-            # 百度云审核
-            payload = "text=" + message
-            logging.info("向百度云发送:" + payload)
-            headers = {'Content-Type': 'application/x-www-form-urlencoded', 'Accept': 'application/json'}
-
-            if isinstance(payload, str):
-                payload = payload.encode('utf-8')
-
-            response = requests.request("POST", baidu_url, headers=headers, data=payload)
-            response_dict = json.loads(response.text)
-
-            if "error_code" in response_dict:
-                error_msg = response_dict.get("error_msg")
-                logging.warning(f"百度云判定出错，错误信息：{error_msg}")
-                conclusion = f"百度云判定出错，错误信息：{error_msg}\n以下是原消息：{message}"
-            else:
-                conclusion = response_dict["conclusion"]
-                if conclusion in ("合规"):
-                    logging.info(f"百度云判定结果：{conclusion}")
-                    return message
-                else:
-                    logging.warning(f"百度云判定结果：{conclusion}")
-                    conclusion = self.inappropriate_message_tips
-            # 返回百度云审核结果
-            return conclusion
-        
-        return message

pkg/qqbot/ignore.py

@@ -1,19 +0,0 @@
-import re
-
-
-def ignore(msg: str) -> bool:
-    """检查消息是否应该被忽略"""
-    import config
-    
-    if not hasattr(config, 'ignore_rules'):
-        return False
-    
-    if 'prefix' in config.ignore_rules:
-        for rule in config.ignore_rules['prefix']:
-            if msg.startswith(rule):
-                return True
-
-    if 'regexp' in config.ignore_rules:
-        for rule in config.ignore_rules['regexp']:
-            if re.search(rule, msg):
-                return True

