Add OSS and commercial workspace boundaries

* fix model runtime uuid after updates

* test: avoid local agent constructor coupling

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,5 +1,5 @@
 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://docs.langbot.app/zh/workshop/network-details.html  
+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:

.github/ISSUE_TEMPLATE/bug-report_en.yml

@@ -1,5 +1,5 @@
 name: Bug report
-description: Report bugs or vulnerabilities using this template. For container network connection issues, refer to the documentation https://docs.langbot.app/en/workshop/network-details.html
+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:

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

@@ -43,10 +43,10 @@ jobs:
         run: |
           cd /tmp/langbot_build_web/web
           npm install
-          npm run build
+          npx vite build
       - name: Package Output
         run: |
-          cp -r /tmp/langbot_build_web/web/out ./web
+          cp -r /tmp/langbot_build_web/web/dist ./web
       - name: Upload Artifact
         uses: actions/upload-artifact@v4
         with:

.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/publish-to-pypi.yml

@@ -29,8 +29,8 @@ jobs:
           npm install -g pnpm
           pnpm install
           pnpm build
-          mkdir -p ../src/langbot/web/out
-          cp -r out ../src/langbot/web/
+          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

.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

@@ -47,8 +47,12 @@ plugins.bak
 coverage.xml
 .coverage
 src/langbot/web/
+testsdk/
 
 # Build artifacts
 /dist
 /build
 *.egg-info
+
+# Next.js build cache (legacy)
+web/.next/

.pre-commit-config.yaml

@@ -9,16 +9,14 @@ repos:
       # Run the formatter of backend.
       - id: ruff-format
 
-  - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v3.1.0
-    hooks:
-      - id: prettier
-        types_or: [javascript, jsx, ts, tsx, css, scss]
-        additional_dependencies:
-          - prettier@3.1.0
-
   - repo: local
     hooks:
+      - id: 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

AGENTS.md

@@ -70,7 +70,7 @@ Plugin Runtime automatically starts each installed plugin and interacts through
     - 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.
-- If you changed the definition of database entities, please update the migration file in `src/langbot/pkg/persistence/migrations/` and update the constants.py file in `src/langbot/pkg/utils/constants.py` with the new migration number.
+- 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
 

Dockerfile

@@ -4,7 +4,7 @@ WORKDIR /app
 
 COPY web ./web
 
-RUN cd web && npm install && npm run build
+RUN cd web && npm install && npx vite build
 
 FROM python:3.12.7-slim
 
@@ -12,7 +12,7 @@ WORKDIR /app
 
 COPY . .
 
-COPY --from=node /app/web/out ./web/out
+COPY --from=node /app/web/dist ./web/dist
 
 RUN apt update \
     && apt install gcc -y \

README.md

@@ -19,9 +19,9 @@ English / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本
 [![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">Website</a> ｜
-<a href="https://docs.langbot.app/en/insight/features">Features</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide">Docs</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme">API</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>
@@ -45,7 +45,7 @@ LangBot is an **open-source, production-grade platform** for building AI-powered
 - **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.
 
-[→ Learn more about all features](https://docs.langbot.app/en/insight/features)
+[→ Learn more about all features](https://link.langbot.app/en/docs/features)
 
 ---
 
@@ -76,7 +76,7 @@ docker compose up -d
 [![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)
 
-**More options:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 
@@ -84,68 +84,72 @@ docker compose up -d
 
 | Platform | Status | Notes |
 |----------|--------|-------|
-| Discord | ✅ |  |
-| Telegram | ✅ |  |
-| Slack | ✅ |  |
-| LINE | ✅ |  |
-| QQ | ✅ | Personal & Official API |
+| Discord | ✅ | Official |
+| Telegram | ✅ | Official |
+| Slack | ✅ | Official |
+| LINE | ✅ | Official |
+| QQ | ✅ | Personal & Official API (Channel, DM, Group) |
 | WeCom | ✅ | Enterprise WeChat, External CS, AI Bot |
 | WeChat | ✅ | Personal & Official Account |
-| Lark | ✅ |  |
-| DingTalk | ✅ |  |
-| KOOK | ✅ |  |
+| Lark | ✅ | Official |
+| DingTalk | ✅ | Official |
+| KOOK | ✅ | Official |
 | Satori | ✅ |  |
+| Email | ✅ | Matrix, Satori |
+| Matrix | ✅ | Supports multiple bridged platforms such as Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip, and more |
 
 ---
 
 ## Supported LLMs & Integrations
 
-| 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 | ✅ |
+| 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      | ✅     |
+| [Qiniu](https://www.qiniu.com/ai/agent)                                                                           | Gateway      | ✅     |
 
-[→ View all integrations](https://docs.langbot.app/en/insight/features)
+[→ View all integrations](https://link.langbot.app/en/docs/features)
 
 ---
 
 ## Why LangBot?
 
-| 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 |
+| 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                                     |
 
 ---
 
 ## Live Demo
 
 **Try it now:** https://demo.langbot.dev/
+
 - Email: `demo@langbot.app`
 - Password: `langbot123456`
 
-*Note: Public demo environment. Do not enter sensitive information.*
+_Note: Public demo environment. Do not enter sensitive information._
 
 ---
 

README_CN.md

@@ -21,9 +21,9 @@
 [![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://docs.langbot.app/zh/insight/features.html">特性</a> ｜
-<a href="https://docs.langbot.app/zh/insight/guide.html">文档</a> ｜
-<a href="https://docs.langbot.app/zh/tags/readme.html">API</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>
@@ -34,8 +34,6 @@
 
 ---
 
-## 什么是 LangBot？
-
 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
@@ -43,11 +41,11 @@ LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时
 - **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，事件驱动架构，组件扩展，适配 [MCP 协议](https://modelcontextprotocol.io/)。
+- **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://docs.langbot.app/zh/insight/features.html)
+[→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
 
 ---
 
@@ -78,7 +76,7 @@ docker compose up -d
 [![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://docs.langbot.app/zh/deploy/langbot/docker.html) · [手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [宝塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 
@@ -89,13 +87,16 @@ docker compose up -d
 | 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 | ✅ |  |
+| 飞书 | ✅ | 官方 |
+| 钉钉 | ✅ | 官方 |
+| Satori | ✅ |  |
+| Discord | ✅ | 官方 |
+| Telegram | ✅ | 官方 |
+| Slack | ✅ | 官方 |
+| LINE | ✅ | 官方 |
+| KOOK | ✅ | 官方 |
+| Email | ✅ | 只 Matrix、Satori |
+| Matrix | ✅ | 支持多种桥接平台，如 Signal、WhatsApp、Messenger、iMessage、Mattermost、Google Chat、IRC、XMPP、Zulip 等 |
 
 ---
 
@@ -126,8 +127,9 @@ docker compose up -d
 | [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 | ✅ |
+| [七牛云Qiniu](https://www.qiniu.com/ai/agent) | 聚合平台 | ✅ |
 
-[→ 查看完整集成列表](https://docs.langbot.app/zh/insight/features.html)
+[→ 查看完整集成列表](https://link.langbot.app/zh/docs/features)
 
 ### TTS（语音合成）
 

README_ES.md

@@ -19,9 +19,9 @@
 [![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://docs.langbot.app/en/insight/features.html">Características</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide.html">Documentación</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme.html">API</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>
 
@@ -44,7 +44,7 @@ LangBot es una **plataforma de código abierto y grado de producción** para con
 - **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://docs.langbot.app/en/insight/features.html)
+[→ Conocer más sobre todas las funcionalidades](https://link.langbot.app/en/docs/features)
 
 ---
 
@@ -75,7 +75,7 @@ docker compose up -d
 [![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://docs.langbot.app/en/deploy/langbot/docker.html) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 
@@ -83,17 +83,19 @@ docker compose up -d
 
 | Plataforma | Estado | Notas |
 |----------|--------|-------|
-| Discord | ✅ |  |
-| Telegram | ✅ |  |
-| Slack | ✅ |  |
-| LINE | ✅ |  |
-| QQ | ✅ | Personal y API Oficial |
+| Discord | ✅ | Oficial |
+| Telegram | ✅ | Oficial |
+| Slack | ✅ | Oficial |
+| LINE | ✅ | Oficial |
+| QQ | ✅ | Personal y API Oficial (Canal, DM, Grupo) |
 | WeCom | ✅ | WeChat Empresarial, CS Externo, AI Bot |
 | WeChat | ✅ | Personal y Cuenta Oficial |
-| Lark | ✅ |  |
-| DingTalk | ✅ |  |
-| KOOK | ✅ |  |
+| Lark | ✅ | Oficial |
+| DingTalk | ✅ | Oficial |
+| KOOK | ✅ | Oficial |
 | Satori | ✅ |  |
+| Email | ✅ | Matrix, Satori |
+| Matrix | ✅ | Admite varias plataformas puenteadas como Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip y más |
 
 ---
 
@@ -122,8 +124,9 @@ docker compose up -d
 | [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 | ✅ |
+| [Qiniu](https://www.qiniu.com/ai/agent) | Pasarela | ✅ |
 
-[→ Ver todas las integraciones](https://docs.langbot.app/en/insight/features.html)
+[→ Ver todas las integraciones](https://link.langbot.app/en/docs/features)
 
 ---
 

README_FR.md

@@ -19,9 +19,9 @@
 [![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://docs.langbot.app/en/insight/features.html">Fonctionnalités</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide.html">Documentation</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme.html">API</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>
 
@@ -44,7 +44,7 @@ LangBot est une **plateforme open-source de niveau production** pour créer des
 - **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://docs.langbot.app/en/insight/features.html)
+[→ En savoir plus sur toutes les fonctionnalités](https://link.langbot.app/en/docs/features)
 
 ---
 
@@ -75,7 +75,7 @@ docker compose up -d
 [![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://docs.langbot.app/en/deploy/langbot/docker.html) · [Manuel](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 
@@ -83,17 +83,19 @@ docker compose up -d
 
 | Plateforme | Statut | Notes |
 |----------|--------|-------|
-| Discord | ✅ |  |
-| Telegram | ✅ |  |
-| Slack | ✅ |  |
-| LINE | ✅ |  |
-| QQ | ✅ | Personnel & API Officielle |
+| Discord | ✅ | Officiel |
+| Telegram | ✅ | Officiel |
+| Slack | ✅ | Officiel |
+| LINE | ✅ | Officiel |
+| QQ | ✅ | Personnel & API Officielle (Canal, DM, Groupe) |
 | WeCom | ✅ | WeChat Entreprise, CS Externe, AI Bot |
 | WeChat | ✅ | Personnel & Compte Officiel |
-| Lark | ✅ |  |
-| DingTalk | ✅ |  |
-| KOOK | ✅ |  |
+| Lark | ✅ | Officiel |
+| DingTalk | ✅ | Officiel |
+| KOOK | ✅ | Officiel |
 | Satori | ✅ |  |
+| Email | ✅ | Matrix, Satori |
+| Matrix | ✅ | Prend en charge plusieurs plateformes via ponts, comme Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip, etc. |
 
 ---
 
@@ -122,8 +124,9 @@ docker compose up -d
 | [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 | ✅ |
+| [Qiniu](https://www.qiniu.com/ai/agent) | Passerelle | ✅ |
 
-[→ Voir toutes les intégrations](https://docs.langbot.app/en/insight/features.html)
+[→ Voir toutes les intégrations](https://link.langbot.app/en/docs/features)
 
 ---
 

README_JP.md

@@ -19,9 +19,9 @@
 [![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://docs.langbot.app/ja/insight/features.html">機能</a> ｜
-<a href="https://docs.langbot.app/ja/insight/guide.html">ドキュメント</a> ｜
-<a href="https://docs.langbot.app/ja/tags/readme.html">API</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>
 
@@ -44,7 +44,7 @@ LangBot は、AI搭載のインスタントメッセージングボットを構
 - **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://docs.langbot.app/ja/insight/features.html)
+[→ すべての機能について詳しく見る](https://link.langbot.app/ja/docs/features)
 
 ---
 
@@ -75,7 +75,7 @@ docker compose up -d
 [![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://docs.langbot.app/en/deploy/langbot/docker.html) · [手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 
@@ -83,17 +83,19 @@ docker compose up -d
 
 | 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 |
+| Discord | ✅ | 公式 |
+| Telegram | ✅ | 公式 |
+| Slack | ✅ | 公式 |
+| LINE | ✅ | 公式 |
+| QQ | ✅ | 個人・公式API（チャンネル・DM・グループ） |
 | WeCom | ✅ | 企業WeChat、外部CS、AIボット |
-| WeChat | ✅ | 個人 & 公式アカウント |
-| Lark | ✅ |  |
-| DingTalk | ✅ |  |
-| KOOK | ✅ |  |
+| WeChat | ✅ | 個人・公式アカウント |
+| Lark | ✅ | 公式 |
+| DingTalk | ✅ | 公式 |
+| KOOK | ✅ | 公式 |
 | Satori | ✅ |  |
+| Email | ✅ | Matrix、Satori |
+| Matrix | ✅ | Signal、WhatsApp、Messenger、iMessage、Mattermost、Google Chat、IRC、XMPP、Zulip など複数のブリッジ先プラットフォームに対応 |
 
 ---
 
@@ -122,8 +124,9 @@ docker compose up -d
 | [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 | ✅ |
+| [Qiniu](https://www.qiniu.com/ai/agent) | ゲートウェイ | ✅ |
 
-[→ すべての統合を表示](https://docs.langbot.app/en/insight/features.html)
+[→ すべての統合を表示](https://link.langbot.app/en/docs/features)
 
 ---
 

README_KO.md

@@ -19,9 +19,9 @@
 [![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://docs.langbot.app/en/insight/features.html">기능</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide.html">문서</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme.html">API</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>
 
@@ -44,7 +44,7 @@ LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈
 - **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://docs.langbot.app/en/insight/features.html)
+[→ 모든 기능 자세히 보기](https://link.langbot.app/en/docs/features)
 
 ---
 
@@ -75,7 +75,7 @@ docker compose up -d
 [![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://docs.langbot.app/en/deploy/langbot/docker.html) · [수동 배포](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 
@@ -83,17 +83,19 @@ docker compose up -d
 
 | 플랫폼 | 상태 | 비고 |
 |--------|------|------|
-| Discord | ✅ |  |
-| Telegram | ✅ |  |
-| Slack | ✅ |  |
-| LINE | ✅ |  |
-| QQ | ✅ | 개인 및 공식 API |
+| Discord | ✅ | 공식 |
+| Telegram | ✅ | 공식 |
+| Slack | ✅ | 공식 |
+| LINE | ✅ | 공식 |
+| QQ | ✅ | 개인 및 공식 API (채널, DM, 그룹) |
 | WeCom | ✅ | 기업 WeChat, 외부 CS, AI Bot |
 | WeChat | ✅ | 개인 및 공식 계정 |
-| Lark | ✅ |  |
-| DingTalk | ✅ |  |
-| KOOK | ✅ |  |
+| Lark | ✅ | 공식 |
+| DingTalk | ✅ | 공식 |
+| KOOK | ✅ | 공식 |
 | Satori | ✅ |  |
+| Email | ✅ | Matrix, Satori |
+| Matrix | ✅ | Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip 등 여러 브리지 플랫폼 지원 |
 
 ---
 
@@ -122,8 +124,9 @@ docker compose up -d
 | [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 | ✅ |
+| [Qiniu](https://www.qiniu.com/ai/agent) | 게이트웨이 | ✅ |
 
-[→ 모든 통합 보기](https://docs.langbot.app/en/insight/features.html)
+[→ 모든 통합 보기](https://link.langbot.app/en/docs/features)
 
 ---
 

README_RU.md

@@ -19,9 +19,9 @@
 [![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://docs.langbot.app/en/insight/features.html">Возможности</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide.html">Документация</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme.html">API</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>
 
@@ -44,7 +44,7 @@ LangBot — это **платформа с открытым исходным к
 - **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://docs.langbot.app/en/insight/features.html)
+[→ Подробнее обо всех возможностях](https://link.langbot.app/en/docs/features)
 
 ---
 
@@ -75,7 +75,7 @@ docker compose up -d
 [![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://docs.langbot.app/en/deploy/langbot/docker.html) · [Ручная установка](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 
@@ -83,17 +83,19 @@ docker compose up -d
 
 | Платформа | Статус | Примечания |
 |-----------|--------|------------|
-| Discord | ✅ |  |
-| Telegram | ✅ |  |
-| Slack | ✅ |  |
-| LINE | ✅ |  |
-| QQ | ✅ | Личный и официальный API |
+| Discord | ✅ | Официальный |
+| Telegram | ✅ | Официальный |
+| Slack | ✅ | Официальный |
+| LINE | ✅ | Официальный |
+| QQ | ✅ | Личный и официальный API (Канал, ЛС, Группа) |
 | WeCom | ✅ | Корпоративный WeChat, внешний CS, AI-бот |
 | WeChat | ✅ | Личный и официальный аккаунт |
-| Lark | ✅ |  |
-| DingTalk | ✅ |  |
-| KOOK | ✅ |  |
+| Lark | ✅ | Официальный |
+| DingTalk | ✅ | Официальный |
+| KOOK | ✅ | Официальный |
 | Satori | ✅ |  |
+| Email | ✅ | Matrix, Satori |
+| Matrix | ✅ | Поддерживает несколько платформ через мосты, включая Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip и другие |
 
 ---
 
@@ -122,8 +124,9 @@ docker compose up -d
 | [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 | ✅ |
+| [Qiniu](https://www.qiniu.com/ai/agent) | Шлюз | ✅ |
 
-[→ Смотреть все интеграции](https://docs.langbot.app/en/insight/features.html)
+[→ Смотреть все интеграции](https://link.langbot.app/en/docs/features)
 
 ---
 

README_TW.md

@@ -21,9 +21,9 @@
 [![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://docs.langbot.app/zh/insight/features.html">特性</a> ｜
-<a href="https://docs.langbot.app/zh/insight/guide.html">文件</a> ｜
-<a href="https://docs.langbot.app/zh/tags/readme.html">API</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>
 
@@ -46,7 +46,7 @@ LangBot 是一個**開源的生產級平台**，用於建構 AI 驅動的即時
 - **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://docs.langbot.app/zh/insight/features.html)
+[→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
 
 ---
 
@@ -77,7 +77,7 @@ docker compose up -d
 [![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://docs.langbot.app/zh/deploy/langbot/docker.html) · [手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [寶塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 
@@ -85,17 +85,19 @@ docker compose up -d
 
 | 平台 | 狀態 | 備註 |
 |------|------|------|
+| Discord | ✅ | 官方 |
+| Telegram | ✅ | 官方 |
+| Slack | ✅ | 官方 |
+| LINE | ✅ | 官方 |
 | 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 | ✅ |  |
+| 微信 | ✅ | 個人微信、微信公眾號 |
+| 飛書 | ✅ | 官方 |
+| 釘釘 | ✅ | 官方 |
+| KOOK | ✅ | 官方 |
 | Satori | ✅ |  |
+| Email | ✅ | 只 Matrix、Satori |
+| Matrix | ✅ | 支援多種橋接平台，如 Signal、WhatsApp、Messenger、iMessage、Mattermost、Google Chat、IRC、XMPP、Zulip 等 |
 
 ---
 
@@ -124,6 +126,7 @@ docker compose up -d
 | [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 | ✅ |
+| [Qiniu](https://www.qiniu.com/ai/agent) | 聚合平台 | ✅ |
 
 ### TTS（語音合成）
 
@@ -139,7 +142,7 @@ docker compose up -d
 |-----------|------|
 | 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin) |
 
-[→ 查看完整整合列表](https://docs.langbot.app/zh/insight/features.html)
+[→ 查看完整整合列表](https://link.langbot.app/zh/docs/features)
 
 ---
 

README_VI.md

@@ -19,9 +19,9 @@
 [![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://docs.langbot.app/en/insight/features.html">Tính năng</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide.html">Tài liệu</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme.html">API</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>
 
@@ -44,7 +44,7 @@ LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để x
 - **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://docs.langbot.app/en/insight/features.html)
+[→ Tìm hiểu thêm về tất cả tính năng](https://link.langbot.app/en/docs/features)
 
 ---
 
@@ -75,7 +75,7 @@ docker compose up -d
 [![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://docs.langbot.app/en/deploy/langbot/docker.html) · [Thủ công](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 
@@ -83,17 +83,19 @@ docker compose up -d
 
 | Nền tảng | Trạng thái | Ghi chú |
 |----------|--------|-------|
-| Discord | ✅ |  |
-| Telegram | ✅ |  |
-| Slack | ✅ |  |
-| LINE | ✅ |  |
-| QQ | ✅ | Cá nhân & API chính thức |
+| Discord | ✅ | Chính thức |
+| Telegram | ✅ | Chính thức |
+| Slack | ✅ | Chính thức |
+| LINE | ✅ | Chính thức |
+| QQ | ✅ | Cá nhân & API chính thức (Kênh, DM, Nhóm) |
 | WeCom | ✅ | WeChat doanh nghiệp, CS bên ngoài, AI Bot |
 | WeChat | ✅ | Cá nhân & Tài khoản công khai |
-| Lark | ✅ |  |
-| DingTalk | ✅ |  |
-| KOOK | ✅ |  |
+| Lark | ✅ | Chính thức |
+| DingTalk | ✅ | Chính thức |
+| KOOK | ✅ | Chính thức |
 | Satori | ✅ |  |
+| Email | ✅ | Matrix, Satori |
+| Matrix | ✅ | Hỗ trợ nhiều nền tảng qua bridge như Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip và hơn thế nữa |
 
 ---
 
@@ -122,8 +124,9 @@ docker compose up -d
 | [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 | ✅ |
+| [Qiniu](https://www.qiniu.com/ai/agent) | Cổng | ✅ |
 
-[→ Xem tất cả tích hợp](https://docs.langbot.app/en/insight/features.html)
+[→ Xem tất cả tích hợp](https://link.langbot.app/en/docs/features)
 
 ---
 

docker/README_K8S.md

@@ -312,7 +312,7 @@ spec:
 ### 参考资源
 
 - [LangBot 官方文档](https://docs.langbot.app)
-- [Docker 部署文档](https://docs.langbot.app/zh/deploy/langbot/docker.html)
+- [Docker 部署文档](https://link.langbot.app/zh/docs/docker)
 - [Kubernetes 官方文档](https://kubernetes.io/docs/)
 
 ---
@@ -625,5 +625,5 @@ spec:
 ### References
 
 - [LangBot Official Documentation](https://docs.langbot.app)
-- [Docker Deployment Guide](https://docs.langbot.app/zh/deploy/langbot/docker.html)
+- [Docker Deployment Guide](https://link.langbot.app/zh/docs/docker)
 - [Kubernetes Official Documentation](https://kubernetes.io/docs/)

docker/docker-compose.yaml

@@ -34,4 +34,4 @@ services:
 
 networks:
   langbot_network:
-    driver: bridge
+    driver: bridge

docs/multi-tenant/workspace-multi-user-architecture.md

@@ -0,0 +1,858 @@
+# LangBot 多租户与多用户改造方案
+
+## 目标
+
+本方案面向 LangBot 从“单实例单管理员”演进到 SaaS 友好的“多 workspace、多账户、多权限”架构。
+
+核心定义：
+
+- Account：登录主体。一个自然人或服务账号，可加入多个 workspace。
+- Workspace：租户边界。一个 workspace 内可拥有多个用户、机器人、流水线、模型、知识库、扩展、监控数据与 API Key。
+- Membership：账户与 workspace 的关系，承载角色与权限。
+- Role/Permission：workspace 内权限，不再用“是否是当前唯一用户”来决定访问能力。
+
+目标体验：
+
+- 新用户登录后可以创建 workspace、加入 workspace、切换 workspace。
+- 同一个账户可加入多个 workspace，每个 workspace 权限不同。
+- 一个 workspace 可邀请多个用户协作，并分别设置 owner/admin/editor/viewer 等权限。
+- 所有业务资源默认属于某个 workspace，所有 API 默认在当前 workspace 下工作。
+- Plugin SDK、MCP、知识库、模型调用、监控日志都能拿到稳定的 workspace 上下文，并且不跨租户泄露数据。
+
+## 调研结论
+
+### 当前 LangBot 的单用户假设
+
+LangBot 现在已经有 `users` 表和 JWT 登录，但仍是单用户/单租户模型：
+
+- `src/langbot/pkg/entity/persistence/user.py` 的 `User` 只保存 `user/password/account_type/space_*`，没有角色、状态、workspace 关系。
+- `src/langbot/pkg/api/http/service/user.py` 通过 `is_initialized()` 判断系统是否已有用户；`create_or_update_space_user()` 在系统已初始化且邮箱不匹配时拒绝新用户，这直接限制了多用户登录。
+- `src/langbot/pkg/api/http/controller/group.py` 的 `AuthType.USER_TOKEN` 验证后只向 handler 注入 `user_email`；JWT payload 也只有 `user`，没有 `account_id`、`workspace_id`、`role`、`permissions`。
+- `src/langbot/pkg/api/http/service/apikey.py` 的 API Key 只验证 key 是否存在，没有 owner、scope、workspace。
+- `web/src/app/infra/http/BaseHttpClient.ts` 从 `localStorage.token` 读取单个 token，并在所有请求上加 `Authorization`；前端没有 workspace selector，也没有当前 workspace 上下文。
+
+当前登录流程更像“初始化一个本地管理账号”，而不是 SaaS 账户体系。要支持多用户，必须把“初始化状态”和“首个 workspace 创建”拆开。
+
+### 业务资源当前都是全局资源
+
+主要持久化表没有租户字段：
+
+- Bot：`bots`
+- Pipeline：`legacy_pipelines`、`pipeline_run_records`
+- Model：`model_providers`、`llm_models`、`embedding_models`、`rerank_models`
+- Plugin：`plugin_settings`
+- MCP：`mcp_servers`
+- RAG：`knowledge_bases`、`knowledge_base_files`、`knowledge_base_chunks`
+- Monitoring：`monitoring_messages`、`monitoring_llm_calls`、`monitoring_sessions`、`monitoring_errors`、`monitoring_embedding_calls`、`monitoring_feedback`
+- API Key：`api_keys`
+- Webhook：`webhooks`
+- Metadata：`metadata`
+- Binary storage：`binary_storages`
+
+对应服务也直接 select 全表，例如：
+
+- `BotService.get_bots()` 返回所有 bot。
+- `PipelineService.get_pipelines()` 返回所有 pipeline。
+- `ModelProviderService.get_providers()` 返回所有 provider。
+- `MCPService.get_mcp_servers()` 返回所有 MCP server。
+- 插件和二进制存储没有 workspace 维度，插件 workspace storage 在 SDK 里还硬编码为 `default`。
+
+所以改造重点不是只给用户表加字段，而是给资源访问层统一加入 workspace scope。
+
+### 运行时也存在全局单例假设
+
+`src/langbot/pkg/core/stages/build_app.py` 初始化的是一个全局 `Application`，其中包含单例：
+
+- `platform_mgr`
+- `pipeline_mgr`
+- `model_mgr`
+- `tool_mgr`
+- `plugin_connector`
+- `sess_mgr`
+- `rag_mgr`
+- `vector_db_mgr`
+
+当前运行时把所有 bot、pipeline、model、plugin、MCP 都加载到同一套内存管理器。多租户改造需要决定：是共享运行时并在对象上带 workspace 过滤，还是每个 workspace 拆 runtime shard。第一阶段建议共享进程、强制 workspace-aware；等规模变大后再演进为按 workspace 分片。
+
+### Plugin SDK 对 workspace 的假设
+
+SDK 当前只认识 bot/pipeline/query/session，不认识租户：
+
+- `src/langbot_plugin/api/entities/builtin/pipeline/query.py` 的 `Query` 有 `query_id/launcher_type/launcher_id/sender_id/bot_uuid/pipeline_uuid`，没有 `workspace_id/account_id`。
+- `src/langbot_plugin/api/entities/builtin/provider/session.py` 的 `Session` 只按 `launcher_type + launcher_id` 表达会话。
+- `src/langbot_plugin/api/proxies/langbot_api.py` 暴露 `get_bots/get_llm_models/invoke_llm/list_tools/vector_*` 等 Host API，都是全局语义。
+- `src/langbot_plugin/runtime/io/handlers/plugin.py` 的 `set_workspace_storage/get_workspace_storage` 把 `owner_type` 设为 `workspace`，但 `owner` 固定为 `default`。
+- LangBot 侧 `src/langbot/pkg/plugin/handler.py` 处理插件请求时，会把 `GET_BOTS`、`GET_LLM_MODELS`、`VECTOR_*` 等转到全局服务。
+
+这意味着多租户落地时，不能只在 Web API 层过滤；插件可以通过 Host API 访问全局资源，所以 SDK/Runtime 通信也必须传递 workspace context。
+
+## 开源版与商业版产品边界
+
+LangBot 是开源软件，但多 workspace 能力本质上是 SaaS 控制面能力。如果把完整多 workspace、成员协作、订阅权益和配额代码都放进开源仓库，只靠本地 feature flag 或本地 license check，无法有效避免第三方 fork 后自建 SaaS。因此建议采用 open-core 架构：开源版保留单 workspace 执行能力，账户、订阅、权益和多 workspace 协作能力放到 LangBot Space/Cloud Control Plane 和商业模块中。
+
+### 版本边界
+
+推荐拆成三层：
+
+- `LangBot Core OSS`：开源，自托管，默认只有一个隐式 `default workspace`。它可以在数据结构上兼容 workspace，但产品能力上不提供创建多个 workspace、切换 workspace、成员邀请、成员权限管理、审计和多租户配额。
+- `LangBot Space / Cloud Control Plane`：托管控制面，负责 account、workspace、membership、subscription、billing、entitlement、license token、workspace quota、marketplace 权益等能力。
+- `LangBot Commercial Module`：商业闭源或私有包，承载多 workspace、团队协作、RBAC、自定义角色、审计日志、SAML/SSO、企业私有化授权等能力。
+
+企业私有化版本可以采用 `LangBot Core + Commercial Module + License Token` 的形式交付。开源 Core 仍然可独立运行，但只能作为单 workspace 自托管产品，不提供 SaaS 多租户控制面。
+
+### OSS 中如何保留兼容但不开放多 workspace
+
+为了让后续商业版复用同一套资源隔离模型，OSS 代码里可以保留 `workspace_uuid` 相关字段和默认 workspace 迁移，但应限制为单 workspace：
+
+- 首次初始化时创建一个 `Default Workspace`。
+- 所有资源自动归属这个 default workspace。
+- 不暴露 `POST /api/v1/workspaces`。
+- 不暴露 workspace switcher。
+- 不暴露成员邀请和成员角色管理。
+- 不支持一个 account 加入多个 workspace。
+- 不支持 workspace 数量大于 1。
+- 前端不展示 workspace selector。
+- API 层如果收到非 default workspace 的 `X-Workspace-Id`，直接拒绝。
+
+也就是说，OSS 可以是 workspace-aware，但不是 multi-workspace-enabled。这样做的价值是：代码结构提前适配租户隔离，未来商业版不用重写所有资源模型；同时开源版用户无法直接通过 UI/API 获得 SaaS 型多租户能力。
+
+### 账户、订阅和权益抽到 Space
+
+账户和订阅体系建议从 LangBot Core 中抽出，交给 Space 控制面：
+
+```text
+LangBot Space
+  -> Account
+  -> Workspace
+  -> Membership
+  -> Subscription
+  -> Entitlement
+  -> License Token
+
+LangBot Core
+  -> Validate entitlement / license
+  -> Run bots, pipelines, plugins, MCP, RAG
+  -> Enforce local resource scope
+  -> Report usage
+```
+
+这样做有几个原因：
+
+- 账号体系如果完全在本地，第三方容易直接改库创建 workspace/membership。
+- 订阅、配额和商业权益如果完全在本地，容易绕过。
+- Space 可以统一处理 OAuth、组织、邀请、付款、发票、套餐、权益、Marketplace 分发权限。
+- LangBot Core 只作为执行面消费 Space 下发的 entitlement，减少商业规则暴露。
+
+### Entitlement 设计
+
+Space 向 LangBot Core 下发签名权益，可以是在线校验，也可以为企业版提供短期/长期离线 license token。
+
+示例：
+
+```json
+{
+  "edition": "oss",
+  "workspace_limit": 1,
+  "member_limit": 1,
+  "multi_workspace": false,
+  "rbac": false,
+  "audit_log": false,
+  "custom_roles": false,
+  "sso": false,
+  "commercial_use": false,
+  "expires_at": 1893456000
+}
+```
+
+OSS 默认权益：
+
+- `workspace_limit = 1`
+- `member_limit = 1`
+- `multi_workspace = false`
+- `rbac = false`
+- `audit_log = false`
+- `sso = false`
+
+Cloud/Pro/Enterprise 权益：
+
+- `workspace_limit > 1`
+- `member_limit > 1`
+- `multi_workspace = true`
+- `rbac = true`
+- 可按套餐打开 audit、custom roles、SSO、usage reporting、enterprise support 等能力。
+
+Core 执行面需要在关键入口强制校验 entitlement：
+
+- 创建 workspace。
+- 邀请成员。
+- 修改成员角色。
+- 切换 workspace。
+- 创建超过 quota 的资源。
+- 开启商业模块功能。
+
+### 商业模块边界
+
+以下能力不建议进入 OSS 仓库的完整实现：
+
+- 多 workspace 创建和切换。
+- Workspace 成员邀请。
+- Workspace RBAC 和自定义角色。
+- Workspace 审计日志。
+- Workspace 级用量和配额管理。
+- 订阅、账单、发票。
+- 企业 SSO/SAML/OIDC。
+- 在线/离线 license 管理。
+- 多租户 SaaS 运营控制台。
+
+OSS 仓库可以保留接口占位、默认 workspace 兼容和必要的数据隔离字段，但完整交互、管理 UI、权益校验器和多 workspace policy engine 应由 Space 或商业模块提供。
+
+### 防自建 SaaS 的现实边界
+
+技术上无法 100% 阻止别人 fork 开源代码后自行改造。更可靠的策略是组合：
+
+- 不把完整商业多 workspace 实现放进 OSS。
+- Space 控制面提供账号、订阅、权益、Marketplace 和官方托管能力。
+- 商业模块闭源或私有分发。
+- 使用商标、云服务条款和商业 license 限制“自称官方 LangBot SaaS”或未经授权商用托管。
+- 如果当前开源 license 对托管商用限制不足，需要单独评估 license 策略，必要时引入 open-core license 或新增商业附加条款。具体 license 调整需要法律评审。
+
+结论：多 workspace 的底层 schema 可以在 OSS 中以 default workspace 兼容方式铺路，但多 workspace 产品能力、账户订阅权益、协作管理和 SaaS 控制面应放到 Space/商业模块，不作为开源版可直接使用的能力。
+
+## 推荐总体架构
+
+采用“单实例多 workspace，资源行级隔离，运行时上下文隔离”的架构：
+
+```mermaid
+flowchart TD
+    A["Account"] --> B["WorkspaceMembership"]
+    B --> C["Workspace"]
+    C --> D["Bots"]
+    C --> E["Pipelines"]
+    C --> F["Models & Providers"]
+    C --> G["Knowledge Bases"]
+    C --> H["Extensions: Plugins / MCP"]
+    C --> I["API Keys & Webhooks"]
+    C --> J["Monitoring"]
+    D --> K["Runtime Query"]
+    E --> K
+    K --> L["Plugin Runtime"]
+    K --> M["MCP Runtime"]
+    L --> N["Workspace-scoped Host APIs"]
+```
+
+原则：
+
+- 账户全局唯一，workspace 是所有业务资源的归属边界。
+- 所有 HTTP handler 在进入业务服务前解析出 `RequestContext(account, workspace, membership, permissions)`。
+- 所有 service 方法显式接收 `ctx` 或 `workspace_id`，禁止在业务服务里无条件 select 全表。
+- 运行时对象的 key 从 `uuid` 扩展为 `(workspace_id, uuid)` 或使用全局唯一 uuid 但必须记录 workspace_id 并校验。
+- 插件/MCP/知识库/模型调用都按 query 所属 workspace 过滤可用资源。
+
+## 数据模型设计
+
+### Account
+
+替代现有 `users` 的语义，建议保留表名但升级字段，避免过大迁移：
+
+字段建议：
+
+- `id`
+- `uuid`
+- `email`
+- `password_hash`
+- `display_name`
+- `avatar_url`
+- `account_type`: `local | space`
+- `status`: `active | disabled | deleted`
+- `space_account_uuid`
+- `space_access_token`
+- `space_refresh_token`
+- `space_access_token_expires_at`
+- `space_api_key`
+- `created_at`
+- `updated_at`
+
+兼容策略：
+
+- 旧字段 `user` 迁移为 `email`，可以短期保留 alias。
+- 旧 `password` 迁移为 `password_hash`，也可先保持列名不变，service 层改命名。
+- JWT 中不要继续只放 email，应放 `sub=account_uuid`。
+
+### Workspace
+
+新增 `workspaces`：
+
+- `uuid`
+- `name`
+- `slug`
+- `avatar_url`
+- `type`: `personal | team`
+- `status`: `active | suspended | deleted`
+- `default_language`
+- `created_by_account_uuid`
+- `created_at`
+- `updated_at`
+
+每个账户首次登录时自动创建一个 personal workspace。旧单用户实例迁移时创建一个 `Default Workspace`。
+
+### WorkspaceMembership
+
+新增 `workspace_memberships`：
+
+- `workspace_uuid`
+- `account_uuid`
+- `role`: `owner | admin | developer | operator | viewer`
+- `status`: `active | invited | disabled`
+- `invited_by_account_uuid`
+- `joined_at`
+- `created_at`
+- `updated_at`
+
+唯一索引：
+
+- `(workspace_uuid, account_uuid)`
+
+### WorkspaceInvitation
+
+新增 `workspace_invitations`：
+
+- `uuid`
+- `workspace_uuid`
+- `email`
+- `role`
+- `token_hash`
+- `expires_at`
+- `accepted_at`
+- `created_by_account_uuid`
+- `created_at`
+
+用于邀请外部用户加入 workspace。Space OAuth 登录时可以根据 email 自动匹配未接受邀请。
+
+### Role 与 Permission
+
+先用固定角色，后续再做自定义角色。
+
+建议权限：
+
+- `workspace.manage`
+- `member.view`
+- `member.invite`
+- `member.update_role`
+- `member.remove`
+- `bot.view`
+- `bot.manage`
+- `pipeline.view`
+- `pipeline.manage`
+- `model.view`
+- `model.manage`
+- `knowledge.view`
+- `knowledge.manage`
+- `extension.view`
+- `extension.manage`
+- `monitoring.view`
+- `apikey.manage`
+- `webhook.manage`
+- `billing.view`
+- `billing.manage`
+
+角色映射：
+
+| Role | 说明 | 权限 |
+| --- | --- | --- |
+| owner | workspace 拥有者 | 全部权限；可转让 owner；不可被其他角色移除 |
+| admin | 管理员 | 除 owner 转让和删除 workspace 外的全部权限 |
+| developer | 构建者 | 管理 bot、pipeline、model、knowledge、extension、webhook，可看监控 |
+| operator | 运营者 | 查看和启停 bot、查看监控、查看配置，不可改密钥和删除资源 |
+| viewer | 只读成员 | 只读资源和监控 |
+
+### 业务资源加 workspace_uuid
+
+以下表需要新增 `workspace_uuid`：
+
+- `bots`
+- `legacy_pipelines`
+- `pipeline_run_records`
+- `model_providers`
+- `llm_models`
+- `embedding_models`
+- `rerank_models`
+- `plugin_settings`
+- `mcp_servers`
+- `knowledge_bases`
+- `knowledge_base_files`
+- `knowledge_base_chunks`
+- `monitoring_*`
+- `api_keys`
+- `webhooks`
+- `binary_storages`
+- `metadata`
+
+索引建议：
+
+- 所有资源表加 `(workspace_uuid, created_at)` 或 `(workspace_uuid, updated_at)`。
+- 资源唯一键从单列改为 workspace 复合唯一：
+  - `bots.uuid` 可保持全局唯一，但查询仍必须带 workspace。
+  - `plugin_settings` 主键从 `(plugin_author, plugin_name)` 改为 `(workspace_uuid, plugin_author, plugin_name)`。
+  - `mcp_servers.name` 如果未来要求唯一，必须是 `(workspace_uuid, name)`。
+  - `metadata.key` 改为 `(workspace_uuid, key)`，系统级 metadata 单独放 `system_metadata` 或使用 `workspace_uuid=NULL`。
+  - `binary_storages.unique_key` 建议改为 `workspace_uuid + owner_type + owner + key` 的 hash。
+
+### API Key
+
+API Key 必须归属于 workspace：
+
+- `workspace_uuid`
+- `created_by_account_uuid`
+- `scopes`
+- `expires_at`
+- `last_used_at`
+- `status`
+
+验证 API Key 后生成 `RequestContext`：
+
+- `account_uuid=None` 或 service account uuid
+- `workspace_uuid=key.workspace_uuid`
+- `permissions=key.scopes`
+
+这样 `/api/v1/platform/bots/<uuid>/send_message` 之类接口不会跨 workspace 操作 bot。
+
+## 后端改造方案
+
+### RequestContext
+
+新增统一上下文对象，例如：
+
+```python
+class RequestContext:
+    account_uuid: str | None
+    workspace_uuid: str
+    role: str | None
+    permissions: set[str]
+    auth_type: Literal["user_token", "api_key"]
+```
+
+改造 `RouterGroup.route()`：
+
+- `USER_TOKEN`：验证 JWT，读取 `account_uuid`，再从 header/query/cookie 中解析 current workspace。
+- `API_KEY`：验证 API Key，直接得到 workspace。
+- `USER_TOKEN_OR_API_KEY`：两者都返回同一种 `RequestContext`。
+- handler 参数从可选 `user_email` 升级为可选 `ctx`；兼容期同时支持 `user_email`。
+
+当前 workspace 传递方式：
+
+- 推荐 header：`X-Workspace-Id: <workspace_uuid>`
+- Web 前端同时把当前 workspace 存在 localStorage。
+- 如果未传，后端用账户最近使用 workspace 或第一个 active membership。
+
+JWT payload：
+
+```json
+{
+  "sub": "account_uuid",
+  "email": "user@example.com",
+  "iss": "LangBot-...",
+  "exp": 1234567890
+}
+```
+
+不要把 workspace 写死在 JWT 里，否则切换 workspace 需要刷新 token。可以额外支持短 TTL workspace token，但第一阶段不必。
+
+### 服务层改造模式
+
+所有 service 方法增加 `ctx` 或 `workspace_uuid`：
+
+```python
+async def get_bots(self, ctx: RequestContext, include_secret: bool = True):
+    require(ctx, "bot.view")
+    query = sqlalchemy.select(Bot).where(Bot.workspace_uuid == ctx.workspace_uuid)
+```
+
+需要改造的服务：
+
+- `UserService`：拆成 AccountService + WorkspaceService 更清晰。
+- `ApiKeyService`：按 workspace 管理 key。
+- `BotService`：所有 bot 查询/创建/更新/删除按 workspace。
+- `PipelineService`：所有 pipeline 查询/默认 pipeline 按 workspace。
+- `ModelProviderService` 和 model services：按 workspace 隔离 provider 和 model。
+- `MCPService`：按 workspace 管理 MCP server，运行时按 workspace host。
+- `KnowledgeService/RAGRuntimeService`：按 workspace 管理 KB、文件、collection。
+- `MonitoringService`：记录和查询都带 workspace。
+- `WebhookService`：按 workspace 管理 webhook。
+- `PluginRuntimeConnector`：插件安装、设置、配置按 workspace。
+
+### HTTP API 形态
+
+保留现有路径，靠 `X-Workspace-Id` 表示当前 workspace，可减少前端和 SDK 破坏：
+
+- `GET /api/v1/workspaces`
+- `POST /api/v1/workspaces`
+- `GET /api/v1/workspaces/current`
+- `PUT /api/v1/workspaces/current`
+- `GET /api/v1/workspaces/<workspace_uuid>/members`
+- `POST /api/v1/workspaces/<workspace_uuid>/invitations`
+- `PUT /api/v1/workspaces/<workspace_uuid>/members/<account_uuid>`
+- `DELETE /api/v1/workspaces/<workspace_uuid>/members/<account_uuid>`
+
+现有资源 API：
+
+- `/api/v1/platform/bots`
+- `/api/v1/pipelines`
+- `/api/v1/provider/*`
+- `/api/v1/plugins`
+- `/api/v1/mcp`
+- `/api/v1/knowledge`
+
+继续保留，但必须从 `RequestContext.workspace_uuid` 过滤。
+
+对外 API Key 也使用相同路径，只是由 key 决定 workspace。
+
+### 初始化流程
+
+现有 `/api/v1/user/init` 含义改为“创建首个账号和首个 workspace”：
+
+1. 如果系统没有任何 account：
+   - 创建 account。
+   - 创建 personal/team workspace。
+   - 创建 owner membership。
+   - 创建默认 pipeline。
+   - 标记 wizard status 到该 workspace metadata。
+2. 如果系统已有 account：
+   - 禁止无邀请注册，除非配置允许公开注册。
+   - Space OAuth 登录后，如果没有 membership，引导创建 workspace 或接受邀请。
+
+`/api/v1/user/account-info` 不应再只返回 first user，应返回：
+
+- `initialized`
+- `registration_mode`
+- `space_enabled`
+- `default_login_methods`
+
+登录成功后前端调用 `/api/v1/workspaces` 选择 workspace。
+
+### 运行时隔离
+
+第一阶段采用共享进程 + workspace-aware runtime：
+
+- `RuntimeBot` 增加 `workspace_uuid`。
+- `RuntimePipeline` 增加 `workspace_uuid`。
+- `Query` 增加 `workspace_uuid`，从 bot/pipeline 派生。
+- `SessionManager.get_session()` key 从 `(launcher_type, launcher_id)` 改为 `(workspace_uuid, bot_uuid, launcher_type, launcher_id)`。
+- `PipelineManager.pipeline_dict` key 可保持 pipeline uuid，但所有 load/get 都校验 workspace；如果 uuid 不是全局唯一则改为 `(workspace_uuid, pipeline_uuid)`。
+- `ModelManager` provider/model 加 workspace 过滤；`get_model_by_uuid` 必须确保 query workspace 可访问。
+- `ToolManager` 中 MCP tools、plugin tools 按 query workspace 过滤。
+
+后续规模化时可演进：
+
+- workspace runtime shard：每个 workspace 一套 plugin runtime/MCP runtime。
+- 大客户独立进程或独立数据库。
+
+## Plugin SDK 与 Runtime 改造
+
+### Query/Event 增加 workspace context
+
+SDK `Query` 增加：
+
+- `workspace_uuid: str`
+- `workspace_slug: str | None`
+- `account_uuid: str | None`，仅 Web/API 触发时可能有，聊天平台消息通常为空。
+
+Event 模型通过 `event.query.workspace_uuid` 可拿到租户上下文；序列化时也应包含这些字段。
+
+向后兼容：
+
+- 字段可选，默认 `None`。
+- 老插件不感知这些字段也能跑。
+- 新插件可通过 `ctx.event.query.workspace_uuid` 或新增 `ctx.get_workspace()` 访问。
+
+### Host API 默认按当前 workspace 限制
+
+`LangBotAPIProxy` 的以下方法必须由 Host 端按 workspace 过滤：
+
+- `get_bots`
+- `get_bot_info`
+- `send_message`
+- `get_llm_models`
+- `invoke_llm`
+- `list_plugins_manifest`
+- `list_commands`
+- `list_tools`
+- `call_tool`
+- `invoke_embedding`
+- `vector_*`
+- `list_knowledge_bases`
+- `retrieve_knowledge`
+
+建议新增显式方法：
+
+- `get_workspace_info()`
+- `get_current_account()`
+- `get_workspace_storage(...)`
+
+但不要让插件传入任意 workspace id 来越权访问。插件请求的 workspace 应由 Runtime 根据当前 query/plugin connection 填充。
+
+### Workspace storage 修复
+
+当前 SDK runtime 中：
+
+```python
+data["owner_type"] = "workspace"
+data["owner"] = "default"
+```
+
+必须改为：
+
+- 如果请求来自 query/event：owner 为 `workspace_uuid`。
+- 如果请求来自后台插件任务：owner 为 plugin 安装所属 workspace。
+- Host 侧 `binary_storages` 加 `workspace_uuid`，并在 unique key 中包含 workspace。
+
+Plugin storage 建议也同时加 workspace：
+
+- 现在 plugin storage owner 是 `author/name`，这会导致同一插件在不同 workspace 的私有数据冲突。
+- 应改为 `(workspace_uuid, plugin_id, key)`。
+
+### 插件安装与配置
+
+`plugin_settings` 从全局变为 workspace-scoped：
+
+- 同一个插件可安装到多个 workspace。
+- 每个 workspace 有自己的 enabled、priority、config、install_source、install_info。
+- 插件 runtime 列表需要能按 workspace 过滤。
+
+实现路线有两种：
+
+1. 共享插件进程，插件代码只加载一份，设置和调用时附带 workspace。
+2. 每个 workspace 一个插件容器实例，隔离最彻底但资源占用更高。
+
+推荐第一阶段采用方案 1，但要求：
+
+- 所有 RuntimeToLangBot/PluginToRuntime action 都能携带 `workspace_uuid`。
+- 插件 config 获取时按 workspace 返回。
+- 插件 page API 请求必须校验当前用户在该 workspace 有访问权限。
+
+### MCP
+
+MCP server 是租户资源：
+
+- `mcp_servers.workspace_uuid`。
+- MCP session key 从 `server_name` 改为 `(workspace_uuid, server_name)` 或使用全局 uuid。
+- Pipeline extension preferences 中绑定 MCP server uuid 时，只能绑定同 workspace 的 server。
+- MCP tool 列表在 query 执行时按 query.workspace_uuid + pipeline 绑定关系过滤。
+
+## 前端改造
+
+### Workspace selector
+
+Home layout 顶部或 sidebar 增加 workspace selector：
+
+- 当前 workspace 名称和头像。
+- 切换 workspace 后写入 `localStorage.currentWorkspaceId`。
+- 所有请求自动带 `X-Workspace-Id`。
+- 切换后刷新 sidebar 数据和页面缓存。
+
+`BaseHttpClient` request interceptor 增加：
+
+```ts
+const workspaceId = localStorage.getItem("currentWorkspaceId");
+if (workspaceId) config.headers["X-Workspace-Id"] = workspaceId;
+```
+
+### 用户与成员管理页面
+
+新增页面：
+
+- `/home/workspace/settings`
+- `/home/workspace/members`
+- `/home/workspace/invitations`
+
+能力：
+
+- owner/admin 邀请成员。
+- owner/admin 修改成员角色。
+- owner 移除成员、转让 owner。
+- 所有人可切换 workspace。
+- viewer/operator 在 UI 上隐藏不可操作按钮，但后端仍做权限校验。
+
+### 登录与注册
+
+登录后流程：
+
+1. `authUser` 拿 token。
+2. `initializeUserInfo()` 获取 account info。
+3. `GET /api/v1/workspaces`。
+4. 如果没有 workspace：进入创建 workspace 向导。
+5. 如果有多个 workspace：默认进入最近使用 workspace，可切换。
+
+注册页不再表达“初始化管理员账号”，而是：
+
+- 首次系统启动：创建首个 owner + default workspace。
+- 后续：根据配置允许公开注册，或只能接受邀请。
+
+### 旧页面影响
+
+需要逐个检查这些页面的数据加载是否都依赖当前 workspace：
+
+- Bots
+- Pipelines
+- Plugins/Market/MCP
+- Knowledge
+- Monitoring
+- Models dialog
+- API integration dialog
+- Wizard
+
+## 迁移方案
+
+### 迁移阶段 0：准备
+
+- 引入 `workspaces`、`workspace_memberships`、`workspace_invitations`。
+- 给 `users` 增加 `uuid/status/display_name` 等字段。
+- 创建 `RequestContext`，但先不强制所有服务改完。
+
+### 迁移阶段 1：默认 workspace
+
+对现有实例执行迁移：
+
+1. 创建 `Default Workspace`。
+2. 找到现有第一个 user，设为 owner。
+3. 所有已有资源写入 `workspace_uuid=default_workspace_uuid`。
+4. `metadata` 迁入 default workspace；确实全局的配置放到 `system_metadata`。
+5. `binary_storages` 中 `owner_type=workspace, owner=default` 改为 owner 为 default workspace uuid。
+6. 插件 `plugin_settings` 归入 default workspace。
+
+### 迁移阶段 2：服务层强制 scope
+
+- 改所有 service 查询，必须要求 `workspace_uuid`。
+- API Key 迁移为 workspace key。
+- 所有写操作必须检查权限。
+- 监控和任务查询按 workspace 过滤。
+
+### 迁移阶段 3：运行时上下文
+
+- `Query`、`Session`、`RuntimeBot`、`RuntimePipeline` 增加 workspace。
+- Plugin/MCP/Model/RAG runtime 全部按 workspace 过滤。
+- 修复 SDK workspace storage。
+
+### 迁移阶段 4：前端多 workspace
+
+- 登录后 workspace 选择。
+- Header/sidebar workspace switcher。
+- 成员和邀请管理。
+- 所有 API 请求带 `X-Workspace-Id`。
+
+### 迁移阶段 5：安全收敛
+
+- 添加跨 workspace 越权测试。
+- 添加 API Key scope 测试。
+- 添加插件 Host API 过滤测试。
+- 添加 MCP 和 RAG 隔离测试。
+
+## 安全边界
+
+必须防的场景：
+
+- 用户 A 修改 URL 中 bot uuid，访问用户 B workspace 的 bot。
+- API Key 来自 workspace A，但调用 workspace B 的 bot。
+- 插件通过 `get_bots()` 枚举所有 workspace 的 bot。
+- 插件通过 `workspace_storage` 读取其它 workspace 的数据。
+- MCP server 名称相同导致 session 复用。
+- monitoring session_id 相同导致数据串租户。
+- Space OAuth 登录时，同 email 账户被错误绑定到已有本地 account。
+
+建议策略：
+
+- 所有资源访问都使用 `workspace_uuid + resource_id`。
+- 所有 service 方法入口做权限检查。
+- 插件 Host API 的 workspace 不信任插件入参，只信任 query/runtime connection 上下文。
+- API Key 只授予最小 scope，默认不允许成员管理。
+- owner 角色不能被普通 admin 移除或降权。
+
+## 实施优先级
+
+### P0：基础租户骨架
+
+- Account uuid/status。
+- Workspace / Membership / Invitation。
+- RequestContext。
+- JWT 改为 account uuid。
+- 前端 current workspace header。
+
+### P1：资源行级隔离
+
+- Bots、Pipelines、Models、MCP、Plugins、Knowledge、Monitoring、API Keys 全部加 workspace_uuid。
+- service 查询统一加 workspace filter。
+- 权限矩阵落地。
+
+### P2：运行时隔离
+
+- Query、Session、RuntimeBot、RuntimePipeline 加 workspace。
+- Plugin Host API 和 MCP tools 按 workspace 过滤。
+- SDK workspace storage 从 `default` 改为真实 workspace。
+
+### P3：协作体验
+
+- 邀请成员。
+- 成员列表和角色管理。
+- workspace switcher。
+- 最近使用 workspace。
+
+### P4：SaaS 运维增强
+
+- Workspace 级用量统计。
+- Workspace 级限额：max_bots/max_pipelines/max_extensions/tokens/storage。
+- 审计日志。
+- workspace suspend/delete。
+- 可选自定义角色。
+
+## 测试计划
+
+后端测试：
+
+- 账户可加入多个 workspace。
+- 同账户在不同 workspace 权限不同。
+- viewer 不能创建/修改资源。
+- API Key 只能访问所属 workspace。
+- 所有资源 list/get/update/delete 都不能跨 workspace。
+- 默认 workspace 迁移后旧数据可用。
+
+运行时测试：
+
+- 两个 workspace 使用相同 `launcher_id` 不共享 session。
+- 两个 workspace 使用相同 MCP server name 不共享 MCP session。
+- 插件 `get_bots()` 只能看到当前 workspace bot。
+- 插件 `workspace_storage` 在不同 workspace 读写隔离。
+- Pipeline 只调用当前 workspace 绑定的插件和 MCP tools。
+
+前端测试：
+
+- 登录后自动进入最近 workspace。
+- 切换 workspace 后列表数据变化。
+- 无权限按钮隐藏，直接调用 API 也被后端拒绝。
+- 邀请成员流程完整。
+
+迁移测试：
+
+- SQLite 老实例迁移。
+- PostgreSQL 老实例迁移。
+- 已有 local account 迁移为 default workspace owner。
+- 已有 Space account token 和 Space model provider API key 不丢失。
+
+## 关键实现注意事项
+
+- 不建议在第一版做数据库 schema-per-tenant。LangBot 当前 ORM 和运行时均以单库单表为主，先做 shared schema + workspace_uuid 成本更低。
+- 不建议每个 workspace 立即启动独立 plugin runtime。先共享 runtime，强制 action 带 workspace；大客户隔离可作为后续部署形态。
+- 不要只在前端过滤 workspace。插件、API Key、MCP、RAG 都能绕过前端，必须在后端和运行时层过滤。
+- `metadata` 要拆清楚：wizard status 属于 workspace，系统版本/迁移信息属于 system。
+- `users.user` 用 email 当主键语义不稳，应尽快引入 `account_uuid` 并让 JWT 以 uuid 为准。
+- `plugin_settings` 当前主键没有 workspace，改造时要先改主键/唯一约束，否则同插件无法在多个 workspace 配不同配置。
+
+## 建议落地顺序
+
+1. 新增 workspace/account/membership 表和 RequestContext。
+2. 迁移旧数据到 default workspace。
+3. 改 auth 和前端请求头，让每个请求都有 current workspace。
+4. 从最核心资源开始逐个加 scope：bot -> pipeline -> provider/model -> plugin/MCP -> knowledge -> monitoring。
+5. 改 SDK Query/Event 和 runtime storage。
+6. 上成员管理 UI 和邀请。
+7. 做越权测试和迁移测试。
+
+这个顺序的好处是可以较早让主 UI 在一个 workspace 下继续工作，同时把最危险的跨租户泄露面逐步收紧。

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.8.7"
+version = "4.9.6"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -8,7 +8,7 @@ requires-python = ">=3.11,<4.0"
 dependencies = [
     "aiocqhttp>=1.4.4",
     "aiofiles>=24.1.0",
-    "aiohttp>=3.11.18",
+    "aiohttp>=3.13.4",
     "aioshutil>=1.5",
     "aiosqlite>=0.21.0",
     "anthropic>=0.51.0",
@@ -16,7 +16,7 @@ dependencies = [
     "async-lru>=2.0.5",
     "certifi>=2025.4.26",
     "colorlog~=6.6.0",
-    "cryptography>=44.0.3",
+    "cryptography>=46.0.7",
     "dashscope>=1.25.10",
     "dingtalk-stream>=0.24.0",
     "discord-py>=2.5.2",
@@ -27,7 +27,7 @@ dependencies = [
     "nakuru-project-idk>=0.0.2.1",
     "ollama>=0.4.8",
     "openai>1.0.0",
-    "pillow>=11.2.1",
+    "pillow>=12.2.0",
     "psutil>=7.0.0",
     "pycryptodome>=3.22.0",
     "pydantic>2.0",
@@ -39,6 +39,7 @@ dependencies = [
     "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",
@@ -49,7 +50,7 @@ dependencies = [
     "pip>=25.1.1",
     "ruff>=0.11.9",
     "pre-commit>=4.2.0",
-    "uv>=0.7.11",
+    "uv>=0.11.6",
     "mypy>=1.16.0",
     "PyPDF2>=3.0.1",
     "python-docx>=1.1.0",
@@ -60,13 +61,18 @@ dependencies = [
     "ebooklib>=0.18",
     "html2text>=2024.2.26",
     "langchain>=0.2.0",
-    "langchain-text-splitters>=0.0.1",
-    "chromadb>=0.4.24",
+    "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==1.0.0b7",
-    "langbot-plugin==0.3.0rc1",
+    "pyseekdb==1.1.0.post3",
+    "langbot-plugin==0.3.10",
     "asyncpg>=0.30.0",
     "line-bot-sdk>=3.19.0",
+    "matrix-nio>=0.25.2",
     "tboxsdk>=0.0.10",
     "boto3>=1.35.0",
     "pymilvus>=2.6.4",
@@ -111,12 +117,12 @@ requires = ["setuptools>=61.0", "wheel"]
 build-backend = "setuptools.build_meta"
 
 [tool.setuptools]
-package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/out/**"] }
+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>=8.4.1",
+    "pytest>=9.0.3",
     "pytest-asyncio>=1.0.0",
     "pytest-cov>=7.0.0",
     "ruff>=0.11.9",

src/langbot/__init__.py

@@ -1,3 +1,3 @@
 """LangBot - Production-grade platform for building agentic IM bots"""
 
-__version__ = '4.8.7'
+__version__ = '4.9.6'

src/langbot/libs/dingtalk_api/api.py

@@ -182,6 +182,88 @@ class DingTalkClient:
             for handler in self._message_handlers[msg_type]:
                 await handler(event)
 
+    async def _parse_quoted_message(self, replied_msg: dict) -> dict:
+        """Parse the quoted/replied message and extract its content.
+
+        Args:
+            replied_msg: The repliedMsg object from DingTalk message
+
+        Returns:
+            A dict containing the quoted message info with keys:
+            - message_id: The original message ID
+            - msg_type: The message type (text, file, picture, audio, etc.)
+            - content: The text content (if any)
+            - file_url: The file download URL (if file type)
+            - file_name: The file name (if file type)
+            - picture: The picture base64 (if picture type)
+            - audio: The audio base64 (if audio type)
+        """
+        quote_info = {
+            'message_id': replied_msg.get('msgId', ''),
+            'msg_type': replied_msg.get('msgType', ''),
+            'sender_id': replied_msg.get('senderId', ''),
+        }
+
+        msg_type = replied_msg.get('msgType', '')
+        content = replied_msg.get('content', {})
+
+        # Handle content as string (JSON) or dict
+        if isinstance(content, str):
+            try:
+                content = json.loads(content)
+            except (json.JSONDecodeError, TypeError):
+                content = {}
+
+        if msg_type == 'text':
+            # Text message
+            if isinstance(content, dict):
+                quote_info['content'] = content.get('content', '')
+            else:
+                quote_info['content'] = str(content)
+
+        elif msg_type == 'file':
+            # File message
+            download_code = content.get('downloadCode')
+            file_name = content.get('fileName')
+            if download_code and file_name:
+                try:
+                    quote_info['file_url'] = await self.get_file_url(download_code)
+                    quote_info['file_name'] = file_name
+                except Exception as e:
+                    if self.logger:
+                        await self.logger.error(f'Failed to get quoted file URL: {e}')
+
+        elif msg_type == 'picture':
+            # Picture message
+            download_code = content.get('downloadCode')
+            if download_code:
+                try:
+                    quote_info['picture'] = await self.download_image(download_code)
+                except Exception as e:
+                    if self.logger:
+                        await self.logger.error(f'Failed to download quoted image: {e}')
+
+        elif msg_type == 'audio':
+            # Audio message
+            download_code = content.get('downloadCode')
+            if download_code:
+                try:
+                    quote_info['audio'] = await self.get_audio_url(download_code)
+                except Exception as e:
+                    if self.logger:
+                        await self.logger.error(f'Failed to get quoted audio: {e}')
+
+        elif msg_type == 'richText':
+            # Rich text message - extract text content
+            rich_text = content.get('richText', [])
+            texts = []
+            for item in rich_text:
+                if 'text' in item and item['text'] != '\n':
+                    texts.append(item['text'])
+            quote_info['content'] = '\n'.join(texts)
+
+        return quote_info
+
     async def get_message(self, incoming_message: dingtalk_stream.chatbot.ChatbotMessage):
         try:
             # print(json.dumps(incoming_message.to_dict(), indent=4, ensure_ascii=False))
@@ -193,6 +275,15 @@ class DingTalkClient:
             elif str(incoming_message.conversation_type) == '2':
                 message_data['conversation_type'] = 'GroupMessage'
 
+            # Check for quoted/replied message
+            raw_data = incoming_message.to_dict()
+            text_data = raw_data.get('text', {})
+            if isinstance(text_data, dict) and text_data.get('isReplyMsg'):
+                replied_msg = text_data.get('repliedMsg', {})
+                if replied_msg:
+                    quote_info = await self._parse_quoted_message(replied_msg)
+                    message_data['QuotedMessage'] = quote_info
+
             if incoming_message.message_type == 'richText':
                 data = incoming_message.rich_text_content.to_dict()
 
@@ -268,19 +359,52 @@ class DingTalkClient:
 
                 message_data['Type'] = 'image'
             elif incoming_message.message_type == 'audio':
-                message_data['Audio'] = await self.get_audio_url(incoming_message.to_dict()['content']['downloadCode'])
+                raw_content = incoming_message.to_dict().get('content', {})
+                # 兼容处理：如果 content 仍为 JSON 字符串则进行解析
+                if isinstance(raw_content, str):
+                    try:
+                        raw_content = json.loads(raw_content)
+                    except (json.JSONDecodeError, TypeError):
+                        raw_content = {}
+
+                if self.logger:
+                    await self.logger.info(f'DingTalk audio raw content: {json.dumps(raw_content, ensure_ascii=False)}')
+
+                # 提取钉钉自带的语音转写文字（Powered by Qwen）
+                recognition = raw_content.get('recognition', '')
+                if recognition:
+                    message_data['Content'] = recognition
+
+                download_code = raw_content.get('downloadCode')
+                if download_code:
+                    message_data['Audio'] = await self.get_audio_url(download_code)
 
                 message_data['Type'] = 'audio'
             elif incoming_message.message_type == 'file':
-                down_list = incoming_message.get_down_list()
-                if len(down_list) >= 2:
-                    message_data['File'] = await self.get_file_url(down_list[0])
-                    message_data['Name'] = down_list[1]
+                # 获取原始数据字典并提取嵌套的文件信息
+                raw_data = incoming_message.to_dict()
+                file_info = raw_data.get('content', {})
+
+                # 兼容处理：如果 content 仍为 JSON 字符串则进行解析
+                if isinstance(file_info, str):
+                    try:
+                        file_info = json.loads(file_info)
+                    except (json.JSONDecodeError, TypeError):
+                        file_info = {}
+
+                download_code = file_info.get('downloadCode')
+                file_name = file_info.get('fileName')
+
+                if download_code and file_name:
+                    # 转换 downloadCode 为可下载的真实 URL
+                    message_data['File'] = await self.get_file_url(download_code)
+                    message_data['Name'] = file_name
                 else:
                     if self.logger:
-                        await self.logger.error(f'get_down_list() returned fewer than 2 elements: {down_list}')
+                        await self.logger.error(f'Failed to extract file info from message content: {file_info}')
                     message_data['File'] = None
                     message_data['Name'] = None
+
                 message_data['Type'] = 'file'
 
             copy_message_data = message_data.copy()
@@ -357,6 +481,12 @@ class DingTalkClient:
         card_data['config'] = json.dumps({'autoLayout': card_auto_layout})
         card_data['content'] = ''
 
+        # 将用户的消息内容作为卡片的查询参数，方便后续处理
+        if incoming_message.message_type == 'text':
+            card_data['query'] = incoming_message.get_text_list()[0]
+        else:
+            card_data['query'] = '...'
+
         card_instance = dingtalk_stream.AICardReplier(self.client, incoming_message)
         # print(card_instance)
         # 先投放卡片: https://open.dingtalk.com/document/orgapp/create-and-deliver-cards

src/langbot/libs/dingtalk_api/dingtalkevent.py

@@ -47,6 +47,22 @@ class DingTalkEvent(dict):
     def conversation(self):
         return self.get('conversation_type', '')
 
+    @property
+    def quoted_message(self) -> Optional[Dict[str, Any]]:
+        """Get the quoted/replied message info if this is a reply message.
+
+        Returns:
+            A dict containing:
+            - message_id: The original message ID
+            - msg_type: The message type (text, file, picture, audio, etc.)
+            - content: The text content (if any)
+            - file_url: The file download URL (if file type)
+            - file_name: The file name (if file type)
+            - picture: The picture base64 (if picture type)
+            - audio: The audio base64 (if audio type)
+        """
+        return self.get('QuotedMessage')
+
     def __getattr__(self, key: str) -> Optional[Any]:
         """
         允许通过属性访问数据中的任意字段。

src/langbot/libs/openclaw_weixin_api/__init__.py

@@ -0,0 +1,3 @@
+from .client import OpenClawWeixinClient as OpenClawWeixinClient
+from .types import ApiError as ApiError
+from .types import LoginResult as LoginResult

src/langbot/libs/openclaw_weixin_api/client.py

@@ -0,0 +1,807 @@
+"""Async HTTP client for the OpenClaw WeChat API.
+
+Implements the iLink Bot API protocol.
+Reference: https://github.com/epiral/weixin-bot
+
+Endpoints: getUpdates (long-poll), sendMessage, getUploadUrl, getConfig, sendTyping.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import base64
+import io
+import logging
+import os
+import struct
+import typing
+import uuid
+from typing import Optional
+from urllib.parse import quote
+
+import aiohttp
+
+from .types import (
+    ApiError,
+    CDNMedia,
+    FileItem,
+    GetConfigResponse,
+    GetUpdatesResponse,
+    GetUploadUrlResponse,
+    ImageItem,
+    LoginResult,
+    MessageItem,
+    QRCodeResponse,
+    QRStatusResponse,
+    RefMessage,
+    TextItem,
+    VideoItem,
+    VoiceItem,
+    WeixinMessage,
+)
+
+logger = logging.getLogger('openclaw-weixin-sdk')
+
+DEFAULT_BASE_URL = 'https://ilinkai.weixin.qq.com'
+CDN_BASE_URL = 'https://novac2c.cdn.weixin.qq.com/c2c'
+
+CHANNEL_VERSION = '1.0.0'
+
+DEFAULT_API_TIMEOUT = 15
+DEFAULT_LONG_POLL_TIMEOUT = 40
+DEFAULT_CONFIG_TIMEOUT = 10
+DEFAULT_QR_POLL_TIMEOUT = 35
+
+SESSION_EXPIRED_ERRCODE = -14
+
+DEFAULT_BOT_TYPE = '3'
+
+# Maximum text length per message chunk (WeChat limit)
+MAX_TEXT_CHUNK_SIZE = 2000
+
+
+def _random_wechat_uin() -> str:
+    """Generate the X-WECHAT-UIN header: random uint32 -> decimal string -> base64."""
+    rand_bytes = os.urandom(4)
+    uint32_val = struct.unpack('>I', rand_bytes)[0]
+    return base64.b64encode(str(uint32_val).encode('utf-8')).decode('utf-8')
+
+
+def _build_base_info() -> dict:
+    """Build the base_info payload included in every API request."""
+    return {'channel_version': CHANNEL_VERSION}
+
+
+def _chunk_text(text: str, max_size: int = MAX_TEXT_CHUNK_SIZE) -> list[str]:
+    """Split long text into chunks that fit within WeChat's message size limit."""
+    if len(text) <= max_size:
+        return [text]
+    chunks = []
+    while text:
+        chunks.append(text[:max_size])
+        text = text[max_size:]
+    return chunks
+
+
+class OpenClawWeixinClient:
+    """Async client for the OpenClaw WeChat HTTP JSON API."""
+
+    def __init__(self, base_url: str, token: str):
+        self.base_url = base_url.rstrip('/')
+        self.token = token
+        self._session: Optional[aiohttp.ClientSession] = None
+
+    async def _get_session(self) -> aiohttp.ClientSession:
+        if self._session is None or self._session.closed:
+            self._session = aiohttp.ClientSession()
+        return self._session
+
+    async def close(self):
+        if self._session and not self._session.closed:
+            await self._session.close()
+
+    def _build_headers(self) -> dict[str, str]:
+        headers = {
+            'Content-Type': 'application/json',
+            'AuthorizationType': 'ilink_bot_token',
+            'X-WECHAT-UIN': _random_wechat_uin(),
+        }
+        if self.token:
+            headers['Authorization'] = f'Bearer {self.token}'
+        return headers
+
+    async def _post(self, endpoint: str, payload: dict, timeout: float = DEFAULT_API_TIMEOUT) -> dict:
+        """Make a POST request and return the JSON response.
+
+        Raises ApiError on HTTP errors or when the response contains a non-zero errcode.
+        """
+        payload['base_info'] = _build_base_info()
+
+        session = await self._get_session()
+        url = f'{self.base_url}/{endpoint}'
+        headers = self._build_headers()
+
+        async with session.post(
+            url, json=payload, headers=headers, timeout=aiohttp.ClientTimeout(total=timeout)
+        ) as resp:
+            if resp.status != 200:
+                text = await resp.text()
+                raise ApiError(
+                    f'OpenClaw API error {resp.status}: {text}',
+                    status=resp.status,
+                )
+            data = await resp.json(content_type=None)
+
+        # Check for application-level errors in the response body
+        errcode = data.get('errcode') or data.get('ret')
+        if errcode and errcode != 0:
+            raise ApiError(
+                data.get('errmsg') or f'API errcode {errcode}',
+                status=200,
+                code=errcode,
+                payload=data,
+            )
+
+        return data
+
+    async def get_updates(
+        self, get_updates_buf: str = '', timeout: float = DEFAULT_LONG_POLL_TIMEOUT
+    ) -> GetUpdatesResponse:
+        """Long-poll for new messages.
+
+        Note: This method does NOT raise ApiError for errcode responses —
+        it returns them in the GetUpdatesResponse so the caller can handle
+        session expiry and other errors with full context.
+        """
+        try:
+            # Bypass the errcode check in _post since get_updates needs
+            # to return error info (e.g. session expired) to the caller.
+            payload: dict = {'get_updates_buf': get_updates_buf}
+            payload['base_info'] = _build_base_info()
+
+            session = await self._get_session()
+            url = f'{self.base_url}/ilink/bot/getupdates'
+            headers = self._build_headers()
+
+            async with session.post(
+                url,
+                json=payload,
+                headers=headers,
+                timeout=aiohttp.ClientTimeout(total=timeout),
+            ) as resp:
+                if resp.status != 200:
+                    text = await resp.text()
+                    raise ApiError(
+                        f'OpenClaw API error {resp.status}: {text}',
+                        status=resp.status,
+                    )
+                data = await resp.json(content_type=None)
+
+        except (asyncio.TimeoutError, aiohttp.ServerTimeoutError):
+            return GetUpdatesResponse(ret=0, msgs=[], get_updates_buf=get_updates_buf)
+        except ApiError:
+            raise
+        except Exception as e:
+            if 'timeout' in str(e).lower():
+                return GetUpdatesResponse(ret=0, msgs=[], get_updates_buf=get_updates_buf)
+            raise
+
+        return _parse_get_updates_response(data)
+
+    async def send_message(
+        self,
+        to_user_id: str,
+        item_list: list[MessageItem],
+        context_token: str = '',
+    ) -> None:
+        """Send a message to a user."""
+        items_payload = [_message_item_to_dict(item) for item in item_list]
+
+        payload = {
+            'msg': {
+                'from_user_id': '',
+                'to_user_id': to_user_id,
+                'client_id': f'langbot-{uuid.uuid4().hex[:16]}',
+                'message_type': WeixinMessage.TYPE_BOT,
+                'message_state': WeixinMessage.STATE_FINISH,
+                'item_list': items_payload,
+                'context_token': context_token or None,
+            }
+        }
+        await self._post('ilink/bot/sendmessage', payload)
+
+    async def send_text(self, to_user_id: str, text: str, context_token: str = '') -> None:
+        """Send a plain text message, automatically chunking if too long."""
+        chunks = _chunk_text(text)
+        for chunk in chunks:
+            item = MessageItem(type=MessageItem.TEXT, text_item=TextItem(text=chunk))
+            await self.send_message(to_user_id, [item], context_token)
+
+    async def get_config(self, ilink_user_id: str, context_token: str = '') -> GetConfigResponse:
+        """Get bot config including typing_ticket."""
+        data = await self._post(
+            'ilink/bot/getconfig',
+            {'ilink_user_id': ilink_user_id, 'context_token': context_token or None},
+            timeout=DEFAULT_CONFIG_TIMEOUT,
+        )
+        return GetConfigResponse(
+            ret=data.get('ret'),
+            errmsg=data.get('errmsg'),
+            typing_ticket=data.get('typing_ticket'),
+        )
+
+    async def send_typing(self, ilink_user_id: str, typing_ticket: str, status: int = 1) -> None:
+        """Send typing indicator. status: 1=typing, 2=cancel."""
+        await self._post(
+            'ilink/bot/sendtyping',
+            {
+                'ilink_user_id': ilink_user_id,
+                'typing_ticket': typing_ticket,
+                'status': status,
+            },
+            timeout=DEFAULT_CONFIG_TIMEOUT,
+        )
+
+    async def stop_typing(self, ilink_user_id: str, typing_ticket: str) -> None:
+        """Cancel the typing indicator for a user."""
+        await self.send_typing(ilink_user_id, typing_ticket, status=2)
+
+    async def download_media(
+        self,
+        media: CDNMedia,
+    ) -> bytes:
+        """Download and decrypt a file from the WeChat CDN.
+
+        Args:
+            media: CDNMedia object with encrypt_query_param and aes_key.
+
+        Returns:
+            Decrypted file bytes.
+        """
+        from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
+        from cryptography.hazmat.primitives.padding import PKCS7
+
+        if not media.encrypt_query_param:
+            raise ApiError('CDN media has no encrypt_query_param', status=0)
+        if not media.aes_key:
+            raise ApiError('CDN media has no aes_key', status=0)
+
+        # Derive 16-byte AES key
+        # aes_key is base64-encoded; the decoded content may be:
+        #   - raw 16 bytes (direct AES key)
+        #   - 32-char hex string (decode hex to get 16 bytes)
+        raw = base64.b64decode(media.aes_key)
+        if len(raw) == 16:
+            aes_key = raw
+        elif len(raw) == 32:
+            # Hex-encoded 16-byte key
+            aes_key = bytes.fromhex(raw.decode('utf-8'))
+        else:
+            raise ApiError(f'Invalid AES key length: {len(raw)} (expected 16 or 32)', status=0)
+
+        # Download encrypted bytes from CDN
+        session = await self._get_session()
+        cdn_url = f'{CDN_BASE_URL}/download?encrypted_query_param={quote(media.encrypt_query_param, safe="")}'
+
+        async with session.get(cdn_url, timeout=aiohttp.ClientTimeout(total=120)) as resp:
+            if resp.status != 200:
+                text = await resp.text()
+                raise ApiError(f'CDN download failed: {resp.status} {text}', status=resp.status)
+            encrypted = await resp.read()
+
+        # Decrypt AES-128-ECB with PKCS7 padding
+        cipher = Cipher(algorithms.AES(aes_key), modes.ECB())
+        decryptor = cipher.decryptor()
+        padded = decryptor.update(encrypted) + decryptor.finalize()
+
+        unpadder = PKCS7(128).unpadder()
+        return unpadder.update(padded) + unpadder.finalize()
+
+    async def upload_media(
+        self,
+        file_bytes: bytes,
+        to_user_id: str,
+        media_type: int,
+    ) -> CDNMedia:
+        """Encrypt and upload media to WeChat CDN.
+
+        Args:
+            file_bytes: Raw file bytes to upload.
+            to_user_id: Recipient user ID.
+            media_type: 1=IMAGE, 2=VIDEO, 3=FILE, 4=VOICE.
+
+        Returns:
+            CDNMedia with encrypt_query_param and aes_key for use in sendMessage.
+        """
+        import hashlib
+
+        from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
+        from cryptography.hazmat.primitives.padding import PKCS7
+
+        # 1. Generate random 16-byte AES key
+        raw_key = os.urandom(16)
+        aes_key_hex = raw_key.hex()  # 32-char hex string
+
+        # 2. Encode key for CDNMedia: base64(hex_string) — same for all media types
+        # Matches official SDK: Buffer.from(aeskey_hex).toString("base64")
+        encoded_key = base64.b64encode(aes_key_hex.encode('utf-8')).decode('utf-8')
+
+        # 3. Encrypt file with AES-128-ECB + PKCS7
+        padder = PKCS7(128).padder()
+        padded = padder.update(file_bytes) + padder.finalize()
+        cipher = Cipher(algorithms.AES(raw_key), modes.ECB())
+        encryptor = cipher.encryptor()
+        encrypted = encryptor.update(padded) + encryptor.finalize()
+
+        # 4. Get upload URL
+        raw_md5 = hashlib.md5(file_bytes).hexdigest()
+        filekey = os.urandom(16).hex()  # 32-char hex, matches official SDK
+
+        upload_resp = await self.get_upload_url(
+            filekey=filekey,
+            media_type=media_type,
+            to_user_id=to_user_id,
+            rawsize=len(file_bytes),
+            rawfilemd5=raw_md5,
+            filesize=len(encrypted),
+            aeskey=aes_key_hex,  # hex string, as expected by the API
+        )
+
+        if not upload_resp.upload_param:
+            raise ApiError('Failed to get upload URL', status=0)
+
+        # 5. Upload to CDN
+        # upload_param is an opaque token from the server — pass it as-is
+        session = await self._get_session()
+        cdn_url = f'{CDN_BASE_URL}/upload?encrypted_query_param={quote(upload_resp.upload_param, safe="")}&filekey={quote(filekey, safe="")}'
+        logger.debug(
+            'CDN upload: url=%s raw_size=%d encrypted_size=%d md5=%s aeskey=%s',
+            cdn_url,
+            len(file_bytes),
+            len(encrypted),
+            raw_md5,
+            encoded_key,
+        )
+
+        async with session.post(
+            cdn_url,
+            data=encrypted,
+            headers={'Content-Type': 'application/octet-stream'},
+            timeout=aiohttp.ClientTimeout(total=120),
+        ) as resp:
+            if resp.status != 200:
+                text = await resp.text()
+                logger.error('CDN upload failed: status=%d url=%s body=%s', resp.status, cdn_url, text[:500])
+                raise ApiError(f'CDN upload failed: {resp.status} {text}', status=resp.status)
+            download_param = resp.headers.get('x-encrypted-param', '')
+
+        if not download_param:
+            raise ApiError('CDN upload succeeded but no x-encrypted-param returned', status=0)
+
+        return CDNMedia(
+            encrypt_query_param=download_param,
+            aes_key=encoded_key,
+            encrypt_type=1,
+        )
+
+    async def send_image(
+        self,
+        to_user_id: str,
+        image_bytes: bytes,
+        context_token: str = '',
+    ) -> None:
+        """Upload an image to CDN and send it."""
+        media = await self.upload_media(image_bytes, to_user_id, media_type=1)
+        item = MessageItem(
+            type=MessageItem.IMAGE,
+            image_item=ImageItem(
+                media=media,
+                aeskey=media.aes_key,
+            ),
+        )
+        await self.send_message(to_user_id, [item], context_token)
+
+    async def send_file(
+        self,
+        to_user_id: str,
+        file_bytes: bytes,
+        file_name: str,
+        context_token: str = '',
+    ) -> None:
+        """Upload a file to CDN and send it."""
+        import hashlib
+
+        media = await self.upload_media(file_bytes, to_user_id, media_type=3)
+        item = MessageItem(
+            type=MessageItem.FILE,
+            file_item=FileItem(
+                media=media,
+                file_name=file_name,
+                md5=hashlib.md5(file_bytes).hexdigest(),
+                len=str(len(file_bytes)),
+            ),
+        )
+        await self.send_message(to_user_id, [item], context_token)
+
+    async def send_voice(
+        self,
+        to_user_id: str,
+        voice_bytes: bytes,
+        playtime: int = 0,
+        context_token: str = '',
+    ) -> None:
+        """Upload a voice message to CDN and send it."""
+        media = await self.upload_media(voice_bytes, to_user_id, media_type=4)
+        item = MessageItem(
+            type=MessageItem.VOICE,
+            voice_item=VoiceItem(
+                media=media,
+                playtime=playtime,
+            ),
+        )
+        await self.send_message(to_user_id, [item], context_token)
+
+    async def get_upload_url(
+        self,
+        filekey: str,
+        media_type: int,
+        to_user_id: str,
+        rawsize: int,
+        rawfilemd5: str,
+        filesize: int,
+        thumb_rawsize: Optional[int] = None,
+        thumb_rawfilemd5: Optional[str] = None,
+        thumb_filesize: Optional[int] = None,
+        aeskey: Optional[str] = None,
+    ) -> GetUploadUrlResponse:
+        """Get a pre-signed CDN upload URL."""
+        payload: dict = {
+            'filekey': filekey,
+            'media_type': media_type,
+            'to_user_id': to_user_id,
+            'rawsize': rawsize,
+            'rawfilemd5': rawfilemd5,
+            'filesize': filesize,
+            'no_need_thumb': True,
+        }
+        if thumb_rawsize is not None:
+            payload['thumb_rawsize'] = thumb_rawsize
+        if thumb_rawfilemd5 is not None:
+            payload['thumb_rawfilemd5'] = thumb_rawfilemd5
+        if thumb_filesize is not None:
+            payload['thumb_filesize'] = thumb_filesize
+        if aeskey is not None:
+            payload['aeskey'] = aeskey
+
+        data = await self._post('ilink/bot/getuploadurl', payload)
+        logger.debug('get_upload_url response: %s', data)
+        return GetUploadUrlResponse(
+            upload_param=data.get('upload_param'),
+            thumb_upload_param=data.get('thumb_upload_param'),
+        )
+
+    # -----------------------------------------------------------------------
+    # QR Code Login
+    # -----------------------------------------------------------------------
+
+    async def fetch_qrcode(self, bot_type: str = DEFAULT_BOT_TYPE) -> QRCodeResponse:
+        """Fetch a QR code for WeChat login authorization (GET, no auth needed)."""
+        session = await self._get_session()
+        url = f'{self.base_url}/ilink/bot/get_bot_qrcode?bot_type={bot_type}'
+
+        async with session.get(url, timeout=aiohttp.ClientTimeout(total=DEFAULT_API_TIMEOUT)) as resp:
+            if resp.status != 200:
+                text = await resp.text()
+                raise ApiError(
+                    f'Failed to fetch QR code: {resp.status} {text}',
+                    status=resp.status,
+                )
+            data = await resp.json(content_type=None)
+
+        logger.debug(
+            'fetch_qrcode response: qrcode=%s, img=%s', data.get('qrcode'), bool(data.get('qrcode_img_content'))
+        )
+
+        return QRCodeResponse(
+            qrcode=data.get('qrcode'),
+            qrcode_img_content=data.get('qrcode_img_content'),
+        )
+
+    async def _fetch_qr_image_base64(self, url: str) -> str:
+        """Generate a QR code image from the URL and return a data URI string.
+
+        The qrcode_img_content URL points to an HTML page (not a raw image),
+        so we generate the QR code locally using the qrcode library.
+        """
+        import qrcode
+
+        qr = qrcode.QRCode(error_correction=qrcode.constants.ERROR_CORRECT_L)
+        qr.add_data(url)
+        qr.make(fit=True)
+        img = qr.make_image(fill_color='black', back_color='white')
+
+        buf = io.BytesIO()
+        img.save(buf, format='PNG')
+        b64 = base64.b64encode(buf.getvalue()).decode('utf-8')
+        return f'data:image/png;base64,{b64}'
+
+    async def poll_qrcode_status(self, qrcode: str) -> QRStatusResponse:
+        """Long-poll the QR code scan status (GET with iLink-App-ClientVersion header)."""
+        session = await self._get_session()
+        url = f'{self.base_url}/ilink/bot/get_qrcode_status?qrcode={quote(qrcode, safe="")}'
+        headers = {'iLink-App-ClientVersion': '1'}
+
+        try:
+            async with session.get(
+                url, headers=headers, timeout=aiohttp.ClientTimeout(total=DEFAULT_QR_POLL_TIMEOUT)
+            ) as resp:
+                if resp.status != 200:
+                    text = await resp.text()
+                    raise ApiError(
+                        f'Failed to poll QR status: {resp.status} {text}',
+                        status=resp.status,
+                    )
+                data = await resp.json(content_type=None)
+                logger.debug('QR status poll response: %s', data)
+        except (asyncio.TimeoutError, aiohttp.ServerTimeoutError):
+            return QRStatusResponse(status='wait')
+
+        return QRStatusResponse(
+            status=data.get('status'),
+            bot_token=data.get('bot_token'),
+            ilink_bot_id=data.get('ilink_bot_id'),
+            baseurl=data.get('baseurl'),
+            ilink_user_id=data.get('ilink_user_id'),
+        )
+
+    async def login(
+        self,
+        max_retries: int = 5,
+        poll_timeout_ms: int = 480_000,
+        on_qrcode: Optional[typing.Callable[[str, str], typing.Any]] = None,
+        on_status: Optional[typing.Callable[[str], typing.Any]] = None,
+    ) -> LoginResult:
+        """Complete QR code login flow with auto-retry on expiry.
+
+        Args:
+            max_retries: Max number of QR code refreshes on expiry.
+            poll_timeout_ms: Timeout per QR code in milliseconds.
+            on_qrcode: Callback(qr_image_base64, qr_url) called each time a
+                        new QR code is fetched. Use this to display the QR code.
+            on_status: Callback(status_str) called on each status poll change.
+
+        Returns:
+            LoginResult with token, base_url, and account_id.
+
+        Raises:
+            ApiError: On unrecoverable API errors.
+            Exception: If all retries are exhausted.
+        """
+        last_qr_base64: Optional[str] = None
+
+        for attempt in range(max_retries):
+            qr_resp = await self.fetch_qrcode()
+            if not qr_resp.qrcode or not qr_resp.qrcode_img_content:
+                raise ApiError('Failed to get QR code from server', status=0)
+
+            # Convert QR image to base64 and notify caller
+            last_qr_base64 = await self._fetch_qr_image_base64(qr_resp.qrcode_img_content)
+            if on_qrcode:
+                try:
+                    result = on_qrcode(last_qr_base64, qr_resp.qrcode_img_content)
+                    if asyncio.iscoroutine(result) or asyncio.isfuture(result):
+                        await result
+                except Exception as e:
+                    logger.warning('on_qrcode callback error: %s', e)
+
+            # Poll until confirmed / expired / timeout
+            loop = asyncio.get_running_loop()
+            deadline = loop.time() + poll_timeout_ms / 1000.0
+
+            while loop.time() < deadline:
+                try:
+                    status_resp = await self.poll_qrcode_status(qr_resp.qrcode)
+                except Exception as e:
+                    logger.error('Error polling QR status: %s', e)
+                    await asyncio.sleep(2)
+                    continue
+
+                if on_status:
+                    try:
+                        cb_result = on_status(status_resp.status or 'unknown')
+                        if asyncio.iscoroutine(cb_result) or asyncio.isfuture(cb_result):
+                            await cb_result
+                    except Exception as e:
+                        logger.warning('on_status callback error: %s', e)
+
+                if status_resp.status == 'confirmed' and status_resp.bot_token:
+                    new_base_url = status_resp.baseurl or self.base_url
+                    # Update this client instance as well
+                    self.token = status_resp.bot_token
+                    self.base_url = new_base_url.rstrip('/')
+                    return LoginResult(
+                        token=status_resp.bot_token,
+                        base_url=new_base_url,
+                        account_id=status_resp.ilink_bot_id or '',
+                        qr_image_base64=last_qr_base64,
+                    )
+
+                if status_resp.status == 'expired':
+                    break  # retry with a new QR code
+
+                await asyncio.sleep(1)
+            else:
+                # While-loop ended without break → poll timeout, treat as expired
+                pass
+
+            remaining = max_retries - attempt - 1
+            if remaining > 0:
+                logger.info('QR code expired, refreshing... (%d retries left)', remaining)
+            else:
+                raise ApiError('QR code login failed: max retries exceeded', status=0)
+
+        # Should not reach here, but just in case
+        raise ApiError('QR code login failed', status=0)
+
+
+# ---------------------------------------------------------------------------
+# Parsing helpers
+# ---------------------------------------------------------------------------
+
+
+def _parse_cdn_media(data: Optional[dict]) -> Optional[CDNMedia]:
+    if not data:
+        return None
+    return CDNMedia(
+        encrypt_query_param=data.get('encrypt_query_param'),
+        aes_key=data.get('aes_key'),
+        encrypt_type=data.get('encrypt_type'),
+    )
+
+
+def _parse_message_item(data: dict) -> MessageItem:
+    item = MessageItem(
+        type=data.get('type'),
+        create_time_ms=data.get('create_time_ms'),
+        update_time_ms=data.get('update_time_ms'),
+        is_completed=data.get('is_completed'),
+        msg_id=data.get('msg_id'),
+    )
+
+    if data.get('text_item'):
+        item.text_item = TextItem(text=data['text_item'].get('text'))
+
+    if data.get('image_item'):
+        img = data['image_item']
+        item.image_item = ImageItem(
+            media=_parse_cdn_media(img.get('media')),
+            thumb_media=_parse_cdn_media(img.get('thumb_media')),
+            aeskey=img.get('aeskey'),
+            url=img.get('url'),
+            mid_size=img.get('mid_size'),
+        )
+
+    if data.get('voice_item'):
+        v = data['voice_item']
+        item.voice_item = VoiceItem(
+            media=_parse_cdn_media(v.get('media')),
+            encode_type=v.get('encode_type'),
+            playtime=v.get('playtime'),
+            text=v.get('text'),
+        )
+
+    if data.get('file_item'):
+        f = data['file_item']
+        item.file_item = FileItem(
+            media=_parse_cdn_media(f.get('media')),
+            file_name=f.get('file_name'),
+            md5=f.get('md5'),
+            len=f.get('len'),
+        )
+
+    if data.get('video_item'):
+        vid = data['video_item']
+        item.video_item = VideoItem(
+            media=_parse_cdn_media(vid.get('media')),
+            video_size=vid.get('video_size'),
+            play_length=vid.get('play_length'),
+            video_md5=vid.get('video_md5'),
+            thumb_media=_parse_cdn_media(vid.get('thumb_media')),
+        )
+
+    if data.get('ref_msg'):
+        ref = data['ref_msg']
+        item.ref_msg = RefMessage(
+            title=ref.get('title'),
+            message_item=_parse_message_item(ref['message_item']) if ref.get('message_item') else None,
+        )
+
+    return item
+
+
+def _parse_weixin_message(data: dict) -> WeixinMessage:
+    msg = WeixinMessage(
+        seq=data.get('seq'),
+        message_id=data.get('message_id'),
+        from_user_id=data.get('from_user_id'),
+        to_user_id=data.get('to_user_id'),
+        client_id=data.get('client_id'),
+        create_time_ms=data.get('create_time_ms'),
+        session_id=data.get('session_id'),
+        group_id=data.get('group_id'),
+        message_type=data.get('message_type'),
+        message_state=data.get('message_state'),
+        context_token=data.get('context_token'),
+    )
+    if data.get('item_list'):
+        msg.item_list = [_parse_message_item(item) for item in data['item_list']]
+    return msg
+
+
+def _parse_get_updates_response(data: dict) -> GetUpdatesResponse:
+    resp = GetUpdatesResponse(
+        ret=data.get('ret'),
+        errcode=data.get('errcode'),
+        errmsg=data.get('errmsg'),
+        get_updates_buf=data.get('get_updates_buf'),
+        longpolling_timeout_ms=data.get('longpolling_timeout_ms'),
+    )
+    if data.get('msgs'):
+        resp.msgs = [_parse_weixin_message(m) for m in data['msgs']]
+    return resp
+
+
+def _cdn_media_to_dict(media: Optional[CDNMedia]) -> Optional[dict]:
+    if not media:
+        return None
+    d: dict = {}
+    if media.encrypt_query_param is not None:
+        d['encrypt_query_param'] = media.encrypt_query_param
+    if media.aes_key is not None:
+        d['aes_key'] = media.aes_key
+    if media.encrypt_type is not None:
+        d['encrypt_type'] = media.encrypt_type
+    return d or None
+
+
+def _message_item_to_dict(item: MessageItem) -> dict:
+    d: dict = {'type': item.type}
+
+    if item.text_item:
+        d['text_item'] = {'text': item.text_item.text}
+
+    if item.image_item:
+        img_d: dict = {}
+        if item.image_item.media:
+            img_d['media'] = _cdn_media_to_dict(item.image_item.media)
+        if item.image_item.mid_size is not None:
+            img_d['mid_size'] = item.image_item.mid_size
+        d['image_item'] = img_d
+
+    if item.voice_item:
+        voice_d: dict = {}
+        if item.voice_item.media:
+            voice_d['media'] = _cdn_media_to_dict(item.voice_item.media)
+        if item.voice_item.playtime is not None:
+            voice_d['playtime'] = item.voice_item.playtime
+        d['voice_item'] = voice_d
+
+    if item.file_item:
+        file_d: dict = {}
+        if item.file_item.media:
+            file_d['media'] = _cdn_media_to_dict(item.file_item.media)
+        if item.file_item.file_name:
+            file_d['file_name'] = item.file_item.file_name
+        if item.file_item.len:
+            file_d['len'] = item.file_item.len
+        d['file_item'] = file_d
+
+    if item.video_item:
+        vid_d: dict = {}
+        if item.video_item.media:
+            vid_d['media'] = _cdn_media_to_dict(item.video_item.media)
+        if item.video_item.video_size is not None:
+            vid_d['video_size'] = item.video_item.video_size
+        d['video_item'] = vid_d
+
+    return d