pkg/qqbot/manager.py

@@ -1,357 +0,0 @@
-import asyncio
-import json
-import os
-import threading
-from concurrent.futures import ThreadPoolExecutor
-
-import mirai.models.bus
-from mirai import At, GroupMessage, MessageEvent, Mirai, StrangerMessage, WebSocketAdapter, HTTPAdapter, \
-    FriendMessage, Image
-from func_timeout import func_set_timeout
-
-import pkg.openai.session
-import pkg.openai.manager
-from func_timeout import FunctionTimedOut
-import logging
-
-import pkg.qqbot.filter
-import pkg.qqbot.process as processor
-import pkg.utils.context
-
-import pkg.plugin.host as plugin_host
-import pkg.plugin.models as plugin_models
-
-
-# 检查消息是否符合泛响应匹配机制
-def check_response_rule(text: str):
-    config = pkg.utils.context.get_config()
-    if not hasattr(config, 'response_rules'):
-        return False, ''
-
-    rules = config.response_rules
-    # 检查前缀匹配
-    if 'prefix' in rules:
-        for rule in rules['prefix']:
-            if text.startswith(rule):
-                return True, text.replace(rule, "", 1)
-
-    # 检查正则表达式匹配
-    if 'regexp' in rules:
-        for rule in rules['regexp']:
-            import re
-            match = re.match(rule, text)
-            if match:
-                return True, text
-
-    return False, ""
-
-
-def response_at():
-    config = pkg.utils.context.get_config()
-    if 'at' not in config.response_rules:
-        return True
-
-    return config.response_rules['at']
-
-
-def random_responding():
-    config = pkg.utils.context.get_config()
-    if 'random_rate' in config.response_rules:
-        import random
-        return random.random() < config.response_rules['random_rate']
-    return False
-
-
-# 控制QQ消息输入输出的类
-class QQBotManager:
-    retry = 3
-
-    #线程池控制
-    pool = None
-
-    bot: Mirai = None
-
-    reply_filter = None
-
-    enable_banlist = False
-
-    ban_person = []
-    ban_group = []
-
-    def __init__(self, mirai_http_api_config: dict, timeout: int = 60, retry: int = 3, pool_num: int = 10, first_time_init=True):
-        self.timeout = timeout
-        self.retry = retry
-
-        self.pool_num = pool_num
-        self.pool = ThreadPoolExecutor(max_workers=self.pool_num)
-        logging.debug("Registered thread pool Size:{}".format(pool_num))
-
-        # 加载禁用列表
-        if os.path.exists("banlist.py"):
-            import banlist
-            self.enable_banlist = banlist.enable
-            self.ban_person = banlist.person
-            self.ban_group = banlist.group
-            logging.info("加载禁用列表: person: {}, group: {}".format(self.ban_person, self.ban_group))
-
-        config = pkg.utils.context.get_config()
-        if os.path.exists("sensitive.json") \
-                and config.sensitive_word_filter is not None \
-                and config.sensitive_word_filter:
-            with open("sensitive.json", "r", encoding="utf-8") as f:
-                sensitive_json = json.load(f)
-                self.reply_filter = pkg.qqbot.filter.ReplyFilter(
-                    sensitive_words=sensitive_json['words'],
-                    mask=sensitive_json['mask'] if 'mask' in sensitive_json else '*',
-                    mask_word=sensitive_json['mask_word'] if 'mask_word' in sensitive_json else ''
-                )
-        else:
-            self.reply_filter = pkg.qqbot.filter.ReplyFilter([])
-
-        # 由于YiriMirai的bot对象是单例的，且shutdown方法暂时无法使用
-        # 故只在第一次初始化时创建bot对象，重载之后使用原bot对象
-        # 因此，bot的配置不支持热重载
-        if first_time_init:
-            self.first_time_init(mirai_http_api_config)
-        else:
-            self.bot = pkg.utils.context.get_qqbot_manager().bot
-
-        pkg.utils.context.set_qqbot_manager(self)
-
-        # Caution: 注册新的事件处理器之后，请务必在unsubscribe_all中编写相应的取消订阅代码
-        @self.bot.on(FriendMessage)
-        async def on_friend_message(event: FriendMessage):
-
-            def friend_message_handler(event: FriendMessage):
-
-                # 触发事件
-                args = {
-                    "launcher_type": "person",
-                    "launcher_id": event.sender.id,
-                    "sender_id": event.sender.id,
-                    "message_chain": event.message_chain,
-                }
-                plugin_event = plugin_host.emit(plugin_models.PersonMessageReceived, **args)
-
-                if plugin_event.is_prevented_default():
-                    return
-
-                self.on_person_message(event)
-
-            self.go(friend_message_handler, event)
-
-        @self.bot.on(StrangerMessage)
-        async def on_stranger_message(event: StrangerMessage):
-
-            def stranger_message_handler(event: StrangerMessage):
-                # 触发事件
-                args = {
-                    "launcher_type": "person",
-                    "launcher_id": event.sender.id,
-                    "sender_id": event.sender.id,
-                    "message_chain": event.message_chain,
-                }
-                plugin_event = plugin_host.emit(plugin_models.PersonMessageReceived, **args)
-
-                if plugin_event.is_prevented_default():
-                    return
-
-                self.on_person_message(event)
-
-            self.go(stranger_message_handler, event)
-
-        @self.bot.on(GroupMessage)
-        async def on_group_message(event: GroupMessage):
-
-            def group_message_handler(event: GroupMessage):
-                # 触发事件
-                args = {
-                    "launcher_type": "group",
-                    "launcher_id": event.group.id,
-                    "sender_id": event.sender.id,
-                    "message_chain": event.message_chain,
-                }
-                plugin_event = plugin_host.emit(plugin_models.GroupMessageReceived, **args)
-
-                if plugin_event.is_prevented_default():
-                    return
-
-                self.on_group_message(event)
-
-            self.go(group_message_handler, event)
-
-        def unsubscribe_all():
-            """取消所有订阅
-
-            用于在热重载流程中卸载所有事件处理器
-            """
-            assert isinstance(self.bot, Mirai)
-            bus = self.bot.bus
-            assert isinstance(bus, mirai.models.bus.ModelEventBus)
-
-            bus.unsubscribe(FriendMessage, on_friend_message)
-            bus.unsubscribe(StrangerMessage, on_stranger_message)
-            bus.unsubscribe(GroupMessage, on_group_message)
-
-        self.unsubscribe_all = unsubscribe_all
-
-    def go(self, func, *args, **kwargs):
-        self.pool.submit(func, *args, **kwargs)
-
-    def first_time_init(self, mirai_http_api_config: dict):
-        """热重载后不再运行此函数"""
-
-        if 'adapter' not in mirai_http_api_config or mirai_http_api_config['adapter'] == "WebSocketAdapter":
-            bot = Mirai(
-                qq=mirai_http_api_config['qq'],
-                adapter=WebSocketAdapter(
-                    verify_key=mirai_http_api_config['verifyKey'],
-                    host=mirai_http_api_config['host'],
-                    port=mirai_http_api_config['port']
-                )
-            )
-        elif mirai_http_api_config['adapter'] == "HTTPAdapter":
-            bot = Mirai(
-                qq=mirai_http_api_config['qq'],
-                adapter=HTTPAdapter(
-                    verify_key=mirai_http_api_config['verifyKey'],
-                    host=mirai_http_api_config['host'],
-                    port=mirai_http_api_config['port']
-                )
-            )
-
-        else:
-            raise Exception("未知的适配器类型")
-
-        self.bot = bot
-
-    def send(self, event, msg, check_quote=True):
-        config = pkg.utils.context.get_config()
-        asyncio.run(
-            self.bot.send(event, msg, quote=True if hasattr(config,
-                                                            "quote_origin") and config.quote_origin and check_quote else False))
-
-    # 私聊消息处理
-    def on_person_message(self, event: MessageEvent):
-        import config
-        reply = ''
-
-        if event.sender.id == self.bot.qq:
-            pass
-        else:
-            if Image in event.message_chain:
-                pass
-            else:
-                # 超时则重试，重试超过次数则放弃
-                failed = 0
-                for i in range(self.retry):
-                    try:
-                        
-                        @func_set_timeout(config.process_message_timeout)
-                        def time_ctrl_wrapper():
-                            reply = processor.process_message('person', event.sender.id, str(event.message_chain),
-                                                            event.message_chain,
-                                                            event.sender.id)
-                            return reply
-                        
-                        reply = time_ctrl_wrapper()
-                        break
-                    except FunctionTimedOut:
-                        logging.warning("person_{}: 超时，重试中({})".format(event.sender.id, i))
-                        pkg.openai.session.get_session('person_{}'.format(event.sender.id)).release_response_lock()
-                        if "person_{}".format(event.sender.id) in pkg.qqbot.process.processing:
-                            pkg.qqbot.process.processing.remove('person_{}'.format(event.sender.id))
-                        failed += 1
-                        continue
-
-                if failed == self.retry:
-                    pkg.openai.session.get_session('person_{}'.format(event.sender.id)).release_response_lock()
-                    self.notify_admin("{} 请求超时".format("person_{}".format(event.sender.id)))
-                    reply = ["[bot]err:请求超时"]
-
-        if reply:
-            return self.send(event, reply, check_quote=False)
-
-    # 群消息处理
-    def on_group_message(self, event: GroupMessage):
-        import config
-        reply = ''
-
-        def process(text=None) -> str:
-            replys = ""
-            if At(self.bot.qq) in event.message_chain:
-                event.message_chain.remove(At(self.bot.qq))
-
-            # 超时则重试，重试超过次数则放弃
-            failed = 0
-            for i in range(self.retry):
-                try:
-                    @func_set_timeout(config.process_message_timeout)
-                    def time_ctrl_wrapper():
-                        replys = processor.process_message('group', event.group.id,
-                                                        str(event.message_chain).strip() if text is None else text,
-                                                        event.message_chain,
-                                                        event.sender.id)
-                        return replys
-                    
-                    replys = time_ctrl_wrapper()
-                    break
-                except FunctionTimedOut:
-                    logging.warning("group_{}: 超时，重试中({})".format(event.group.id, i))
-                    pkg.openai.session.get_session('group_{}'.format(event.group.id)).release_response_lock()
-                    if "group_{}".format(event.group.id) in pkg.qqbot.process.processing:
-                        pkg.qqbot.process.processing.remove('group_{}'.format(event.group.id))
-                    failed += 1
-                    continue
-
-            if failed == self.retry:
-                pkg.openai.session.get_session('group_{}'.format(event.group.id)).release_response_lock()
-                self.notify_admin("{} 请求超时".format("group_{}".format(event.group.id)))
-                replys = ["[bot]err:请求超时"]
-
-            return replys
-
-        if Image in event.message_chain:
-            pass
-        else:
-            if At(self.bot.qq) in event.message_chain and response_at():
-                # 直接调用
-                reply = process()
-            else:
-                check, result = check_response_rule(str(event.message_chain).strip())
-
-                if check:
-                    reply = process(result.strip())
-                # 检查是否随机响应
-                elif random_responding():
-                    logging.info("随机响应group_{}消息".format(event.group.id))
-                    reply = process()
-
-        if reply:
-            return self.send(event, reply)
-
-    # 通知系统管理员
-    def notify_admin(self, message: str):
-        config = pkg.utils.context.get_config()
-        if hasattr(config, "admin_qq") and config.admin_qq != 0 and config.admin_qq != []:
-            logging.info("通知管理员:{}".format(message))
-            if type(config.admin_qq) == int:
-                send_task = self.bot.send_friend_message(config.admin_qq, "[bot]{}".format(message))
-                threading.Thread(target=asyncio.run, args=(send_task,)).start()
-            else:
-                for adm in config.admin_qq:
-                    send_task = self.bot.send_friend_message(adm, "[bot]{}".format(message))
-                    threading.Thread(target=asyncio.run, args=(send_task,)).start()
-
-
-    def notify_admin_message_chain(self, message):
-        config = pkg.utils.context.get_config()
-        if hasattr(config, "admin_qq") and config.admin_qq != 0 and config.admin_qq != []:
-            logging.info("通知管理员:{}".format(message))
-            if type(config.admin_qq) == int:
-                send_task = self.bot.send_friend_message(config.admin_qq, message)
-                threading.Thread(target=asyncio.run, args=(send_task,)).start()
-            else:
-                for adm in config.admin_qq:
-                    send_task = self.bot.send_friend_message(adm, message)
-                    threading.Thread(target=asyncio.run, args=(send_task,)).start()