src/langbot/libs/openclaw_weixin_api/types.py

@@ -0,0 +1,200 @@
+"""Type definitions for the OpenClaw WeChat API, mirroring the upstream protocol."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any, Optional
+
+SESSION_EXPIRED_ERRCODE = -14
+
+
+class ApiError(Exception):
+    """Structured error raised by the OpenClaw WeChat API."""
+
+    def __init__(
+        self,
+        message: str,
+        *,
+        status: int = 0,
+        code: int | None = None,
+        payload: Any = None,
+    ):
+        super().__init__(message)
+        self.status = status
+        self.code = code
+        self.payload = payload
+
+    @property
+    def is_session_expired(self) -> bool:
+        return self.code == SESSION_EXPIRED_ERRCODE
+
+
+@dataclass
+class CDNMedia:
+    encrypt_query_param: Optional[str] = None
+    aes_key: Optional[str] = None
+    encrypt_type: Optional[int] = None
+
+
+@dataclass
+class TextItem:
+    text: Optional[str] = None
+
+
+@dataclass
+class ImageItem:
+    media: Optional[CDNMedia] = None
+    thumb_media: Optional[CDNMedia] = None
+    aeskey: Optional[str] = None
+    url: Optional[str] = None
+    mid_size: Optional[int] = None
+    thumb_size: Optional[int] = None
+    thumb_height: Optional[int] = None
+    thumb_width: Optional[int] = None
+    hd_size: Optional[int] = None
+    _downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
+
+
+@dataclass
+class VoiceItem:
+    media: Optional[CDNMedia] = None
+    encode_type: Optional[int] = None
+    bits_per_sample: Optional[int] = None
+    sample_rate: Optional[int] = None
+    playtime: Optional[int] = None
+    text: Optional[str] = None
+    _downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
+
+
+@dataclass
+class FileItem:
+    media: Optional[CDNMedia] = None
+    file_name: Optional[str] = None
+    md5: Optional[str] = None
+    len: Optional[str] = None
+    _downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
+
+
+@dataclass
+class VideoItem:
+    media: Optional[CDNMedia] = None
+    video_size: Optional[int] = None
+    play_length: Optional[int] = None
+    video_md5: Optional[str] = None
+    thumb_media: Optional[CDNMedia] = None
+    thumb_size: Optional[int] = None
+    thumb_height: Optional[int] = None
+    thumb_width: Optional[int] = None
+    _downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
+
+
+@dataclass
+class RefMessage:
+    message_item: Optional[MessageItem] = None
+    title: Optional[str] = None
+
+
+@dataclass
+class MessageItem:
+    """A single content item inside a WeixinMessage."""
+
+    # Item types
+    NONE = 0
+    TEXT = 1
+    IMAGE = 2
+    VOICE = 3
+    FILE = 4
+    VIDEO = 5
+
+    type: Optional[int] = None
+    create_time_ms: Optional[int] = None
+    update_time_ms: Optional[int] = None
+    is_completed: Optional[bool] = None
+    msg_id: Optional[str] = None
+    ref_msg: Optional[RefMessage] = None
+    text_item: Optional[TextItem] = None
+    image_item: Optional[ImageItem] = None
+    voice_item: Optional[VoiceItem] = None
+    file_item: Optional[FileItem] = None
+    video_item: Optional[VideoItem] = None
+
+
+@dataclass
+class WeixinMessage:
+    """Unified message from getUpdates or for sendMessage."""
+
+    # Message types
+    TYPE_USER = 1
+    TYPE_BOT = 2
+
+    # Message states
+    STATE_NEW = 0
+    STATE_GENERATING = 1
+    STATE_FINISH = 2
+
+    seq: Optional[int] = None
+    message_id: Optional[int] = None
+    from_user_id: Optional[str] = None
+    to_user_id: Optional[str] = None
+    client_id: Optional[str] = None
+    create_time_ms: Optional[int] = None
+    update_time_ms: Optional[int] = None
+    delete_time_ms: Optional[int] = None
+    session_id: Optional[str] = None
+    group_id: Optional[str] = None
+    message_type: Optional[int] = None
+    message_state: Optional[int] = None
+    item_list: Optional[list[MessageItem]] = None
+    context_token: Optional[str] = None
+
+
+@dataclass
+class GetUpdatesResponse:
+    ret: Optional[int] = None
+    errcode: Optional[int] = None
+    errmsg: Optional[str] = None
+    msgs: list[WeixinMessage] = field(default_factory=list)
+    get_updates_buf: Optional[str] = None
+    longpolling_timeout_ms: Optional[int] = None
+
+
+@dataclass
+class GetConfigResponse:
+    ret: Optional[int] = None
+    errmsg: Optional[str] = None
+    typing_ticket: Optional[str] = None
+
+
+@dataclass
+class GetUploadUrlResponse:
+    upload_param: Optional[str] = None
+    thumb_upload_param: Optional[str] = None
+
+
+@dataclass
+class QRCodeResponse:
+    """Response from get_bot_qrcode endpoint."""
+
+    qrcode: Optional[str] = None
+    qrcode_img_content: Optional[str] = None
+
+
+@dataclass
+class QRStatusResponse:
+    """Response from get_qrcode_status endpoint."""
+
+    status: Optional[str] = None  # "wait" | "scaned" | "confirmed" | "expired"
+    bot_token: Optional[str] = None
+    ilink_bot_id: Optional[str] = None
+    baseurl: Optional[str] = None
+    ilink_user_id: Optional[str] = None
+
+
+@dataclass
+class LoginResult:
+    """Result returned by the login flow."""
+
+    token: str
+    base_url: str
+    account_id: str
+    qr_image_base64: Optional[str] = None  # data URI of the last QR code shown

src/langbot/libs/qq_official_api/api.py

@@ -1,8 +1,10 @@
+import re
 import time
+import asyncio
 from quart import request
 import httpx
 from quart import Quart
-from typing import Callable, Dict, Any
+from typing import Callable, Dict, Any, Optional
 import langbot_plugin.api.entities.builtin.platform.events as platform_events
 from .qqofficialevent import QQOfficialEvent
 import json
@@ -32,6 +34,8 @@ class QQOfficialClient:
         self.access_token = ''
         self.access_token_expiry_time = None
         self.logger = logger
+        self._msg_seq_counter = 0
+        self._token_refresh_task: Optional[asyncio.Task] = None
 
     async def check_access_token(self):
         """检查access_token是否存在"""
@@ -50,18 +54,18 @@ class QQOfficialClient:
             headers = {
                 'content-type': 'application/json',
             }
-            try:
-                response = await client.post(url, json=params, headers=headers)
-                if response.status_code == 200:
-                    response_data = response.json()
-                access_token = response_data.get('access_token')
-                expires_in = int(response_data.get('expires_in', 7200))
-                self.access_token_expiry_time = time.time() + expires_in - 60
-                if access_token:
-                    self.access_token = access_token
-            except Exception as e:
-                await self.logger.error(f'获取access_token失败: {response_data}')
-                raise Exception(f'获取access_token失败: {e}')
+            response = await client.post(url, json=params, headers=headers)
+            if response.status_code != 200:
+                raise Exception(f'Failed to get access_token: HTTP {response.status_code} {response.text}')
+            response_data = response.json()
+            access_token = response_data.get('access_token')
+            expires_in = int(response_data.get('expires_in', 7200))
+            self.access_token_expiry_time = time.time() + expires_in - 60
+            if access_token:
+                self.access_token = access_token
+                await self.logger.info(f'access_token obtained, expires_in={expires_in}s')
+            else:
+                raise Exception('Failed to get access_token: no access_token in response')
 
     async def handle_callback_request(self):
         """处理回调请求（独立端口模式，使用全局 request）"""
@@ -87,10 +91,10 @@ class QQOfficialClient:
         try:
             body = await req.get_data()
 
-            print(f'[QQ Official] Received request, body length: {len(body)}')
+            await self.logger.info(f'Received request, body length: {len(body)}')
 
             if not body or len(body) == 0:
-                print('[QQ Official] Received empty body, might be health check or GET request')
+                await self.logger.info('Received empty body, might be health check or GET request')
                 return {'code': 0, 'message': 'ok'}, 200
 
             payload = json.loads(body)
@@ -111,7 +115,6 @@ class QQOfficialClient:
             return {'code': 0, 'message': 'success'}
 
         except Exception as e:
-            print(f'[QQ Official] ERROR: {traceback.format_exc()}')
             await self.logger.error(f'Error in handle_callback_request: {traceback.format_exc()}')
             return {'error': str(e)}, 400
 
@@ -139,21 +142,24 @@ class QQOfficialClient:
 
     async def get_message(self, msg: dict) -> Dict[str, Any]:
         """获取消息"""
+        d = msg.get('d', {})
+        if not isinstance(d, dict):
+            return {}
         message_data = {
             't': msg.get('t', {}),
-            'user_openid': msg.get('d', {}).get('author', {}).get('user_openid', {}),
-            'timestamp': msg.get('d', {}).get('timestamp', {}),
-            'd_author_id': msg.get('d', {}).get('author', {}).get('id', {}),
-            'content': msg.get('d', {}).get('content', {}),
-            'd_id': msg.get('d', {}).get('id', {}),
+            'user_openid': d.get('author', {}).get('user_openid', {}),
+            'timestamp': d.get('timestamp', {}),
+            'd_author_id': d.get('author', {}).get('id', {}),
+            'content': d.get('content', {}),
+            'd_id': d.get('id', {}),
             'id': msg.get('id', {}),
-            'channel_id': msg.get('d', {}).get('channel_id', {}),
-            'username': msg.get('d', {}).get('author', {}).get('username', {}),
-            'guild_id': msg.get('d', {}).get('guild_id', {}),
-            'member_openid': msg.get('d', {}).get('author', {}).get('openid', {}),
-            'group_openid': msg.get('d', {}).get('group_openid', {}),
+            'channel_id': d.get('channel_id', {}),
+            'username': d.get('author', {}).get('username', {}),
+            'guild_id': d.get('guild_id', {}),
+            'member_openid': d.get('author', {}).get('openid', {}),
+            'group_openid': d.get('group_openid', {}),
         }
-        attachments = msg.get('d', {}).get('attachments', [])
+        attachments = d.get('attachments', [])
         image_attachments = [attachment['url'] for attachment in attachments if await self.is_image(attachment)]
         image_attachments_type = [
             attachment['content_type'] for attachment in attachments if await self.is_image(attachment)
@@ -192,7 +198,7 @@ class QQOfficialClient:
             if response.status_code == 200:
                 return
             else:
-                await self.logger.error(f'发送私聊消息失败: {response_data}')
+                await self.logger.error(f'Failed to send private message: {response_data}')
                 raise ValueError(response)
 
     async def send_group_text_msg(self, group_openid: str, content: str, msg_id: str):
@@ -215,7 +221,7 @@ class QQOfficialClient:
             if response.status_code == 200:
                 return
             else:
-                await self.logger.error(f'发送群聊消息失败:{response.json()}')
+                await self.logger.error(f'Failed to send group message: {response.json()}')
                 raise Exception(response.read().decode())
 
     async def send_channle_group_text_msg(self, channel_id: str, content: str, msg_id: str):
@@ -238,7 +244,7 @@ class QQOfficialClient:
             if response.status_code == 200:
                 return True
             else:
-                await self.logger.error(f'发送频道群聊消息失败: {response.json()}')
+                await self.logger.error(f'Failed to send channel group message: {response.json()}')
                 raise Exception(response)
 
     async def send_channle_private_text_msg(self, guild_id: str, content: str, msg_id: str):
@@ -261,9 +267,224 @@ class QQOfficialClient:
             if response.status_code == 200:
                 return True
             else:
-                await self.logger.error(f'发送频道私聊消息失败: {response.json()}')
+                await self.logger.error(f'Failed to send channel private message: {response.json()}')
                 raise Exception(response)
 
+    # ---- 富媒体消息 ----
+
+    # 媒体文件类型
+    MEDIA_TYPE_IMAGE = 1
+    MEDIA_TYPE_VIDEO = 2
+    MEDIA_TYPE_VOICE = 3
+    MEDIA_TYPE_FILE = 4
+
+    async def upload_media(
+        self,
+        target_type: str,
+        target_id: str,
+        file_type: int,
+        file_url: str = None,
+        file_data: str = None,
+        file_name: str = None,
+    ) -> str:
+        """上传媒体文件，返回 file_info。
+
+        Args:
+            target_type: 'c2c' | 'group'
+            target_id: 用户 openid 或群 openid
+            file_type: 1=图片, 2=视频, 3=语音, 4=文件
+            file_url: 在线 URL（与 file_data 二选一）
+            file_data: base64 编码的文件数据或 data URL（与 file_url 二选一）
+            file_name: 文件名（file_type=4 时必填）
+        """
+        if not await self.check_access_token():
+            await self.get_access_token()
+
+        if target_type == 'c2c':
+            url = f'{self.base_url}/v2/users/{target_id}/files'
+        elif target_type == 'group':
+            url = f'{self.base_url}/v2/groups/{target_id}/files'
+        else:
+            raise ValueError(f'Unsupported target_type: {target_type}')
+
+        body = {
+            'file_type': file_type,
+            'srv_send_msg': False,
+        }
+        if file_url:
+            body['url'] = file_url
+        elif file_data:
+            # 处理 data URL 格式: data:image/png;base64,xxxxx
+            if file_data.startswith('data:'):
+                match = re.match(r'^data:[^;]+;base64,(.+)$', file_data, re.DOTALL)
+                if match:
+                    body['file_data'] = match.group(1)
+                else:
+                    body['file_data'] = file_data
+            else:
+                body['file_data'] = file_data
+        else:
+            raise ValueError('file_url or file_data is required')
+
+        if file_type == self.MEDIA_TYPE_FILE and file_name:
+            body['file_name'] = file_name
+
+        async with httpx.AsyncClient(timeout=120) as client:
+            headers = {
+                'Authorization': f'QQBot {self.access_token}',
+                'Content-Type': 'application/json',
+            }
+            response = await client.post(url, headers=headers, json=body)
+            if response.status_code == 200:
+                data = response.json()
+                file_info = data.get('file_info', '')
+                preview = file_info[:80] + '...' if len(file_info) > 80 else file_info
+                await self.logger.info(f'Upload media success, file_info={preview}')
+                return file_info
+            else:
+                raise Exception(f'Failed to upload media: HTTP {response.status_code} {response.text}')
+
+    async def _send_media_msg(
+        self,
+        target_type: str,
+        target_id: str,
+        file_info: str,
+        msg_id: str = None,
+        content: str = None,
+    ):
+        """发送富媒体消息（msg_type=7）"""
+        if not await self.check_access_token():
+            await self.get_access_token()
+
+        if target_type == 'c2c':
+            url = f'{self.base_url}/v2/users/{target_id}/messages'
+        elif target_type == 'group':
+            url = f'{self.base_url}/v2/groups/{target_id}/messages'
+        else:
+            raise ValueError(f'Unsupported target_type: {target_type}')
+
+        self._msg_seq_counter += 1
+        msg_seq = self._msg_seq_counter
+        body = {
+            'msg_type': 7,
+            'media': {'file_info': file_info},
+            'msg_seq': msg_seq,
+        }
+        if content:
+            body['content'] = content
+        if msg_id:
+            body['msg_id'] = msg_id
+
+        async with httpx.AsyncClient(timeout=120) as client:
+            headers = {
+                'Authorization': f'QQBot {self.access_token}',
+                'Content-Type': 'application/json',
+            }
+            await self.logger.info(f'Sending rich media: {json.dumps(body, ensure_ascii=False)[:200]}')
+            response = await client.post(url, headers=headers, json=body)
+            if response.status_code != 200:
+                raise Exception(f'Failed to send rich media message: HTTP {response.status_code} {response.text}')
+
+    async def send_image_msg(
+        self,
+        target_type: str,
+        target_id: str,
+        file_url: str = None,
+        file_data: str = None,
+        msg_id: str = None,
+        content: str = None,
+    ):
+        """发送图片消息"""
+        file_info = await self.upload_media(
+            target_type,
+            target_id,
+            self.MEDIA_TYPE_IMAGE,
+            file_url=file_url,
+            file_data=file_data,
+        )
+        await self._send_media_msg(target_type, target_id, file_info, msg_id, content)
+
+    async def send_voice_msg(
+        self,
+        target_type: str,
+        target_id: str,
+        file_url: str = None,
+        file_data: str = None,
+        msg_id: str = None,
+    ):
+        """发送语音消息"""
+        file_info = await self.upload_media(
+            target_type,
+            target_id,
+            self.MEDIA_TYPE_VOICE,
+            file_url=file_url,
+            file_data=file_data,
+        )
+        await self._send_media_msg(target_type, target_id, file_info, msg_id)
+
+    async def send_file_msg(
+        self,
+        target_type: str,
+        target_id: str,
+        file_url: str = None,
+        file_data: str = None,
+        file_name: str = None,
+        msg_id: str = None,
+    ):
+        """发送文件消息（含视频）"""
+        file_info = await self.upload_media(
+            target_type,
+            target_id,
+            self.MEDIA_TYPE_FILE,
+            file_url=file_url,
+            file_data=file_data,
+            file_name=file_name,
+        )
+        await self._send_media_msg(target_type, target_id, file_info, msg_id)
+
+    async def send_stream_msg(
+        self,
+        user_openid: str,
+        content: str,
+        event_id: str,
+        msg_id: str,
+        msg_seq: int = 1,
+        index: int = 0,
+        stream_msg_id: str = None,
+        input_state: int = 1,
+    ):
+        """发送流式消息（C2C 私聊）。
+
+        Args:
+            input_state: 1=生成中, 10=生成结束
+        """
+        if not await self.check_access_token():
+            await self.get_access_token()
+
+        url = f'{self.base_url}/v2/users/{user_openid}/stream_messages'
+        body = {
+            'input_mode': 'replace',
+            'input_state': input_state,
+            'content_type': 'markdown',
+            'content_raw': content,
+            'event_id': event_id,
+            'msg_id': msg_id,
+            'msg_seq': msg_seq,
+            'index': index,
+        }
+        if stream_msg_id:
+            body['stream_msg_id'] = stream_msg_id
+
+        async with httpx.AsyncClient(timeout=120) as client:
+            headers = {
+                'Authorization': f'QQBot {self.access_token}',
+                'Content-Type': 'application/json',
+            }
+            response = await client.post(url, headers=headers, json=body)
+            if response.status_code != 200:
+                raise Exception(f'Failed to send stream message: HTTP {response.status_code} {response.text}')
+            return response.json()
+
     async def is_token_expired(self):
         """检查token是否过期"""
         if self.access_token_expiry_time is None:
@@ -292,3 +513,325 @@ class QQOfficialClient:
             'signature': signature,
         }
         return response
+
+    # ---- WebSocket Gateway ----
+    # Reference: https://bot.q.qq.com/wiki/develop/api-v2/dev-prepare/interface-framework/event-emit.html
+
+    INTENT_GUILDS = 1 << 0
+    INTENT_GUILD_MEMBERS = 1 << 1
+    INTENT_PUBLIC_GUILD_MESSAGES = 1 << 30
+    INTENT_DIRECT_MESSAGE = 1 << 12
+    INTENT_GROUP_AND_C2C = 1 << 25
+    INTENT_INTERACTION = 1 << 26
+
+    FULL_INTENTS = (
+        INTENT_GUILDS
+        | INTENT_GUILD_MEMBERS
+        | INTENT_PUBLIC_GUILD_MESSAGES
+        | INTENT_DIRECT_MESSAGE
+        | INTENT_GROUP_AND_C2C
+        | INTENT_INTERACTION
+    )
+
+    async def get_gateway_url(self) -> str:
+        """获取 WebSocket 网关地址"""
+        if not await self.check_access_token():
+            await self.get_access_token()
+
+        url = f'{self.base_url}/gateway'
+        async with httpx.AsyncClient() as client:
+            headers = {
+                'Authorization': f'QQBot {self.access_token}',
+            }
+            response = await client.get(url, headers=headers)
+            if response.status_code == 200:
+                data = response.json()
+                ws_url = data.get('url', '')
+                if not ws_url:
+                    raise Exception('Gateway URL is empty')
+                return ws_url
+            else:
+                raise Exception(f'Failed to get Gateway URL: HTTP {response.status_code} {response.text}')
+
+    async def _background_token_refresh(self):
+        """在 token 到期前主动刷新"""
+        try:
+            while True:
+                if self.access_token_expiry_time:
+                    remain = self.access_token_expiry_time - time.time()
+                    if remain > 120:
+                        await asyncio.sleep(remain - 60)
+                        continue
+                self.access_token = ''
+                self.access_token_expiry_time = None
+                if await self.check_access_token():
+                    await asyncio.sleep(60)
+                else:
+                    await self.get_access_token()
+                    await asyncio.sleep(60)
+        except asyncio.CancelledError:
+            pass
+
+    async def connect_gateway(
+        self,
+        on_event: Callable[[str, dict], Any],
+        on_ready: Optional[Callable[[], Any]] = None,
+        on_error: Optional[Callable[[Exception], Any]] = None,
+    ):
+        """WebSocket 网关连接，含重连逻辑。持续重连直到达到最大次数或被取消。
+
+        Args:
+            on_event: 收到 op=0 Dispatch 事件时的回调，参数为 (event_type, event_data)
+            on_ready: 连接就绪 (收到 READY) 时的回调
+            on_error: 发生错误时的回调
+        """
+        import websockets
+
+        session_id = ''
+        last_seq = 0
+        reconnect_attempts = 0
+        max_reconnect_attempts = 100
+        backoff_delays = [1, 2, 5, 10, 30, 60]
+        rate_limit_delay = 60
+
+        # Cancel previous token refresh task if any
+        if self._token_refresh_task and not self._token_refresh_task.done():
+            self._token_refresh_task.cancel()
+            try:
+                await self._token_refresh_task
+            except asyncio.CancelledError:
+                pass
+            self._token_refresh_task = None
+
+        while reconnect_attempts <= max_reconnect_attempts:
+            heartbeat_interval = 45000
+            should_refresh_token = False
+            ws = None
+            heartbeat_task = None
+
+            # Refresh token if needed
+            if should_refresh_token:
+                self.access_token = ''
+                self.access_token_expiry_time = None
+
+            try:
+                ws_url = await self.get_gateway_url()
+                await self.logger.info(f'Gateway URL obtained: {ws_url[:60]}...')
+            except Exception as e:
+                error_msg = str(e)
+                await self.logger.error(f'Failed to get gateway URL: {e}')
+                reconnect_attempts += 1
+                if '100017' in error_msg or '频率' in error_msg or 'Too many' in error_msg:
+                    delay = rate_limit_delay
+                else:
+                    delay = backoff_delays[min(reconnect_attempts - 1, len(backoff_delays) - 1)]
+                await self.logger.info(f'Reconnecting in {delay}s (attempt {reconnect_attempts})')
+                await asyncio.sleep(delay)
+                continue
+
+            try:
+                await self.logger.info('Connecting to WebSocket gateway...')
+                ws = await websockets.connect(ws_url)
+                await self.logger.info('WebSocket connected')
+            except Exception as e:
+                await self.logger.error(f'WebSocket connection failed: {e}')
+                reconnect_attempts += 1
+                delay = backoff_delays[min(reconnect_attempts - 1, len(backoff_delays) - 1)]
+                await self.logger.info(f'Reconnecting in {delay}s (attempt {reconnect_attempts})')
+                await asyncio.sleep(delay)
+                continue
+
+            try:
+                async for raw_msg in ws:
+                    try:
+                        payload = json.loads(raw_msg)
+                    except json.JSONDecodeError:
+                        await self.logger.error(f'Failed to parse message: {raw_msg}')
+                        continue
+
+                    op = payload.get('op')
+                    d = payload.get('d', {})
+                    s = payload.get('s')
+                    t = payload.get('t')
+
+                    if not isinstance(d, dict):
+                        d = {}
+
+                    if op == 10:  # Hello
+                        heartbeat_interval = d.get('heartbeat_interval', 45000)
+                        await self.logger.info(f'Received Hello, heartbeat_interval={heartbeat_interval}ms')
+
+                        # Send Identify or Resume
+                        if session_id and last_seq > 0:
+                            resume_payload = {
+                                'op': 6,
+                                'd': {
+                                    'token': f'QQBot {self.access_token}',
+                                    'session_id': session_id,
+                                    'seq': last_seq,
+                                },
+                            }
+                            await ws.send(json.dumps(resume_payload))
+                            await self.logger.info(f'Sent Resume, session_id={session_id}, seq={last_seq}')
+                        else:
+                            identify_payload = {
+                                'op': 2,
+                                'd': {
+                                    'token': f'QQBot {self.access_token}',
+                                    'intents': self.FULL_INTENTS,
+                                    'shard': [0, 1],
+                                },
+                            }
+                            await ws.send(json.dumps(identify_payload))
+                            await self.logger.info(f'Sent Identify, intents={self.FULL_INTENTS}')
+
+                        # Start heartbeat
+                        async def _heartbeat_loop(conn, interval_ms):
+                            interval_sec = interval_ms / 1000.0
+                            try:
+                                while True:
+                                    await asyncio.sleep(interval_sec)
+                                    try:
+                                        hb_payload = {'op': 1, 'd': last_seq}
+                                        await conn.send(json.dumps(hb_payload))
+                                    except Exception:
+                                        break
+                            except asyncio.CancelledError:
+                                pass
+
+                        heartbeat_task = asyncio.create_task(_heartbeat_loop(ws, heartbeat_interval))
+
+                    elif op == 0:  # Dispatch
+                        if s is not None:
+                            last_seq = s
+
+                        if t == 'READY':
+                            session_id = d.get('session_id', '')
+                            reconnect_attempts = 0
+                            await self.logger.info(f'READY, session_id={session_id}')
+                            if on_ready:
+                                try:
+                                    result = on_ready()
+                                    if asyncio.iscoroutine(result):
+                                        await result
+                                except Exception:
+                                    pass
+                            # Track token refresh task to avoid leaks
+                            if self._token_refresh_task and not self._token_refresh_task.done():
+                                self._token_refresh_task.cancel()
+                                try:
+                                    await self._token_refresh_task
+                                except asyncio.CancelledError:
+                                    pass
+                            self._token_refresh_task = asyncio.create_task(self._background_token_refresh())
+
+                        elif t == 'RESUMED':
+                            reconnect_attempts = 0
+                            await self.logger.info('RESUMED')
+
+                        else:
+                            await self.logger.debug(f'Received event: {t}, seq={s}')
+                            if on_event:
+                                try:
+                                    result = on_event(t, d)
+                                    if asyncio.iscoroutine(result):
+                                        await result
+                                except Exception:
+                                    await self.logger.error(f'Error handling event {t}: {traceback.format_exc()}')
+
+                    elif op == 11:  # Heartbeat ACK
+                        pass
+
+                    elif op == 7:  # Reconnect
+                        await self.logger.info('Received Reconnect directive')
+                        break
+
+                    elif op == 9:  # Invalid Session
+                        can_resume = d.get('can_resume', False)
+                        await self.logger.warning(f'Invalid Session, can_resume={can_resume}')
+                        if not can_resume:
+                            session_id = ''
+                            last_seq = 0
+                            should_refresh_token = True
+                        break
+
+                # Connection closed normally (end of async for)
+                try:
+                    close_code = ws.close_code
+                    close_reason = ws.close_reason or ''
+                except Exception:
+                    close_code = None
+                    close_reason = ''
+                await self.logger.info(f'Connection closed, code={close_code}, reason={close_reason}')
+
+                if close_code == 4004:
+                    should_refresh_token = True
+                elif close_code in (4006, 4007, 4009):
+                    session_id = ''
+                    last_seq = 0
+                    should_refresh_token = True
+                elif close_code == 4008:
+                    reconnect_attempts += 1
+                    delay = rate_limit_delay
+                    await self.logger.info(
+                        f'Rate limited, waiting {delay}s before reconnect (attempt {reconnect_attempts})'
+                    )
+                    await asyncio.sleep(delay)
+                    continue
+                elif close_code in (4914, 4915):
+                    err = Exception(f'Bot disconnected/banned (close_code={close_code})')
+                    if on_error:
+                        await self._safe_callback(on_error, err)
+                    return
+                elif close_code in (4900, 4901, 4902, 4903, 4904, 4905, 4906, 4907, 4908, 4909, 4910, 4911, 4912, 4913):
+                    session_id = ''
+                    last_seq = 0
+
+                if close_code == 1000:
+                    return
+
+            except asyncio.CancelledError:
+                raise
+            except Exception:
+                await self.logger.error(f'Unexpected error in WebSocket loop: {traceback.format_exc()}')
+            finally:
+                if heartbeat_task:
+                    heartbeat_task.cancel()
+                    try:
+                        await heartbeat_task
+                    except asyncio.CancelledError:
+                        pass
+                if ws:
+                    try:
+                        await ws.close()
+                    except Exception:
+                        pass
+
+            # If we reach here, we need to reconnect
+            reconnect_attempts += 1
+            if reconnect_attempts > max_reconnect_attempts:
+                await self.logger.error(f'Max reconnect attempts ({max_reconnect_attempts}) reached, stopping')
+                if on_error:
+                    await self._safe_callback(on_error, Exception('Max reconnect attempts reached'))
+                return
+            delay = backoff_delays[min(reconnect_attempts - 1, len(backoff_delays) - 1)]
+            await self.logger.info(f'Reconnecting in {delay}s (attempt {reconnect_attempts})')
+            await asyncio.sleep(delay)
+
+    async def _safe_callback(self, callback, *args):
+        """Safely invoke a callback, handling both sync and async functions."""
+        try:
+            result = callback(*args)
+            if asyncio.iscoroutine(result):
+                await result
+        except Exception:
+            pass
+
+    async def connect_gateway_loop(
+        self,
+        on_event: Callable[[str, dict], Any],
+        on_ready: Optional[Callable[[], Any]] = None,
+        on_error: Optional[Callable[[Exception], Any]] = None,
+    ):
+        """持续重连的网关循环。"""
+        await self.connect_gateway(on_event, on_ready, on_error)

src/langbot/libs/wecom_ai_bot_api/api.py

@@ -6,7 +6,8 @@ import traceback
 import uuid
 import xml.etree.ElementTree as ET
 from dataclasses import dataclass, field
-from typing import Any, Callable, Optional
+import re
+from typing import Any, Callable, Optional, Tuple
 from urllib.parse import unquote
 
 import httpx
@@ -63,16 +64,25 @@ class StreamSession:
     # 缓存最近一次片段，处理重试或超时兜底
     last_chunk: Optional[StreamChunk] = None
 
+    # 反馈 ID，用于接收用户点赞/点踩反馈
+    feedback_id: Optional[str] = None
+
 
 class StreamSessionManager:
     """管理 stream 会话的生命周期，并负责队列的生产消费。"""
 
+    # Sessions with registered feedback_ids use a longer TTL to survive the
+    # full like → cancel → dislike feedback flow. Must align with the adapter's
+    # _stream_to_monitoring_msg TTL (wecombot.py).
+    _FEEDBACK_SESSION_TTL = 600  # 10 minutes
+
     def __init__(self, logger: EventLogger, ttl: int = 60) -> None:
         self.logger = logger
 
         self.ttl = ttl  # 超时时间（秒），超过该时间未被访问的会话会被清理由 cleanup
         self._sessions: dict[str, StreamSession] = {}  # stream_id -> StreamSession 映射
         self._msg_index: dict[str, str] = {}  # msgid -> stream_id 映射，便于流水线根据消息 ID 找到会话
+        self._feedback_index: dict[str, str] = {}  # feedback_id -> stream_id 映射
 
     def get_stream_id_by_msg(self, msg_id: str) -> Optional[str]:
         if not msg_id:
@@ -82,6 +92,32 @@ class StreamSessionManager:
     def get_session(self, stream_id: str) -> Optional[StreamSession]:
         return self._sessions.get(stream_id)
 
+    def get_session_by_feedback_id(self, feedback_id: str) -> Optional[StreamSession]:
+        """根据 feedback_id 查找会话。
+
+        Args:
+            feedback_id: 企业微信反馈事件中的反馈 ID。
+
+        Returns:
+            Optional[StreamSession]: 找到的会话实例，未找到返回 None。
+        """
+        if not feedback_id:
+            return None
+        stream_id = self._feedback_index.get(feedback_id)
+        if stream_id:
+            return self._sessions.get(stream_id)
+        return None
+
+    def register_feedback_id(self, stream_id: str, feedback_id: str) -> None:
+        """注册 feedback_id 与 stream_id 的映射。
+
+        Args:
+            stream_id: 企业微信流式会话 ID。
+            feedback_id: 反馈 ID。
+        """
+        if feedback_id and stream_id:
+            self._feedback_index[feedback_id] = stream_id
+
     def create_or_get(self, msg_json: dict[str, Any]) -> tuple[StreamSession, bool]:
         """根据企业微信回调创建或获取会话。
 
@@ -183,11 +219,17 @@ class StreamSessionManager:
             session.last_access = time.time()
 
     def cleanup(self) -> None:
-        """定期清理过期会话，防止队列与映射无上限累积。"""
+        """定期清理过期会话，防止队列与映射无上限累积。
+
+        已注册 feedback_id 的会话使用更长的 TTL，确保用户在点赞/取消/点踩流程中
+        不会因为 session 被提前清除而丢失上下文信息。
+        """
         now = time.time()
         expired: list[str] = []
         for stream_id, session in self._sessions.items():
-            if now - session.last_access > self.ttl:
+            # Sessions with registered feedback_ids use a longer TTL
+            effective_ttl = self._FEEDBACK_SESSION_TTL if session.feedback_id else self.ttl
+            if now - session.last_access > effective_ttl:
                 expired.append(stream_id)
 
         for stream_id in expired:
@@ -197,6 +239,488 @@ class StreamSessionManager:
             msg_id = session.msg_id
             if msg_id and self._msg_index.get(msg_id) == stream_id:
                 self._msg_index.pop(msg_id, None)
+            # Clean up feedback index for expired sessions
+            if session.feedback_id:
+                self._feedback_index.pop(session.feedback_id, None)
+
+
+def _decrypt_file(encrypted_data: bytes, aes_key_str: str) -> bytes:
+    """Decrypt AES-256-CBC encrypted file data.
+
+    Aligned with the official WeCom AI Bot Python SDK (crypto_utils.py).
+
+    Args:
+        encrypted_data: The raw encrypted bytes.
+        aes_key_str: Base64-encoded AES key (may lack padding).
+
+    Returns:
+        Decrypted bytes with PKCS#7 padding removed.
+    """
+    if not encrypted_data:
+        raise ValueError('encrypted_data is empty')
+    if not aes_key_str:
+        raise ValueError('aes_key is empty')
+
+    # Python's base64.b64decode requires proper padding (length % 4 == 0).
+    # Node.js Buffer.from tolerates missing '=', so we must pad manually.
+    remainder = len(aes_key_str) % 4
+    if remainder != 0:
+        aes_key_str = aes_key_str + '=' * (4 - remainder)
+    key = base64.b64decode(aes_key_str)
+
+    iv = key[:16]
+
+    cipher = AES.new(key, AES.MODE_CBC, iv)
+
+    # Ensure encrypted data is aligned to AES block size (16 bytes).
+    # Node.js setAutoPadding(false) silently handles unaligned data,
+    # but PyCryptodome will raise an error.
+    block_size = 16
+    data_remainder = len(encrypted_data) % block_size
+    if data_remainder != 0:
+        encrypted_data = encrypted_data + b'\x00' * (block_size - data_remainder)
+
+    decrypted = cipher.decrypt(encrypted_data)
+
+    # Remove PKCS#7 padding with validation
+    if len(decrypted) == 0:
+        raise ValueError('Decrypted data is empty')
+
+    pad_len = decrypted[-1]
+    if pad_len < 1 or pad_len > 32 or pad_len > len(decrypted):
+        raise ValueError(f'Invalid PKCS#7 padding value: {pad_len}')
+
+    # Verify all padding bytes are consistent
+    for i in range(len(decrypted) - pad_len, len(decrypted)):
+        if decrypted[i] != pad_len:
+            raise ValueError('Invalid PKCS#7 padding: padding bytes mismatch')
+
+    return decrypted[: len(decrypted) - pad_len]
+
+
+def _extract_filename(content_disposition: str) -> Optional[str]:
+    """Extract filename from a Content-Disposition header value."""
+    if not content_disposition:
+        return None
+    # RFC 5987: filename*=UTF-8''xxx
+    utf8_match = re.search(r"filename\*=UTF-8''([^;\s]+)", content_disposition, re.IGNORECASE)
+    if utf8_match:
+        return unquote(utf8_match.group(1))
+    # Standard: filename="xxx" or filename=xxx
+    match = re.search(r'filename="?([^";\s]+)"?', content_disposition, re.IGNORECASE)
+    if match:
+        return unquote(match.group(1))
+    return None
+
+
+def _bytes_to_data_uri(data: bytes) -> str:
+    """Convert raw bytes to a data URI with auto-detected MIME type."""
+    if data.startswith(b'\xff\xd8'):
+        mime_type = 'image/jpeg'
+    elif data.startswith(b'\x89PNG'):
+        mime_type = 'image/png'
+    elif data.startswith((b'GIF87a', b'GIF89a')):
+        mime_type = 'image/gif'
+    elif data.startswith(b'BM'):
+        mime_type = 'image/bmp'
+    elif data.startswith(b'II*\x00') or data.startswith(b'MM\x00*'):
+        mime_type = 'image/tiff'
+    elif data[:4] == b'%PDF':
+        mime_type = 'application/pdf'
+    elif data[:4] == b'PK\x03\x04':
+        mime_type = 'application/zip'
+    else:
+        mime_type = 'application/octet-stream'
+
+    base64_str = base64.b64encode(data).decode('utf-8')
+    return f'data:{mime_type};base64,{base64_str}'
+
+
+async def download_encrypted_file(
+    download_url: str, aes_key: str, logger: EventLogger
+) -> Tuple[Optional[bytes], Optional[str]]:
+    """Download an AES-encrypted file from WeChat Work and decrypt it.
+
+    Args:
+        download_url: The encrypted file download URL.
+        aes_key: The AES key for decryption (base64-encoded, per-message aeskey
+                 or platform EncodingAESKey).
+        logger: Logger instance.
+
+    Returns:
+        A tuple of (decrypted_bytes, filename) or (None, None) on failure.
+    """
+    if not download_url:
+        return None, None
+    if not aes_key:
+        await logger.error('download_encrypted_file: aes_key is empty, cannot decrypt')
+        return None, None
+
+    filename: Optional[str] = None
+    try:
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.get(download_url)
+            if response.status_code != 200:
+                await logger.error(f'Failed to download file (HTTP {response.status_code}): {response.text[:200]}')
+                return None, None
+            encrypted_bytes = response.content
+            filename = _extract_filename(response.headers.get('content-disposition', ''))
+    except Exception:
+        await logger.error(f'Failed to download file: {traceback.format_exc()}')
+        return None, None
+
+    try:
+        decrypted = _decrypt_file(encrypted_bytes, aes_key)
+        return decrypted, filename
+    except Exception:
+        await logger.error(f'Failed to decrypt file: {traceback.format_exc()}')
+        return None, None
+
+
+async def parse_wecom_bot_message(
+    msg_json: dict[str, Any], encoding_aes_key: str, logger: EventLogger
+) -> dict[str, Any]:
+    """Parse a decrypted WeChat Work AI Bot message JSON into a unified message dict.
+
+    This is the shared message parsing logic used by both webhook and WebSocket modes.
+
+    Args:
+        msg_json: The decrypted message JSON from WeChat Work.
+        encoding_aes_key: AES key for file decryption.
+        logger: Logger instance.
+
+    Returns:
+        A dict suitable for constructing a WecomBotEvent.
+    """
+    message_data: dict[str, Any] = {}
+
+    msg_type = msg_json.get('msgtype', '')
+    if msg_type:
+        message_data['msgtype'] = msg_type
+
+    if msg_json.get('chattype', '') == 'single':
+        message_data['type'] = 'single'
+    elif msg_json.get('chattype', '') == 'group':
+        message_data['type'] = 'group'
+
+    max_inline_file_size = 5 * 1024 * 1024
+
+    async def _safe_download(url: str, per_msg_aeskey: str = '') -> Tuple[Optional[bytes], Optional[str]]:
+        """Download and decrypt a file, preferring per-message aeskey over platform key."""
+        if not url:
+            return None, None
+        key = per_msg_aeskey or encoding_aes_key
+        if not key:
+            await logger.warning('No AES key available for file decryption, skipping download')
+            return None, None
+        return await download_encrypted_file(url, key, logger)
+
+    async def _safe_download_as_data_uri(url: str, per_msg_aeskey: str = '') -> Optional[str]:
+        """Download, decrypt, and convert to data URI for backward compatibility."""
+        data, _filename = await _safe_download(url, per_msg_aeskey)
+        if data:
+            return _bytes_to_data_uri(data)
+        return None
+
+    if msg_type == 'text':
+        message_data['content'] = msg_json.get('text', {}).get('content')
+    elif msg_type == 'markdown':
+        message_data['content'] = msg_json.get('markdown', {}).get('content') or msg_json.get('text', {}).get(
+            'content', ''
+        )
+    elif msg_type == 'image':
+        image_info = msg_json.get('image', {})
+        picurl = image_info.get('url', '')
+        per_msg_aeskey = image_info.get('aeskey', '')
+        base64_data = await _safe_download_as_data_uri(picurl, per_msg_aeskey)
+        if base64_data:
+            message_data['picurl'] = base64_data
+            message_data['images'] = [base64_data]
+    elif msg_type == 'voice':
+        voice_info = msg_json.get('voice', {}) or {}
+        download_url = voice_info.get('url')
+        per_msg_aeskey = voice_info.get('aeskey', '')
+        message_data['voice'] = {
+            'url': download_url,
+            'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
+            'filesize': voice_info.get('filesize') or voice_info.get('size'),
+            'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
+        }
+        if voice_info.get('content'):
+            message_data['content'] = voice_info.get('content')
+        # if (message_data['voice'].get('filesize') or 0) <= max_inline_file_size:
+        #     voice_base64 = await _safe_download_as_data_uri(download_url, per_msg_aeskey)
+        #     if voice_base64:
+        #         message_data['voice']['base64'] = voice_base64
+    elif msg_type == 'video':
+        video_info = msg_json.get('video', {}) or {}
+        download_url = video_info.get('url')
+        per_msg_aeskey = video_info.get('aeskey', '')
+        video_data = {
+            'url': download_url,
+            'filesize': video_info.get('filesize') or video_info.get('size'),
+            'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
+            'md5sum': video_info.get('md5sum') or video_info.get('md5'),
+            'filename': video_info.get('filename') or video_info.get('name'),
+        }
+        # if (video_data.get('filesize') or 0) <= max_inline_file_size:
+        #     video_base64 = await _safe_download_as_data_uri(download_url, per_msg_aeskey)
+        #     if video_base64:
+        #         video_data['base64'] = video_base64
+        # 应为需要解密，但是目前暂时不能下载到内部进行解密，所以先将下载链接拼接aeskey返回给用户，由插件去处理该链接的下载和解密逻辑
+        video_data['download_url'] = download_url + f'?aeskey={per_msg_aeskey}'
+        message_data['video'] = video_data
+    elif msg_type == 'file':
+        file_info = msg_json.get('file', {}) or {}
+        download_url = file_info.get('url') or file_info.get('fileurl')
+        per_msg_aeskey = file_info.get('aeskey', '')
+        file_data = {
+            'filename': file_info.get('filename') or file_info.get('name'),
+            'filesize': file_info.get('filesize') or file_info.get('size'),
+            'md5sum': file_info.get('md5sum') or file_info.get('md5'),
+            'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
+            'download_url': download_url,
+            'extra': file_info,
+        }
+        # if (file_data.get('filesize') or 0) <= max_inline_file_size:
+        #     file_bytes, dl_filename = await _safe_download(download_url, per_msg_aeskey)
+        #     if file_bytes:
+        #         file_data['base64'] = _bytes_to_data_uri(file_bytes)
+        #         if dl_filename and not file_data.get('filename'):
+        #             file_data['filename'] = dl_filename
+
+        # 应为需要解密，但是目前暂时不能下载到内部进行解密，所以先将下载链接拼接aeskey返回给用户，由插件去处理该链接的下载和解密逻辑
+        file_data['download_url'] = download_url + f'?aeskey={per_msg_aeskey}'
+        message_data['file'] = file_data
+    elif msg_type == 'link':
+        message_data['link'] = msg_json.get('link', {})
+        if not message_data.get('content'):
+            title = message_data['link'].get('title', '')
+            desc = message_data['link'].get('description') or message_data['link'].get('digest', '')
+            message_data['content'] = '\n'.join(filter(None, [title, desc]))
+    elif msg_type == 'mixed':
+        items = msg_json.get('mixed', {}).get('msg_item', [])
+        texts = []
+        images = []
+        files = []
+        voices = []
+        videos = []
+        links = []
+        for item in items:
+            item_type = item.get('msgtype')
+            if item_type == 'text':
+                texts.append(item.get('text', {}).get('content', ''))
+            elif item_type == 'image':
+                img_info = item.get('image', {})
+                img_url = img_info.get('url')
+                img_aeskey = img_info.get('aeskey', '')
+                base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
+                if base64_data:
+                    images.append(base64_data)
+            elif item_type == 'file':
+                file_info = item.get('file', {}) or {}
+                download_url = file_info.get('url') or file_info.get('fileurl')
+                item_aeskey = file_info.get('aeskey', '')
+                file_data = {
+                    'filename': file_info.get('filename') or file_info.get('name'),
+                    'filesize': file_info.get('filesize') or file_info.get('size'),
+                    'md5sum': file_info.get('md5sum') or file_info.get('md5'),
+                    'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
+                    'download_url': download_url,
+                    'extra': file_info,
+                }
+                if (file_data.get('filesize') or 0) <= max_inline_file_size:
+                    file_bytes, dl_filename = await _safe_download(download_url, item_aeskey)
+                    if file_bytes:
+                        file_data['base64'] = _bytes_to_data_uri(file_bytes)
+                        if dl_filename and not file_data.get('filename'):
+                            file_data['filename'] = dl_filename
+                files.append(file_data)
+            elif item_type == 'voice':
+                voice_info = item.get('voice', {}) or {}
+                download_url = voice_info.get('url')
+                item_aeskey = voice_info.get('aeskey', '')
+                voice_data = {
+                    'url': download_url,
+                    'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
+                    'filesize': voice_info.get('filesize') or voice_info.get('size'),
+                    'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
+                }
+                if voice_info.get('content'):
+                    texts.append(voice_info.get('content'))
+                if (voice_data.get('filesize') or 0) <= max_inline_file_size:
+                    voice_base64 = await _safe_download_as_data_uri(download_url, item_aeskey)
+                    if voice_base64:
+                        voice_data['base64'] = voice_base64
+                voices.append(voice_data)
+            elif item_type == 'video':
+                video_info = item.get('video', {}) or {}
+                download_url = video_info.get('url')
+                item_aeskey = video_info.get('aeskey', '')
+                video_data = {
+                    'url': download_url,
+                    'filesize': video_info.get('filesize') or video_info.get('size'),
+                    'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
+                    'md5sum': video_info.get('md5sum') or video_info.get('md5'),
+                    'filename': video_info.get('filename') or video_info.get('name'),
+                }
+                if (video_data.get('filesize') or 0) <= max_inline_file_size:
+                    video_base64 = await _safe_download_as_data_uri(download_url, item_aeskey)
+                    if video_base64:
+                        video_data['base64'] = video_base64
+                videos.append(video_data)
+            elif item_type == 'link':
+                links.append(item.get('link', {}))
+
+        if texts:
+            message_data['content'] = ' '.join(texts)
+        if images:
+            message_data['images'] = images
+            message_data['picurl'] = images[0]
+        if files:
+            message_data['files'] = files
+            message_data['file'] = files[0]
+        if voices:
+            message_data['voices'] = voices
+            message_data['voice'] = voices[0]
+        if videos:
+            message_data['videos'] = videos
+            message_data['video'] = videos[0]
+        if links:
+            message_data['link'] = links[0]
+        if items:
+            message_data['attachments'] = items
+    else:
+        message_data['raw_msg'] = msg_json
+
+    from_info = msg_json.get('from', {})
+    message_data['userid'] = from_info.get('userid', '')
+    message_data['username'] = from_info.get('alias', '') or from_info.get('name', '') or from_info.get('userid', '')
+
+    if msg_json.get('chattype', '') == 'group':
+        message_data['chatid'] = msg_json.get('chatid', '')
+        message_data['chatname'] = msg_json.get('chatname', '') or msg_json.get('chatid', '')
+
+    message_data['msgid'] = msg_json.get('msgid', '')
+
+    if msg_json.get('aibotid'):
+        message_data['aibotid'] = msg_json.get('aibotid', '')
+
+    # Handle quote (referenced message) - important for group chat file references
+    quote_info = msg_json.get('quote')
+    if quote_info:
+        quote_data: dict[str, Any] = {}
+        quote_type = quote_info.get('msgtype', '')
+        quote_data['msgtype'] = quote_type
+
+        if quote_type == 'text':
+            quote_data['content'] = quote_info.get('text', {}).get('content', '')
+        elif quote_type == 'image':
+            img_info = quote_info.get('image', {})
+            img_url = img_info.get('url', '')
+            img_aeskey = img_info.get('aeskey', '')
+            base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
+            if base64_data:
+                quote_data['picurl'] = base64_data
+                quote_data['images'] = [base64_data]
+        elif quote_type == 'file':
+            file_info = quote_info.get('file', {}) or {}
+            download_url = file_info.get('url') or file_info.get('fileurl')
+            item_aeskey = file_info.get('aeskey', '')
+            file_data = {
+                'filename': file_info.get('filename') or file_info.get('name'),
+                'filesize': file_info.get('filesize') or file_info.get('size'),
+                'md5sum': file_info.get('md5sum') or file_info.get('md5'),
+                'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
+                'download_url': download_url,
+                'extra': file_info,
+            }
+            # Same as private chat: append aeskey to download_url for plugin processing
+            if download_url and item_aeskey:
+                file_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
+            quote_data['file'] = file_data
+        elif quote_type == 'voice':
+            voice_info = quote_info.get('voice', {}) or {}
+            download_url = voice_info.get('url')
+            item_aeskey = voice_info.get('aeskey', '')
+            voice_data = {
+                'url': download_url,
+                'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
+                'filesize': voice_info.get('filesize') or voice_info.get('size'),
+                'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
+            }
+            if voice_info.get('content'):
+                quote_data['content'] = voice_info.get('content')
+            # Same as private chat: append aeskey to url for plugin processing
+            if download_url and item_aeskey:
+                voice_data['url'] = download_url + f'?aeskey={item_aeskey}'
+            quote_data['voice'] = voice_data
+        elif quote_type == 'video':
+            video_info = quote_info.get('video', {}) or {}
+            download_url = video_info.get('url')
+            item_aeskey = video_info.get('aeskey', '')
+            video_data = {
+                'url': download_url,
+                'filesize': video_info.get('filesize') or video_info.get('size'),
+                'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
+                'md5sum': video_info.get('md5sum') or video_info.get('md5'),
+                'filename': video_info.get('filename') or video_info.get('name'),
+            }
+            # Same as private chat: append aeskey to download_url for plugin processing
+            if download_url and item_aeskey:
+                video_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
+            quote_data['video'] = video_data
+        elif quote_type == 'link':
+            quote_data['link'] = quote_info.get('link', {})
+            link = quote_data['link']
+            title = link.get('title', '')
+            desc = link.get('description') or link.get('digest', '')
+            quote_data['content'] = '\n'.join(filter(None, [title, desc]))
+        elif quote_type == 'mixed':
+            # Handle mixed type in quote (text + images + files etc.)
+            items = quote_info.get('mixed', {}).get('msg_item', [])
+            texts = []
+            images = []
+            files = []
+            for item in items:
+                item_type = item.get('msgtype')
+                if item_type == 'text':
+                    texts.append(item.get('text', {}).get('content', ''))
+                elif item_type == 'image':
+                    img_info = item.get('image', {})
+                    img_url = img_info.get('url')
+                    img_aeskey = img_info.get('aeskey', '')
+                    base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
+                    if base64_data:
+                        images.append(base64_data)
+                elif item_type == 'file':
+                    file_info = item.get('file', {}) or {}
+                    download_url = file_info.get('url') or file_info.get('fileurl')
+                    item_aeskey = file_info.get('aeskey', '')
+                    file_data = {
+                        'filename': file_info.get('filename') or file_info.get('name'),
+                        'filesize': file_info.get('filesize') or file_info.get('size'),
+                        'md5sum': file_info.get('md5sum') or file_info.get('md5'),
+                        'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
+                        'download_url': download_url,
+                        'extra': file_info,
+                    }
+                    # Same as private chat: append aeskey to download_url for plugin processing
+                    if download_url and item_aeskey:
+                        file_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
+                    files.append(file_data)
+            if texts:
+                quote_data['content'] = ' '.join(texts)
+            if images:
+                quote_data['images'] = images
+                quote_data['picurl'] = images[0]
+            if files:
+                quote_data['files'] = files
+                quote_data['file'] = files[0]
+
+        message_data['quote'] = quote_data
+
+    return message_data
 
 
 class WecomBotClient:
@@ -236,14 +760,27 @@ class WecomBotClient:
         self.stream_sessions = StreamSessionManager(logger=logger)
         self.stream_poll_timeout = 0.5
 
+        self._feedback_callback: Optional[Callable] = None
+
+    def set_feedback_callback(self, callback: Callable) -> None:
+        """设置反馈回调函数。
+
+        Args:
+            callback: 反馈回调函数，签名: async def callback(feedback_id, feedback_type, feedback_content, inaccurate_reasons, session)
+        """
+        self._feedback_callback = callback
+
     @staticmethod
-    def _build_stream_payload(stream_id: str, content: str, finish: bool) -> dict[str, Any]:
+    def _build_stream_payload(
+        stream_id: str, content: str, finish: bool, feedback_id: Optional[str] = None
+    ) -> dict[str, Any]:
         """按照企业微信协议拼装返回报文。
 
         Args:
             stream_id: 企业微信会话 ID。
             content: 推送的文本内容。
             finish: 是否为最终片段。
+            feedback_id: 反馈 ID，用于接收用户点赞/点踩反馈。
 
         Returns:
             dict[str, Any]: 可直接加密返回的 payload。
@@ -251,13 +788,16 @@ class WecomBotClient:
         Example:
             组装 `{'msgtype': 'stream', 'stream': {'id': 'sid', ...}}` 结构。
         """
+        stream_payload = {
+            'id': stream_id,
+            'finish': finish,
+            'content': content,
+        }
+        if feedback_id:
+            stream_payload['feedback'] = {'id': feedback_id}
         return {
             'msgtype': 'stream',
-            'stream': {
-                'id': stream_id,
-                'finish': finish,
-                'content': content,
-            },
+            'stream': stream_payload,
         }
 
     async def _encrypt_and_reply(self, payload: dict[str, Any], nonce: str) -> tuple[Response, int]:
@@ -313,9 +853,14 @@ class WecomBotClient:
         """
         session, is_new = self.stream_sessions.create_or_get(msg_json)
 
+        feedback_id = str(uuid.uuid4())
+        session.feedback_id = feedback_id
+        self.stream_sessions.register_feedback_id(session.stream_id, feedback_id)
+
         message_data = await self.get_message(msg_json)
         if message_data:
             message_data['stream_id'] = session.stream_id
+            message_data['feedback_id'] = feedback_id
             try:
                 event = wecombotevent.WecomBotEvent(message_data)
             except Exception:
@@ -324,7 +869,7 @@ class WecomBotClient:
                 if is_new:
                     asyncio.create_task(self._dispatch_event(event))
 
-        payload = self._build_stream_payload(session.stream_id, '', False)
+        payload = self._build_stream_payload(session.stream_id, '', False, feedback_id)
         return await self._encrypt_and_reply(payload, nonce)
 
     async def _handle_post_followup_response(self, msg_json: dict[str, Any], nonce: str) -> tuple[Response, int]:
@@ -449,202 +994,83 @@ class WecomBotClient:
 
         msg_json = json.loads(decrypted_xml)
 
+        event = msg_json.get('event', {})
+        event_type = event.get('eventtype', '')
+
+        if event_type == 'feedback_event':
+            return await self._handle_feedback_event(msg_json, nonce)
+
         if msg_json.get('msgtype') == 'stream':
             return await self._handle_post_followup_response(msg_json, nonce)
 
         return await self._handle_post_initial_response(msg_json, nonce)
 
-    async def get_message(self, msg_json):
-        message_data = {}
+    async def _handle_feedback_event(self, msg_json: dict[str, Any], nonce: str) -> tuple[Response, int]:
+        """处理企业微信用户反馈事件（点赞/点踩）。
 
-        msg_type = msg_json.get('msgtype', '')
-        if msg_type:
-            message_data['msgtype'] = msg_type
+        Args:
+            msg_json: 解密后的企业微信反馈事件 JSON。
+            nonce: 企业微信回调参数 nonce。
 
-        if msg_json.get('chattype', '') == 'single':
-            message_data['type'] = 'single'
-        elif msg_json.get('chattype', '') == 'group':
-            message_data['type'] = 'group'
+        Returns:
+            Tuple[Response, int]: Quart Response 及状态码。
 
-        max_inline_file_size = 5 * 1024 * 1024  # avoid decoding very large payloads by default
+        Note:
+            企业微信协议要求：反馈事件目前仅支持回复空包。
+        """
+        try:
+            feedback_event = msg_json.get('event', {}).get('feedback_event', {})
+            feedback_id = feedback_event.get('id', '')
+            feedback_type = feedback_event.get('type', 0)
+            feedback_content = feedback_event.get('content', '')
+            inaccurate_reasons = feedback_event.get('inaccurate_reason_list', [])
 
-        async def _safe_download(url: str):
-            if not url:
-                return None
-            return await self.download_url_to_base64(url, self.EnCodingAESKey)
-
-        if msg_type == 'text':
-            message_data['content'] = msg_json.get('text', {}).get('content')
-        elif msg_type == 'markdown':
-            message_data['content'] = msg_json.get('markdown', {}).get('content') or msg_json.get('text', {}).get(
-                'content', ''
+            await self.logger.info(
+                f'收到用户反馈事件: feedback_id={feedback_id}, type={feedback_type}, '
+                f'content={feedback_content}, reasons={inaccurate_reasons}'
             )
-        elif msg_type == 'image':
-            picurl = msg_json.get('image', {}).get('url', '')
-            base64_data = await _safe_download(picurl)
-            if base64_data:
-                message_data['picurl'] = base64_data
-                message_data['images'] = [base64_data]
-        elif msg_type == 'voice':
-            voice_info = msg_json.get('voice', {}) or {}
-            download_url = voice_info.get('url')
-            message_data['voice'] = {
-                'url': download_url,
-                'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
-                'filesize': voice_info.get('filesize') or voice_info.get('size'),
-                'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
-            }
-            # 企业微信智能转写文本（如果已有）直接复用，避免重复转写
-            if voice_info.get('content'):
-                message_data['content'] = voice_info.get('content')
-            if (message_data['voice'].get('filesize') or 0) <= max_inline_file_size:
-                voice_base64 = await _safe_download(download_url)
-                if voice_base64:
-                    message_data['voice']['base64'] = voice_base64
-        elif msg_type == 'video':
-            video_info = msg_json.get('video', {}) or {}
-            download_url = video_info.get('url')
-            video_data = {
-                'url': download_url,
-                'filesize': video_info.get('filesize') or video_info.get('size'),
-                'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
-                'md5sum': video_info.get('md5sum') or video_info.get('md5'),
-                'filename': video_info.get('filename') or video_info.get('name'),
-            }
-            if (video_data.get('filesize') or 0) <= max_inline_file_size:
-                video_base64 = await _safe_download(download_url)
-                if video_base64:
-                    video_data['base64'] = video_base64
-            message_data['video'] = video_data
-        elif msg_type == 'file':
-            file_info = msg_json.get('file', {}) or {}
-            download_url = file_info.get('url') or file_info.get('fileurl')
-            file_data = {
-                'filename': file_info.get('filename') or file_info.get('name'),
-                'filesize': file_info.get('filesize') or file_info.get('size'),
-                'md5sum': file_info.get('md5sum') or file_info.get('md5'),
-                'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
-                'download_url': download_url,
-                'extra': file_info,
-            }
-            if (file_data.get('filesize') or 0) <= max_inline_file_size:
-                file_base64 = await _safe_download(download_url)
-                if file_base64:
-                    file_data['base64'] = file_base64
-            message_data['file'] = file_data
-        elif msg_type == 'link':
-            message_data['link'] = msg_json.get('link', {})
-            if not message_data.get('content'):
-                title = message_data['link'].get('title', '')
-                desc = message_data['link'].get('description') or message_data['link'].get('digest', '')
-                message_data['content'] = '\n'.join(filter(None, [title, desc]))
-        elif msg_type == 'mixed':
-            items = msg_json.get('mixed', {}).get('msg_item', [])
-            texts = []
-            images = []
-            files = []
-            voices = []
-            videos = []
-            links = []
-            for item in items:
-                item_type = item.get('msgtype')
-                if item_type == 'text':
-                    texts.append(item.get('text', {}).get('content', ''))
-                elif item_type == 'image':
-                    img_url = item.get('image', {}).get('url')
-                    base64_data = await _safe_download(img_url)
-                    if base64_data:
-                        images.append(base64_data)
-                elif item_type == 'file':
-                    file_info = item.get('file', {}) or {}
-                    download_url = file_info.get('url') or file_info.get('fileurl')
-                    file_data = {
-                        'filename': file_info.get('filename') or file_info.get('name'),
-                        'filesize': file_info.get('filesize') or file_info.get('size'),
-                        'md5sum': file_info.get('md5sum') or file_info.get('md5'),
-                        'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
-                        'download_url': download_url,
-                        'extra': file_info,
-                    }
-                    if (file_data.get('filesize') or 0) <= max_inline_file_size:
-                        file_base64 = await _safe_download(download_url)
-                        if file_base64:
-                            file_data['base64'] = file_base64
-                    files.append(file_data)
-                elif item_type == 'voice':
-                    voice_info = item.get('voice', {}) or {}
-                    download_url = voice_info.get('url')
-                    voice_data = {
-                        'url': download_url,
-                        'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
-                        'filesize': voice_info.get('filesize') or voice_info.get('size'),
-                        'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
-                    }
-                    if voice_info.get('content'):
-                        texts.append(voice_info.get('content'))
-                    if (voice_data.get('filesize') or 0) <= max_inline_file_size:
-                        voice_base64 = await _safe_download(download_url)
-                        if voice_base64:
-                            voice_data['base64'] = voice_base64
-                    voices.append(voice_data)
-                elif item_type == 'video':
-                    video_info = item.get('video', {}) or {}
-                    download_url = video_info.get('url')
-                    video_data = {
-                        'url': download_url,
-                        'filesize': video_info.get('filesize') or video_info.get('size'),
-                        'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
-                        'md5sum': video_info.get('md5sum') or video_info.get('md5'),
-                        'filename': video_info.get('filename') or video_info.get('name'),
-                    }
-                    if (video_data.get('filesize') or 0) <= max_inline_file_size:
-                        video_base64 = await _safe_download(download_url)
-                        if video_base64:
-                            video_data['base64'] = video_base64
-                    videos.append(video_data)
-                elif item_type == 'link':
-                    links.append(item.get('link', {}))
 
-            if texts:
-                message_data['content'] = ' '.join(texts)  # 拼接所有 text
-            if images:
-                message_data['images'] = images
-                message_data['picurl'] = images[0]  # 只保留第一个 image
-            if files:
-                message_data['files'] = files
-                message_data['file'] = files[0]
-            if voices:
-                message_data['voices'] = voices
-                message_data['voice'] = voices[0]
-            if videos:
-                message_data['videos'] = videos
-                message_data['video'] = videos[0]
-            if links:
-                message_data['link'] = links[0]
-            if items:
-                message_data['attachments'] = items
-        else:
-            message_data['raw_msg'] = msg_json
+            session = self.stream_sessions.get_session_by_feedback_id(feedback_id)
 
-        # Extract user information
-        from_info = msg_json.get('from', {})
-        message_data['userid'] = from_info.get('userid', '')
-        message_data['username'] = (
-            from_info.get('alias', '') or from_info.get('name', '') or from_info.get('userid', '')
-        )
+            if session:
+                await self.logger.info(
+                    f'反馈关联到会话: stream_id={session.stream_id}, msg_id={session.msg_id}, user_id={session.user_id}'
+                )
+            else:
+                await self.logger.warning(f'未找到 feedback_id={feedback_id} 对应的会话，仍将记录反馈')
 
-        # Extract chat/group information
-        if msg_json.get('chattype', '') == 'group':
-            message_data['chatid'] = msg_json.get('chatid', '')
-            # Try to get group name if available
-            message_data['chatname'] = msg_json.get('chatname', '') or msg_json.get('chatid', '')
+            # Dispatch feedback event regardless of session availability
+            for handler in self._message_handlers.get('feedback', []):
+                try:
+                    await handler(
+                        feedback_id=feedback_id,
+                        feedback_type=feedback_type,
+                        feedback_content=feedback_content,
+                        inaccurate_reasons=inaccurate_reasons,
+                        session=session,
+                    )
+                except Exception:
+                    await self.logger.error(traceback.format_exc())
 
-        message_data['msgid'] = msg_json.get('msgid', '')
+            if self._feedback_callback:
+                try:
+                    await self._feedback_callback(
+                        feedback_id=feedback_id,
+                        feedback_type=feedback_type,
+                        feedback_content=feedback_content,
+                        inaccurate_reasons=inaccurate_reasons,
+                        session=session,
+                    )
+                except Exception:
+                    await self.logger.error(traceback.format_exc())
 
-        if msg_json.get('aibotid'):
-            message_data['aibotid'] = msg_json.get('aibotid', '')
+        except Exception:
+            await self.logger.error(traceback.format_exc())
 
-        return message_data
+        return await self._encrypt_and_reply({}, nonce)
+
+    async def get_message(self, msg_json):
+        return await parse_wecom_bot_message(msg_json, self.EnCodingAESKey, self.logger)
 
     async def _handle_message(self, event: wecombotevent.WecomBotEvent):
         """
@@ -711,40 +1137,20 @@ class WecomBotClient:
 
         return decorator
 
+    def on_feedback(self):
+        def decorator(func: Callable):
+            if 'feedback' not in self._message_handlers:
+                self._message_handlers['feedback'] = []
+            self._message_handlers['feedback'].append(func)
+            return func
+
+        return decorator
+
     async def download_url_to_base64(self, download_url, encoding_aes_key):
-        async with httpx.AsyncClient() as client:
-            response = await client.get(download_url)
-            if response.status_code != 200:
-                await self.logger.error(f'failed to get file: {response.text}')
-                return None
-
-            encrypted_bytes = response.content
-
-        aes_key = base64.b64decode(encoding_aes_key + '=')  # base64 补齐
-        iv = aes_key[:16]
-
-        cipher = AES.new(aes_key, AES.MODE_CBC, iv)
-        decrypted = cipher.decrypt(encrypted_bytes)
-
-        pad_len = decrypted[-1]
-        decrypted = decrypted[:-pad_len]
-
-        if decrypted.startswith(b'\xff\xd8'):  # JPEG
-            mime_type = 'image/jpeg'
-        elif decrypted.startswith(b'\x89PNG'):  # PNG
-            mime_type = 'image/png'
-        elif decrypted.startswith((b'GIF87a', b'GIF89a')):  # GIF
-            mime_type = 'image/gif'
-        elif decrypted.startswith(b'BM'):  # BMP
-            mime_type = 'image/bmp'
-        elif decrypted.startswith(b'II*\x00') or decrypted.startswith(b'MM\x00*'):  # TIFF
-            mime_type = 'image/tiff'
-        else:
-            mime_type = 'application/octet-stream'
-
-        # 转 base64
-        base64_str = base64.b64encode(decrypted).decode('utf-8')
-        return f'data:{mime_type};base64,{base64_str}'
+        data, _filename = await download_encrypted_file(download_url, encoding_aes_key, self.logger)
+        if data:
+            return _bytes_to_data_uri(data)
+        return None
 
     async def run_task(self, host: str, port: int, *args, **kwargs):
         """

src/langbot/libs/wecom_ai_bot_api/wecombotevent.py

@@ -133,3 +133,24 @@ class WecomBotEvent(dict):
         AI Bot ID
         """
         return self.get('aibotid', '')
+
+    @property
+    def feedback_id(self) -> str:
+        """
+        反馈 ID，用于关联用户点赞/点踩反馈
+        """
+        return self.get('feedback_id', '')
+
+    @property
+    def stream_id(self) -> str:
+        """
+        流式消息 ID
+        """
+        return self.get('stream_id', '')
+
+    @property
+    def quote(self):
+        """
+        引用消息信息（群聊中用户引用其他消息时返回）
+        """
+        return self.get('quote', {})