pkg/qqbot/message.py

@@ -1,130 +0,0 @@
-# 普通消息处理模块
-import logging
-import time
-import openai
-import pkg.utils.context
-import pkg.openai.session
-
-import pkg.plugin.host as plugin_host
-import pkg.plugin.models as plugin_models
-import pkg.qqbot.blob as blob
-
-
-def handle_exception(notify_admin: str = "", set_reply: str = "") -> list:
-    """处理异常，当notify_admin不为空时，会通知管理员，返回通知用户的消息"""
-    import config
-    pkg.utils.context.get_qqbot_manager().notify_admin(notify_admin)
-    if hasattr(config, 'hide_exce_info_to_user') and config.hide_exce_info_to_user:
-        if hasattr(config, 'alter_tip_message'):
-            return [config.alter_tip_message] if config.alter_tip_message else []
-        else:
-            return ["[bot]出错了，请重试或联系管理员"]
-    else:
-        return [set_reply]
-
-
-def process_normal_message(text_message: str, mgr, config, launcher_type: str,
-                           launcher_id: int, sender_id: int) -> list:
-    session_name = f"{launcher_type}_{launcher_id}"
-    logging.info("[{}]发送消息:{}".format(session_name, text_message[:min(20, len(text_message))] + (
-        "..." if len(text_message) > 20 else "")))
-
-    session = pkg.openai.session.get_session(session_name)
-
-    unexpected_exception_times = 0
-
-    max_unexpected_exception_times = 3
-
-    reply = []
-    while True:
-        if unexpected_exception_times >= max_unexpected_exception_times:
-            reply = handle_exception(notify_admin=f"{session_name}，多次尝试失败。", set_reply=f"[bot]多次尝试失败，请重试或联系管理员")
-            break
-        try:
-            prefix = "[GPT]" if hasattr(config, "show_prefix") and config.show_prefix else ""
-
-            text = session.append(text_message)
-
-            # 触发插件事件
-            args = {
-                "launcher_type": launcher_type,
-                "launcher_id": launcher_id,
-                "sender_id": sender_id,
-                "session": session,
-                "prefix": prefix,
-                "response_text": text
-            }
-
-            event = pkg.plugin.host.emit(plugin_models.NormalMessageResponded, **args)
-
-            if event.get_return_value("prefix") is not None:
-                prefix = event.get_return_value("prefix")
-
-            if event.get_return_value("reply") is not None:
-                reply = event.get_return_value("reply")
-
-            if not event.is_prevented_default():
-                reply = blob.check_text(prefix + text)
-        except openai.error.APIConnectionError as e:
-            err_msg = str(e)
-            if err_msg.__contains__('Error communicating with OpenAI'):
-                reply = handle_exception("{}会话调用API失败:{}\n请尝试关闭网络代理来解决此问题。".format(session_name, e),
-                                         "[bot]err:调用API失败，请重试或联系管理员，或等待修复")
-            else:
-                reply = handle_exception("{}会话调用API失败:{}".format(session_name, e), "[bot]err:调用API失败，请重试或联系管理员，或等待修复")
-        except openai.error.RateLimitError as e:
-            logging.debug(type(e))
-            logging.debug(e.error['message'])
-
-            if 'message' in e.error and e.error['message'].__contains__('You exceeded your current quota'):
-                # 尝试切换api-key
-                current_key_name = pkg.utils.context.get_openai_manager().key_mgr.get_key_name(
-                    pkg.utils.context.get_openai_manager().key_mgr.using_key
-                )
-                pkg.utils.context.get_openai_manager().key_mgr.set_current_exceeded()
-
-                # 触发插件事件
-                args = {
-                    'key_name': current_key_name,
-                    'usage': pkg.utils.context.get_openai_manager().audit_mgr
-                            .get_usage(pkg.utils.context.get_openai_manager().key_mgr.get_using_key_md5()),
-                    'exceeded_keys': pkg.utils.context.get_openai_manager().key_mgr.exceeded,
-                }
-                event = plugin_host.emit(plugin_models.KeyExceeded, **args)
-
-                if not event.is_prevented_default():
-                    switched, name = pkg.utils.context.get_openai_manager().key_mgr.auto_switch()
-
-                    if not switched:
-                        reply = handle_exception(
-                            "api-key调用额度超限({}),无可用api_key,请向OpenAI账户充值或在config.py中更换api_key；如果你认为这是误判，请尝试重启程序。".format(
-                                current_key_name), "[bot]err:API调用额度超额，请联系管理员，或等待修复")
-                    else:
-                        openai.api_key = pkg.utils.context.get_openai_manager().key_mgr.get_using_key()
-                        mgr.notify_admin("api-key调用额度超限({}),接口报错,已切换到{}".format(current_key_name, name))
-                        reply = ["[bot]err:API调用额度超额，已自动切换，请重新发送消息"]
-                        continue
-            elif 'message' in e.error and e.error['message'].__contains__('You can retry your request'):
-                # 重试
-                unexpected_exception_times += 1
-                continue
-            elif 'message' in e.error and e.error['message']\
-                    .__contains__('The server had an error while processing your request'):
-                # 重试
-                unexpected_exception_times += 1
-                continue
-            else:
-                reply = handle_exception("{}会话调用API失败:{}".format(session_name, e),
-                                         "[bot]err:RateLimitError,请重试或联系作者，或等待修复")
-        except openai.error.InvalidRequestError as e:
-            reply = handle_exception("{}API调用参数错误:{}\n\n这可能是由于config.py中的prompt_submit_length参数或"
-                             "completion_api_params中的max_tokens参数数值过大导致的，请尝试将其降低".format(
-                             session_name, e), "[bot]err:API调用参数错误，请联系管理员，或等待修复")
-        except openai.error.ServiceUnavailableError as e:
-            reply = handle_exception("{}API调用服务不可用:{}".format(session_name, e), "[bot]err:API调用服务不可用，请重试或联系管理员，或等待修复")
-        except Exception as e:
-            logging.exception(e)
-            reply = handle_exception("{}会话处理异常:{}".format(session_name, e), "[bot]err:{}".format(e))
-        break
-
-    return reply