src/langbot/libs/wecom_ai_bot_api/ws_client.py

@@ -0,0 +1,683 @@
+"""WeChat Work AI Bot WebSocket long connection client.
+
+Implements the WebSocket protocol for receiving messages and sending replies
+via a persistent connection to wss://openws.work.weixin.qq.com, as an
+alternative to the HTTP callback (webhook) mode.
+
+Protocol reference: https://developer.work.weixin.qq.com/document/path/101463
+Official Node.js SDK: https://github.com/WecomTeam/aibot-node-sdk
+"""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import secrets
+import time
+import traceback
+from typing import Any, Callable, Optional
+
+import aiohttp
+
+from langbot.libs.wecom_ai_bot_api import wecombotevent
+from langbot.libs.wecom_ai_bot_api.api import parse_wecom_bot_message, StreamSession
+from langbot.pkg.platform.logger import EventLogger
+
+DEFAULT_WS_URL = 'wss://openws.work.weixin.qq.com'
+
+# WebSocket frame command constants
+CMD_SUBSCRIBE = 'aibot_subscribe'
+CMD_HEARTBEAT = 'ping'
+CMD_MSG_CALLBACK = 'aibot_msg_callback'
+CMD_EVENT_CALLBACK = 'aibot_event_callback'
+CMD_RESPOND_MSG = 'aibot_respond_msg'
+CMD_RESPOND_WELCOME = 'aibot_respond_welcome_msg'
+CMD_RESPOND_UPDATE = 'aibot_respond_update_msg'
+CMD_SEND_MSG = 'aibot_send_msg'
+
+
+def _generate_req_id(prefix: str) -> str:
+    """Generate a unique request ID in the format: {prefix}_{timestamp}_{random}."""
+    ts = int(time.time() * 1000)
+    rand = secrets.token_hex(4)
+    return f'{prefix}_{ts}_{rand}'
+
+
+class WecomBotWsClient:
+    """WeChat Work AI Bot WebSocket long connection client.
+
+    Provides message receiving, streaming reply, proactive message sending,
+    and event callback handling over a persistent WebSocket connection.
+    """
+
+    def __init__(
+        self,
+        bot_id: str,
+        secret: str,
+        logger: EventLogger,
+        encoding_aes_key: str = '',
+        ws_url: str = DEFAULT_WS_URL,
+        heartbeat_interval: float = 30.0,
+        max_reconnect_attempts: int = -1,
+        reconnect_base_delay: float = 1.0,
+        reconnect_max_delay: float = 30.0,
+    ):
+        self.bot_id = bot_id
+        self.secret = secret
+        self.logger = logger
+        self.encoding_aes_key = encoding_aes_key
+        self.ws_url = ws_url
+        self.heartbeat_interval = heartbeat_interval
+        self.max_reconnect_attempts = max_reconnect_attempts
+        self.reconnect_base_delay = reconnect_base_delay
+        self.reconnect_max_delay = reconnect_max_delay
+
+        self._ws: Optional[aiohttp.ClientWebSocketResponse] = None
+        self._session: Optional[aiohttp.ClientSession] = None
+        self._running = False
+        self._heartbeat_task: Optional[asyncio.Task] = None
+        self._missed_pong_count = 0
+        self._max_missed_pong = 2
+        self._reconnect_attempts = 0
+
+        # Message handler registry (same pattern as WecomBotClient)
+        self._message_handlers: dict[str, list[Callable]] = {}
+        # Message deduplication
+        self._msg_id_map: dict[str, int] = {}
+
+        # Pending ACK futures: req_id -> Future[dict]
+        self._pending_acks: dict[str, asyncio.Future] = {}
+        # Per-req_id serial reply queues
+        self._reply_queues: dict[str, asyncio.Queue] = {}
+        self._reply_workers: dict[str, asyncio.Task] = {}
+        self._reply_ack_timeout = 5.0
+
+        # Stream ID tracking for WebSocket mode
+        self._stream_ids: dict[str, str] = {}  # msg_id -> req_id|stream_id
+        # Dedup: skip sending when content hasn't changed
+        self._stream_last_content: dict[str, str] = {}  # msg_id -> last content sent
+        # Stream session info for feedback tracking
+        self._stream_sessions: dict[str, dict] = {}  # msg_id -> session info
+        # Feedback tracking: feedback_id -> session info
+        self._feedback_sessions: dict[str, dict] = {}  # feedback_id -> {msg_id, user_id, chat_id, stream_id, req_id}
+        # msg_id -> feedback_id (for associating feedback with message)
+        self._msg_feedback_ids: dict[str, str] = {}  # msg_id -> feedback_id
+
+    # ── Public API ──────────────────────────────────────────────────
+
+    async def connect(self):
+        """Connect to WebSocket server with automatic reconnection.
+
+        This method blocks until disconnect() is called or max reconnect
+        attempts are exhausted.
+        """
+        self._running = True
+        self._reconnect_attempts = 0
+
+        while self._running:
+            try:
+                await self._connect_once()
+            except Exception:
+                if not self._running:
+                    break
+                await self.logger.error(f'WebSocket connection error: {traceback.format_exc()}')
+
+            if not self._running:
+                break
+
+            # Reconnect with exponential backoff
+            if self.max_reconnect_attempts != -1 and self._reconnect_attempts >= self.max_reconnect_attempts:
+                await self.logger.error(f'Max reconnect attempts reached ({self.max_reconnect_attempts}), giving up')
+                break
+
+            self._reconnect_attempts += 1
+            delay = min(
+                self.reconnect_base_delay * (2 ** (self._reconnect_attempts - 1)),
+                self.reconnect_max_delay,
+            )
+            await self.logger.info(f'Reconnecting in {delay:.1f}s (attempt {self._reconnect_attempts})...')
+            await asyncio.sleep(delay)
+
+    async def disconnect(self):
+        """Gracefully disconnect from the WebSocket server."""
+        self._running = False
+        if self._heartbeat_task and not self._heartbeat_task.done():
+            self._heartbeat_task.cancel()
+        for task in self._reply_workers.values():
+            if not task.done():
+                task.cancel()
+        if self._ws and not self._ws.closed:
+            await self._ws.close()
+        self._ws = None
+        if self._session and not self._session.closed:
+            await self._session.close()
+        self._session = None
+
+    def on_message(self, msg_type: str) -> Callable:
+        """Decorator to register a message handler.
+
+        Same interface as WecomBotClient.on_message for compatibility.
+
+        Args:
+            msg_type: 'single', 'group', or specific message type.
+        """
+
+        def decorator(func: Callable[[wecombotevent.WecomBotEvent], Any]):
+            if msg_type not in self._message_handlers:
+                self._message_handlers[msg_type] = []
+            self._message_handlers[msg_type].append(func)
+            return func
+
+        return decorator
+
+    def on_feedback(self) -> Callable:
+        """Decorator to register a feedback event handler.
+
+        Same interface as WecomBotClient.on_feedback for compatibility.
+        """
+
+        def decorator(func: Callable):
+            if 'feedback' not in self._message_handlers:
+                self._message_handlers['feedback'] = []
+            self._message_handlers['feedback'].append(func)
+            return func
+
+        return decorator
+
+    async def reply_stream(
+        self,
+        req_id: str,
+        stream_id: str,
+        content: str,
+        finish: bool = False,
+        feedback_id: str = '',
+    ) -> Optional[dict]:
+        """Send a streaming reply frame.
+
+        Args:
+            req_id: The req_id from the original message frame (must be passed through).
+            stream_id: The stream ID for this streaming session.
+            content: The content to send (supports Markdown).
+            finish: Whether this is the final chunk.
+            feedback_id: Optional feedback ID for receiving user feedback (like/dislike).
+
+        Returns:
+            The ACK frame dict, or None on failure.
+        """
+        stream_payload = {
+            'id': stream_id,
+            'finish': finish,
+            'content': content,
+        }
+        if feedback_id:
+            stream_payload['feedback'] = {'id': feedback_id}
+
+        body = {
+            'msgtype': 'stream',
+            'stream': stream_payload,
+        }
+        return await self._send_reply(req_id, body)
+
+    async def reply_text(self, req_id: str, content: str) -> Optional[dict]:
+        """Send a non-streaming text reply.
+
+        Args:
+            req_id: The req_id from the original message frame.
+            content: The text content to reply.
+
+        Returns:
+            The ACK frame dict, or None on failure.
+        """
+        body = {
+            'msgtype': 'markdown',
+            'markdown': {
+                'content': content,
+            },
+        }
+        return await self._send_reply(req_id, body)
+
+    async def send_message(self, chat_id: str, content: str, msgtype: str = 'markdown') -> Optional[dict]:
+        """Proactively send a message to a specified chat.
+
+        Args:
+            chat_id: The chat ID (userid for single chat, chatid for group chat).
+            content: The message content.
+            msgtype: Message type, 'markdown' by default.
+
+        Returns:
+            The ACK frame dict, or None on failure.
+        """
+        req_id = _generate_req_id(CMD_SEND_MSG)
+        body: dict[str, Any] = {
+            'chatid': chat_id,
+            'msgtype': msgtype,
+        }
+        if msgtype == 'markdown':
+            body['markdown'] = {'content': content}
+        elif msgtype == 'text':
+            body['text'] = {'content': content}
+        return await self._send_reply(req_id, body, cmd=CMD_SEND_MSG)
+
+    async def push_stream_chunk(self, msg_id: str, content: str, is_final: bool = False) -> bool:
+        """Push a streaming chunk for a given message ID.
+
+        Compatible interface with WecomBotClient.push_stream_chunk.
+
+        Args:
+            msg_id: The original message ID.
+            content: The cumulative content from the pipeline.
+            is_final: Whether this is the final chunk.
+
+        Returns:
+            True if the stream session exists and chunk was sent.
+        """
+        key = self._stream_ids.get(msg_id)
+        if not key:
+            return False
+        req_id, stream_id = key.split('|', 1)
+        try:
+            # Skip sending if content hasn't changed (e.g. during tool call argument streaming)
+            if not is_final and content == self._stream_last_content.get(msg_id):
+                return True
+
+            # Generate feedback_id for final chunk
+            feedback_id = ''
+            if is_final:
+                feedback_id = _generate_req_id('feedback')
+                self._msg_feedback_ids[msg_id] = feedback_id
+                # Store session info for feedback tracking
+                session_info = self._stream_sessions.get(msg_id)
+                if session_info:
+                    self._feedback_sessions[feedback_id] = session_info
+
+            await self.reply_stream(req_id, stream_id, content, finish=is_final, feedback_id=feedback_id)
+            self._stream_last_content[msg_id] = content
+            if is_final:
+                self._stream_ids.pop(msg_id, None)
+                self._stream_last_content.pop(msg_id, None)
+                self._stream_sessions.pop(msg_id, None)
+            return True
+        except Exception:
+            await self.logger.error(f'Failed to push stream chunk: {traceback.format_exc()}')
+            return False
+
+    async def set_message(self, msg_id: str, content: str):
+        """Fallback: send content as a final stream chunk or direct reply.
+
+        Compatible interface with WecomBotClient.set_message.
+        """
+        handled = await self.push_stream_chunk(msg_id, content, is_final=True)
+        if not handled:
+            await self.logger.warning(f'No active stream for msg_id={msg_id}, message dropped')
+
+    # ── Connection lifecycle ────────────────────────────────────────
+
+    async def _connect_once(self):
+        """Establish a single WebSocket connection, authenticate, and listen."""
+        await self.logger.info(f'Connecting to {self.ws_url}...')
+
+        self._session = aiohttp.ClientSession()
+        try:
+            self._ws = await self._session.ws_connect(self.ws_url)
+            self._missed_pong_count = 0
+            self._reconnect_attempts = 0
+            await self.logger.info('WebSocket connected, sending auth...')
+
+            await self._send_auth()
+
+            # Wait for auth response
+            auth_ok = await self._wait_for_auth()
+            if not auth_ok:
+                await self.logger.error('Authentication failed')
+                return
+
+            await self.logger.info('Authenticated successfully')
+
+            # Start heartbeat
+            self._heartbeat_task = asyncio.create_task(self._heartbeat_loop())
+
+            try:
+                await self._listen_loop()
+            finally:
+                if self._heartbeat_task and not self._heartbeat_task.done():
+                    self._heartbeat_task.cancel()
+                self._clear_pending_acks('Connection closed')
+        finally:
+            if self._ws and not self._ws.closed:
+                await self._ws.close()
+            self._ws = None
+            if self._session and not self._session.closed:
+                await self._session.close()
+            self._session = None
+
+    async def _send_auth(self):
+        """Send the authentication frame."""
+        frame = {
+            'cmd': CMD_SUBSCRIBE,
+            'headers': {'req_id': _generate_req_id(CMD_SUBSCRIBE)},
+            'body': {
+                'bot_id': self.bot_id,
+                'secret': self.secret,
+            },
+        }
+        await self._send_frame(frame)
+
+    async def _wait_for_auth(self) -> bool:
+        """Wait for and validate the authentication response."""
+        try:
+            msg = await asyncio.wait_for(self._ws.receive(), timeout=10.0)
+            if msg.type in (aiohttp.WSMsgType.TEXT,):
+                frame = json.loads(msg.data)
+                req_id = frame.get('headers', {}).get('req_id', '')
+                if req_id.startswith(CMD_SUBSCRIBE) and frame.get('errcode') == 0:
+                    return True
+                await self.logger.error(f'Auth response: errcode={frame.get("errcode")}, errmsg={frame.get("errmsg")}')
+                return False
+            elif msg.type in (aiohttp.WSMsgType.ERROR, aiohttp.WSMsgType.CLOSED, aiohttp.WSMsgType.CLOSING):
+                await self.logger.error(f'WebSocket closed during auth: {msg.type}')
+                return False
+            await self.logger.error(f'Unexpected message type during auth: {msg.type}')
+            return False
+        except asyncio.TimeoutError:
+            await self.logger.error('Auth response timeout')
+            return False
+
+    async def _heartbeat_loop(self):
+        """Periodically send heartbeat pings."""
+        try:
+            while self._running and self._ws and not self._ws.closed:
+                await asyncio.sleep(self.heartbeat_interval)
+                if not self._running or not self._ws or self._ws.closed:
+                    break
+
+                if self._missed_pong_count >= self._max_missed_pong:
+                    await self.logger.warning(
+                        f'No heartbeat ack for {self._missed_pong_count} consecutive pings, connection considered dead'
+                    )
+                    await self._ws.close()
+                    break
+
+                self._missed_pong_count += 1
+                frame = {
+                    'cmd': CMD_HEARTBEAT,
+                    'headers': {'req_id': _generate_req_id(CMD_HEARTBEAT)},
+                }
+                try:
+                    await self._send_frame(frame)
+                except Exception:
+                    break
+        except asyncio.CancelledError:
+            pass
+
+    async def _listen_loop(self):
+        """Listen for incoming WebSocket frames and dispatch them."""
+        async for msg in self._ws:
+            if not self._running:
+                break
+            if msg.type == aiohttp.WSMsgType.TEXT:
+                try:
+                    frame = json.loads(msg.data)
+                    await self._handle_frame(frame)
+                except json.JSONDecodeError:
+                    await self.logger.error(f'Failed to parse WebSocket message: {str(msg.data)[:200]}')
+                except Exception:
+                    await self.logger.error(f'Error handling frame: {traceback.format_exc()}')
+            elif msg.type == aiohttp.WSMsgType.BINARY:
+                try:
+                    frame = json.loads(msg.data)
+                    await self._handle_frame(frame)
+                except Exception:
+                    await self.logger.error(f'Error handling binary frame: {traceback.format_exc()}')
+            elif msg.type in (aiohttp.WSMsgType.ERROR, aiohttp.WSMsgType.CLOSED, aiohttp.WSMsgType.CLOSING):
+                await self.logger.warning(f'WebSocket connection closed: {msg.type}')
+                break
+
+    # ── Frame handling ──────────────────────────────────────────────
+
+    async def _handle_frame(self, frame: dict):
+        """Route an incoming frame to the appropriate handler."""
+        cmd = frame.get('cmd', '')
+
+        # Message push
+        if cmd == CMD_MSG_CALLBACK:
+            asyncio.create_task(self._handle_message_callback(frame))
+            return
+
+        # Event push
+        if cmd == CMD_EVENT_CALLBACK:
+            asyncio.create_task(self._handle_event_callback(frame))
+            return
+
+        # No cmd → response/ACK frame, dispatch by req_id prefix
+        req_id = frame.get('headers', {}).get('req_id', '')
+
+        # Check pending ACKs first
+        if req_id in self._pending_acks:
+            future = self._pending_acks.pop(req_id)
+            if not future.done():
+                future.set_result(frame)
+            return
+
+        # Heartbeat response
+        if req_id.startswith(CMD_HEARTBEAT):
+            if frame.get('errcode') == 0:
+                self._missed_pong_count = 0
+            return
+
+        # Unknown frame
+        await self.logger.warning(f'Unknown frame: {json.dumps(frame, ensure_ascii=False)[:200]}')
+
+    async def _handle_message_callback(self, frame: dict):
+        """Handle an incoming message callback frame."""
+        try:
+            body = frame.get('body', {})
+            req_id = frame.get('headers', {}).get('req_id', '')
+
+            # Parse message using shared logic
+            message_data = await parse_wecom_bot_message(body, self.encoding_aes_key, self.logger)
+            if not message_data:
+                return
+
+            # Generate stream_id for this message and store the mapping
+            stream_id = _generate_req_id('stream')
+            msg_id = message_data.get('msgid', '')
+            if msg_id:
+                self._stream_ids[msg_id] = f'{req_id}|{stream_id}'
+                # Store session info for feedback tracking
+                self._stream_sessions[msg_id] = {
+                    'req_id': req_id,
+                    'stream_id': stream_id,
+                    'msg_id': msg_id,
+                    'user_id': message_data.get('userid', ''),
+                    'chat_id': message_data.get('chatid', ''),
+                    'chat_type': message_data.get('type', 'single'),
+                }
+            message_data['stream_id'] = stream_id
+            message_data['req_id'] = req_id
+
+            event = wecombotevent.WecomBotEvent(message_data)
+            await self._dispatch_event(event)
+        except Exception:
+            await self.logger.error(f'Error in message callback: {traceback.format_exc()}')
+
+    async def _handle_event_callback(self, frame: dict):
+        """Handle an incoming event callback frame (enter_chat, template_card_event, feedback_event, disconnected_event)."""
+        try:
+            body = frame.get('body', {})
+            req_id = frame.get('headers', {}).get('req_id', '')
+
+            event_info = body.get('event', {})
+            event_type = event_info.get('eventtype', '')
+
+            message_data = {
+                'msgtype': 'event',
+                'type': body.get('chattype', 'single'),
+                'event': event_info,
+                'eventtype': event_type,
+                'msgid': body.get('msgid', ''),
+                'aibotid': body.get('aibotid', ''),
+                'req_id': req_id,
+            }
+
+            from_info = body.get('from', {})
+            message_data['userid'] = from_info.get('userid', '')
+            message_data['username'] = from_info.get('alias', '') or from_info.get('userid', '')
+
+            if body.get('chatid'):
+                message_data['chatid'] = body.get('chatid', '')
+
+            if event_type == 'feedback_event':
+                feedback_event = event_info.get('feedback_event', {})
+                feedback_id = feedback_event.get('id', '')
+                feedback_type = feedback_event.get('type', 0)
+                feedback_content = feedback_event.get('content', '')
+                inaccurate_reasons = feedback_event.get('inaccurate_reason_list', [])
+
+                await self.logger.info(
+                    f'收到用户反馈事件: feedback_id={feedback_id}, type={feedback_type}, '
+                    f'content={feedback_content}, reasons={inaccurate_reasons}'
+                )
+
+                # Look up session by feedback_id
+                session_info = self._feedback_sessions.get(feedback_id)
+                session = None
+                if session_info:
+                    session = StreamSession(
+                        stream_id=session_info.get('stream_id', ''),
+                        msg_id=session_info.get('msg_id', ''),
+                        chat_id=session_info.get('chat_id') or None,
+                        user_id=session_info.get('user_id') or None,
+                        feedback_id=feedback_id,
+                    )
+                    await self.logger.info(
+                        f'反馈关联到会话: stream_id={session.stream_id}, msg_id={session.msg_id}, user_id={session.user_id}'
+                    )
+                else:
+                    await self.logger.warning(f'未找到 feedback_id={feedback_id} 对应的会话')
+
+                for handler in self._message_handlers.get('feedback', []):
+                    try:
+                        await handler(
+                            feedback_id=feedback_id,
+                            feedback_type=feedback_type,
+                            feedback_content=feedback_content,
+                            inaccurate_reasons=inaccurate_reasons,
+                            session=session,
+                        )
+                    except Exception:
+                        await self.logger.error(f'Error in feedback handler: {traceback.format_exc()}')
+                return
+
+            event = wecombotevent.WecomBotEvent(message_data)
+
+            if event_type in self._message_handlers:
+                for handler in self._message_handlers[event_type]:
+                    await handler(event)
+
+            if 'event' in self._message_handlers:
+                for handler in self._message_handlers['event']:
+                    await handler(event)
+
+        except Exception:
+            await self.logger.error(f'Error in event callback: {traceback.format_exc()}')
+
+    async def _dispatch_event(self, event: wecombotevent.WecomBotEvent):
+        """Dispatch a message event to registered handlers with deduplication."""
+        try:
+            message_id = event.message_id
+            if message_id in self._msg_id_map:
+                self._msg_id_map[message_id] += 1
+                return
+            self._msg_id_map[message_id] = 1
+
+            msg_type = event.type
+            if msg_type in self._message_handlers:
+                for handler in self._message_handlers[msg_type]:
+                    await handler(event)
+        except Exception:
+            await self.logger.error(f'Error dispatching event: {traceback.format_exc()}')
+
+    # ── Reply sending with serial queue ─────────────────────────────
+
+    async def _send_reply(
+        self,
+        req_id: str,
+        body: dict,
+        cmd: str = CMD_RESPOND_MSG,
+    ) -> Optional[dict]:
+        """Send a reply frame and wait for ACK.
+
+        Replies with the same req_id are serialized to maintain ordering.
+        """
+        if not self._ws or self._ws.closed:
+            return None
+
+        frame = {
+            'cmd': cmd,
+            'headers': {'req_id': req_id},
+            'body': body,
+        }
+
+        # Ensure serial delivery per req_id
+        if req_id not in self._reply_queues:
+            self._reply_queues[req_id] = asyncio.Queue()
+            self._reply_workers[req_id] = asyncio.create_task(self._reply_queue_worker(req_id))
+
+        future: asyncio.Future = asyncio.get_event_loop().create_future()
+        await self._reply_queues[req_id].put((frame, future))
+        return await future
+
+    async def _reply_queue_worker(self, req_id: str):
+        """Process reply queue items serially for a given req_id."""
+        queue = self._reply_queues[req_id]
+        try:
+            while self._running:
+                try:
+                    frame, future = await asyncio.wait_for(queue.get(), timeout=60.0)
+                except asyncio.TimeoutError:
+                    # Queue idle, clean up worker
+                    break
+
+                try:
+                    ack = await self._send_and_wait_ack(frame)
+                    if not future.done():
+                        future.set_result(ack)
+                except Exception as e:
+                    if not future.done():
+                        future.set_exception(e)
+        except asyncio.CancelledError:
+            pass
+        finally:
+            self._reply_queues.pop(req_id, None)
+            self._reply_workers.pop(req_id, None)
+
+    async def _send_and_wait_ack(self, frame: dict) -> Optional[dict]:
+        """Send a frame and wait for the corresponding ACK."""
+        req_id = frame['headers']['req_id']
+        ack_future: asyncio.Future = asyncio.get_event_loop().create_future()
+        self._pending_acks[req_id] = ack_future
+
+        try:
+            await self._send_frame(frame)
+            result = await asyncio.wait_for(ack_future, timeout=self._reply_ack_timeout)
+            if result.get('errcode', 0) != 0:
+                await self.logger.warning(
+                    f'Reply ACK error: errcode={result.get("errcode")}, errmsg={result.get("errmsg")}'
+                )
+            return result
+        except asyncio.TimeoutError:
+            self._pending_acks.pop(req_id, None)
+            await self.logger.warning(f'Reply ACK timeout ({self._reply_ack_timeout}s) for req_id={req_id}')
+            return None
+
+    async def _send_frame(self, frame: dict):
+        """Send a JSON frame over the WebSocket connection."""
+        if self._ws and not self._ws.closed:
+            await self._ws.send_str(json.dumps(frame, ensure_ascii=False))
+
+    def _clear_pending_acks(self, reason: str):
+        """Reject all pending ACK futures on disconnection."""
+        for req_id, future in self._pending_acks.items():
+            if not future.done():
+                future.set_exception(ConnectionError(reason))
+        self._pending_acks.clear()

src/langbot/libs/wecom_api/api.py

@@ -4,6 +4,7 @@ import base64
 import binascii
 import httpx
 import traceback
+from urllib.parse import quote
 from quart import Quart
 import xml.etree.ElementTree as ET
 from typing import Callable, Dict, Any
@@ -67,6 +68,31 @@ class WecomClient:
                 await self.logger.error(f'获取accesstoken失败:{response.json()}')
                 raise Exception(f'未获取access token: {data}')
 
+    async def get_user_info(self, userid: str) -> dict:
+        """
+        Get user information by user ID using the application secret.
+
+        Args:
+            userid: The user ID to look up.
+
+        Returns:
+            dict: User information including 'name' field.
+        """
+        if not await self.check_access_token():
+            self.access_token = await self.get_access_token(self.secret)
+
+        url = self.base_url + '/user/get?access_token=' + self.access_token + '&userid=' + quote(userid)
+        async with httpx.AsyncClient() as client:
+            response = await client.get(url)
+            data = response.json()
+            if data.get('errcode') == 40014 or data.get('errcode') == 42001:
+                self.access_token = await self.get_access_token(self.secret)
+                return await self.get_user_info(userid)
+            if data.get('errcode', 0) != 0:
+                await self.logger.error(f'获取用户信息失败:{data}')
+                return {}
+            return data
+
     async def get_users(self):
         if not self.check_access_token_for_contacts():
             self.access_token_for_contacts = await self.get_access_token(self.secret_for_contacts)

src/langbot/libs/wecom_customer_service_api/api.py

@@ -10,6 +10,7 @@ from typing import Callable
 from .wecomcsevent import WecomCSEvent
 import langbot_plugin.api.entities.builtin.platform.message as platform_message
 import aiofiles
+import time
 
 
 class WecomCSClient:
@@ -34,6 +35,10 @@ class WecomCSClient:
         self.unified_mode = unified_mode
         self.app = Quart(__name__)
 
+        # Customer info cache: {external_userid: (info_dict, timestamp)}
+        self._customer_cache: dict[str, tuple[dict, float]] = {}
+        self._cache_ttl = 60  # Cache TTL in seconds (1 minute)
+
         # 只有在非统一模式下才注册独立路由
         if not self.unified_mode:
             self.app.add_url_rule(
@@ -378,3 +383,53 @@ class WecomCSClient:
     async def get_media_id(self, image: platform_message.Image):
         media_id = await self.upload_to_work(image=image)
         return media_id
+
+    async def get_customer_info(self, external_userid: str) -> dict | None:
+        """
+        Get customer information by external_userid with caching.
+
+        Uses a 1-minute cache to avoid repeated API calls for the same user.
+
+        Args:
+            external_userid: The external user ID of the customer.
+
+        Returns:
+            Customer info dict with 'nickname', 'avatar', etc., or None if not found.
+        """
+        # Check cache first
+        current_time = time.time()
+        if external_userid in self._customer_cache:
+            cached_info, cached_time = self._customer_cache[external_userid]
+            if current_time - cached_time < self._cache_ttl:
+                return cached_info
+
+        # Cache miss or expired, fetch from API
+        if not await self.check_access_token():
+            self.access_token = await self.get_access_token(self.secret)
+
+        url = f'{self.base_url}/kf/customer/batchget?access_token={self.access_token}'
+
+        payload = {
+            'external_userid_list': [external_userid],
+        }
+
+        async with httpx.AsyncClient() as client:
+            response = await client.post(url, json=payload)
+            data = response.json()
+
+            if data.get('errcode') in [40014, 42001]:
+                self.access_token = await self.get_access_token(self.secret)
+                return await self.get_customer_info(external_userid)
+
+            if data.get('errcode', 0) != 0:
+                if self.logger:
+                    await self.logger.warning(f'Failed to get customer info: {data}')
+                return None
+
+            customer_list = data.get('customer_list', [])
+            if customer_list:
+                customer_info = customer_list[0]
+                # Store in cache
+                self._customer_cache[external_userid] = (customer_info, current_time)
+                return customer_info
+            return None

src/langbot/pkg/api/http/controller/groups/files.py

@@ -13,9 +13,9 @@ from .. import group
 @group.group_class('files', '/api/v1/files')
 class FilesRouterGroup(group.RouterGroup):
     async def initialize(self) -> None:
-        @self.route('/image/<image_key>', methods=['GET'], auth_type=group.AuthType.NONE)
+        @self.route('/image/<path:image_key>', methods=['GET'], auth_type=group.AuthType.NONE)
         async def _(image_key: str) -> quart.Response:
-            if '/' in image_key or '\\' in image_key:
+            if '..' in image_key or '\\' in image_key:
                 return quart.Response(status=404)
 
             if not await self.ap.storage_mgr.storage_provider.exists(image_key):

src/langbot/pkg/api/http/controller/groups/knowledge/migration.py

@@ -0,0 +1,372 @@
+import asyncio
+import json
+
+import httpx
+import quart
+import sqlalchemy
+
+from ... import group
+from ......core import taskmgr
+from ......entity.persistence import metadata as persistence_metadata
+from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
+
+LANGRAG_PLUGIN_AUTHOR = 'langbot-team'
+LANGRAG_PLUGIN_NAME = 'LangRAG'
+LANGRAG_PLUGIN_ID = f'{LANGRAG_PLUGIN_AUTHOR}/{LANGRAG_PLUGIN_NAME}'
+DEFAULT_SPACE_URL = 'https://space.langbot.app'
+
+# Old Retriever plugin_name -> New Connector plugin_name
+EXTERNAL_PLUGIN_NAME_MAPPING = {
+    'DifyDatasetsRetriever': 'DifyDatasetsConnector',
+    'RAGFlowRetriever': 'RAGFlowConnector',
+    'FastGPTRetriever': 'FastGPTConnector',
+}
+
+# Per-plugin: which old retriever_config fields belong to creation_settings.
+# Remaining fields go to retrieval_settings.
+# None means ALL fields go to creation_settings (no retrieval_schema).
+EXTERNAL_PLUGIN_CREATION_FIELDS: dict[str, set[str] | None] = {
+    'langbot-team/DifyDatasetsConnector': {'api_base_url', 'dify_apikey', 'dataset_id'},
+    'langbot-team/RAGFlowConnector': {'api_base_url', 'api_key', 'dataset_ids'},
+    'langbot-team/FastGPTConnector': None,  # all fields -> creation_settings
+}
+
+
+@group.group_class('knowledge/migration', '/api/v1/knowledge/migration')
+class KnowledgeMigrationRouterGroup(group.RouterGroup):
+    async def _get_migration_flag(self) -> bool:
+        """Check if rag_plugin_migration_needed flag is set."""
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_metadata.Metadata).where(
+                persistence_metadata.Metadata.key == 'rag_plugin_migration_needed'
+            )
+        )
+        row = result.first()
+        return row is not None and row.value == 'true'
+
+    async def _set_migration_flag(self, value: str):
+        """Set rag_plugin_migration_needed flag."""
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.update(persistence_metadata.Metadata)
+            .where(persistence_metadata.Metadata.key == 'rag_plugin_migration_needed')
+            .values(value=value)
+        )
+
+    async def _table_exists(self, table_name: str) -> bool:
+        """Check if a table exists."""
+        if self.ap.persistence_mgr.db.name == 'postgresql':
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text(
+                    'SELECT EXISTS (SELECT FROM information_schema.tables WHERE table_name = :table_name);'
+                ).bindparams(table_name=table_name)
+            )
+            return result.scalar()
+        else:
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text("SELECT name FROM sqlite_master WHERE type='table' AND name=:table_name;").bindparams(
+                    table_name=table_name
+                )
+            )
+            return result.first() is not None
+
+    async def _install_plugin_from_marketplace(
+        self, plugin_id: str, task_context: taskmgr.TaskContext, space_url: str
+    ) -> None:
+        """Install a single plugin from the marketplace."""
+        p_author, p_name = plugin_id.split('/', 1)
+        self.ap.logger.info(f'RAG migration: installing plugin {plugin_id} from marketplace...')
+        task_context.trace(f'Installing plugin {plugin_id} from marketplace...')
+
+        async with httpx.AsyncClient(trust_env=True, timeout=15) as client:
+            resp = await client.get(f'{space_url}/api/v1/marketplace/plugins/{p_author}/{p_name}')
+            resp.raise_for_status()
+            p_data = resp.json().get('data', {}).get('plugin', {})
+            p_version = p_data.get('latest_version')
+            if not p_version:
+                raise Exception(f'Could not determine latest version for {plugin_id}')
+
+        await self.ap.plugin_connector.install_plugin(
+            PluginInstallSource.MARKETPLACE,
+            {
+                'plugin_author': p_author,
+                'plugin_name': p_name,
+                'plugin_version': p_version,
+            },
+            task_context=task_context,
+        )
+        self.ap.logger.info(f'RAG migration: plugin {plugin_id} install request sent.')
+
+    async def _execute_rag_migration(self, task_context: taskmgr.TaskContext, install_plugin: bool = True):
+        """Execute RAG migration: install required plugins and restore backup data."""
+        warnings = []
+
+        # Collect all plugins we need: LangRAG (always) + connector plugins (from external KBs)
+        needed_plugins: dict[str, str] = {
+            LANGRAG_PLUGIN_ID: LANGRAG_PLUGIN_NAME,
+        }
+
+        has_external = await self._table_exists('external_knowledge_bases')
+        if has_external:
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text('SELECT DISTINCT plugin_author, plugin_name FROM external_knowledge_bases;')
+            )
+            for row in result.fetchall():
+                plugin_author = row[0] or ''
+                plugin_name = row[1] or ''
+                mapped_name = EXTERNAL_PLUGIN_NAME_MAPPING.get(plugin_name, plugin_name)
+                plugin_id = f'{plugin_author}/{mapped_name}'
+                if plugin_id not in needed_plugins:
+                    needed_plugins[plugin_id] = mapped_name
+
+        self.ap.logger.info(f'RAG migration: plugins needed: {list(needed_plugins.keys())}')
+
+        if install_plugin:
+            # Step 1: Install all required plugins from marketplace
+            task_context.trace('Installing required plugins...', action='install-plugin')
+            space_url = self.ap.instance_config.data.get('space', {}).get('url', DEFAULT_SPACE_URL).rstrip('/')
+
+            for plugin_id in needed_plugins:
+                try:
+                    await self._install_plugin_from_marketplace(plugin_id, task_context, space_url)
+                except Exception as e:
+                    self.ap.logger.warning(f'RAG migration: plugin {plugin_id} install returned: {e}')
+                    task_context.trace(f'Plugin install note ({plugin_id}): {e}')
+
+            # Step 2: Wait for all plugins to become available as knowledge engines
+            task_context.trace(
+                f'Waiting for plugins to become available: {list(needed_plugins.keys())}...',
+                action='wait-plugin',
+            )
+            max_retries = 30
+            engine_id_set: set[str] = set()
+            for i in range(max_retries):
+                try:
+                    engines = await self.ap.plugin_connector.list_knowledge_engines()
+                    engine_id_set = {e.get('plugin_id') for e in engines}
+                except Exception:
+                    pass
+                if all(pid in engine_id_set for pid in needed_plugins):
+                    self.ap.logger.info(f'RAG migration: all plugins ready: {engine_id_set}')
+                    task_context.trace('All required plugins are ready.')
+                    break
+                if i == max_retries - 1:
+                    still_missing = [pid for pid in needed_plugins if pid not in engine_id_set]
+                    warning = f'Plugin(s) {still_missing} did not become available after {max_retries} retries'
+                    self.ap.logger.warning(f'RAG migration: {warning}')
+                    warnings.append(warning)
+                    task_context.trace(warning)
+                await asyncio.sleep(2)
+        else:
+            try:
+                engines = await self.ap.plugin_connector.list_knowledge_engines()
+                engine_id_set = {e.get('plugin_id') for e in engines}
+            except Exception:
+                engine_id_set = set()
+
+        # Step 3: Restore internal knowledge bases from backup
+        task_context.trace('Restoring internal knowledge bases...', action='restore-internal')
+        if await self._table_exists('knowledge_bases_backup'):
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text('SELECT * FROM knowledge_bases_backup;')
+            )
+            rows = result.fetchall()
+            columns = result.keys()
+
+            for row in rows:
+                row_dict = dict(zip(columns, row))
+                kb_uuid = row_dict.get('uuid')
+                name = row_dict.get('name', 'Untitled')
+                description = row_dict.get('description', '')
+                emoji = row_dict.get('emoji', '\U0001f4da')
+                embedding_model_uuid = row_dict.get('embedding_model_uuid', '')
+                top_k = row_dict.get('top_k', 5)
+                created_at = row_dict.get('created_at')
+                updated_at = row_dict.get('updated_at')
+
+                creation_settings = json.dumps({'embedding_model_uuid': embedding_model_uuid})
+                retrieval_settings = json.dumps({'top_k': top_k})
+
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'INSERT INTO knowledge_bases '
+                        '(uuid, name, description, emoji, created_at, updated_at, '
+                        'knowledge_engine_plugin_id, collection_id, creation_settings, retrieval_settings) '
+                        'VALUES (:uuid, :name, :description, :emoji, :created_at, :updated_at, '
+                        ':plugin_id, :collection_id, :creation_settings, :retrieval_settings);'
+                    ).bindparams(
+                        uuid=kb_uuid,
+                        name=name,
+                        description=description,
+                        emoji=emoji,
+                        created_at=created_at,
+                        updated_at=updated_at,
+                        plugin_id=LANGRAG_PLUGIN_ID,
+                        collection_id=kb_uuid,
+                        creation_settings=creation_settings,
+                        retrieval_settings=retrieval_settings,
+                    )
+                )
+
+                try:
+                    config = {'embedding_model_uuid': embedding_model_uuid}
+                    await self.ap.plugin_connector.rag_on_kb_create(LANGRAG_PLUGIN_ID, kb_uuid, config)
+                    task_context.trace(f'Restored internal KB: {name} ({kb_uuid})')
+                except Exception as e:
+                    warning = f'Failed to notify plugin for KB {name} ({kb_uuid}): {e}'
+                    warnings.append(warning)
+                    task_context.trace(warning)
+
+            await self.ap.rag_mgr.load_knowledge_bases_from_db()
+
+        # Step 4: Restore external knowledge bases
+        task_context.trace('Restoring external knowledge bases...', action='restore-external')
+        if has_external:
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text('SELECT * FROM external_knowledge_bases;')
+            )
+            rows = result.fetchall()
+            columns = result.keys()
+
+            self.ap.logger.info(
+                f'RAG migration: {len(rows)} external KB(s) to restore. Available engines: {engine_id_set}'
+            )
+            task_context.trace(f'Found {len(rows)} external KB(s). Available engines: {engine_id_set}')
+
+            for row in rows:
+                row_dict = dict(zip(columns, row))
+                kb_uuid = row_dict.get('uuid')
+                name = row_dict.get('name', 'Untitled')
+                description = row_dict.get('description', '')
+                emoji = row_dict.get('emoji', '\U0001f517')
+                plugin_author = row_dict.get('plugin_author', '')
+                plugin_name = row_dict.get('plugin_name', '')
+                retriever_config = row_dict.get('retriever_config', {})
+                created_at = row_dict.get('created_at')
+
+                mapped_plugin_name = EXTERNAL_PLUGIN_NAME_MAPPING.get(plugin_name, plugin_name)
+                external_plugin_id = f'{plugin_author}/{mapped_plugin_name}'
+
+                self.ap.logger.info(
+                    f'RAG migration: processing external KB "{name}" ({kb_uuid}), '
+                    f'plugin: {plugin_author}/{plugin_name} -> {external_plugin_id}'
+                )
+
+                if isinstance(retriever_config, str):
+                    try:
+                        retriever_config = json.loads(retriever_config)
+                    except (json.JSONDecodeError, TypeError):
+                        retriever_config = {}
+
+                creation_fields = EXTERNAL_PLUGIN_CREATION_FIELDS.get(external_plugin_id)
+                if creation_fields is None:
+                    creation_settings_dict = retriever_config
+                    retrieval_settings_dict = {}
+                else:
+                    creation_settings_dict = {k: v for k, v in retriever_config.items() if k in creation_fields}
+                    retrieval_settings_dict = {k: v for k, v in retriever_config.items() if k not in creation_fields}
+
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'INSERT INTO knowledge_bases '
+                        '(uuid, name, description, emoji, created_at, updated_at, '
+                        'knowledge_engine_plugin_id, collection_id, creation_settings, retrieval_settings) '
+                        'VALUES (:uuid, :name, :description, :emoji, :created_at, :updated_at, '
+                        ':plugin_id, :collection_id, :creation_settings, :retrieval_settings);'
+                    ).bindparams(
+                        uuid=kb_uuid,
+                        name=name,
+                        description=description,
+                        emoji=emoji,
+                        created_at=created_at,
+                        updated_at=created_at,
+                        plugin_id=external_plugin_id,
+                        collection_id=kb_uuid,
+                        creation_settings=json.dumps(creation_settings_dict),
+                        retrieval_settings=json.dumps(retrieval_settings_dict),
+                    )
+                )
+
+                if external_plugin_id not in engine_id_set:
+                    warning = (
+                        f'External KB "{name}" ({kb_uuid}) record saved, but plugin {external_plugin_id} '
+                        f'is not installed yet. Install the connector plugin to use it.'
+                    )
+                    warnings.append(warning)
+                    task_context.trace(warning)
+                else:
+                    try:
+                        await self.ap.plugin_connector.rag_on_kb_create(
+                            external_plugin_id, kb_uuid, creation_settings_dict
+                        )
+                        task_context.trace(f'Restored external KB: {name} ({kb_uuid})')
+                    except Exception as e:
+                        warning = f'Failed to notify plugin for external KB {name} ({kb_uuid}): {e}'
+                        warnings.append(warning)
+                        task_context.trace(warning)
+
+            await self.ap.rag_mgr.load_knowledge_bases_from_db()
+
+        # Step 5: Clear migration flag
+        await self._set_migration_flag('false')
+        task_context.trace('RAG migration completed.', action='done')
+
+        if warnings:
+            task_context.trace(f'Completed with {len(warnings)} warning(s).')
+
+    async def initialize(self) -> None:
+        @self.route('/status', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            needed = await self._get_migration_flag()
+
+            internal_kb_count = 0
+            external_kb_count = 0
+
+            if needed:
+                if await self._table_exists('knowledge_bases_backup'):
+                    result = await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.text('SELECT COUNT(*) FROM knowledge_bases_backup;')
+                    )
+                    internal_kb_count = result.scalar() or 0
+
+                if await self._table_exists('external_knowledge_bases'):
+                    result = await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.text('SELECT COUNT(*) FROM external_knowledge_bases;')
+                    )
+                    external_kb_count = result.scalar() or 0
+
+            return self.success(
+                data={
+                    'needed': needed,
+                    'internal_kb_count': internal_kb_count,
+                    'external_kb_count': external_kb_count,
+                }
+            )
+
+        @self.route('/execute', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            needed = await self._get_migration_flag()
+            if not needed:
+                return self.http_status(400, -1, 'RAG migration is not needed')
+
+            data = await quart.request.get_json(silent=True) or {}
+            install_plugin = data.get('install_plugin', True)
+
+            ctx = taskmgr.TaskContext.new()
+            wrapper = self.ap.task_mgr.create_user_task(
+                self._execute_rag_migration(task_context=ctx, install_plugin=install_plugin),
+                kind='rag-migration',
+                name='rag-migration-execute',
+                label='Migrating knowledge bases to plugin architecture',
+                context=ctx,
+            )
+
+            return self.success(data={'task_id': wrapper.id})
+
+        @self.route('/dismiss', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            needed = await self._get_migration_flag()
+            if not needed:
+                return self.http_status(400, -1, 'RAG migration is not needed')
+
+            await self._set_migration_flag('false')
+            return self.success()

src/langbot/pkg/api/http/controller/groups/monitoring.py

@@ -456,6 +456,31 @@ class MonitoringRouterGroup(group.RouterGroup):
                     'platform',
                     'user_id',
                 ]
+            elif export_type == 'feedback':
+                data = await self.ap.monitoring_service.export_feedback(
+                    bot_ids=bot_ids if bot_ids else None,
+                    pipeline_ids=pipeline_ids if pipeline_ids else None,
+                    start_time=start_time,
+                    end_time=end_time,
+                    limit=limit,
+                )
+                headers = [
+                    'id',
+                    'timestamp',
+                    'feedback_id',
+                    'feedback_type',
+                    'feedback_content',
+                    'inaccurate_reasons',
+                    'bot_id',
+                    'bot_name',
+                    'pipeline_id',
+                    'pipeline_name',
+                    'session_id',
+                    'message_id',
+                    'stream_id',
+                    'user_id',
+                    'platform',
+                ]
             else:
                 return self.error(message=f'Invalid export type: {export_type}', code=400)
 
@@ -486,3 +511,63 @@ class MonitoringRouterGroup(group.RouterGroup):
             )
 
             return response, 200
+
+        @self.route('/feedback/stats', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def get_feedback_stats() -> str:
+            """Get feedback statistics"""
+            # Parse query parameters
+            bot_ids = quart.request.args.getlist('botId')
+            pipeline_ids = quart.request.args.getlist('pipelineId')
+            start_time_str = quart.request.args.get('startTime')
+            end_time_str = quart.request.args.get('endTime')
+
+            # Parse datetime
+            start_time = parse_iso_datetime(start_time_str)
+            end_time = parse_iso_datetime(end_time_str)
+
+            stats = await self.ap.monitoring_service.get_feedback_stats(
+                bot_ids=bot_ids if bot_ids else None,
+                pipeline_ids=pipeline_ids if pipeline_ids else None,
+                start_time=start_time,
+                end_time=end_time,
+            )
+
+            return self.success(data=stats)
+
+        @self.route('/feedback', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def get_feedback() -> str:
+            """Get feedback list"""
+            # Parse query parameters
+            bot_ids = quart.request.args.getlist('botId')
+            pipeline_ids = quart.request.args.getlist('pipelineId')
+            feedback_type_str = quart.request.args.get('feedbackType')
+            start_time_str = quart.request.args.get('startTime')
+            end_time_str = quart.request.args.get('endTime')
+            limit = int(quart.request.args.get('limit', 100))
+            offset = int(quart.request.args.get('offset', 0))
+
+            # Parse datetime
+            start_time = parse_iso_datetime(start_time_str)
+            end_time = parse_iso_datetime(end_time_str)
+
+            # Parse feedback type
+            feedback_type = int(feedback_type_str) if feedback_type_str else None
+
+            feedback_list, total = await self.ap.monitoring_service.get_feedback_list(
+                bot_ids=bot_ids if bot_ids else None,
+                pipeline_ids=pipeline_ids if pipeline_ids else None,
+                feedback_type=feedback_type,
+                start_time=start_time,
+                end_time=end_time,
+                limit=limit,
+                offset=offset,
+            )
+
+            return self.success(
+                data={
+                    'feedback': feedback_list,
+                    'total': total,
+                    'limit': limit,
+                    'offset': offset,
+                }
+            )

src/langbot/pkg/api/http/controller/groups/pipelines/embed.py

@@ -0,0 +1,384 @@
+"""Embed widget routes - serve embeddable chat widget for external websites.
+
+All user-facing URLs are keyed by **bot_uuid** (not pipeline_uuid) so that
+internal pipeline identifiers are never exposed to end-users.  Each handler
+resolves the bot_uuid to the owning ``web_page_bot`` RuntimeBot and extracts
+the bound pipeline_uuid for internal routing.
+"""
+
+import asyncio
+import datetime
+import json
+import logging
+import uuid
+import hmac
+import hashlib
+import time
+import re
+import httpx
+
+import quart
+
+from ... import group
+from ......utils import paths
+from ......platform.sources.websocket_manager import ws_connection_manager
+
+logger = logging.getLogger(__name__)
+
+# Cache the widget template content
+_widget_template_cache: str | None = None
+_logo_bytes_cache: bytes | None = None
+
+
+def _is_valid_uuid(s: str) -> bool:
+    return bool(re.match(r'^[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}$', s))
+
+
+def _get_widget_template() -> str:
+    """Load and cache the widget JS template."""
+    global _widget_template_cache
+    if _widget_template_cache is None:
+        template_path = paths.get_resource_path('templates/embed/widget.js')
+        with open(template_path, 'r', encoding='utf-8') as f:
+            _widget_template_cache = f.read()
+    return _widget_template_cache
+
+
+def _get_logo_bytes() -> bytes:
+    """Load and cache the logo image."""
+    global _logo_bytes_cache
+    if _logo_bytes_cache is None:
+        logo_path = paths.get_resource_path('templates/embed/logo.webp')
+        with open(logo_path, 'rb') as f:
+            _logo_bytes_cache = f.read()
+    return _logo_bytes_cache
+
+
+@group.group_class('embed', '/api/v1/embed')
+class EmbedRouterGroup(group.RouterGroup):
+    # -- helpers -------------------------------------------------------------
+
+    def _resolve_bot(self, bot_uuid: str):
+        """Resolve *bot_uuid* to ``(runtime_bot, pipeline_uuid)``.
+
+        Returns ``(None, None)`` when the bot does not exist, is not a
+        ``web_page_bot``, is disabled, or has no pipeline bound.
+        """
+        for bot in self.ap.platform_mgr.bots:
+            if (
+                bot.bot_entity.uuid == bot_uuid
+                and bot.bot_entity.adapter == 'web_page_bot'
+                and bot.bot_entity.enable
+                and bot.bot_entity.use_pipeline_uuid
+            ):
+                return bot, bot.bot_entity.use_pipeline_uuid
+        return None, None
+
+    def _get_bot_config(self, bot_uuid: str) -> dict:
+        for bot in self.ap.platform_mgr.bots:
+            if bot.bot_entity.uuid == bot_uuid and bot.bot_entity.adapter == 'web_page_bot':
+                return bot.bot_entity.adapter_config
+        return {}
+
+    async def _verify_session_token(self, request, bot_uuid: str) -> bool:
+        config = self._get_bot_config(bot_uuid)
+        secret = config.get('turnstile_secret_key', '')
+        if not secret:
+            return True
+        auth_header = request.headers.get('Authorization', '')
+        if not auth_header.startswith('Bearer '):
+            return False
+        token = auth_header[7:]
+        try:
+            ts_str, mac = token.split('.', 1)
+            ts = float(ts_str)
+            if time.time() - ts > 86400:
+                return False
+            expected_mac = hmac.new(secret.encode(), f'{ts_str}'.encode(), hashlib.sha256).hexdigest()
+            return hmac.compare_digest(mac, expected_mac)
+        except Exception:
+            return False
+
+    # -- routes --------------------------------------------------------------
+
+    async def initialize(self) -> None:
+        @self.route('/<bot_uuid>/turnstile/verify', methods=['POST'], auth_type=group.AuthType.NONE)
+        async def verify_turnstile(bot_uuid: str) -> str:
+            if not _is_valid_uuid(bot_uuid):
+                return self.http_status(400, -1, 'Invalid bot_uuid format')
+            runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
+            if runtime_bot is None:
+                return self.http_status(404, -1, 'Bot not found or not available')
+            try:
+                data = await quart.request.get_json()
+                token = data.get('token')
+                if not token:
+                    return self.http_status(400, -1, 'Token is required')
+
+                config = self._get_bot_config(bot_uuid)
+                secret = config.get('turnstile_secret_key', '')
+                if not secret:
+                    ts = time.time()
+                    return self.success(data={'token': f'{ts}.dummy'})
+
+                async with httpx.AsyncClient() as client:
+                    resp = await client.post(
+                        'https://challenges.cloudflare.com/turnstile/v0/siteverify',
+                        data={'secret': secret, 'response': token},
+                    )
+                    result = resp.json()
+
+                if not result.get('success'):
+                    return self.http_status(403, -1, 'Turnstile verification failed')
+
+                ts = time.time()
+                mac = hmac.new(secret.encode(), f'{ts}'.encode(), hashlib.sha256).hexdigest()
+                session_token = f'{ts}.{mac}'
+
+                return self.success(data={'token': session_token})
+
+            except Exception as e:
+                logger.error(f'Turnstile verify failed: {e}', exc_info=True)
+                return self.http_status(500, -1, 'Internal server error')
+
+        @self.route('/<bot_uuid>/widget.js', methods=['GET'], auth_type=group.AuthType.NONE)
+        async def serve_widget(bot_uuid: str) -> quart.Response:
+            """Serve the embed widget JavaScript with injected configuration."""
+            if not _is_valid_uuid(bot_uuid):
+                return self.http_status(400, -1, 'Invalid bot_uuid format')
+            runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
+            if runtime_bot is None:
+                return quart.Response(
+                    '// Bot not found or not available', status=404, content_type='application/javascript'
+                )
+            try:
+                template = _get_widget_template()
+            except FileNotFoundError:
+                return quart.Response('// Widget template not found', status=404, content_type='application/javascript')
+
+            base_url = quart.request.host_url.rstrip('/')
+            webhook_prefix = self.ap.instance_config.data.get('api', {}).get('webhook_prefix', '')
+            if webhook_prefix:
+                base_url = webhook_prefix.rstrip('/')
+
+            if not re.match(r'^https?://[a-zA-Z0-9._:/-]+$', base_url):
+                base_url = quart.request.host_url.rstrip('/')
+
+            config = self._get_bot_config(bot_uuid)
+            site_key = config.get('turnstile_site_key', '')
+            locale = config.get('language', 'en_US') or 'en_US'
+            bubble_icon = config.get('bubble_icon', 'logo') or 'logo'
+            widget_js = template.replace('__LANGBOT_TURNSTILE_SITE_KEY__', site_key)
+            widget_js = widget_js.replace('__LANGBOT_BOT_UUID__', bot_uuid)
+            widget_js = widget_js.replace('__LANGBOT_BASE_URL__', base_url)
+            widget_js = widget_js.replace('__LANGBOT_LOCALE__', locale)
+            widget_js = widget_js.replace('__LANGBOT_BUBBLE_ICON__', bubble_icon)
+
+            response = quart.Response(widget_js, content_type='application/javascript; charset=utf-8')
+            response.headers['Cache-Control'] = 'public, max-age=300'
+            return response
+
+        @self.route('/logo', methods=['GET'], auth_type=group.AuthType.NONE)
+        async def serve_logo() -> quart.Response:
+            """Serve the LangBot logo for the embed widget."""
+            try:
+                logo_data = _get_logo_bytes()
+            except FileNotFoundError:
+                return quart.Response('', status=404)
+
+            response = quart.Response(logo_data, content_type='image/webp')
+            response.headers['Cache-Control'] = 'public, max-age=86400'
+            return response
+
+        @self.route('/<bot_uuid>/messages/<session_type>', methods=['GET'], auth_type=group.AuthType.NONE)
+        async def get_embed_messages(bot_uuid: str, session_type: str) -> str:
+            if not _is_valid_uuid(bot_uuid):
+                return self.http_status(400, -1, 'Invalid bot_uuid format')
+            runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
+            if runtime_bot is None:
+                return self.http_status(404, -1, 'Bot not found or not available')
+            if not await self._verify_session_token(quart.request, bot_uuid):
+                return self.http_status(403, -1, 'Unauthorized or session expired')
+            try:
+                if session_type not in ['person', 'group']:
+                    return self.http_status(400, -1, 'session_type must be person or group')
+
+                websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
+                if not websocket_adapter:
+                    return self.http_status(404, -1, 'WebSocket adapter not found')
+
+                messages = websocket_adapter.get_websocket_messages(pipeline_uuid, session_type)
+                return self.success(data={'messages': messages})
+
+            except Exception as e:
+                logger.error(f'Failed to get embed messages: {e}', exc_info=True)
+                return self.http_status(500, -1, 'Internal server error')
+
+        @self.route('/<bot_uuid>/reset/<session_type>', methods=['POST'], auth_type=group.AuthType.NONE)
+        async def reset_embed_session(bot_uuid: str, session_type: str) -> str:
+            if not _is_valid_uuid(bot_uuid):
+                return self.http_status(400, -1, 'Invalid bot_uuid format')
+            runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
+            if runtime_bot is None:
+                return self.http_status(404, -1, 'Bot not found or not available')
+            if not await self._verify_session_token(quart.request, bot_uuid):
+                return self.http_status(403, -1, 'Unauthorized or session expired')
+            try:
+                if session_type not in ['person', 'group']:
+                    return self.http_status(400, -1, 'session_type must be person or group')
+
+                websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
+                if not websocket_adapter:
+                    return self.http_status(404, -1, 'WebSocket adapter not found')
+
+                websocket_adapter.reset_session(pipeline_uuid, session_type)
+                return self.success(data={'message': 'Session reset successfully'})
+
+            except Exception as e:
+                logger.error(f'Failed to reset embed session: {e}', exc_info=True)
+                return self.http_status(500, -1, 'Internal server error')
+
+        @self.route('/<bot_uuid>/feedback', methods=['POST'], auth_type=group.AuthType.NONE)
+        async def submit_feedback(bot_uuid: str) -> str:
+            if not _is_valid_uuid(bot_uuid):
+                return self.http_status(400, -1, 'Invalid bot_uuid format')
+            runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
+            if runtime_bot is None:
+                return self.http_status(404, -1, 'Bot not found or not available')
+            if not await self._verify_session_token(quart.request, bot_uuid):
+                return self.http_status(403, -1, 'Unauthorized or session expired')
+            try:
+                data = await quart.request.get_json()
+                message_id = data.get('message_id', '')
+                feedback_type = data.get('feedback_type')
+
+                if feedback_type not in (1, 2, 3):
+                    return self.http_status(400, -1, 'feedback_type must be 1 (like), 2 (dislike), or 3 (cancel)')
+
+                feedback_id = f'embed_{uuid.uuid4().hex[:12]}'
+
+                await self.ap.monitoring_service.record_feedback(
+                    feedback_id=feedback_id,
+                    feedback_type=feedback_type,
+                    bot_id=runtime_bot.bot_entity.uuid,
+                    bot_name=runtime_bot.bot_entity.name or bot_uuid,
+                    pipeline_id=pipeline_uuid,
+                    message_id=str(message_id),
+                    platform='web_page_bot',
+                )
+
+                return self.success(data={'feedback_id': feedback_id})
+
+            except Exception as e:
+                logger.error(f'Failed to record feedback: {e}', exc_info=True)
+                return self.http_status(500, -1, 'Internal server error')
+
+        # -- Embed WebSocket endpoint ----------------------------------------
+
+        @self.quart_app.websocket(self.path + '/<bot_uuid>/ws/connect')
+        async def embed_websocket_connect(bot_uuid: str):
+            """WebSocket connection for embed widget, keyed by bot_uuid."""
+            if not _is_valid_uuid(bot_uuid):
+                await quart.websocket.send(json.dumps({'type': 'error', 'message': 'Invalid bot_uuid format'}))
+                return
+
+            runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
+            if runtime_bot is None:
+                await quart.websocket.send(json.dumps({'type': 'error', 'message': 'Bot not found or not available'}))
+                return
+
+            session_type = quart.websocket.args.get('session_type', 'person')
+            if session_type not in ['person', 'group']:
+                await quart.websocket.send(
+                    json.dumps({'type': 'error', 'message': 'session_type must be person or group'})
+                )
+                return
+
+            websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
+            if not websocket_adapter:
+                await quart.websocket.send(json.dumps({'type': 'error', 'message': 'WebSocket adapter not found'}))
+                return
+
+            try:
+                connection = await ws_connection_manager.add_connection(
+                    websocket=quart.websocket._get_current_object(),
+                    pipeline_uuid=pipeline_uuid,
+                    session_type=session_type,
+                    metadata={'user_agent': quart.websocket.headers.get('User-Agent', '')},
+                )
+
+                await quart.websocket.send(
+                    json.dumps(
+                        {
+                            'type': 'connected',
+                            'connection_id': connection.connection_id,
+                            'bot_uuid': bot_uuid,
+                            'session_type': session_type,
+                            'timestamp': connection.created_at.isoformat(),
+                        }
+                    )
+                )
+
+                logger.debug(
+                    f'Embed WebSocket connected: {connection.connection_id} '
+                    f'(bot={bot_uuid}, pipeline={pipeline_uuid}, session_type={session_type})'
+                )
+
+                receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter, runtime_bot))
+                send_task = asyncio.create_task(self._handle_send(connection))
+
+                try:
+                    await asyncio.gather(receive_task, send_task)
+                except Exception as e:
+                    logger.error(f'Embed WebSocket task error: {e}')
+                finally:
+                    await ws_connection_manager.remove_connection(connection.connection_id)
+
+            except Exception as e:
+                logger.error(f'Embed WebSocket connection error: {e}', exc_info=True)
+                try:
+                    await quart.websocket.send(json.dumps({'type': 'error', 'message': 'Internal server error'}))
+                except Exception:
+                    pass
+
+    # -- WebSocket receive/send helpers --------------------------------------
+
+    async def _handle_receive(self, connection, websocket_adapter, owner_bot):
+        try:
+            while connection.is_active:
+                message = await quart.websocket.receive()
+                await ws_connection_manager.update_activity(connection.connection_id)
+
+                try:
+                    data = json.loads(message)
+                    message_type = data.get('type', 'message')
+
+                    if message_type == 'ping':
+                        await connection.send_queue.put(
+                            {'type': 'pong', 'timestamp': datetime.datetime.now().isoformat()}
+                        )
+                    elif message_type == 'message':
+                        await websocket_adapter.handle_websocket_message(connection, data, owner_bot=owner_bot)
+                    elif message_type == 'disconnect':
+                        break
+
+                except json.JSONDecodeError:
+                    await connection.send_queue.put({'type': 'error', 'message': 'Invalid JSON format'})
+
+        except Exception as e:
+            logger.error(f'Embed receive error: {e}', exc_info=True)
+        finally:
+            connection.is_active = False
+
+    async def _handle_send(self, connection):
+        try:
+            while connection.is_active:
+                try:
+                    message = await asyncio.wait_for(connection.send_queue.get(), timeout=1.0)
+                    await quart.websocket.send(json.dumps(message))
+                except asyncio.TimeoutError:
+                    continue
+        except Exception as e:
+            logger.error(f'Embed send error: {e}', exc_info=True)
+        finally:
+            connection.is_active = False

src/langbot/pkg/api/http/controller/groups/pipelines/websocket_chat.py

@@ -43,6 +43,9 @@ class WebSocketChatRouterGroup(group.RouterGroup):
                     await quart.websocket.send(json.dumps({'type': 'error', 'message': 'WebSocket adapter not found'}))
                     return
 
+                # Find the owning bot for this pipeline (e.g. a web_page_bot)
+                owner_bot = self._find_owner_bot(pipeline_uuid)
+
                 # 注册连接
                 connection = await ws_connection_manager.add_connection(
                     websocket=quart.websocket._get_current_object(),
@@ -70,7 +73,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
                 )
 
                 # 创建接收和发送任务
-                receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter))
+                receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter, owner_bot))
                 send_task = asyncio.create_task(self._handle_send(connection))
 
                 # 等待任务完成
@@ -178,7 +181,14 @@ class WebSocketChatRouterGroup(group.RouterGroup):
             except Exception as e:
                 return self.http_status(500, -1, f'Internal server error: {str(e)}')
 
-    async def _handle_receive(self, connection, websocket_adapter):
+    def _find_owner_bot(self, pipeline_uuid: str):
+        """Find a user-created bot (e.g. web_page_bot) that owns this pipeline."""
+        for bot in self.ap.platform_mgr.bots:
+            if bot.bot_entity.adapter == 'web_page_bot' and bot.bot_entity.use_pipeline_uuid == pipeline_uuid:
+                return bot
+        return None
+
+    async def _handle_receive(self, connection, websocket_adapter, owner_bot=None):
         """处理接收消息的任务"""
         try:
             while connection.is_active:
@@ -203,7 +213,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
                         logger.debug(f'收到消息: {data} from {connection.connection_id}')
 
                         # 处理消息（不等待响应，响应会通过broadcast异步发送）
-                        await websocket_adapter.handle_websocket_message(connection, data)
+                        await websocket_adapter.handle_websocket_message(connection, data, owner_bot=owner_bot)
 
                     elif message_type == 'disconnect':
                         # 客户端主动断开

src/langbot/pkg/api/http/controller/groups/plugins.py

@@ -6,11 +6,38 @@ import re
 import httpx
 import uuid
 import os
+import posixpath
 
 from .....core import taskmgr
 from .. import group
 from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
 
+# Resolve the built-in page SDK JS from the langbot_plugin package
+_PAGE_SDK_PATH = None
+try:
+    import langbot_plugin.assets as _assets_pkg
+
+    _candidate = os.path.join(os.path.dirname(_assets_pkg.__file__), 'langbot-page-sdk.js')
+    if os.path.exists(_candidate):
+        _PAGE_SDK_PATH = _candidate
+except Exception:
+    pass
+
+
+def _normalize_plugin_asset_path(filepath: str) -> str | None:
+    filepath = filepath.replace('\\', '/')
+    if filepath.startswith('/'):
+        return None
+
+    normalized = posixpath.normpath(filepath)
+    if normalized == '.' or normalized.startswith('../') or normalized == '..':
+        return None
+
+    if normalized.startswith('components/pages/'):
+        return normalized
+
+    return f'assets/{normalized}'
+
 
 @group.group_class('plugins', '/api/v1/plugins')
 class PluginsRouterGroup(group.RouterGroup):
@@ -27,6 +54,15 @@ class PluginsRouterGroup(group.RouterGroup):
         return None
 
     async def initialize(self) -> None:
+        @self.route('/_sdk/page-sdk.js', methods=['GET'], auth_type=group.AuthType.NONE)
+        async def _() -> quart.Response:
+            """Serve the built-in LangBot page SDK JavaScript."""
+            if _PAGE_SDK_PATH and os.path.exists(_PAGE_SDK_PATH):
+                with open(_PAGE_SDK_PATH, 'r') as f:
+                    content = f.read()
+                return quart.Response(content, mimetype='application/javascript')
+            return quart.Response('// SDK not found', status=404, mimetype='application/javascript')
+
         @self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
         async def _() -> str:
             plugins = await self.ap.plugin_connector.list_plugins()
@@ -135,15 +171,62 @@ class PluginsRouterGroup(group.RouterGroup):
             return quart.Response(icon_data, mimetype=mime_type)
 
         @self.route(
-            '/<author>/<plugin_name>/assets/<filepath>',
+            '/<author>/<plugin_name>/assets/<path:filepath>',
             methods=['GET'],
             auth_type=group.AuthType.NONE,
         )
         async def _(author: str, plugin_name: str, filepath: str) -> quart.Response:
-            asset_data = await self.ap.plugin_connector.get_plugin_assets(author, plugin_name, filepath)
+            asset_path = _normalize_plugin_asset_path(filepath)
+            if asset_path is None:
+                return quart.Response('Asset not found', status=404)
+
+            asset_data = await self.ap.plugin_connector.get_plugin_assets(author, plugin_name, asset_path)
+            if not asset_data.get('asset_base64'):
+                return quart.Response('Asset not found', status=404)
             asset_bytes = base64.b64decode(asset_data['asset_base64'])
             mime_type = asset_data['mime_type']
-            return quart.Response(asset_bytes, mimetype=mime_type)
+            resp = quart.Response(asset_bytes, mimetype=mime_type)
+            # CSP for HTML pages served to sandboxed iframes (opaque origin).
+            # 'self' doesn't work in sandboxed iframes — use actual server origin.
+            if mime_type and mime_type.startswith('text/html'):
+                origin = f'{quart.request.scheme}://{quart.request.host}'
+                resp.headers['Content-Security-Policy'] = (
+                    f'default-src {origin}; '
+                    f"script-src {origin} 'unsafe-inline'; "
+                    f"style-src {origin} 'unsafe-inline'; "
+                    f'img-src {origin} data:; '
+                    f'connect-src {origin}; '
+                    "frame-src 'none'; "
+                    "object-src 'none'"
+                )
+            return resp
+
+        @self.route(
+            '/<author>/<plugin_name>/page-api',
+            methods=['POST'],
+            auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
+        )
+        async def _(author: str, plugin_name: str) -> str:
+            """Forward a page API request to the plugin."""
+            data = await quart.request.json
+            if not isinstance(data, dict):
+                return self.http_status(400, -1, 'invalid request body')
+
+            page_id = data.get('page_id', '')
+            endpoint = data.get('endpoint', '')
+            method = data.get('method', 'POST')
+            body = data.get('body')
+            if not isinstance(page_id, str) or not isinstance(endpoint, str) or not isinstance(method, str):
+                return self.http_status(400, -1, 'invalid page api request')
+            if not endpoint.startswith('/') or '..' in endpoint:
+                return self.http_status(400, -1, 'invalid endpoint')
+
+            result = await self.ap.plugin_connector.handle_page_api(
+                author, plugin_name, page_id, endpoint, method.upper(), body
+            )
+            if result.get('error'):
+                return self.http_status(400, -1, result['error'])
+            return self.success(data=result.get('data'))
 
         @self.route('/github/releases', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
         async def _() -> str:
@@ -265,6 +348,8 @@ class PluginsRouterGroup(group.RouterGroup):
                 return self.http_status(400, -1, 'Missing asset_url parameter')
 
             ctx = taskmgr.TaskContext.new()
+            ctx.metadata['plugin_name'] = f'{owner}/{repo}'
+            ctx.metadata['install_source'] = 'github'
             install_info = {
                 'asset_url': asset_url,
                 'owner': owner,
@@ -295,12 +380,17 @@ class PluginsRouterGroup(group.RouterGroup):
 
             data = await quart.request.json
 
+            plugin_author = data.get('plugin_author', '')
+            plugin_name = data.get('plugin_name', '')
+
             ctx = taskmgr.TaskContext.new()
+            ctx.metadata['plugin_name'] = f'{plugin_author}/{plugin_name}'
+            ctx.metadata['install_source'] = 'marketplace'
             wrapper = self.ap.task_mgr.create_user_task(
                 self.ap.plugin_connector.install_plugin(PluginInstallSource.MARKETPLACE, data, task_context=ctx),
                 kind='plugin-operation',
                 name='plugin-install-marketplace',
-                label=f'Installing plugin from marketplace ...{data}',
+                label=f'Installing plugin from marketplace {plugin_author}/{plugin_name}',
                 context=ctx,
             )
 
@@ -323,11 +413,13 @@ class PluginsRouterGroup(group.RouterGroup):
             }
 
             ctx = taskmgr.TaskContext.new()
+            ctx.metadata['plugin_name'] = file.filename or 'local plugin'
+            ctx.metadata['install_source'] = 'local'
             wrapper = self.ap.task_mgr.create_user_task(
                 self.ap.plugin_connector.install_plugin(PluginInstallSource.LOCAL, data, task_context=ctx),
                 kind='plugin-operation',
                 name='plugin-install-local',
-                label=f'Installing plugin from local ...{file.filename}',
+                label=f'Installing plugin from local {file.filename}',
                 context=ctx,
             )
 

src/langbot/pkg/api/http/controller/groups/provider/models.py

@@ -97,3 +97,51 @@ class EmbeddingModelsRouterGroup(group.RouterGroup):
             await self.ap.embedding_models_service.test_embedding_model(model_uuid, json_data)
 
             return self.success()
+
+
+@group.group_class('models/rerank', '/api/v1/provider/models/rerank')
+class RerankModelsRouterGroup(group.RouterGroup):
+    async def initialize(self) -> None:
+        @self.route('', methods=['GET', 'POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def _() -> str:
+            if quart.request.method == 'GET':
+                provider_uuid = quart.request.args.get('provider_uuid')
+                if provider_uuid:
+                    return self.success(
+                        data={
+                            'models': await self.ap.rerank_models_service.get_rerank_models_by_provider(provider_uuid)
+                        }
+                    )
+                return self.success(data={'models': await self.ap.rerank_models_service.get_rerank_models()})
+            elif quart.request.method == 'POST':
+                json_data = await quart.request.json
+                model_uuid = await self.ap.rerank_models_service.create_rerank_model(json_data)
+                return self.success(data={'uuid': model_uuid})
+
+        @self.route('/<model_uuid>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def _(model_uuid: str) -> str:
+            if quart.request.method == 'GET':
+                model = await self.ap.rerank_models_service.get_rerank_model(model_uuid)
+
+                if model is None:
+                    return self.http_status(404, -1, 'model not found')
+
+                return self.success(data={'model': model})
+            elif quart.request.method == 'PUT':
+                json_data = await quart.request.json
+
+                await self.ap.rerank_models_service.update_rerank_model(model_uuid, json_data)
+
+                return self.success()
+            elif quart.request.method == 'DELETE':
+                await self.ap.rerank_models_service.delete_rerank_model(model_uuid)
+
+                return self.success()
+
+        @self.route('/<model_uuid>/test', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def _(model_uuid: str) -> str:
+            json_data = await quart.request.json
+
+            await self.ap.rerank_models_service.test_rerank_model(model_uuid, json_data)
+
+            return self.success()

src/langbot/pkg/api/http/controller/groups/provider/providers.py

@@ -15,6 +15,7 @@ class ModelProvidersRouterGroup(group.RouterGroup):
                     counts = await self.ap.provider_service.get_provider_model_counts(provider['uuid'])
                     provider['llm_count'] = counts['llm_count']
                     provider['embedding_count'] = counts['embedding_count']
+                    provider['rerank_count'] = counts['rerank_count']
                 return self.success(data={'providers': providers})
             elif quart.request.method == 'POST':
                 json_data = await quart.request.json
@@ -32,6 +33,7 @@ class ModelProvidersRouterGroup(group.RouterGroup):
                 counts = await self.ap.provider_service.get_provider_model_counts(provider_uuid)
                 provider['llm_count'] = counts['llm_count']
                 provider['embedding_count'] = counts['embedding_count']
+                provider['rerank_count'] = counts['rerank_count']
                 return self.success(data={'provider': provider})
             elif quart.request.method == 'PUT':
                 json_data = await quart.request.json
@@ -43,3 +45,12 @@ class ModelProvidersRouterGroup(group.RouterGroup):
                     return self.success()
                 except ValueError as e:
                     return self.http_status(400, -1, str(e))
+
+        @self.route('/<provider_uuid>/scan-models', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
+        async def _(provider_uuid: str) -> str:
+            try:
+                model_type = quart.request.args.get('type')
+                result = await self.ap.provider_service.scan_provider_models(provider_uuid, model_type)
+                return self.success(data=result)
+            except ValueError as e:
+                return self.http_status(400, -1, str(e))

src/langbot/pkg/api/http/controller/groups/resources/tools.py

@@ -0,0 +1,45 @@
+from __future__ import annotations
+
+from ... import group
+
+
+@group.group_class('tools', '/api/v1/tools')
+class ToolsRouterGroup(group.RouterGroup):
+    async def initialize(self) -> None:
+        @self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            """获取所有可用工具列表"""
+            tools = await self.ap.tool_mgr.get_all_tools()
+
+            tool_list = []
+            for tool in tools:
+                tool_list.append(
+                    {
+                        'name': tool.name,
+                        'description': tool.description,
+                        'human_desc': tool.human_desc,
+                        'parameters': tool.parameters,
+                    }
+                )
+
+            return self.success(data={'tools': tool_list})
+
+        @self.route('/<tool_name>', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _(tool_name: str) -> str:
+            """获取特定工具详情"""
+            tools = await self.ap.tool_mgr.get_all_tools()
+
+            for tool in tools:
+                if tool.name == tool_name:
+                    return self.success(
+                        data={
+                            'tool': {
+                                'name': tool.name,
+                                'description': tool.description,
+                                'human_desc': tool.human_desc,
+                                'parameters': tool.parameters,
+                            }
+                        }
+                    )
+
+            return self.http_status(404, -1, f'Tool not found: {tool_name}')

src/langbot/pkg/api/http/controller/groups/system.py

@@ -1,7 +1,11 @@
+import json
+
 import quart
+import sqlalchemy
 
 from .. import group
 from .....utils import constants
+from .....entity.persistence.metadata import Metadata
 
 
 @group.group_class('system', '/api/v1/system')
@@ -9,6 +13,24 @@ class SystemRouterGroup(group.RouterGroup):
     async def initialize(self) -> None:
         @self.route('/info', methods=['GET'], auth_type=group.AuthType.NONE)
         async def _() -> str:
+            # Read wizard_status and wizard_progress from metadata table
+            wizard_status = 'none'
+            wizard_progress = None
+            try:
+                result = await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.select(Metadata).where(Metadata.key.in_(['wizard_status', 'wizard_progress']))
+                )
+                for row in result:
+                    if row.key == 'wizard_status':
+                        wizard_status = row.value
+                    elif row.key == 'wizard_progress':
+                        try:
+                            wizard_progress = json.loads(row.value)
+                        except (json.JSONDecodeError, TypeError):
+                            wizard_progress = None
+            except Exception:
+                pass
+
             return self.success(
                 data={
                     'version': constants.semantic_version,
@@ -27,17 +49,83 @@ class SystemRouterGroup(group.RouterGroup):
                         'disable_models_service', False
                     ),
                     'limitation': self.ap.instance_config.data.get('system', {}).get('limitation', {}),
+                    'wizard_status': wizard_status,
+                    'wizard_progress': wizard_progress,
                 }
             )
 
+        @self.route('/wizard/completed', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            """Mark wizard status in metadata table and clear progress.
+
+            Accepts JSON body: { "status": "skipped" | "completed" }
+            """
+            data = await quart.request.get_json(silent=True) or {}
+            status = data.get('status', 'completed')
+            if status not in ('skipped', 'completed'):
+                return self.http_status(400, 400, f'Invalid wizard status: {status}')
+
+            try:
+                result = await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.select(Metadata).where(Metadata.key == 'wizard_status')
+                )
+                if result.first():
+                    await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.update(Metadata).where(Metadata.key == 'wizard_status').values(value=status)
+                    )
+                else:
+                    await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.insert(Metadata).values(key='wizard_status', value=status)
+                    )
+
+                # Clear wizard progress when wizard is completed/skipped
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.delete(Metadata).where(Metadata.key == 'wizard_progress')
+                )
+            except Exception as e:
+                return self.http_status(500, 500, f'Failed to update wizard status: {e}')
+
+            return self.success(data={})
+
+        @self.route('/wizard/progress', methods=['PUT'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            """Save wizard progress to metadata table.
+
+            Accepts JSON body with wizard state fields:
+            { "step": int, "selected_adapter": str|null, "created_bot_uuid": str|null,
+              "bot_saved": bool, "selected_runner": str|null }
+            """
+            data = await quart.request.get_json(silent=True) or {}
+            progress_json = json.dumps(data, ensure_ascii=False)
+
+            try:
+                result = await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.select(Metadata).where(Metadata.key == 'wizard_progress')
+                )
+                if result.first():
+                    await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.update(Metadata).where(Metadata.key == 'wizard_progress').values(value=progress_json)
+                    )
+                else:
+                    await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.insert(Metadata).values(key='wizard_progress', value=progress_json)
+                    )
+            except Exception as e:
+                return self.http_status(500, 500, f'Failed to save wizard progress: {e}')
+
+            return self.success(data={})
+
         @self.route('/tasks', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
         async def _() -> str:
             task_type = quart.request.args.get('type')
+            task_kind = quart.request.args.get('kind')
 
             if task_type == '':
                 task_type = None
+            if task_kind == '':
+                task_kind = None
 
-            return self.success(data=self.ap.task_mgr.get_tasks_dict(task_type))
+            return self.success(data=self.ap.task_mgr.get_tasks_dict(task_type, task_kind))
 
         @self.route('/tasks/<task_id>', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
         async def _(task_id: str) -> str:
@@ -48,6 +136,10 @@ class SystemRouterGroup(group.RouterGroup):
 
             return self.success(data=task.to_dict())
 
+        @self.route('/storage-analysis', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            return self.success(data=await self.ap.maintenance_service.get_storage_analysis())
+
         @self.route('/debug/exec', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
         async def _() -> str:
             if not constants.debug_mode:

src/langbot/pkg/api/http/controller/main.py

@@ -105,6 +105,29 @@ class HTTPController:
             ):
                 if os.path.exists(os.path.join(frontend_path, path + '.html')):
                     path += '.html'
+                elif not path.startswith('api/'):
+                    # SPA fallback: serve index.html for all non-API, non-static routes
+                    # so that React Router can handle client-side routing (Vite SPA).
+                    # For /home/* sub-routes, first try parent .html files (pre-rendered pages).
+                    if path.startswith('home/'):
+                        segments = path.rstrip('/').split('/')
+                        for i in range(len(segments) - 1, 0, -1):
+                            parent_path = '/'.join(segments[:i]) + '.html'
+                            if os.path.exists(os.path.join(frontend_path, parent_path)):
+                                response = await quart.send_from_directory(
+                                    frontend_path, parent_path, mimetype='text/html'
+                                )
+                                response.headers['Cache-Control'] = 'no-cache, no-store, must-revalidate'
+                                response.headers['Pragma'] = 'no-cache'
+                                response.headers['Expires'] = '0'
+                                return response
+
+                    # Fallback to index.html for SPA client-side routing
+                    response = await quart.send_from_directory(frontend_path, 'index.html', mimetype='text/html')
+                    response.headers['Cache-Control'] = 'no-cache, no-store, must-revalidate'
+                    response.headers['Pragma'] = 'no-cache'
+                    response.headers['Expires'] = '0'
+                    return response
                 else:
                     return await quart.send_from_directory(frontend_path, '404.html')
 

src/langbot/pkg/api/http/service/bot.py

@@ -70,12 +70,17 @@ class BotService:
             'lark',
         ]:
             webhook_prefix = self.ap.instance_config.data['api'].get('webhook_prefix', 'http://127.0.0.1:5300')
+            extra_webhook_prefix = self.ap.instance_config.data['api'].get('extra_webhook_prefix', '')
             webhook_url = f'/bots/{bot_uuid}'
             adapter_runtime_values['webhook_url'] = webhook_url
             adapter_runtime_values['webhook_full_url'] = f'{webhook_prefix}{webhook_url}'
+            adapter_runtime_values['extra_webhook_full_url'] = (
+                f'{extra_webhook_prefix}{webhook_url}' if extra_webhook_prefix else ''
+            )
         else:
             adapter_runtime_values['webhook_url'] = None
             adapter_runtime_values['webhook_full_url'] = None
+            adapter_runtime_values['extra_webhook_full_url'] = None
 
         persistence_bot['adapter_runtime_values'] = adapter_runtime_values
 

src/langbot/pkg/api/http/service/maintenance.py

@@ -0,0 +1,309 @@
+from __future__ import annotations
+
+import datetime
+import os
+import re
+from pathlib import Path
+from typing import Any
+
+import sqlalchemy
+
+from ....core import app
+from ....entity.persistence import bstorage as persistence_bstorage
+from ....entity.persistence import monitoring as persistence_monitoring
+
+
+LOG_FILE_PATTERN = re.compile(r'^langbot-(\d{4}-\d{2}-\d{2})\.log(?:\.\d+)?$')
+DEFAULT_UPLOAD_FILE_RETENTION_DAYS = 7
+DEFAULT_LOG_RETENTION_DAYS = 3
+
+
+class MaintenanceService:
+    """Storage maintenance and diagnostics."""
+
+    ap: app.Application
+
+    def __init__(self, ap: app.Application) -> None:
+        self.ap = ap
+
+    async def cleanup_expired_files(self) -> dict[str, int]:
+        cleanup_cfg = self.ap.instance_config.data.get('storage', {}).get('cleanup', {})
+        upload_retention_days = self._positive_int(
+            cleanup_cfg.get('uploaded_file_retention_days'),
+            DEFAULT_UPLOAD_FILE_RETENTION_DAYS,
+            'storage.cleanup.uploaded_file_retention_days',
+        )
+        log_retention_days = self._positive_int(
+            cleanup_cfg.get('log_retention_days'),
+            DEFAULT_LOG_RETENTION_DAYS,
+            'storage.cleanup.log_retention_days',
+        )
+
+        return {
+            'uploaded_files': await self._cleanup_expired_uploaded_files(upload_retention_days),
+            'log_files': self._cleanup_expired_log_files(log_retention_days),
+        }
+
+    async def get_storage_analysis(self) -> dict[str, Any]:
+        cleanup_cfg = self.ap.instance_config.data.get('storage', {}).get('cleanup', {})
+        upload_retention_days = self._positive_int(
+            cleanup_cfg.get('uploaded_file_retention_days'),
+            DEFAULT_UPLOAD_FILE_RETENTION_DAYS,
+            'storage.cleanup.uploaded_file_retention_days',
+        )
+        log_retention_days = self._positive_int(
+            cleanup_cfg.get('log_retention_days'),
+            DEFAULT_LOG_RETENTION_DAYS,
+            'storage.cleanup.log_retention_days',
+        )
+
+        database_cfg = self.ap.instance_config.data.get('database', {})
+        database_type = database_cfg.get('use', 'sqlite')
+        database_path = (
+            Path(database_cfg.get('sqlite', {}).get('path', 'data/langbot.db')) if database_type == 'sqlite' else None
+        )
+        roots: list[tuple[str, Path | None]] = [
+            ('database', database_path),
+            ('logs', Path('data/logs')),
+            ('storage', Path('data/storage')),
+            ('vector_store', Path('data/chroma')),
+            ('plugins', Path('data/plugins')),
+            ('mcp', Path('data/mcp')),
+            ('temp', Path('data/temp')),
+        ]
+
+        sections = []
+        for key, path in roots:
+            sections.append(
+                {
+                    'key': key,
+                    'path': str(path) if path else '',
+                    'exists': path.exists() if path else False,
+                    'size_bytes': self._path_size(path) if path else 0,
+                    'file_count': self._file_count(path) if path else 0,
+                }
+            )
+
+        monitoring_counts = await self._monitoring_counts()
+        binary_storage = await self._binary_storage_stats()
+        upload_candidates = await self._expired_uploaded_candidates(upload_retention_days)
+        log_candidates = self._expired_log_candidates(log_retention_days)
+
+        return {
+            'generated_at': datetime.datetime.now(datetime.timezone.utc).isoformat(),
+            'cleanup_policy': {
+                'uploaded_file_retention_days': upload_retention_days,
+                'log_retention_days': log_retention_days,
+            },
+            'sections': sections,
+            'database': {
+                'type': database_type,
+                'monitoring_counts': monitoring_counts,
+                'binary_storage': binary_storage,
+            },
+            'cleanup_candidates': {
+                'uploaded_files': upload_candidates,
+                'log_files': log_candidates,
+            },
+            'tasks': self.ap.task_mgr.get_stats() if self.ap.task_mgr else {},
+        }
+
+    async def _cleanup_expired_uploaded_files(self, retention_days: int) -> int:
+        provider = self.ap.storage_mgr.storage_provider
+        provider_name = provider.__class__.__name__
+        if provider_name == 'LocalStorageProvider':
+            candidates = self._expired_local_upload_candidates(retention_days, include_paths=True)
+            deleted = 0
+            for item in candidates:
+                try:
+                    os.remove(item['path'])
+                    deleted += 1
+                except FileNotFoundError:
+                    pass
+                except Exception as e:
+                    self.ap.logger.warning(f'Failed to delete expired uploaded file {item["key"]}: {e}')
+            return deleted
+
+        if provider_name == 'S3StorageProvider':
+            return await self._cleanup_expired_s3_uploaded_files(retention_days)
+
+        return 0
+
+    async def _expired_uploaded_candidates(self, retention_days: int) -> list[dict[str, Any]]:
+        provider_name = self.ap.storage_mgr.storage_provider.__class__.__name__
+        if provider_name == 'LocalStorageProvider':
+            return self._expired_local_upload_candidates(retention_days)
+        if provider_name == 'S3StorageProvider':
+            return await self._expired_s3_upload_candidates(retention_days)
+        return []
+
+    async def _cleanup_expired_s3_uploaded_files(self, retention_days: int) -> int:
+        provider = self.ap.storage_mgr.storage_provider
+        candidates = await self._expired_s3_upload_candidates(retention_days)
+        deleted = 0
+        for item in candidates:
+            await provider.delete(item['key'])
+            deleted += 1
+        return deleted
+
+    async def _expired_s3_upload_candidates(self, retention_days: int) -> list[dict[str, Any]]:
+        provider = self.ap.storage_mgr.storage_provider
+        cutoff = datetime.datetime.now(datetime.timezone.utc) - datetime.timedelta(days=retention_days)
+        candidates = []
+        paginator = provider.s3_client.get_paginator('list_objects_v2')
+
+        for page in paginator.paginate(Bucket=provider.bucket_name):
+            for obj in page.get('Contents', []):
+                key = obj.get('Key', '')
+                last_modified = obj.get('LastModified')
+                if not self._is_uploaded_file_key(key):
+                    continue
+                if last_modified and last_modified < cutoff:
+                    candidates.append(
+                        {
+                            'key': key,
+                            'size_bytes': obj.get('Size', 0),
+                            'modified_at': last_modified.isoformat(),
+                        }
+                    )
+
+        return candidates
+
+    def _cleanup_expired_log_files(self, retention_days: int) -> int:
+        deleted = 0
+        for item in self._expired_log_candidates(retention_days, include_paths=True):
+            try:
+                os.remove(item['path'])
+                deleted += 1
+            except FileNotFoundError:
+                pass
+            except Exception as e:
+                self.ap.logger.warning(f'Failed to delete expired log file {item["name"]}: {e}')
+        return deleted
+
+    def _expired_local_upload_candidates(
+        self, retention_days: int, include_paths: bool = False
+    ) -> list[dict[str, Any]]:
+        storage_root = Path('data/storage')
+        if not storage_root.exists():
+            return []
+
+        cutoff = datetime.datetime.now().timestamp() - retention_days * 86400
+        candidates = []
+        for entry in storage_root.iterdir():
+            if not entry.is_file() or not self._is_uploaded_file_key(entry.name):
+                continue
+            stat = entry.stat()
+            if stat.st_mtime >= cutoff:
+                continue
+            item = {
+                'key': entry.name,
+                'size_bytes': stat.st_size,
+                'modified_at': datetime.datetime.fromtimestamp(stat.st_mtime, datetime.timezone.utc).isoformat(),
+            }
+            if include_paths:
+                item['path'] = str(entry)
+            candidates.append(item)
+        return candidates
+
+    def _expired_log_candidates(self, retention_days: int, include_paths: bool = False) -> list[dict[str, Any]]:
+        log_root = Path('data/logs')
+        if not log_root.exists():
+            return []
+
+        cutoff_date = datetime.date.today() - datetime.timedelta(days=retention_days - 1)
+        candidates = []
+        for entry in log_root.iterdir():
+            if not entry.is_file():
+                continue
+            match = LOG_FILE_PATTERN.match(entry.name)
+            if not match:
+                continue
+            try:
+                file_date = datetime.date.fromisoformat(match.group(1))
+            except ValueError:
+                continue
+            if file_date >= cutoff_date:
+                continue
+            stat = entry.stat()
+            item = {
+                'name': entry.name,
+                'date': file_date.isoformat(),
+                'size_bytes': stat.st_size,
+            }
+            if include_paths:
+                item['path'] = str(entry)
+            candidates.append(item)
+        return candidates
+
+    def _is_uploaded_file_key(self, key: str) -> bool:
+        return '/' not in key and not key.startswith('plugin_config_')
+
+    async def _monitoring_counts(self) -> dict[str, int]:
+        tables = {
+            'messages': persistence_monitoring.MonitoringMessage.id,
+            'llm_calls': persistence_monitoring.MonitoringLLMCall.id,
+            'embedding_calls': persistence_monitoring.MonitoringEmbeddingCall.id,
+            'errors': persistence_monitoring.MonitoringError.id,
+            'sessions': persistence_monitoring.MonitoringSession.session_id,
+            'feedback': persistence_monitoring.MonitoringFeedback.id,
+        }
+        counts: dict[str, int] = {}
+        for key, column in tables.items():
+            result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(sqlalchemy.func.count(column)))
+            counts[key] = result.scalar() or 0
+        return counts
+
+    async def _binary_storage_stats(self) -> dict[str, Any]:
+        count_result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(sqlalchemy.func.count(persistence_bstorage.BinaryStorage.unique_key))
+        )
+        size_bytes = None
+        try:
+            size_result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.select(sqlalchemy.func.sum(sqlalchemy.func.length(persistence_bstorage.BinaryStorage.value)))
+            )
+            size_bytes = size_result.scalar() or 0
+        except Exception as e:
+            self.ap.logger.warning(f'Failed to estimate binary storage size: {e}')
+
+        return {
+            'count': count_result.scalar() or 0,
+            'size_bytes': size_bytes,
+        }
+
+    def _path_size(self, path: Path) -> int:
+        if not path.exists():
+            return 0
+        if path.is_file():
+            return path.stat().st_size
+        total = 0
+        for root, _, files in os.walk(path):
+            for file_name in files:
+                file_path = Path(root) / file_name
+                try:
+                    total += file_path.stat().st_size
+                except FileNotFoundError:
+                    pass
+        return total
+
+    def _file_count(self, path: Path) -> int:
+        if not path.exists():
+            return 0
+        if path.is_file():
+            return 1
+        count = 0
+        for _, _, files in os.walk(path):
+            count += len(files)
+        return count
+
+    def _positive_int(self, value: Any, default: int, name: str) -> int:
+        try:
+            parsed = int(value)
+        except (TypeError, ValueError):
+            self.ap.logger.warning(f'Invalid {name}: {value!r}, using {default}')
+            return default
+        if parsed < 1:
+            self.ap.logger.warning(f'Invalid {name}: {value!r}, using {default}')
+            return default
+        return parsed

src/langbot/pkg/api/http/service/model.py

@@ -23,6 +23,17 @@ def _parse_provider_api_keys(provider_dict: dict) -> dict:
     return provider_dict
 
 
+def _runtime_model_data(model_uuid: str, model_data: dict) -> dict:
+    """Return model data for rebuilding runtime models after an update.
+
+    Update payloads intentionally omit uuid before writing to the database.
+    Runtime model entities still need the stable uuid so pipeline configs can
+    resolve the in-memory model immediately after an edit, without requiring a
+    process restart.
+    """
+    return {**model_data, 'uuid': model_uuid}
+
+
 class LLMModelsService:
     ap: app.Application
 
@@ -105,11 +116,16 @@ class LLMModelsService:
                 )
             )
             pipeline = result.first()
-            if pipeline is not None and pipeline.config['ai']['local-agent']['model'] == '':
-                pipeline_config = pipeline.config
-                pipeline_config['ai']['local-agent']['model'] = model_data['uuid']
-                pipeline_data = {'config': pipeline_config}
-                await self.ap.pipeline_service.update_pipeline(pipeline.uuid, pipeline_data)
+            if pipeline is not None:
+                model_config = pipeline.config.get('ai', {}).get('local-agent', {}).get('model', {})
+                if not model_config.get('primary', ''):
+                    pipeline_config = pipeline.config
+                    pipeline_config['ai']['local-agent']['model'] = {
+                        'primary': model_data['uuid'],
+                        'fallbacks': [],
+                    }
+                    pipeline_data = {'config': pipeline_config}
+                    await self.ap.pipeline_service.update_pipeline(pipeline.uuid, pipeline_data)
 
         return model_data['uuid']
 