pkg/qqbot/process.py

@@ -1,168 +0,0 @@
-# 此模块提供了消息处理的具体逻辑的接口
-import asyncio
-import time
-
-import mirai
-import logging
-
-from mirai import MessageChain, Plain
-
-# 这里不使用动态引入config
-# 因为在这里动态引入会卡死程序
-# 而此模块静态引用config与动态引入的表现一致
-# 已弃用，由于超时时间现已动态使用
-# import config as config_init_import
-
-import pkg.openai.session
-import pkg.openai.manager
-import pkg.utils.reloader
-import pkg.utils.updater
-import pkg.utils.context
-import pkg.qqbot.message
-import pkg.qqbot.command
-import pkg.qqbot.ratelimit as ratelimit
-
-import pkg.plugin.host as plugin_host
-import pkg.plugin.models as plugin_models
-import pkg.qqbot.ignore as ignore
-import pkg.qqbot.banlist as banlist
-
-processing = []
-
-
-def is_admin(qq: int) -> bool:
-    """兼容list和int类型的管理员判断"""
-    import config
-    if type(config.admin_qq) == list:
-        return qq in config.admin_qq
-    else:
-        return qq == config.admin_qq
-
-
-def process_message(launcher_type: str, launcher_id: int, text_message: str, message_chain: MessageChain,
-                    sender_id: int) -> MessageChain:
-    global processing
-
-    mgr = pkg.utils.context.get_qqbot_manager()
-
-    reply = []
-    session_name = "{}_{}".format(launcher_type, launcher_id)
-
-    # 检查发送方是否被禁用
-    if banlist.is_banned(launcher_type, launcher_id, sender_id):
-        logging.info("根据禁用列表忽略{}_{}的消息".format(launcher_type, launcher_id))
-        return []
-
-    if ignore.ignore(text_message):
-        logging.info("根据忽略规则忽略消息: {}".format(text_message))
-        return []
-
-    # 检查是否被禁言
-    if launcher_type == 'group':
-        result = mgr.bot.member_info(target=launcher_id, member_id=mgr.bot.qq).get()
-        result = asyncio.run(result)
-        if result.mute_time_remaining > 0:
-            logging.info("机器人被禁言,跳过消息处理(group_{},剩余{}s)".format(launcher_id,
-                                                                                result.mute_time_remaining))
-            return reply
-
-    import config
-    if hasattr(config, 'income_msg_check') and config.income_msg_check:
-        if mgr.reply_filter.is_illegal(text_message):
-            return MessageChain(Plain("[bot] 你的提问中有不合适的内容, 请更换措辞~"))
-
-    pkg.openai.session.get_session(session_name).acquire_response_lock()
-
-    text_message = text_message.strip()
-
-    # 处理消息
-    try:
-        if session_name in processing:
-            pkg.openai.session.get_session(session_name).release_response_lock()
-            return MessageChain([Plain("[bot]err:正在处理中，请稍后再试")])
-
-        config = pkg.utils.context.get_config()
-
-        processing.append(session_name)
-        try:
-            if text_message.startswith('!') or text_message.startswith("！"):  # 指令
-                # 触发插件事件
-                args = {
-                    'launcher_type': launcher_type,
-                    'launcher_id': launcher_id,
-                    'sender_id': sender_id,
-                    'command': text_message[1:].strip().split(' ')[0],
-                    'params': text_message[1:].strip().split(' ')[1:],
-                    'text_message': text_message,
-                    'is_admin': is_admin(sender_id),
-                }
-                event = plugin_host.emit(plugin_models.PersonCommandSent
-                                         if launcher_type == 'person'
-                                         else plugin_models.GroupCommandSent, **args)
-
-                if event.get_return_value("alter") is not None:
-                    text_message = event.get_return_value("alter")
-
-                # 取出插件提交的返回值赋值给reply
-                if event.get_return_value("reply") is not None:
-                    reply = event.get_return_value("reply")
-
-                if not event.is_prevented_default():
-                    reply = pkg.qqbot.command.process_command(session_name, text_message,
-                                                              mgr, config, launcher_type, launcher_id, sender_id, is_admin(sender_id))
-
-            else:  # 消息
-                # 限速丢弃检查
-                # print(ratelimit.__crt_minute_usage__[session_name])
-                if hasattr(config, "rate_limitation") and config.rate_limit_strategy == "drop":
-                    if ratelimit.is_reach_limit(session_name):
-                        logging.info("根据限速策略丢弃[{}]消息: {}".format(session_name, text_message))
-                        return MessageChain(["[bot]"+config.rate_limit_drop_tip]) if hasattr(config, "rate_limit_drop_tip") and config.rate_limit_drop_tip != "" else []
-
-                before = time.time()
-                # 触发插件事件
-                args = {
-                    "launcher_type": launcher_type,
-                    "launcher_id": launcher_id,
-                    "sender_id": sender_id,
-                    "text_message": text_message,
-                }
-                event = plugin_host.emit(plugin_models.PersonNormalMessageReceived
-                                         if launcher_type == 'person'
-                                         else plugin_models.GroupNormalMessageReceived, **args)
-
-                if event.get_return_value("alter") is not None:
-                    text_message = event.get_return_value("alter")
-
-                # 取出插件提交的返回值赋值给reply
-                if event.get_return_value("reply") is not None:
-                    reply = event.get_return_value("reply")
-
-                if not event.is_prevented_default():
-                    reply = pkg.qqbot.message.process_normal_message(text_message,
-                                                                     mgr, config, launcher_type, launcher_id, sender_id)
-
-                # 限速等待时间
-                if hasattr(config, "rate_limitation") and config.rate_limit_strategy == "wait":
-                    time.sleep(ratelimit.get_rest_wait_time(session_name, time.time() - before))
-                
-                if hasattr(config, "rate_limitation"):
-                    ratelimit.add_usage(session_name)
-
-            if reply is not None and len(reply) > 0 and (type(reply[0]) == str or type(reply[0]) == mirai.Plain):
-                if type(reply[0]) == mirai.Plain:
-                    reply[0] = reply[0].text
-                logging.info(
-                    "回复[{}]文字消息:{}".format(session_name,
-                                                 reply[0][:min(100, len(reply[0]))] + (
-                                                     "..." if len(reply[0]) > 100 else "")))
-                reply = [mgr.reply_filter.process(reply[0])]
-            else:
-                logging.info("回复[{}]消息".format(session_name))
-
-        finally:
-            processing.remove(session_name)
-    finally:
-        pkg.openai.session.get_session(session_name).release_response_lock()
-
-    return MessageChain(reply)

pkg/qqbot/ratelimit.py

@@ -1,86 +0,0 @@
-# 限速相关模块
-import time
-import logging
-import threading
-
-__crt_minute_usage__ = {}
-"""当前分钟每个会话的对话次数"""
-
-
-__timer_thr__: threading.Thread = None
-
-
-def add_usage(session_name: str):
-    """增加会话的对话次数"""
-    global __crt_minute_usage__
-    if session_name in __crt_minute_usage__:
-        __crt_minute_usage__[session_name] += 1
-    else:
-        __crt_minute_usage__[session_name] = 1
-
-
-def start_timer():
-    """启动定时器"""
-    global __timer_thr__
-    __timer_thr__ = threading.Thread(target=run_timer, daemon=True)
-    __timer_thr__.start()
-
-
-def run_timer():
-    """启动定时器，每分钟清空一次对话次数"""
-    global __crt_minute_usage__
-    global __timer_thr__
-    
-    # 等待直到整分钟
-    time.sleep(60 - time.time() % 60)
-
-    while True:
-        if __timer_thr__ != threading.current_thread():
-            break
-        
-        logging.debug("清空当前分钟的对话次数")
-        __crt_minute_usage__ = {}
-        time.sleep(60)
-
-
-def get_usage(session_name: str) -> int:
-    """获取会话的对话次数"""
-    global __crt_minute_usage__
-    if session_name in __crt_minute_usage__:
-        return __crt_minute_usage__[session_name]
-    else:
-        return 0
-
-
-def get_rest_wait_time(session_name: str, spent: float) -> float:
-    """获取会话此回合的剩余等待时间"""
-    global __crt_minute_usage__
-
-    import config
-
-    if not hasattr(config, 'rate_limitation'):
-        return 0
-
-    min_seconds_per_round = 60.0 / config.rate_limitation
-
-    if session_name in __crt_minute_usage__:
-        return max(0, min_seconds_per_round - spent)
-    else:
-        return 0
-
-
-def is_reach_limit(session_name: str) -> bool:
-    """判断会话是否超过限制"""
-    global __crt_minute_usage__
-
-    import config
-
-    if not hasattr(config, 'rate_limitation'):
-        return False
-
-    if session_name in __crt_minute_usage__:
-        return __crt_minute_usage__[session_name] >= config.rate_limitation
-    else:
-        return False
-
-start_timer()

pkg/utils/context.py

@@ -1,50 +0,0 @@
-context = {
-    'inst': {
-        'database.manager.DatabaseManager': None,
-        'openai.manager.OpenAIInteract': None,
-        'qqbot.manager.QQBotManager': None,
-    },
-    'logger_handler': None,
-    'config': None,
-    'plugin_host': None,
-}
-
-
-def set_config(inst):
-    context['config'] = inst
-
-
-def get_config():
-    return context['config']
-
-
-def set_database_manager(inst):
-    context['inst']['database.manager.DatabaseManager'] = inst
-
-
-def get_database_manager():
-    return context['inst']['database.manager.DatabaseManager']
-
-
-def set_openai_manager(inst):
-    context['inst']['openai.manager.OpenAIInteract'] = inst
-
-
-def get_openai_manager():
-    return context['inst']['openai.manager.OpenAIInteract']
-
-
-def set_qqbot_manager(inst):
-    context['inst']['qqbot.manager.QQBotManager'] = inst
-
-
-def get_qqbot_manager():
-    return context['inst']['qqbot.manager.QQBotManager']
-
-
-def set_plugin_host(inst):
-    context['plugin_host'] = inst
-
-
-def get_plugin_host():
-    return context['plugin_host']

pkg/utils/credit.py

@@ -1,13 +0,0 @@
-# OpenAI账号免费额度剩余查询
-import requests
-
-
-def fetch_credit_data(api_key: str) -> dict:
-    """OpenAI账号免费额度剩余查询"""
-    resp = requests.get(
-        url="https://api.openai.com/dashboard/billing/credit_grants",
-        headers={
-            "Authorization": "Bearer {}".format(api_key),
-        }
-    )
-    return resp.json()

pkg/utils/pkgmgr.py

@@ -1,40 +0,0 @@
-from pip._internal import main as pipmain
-
-import main
-
-
-def install(package):
-    pipmain(['install', package])
-    main.reset_logging()
-
-
-def run_pip(params: list):
-    pipmain(params)
-    main.reset_logging()
-
-
-def install_requirements(file):
-    pipmain(['install', '-r', file, "--upgrade"])
-    main.reset_logging()
-
-
-def ensure_dulwich():
-    # 尝试三次
-    for i in range(3):
-        try:
-            import dulwich
-            return
-        except ImportError:
-            install('dulwich')
-
-    raise ImportError("无法自动安装dulwich库")
-
-
-if __name__ == "__main__":
-    try:
-        install("openai11")
-    except Exception as e:
-        print(111)
-        print(e)
-
-    print(222)

pkg/utils/reloader.py

@@ -1,50 +0,0 @@
-import logging
-import threading
-
-import importlib
-import pkgutil
-import pkg.utils.context
-import pkg.plugin.host
-
-
-def walk(module, prefix='', path_prefix=''):
-    """遍历并重载所有模块"""
-    for item in pkgutil.iter_modules(module.__path__):
-        if item.ispkg:
-
-            walk(__import__(module.__name__ + '.' + item.name, fromlist=['']), prefix + item.name + '.', path_prefix + item.name + '/')
-        else:
-            logging.info('reload module: {}, path: {}'.format(prefix + item.name, path_prefix + item.name + '.py'))
-            pkg.plugin.host.__current_module_path__ = "plugins/" + path_prefix + item.name + '.py'
-            importlib.reload(__import__(module.__name__ + '.' + item.name, fromlist=['']))
-
-
-def reload_all(notify=True):
-    # 解除bot的事件注册
-    import pkg
-    pkg.utils.context.get_qqbot_manager().unsubscribe_all()
-    # 执行关闭流程
-    logging.info("执行程序关闭流程")
-    import main
-    main.stop()
-
-    # 重载所有模块
-    pkg.utils.context.context['exceeded_keys'] = pkg.utils.context.get_openai_manager().key_mgr.exceeded
-    context = pkg.utils.context.context
-    walk(pkg)
-    importlib.reload(__import__('config'))
-    importlib.reload(__import__('main'))
-    importlib.reload(__import__('banlist'))
-    pkg.utils.context.context = context
-
-    # 重载插件
-    import plugins
-    walk(plugins)
-
-    # 执行启动流程
-    logging.info("执行程序启动流程")
-    threading.Thread(target=main.main, args=(False,), daemon=False).start()
-
-    logging.info('程序启动完成')
-    if notify:
-        pkg.utils.context.get_qqbot_manager().notify_admin("重载完成")