@@ -168,7 +184,7 @@ class LLMModelsService:
             raise Exception('provider not found')
 
         runtime_llm_model = await self.ap.model_mgr.load_llm_model_with_provider(
-            persistence_model.LLMModel(**model_data),
+            persistence_model.LLMModel(**_runtime_model_data(model_uuid, model_data)),
             runtime_provider,
         )
         self.ap.model_mgr.llm_models.append(runtime_llm_model)
@@ -329,7 +345,7 @@ class EmbeddingModelsService:
             raise Exception('provider not found')
 
         runtime_embedding_model = await self.ap.model_mgr.load_embedding_model_with_provider(
-            persistence_model.EmbeddingModel(**model_data),
+            persistence_model.EmbeddingModel(**_runtime_model_data(model_uuid, model_data)),
             runtime_provider,
         )
         self.ap.model_mgr.embedding_models.append(runtime_embedding_model)
@@ -362,3 +378,162 @@ class EmbeddingModelsService:
             input_text=['Hello, world!'],
             extra_args={},
         )
+
+
+class RerankModelsService:
+    ap: app.Application
+
+    def __init__(self, ap: app.Application) -> None:
+        self.ap = ap
+
+    async def get_rerank_models(self) -> list[dict]:
+        """Get all rerank models with provider info"""
+        result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.RerankModel))
+        models = result.all()
+
+        providers_result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_model.ModelProvider)
+        )
+        providers = {p.uuid: p for p in providers_result.all()}
+
+        models_list = []
+        for model in models:
+            model_dict = self.ap.persistence_mgr.serialize_model(persistence_model.RerankModel, model)
+            provider = providers.get(model.provider_uuid)
+            if provider:
+                provider_dict = self.ap.persistence_mgr.serialize_model(persistence_model.ModelProvider, provider)
+                model_dict['provider'] = _parse_provider_api_keys(provider_dict)
+            models_list.append(model_dict)
+
+        return models_list
+
+    async def get_rerank_models_by_provider(self, provider_uuid: str) -> list[dict]:
+        """Get rerank models by provider UUID"""
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_model.RerankModel).where(
+                persistence_model.RerankModel.provider_uuid == provider_uuid
+            )
+        )
+        models = result.all()
+        return [self.ap.persistence_mgr.serialize_model(persistence_model.RerankModel, m) for m in models]
+
+    async def create_rerank_model(self, model_data: dict, preserve_uuid: bool = False) -> str:
+        """Create a new rerank model"""
+        if not preserve_uuid:
+            model_data['uuid'] = str(uuid.uuid4())
+
+        if 'provider' in model_data:
+            provider_data = model_data.pop('provider')
+            if provider_data.get('uuid'):
+                model_data['provider_uuid'] = provider_data['uuid']
+            else:
+                provider_uuid = await self.ap.provider_service.find_or_create_provider(
+                    requester=provider_data.get('requester', ''),
+                    base_url=provider_data.get('base_url', ''),
+                    api_keys=provider_data.get('api_keys', []),
+                )
+                model_data['provider_uuid'] = provider_uuid
+
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.insert(persistence_model.RerankModel).values(**model_data)
+        )
+
+        runtime_provider = self.ap.model_mgr.provider_dict.get(model_data['provider_uuid'])
+        if runtime_provider is None:
+            raise Exception('provider not found')
+
+        runtime_rerank_model = await self.ap.model_mgr.load_rerank_model_with_provider(
+            persistence_model.RerankModel(**model_data),
+            runtime_provider,
+        )
+        self.ap.model_mgr.rerank_models.append(runtime_rerank_model)
+
+        return model_data['uuid']
+
+    async def get_rerank_model(self, model_uuid: str) -> dict | None:
+        """Get a single rerank model with provider info"""
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_model.RerankModel).where(persistence_model.RerankModel.uuid == model_uuid)
+        )
+        model = result.first()
+        if model is None:
+            return None
+
+        model_dict = self.ap.persistence_mgr.serialize_model(persistence_model.RerankModel, model)
+
+        provider_result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_model.ModelProvider).where(
+                persistence_model.ModelProvider.uuid == model.provider_uuid
+            )
+        )
+        provider = provider_result.first()
+        if provider:
+            provider_dict = self.ap.persistence_mgr.serialize_model(persistence_model.ModelProvider, provider)
+            model_dict['provider'] = _parse_provider_api_keys(provider_dict)
+
+        return model_dict
+
+    async def update_rerank_model(self, model_uuid: str, model_data: dict) -> None:
+        """Update an existing rerank model"""
+        if 'uuid' in model_data:
+            del model_data['uuid']
+
+        if 'provider' in model_data:
+            provider_data = model_data.pop('provider')
+            if provider_data.get('uuid'):
+                model_data['provider_uuid'] = provider_data['uuid']
+            else:
+                provider_uuid = await self.ap.provider_service.find_or_create_provider(
+                    requester=provider_data.get('requester', ''),
+                    base_url=provider_data.get('base_url', ''),
+                    api_keys=provider_data.get('api_keys', []),
+                )
+                model_data['provider_uuid'] = provider_uuid
+
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.update(persistence_model.RerankModel)
+            .where(persistence_model.RerankModel.uuid == model_uuid)
+            .values(**model_data)
+        )
+
+        await self.ap.model_mgr.remove_rerank_model(model_uuid)
+
+        runtime_provider = self.ap.model_mgr.provider_dict.get(model_data['provider_uuid'])
+        if runtime_provider is None:
+            raise Exception('provider not found')
+
+        runtime_rerank_model = await self.ap.model_mgr.load_rerank_model_with_provider(
+            persistence_model.RerankModel(**_runtime_model_data(model_uuid, model_data)),
+            runtime_provider,
+        )
+        self.ap.model_mgr.rerank_models.append(runtime_rerank_model)
+
+    async def delete_rerank_model(self, model_uuid: str) -> None:
+        """Delete a rerank model"""
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.delete(persistence_model.RerankModel).where(persistence_model.RerankModel.uuid == model_uuid)
+        )
+        await self.ap.model_mgr.remove_rerank_model(model_uuid)
+
+    async def test_rerank_model(self, model_uuid: str, model_data: dict) -> None:
+        """Test a rerank model"""
+        runtime_rerank_model: model_requester.RuntimeRerankModel | None = None
+
+        if model_uuid != '_':
+            for model in self.ap.model_mgr.rerank_models:
+                if model.model_entity.uuid == model_uuid:
+                    runtime_rerank_model = model
+                    break
+            if runtime_rerank_model is None:
+                raise Exception('model not found')
+        else:
+            runtime_rerank_model = await self.ap.model_mgr.init_temporary_runtime_rerank_model(model_data)
+
+        await runtime_rerank_model.provider.invoke_rerank(
+            model=runtime_rerank_model,
+            query='What is artificial intelligence?',
+            documents=[
+                'Artificial intelligence is a branch of computer science.',
+                'The weather is nice today.',
+            ],
+        )

src/langbot/pkg/api/http/service/monitoring.py

@@ -16,6 +16,121 @@ class MonitoringService:
     def __init__(self, ap: app.Application) -> None:
         self.ap = ap
 
+    # ========== Cleanup Methods ==========
+
+    async def cleanup_expired_records(self, retention_days: int, batch_size: int = 1000) -> dict[str, int]:
+        """Delete monitoring records older than the specified retention period.
+
+        Args:
+            retention_days: Number of days to retain records.
+            batch_size: Maximum rows to delete per table batch.
+
+        Returns:
+            A dict mapping table name to the number of deleted rows.
+        """
+        if retention_days < 1:
+            raise ValueError('retention_days must be >= 1')
+        if batch_size < 1:
+            raise ValueError('batch_size must be >= 1')
+
+        cutoff = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None) - datetime.timedelta(
+            days=retention_days
+        )
+
+        tables_and_columns: list[tuple[str, type, sqlalchemy.Column, sqlalchemy.Column]] = [
+            (
+                'monitoring_messages',
+                persistence_monitoring.MonitoringMessage,
+                persistence_monitoring.MonitoringMessage.timestamp,
+                persistence_monitoring.MonitoringMessage.id,
+            ),
+            (
+                'monitoring_llm_calls',
+                persistence_monitoring.MonitoringLLMCall,
+                persistence_monitoring.MonitoringLLMCall.timestamp,
+                persistence_monitoring.MonitoringLLMCall.id,
+            ),
+            (
+                'monitoring_embedding_calls',
+                persistence_monitoring.MonitoringEmbeddingCall,
+                persistence_monitoring.MonitoringEmbeddingCall.timestamp,
+                persistence_monitoring.MonitoringEmbeddingCall.id,
+            ),
+            (
+                'monitoring_errors',
+                persistence_monitoring.MonitoringError,
+                persistence_monitoring.MonitoringError.timestamp,
+                persistence_monitoring.MonitoringError.id,
+            ),
+            (
+                'monitoring_sessions',
+                persistence_monitoring.MonitoringSession,
+                persistence_monitoring.MonitoringSession.last_activity,
+                persistence_monitoring.MonitoringSession.session_id,
+            ),
+            (
+                'monitoring_feedback',
+                persistence_monitoring.MonitoringFeedback,
+                persistence_monitoring.MonitoringFeedback.timestamp,
+                persistence_monitoring.MonitoringFeedback.id,
+            ),
+        ]
+
+        deleted_counts: dict[str, int] = {}
+
+        for table_name, model_cls, ts_column, pk_column in tables_and_columns:
+            deleted_counts[table_name] = await self._delete_expired_in_batches(
+                model_cls=model_cls,
+                ts_column=ts_column,
+                pk_column=pk_column,
+                cutoff=cutoff,
+                batch_size=batch_size,
+            )
+
+        if sum(deleted_counts.values()) > 0:
+            await self._release_sqlite_space()
+
+        return deleted_counts
+
+    async def _delete_expired_in_batches(
+        self,
+        model_cls: type,
+        ts_column: sqlalchemy.Column,
+        pk_column: sqlalchemy.Column,
+        cutoff: datetime.datetime,
+        batch_size: int,
+    ) -> int:
+        deleted_total = 0
+
+        while True:
+            select_result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.select(pk_column).where(ts_column < cutoff).limit(batch_size)
+            )
+            pk_values = list(select_result.scalars().all())
+            if not pk_values:
+                break
+
+            delete_result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.delete(model_cls).where(pk_column.in_(pk_values))
+            )
+            deleted = delete_result.rowcount or 0
+            deleted_total += deleted
+
+            if len(pk_values) < batch_size:
+                break
+
+        return deleted_total
+
+    async def _release_sqlite_space(self) -> None:
+        database_type = self.ap.instance_config.data.get('database', {}).get('use', 'sqlite')
+        if database_type != 'sqlite':
+            return
+
+        async with self.ap.persistence_mgr.get_db_engine().connect() as conn:
+            autocommit_conn = await conn.execution_options(isolation_level='AUTOCOMMIT')
+            await autocommit_conn.execute(sqlalchemy.text('PRAGMA wal_checkpoint(TRUNCATE)'))
+            await autocommit_conn.execute(sqlalchemy.text('VACUUM'))
+
     # ========== Recording Methods ==========
 
     async def record_message(
@@ -30,6 +145,7 @@ class MonitoringService:
         level: str = 'info',
         platform: str | None = None,
         user_id: str | None = None,
+        user_name: str | None = None,
         runner_name: str | None = None,
         variables: str | None = None,
         role: str = 'user',
@@ -49,6 +165,7 @@ class MonitoringService:
             'level': level,
             'platform': platform,
             'user_id': user_id,
+            'user_name': user_name,
             'runner_name': runner_name,
             'variables': variables,
             'role': role,
@@ -152,6 +269,7 @@ class MonitoringService:
         pipeline_name: str,
         platform: str | None = None,
         user_id: str | None = None,
+        user_name: str | None = None,
     ) -> None:
         """Record a new session"""
         session_data = {
@@ -166,6 +284,7 @@ class MonitoringService:
             'is_active': True,
             'platform': platform,
             'user_id': user_id,
+            'user_name': user_name,
         }
 
         await self.ap.persistence_mgr.execute_async(
@@ -1128,3 +1247,314 @@ class MonitoringService:
             }
             for row in rows
         ]
+
+    # ========== Feedback Methods ==========
+
+    async def record_feedback(
+        self,
+        feedback_id: str,
+        feedback_type: int,
+        feedback_content: str | None = None,
+        inaccurate_reasons: list[str] | None = None,
+        bot_id: str | None = None,
+        bot_name: str | None = None,
+        pipeline_id: str | None = None,
+        pipeline_name: str | None = None,
+        session_id: str | None = None,
+        message_id: str | None = None,
+        stream_id: str | None = None,
+        user_id: str | None = None,
+        platform: str | None = None,
+    ) -> str:
+        """Record user feedback (like/dislike) from AI Bot conversation.
+
+        Args:
+            feedback_id: Unique feedback identifier from platform (e.g., WeChat Work)
+            feedback_type: 1 = like (thumbs up), 2 = dislike (thumbs down)
+            feedback_content: Optional user feedback text
+            inaccurate_reasons: List of reasons for inaccurate response (for dislike)
+            bot_id: Bot ID
+            bot_name: Bot name
+            pipeline_id: Pipeline ID
+            pipeline_name: Pipeline name
+            session_id: Session ID
+            message_id: Message ID
+            stream_id: Stream ID (for WeChat Work streaming messages)
+            user_id: User ID
+            platform: Platform name (e.g., 'wecom')
+
+        Returns:
+            The record ID
+        """
+        import json
+
+        now = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
+        reasons_json = json.dumps(inaccurate_reasons, ensure_ascii=False) if inaccurate_reasons else None
+
+        MonitoringFeedback = persistence_monitoring.MonitoringFeedback
+
+        # Handle cancel feedback (type=3): delete existing record
+        if feedback_type == 3:
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.delete(MonitoringFeedback).where(MonitoringFeedback.feedback_id == feedback_id)
+            )
+            return None
+
+        # Check if record with this feedback_id already exists
+        existing_result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(MonitoringFeedback).where(MonitoringFeedback.feedback_id == feedback_id)
+        )
+        existing_row = existing_result.first()
+
+        if existing_row:
+            # UPDATE existing record
+            existing = existing_row[0] if isinstance(existing_row, tuple) else existing_row
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.update(MonitoringFeedback)
+                .where(MonitoringFeedback.feedback_id == feedback_id)
+                .values(
+                    timestamp=now,
+                    feedback_type=feedback_type,
+                    feedback_content=feedback_content,
+                    inaccurate_reasons=reasons_json,
+                    bot_id=bot_id or existing.bot_id,
+                    bot_name=bot_name or existing.bot_name,
+                    pipeline_id=pipeline_id or existing.pipeline_id,
+                    pipeline_name=pipeline_name or existing.pipeline_name,
+                    session_id=session_id or existing.session_id,
+                    message_id=message_id or existing.message_id,
+                    stream_id=stream_id or existing.stream_id,
+                    user_id=user_id or existing.user_id,
+                    platform=platform or existing.platform,
+                )
+            )
+            return existing.id
+        else:
+            # INSERT new record with IntegrityError defense
+            record_id = str(uuid.uuid4())
+            record_data = {
+                'id': record_id,
+                'timestamp': now,
+                'feedback_id': feedback_id,
+                'feedback_type': feedback_type,
+                'feedback_content': feedback_content,
+                'inaccurate_reasons': reasons_json,
+                'bot_id': bot_id,
+                'bot_name': bot_name,
+                'pipeline_id': pipeline_id,
+                'pipeline_name': pipeline_name,
+                'session_id': session_id,
+                'message_id': message_id,
+                'stream_id': stream_id,
+                'user_id': user_id,
+                'platform': platform,
+            }
+            try:
+                await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(MonitoringFeedback).values(record_data))
+                return record_id
+            except Exception:
+                # UNIQUE constraint conflict (concurrent feedback for same feedback_id)
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.update(MonitoringFeedback)
+                    .where(MonitoringFeedback.feedback_id == feedback_id)
+                    .values(
+                        timestamp=now,
+                        feedback_type=feedback_type,
+                        feedback_content=feedback_content,
+                        inaccurate_reasons=reasons_json,
+                    )
+                )
+                return feedback_id
+
+    async def get_feedback_stats(
+        self,
+        bot_ids: list[str] | None = None,
+        pipeline_ids: list[str] | None = None,
+        start_time: datetime.datetime | None = None,
+        end_time: datetime.datetime | None = None,
+    ) -> dict:
+        """Get feedback statistics.
+
+        Returns:
+            Dictionary with total likes, dislikes, and breakdown by bot/pipeline
+        """
+        conditions = []
+
+        if bot_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
+        if pipeline_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
+        if start_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
+        if end_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
+
+        # Get total likes (feedback_type = 1)
+        likes_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id)).where(
+            persistence_monitoring.MonitoringFeedback.feedback_type == 1
+        )
+        if conditions:
+            likes_query = likes_query.where(sqlalchemy.and_(*conditions))
+        likes_result = await self.ap.persistence_mgr.execute_async(likes_query)
+        total_likes = likes_result.scalar() or 0
+
+        # Get total dislikes (feedback_type = 2)
+        dislikes_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id)).where(
+            persistence_monitoring.MonitoringFeedback.feedback_type == 2
+        )
+        if conditions:
+            dislikes_query = dislikes_query.where(sqlalchemy.and_(*conditions))
+        dislikes_result = await self.ap.persistence_mgr.execute_async(dislikes_query)
+        total_dislikes = dislikes_result.scalar() or 0
+
+        # Get total feedback count
+        total_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id))
+        if conditions:
+            total_query = total_query.where(sqlalchemy.and_(*conditions))
+        total_result = await self.ap.persistence_mgr.execute_async(total_query)
+        total_feedback = total_result.scalar() or 0
+
+        # Calculate satisfaction rate
+        satisfaction_rate = (total_likes / total_feedback * 100) if total_feedback > 0 else 0
+
+        # Get feedback by bot
+        bot_stats_query = sqlalchemy.select(
+            persistence_monitoring.MonitoringFeedback.bot_id,
+            persistence_monitoring.MonitoringFeedback.bot_name,
+            sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id).label('total'),
+            sqlalchemy.func.sum(
+                sqlalchemy.case((persistence_monitoring.MonitoringFeedback.feedback_type == 1, 1), else_=0)
+            ).label('likes'),
+            sqlalchemy.func.sum(
+                sqlalchemy.case((persistence_monitoring.MonitoringFeedback.feedback_type == 2, 1), else_=0)
+            ).label('dislikes'),
+        ).group_by(
+            persistence_monitoring.MonitoringFeedback.bot_id,
+            persistence_monitoring.MonitoringFeedback.bot_name,
+        )
+        if conditions:
+            bot_stats_query = bot_stats_query.where(sqlalchemy.and_(*conditions))
+        bot_stats_result = await self.ap.persistence_mgr.execute_async(bot_stats_query)
+        bot_stats = [
+            {
+                'bot_id': row.bot_id,
+                'bot_name': row.bot_name,
+                'total': row.total,
+                'likes': row.likes or 0,
+                'dislikes': row.dislikes or 0,
+            }
+            for row in bot_stats_result.all()
+        ]
+
+        return {
+            'total_feedback': total_feedback,
+            'total_likes': total_likes,
+            'total_dislikes': total_dislikes,
+            'satisfaction_rate': round(satisfaction_rate, 2),
+            'by_bot': bot_stats,
+        }
+
+    async def get_feedback_list(
+        self,
+        bot_ids: list[str] | None = None,
+        pipeline_ids: list[str] | None = None,
+        feedback_type: int | None = None,
+        start_time: datetime.datetime | None = None,
+        end_time: datetime.datetime | None = None,
+        limit: int = 100,
+        offset: int = 0,
+    ) -> tuple[list[dict], int]:
+        """Get feedback list with filters."""
+        conditions = []
+
+        if bot_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
+        if pipeline_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
+        if feedback_type is not None:
+            conditions.append(persistence_monitoring.MonitoringFeedback.feedback_type == feedback_type)
+        if start_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
+        if end_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
+
+        # Get total count
+        count_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id))
+        if conditions:
+            count_query = count_query.where(sqlalchemy.and_(*conditions))
+        count_result = await self.ap.persistence_mgr.execute_async(count_query)
+        total = count_result.scalar() or 0
+
+        # Get feedback list
+        query = sqlalchemy.select(persistence_monitoring.MonitoringFeedback).order_by(
+            persistence_monitoring.MonitoringFeedback.timestamp.desc()
+        )
+        if conditions:
+            query = query.where(sqlalchemy.and_(*conditions))
+        query = query.limit(limit).offset(offset)
+
+        result = await self.ap.persistence_mgr.execute_async(query)
+        rows = result.all()
+
+        return (
+            [
+                self.ap.persistence_mgr.serialize_model(
+                    persistence_monitoring.MonitoringFeedback, row[0] if isinstance(row, tuple) else row
+                )
+                for row in rows
+            ],
+            total,
+        )
+
+    async def export_feedback(
+        self,
+        bot_ids: list[str] | None = None,
+        pipeline_ids: list[str] | None = None,
+        start_time: datetime.datetime | None = None,
+        end_time: datetime.datetime | None = None,
+        limit: int = 100000,
+    ) -> list[dict]:
+        """Export feedback as list of dictionaries for CSV conversion."""
+        conditions = []
+
+        if bot_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
+        if pipeline_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
+        if start_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
+        if end_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
+
+        query = sqlalchemy.select(persistence_monitoring.MonitoringFeedback).order_by(
+            persistence_monitoring.MonitoringFeedback.timestamp.desc()
+        )
+        if conditions:
+            query = query.where(sqlalchemy.and_(*conditions))
+        query = query.limit(limit)
+
+        result = await self.ap.persistence_mgr.execute_async(query)
+        rows = result.all()
+
+        return [
+            {
+                'id': row[0].id if isinstance(row, tuple) else row.id,
+                'timestamp': self._format_timestamp(row[0].timestamp if isinstance(row, tuple) else row.timestamp),
+                'feedback_id': row[0].feedback_id if isinstance(row, tuple) else row.feedback_id,
+                'feedback_type': 'like'
+                if (row[0].feedback_type if isinstance(row, tuple) else row.feedback_type) == 1
+                else 'dislike',
+                'feedback_content': row[0].feedback_content if isinstance(row, tuple) else row.feedback_content,
+                'inaccurate_reasons': row[0].inaccurate_reasons if isinstance(row, tuple) else row.inaccurate_reasons,
+                'bot_id': row[0].bot_id if isinstance(row, tuple) else row.bot_id,
+                'bot_name': row[0].bot_name if isinstance(row, tuple) else row.bot_name,
+                'pipeline_id': row[0].pipeline_id if isinstance(row, tuple) else row.pipeline_id,
+                'pipeline_name': row[0].pipeline_name if isinstance(row, tuple) else row.pipeline_name,
+                'session_id': row[0].session_id if isinstance(row, tuple) else row.session_id,
+                'message_id': row[0].message_id if isinstance(row, tuple) else row.message_id,
+                'stream_id': row[0].stream_id if isinstance(row, tuple) else row.stream_id,
+                'user_id': row[0].user_id if isinstance(row, tuple) else row.user_id,
+                'platform': row[0].platform if isinstance(row, tuple) else row.platform,
+            }
+            for row in rows
+        ]

src/langbot/pkg/api/http/service/provider.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import uuid
+import traceback
 
 import sqlalchemy
 
@@ -97,6 +98,14 @@ class ModelProviderService:
         if embedding_result.first() is not None:
             raise ValueError('Cannot delete provider: Embedding models still reference it')
 
+        rerank_result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(persistence_model.RerankModel).where(
+                persistence_model.RerankModel.provider_uuid == provider_uuid
+            )
+        )
+        if rerank_result.first() is not None:
+            raise ValueError('Cannot delete provider: Rerank models still reference it')
+
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.delete(persistence_model.ModelProvider).where(
                 persistence_model.ModelProvider.uuid == provider_uuid
@@ -121,7 +130,14 @@ class ModelProviderService:
         )
         embedding_count = embedding_result.scalar() or 0
 
-        return {'llm_count': llm_count, 'embedding_count': embedding_count}
+        rerank_result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(sqlalchemy.func.count())
+            .select_from(persistence_model.RerankModel)
+            .where(persistence_model.RerankModel.provider_uuid == provider_uuid)
+        )
+        rerank_count = rerank_result.scalar() or 0
+
+        return {'llm_count': llm_count, 'embedding_count': embedding_count, 'rerank_count': rerank_count}
 
     async def find_or_create_provider(self, requester: str, base_url: str, api_keys: list) -> str:
         """Find existing provider or create new one"""
@@ -164,3 +180,66 @@ class ModelProviderService:
             .values(api_keys=[api_key])
         )
         await self.ap.model_mgr.reload_provider('00000000-0000-0000-0000-000000000000')
+
+    async def scan_provider_models(self, provider_uuid: str, model_type: str | None = None) -> dict:
+        provider = await self.get_provider(provider_uuid)
+        if provider is None:
+            raise ValueError('provider not found')
+
+        runtime_provider = await self.ap.model_mgr.load_provider(provider)
+
+        try:
+            scan_result = await runtime_provider.requester.scan_models(
+                runtime_provider.token_mgr.get_token() if runtime_provider.token_mgr.tokens else None
+            )
+        except NotImplementedError:
+            raise ValueError('current provider does not support model scanning')
+        except Exception as exc:
+            self.ap.logger.warning(
+                f'Failed to scan models for provider {provider_uuid}: {exc}\n{traceback.format_exc()}'
+            )
+            raise ValueError(str(exc)) from exc
+
+        if isinstance(scan_result, dict):
+            scanned_models = scan_result.get('models', [])
+            debug_info = scan_result.get('debug')
+        else:
+            scanned_models = scan_result
+            debug_info = None
+
+        llm_models = await self.ap.llm_model_service.get_llm_models_by_provider(provider_uuid)
+        embedding_models = await self.ap.embedding_models_service.get_embedding_models_by_provider(provider_uuid)
+        existing_llm_names = {model['name'] for model in llm_models}
+        existing_embedding_names = {model['name'] for model in embedding_models}
+
+        filtered_models = []
+        for model in scanned_models:
+            scanned_type = model.get('type', 'llm')
+            if model_type and scanned_type != model_type:
+                continue
+
+            model_name = model.get('name') or model.get('id')
+            if not model_name:
+                continue
+
+            filtered_models.append(
+                {
+                    'id': model.get('id', model_name),
+                    'name': model_name,
+                    'type': scanned_type,
+                    'abilities': model.get('abilities', []),
+                    'display_name': model.get('display_name'),
+                    'description': model.get('description'),
+                    'context_length': model.get('context_length'),
+                    'owned_by': model.get('owned_by'),
+                    'input_modalities': model.get('input_modalities', []),
+                    'output_modalities': model.get('output_modalities', []),
+                    'already_added': (
+                        model_name in existing_embedding_names
+                        if scanned_type == 'embedding'
+                        else model_name in existing_llm_names
+                    ),
+                }
+            )
+
+        return {'models': filtered_models, 'debug': debug_info}

src/langbot/pkg/api/http/service/space.py

@@ -179,7 +179,7 @@ class SpaceService:
         space_url = space_config['url']
 
         session = httpclient.get_session()
-        async with session.get(f'{space_url}/api/v1/models') as response:
+        async with session.get(f'{space_url}/api/v1/models', params={'page_size': 100}) as response:
             if response.status != 200:
                 raise ValueError(f'Failed to get models: {await response.text()}')
             data = await response.json()

src/langbot/pkg/api/http/service/user.py

@@ -65,8 +65,8 @@ class UserService:
 
         user_obj = result_list[0]
 
-        # Check if this is a Space account
-        if user_obj.account_type == 'space':
+        # Check if this user has a local password set
+        if not user_obj.password:
             raise ValueError('请使用 Space 账户登录')
 
         ph = argon2.PasswordHasher()
@@ -108,9 +108,8 @@ class UserService:
         if user_obj is None:
             raise ValueError('User not found')
 
-        # Space accounts cannot change password locally
-        if user_obj.account_type == 'space':
-            raise ValueError('Space account cannot change password locally')
+        if not user_obj.password:
+            raise ValueError('No local password set, please set a password first')
 
         ph.verify(user_obj.password, current_password)
 

src/langbot/pkg/core/app.py

@@ -9,6 +9,7 @@ from ..platform import botmgr as im_mgr
 from ..platform.webhook_pusher import WebhookPusher
 from ..provider.session import sessionmgr as llm_session_mgr
 from ..provider.modelmgr import modelmgr as llm_model_mgr
+
 from langbot.pkg.provider.tools import toolmgr as llm_tool_mgr
 from ..config import manager as config_mgr
 from ..command import cmdmgr
@@ -30,6 +31,8 @@ from ..api.http.service import mcp as mcp_service
 from ..api.http.service import apikey as apikey_service
 from ..api.http.service import webhook as webhook_service
 from ..api.http.service import monitoring as monitoring_service
+from ..api.http.service import maintenance as maintenance_service
+
 from ..discover import engine as discover_engine
 from ..storage import mgr as storagemgr
 from ..utils import logcache
@@ -131,6 +134,8 @@ class Application:
 
     embedding_models_service: model_service.EmbeddingModelsService = None
 
+    rerank_models_service: model_service.RerankModelsService = None
+
     provider_service: provider_service.ModelProviderService = None
 
     pipeline_service: pipeline_service.PipelineService = None
@@ -151,6 +156,8 @@ class Application:
 
     monitoring_service: monitoring_service.MonitoringService = None
 
+    maintenance_service: maintenance_service.MaintenanceService = None
+
     def __init__(self):
         pass
 
@@ -186,6 +193,77 @@ class Application:
                 scopes=[core_entities.LifecycleControlScope.APPLICATION],
             )
 
+            # Start monitoring data cleanup task if enabled
+            monitoring_cfg = self.instance_config.data.get('monitoring', {})
+            auto_cleanup_cfg = monitoring_cfg.get('auto_cleanup', {})
+            if auto_cleanup_cfg.get('enabled', True):
+                retention_days = self._get_positive_int_config(
+                    auto_cleanup_cfg.get('retention_days', 30),
+                    default=30,
+                    name='monitoring.auto_cleanup.retention_days',
+                )
+                delete_batch_size = self._get_positive_int_config(
+                    auto_cleanup_cfg.get('delete_batch_size', 1000),
+                    default=1000,
+                    name='monitoring.auto_cleanup.delete_batch_size',
+                )
+                check_interval_hours = self._get_positive_float_config(
+                    auto_cleanup_cfg.get('check_interval_hours', 1),
+                    default=1,
+                    name='monitoring.auto_cleanup.check_interval_hours',
+                )
+
+                async def monitoring_cleanup_loop():
+                    check_interval_seconds = check_interval_hours * 3600
+                    while True:
+                        try:
+                            deleted = await self.monitoring_service.cleanup_expired_records(
+                                retention_days,
+                                batch_size=delete_batch_size,
+                            )
+                            total_deleted = sum(deleted.values())
+                            if total_deleted > 0:
+                                self.logger.info(
+                                    f'Monitoring auto-cleanup: deleted {total_deleted} expired records '
+                                    f'(retention={retention_days}d): {deleted}'
+                                )
+                        except Exception as e:
+                            self.logger.warning(f'Monitoring auto-cleanup error: {e}')
+                        await asyncio.sleep(check_interval_seconds)
+
+                self.task_mgr.create_task(
+                    monitoring_cleanup_loop(),
+                    name='monitoring-cleanup',
+                    scopes=[core_entities.LifecycleControlScope.APPLICATION],
+                )
+
+            # Start storage/log maintenance task if enabled
+            storage_cleanup_cfg = self.instance_config.data.get('storage', {}).get('cleanup', {})
+            if storage_cleanup_cfg.get('enabled', True) and self.maintenance_service is not None:
+                check_interval_hours = self._get_positive_float_config(
+                    storage_cleanup_cfg.get('check_interval_hours', 1),
+                    default=1,
+                    name='storage.cleanup.check_interval_hours',
+                )
+
+                async def storage_cleanup_loop():
+                    check_interval_seconds = check_interval_hours * 3600
+                    while True:
+                        try:
+                            deleted = await self.maintenance_service.cleanup_expired_files()
+                            total_deleted = sum(deleted.values())
+                            if total_deleted > 0:
+                                self.logger.info(f'Storage maintenance: deleted expired files: {deleted}')
+                        except Exception as e:
+                            self.logger.warning(f'Storage maintenance error: {e}')
+                        await asyncio.sleep(check_interval_seconds)
+
+                self.task_mgr.create_task(
+                    storage_cleanup_loop(),
+                    name='storage-maintenance',
+                    scopes=[core_entities.LifecycleControlScope.APPLICATION],
+                )
+
             self.task_mgr.create_task(
                 never_ending(),
                 name='never-ending-task',
@@ -200,6 +278,28 @@ class Application:
             self.logger.error(f'Application runtime fatal exception: {e}')
             self.logger.debug(f'Traceback: {traceback.format_exc()}')
 
+    def _get_positive_int_config(self, value, default: int, name: str) -> int:
+        try:
+            parsed = int(value)
+        except (TypeError, ValueError):
+            self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
+            return default
+        if parsed < 1:
+            self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
+            return default
+        return parsed
+
+    def _get_positive_float_config(self, value, default: float, name: str) -> float:
+        try:
+            parsed = float(value)
+        except (TypeError, ValueError):
+            self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
+            return default
+        if parsed <= 0:
+            self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
+            return default
+        return parsed
+
     def dispose(self):
         self.plugin_connector.dispose()
 

src/langbot/pkg/core/stages/build_app.py

@@ -28,6 +28,7 @@ from ...api.http.service import mcp as mcp_service
 from ...api.http.service import apikey as apikey_service
 from ...api.http.service import webhook as webhook_service
 from ...api.http.service import monitoring as monitoring_service
+from ...api.http.service import maintenance as maintenance_service
 from ...discover import engine as discover_engine
 from ...storage import mgr as storagemgr
 from ...utils import logcache
@@ -61,6 +62,9 @@ class BuildAppStage(stage.BootingStage):
         embedding_models_service_inst = model_service.EmbeddingModelsService(ap)
         ap.embedding_models_service = embedding_models_service_inst
 
+        rerank_models_service_inst = model_service.RerankModelsService(ap)
+        ap.rerank_models_service = rerank_models_service_inst
+
         provider_service_inst = provider_service.ModelProviderService(ap)
         ap.provider_service = provider_service_inst
 
@@ -164,6 +168,9 @@ class BuildAppStage(stage.BootingStage):
         monitoring_service_inst = monitoring_service.MonitoringService(ap)
         ap.monitoring_service = monitoring_service_inst
 
+        maintenance_service_inst = maintenance_service.MaintenanceService(ap)
+        ap.maintenance_service = maintenance_service_inst
+
         async def runtime_disconnect_callback(connector: plugin_connector.PluginRuntimeConnector) -> None:
             await asyncio.sleep(3)
             await plugin_connector_inst.initialize()

src/langbot/pkg/core/stages/load_config.py

@@ -74,20 +74,30 @@ def _apply_env_overrides_to_config(cfg: dict) -> dict:
         current = cfg
 
         for i, key in enumerate(keys):
-            if not isinstance(current, dict) or key not in current:
+            if not isinstance(current, dict):
                 break
 
             if i == len(keys) - 1:
-                # At the final key - check if it's a scalar value
-                if isinstance(current[key], (dict, list)):
-                    # Skip dict and list types
-                    pass
+                # At the final key
+                if key in current:
+                    if isinstance(current[key], list):
+                        # Convert comma-separated string to list
+                        # e.g., SYSTEM__DISABLED_ADAPTERS="aiocqhttp,dingtalk"
+                        current[key] = [item.strip() for item in env_value.split(',') if item.strip()]
+                    elif isinstance(current[key], dict):
+                        # Skip dict types
+                        pass
+                    else:
+                        # Valid scalar value - convert and set it
+                        converted_value = convert_value(env_value, current[key])
+                        current[key] = converted_value
                 else:
-                    # Valid scalar value - convert and set it
-                    converted_value = convert_value(env_value, current[key])
-                    current[key] = converted_value
+                    # Key doesn't exist yet - create it as string
+                    current[key] = env_value
             else:
-                # Navigate deeper
+                # Navigate deeper - create intermediate dict if needed
+                if key not in current:
+                    current[key] = {}
                 current = current[key]
 
     return cfg
@@ -146,16 +156,50 @@ class LoadConfigStage(stage.BootingStage):
         await ap.instance_config.dump_config()
 
         # load or generate instance id
-        ap.instance_id = await config.load_json_config(
-            'data/labels/instance_id.json',
-            template_data={
-                'instance_id': f'instance_{str(uuid.uuid4())}',
-                'instance_create_ts': int(time.time()),
-            },
-            completion=False,
-        )
+        # Priority:
+        # 1. system.instance_id from config.yaml (can be set via SYSTEM__INSTANCE_ID env var)
+        # 2. data/labels/instance_id.json (if file exists)
+        # 3. Generate new and save to file
+        config_instance_id = ap.instance_config.data.get('system', {}).get('instance_id', '')
 
-        constants.instance_id = ap.instance_id.data['instance_id']
+        if config_instance_id:
+            # Use the instance_id from config.yaml
+            constants.instance_id = config_instance_id
+            # Still load/create the file for backward compat, but don't use its value
+            ap.instance_id = await config.load_json_config(
+                'data/labels/instance_id.json',
+                template_data={
+                    'instance_id': f'instance_{str(uuid.uuid4())}',
+                    'instance_create_ts': int(time.time()),
+                },
+                completion=False,
+            )
+        else:
+            # Try loading file-based instance id
+            instance_id_path = os.path.join('data', 'labels', 'instance_id.json')
+            if os.path.exists(instance_id_path):
+                # File exists, read it
+                ap.instance_id = await config.load_json_config(
+                    'data/labels/instance_id.json',
+                    template_data={
+                        'instance_id': '',
+                        'instance_create_ts': 0,
+                    },
+                    completion=False,
+                )
+                constants.instance_id = ap.instance_id.data['instance_id']
+            else:
+                # Neither config nor file, generate new and save to file
+                new_id = f'instance_{str(uuid.uuid4())}'
+                ap.instance_id = await config.load_json_config(
+                    'data/labels/instance_id.json',
+                    template_data={
+                        'instance_id': new_id,
+                        'instance_create_ts': int(time.time()),
+                    },
+                    completion=False,
+                )
+                constants.instance_id = new_id
         constants.edition = ap.instance_config.data.get('system', {}).get('edition', 'community')
 
         print(f'LangBot instance id: {constants.instance_id}')

src/langbot/pkg/core/taskmgr.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 import asyncio
 import typing
 import datetime
+import time
 
 from . import app
 from . import entities as core_entities
@@ -17,9 +18,13 @@ class TaskContext:
     log: str
     """Log"""
 
+    metadata: dict
+    """Structured metadata for progress reporting"""
+
     def __init__(self):
         self.current_action = 'default'
         self.log = ''
+        self.metadata = {}
 
     def _log(self, msg: str):
         self.log += msg + '\n'
@@ -38,7 +43,7 @@ class TaskContext:
         self._log(f'{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")} | {self.current_action} | {msg}')
 
     def to_dict(self) -> dict:
-        return {'current_action': self.current_action, 'log': self.log}
+        return {'current_action': self.current_action, 'log': self.log, 'metadata': self.metadata}
 
     @staticmethod
     def new() -> TaskContext:
@@ -115,6 +120,7 @@ class TaskWrapper:
         self.label = label if label != '' else name
         self.task.set_name(name)
         self.scopes = scopes
+        self.created_at = time.time()
 
     def assume_exception(self):
         try:
@@ -150,6 +156,7 @@ class TaskWrapper:
             'name': self.name,
             'label': self.label,
             'scopes': [scope.value for scope in self.scopes],
+            'created_at': self.created_at,
             'task_context': self.task_context.to_dict(),
             'runtime': {
                 'done': self.task.done(),
@@ -189,6 +196,8 @@ class AsyncTaskManager:
     ) -> TaskWrapper:
         wrapper = TaskWrapper(self.ap, coro, task_type, kind, name, label, context, scopes)
         self.tasks.append(wrapper)
+        wrapper.task.add_done_callback(lambda _: self._prune_completed_tasks())
+        self._prune_completed_tasks()
         return wrapper
 
     def create_user_task(
@@ -211,9 +220,23 @@ class AsyncTaskManager:
     def get_tasks_dict(
         self,
         type: str = None,
+        kind: str = None,
     ) -> dict:
         return {
-            'tasks': [t.to_dict() for t in self.tasks if type is None or t.task_type == type],
+            'tasks': [
+                t.to_dict()
+                for t in self.tasks
+                if (type is None or t.task_type == type) and (kind is None or t.kind == kind)
+            ],
+            'id_index': TaskWrapper._id_index,
+        }
+
+    def get_stats(self) -> dict:
+        completed = sum(1 for t in self.tasks if t.task.done())
+        return {
+            'total': len(self.tasks),
+            'running': len(self.tasks) - completed,
+            'completed': completed,
             'id_index': TaskWrapper._id_index,
         }
 
@@ -234,3 +257,27 @@ class AsyncTaskManager:
                 if not wrapper.task.done():
                     wrapper.task.cancel()
                 return
+
+    def _prune_completed_tasks(self):
+        completed_limit = (
+            self.ap.instance_config.data.get('system', {})
+            .get('task_retention', {})
+            .get(
+                'completed_limit',
+                200,
+            )
+        )
+        try:
+            completed_limit = int(completed_limit)
+        except (TypeError, ValueError):
+            completed_limit = 200
+        if completed_limit < 1:
+            completed_limit = 1
+
+        completed_tasks = [wrapper for wrapper in self.tasks if wrapper.task.done()]
+        overflow = len(completed_tasks) - completed_limit
+        if overflow <= 0:
+            return
+
+        remove_ids = {wrapper.id for wrapper in completed_tasks[:overflow]}
+        self.tasks = [wrapper for wrapper in self.tasks if wrapper.id not in remove_ids]

src/langbot/pkg/discover/engine.py

@@ -17,11 +17,23 @@ class I18nString(pydantic.BaseModel):
     """英文"""
 
     zh_Hans: typing.Optional[str] = None
-    """中文"""
+    """简体中文"""
+
+    zh_Hant: typing.Optional[str] = None
+    """繁体中文"""
 
     ja_JP: typing.Optional[str] = None
     """日文"""
 
+    th_TH: typing.Optional[str] = None
+    """泰文"""
+
+    vi_VN: typing.Optional[str] = None
+    """越南文"""
+
+    es_ES: typing.Optional[str] = None
+    """西班牙文"""
+
     def to_dict(self) -> dict:
         """转换为字典"""
         dic = {}
@@ -29,8 +41,16 @@ class I18nString(pydantic.BaseModel):
             dic['en_US'] = self.en_US
         if self.zh_Hans is not None:
             dic['zh_Hans'] = self.zh_Hans
+        if self.zh_Hant is not None:
+            dic['zh_Hant'] = self.zh_Hant
         if self.ja_JP is not None:
             dic['ja_JP'] = self.ja_JP
+        if self.th_TH is not None:
+            dic['th_TH'] = self.th_TH
+        if self.vi_VN is not None:
+            dic['vi_VN'] = self.vi_VN
+        if self.es_ES is not None:
+            dic['es_ES'] = self.es_ES
         return dic
 