pkg/utils/text2img.py

@@ -1,193 +0,0 @@
-import logging
-
-from PIL import Image, ImageDraw, ImageFont
-import re
-import os
-import config
-import traceback
-
-text_render_font: ImageFont = None
-
-if hasattr(config, "blob_message_strategy") and config.blob_message_strategy == "image":  # 仅在启用了image时才加载字体
-    use_font = config.font_path if hasattr(config, "font_path") else ""
-    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):
-                    logging.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:
-                    logging.info("使用Windows自带字体：" + use_font)
-                    text_render_font = ImageFont.truetype(use_font, 32, encoding="utf-8")
-            else:
-                logging.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:
-            text_render_font = ImageFont.truetype(use_font, 32, encoding="utf-8")
-    except:
-        traceback.print_exc()
-        logging.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))
-        config.blob_message_strategy = "forward"
-
-
-def indexNumber(path=''):
-    """
-    查找字符串中数字所在串中的位置
-    :param path:目标字符串
-    :return:<class 'list'>: <class 'list'>: [['1', 16], ['2', 35], ['1', 51]]
-    """
-    kv = []
-    nums = []
-    beforeDatas = re.findall('[\d]+', path)
-    for num in beforeDatas:
-        indexV = []
-        times = path.count(num)
-        if times > 1:
-            if num not in nums:
-                indexs = re.finditer(num, path)
-                for index in indexs:
-                    iV = []
-                    i = index.span()[0]
-                    iV.append(num)
-                    iV.append(i)
-                    kv.append(iV)
-            nums.append(num)
-        else:
-            index = path.find(num)
-            indexV.append(num)
-            indexV.append(index)
-            kv.append(indexV)
-    # 根据数字位置排序
-    indexSort = []
-    resultIndex = []
-    for vi in kv:
-        indexSort.append(vi[1])
-    indexSort.sort()
-    for i in indexSort:
-        for v in kv:
-            if i == v[1]:
-                resultIndex.append(v)
-    return resultIndex
-
-
-def get_size(file):
-    # 获取文件大小:KB
-    size = os.path.getsize(file)
-    return size / 1024
-
-
-def get_outfile(infile, outfile):
-    if outfile:
-        return outfile
-    dir, suffix = os.path.splitext(infile)
-    outfile = '{}-out{}'.format(dir, suffix)
-    return outfile
-
-
-def compress_image(infile, outfile='', kb=100, step=20, quality=90):
-    """不改变图片尺寸压缩到指定大小
-    :param infile: 压缩源文件
-    :param outfile: 压缩文件保存地址
-    :param mb: 压缩目标,KB
-    :param step: 每次调整的压缩比率
-    :param quality: 初始压缩比率
-    :return: 压缩文件地址，压缩文件大小
-    """
-    o_size = get_size(infile)
-    if o_size <= kb:
-        return infile, o_size
-    outfile = get_outfile(infile, outfile)
-    while o_size > kb:
-        im = Image.open(infile)
-        im.save(outfile, quality=quality)
-        if quality - step < 0:
-            break
-        quality -= step
-        o_size = get_size(outfile)
-    return outfile, get_size(outfile)
-
-
-def text_to_image(text_str: str, save_as="temp.png", width=800):
-    global text_render_font
-
-    text_str = text_str.replace("\t", "    ")
-    
-    # 分行
-    lines = text_str.split('\n')
-
-    # 计算并分割
-    final_lines = []
-
-    text_width = width-80
-    for line in lines:
-        # 如果长了就分割
-        line_width = text_render_font.getlength(line)
-        if line_width < text_width:
-            final_lines.append(line)
-            continue
-        else:
-            rest_text = line
-            while True:
-                # 分割最前面的一行
-                point = int(len(rest_text) * (text_width / line_width))
-
-                # 检查断点是否在数字中间
-                numbers = indexNumber(rest_text)
-
-                for number in numbers:
-                    if number[1] < point < number[1] + len(number[0]) and number[1] != 0:
-                        point = number[1]
-                        break
-
-                final_lines.append(rest_text[:point])
-                rest_text = rest_text[point:]
-                line_width = text_render_font.getlength(rest_text)
-                if line_width < text_width:
-                    final_lines.append(rest_text)
-                    break
-                else:
-                    continue
-    # 准备画布
-    img = Image.new('RGBA', (width, max(280, len(final_lines) * 35 + 65)), (255, 255, 255, 255))
-    draw = ImageDraw.Draw(img, mode='RGBA')
-
-    
-    # 绘制正文
-    line_number = 0
-    offset_x = 20
-    offset_y = 30
-    for final_line in final_lines:
-        draw.text((offset_x, offset_y + 35 * line_number), final_line, fill=(0, 0, 0), font=text_render_font)
-        # 遍历此行,检查是否有emoji
-        idx_in_line = 0
-        for ch in final_line:
-            # if self.is_emoji(ch):
-            #     emoji_img_valid = ensure_emoji(hex(ord(ch))[2:])
-            #     if emoji_img_valid:  # emoji图像可用,绘制到指定位置
-            #         emoji_image = Image.open("emojis/{}.png".format(hex(ord(ch))[2:]), mode='r').convert('RGBA')
-            #         emoji_image = emoji_image.resize((32, 32))
-
-            #         x, y = emoji_image.size
-
-            #         final_emoji_img = Image.new('RGBA', emoji_image.size, (255, 255, 255))
-            #         final_emoji_img.paste(emoji_image, (0, 0, x, y), emoji_image)
-
-            #         img.paste(final_emoji_img, box=(int(offset_x + idx_in_line * 32), offset_y + 35 * line_number))
-
-            # 检查字符占位宽
-            char_code = ord(ch)
-            if char_code >= 127:
-                idx_in_line += 1
-            else:
-                idx_in_line += 0.5
-
-        line_number += 1
-
-    
-    img.save(save_as)
-
-    return save_as

pkg/utils/updater.py

@@ -1,245 +0,0 @@
-import datetime
-import logging
-import os.path
-
-import requests
-import json
-
-import pkg.utils.constants
-
-
-def check_dulwich_closure():
-    try:
-        import pkg.utils.pkgmgr
-        pkg.utils.pkgmgr.ensure_dulwich()
-    except:
-        pass
-
-    try:
-        import dulwich
-    except ModuleNotFoundError:
-        raise Exception("dulwich模块未安装,请查看 https://github.com/RockChinQ/QChatGPT/issues/77")
-
-
-def pull_latest(repo_path: str) -> bool:
-    """拉取最新代码"""
-    check_dulwich_closure()
-
-    from dulwich import porcelain
-
-    repo = porcelain.open_repo(repo_path)
-    porcelain.pull(repo)
-
-    return True
-
-
-def get_release_list() -> list:
-    """获取发行列表"""
-    rls_list_resp = requests.get(
-        url="https://api.github.com/repos/RockChinQ/QChatGPT/releases"
-    )
-
-    rls_list = rls_list_resp.json()
-
-    return rls_list
-
-
-def get_current_tag() -> str:
-    """获取当前tag"""
-    current_tag = pkg.utils.constants.semantic_version
-    if os.path.exists("current_tag"):
-        with open("current_tag", "r") as f:
-            current_tag = f.read()
-
-    return current_tag
-
-
-def update_all(cli: bool = False) -> bool:
-    """检查更新并下载源码"""
-    current_tag = get_current_tag()
-
-    rls_list = get_release_list()
-
-    latest_rls = {}
-    rls_notes = []
-    for rls in rls_list:
-        rls_notes.append(rls['name'])  # 使用发行名称作为note
-        if rls['tag_name'] == current_tag:
-            break
-
-        if latest_rls == {}:
-            latest_rls = rls
-    if not cli:
-        logging.info("更新日志: {}".format(rls_notes))
-    else:
-        print("更新日志: {}".format(rls_notes))
-
-    if latest_rls == {}:  # 没有新版本
-        return False
-
-    # 下载最新版本的zip到temp目录
-    if not cli:
-        logging.info("开始下载最新版本: {}".format(latest_rls['zipball_url']))
-    else:
-        print("开始下载最新版本: {}".format(latest_rls['zipball_url']))
-    zip_url = latest_rls['zipball_url']
-    zip_resp = requests.get(url=zip_url)
-    zip_data = zip_resp.content
-
-    # 检查temp/updater目录
-    if not os.path.exists("temp"):
-        os.mkdir("temp")
-    if not os.path.exists("temp/updater"):
-        os.mkdir("temp/updater")
-    with open("temp/updater/{}.zip".format(latest_rls['tag_name']), "wb") as f:
-        f.write(zip_data)
-
-    if not cli:
-        logging.info("下载最新版本完成: {}".format("temp/updater/{}.zip".format(latest_rls['tag_name'])))
-    else:
-        print("下载最新版本完成: {}".format("temp/updater/{}.zip".format(latest_rls['tag_name'])))
-
-    # 解压zip到temp/updater/<tag_name>/
-    import zipfile
-    # 检查目标文件夹
-    if os.path.exists("temp/updater/{}".format(latest_rls['tag_name'])):
-        import shutil
-        shutil.rmtree("temp/updater/{}".format(latest_rls['tag_name']))
-    os.mkdir("temp/updater/{}".format(latest_rls['tag_name']))
-    with zipfile.ZipFile("temp/updater/{}.zip".format(latest_rls['tag_name']), 'r') as zip_ref:
-        zip_ref.extractall("temp/updater/{}".format(latest_rls['tag_name']))
-
-    # 覆盖源码
-    source_root = ""
-    # 找到temp/updater/<tag_name>/中的第一个子目录路径
-    for root, dirs, files in os.walk("temp/updater/{}".format(latest_rls['tag_name'])):
-        if root != "temp/updater/{}".format(latest_rls['tag_name']):
-            source_root = root
-            break
-
-    # 覆盖源码
-    import shutil
-    for root, dirs, files in os.walk(source_root):
-        # 覆盖所有子文件子目录
-        for file in files:
-            src = os.path.join(root, file)
-            dst = src.replace(source_root, ".")
-            if os.path.exists(dst):
-                os.remove(dst)
-            shutil.copy(src, dst)
-
-    # 把current_tag写入文件
-    current_tag = latest_rls['tag_name']
-    with open("current_tag", "w") as f:
-        f.write(current_tag)
-
-    # 通知管理员
-    if not cli:
-        import pkg.utils.context
-        pkg.utils.context.get_qqbot_manager().notify_admin("已更新到最新版本: {}\n更新日志:\n{}\n新功能通常可以在config-template.py中看到，完整的更新日志请前往 https://github.com/RockChinQ/QChatGPT/releases 查看".format(current_tag, "\n".join(rls_notes)))
-    else:
-        print("已更新到最新版本: {}\n更新日志:\n{}\n新功能通常可以在config-template.py中看到，完整的更新日志请前往 https://github.com/RockChinQ/QChatGPT/releases 查看".format(current_tag, "\n".join(rls_notes)))
-    return True
-
-
-def is_repo(path: str) -> bool:
-    """检查是否是git仓库"""
-    check_dulwich_closure()
-
-    from dulwich import porcelain
-    try:
-        porcelain.open_repo(path)
-        return True
-    except:
-        return False
-
-
-def get_remote_url(repo_path: str) -> str:
-    """获取远程仓库地址"""
-    check_dulwich_closure()
-
-    from dulwich import porcelain
-    repo = porcelain.open_repo(repo_path)
-    return str(porcelain.get_remote_repo(repo, "origin")[1])
-
-
-def get_current_version_info() -> str:
-    """获取当前版本信息"""
-    rls_list = get_release_list()
-    current_tag = get_current_tag()
-    for rls in rls_list:
-        if rls['tag_name'] == current_tag:
-            return rls['name'] + "\n" + rls['body']
-    return "未知版本"
-
-
-def get_commit_id_and_time_and_msg() -> str:
-    """获取当前提交id和时间和提交信息"""
-    check_dulwich_closure()
-
-    from dulwich import porcelain
-
-    repo = porcelain.open_repo('.')
-
-    for entry in repo.get_walker():
-        tz = datetime.timezone(datetime.timedelta(hours=entry.commit.commit_timezone // 3600))
-        dt = datetime.datetime.fromtimestamp(entry.commit.commit_time, tz)
-        return str(entry.commit.id)[2:9] + " " + dt.strftime('%Y-%m-%d %H:%M:%S') + " [" + str(entry.commit.message, encoding="utf-8").strip()+"]"
-
-
-def get_current_commit_id() -> str:
-    """检查是否有新版本"""
-    check_dulwich_closure()
-
-    from dulwich import porcelain
-
-    repo = porcelain.open_repo('.')
-    current_commit_id = ""
-    for entry in repo.get_walker():
-        current_commit_id = str(entry.commit.id)[2:-1]
-        break
-
-    return current_commit_id
-
-
-def is_new_version_available() -> bool:
-    """检查是否有新版本"""
-    # 从github获取release列表
-    rls_list = get_release_list()
-    if rls_list is None:
-        return False
-
-    # 获取当前版本
-    current_tag = get_current_tag()
-
-    # 检查是否有新版本
-    for rls in rls_list:
-        if rls['tag_name'] == current_tag:
-            return False
-        else:
-            return True
-
-
-def get_rls_notes() -> list:
-    """获取更新日志"""
-    # 从github获取release列表
-    rls_list = get_release_list()
-    if rls_list is None:
-        return None
-
-    # 获取当前版本
-    current_tag = get_current_tag()
-
-    # 检查是否有新版本
-    rls_notes = []
-    for rls in rls_list:
-        if rls['tag_name'] == current_tag:
-            break
-
-        rls_notes.append(rls['name'])
-
-    return rls_notes
-
-
-if __name__ == "__main__":
-    update_all()

pyproject.toml

@@ -0,0 +1,224 @@
+[project]
+name = "langbot"
+version = "4.9.6"
+description = "Production-grade platform for building agentic IM bots"
+readme = "README.md"
+license-files = ["LICENSE"]
+requires-python = ">=3.11,<4.0"
+dependencies = [
+    "aiocqhttp>=1.4.4",
+    "aiofiles>=24.1.0",
+    "aiohttp>=3.13.4",
+    "aioshutil>=1.5",
+    "aiosqlite>=0.21.0",
+    "anthropic>=0.51.0",
+    "argon2-cffi>=23.1.0",
+    "async-lru>=2.0.5",
+    "certifi>=2025.4.26",
+    "colorlog~=6.6.0",
+    "cryptography>=46.0.7",
+    "dashscope>=1.25.10",
+    "dingtalk-stream>=0.24.0",
+    "discord-py>=2.5.2",
+    "pynacl>=1.5.0", # Required for Discord voice support
+    "gewechat-client>=0.1.5",
+    "lark-oapi>=1.4.15",
+    "mcp>=1.25.0",
+    "nakuru-project-idk>=0.0.2.1",
+    "ollama>=0.4.8",
+    "openai>1.0.0",
+    "pillow>=12.2.0",
+    "psutil>=7.0.0",
+    "pycryptodome>=3.22.0",
+    "pydantic>2.0",
+    "pyjwt>=2.10.1",
+    "python-telegram-bot>=22.0",
+    "pyyaml>=6.0.2",
+    "qq-botpy-rc>=1.2.1.6",
+    "quart>=0.20.0",
+    "quart-cors>=0.8.0",
+    "requests>=2.32.3",
+    "slack-sdk>=3.35.0",
+    "alembic>=1.15.0",
+    "sqlalchemy[asyncio]>=2.0.40",
+    "sqlmodel>=0.0.24",
+    "telegramify-markdown>=0.5.1",
+    "tiktoken>=0.9.0",
+    "urllib3>=2.4.0",
+    "websockets>=15.0.1",
+    "python-socks>=2.7.1", # dingtalk missing dependency
+    "pip>=25.1.1",
+    "ruff>=0.11.9",
+    "pre-commit>=4.2.0",
+    "uv>=0.11.6",
+    "mypy>=1.16.0",
+    "PyPDF2>=3.0.1",
+    "python-docx>=1.1.0",
+    "pandas>=2.2.2",
+    "chardet>=5.2.0",
+    "markdown>=3.6",
+    "beautifulsoup4>=4.12.3",
+    "ebooklib>=0.18",
+    "html2text>=2024.2.26",
+    "langchain>=0.2.0",
+    "langchain-core>=1.2.28",
+    "langsmith>=0.7.31",
+    "python-multipart>=0.0.26",
+    "Mako>=1.3.11",
+    "langchain-text-splitters>=1.1.2",
+    "chromadb>=1.0.0,<2.0.0",
+    "qdrant-client (>=1.15.1,<2.0.0)",
+    "pyseekdb==1.1.0.post3",
+    "langbot-plugin==0.3.8",
+    "asyncpg>=0.30.0",
+    "line-bot-sdk>=3.19.0",
+    "tboxsdk>=0.0.10",
+    "boto3>=1.35.0",
+    "pymilvus>=2.6.4",
+    "pgvector>=0.4.1",
+    "botocore>=1.42.39",
+    "litellm>=1.0.0",
+]
+keywords = [
+    "bot",
+    "agent",
+    "telegram",
+    "plugins",
+    "openai",
+    "instant-messaging",
+    "wechat",
+    "qq",
+    "dify",
+    "llm",
+    "chatgpt",
+    "deepseek",
+    "onebot",
+]
+classifiers = [
+    "Development Status :: 5 - Production/Stable",
+    "Framework :: AsyncIO",
+    "Framework :: Robot Framework",
+    "Framework :: Robot Framework :: Library",
+    "Operating System :: OS Independent",
+    "Programming Language :: Python :: 3",
+    "Topic :: Communications :: Chat",
+]
+
+[project.urls]
+Homepage = "https://langbot.app"
+Documentation = "https://docs.langbot.app"
+Repository = "https://github.com/langbot-app/LangBot"
+
+[project.scripts]
+langbot = "langbot.__main__:main"
+
+[build-system]
+requires = ["setuptools>=61.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/dist/**", "pkg/persistence/alembic/**"] }
+
+[dependency-groups]
+dev = [
+    "pre-commit>=4.2.0",
+    "pytest>=9.0.3",
+    "pytest-asyncio>=1.0.0",
+    "pytest-cov>=7.0.0",
+    "ruff>=0.11.9",
+]
+
+[tool.ruff]
+# Exclude a variety of commonly ignored directories.
+exclude = [
+    ".bzr",
+    ".direnv",
+    ".eggs",
+    ".git",
+    ".git-rewrite",
+    ".hg",
+    ".ipynb_checkpoints",
+    ".mypy_cache",
+    ".nox",
+    ".pants.d",
+    ".pyenv",
+    ".pytest_cache",
+    ".pytype",
+    ".ruff_cache",
+    ".svn",
+    ".tox",
+    ".venv",
+    ".vscode",
+    "__pypackages__",
+    "_build",
+    "buck-out",
+    "build",
+    "dist",
+    "node_modules",
+    "site-packages",
+    "venv",
+]
+
+line-length = 120
+indent-width = 4
+
+# Assume Python 3.12
+target-version = "py312"
+
+[tool.ruff.lint]
+# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`)  codes by default.
+select = ["E4", "E7", "E9", "F"]
+ignore = [
+    "E712", # Comparison to true should be 'if cond is true:' or 'if cond:' (E712)
+    "F402", # Import `loader` from line 8 shadowed by loop variable
+    "F403", # * used, unable to detect undefined names
+    "F405", # may be undefined, or defined from star imports
+    "E741", # Ambiguous variable name: `l`
+    "E722", # bare-except
+    "E721", # type-comparison
+    "F821", # undefined-all
+    "FURB113", # repeated-append
+    "FURB152", # math-constant
+    "UP007", # non-pep604-annotation
+    "UP032", # f-string
+    "UP045", # non-pep604-annotation-optional
+    "B005", # strip-with-multi-characters
+    "B006", # mutable-argument-default
+    "B007", # unused-loop-control-variable
+    "B026", # star-arg-unpacking-after-keyword-arg
+    "B903", # class-as-data-structure
+    "B904", # raise-without-from-inside-except
+    "B905", # zip-without-explicit-strict
+    "N806", # non-lowercase-variable-in-function
+    "N815", # mixed-case-variable-in-class-scope
+    "PT011", # pytest-raises-too-broad
+    "SIM102", # collapsible-if
+    "SIM103", # needless-bool
+    "SIM105", # suppressible-exception
+    "SIM107", # return-in-try-except-finally
+    "SIM108", # if-else-block-instead-of-if-exp
+    "SIM113", # enumerate-for-loop
+    "SIM117", # multiple-with-statements
+    "SIM210", # if-expr-with-true-false
+]
+
+# Allow fix for all enabled rules (when `--fix`) is provided.
+fixable = ["ALL"]
+unfixable = []
+
+# Allow unused variables when underscore-prefixed.
+dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
+
+[tool.ruff.format]
+# Like Black, use double quotes for strings.
+quote-style = "single"
+
+# Like Black, indent with spaces, rather than tabs.
+indent-style = "space"
+
+# Like Black, respect magic trailing commas.
+skip-magic-trailing-comma = false
+
+# Like Black, automatically detect the appropriate line ending.
+line-ending = "auto"
+

pytest.ini

@@ -0,0 +1,39 @@
+[pytest]
+# Test discovery patterns
+python_files = test_*.py
+python_classes = Test*
+python_functions = test_*
+
+# Test paths
+testpaths = tests
+
+# Asyncio configuration
+asyncio_mode = auto
+
+# Output options
+addopts =
+    -v
+    --strict-markers
+    --tb=short
+    --disable-warnings
+
+# Markers
+markers =
+    asyncio: mark test as async
+    unit: mark test as unit test
+    integration: mark test as integration test
+    slow: mark test as slow running
+
+# Coverage options (when using pytest-cov)
+[coverage:run]
+source = langbot
+omit =
+    */tests/*
+    */test_*.py
+    */__pycache__/*
+    */site-packages/*
+
+[coverage:report]
+precision = 2
+show_missing = True
+skip_covered = False

requirements.txt

@@ -1,9 +0,0 @@
-requests~=2.28.1
-openai~=0.27.0
-dulwich~=0.21.3
-colorlog~=6.6.0
-yiri-mirai~=0.2.6.1
-websockets~=10.4
-urllib3~=1.26.10
-func_timeout~=4.3.5
-Pillow

res/announcement.json

@@ -0,0 +1 @@
+[]

res/announcement_saved.json

@@ -0,0 +1 @@
+[]

res/instance_id.json

@@ -0,0 +1 @@
+{"host_id": "host_9b4a220d-3bb6-42fc-aec3-41188ce0a41c", "instance_id": "instance_61d8f262-b98a-4165-8e77-85fb6262529e", "instance_create_ts": 1736824678}

res/scripts/publish_announcement.py

@@ -0,0 +1,32 @@
+# 输出工作路径
+import os
+import time
+import json
+
+print('工作路径: ' + os.getcwd())
+announcement = input('请输入公告内容: ')
+
+# 读取现有的公告文件 res/announcement.json
+with open('res/announcement.json', 'r', encoding='utf-8') as f:
+    announcement_json = json.load(f)
+
+# 将公告内容写入公告文件
+
+# 当前自然时间
+now = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime())
+
+# 获取最后一个公告的id
+last_id = announcement_json[-1]['id'] if len(announcement_json) > 0 else -1
+
+announcement = {
+    'id': last_id + 1,
+    'time': now,
+    'timestamp': int(time.time()),
+    'content': announcement,
+}
+
+announcement_json.append(announcement)
+
+# 将公告写入公告文件
+with open('res/announcement.json', 'w', encoding='utf-8') as f:
+    json.dump(announcement_json, f, indent=4, ensure_ascii=False)