 

src/langbot/pkg/entity/persistence/bot.py

@@ -16,6 +16,7 @@ class Bot(Base):
     enable = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=False)
     use_pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
     use_pipeline_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    pipeline_routing_rules = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, server_default='[]')
     created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
     updated_at = sqlalchemy.Column(
         sqlalchemy.DateTime,

src/langbot/pkg/entity/persistence/model.py

@@ -59,3 +59,22 @@ class EmbeddingModel(Base):
         server_default=sqlalchemy.func.now(),
         onupdate=sqlalchemy.func.now(),
     )
+
+
+class RerankModel(Base):
+    """Rerank model"""
+
+    __tablename__ = 'rerank_models'
+
+    uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
+    name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
+    provider_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
+    extra_args = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
+    prefered_ranking = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=0)
+    created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
+    updated_at = sqlalchemy.Column(
+        sqlalchemy.DateTime,
+        nullable=False,
+        server_default=sqlalchemy.func.now(),
+        onupdate=sqlalchemy.func.now(),
+    )

src/langbot/pkg/entity/persistence/monitoring.py

@@ -20,6 +20,7 @@ class MonitoringMessage(Base):
     level = sqlalchemy.Column(sqlalchemy.String(50), nullable=False)  # info, warning, error, debug
     platform = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
     user_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    user_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)  # User display name
     runner_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)  # Runner name for this query
     variables = sqlalchemy.Column(sqlalchemy.Text, nullable=True)  # Query variables as JSON string
     role = sqlalchemy.Column(sqlalchemy.String(50), nullable=True, default='user')  # user, assistant
@@ -64,6 +65,7 @@ class MonitoringSession(Base):
     is_active = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=True, index=True)
     platform = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
     user_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    user_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)  # User display name
 
 
 class MonitoringError(Base):
@@ -104,3 +106,26 @@ class MonitoringEmbeddingCall(Base):
     session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
     message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
     call_type = sqlalchemy.Column(sqlalchemy.String(50), nullable=True)  # embedding, retrieve
+
+
+class MonitoringFeedback(Base):
+    """User feedback records (like/dislike) from AI Bot conversations"""
+
+    __tablename__ = 'monitoring_feedback'
+
+    id = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True)
+    timestamp = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, index=True)
+    feedback_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, unique=True, index=True)
+    feedback_type = sqlalchemy.Column(sqlalchemy.Integer, nullable=False)  # 1=like, 2=dislike
+    feedback_content = sqlalchemy.Column(sqlalchemy.Text, nullable=True)  # User feedback text
+    inaccurate_reasons = sqlalchemy.Column(sqlalchemy.Text, nullable=True)  # JSON list of inaccurate reasons
+    # Context fields
+    bot_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    bot_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    pipeline_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    stream_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    user_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    platform = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)  # e.g., wecom

src/langbot/pkg/persistence/alembic/env.py

@@ -0,0 +1,51 @@
+"""Alembic environment for LangBot.
+
+This env.py is designed to be called programmatically (not via CLI).
+It supports both SQLite and PostgreSQL.
+
+The sync connection is passed via config attributes by the runner.
+"""
+
+from __future__ import annotations
+
+from alembic import context
+from sqlalchemy.engine import Connection
+
+from langbot.pkg.entity.persistence.base import Base
+
+target_metadata = Base.metadata
+
+
+def run_migrations_offline() -> None:
+    """Run migrations in 'offline' mode — emit SQL without a live connection."""
+    url = context.config.get_main_option('sqlalchemy.url')
+    context.configure(
+        url=url,
+        target_metadata=target_metadata,
+        literal_binds=True,
+        dialect_opts={'paramstyle': 'named'},
+    )
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+def run_migrations_online() -> None:
+    """Run migrations with a live sync connection passed via config attributes."""
+    connection: Connection = context.config.attributes.get('connection')
+    if connection is None:
+        raise RuntimeError('connection not provided in alembic config attributes')
+
+    context.configure(
+        connection=connection,
+        target_metadata=target_metadata,
+        # render_as_batch=True is critical for SQLite ALTER TABLE support
+        render_as_batch=True,
+    )
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+if context.is_offline_mode():
+    run_migrations_offline()
+else:
+    run_migrations_online()

src/langbot/pkg/persistence/alembic/script.py.mako

@@ -0,0 +1,24 @@
+# Alembic script.py.mako — template for auto-generated revisions
+"""${message}
+
+Revision ID: ${up_revision}
+Revises: ${down_revision | comma,n}
+Create Date: ${create_date}
+"""
+from alembic import op
+import sqlalchemy as sa
+${imports if imports else ""}
+
+# revision identifiers
+revision = ${repr(up_revision)}
+down_revision = ${repr(down_revision)}
+branch_labels = ${repr(branch_labels)}
+depends_on = ${repr(depends_on)}
+
+
+def upgrade() -> None:
+    ${upgrades if upgrades else "pass"}
+
+
+def downgrade() -> None:
+    ${downgrades if downgrades else "pass"}

src/langbot/pkg/persistence/alembic/versions/0001_baseline.py

@@ -0,0 +1,24 @@
+"""baseline: stamp existing schema (db version 25)
+
+This is a no-op migration that marks the starting point for Alembic.
+All tables already exist via create_all() + legacy DBMigration system.
+
+Revision ID: 0001_baseline
+Revises: None
+Create Date: 2026-04-08
+"""
+
+revision = '0001_baseline'
+down_revision = None
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # No-op: existing schema is already at database_version=25
+    # This revision serves as the Alembic baseline.
+    pass
+
+
+def downgrade() -> None:
+    pass

src/langbot/pkg/persistence/alembic/versions/0002_sample.py

@@ -0,0 +1,62 @@
+"""example: sample migration demonstrating Alembic patterns
+
+This is a SAMPLE showing how to write migrations that work
+seamlessly across SQLite and PostgreSQL. Delete or adapt as needed.
+
+Revision ID: 0002_sample
+Revises: 0001_baseline
+Create Date: 2026-04-08
+
+Patterns demonstrated:
+  1. Schema change (add column) — works on both DBs via render_as_batch
+  2. Data migration (read + modify JSON) — pure SQLAlchemy, no dialect branching
+"""
+
+revision = '0002_sample'
+down_revision = '0001_baseline'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    """
+    EXAMPLE: Uncomment to use. This shows the patterns.
+
+    # --- Pattern 1: Schema change (add/drop column) ---
+    # render_as_batch=True in env.py makes this work on SQLite too.
+    #
+    # op.add_column('pipelines', sa.Column('description', sa.String(512), server_default=''))
+
+    # --- Pattern 2: Data migration (read + modify JSON field) ---
+    # No if/else for sqlite vs postgres needed!
+    #
+    # conn = op.get_bind()
+    # rows = conn.execute(sa.text("SELECT uuid, config FROM pipelines")).fetchall()
+    # for row in rows:
+    #     config = json.loads(row[1]) if isinstance(row[1], str) else row[1]
+    #     # Modify the config
+    #     config.setdefault('ai', {}).setdefault('some_new_key', 'default_value')
+    #     conn.execute(
+    #         sa.text("UPDATE pipelines SET config = :cfg WHERE uuid = :uuid"),
+    #         {"cfg": json.dumps(config), "uuid": row[0]}
+    #     )
+
+    # --- Pattern 3: Create a new table ---
+    #
+    # op.create_table(
+    #     'audit_log',
+    #     sa.Column('id', sa.Integer, primary_key=True, autoincrement=True),
+    #     sa.Column('action', sa.String(255), nullable=False),
+    #     sa.Column('detail', sa.Text),
+    #     sa.Column('created_at', sa.DateTime, server_default=sa.func.now()),
+    # )
+    """
+    pass
+
+
+def downgrade() -> None:
+    """
+    # op.drop_column('pipelines', 'description')
+    # op.drop_table('audit_log')
+    """
+    pass

src/langbot/pkg/persistence/alembic/versions/0003_add_rerank_models.py

@@ -0,0 +1,35 @@
+"""add rerank_models table
+
+Revision ID: 0003_add_rerank_models
+Revises: 0002_sample
+Create Date: 2026-04-19
+"""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = '0003_add_rerank_models'
+down_revision = '0002_sample'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # Check if table already exists (may have been created by create_all())
+    conn = op.get_bind()
+    inspector = sa.inspect(conn)
+    if 'rerank_models' not in inspector.get_table_names():
+        op.create_table(
+            'rerank_models',
+            sa.Column('uuid', sa.String(255), primary_key=True, unique=True),
+            sa.Column('name', sa.String(255), nullable=False),
+            sa.Column('provider_uuid', sa.String(255), nullable=False),
+            sa.Column('extra_args', sa.JSON, nullable=False, server_default='{}'),
+            sa.Column('prefered_ranking', sa.Integer, nullable=False, server_default='0'),
+            sa.Column('created_at', sa.DateTime, nullable=False, server_default=sa.func.now()),
+            sa.Column('updated_at', sa.DateTime, nullable=False, server_default=sa.func.now()),
+        )
+
+
+def downgrade() -> None:
+    op.drop_table('rerank_models')

src/langbot/pkg/persistence/alembic_runner.py

@@ -0,0 +1,150 @@
+"""Programmatic Alembic runner for LangBot.
+
+Usage from async code:
+    from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade
+    await run_alembic_upgrade(async_engine)
+
+CLI usage (autogenerate):
+    python -m langbot.pkg.persistence.alembic_runner autogenerate "add description column"
+    python -m langbot.pkg.persistence.alembic_runner upgrade
+    python -m langbot.pkg.persistence.alembic_runner current
+"""
+
+from __future__ import annotations
+
+import os
+from typing import TYPE_CHECKING
+
+from alembic.config import Config
+from alembic import command
+from alembic.runtime.migration import MigrationContext
+
+if TYPE_CHECKING:
+    from sqlalchemy.ext.asyncio import AsyncEngine
+    from sqlalchemy.engine import Connection
+
+
+_ALEMBIC_DIR = os.path.join(os.path.dirname(__file__), 'alembic')
+
+
+def _build_config(connection: Connection) -> Config:
+    """Build an Alembic Config with sync connection attached."""
+    cfg = Config()
+    cfg.set_main_option('script_location', _ALEMBIC_DIR)
+    cfg.attributes['connection'] = connection
+    return cfg
+
+
+def _do_upgrade(connection: Connection, revision: str = 'head') -> None:
+    """Synchronous upgrade — runs inside run_sync."""
+    cfg = _build_config(connection)
+    command.upgrade(cfg, revision)
+
+
+def _do_stamp(connection: Connection, revision: str = 'head') -> None:
+    """Synchronous stamp — runs inside run_sync."""
+    cfg = _build_config(connection)
+    command.stamp(cfg, revision)
+
+
+def _do_get_current(connection: Connection) -> str | None:
+    """Get current alembic revision synchronously."""
+    ctx = MigrationContext.configure(connection)
+    return ctx.get_current_revision()
+
+
+def _do_autogenerate(connection: Connection, message: str = 'auto migration') -> None:
+    """Synchronous autogenerate — runs inside run_sync."""
+    cfg = _build_config(connection)
+    command.revision(cfg, message=message, autogenerate=True)
+
+
+async def run_alembic_upgrade(async_engine: AsyncEngine, revision: str = 'head') -> None:
+    """Run Alembic upgrade to the given revision."""
+    async with async_engine.connect() as conn:
+        await conn.run_sync(_do_upgrade, revision)
+        await conn.commit()
+
+
+async def run_alembic_stamp(async_engine: AsyncEngine, revision: str = 'head') -> None:
+    """Stamp the database with a revision without running migrations."""
+    async with async_engine.connect() as conn:
+        await conn.run_sync(_do_stamp, revision)
+        await conn.commit()
+
+
+async def get_alembic_current(async_engine: AsyncEngine) -> str | None:
+    """Get current alembic revision, or None if not stamped."""
+    async with async_engine.connect() as conn:
+        return await conn.run_sync(_do_get_current)
+
+
+async def run_alembic_autogenerate(async_engine: AsyncEngine, message: str = 'auto migration') -> None:
+    """Compare ORM models against DB schema and generate a migration script."""
+    async with async_engine.connect() as conn:
+        await conn.run_sync(_do_autogenerate, message)
+
+
+# CLI entrypoint: python -m langbot.pkg.persistence.alembic_runner <command> [args]
+if __name__ == '__main__':
+    import sys
+    import asyncio
+
+    def _get_engine():
+        """Create engine from data/config.yaml or default SQLite."""
+        from sqlalchemy.ext.asyncio import create_async_engine
+
+        try:
+            import yaml
+
+            with open('data/config.yaml') as f:
+                config = yaml.safe_load(f)
+            db_cfg = config.get('database', {})
+            db_type = db_cfg.get('use', 'sqlite')
+            if db_type == 'postgresql':
+                pg = db_cfg.get('postgresql', {})
+                url = (
+                    f'postgresql+asyncpg://{pg.get("user", "postgres")}:{pg.get("password", "postgres")}'
+                    f'@{pg.get("host", "127.0.0.1")}:{pg.get("port", 5432)}/{pg.get("database", "postgres")}'
+                )
+            else:
+                path = db_cfg.get('sqlite', {}).get('path', 'data/langbot.db')
+                url = f'sqlite+aiosqlite:///{path}'
+        except Exception:
+            url = 'sqlite+aiosqlite:///data/langbot.db'
+
+        return create_async_engine(url)
+
+    def main():
+        if len(sys.argv) < 2:
+            print('Usage: python -m langbot.pkg.persistence.alembic_runner <command> [args]')
+            print('Commands:')
+            print('  autogenerate "message"  — Generate migration from ORM model diff')
+            print('  upgrade [revision]      — Upgrade database (default: head)')
+            print('  stamp [revision]        — Stamp revision without running (default: head)')
+            print('  current                 — Show current revision')
+            sys.exit(1)
+
+        cmd = sys.argv[1]
+        engine = _get_engine()
+
+        if cmd == 'autogenerate':
+            msg = sys.argv[2] if len(sys.argv) > 2 else 'auto migration'
+            asyncio.run(run_alembic_autogenerate(engine, msg))
+            print(f'Migration generated: {msg}')
+        elif cmd == 'upgrade':
+            rev = sys.argv[2] if len(sys.argv) > 2 else 'head'
+            asyncio.run(run_alembic_upgrade(engine, rev))
+            print(f'Upgraded to: {rev}')
+        elif cmd == 'stamp':
+            rev = sys.argv[2] if len(sys.argv) > 2 else 'head'
+            asyncio.run(run_alembic_stamp(engine, rev))
+            print(f'Stamped: {rev}')
+        elif cmd == 'current':
+            rev = asyncio.run(get_alembic_current(engine))
+            print(f'Current revision: {rev}')
+        else:
+            print(f'Unknown command: {cmd}')
+            sys.exit(1)
+
+    main()

src/langbot/pkg/persistence/mgr.py

@@ -2,18 +2,16 @@ from __future__ import annotations
 
 import datetime
 import typing
-import json
-import uuid
+
 
 import sqlalchemy.ext.asyncio as sqlalchemy_asyncio
 import sqlalchemy
 
 from . import database, migration
-from ..entity.persistence import base, pipeline, metadata, model as persistence_model
+from ..entity.persistence import base, metadata, model as persistence_model
 from ..entity import persistence
 from ..core import app
 from ..utils import constants, importutil
-from ..api.http.service import pipeline as pipeline_service
 from . import databases, migrations
 
 importutil.import_modules_in_pkg(databases)
@@ -78,7 +76,9 @@ class PersistenceManager:
 
             self.ap.logger.info(f'Successfully upgraded database to version {last_migration_number}.')
 
-        await self.write_default_pipeline()
+        # Run Alembic migrations (new migration system)
+        await self._run_alembic_migrations()
+
         await self.write_space_model_providers()
 
     async def create_tables(self):
@@ -101,29 +101,6 @@ class PersistenceManager:
             if row is None:
                 await self.execute_async(sqlalchemy.insert(metadata.Metadata).values(item))
 
-    async def write_default_pipeline(self):
-        # write default pipeline
-        result = await self.execute_async(sqlalchemy.select(pipeline.LegacyPipeline))
-        default_pipeline_uuid = None
-        if result.first() is None:
-            self.ap.logger.info('Creating default pipeline...')
-
-            pipeline_config = json.loads(importutil.read_resource_file('templates/default-pipeline-config.json'))
-
-            default_pipeline_uuid = str(uuid.uuid4())
-            pipeline_data = {
-                'uuid': default_pipeline_uuid,
-                'for_version': self.ap.ver_mgr.get_current_version(),
-                'stages': pipeline_service.default_stage_order,
-                'is_default': True,
-                'name': 'ChatPipeline',
-                'description': 'Default pipeline, new bots will be bound to this pipeline | 默认提供的流水线，您配置的机器人将自动绑定到此流水线',
-                'config': pipeline_config,
-                'extensions_preferences': {},
-            }
-
-            await self.execute_async(sqlalchemy.insert(pipeline.LegacyPipeline).values(pipeline_data))
-
     async def write_space_model_providers(self):
         space_models_gateway_api_url = self.ap.instance_config.data.get('space', {}).get(
             'models_gateway_api_url', 'https://api.langbot.cloud/v1'
@@ -161,6 +138,28 @@ class PersistenceManager:
 
     # =================================
 
+    async def _run_alembic_migrations(self):
+        """Run Alembic-based migrations after legacy migrations complete."""
+        from . import alembic_runner
+
+        engine = self.get_db_engine()
+
+        try:
+            current_rev = await alembic_runner.get_alembic_current(engine)
+
+            if current_rev is None:
+                # First time: stamp baseline so Alembic knows existing schema is up-to-date
+                self.ap.logger.info('Alembic: no revision found, stamping baseline...')
+                await alembic_runner.run_alembic_stamp(engine, '0001_baseline')
+                current_rev = '0001_baseline'
+
+            # Upgrade to head
+            await alembic_runner.run_alembic_upgrade(engine, 'head')
+            self.ap.logger.info('Alembic migrations completed.')
+        except Exception as e:
+            self.ap.logger.error(f'Alembic migration failed: {e}', exc_info=True)
+            raise
+
     async def execute_async(self, *args, **kwargs) -> sqlalchemy.engine.cursor.CursorResult:
         async with self.get_db_engine().connect() as conn:
             result = await conn.execute(*args, **kwargs)

src/langbot/pkg/persistence/migrations/dbm020_knowledge_engine_plugin_architecture.py

@@ -1,5 +1,3 @@
-import json
-
 import sqlalchemy
 from .. import migration
 
@@ -9,20 +7,22 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
     """Migrate to unified Knowledge Engine plugin architecture.
 
     Changes:
-    - Add knowledge_engine_plugin_id, collection_id, creation_settings, retrieval_settings columns to knowledge_bases
-    - Migrate existing top_k values into retrieval_settings JSON
-    - Migrate existing embedding_model_uuid into creation_settings JSON
-    - Drop embedding_model_uuid and top_k columns (PostgreSQL only; SQLite leaves them unmapped)
-    - Drop external_knowledge_bases table (no longer needed; external KB data is not migrated)
+    - Backup existing knowledge_bases data to knowledge_bases_backup
+    - Clear knowledge_bases table and add new plugin architecture columns
+    - Drop old columns (PostgreSQL only; SQLite leaves them unmapped)
+    - Preserve external_knowledge_bases table as-is for future migration
+    - Set rag_plugin_migration_needed flag in metadata if old data exists
     """
 
     async def upgrade(self):
         """Upgrade"""
+        has_internal_data = await self._backup_knowledge_bases()
+        has_external_data = await self._check_external_knowledge_bases()
+        await self._clear_knowledge_bases()
         await self._add_columns_to_knowledge_bases()
-        await self._migrate_top_k_to_retrieval_settings()
-        await self._migrate_embedding_model_uuid_to_creation_settings()
         await self._drop_old_columns()
-        await self._drop_external_knowledge_bases_table()
+        if has_internal_data or has_external_data:
+            await self._set_migration_flag()
 
     async def _get_table_columns(self, table_name: str) -> list[str]:
         """Get column names from a table (works for both SQLite and PostgreSQL)."""
@@ -57,6 +57,50 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
             )
             return result.first() is not None
 
+    async def _backup_knowledge_bases(self) -> bool:
+        """Backup knowledge_bases data. Returns True if data was backed up."""
+        result = await self.ap.persistence_mgr.execute_async(sqlalchemy.text('SELECT COUNT(*) FROM knowledge_bases;'))
+        count = result.scalar()
+        if count == 0:
+            return False
+
+        # Drop backup table if it already exists (from a previous failed migration)
+        if await self._table_exists('knowledge_bases_backup'):
+            await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE knowledge_bases_backup;'))
+
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text('CREATE TABLE knowledge_bases_backup AS SELECT * FROM knowledge_bases;')
+        )
+        self.ap.logger.info(
+            'Backed up %d knowledge base(s) to knowledge_bases_backup table.',
+            count,
+        )
+        return True
+
+    async def _check_external_knowledge_bases(self) -> bool:
+        """Check if external_knowledge_bases table exists and has data.
+
+        The table is preserved as-is (not dropped) for future migration.
+        """
+        if not await self._table_exists('external_knowledge_bases'):
+            return False
+
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text('SELECT COUNT(*) FROM external_knowledge_bases;')
+        )
+        count = result.scalar()
+        if count > 0:
+            self.ap.logger.info(
+                'Found %d external knowledge base(s) in external_knowledge_bases table. '
+                'Table preserved for future migration.',
+                count,
+            )
+        return count > 0
+
+    async def _clear_knowledge_bases(self):
+        """Clear all rows from knowledge_bases table (preserve table structure)."""
+        await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DELETE FROM knowledge_bases;'))
+
     async def _add_columns_to_knowledge_bases(self):
         """Add new RAG plugin architecture columns to knowledge_bases table."""
         columns = await self._get_table_columns('knowledge_bases')
@@ -74,73 +118,6 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
                     sqlalchemy.text(f'ALTER TABLE knowledge_bases ADD COLUMN {col_name} {col_type};')
                 )
 
-        # For existing knowledge bases without knowledge_engine_plugin_id,
-        # set collection_id = uuid (same default as new KBs)
-        await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text('UPDATE knowledge_bases SET collection_id = uuid WHERE collection_id IS NULL;')
-        )
-
-    async def _migrate_top_k_to_retrieval_settings(self):
-        """Migrate existing top_k values into retrieval_settings JSON."""
-        columns = await self._get_table_columns('knowledge_bases')
-        if 'top_k' not in columns:
-            return
-
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text(
-                'SELECT uuid, top_k FROM knowledge_bases WHERE top_k IS NOT NULL AND retrieval_settings IS NULL;'
-            )
-        )
-        rows = result.fetchall()
-
-        for row in rows:
-            kb_uuid = row[0]
-            top_k = row[1]
-            retrieval_settings = json.dumps({'top_k': top_k})
-            await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text('UPDATE knowledge_bases SET retrieval_settings = :rs WHERE uuid = :uuid;').bindparams(
-                    rs=retrieval_settings, uuid=kb_uuid
-                )
-            )
-
-    async def _migrate_embedding_model_uuid_to_creation_settings(self):
-        """Migrate existing embedding_model_uuid into creation_settings JSON."""
-        columns = await self._get_table_columns('knowledge_bases')
-        if 'embedding_model_uuid' not in columns:
-            return
-
-        result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.text(
-                'SELECT uuid, embedding_model_uuid, creation_settings FROM knowledge_bases '
-                "WHERE embedding_model_uuid IS NOT NULL AND embedding_model_uuid != '';"
-            )
-        )
-        rows = result.fetchall()
-
-        for row in rows:
-            kb_uuid = row[0]
-            emb_uuid = row[1]
-            existing_settings = row[2]
-
-            if existing_settings and isinstance(existing_settings, str):
-                try:
-                    settings = json.loads(existing_settings)
-                except (json.JSONDecodeError, TypeError):
-                    settings = {}
-            elif isinstance(existing_settings, dict):
-                settings = existing_settings
-            else:
-                settings = {}
-
-            if 'embedding_model_uuid' not in settings:
-                settings['embedding_model_uuid'] = emb_uuid
-                new_settings = json.dumps(settings)
-                await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.text(
-                        'UPDATE knowledge_bases SET creation_settings = :cs WHERE uuid = :uuid;'
-                    ).bindparams(cs=new_settings, uuid=kb_uuid)
-                )
-
     async def _drop_old_columns(self):
         """Drop embedding_model_uuid and top_k columns (PostgreSQL only).
 
@@ -162,22 +139,22 @@ class DBMigrateKnowledgeEnginePluginArchitecture(migration.DBMigration):
                 sqlalchemy.text('ALTER TABLE knowledge_bases DROP COLUMN top_k;')
             )
 
-    async def _drop_external_knowledge_bases_table(self):
-        """Drop the external_knowledge_bases table if it exists."""
-        if await self._table_exists('external_knowledge_bases'):
-            # Log existing external KBs before dropping, so users are aware of data loss
-            rows = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.text('SELECT * FROM external_knowledge_bases;')
+    async def _set_migration_flag(self):
+        """Set rag_plugin_migration_needed flag in metadata table."""
+        # Check if the key already exists
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text("SELECT value FROM metadata WHERE key = 'rag_plugin_migration_needed';")
+        )
+        row = result.first()
+        if row is not None:
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text("UPDATE metadata SET value = 'true' WHERE key = 'rag_plugin_migration_needed';")
             )
-            existing = rows.fetchall()
-            if existing:
-                self.ap.logger.warning(
-                    'Dropping external_knowledge_bases table with %d existing record(s). '
-                    'These external KB configurations will be removed: %s',
-                    len(existing),
-                    [dict(row._mapping) for row in existing],
-                )
-            await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE external_knowledge_bases;'))
+        else:
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text("INSERT INTO metadata (key, value) VALUES ('rag_plugin_migration_needed', 'true');")
+            )
+        self.ap.logger.info('Set rag_plugin_migration_needed=true in metadata.')
 
     async def downgrade(self):
         """Downgrade"""

src/langbot/pkg/persistence/migrations/dbm021_merge_exception_handling.py

@@ -0,0 +1,74 @@
+from .. import migration
+
+import sqlalchemy
+import json
+
+
+@migration.migration_class(21)
+class DBMigrateMergeExceptionHandling(migration.DBMigration):
+    """Merge hide-exception and block-failed-request-output into a single exception-handling select option,
+    and add failure-hint field.
+
+    Conversion logic:
+    - block-failed-request-output=true  ->  exception-handling: hide
+    - hide-exception=true               ->  exception-handling: show-hint
+    - hide-exception=false              ->  exception-handling: show-error
+    """
+
+    async def upgrade(self):
+        """Upgrade"""
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
+        )
+        pipelines = result.fetchall()
+
+        current_version = self.ap.ver_mgr.get_current_version()
+
+        for pipeline_row in pipelines:
+            uuid = pipeline_row[0]
+            config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
+
+            if 'output' not in config:
+                config['output'] = {}
+            if 'misc' not in config['output']:
+                config['output']['misc'] = {}
+
+            misc = config['output']['misc']
+
+            # Determine new exception-handling value from legacy fields
+            hide_exception = misc.get('hide-exception', True)
+            block_failed = misc.get('block-failed-request-output', False)
+
+            if block_failed:
+                exception_handling = 'hide'
+            elif hide_exception:
+                exception_handling = 'show-hint'
+            else:
+                exception_handling = 'show-error'
+
+            misc['exception-handling'] = exception_handling
+
+            # Add failure-hint with default value
+            misc['failure-hint'] = 'Request failed.'
+
+            # Remove legacy fields
+            misc.pop('hide-exception', None)
+
+            if self.ap.persistence_mgr.db.name == 'postgresql':
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
+                    ),
+                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
+                )
+            else:
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
+                    ),
+                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
+                )
+
+    async def downgrade(self):
+        """Downgrade"""
+        pass

src/langbot/pkg/persistence/migrations/dbm022_monitoring_user_name.py

@@ -0,0 +1,73 @@
+import sqlalchemy
+from .. import migration
+
+
+@migration.migration_class(22)
+class DBMigrateMonitoringUserId(migration.DBMigration):
+    """Add user_id and user_name columns to monitoring_sessions table
+
+    This migration adds the missing user_id column and also ensures user_name
+    column exists (in case migration 21 failed or was skipped).
+    """
+
+    async def _table_exists(self, table_name: str) -> bool:
+        """Check if a table exists (works for both SQLite and PostgreSQL)."""
+        if self.ap.persistence_mgr.db.name == 'postgresql':
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text(
+                    'SELECT EXISTS (SELECT FROM information_schema.tables WHERE table_name = :table_name);'
+                ).bindparams(table_name=table_name)
+            )
+            return bool(result.scalar())
+        else:
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text("SELECT name FROM sqlite_master WHERE type='table' AND name=:table_name;").bindparams(
+                    table_name=table_name
+                )
+            )
+            return result.first() is not None
+
+    async def _get_table_columns(self, table_name: str) -> list[str]:
+        """Get column names from a table (works for both SQLite and PostgreSQL)."""
+        if self.ap.persistence_mgr.db.name == 'postgresql':
+            result = await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.text(
+                    'SELECT column_name FROM information_schema.columns WHERE table_name = :table_name;'
+                ).bindparams(table_name=table_name)
+            )
+            return [row[0] for row in result.fetchall()]
+        else:
+            if not table_name.isidentifier():
+                raise ValueError(f'Invalid table name: {table_name}')
+            result = await self.ap.persistence_mgr.execute_async(sqlalchemy.text(f'PRAGMA table_info({table_name});'))
+            return [row[1] for row in result.fetchall()]
+
+    async def _add_column_if_not_exists(self, table_name: str, column_name: str, column_type: str):
+        """Add a column to a table if it does not already exist."""
+        columns = await self._get_table_columns(table_name)
+        if column_name in columns:
+            self.ap.logger.debug('%s column already exists in %s.', column_name, table_name)
+            return
+        await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text(f'ALTER TABLE {table_name} ADD COLUMN {column_name} {column_type};')
+        )
+        self.ap.logger.info('Added %s column to %s table.', column_name, table_name)
+
+    async def upgrade(self):
+        # Check if monitoring_sessions table exists
+        if not await self._table_exists('monitoring_sessions'):
+            self.ap.logger.warning('monitoring_sessions table does not exist, skipping migration.')
+            return
+
+        # Add user_id column to monitoring_sessions table
+        await self._add_column_if_not_exists('monitoring_sessions', 'user_id', 'VARCHAR(255)')
+
+        # Add user_name column to monitoring_sessions table (in case migration 21 failed)
+        await self._add_column_if_not_exists('monitoring_sessions', 'user_name', 'VARCHAR(255)')
+
+        # Add user_name column to monitoring_messages table (in case migration 21 failed)
+        if await self._table_exists('monitoring_messages'):
+            await self._add_column_if_not_exists('monitoring_messages', 'user_name', 'VARCHAR(255)')
+
+    async def downgrade(self):
+        pass

src/langbot/pkg/persistence/migrations/dbm023_model_fallback_config.py

@@ -0,0 +1,102 @@
+from .. import migration
+
+import sqlalchemy
+import json
+
+
+@migration.migration_class(23)
+class DBMigrateModelFallbackConfig(migration.DBMigration):
+    """Convert model field from plain UUID string to object with primary/fallbacks"""
+
+    async def upgrade(self):
+        """Upgrade"""
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
+        )
+        pipelines = result.fetchall()
+
+        current_version = self.ap.ver_mgr.get_current_version()
+
+        for pipeline_row in pipelines:
+            uuid = pipeline_row[0]
+            config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
+
+            if 'ai' not in config or 'local-agent' not in config['ai']:
+                continue
+
+            local_agent = config['ai']['local-agent']
+            changed = False
+
+            # Convert model from string to object
+            model_value = local_agent.get('model', '')
+            if isinstance(model_value, str):
+                local_agent['model'] = {
+                    'primary': model_value,
+                    'fallbacks': [],
+                }
+                changed = True
+
+            # Remove leftover fallback-models field if present
+            if 'fallback-models' in local_agent:
+                del local_agent['fallback-models']
+                changed = True
+
+            if not changed:
+                continue
+
+            # Update using raw SQL with compatibility for both SQLite and PostgreSQL
+            if self.ap.persistence_mgr.db.name == 'postgresql':
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
+                    ),
+                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
+                )
+            else:
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
+                    ),
+                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
+                )
+
+    async def downgrade(self):
+        """Downgrade"""
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
+        )
+        pipelines = result.fetchall()
+
+        current_version = self.ap.ver_mgr.get_current_version()
+
+        for pipeline_row in pipelines:
+            uuid = pipeline_row[0]
+            config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
+
+            if 'ai' not in config or 'local-agent' not in config['ai']:
+                continue
+
+            local_agent = config['ai']['local-agent']
+
+            # Convert model from object back to string
+            model_value = local_agent.get('model', '')
+            if isinstance(model_value, dict):
+                local_agent['model'] = model_value.get('primary', '')
+            else:
+                continue
+
+            # Update using raw SQL with compatibility for both SQLite and PostgreSQL
+            if self.ap.persistence_mgr.db.name == 'postgresql':
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
+                    ),
+                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
+                )
+            else:
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text(
+                        'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
+                    ),
+                    {'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
+                )

src/langbot/pkg/persistence/migrations/dbm024_wecombot_websocket_mode.py

@@ -0,0 +1,49 @@
+from .. import migration
+
+import sqlalchemy
+import json
+
+
+@migration.migration_class(24)
+class DBMigrateWecomBotWebSocketMode(migration.DBMigration):
+    """Add enable-webhook field to existing wecombot adapter configs.
+
+    Existing wecombot bots were all using webhook mode, so we set
+    enable-webhook=true to preserve their behavior after the new
+    WebSocket long connection mode is introduced as default.
+    """
+
+    async def upgrade(self):
+        """Upgrade"""
+        result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.text("SELECT uuid, adapter_config FROM bots WHERE adapter = 'wecombot'")
+        )
+        bots = result.fetchall()
+
+        for bot_row in bots:
+            bot_uuid = bot_row[0]
+            adapter_config = json.loads(bot_row[1]) if isinstance(bot_row[1], str) else bot_row[1]
+
+            if 'enable-webhook' in adapter_config:
+                continue
+
+            # Determine mode based on existing config: if webhook fields are present, keep webhook mode
+            has_webhook_config = bool(
+                adapter_config.get('Token') and adapter_config.get('EncodingAESKey') and adapter_config.get('Corpid')
+            )
+            adapter_config['enable-webhook'] = has_webhook_config
+
+            if self.ap.persistence_mgr.db.name == 'postgresql':
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text('UPDATE bots SET adapter_config = :config::jsonb WHERE uuid = :uuid'),
+                    {'config': json.dumps(adapter_config), 'uuid': bot_uuid},
+                )
+            else:
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.text('UPDATE bots SET adapter_config = :config WHERE uuid = :uuid'),
+                    {'config': json.dumps(adapter_config), 'uuid': bot_uuid},
+                )
+
+    async def downgrade(self):
+        """Downgrade"""
+        pass

src/langbot/pkg/persistence/migrations/dbm025_bot_pipeline_routing_rules.py

@@ -0,0 +1,15 @@
+import sqlalchemy
+from .. import migration
+
+
+@migration.migration_class(25)
+class DBMigrateBotPipelineRoutingRules(migration.DBMigration):
+    """Add pipeline_routing_rules column to bots table"""
+
+    async def upgrade(self):
+        sql_text = sqlalchemy.text("ALTER TABLE bots ADD COLUMN pipeline_routing_rules JSON NOT NULL DEFAULT '[]'")
+        await self.ap.persistence_mgr.execute_async(sql_text)
+
+    async def downgrade(self):
+        sql_text = sqlalchemy.text('ALTER TABLE bots DROP COLUMN pipeline_routing_rules')
+        await self.ap.persistence_mgr.execute_async(sql_text)

src/langbot/pkg/pipeline/aggregator.py

@@ -37,6 +37,7 @@ class PendingMessage:
     message_chain: platform_message.MessageChain
     adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter
     pipeline_uuid: typing.Optional[str]
+    routed_by_rule: bool = False
     timestamp: float = field(default_factory=time.time)
 
 
@@ -125,6 +126,7 @@ class MessageAggregator:
         message_chain: platform_message.MessageChain,
         adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
         pipeline_uuid: typing.Optional[str] = None,
+        routed_by_rule: bool = False,
     ) -> None:
         """Add a message to the aggregation buffer
 
@@ -145,6 +147,7 @@ class MessageAggregator:
                 message_chain=message_chain,
                 adapter=adapter,
                 pipeline_uuid=pipeline_uuid,
+                routed_by_rule=routed_by_rule,
             )
             return
 
@@ -159,6 +162,7 @@ class MessageAggregator:
             message_chain=message_chain,
             adapter=adapter,
             pipeline_uuid=pipeline_uuid,
+            routed_by_rule=routed_by_rule,
         )
 
         force_flush = False
@@ -217,6 +221,7 @@ class MessageAggregator:
                 message_chain=msg.message_chain,
                 adapter=msg.adapter,
                 pipeline_uuid=msg.pipeline_uuid,
+                routed_by_rule=msg.routed_by_rule,
             )
             return
 
@@ -231,6 +236,7 @@ class MessageAggregator:
             message_chain=merged_msg.message_chain,
             adapter=merged_msg.adapter,
             pipeline_uuid=merged_msg.pipeline_uuid,
+            routed_by_rule=merged_msg.routed_by_rule,
         )
 
     def _merge_messages(self, messages: list[PendingMessage]) -> PendingMessage:

src/langbot/pkg/pipeline/config_coercion.py

@@ -0,0 +1,105 @@
+from __future__ import annotations
+
+import logging
+
+logger = logging.getLogger(__name__)
+
+# metadata type -> coercion function
+_COERCE_MAP = {
+    'integer': lambda v: int(v),
+    'number': lambda v: float(v),
+    'float': lambda v: float(v),
+}
+
+
+def _coerce_bool(v):
+    if isinstance(v, bool):
+        return v
+    if isinstance(v, str):
+        if v.lower() == 'true':
+            return True
+        if v.lower() == 'false':
+            return False
+        raise ValueError(f'Cannot convert string {v!r} to bool')
+    return bool(v)
+
+
+def _coerce_value(value, expected_type: str):
+    """Convert a single value to the expected type.
+
+    Returns the converted value, or the original value if no conversion needed.
+    """
+    if value is None:
+        return value
+
+    if expected_type == 'boolean':
+        if isinstance(value, bool):
+            return value
+        return _coerce_bool(value)
+
+    coerce_fn = _COERCE_MAP.get(expected_type)
+    if coerce_fn is None:
+        return value
+
+    # Already the correct type
+    if expected_type == 'integer' and isinstance(value, int) and not isinstance(value, bool):
+        return value
+    if expected_type in ('number', 'float') and isinstance(value, (int, float)) and not isinstance(value, bool):
+        return float(value)
+
+    return coerce_fn(value)
+
+
+def coerce_pipeline_config(
+    config: dict,
+    *metadata_list: dict,
+) -> None:
+    """Coerce pipeline config values according to metadata type definitions.
+
+    Walks each metadata dict (trigger, safety, ai, output) and converts
+    config values in-place so that strings coming from the JSON column are
+    cast to their declared types (integer, number/float, boolean).
+
+    Args:
+        config: The pipeline config dict to modify in-place.
+        *metadata_list: Metadata dicts loaded from the YAML templates.
+    """
+    for meta in metadata_list:
+        section_name = meta.get('name')
+        if not section_name or section_name not in config:
+            continue
+
+        section = config[section_name]
+        if not isinstance(section, dict):
+            continue
+
+        for stage_def in meta.get('stages', []):
+            stage_name = stage_def.get('name')
+            if not stage_name or stage_name not in section:
+                continue
+
+            stage_config = section[stage_name]
+            if not isinstance(stage_config, dict):
+                continue
+
+            for field_def in stage_def.get('config', []):
+                field_name = field_def.get('name')
+                field_type = field_def.get('type')
+                if not field_name or not field_type or field_name not in stage_config:
+                    continue
+
+                old_value = stage_config[field_name]
+                try:
+                    new_value = _coerce_value(old_value, field_type)
+                    if new_value is not old_value:
+                        stage_config[field_name] = new_value
+                except (ValueError, TypeError) as e:
+                    logger.warning(
+                        'Failed to coerce config %s.%s.%s (%r) to %s: %s',
+                        section_name,
+                        stage_name,
+                        field_name,
+                        old_value,
+                        field_type,
+                        e,
+                    )

src/langbot/pkg/pipeline/controller.py

@@ -63,6 +63,14 @@ class Controller:
                                 pipeline = await self.ap.pipeline_mgr.get_pipeline_by_uuid(pipeline_uuid)
                                 if pipeline:
                                     await pipeline.run(selected_query)
+                                else:
+                                    self.ap.logger.warning(
+                                        f'Pipeline {pipeline_uuid} not found for query {selected_query.query_id}, query dropped'
+                                    )
+                            else:
+                                self.ap.logger.warning(
+                                    f'No pipeline_uuid for query {selected_query.query_id}, query dropped'
+                                )
 
                         async with self.ap.query_pool:
                             (await self.ap.sess_mgr.get_session(selected_query))._semaphore.release()

src/langbot/pkg/pipeline/monitoring_helper.py

@@ -34,6 +34,15 @@ class MonitoringHelper:
             # Check if session exists, if not, record session start
             session_id = f'{query.launcher_type}_{query.launcher_id}'
 
+            # Get sender name from message event
+            sender_name = None
+            if hasattr(query, 'message_event'):
+                if hasattr(query.message_event, 'sender'):
+                    if hasattr(query.message_event.sender, 'nickname'):
+                        sender_name = query.message_event.sender.nickname
+                    elif hasattr(query.message_event.sender, 'member_name'):
+                        sender_name = query.message_event.sender.member_name
+
             # Try to record message
             # Use JSON serialization to preserve message chain structure (including image URLs, etc.)
             if hasattr(query, 'message_chain') and hasattr(query.message_chain, 'model_dump'):
@@ -57,6 +66,7 @@ class MonitoringHelper:
                 if hasattr(query.launcher_type, 'value')
                 else str(query.launcher_type),
                 user_id=query.sender_id,
+                user_name=sender_name,
                 runner_name=runner_name,
                 variables=None,  # Will be updated in record_query_success
             )
@@ -80,6 +90,7 @@ class MonitoringHelper:
                     if hasattr(query.launcher_type, 'value')
                     else str(query.launcher_type),
                     user_id=query.sender_id,
+                    user_name=sender_name,
                 )
 
             return message_id
@@ -128,6 +139,15 @@ class MonitoringHelper:
         try:
             session_id = f'{query.launcher_type}_{query.launcher_id}'
 
+            # Get sender name from message event
+            sender_name = None
+            if hasattr(query, 'message_event'):
+                if hasattr(query.message_event, 'sender'):
+                    if hasattr(query.message_event.sender, 'nickname'):
+                        sender_name = query.message_event.sender.nickname
+                    elif hasattr(query.message_event.sender, 'member_name'):
+                        sender_name = query.message_event.sender.member_name
+
             # Extract response content from resp_message_chain
             if hasattr(query, 'resp_message_chain') and query.resp_message_chain:
                 # Serialize the last response message chain
@@ -162,6 +182,7 @@ class MonitoringHelper:
                 if hasattr(query.launcher_type, 'value')
                 else str(query.launcher_type),
                 user_id=query.sender_id,
+                user_name=sender_name,
                 runner_name=runner_name,
                 role='assistant',
             )
@@ -183,6 +204,15 @@ class MonitoringHelper:
         try:
             session_id = f'{query.launcher_type}_{query.launcher_id}'
 
+            # Get sender name from message event
+            sender_name = None
+            if hasattr(query, 'message_event'):
+                if hasattr(query.message_event, 'sender'):
+                    if hasattr(query.message_event.sender, 'nickname'):
+                        sender_name = query.message_event.sender.nickname
+                    elif hasattr(query.message_event.sender, 'member_name'):
+                        sender_name = query.message_event.sender.member_name
+
             # Record error message
             message_id = await ap.monitoring_service.record_message(
                 bot_id=bot_id,
@@ -197,6 +227,7 @@ class MonitoringHelper:
                 if hasattr(query.launcher_type, 'value')
                 else str(query.launcher_type),
                 user_id=query.sender_id,
+                user_name=sender_name,
                 runner_name=runner_name,
             )
 

src/langbot/pkg/pipeline/pipelinemgr.py

@@ -13,6 +13,7 @@ import langbot_plugin.api.entities.builtin.platform.message as platform_message
 import langbot_plugin.api.entities.builtin.platform.events as platform_events
 import langbot_plugin.api.entities.events as events
 from ..utils import importutil
+from .config_coercion import coerce_pipeline_config
 
 import langbot_plugin.api.entities.builtin.provider.session as provider_session
 import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
@@ -296,6 +297,9 @@ class RuntimePipeline:
             )
             # Store message_id in query variables for LLM call monitoring
             query.variables['_monitoring_message_id'] = message_id
+            # Notify adapter so it can map platform-specific IDs to monitoring message ID
+            if hasattr(query.adapter, 'on_monitoring_message_created'):
+                await query.adapter.on_monitoring_message_created(query, message_id)
         except Exception as e:
             self.ap.logger.error(f'Failed to record query start: {e}')
 
@@ -322,6 +326,9 @@ class RuntimePipeline:
             event_ctx = await self.ap.plugin_connector.emit_event(event_obj, bound_plugins)
 
             if event_ctx.is_prevented_default():
+                self.ap.logger.debug(
+                    f'MessageReceived event prevented default for query {query.query_id}, pipeline={pipeline_name}'
+                )
                 return
 
             self.ap.logger.debug(f'Processing query {query.query_id}')
@@ -420,6 +427,14 @@ class PipelineManager:
         elif isinstance(pipeline_entity, dict):
             pipeline_entity = persistence_pipeline.LegacyPipeline(**pipeline_entity)
 
+        coerce_pipeline_config(
+            pipeline_entity.config,
+            getattr(self.ap, 'pipeline_config_meta_trigger', {'name': 'trigger', 'stages': []}),
+            getattr(self.ap, 'pipeline_config_meta_safety', {'name': 'safety', 'stages': []}),
+            getattr(self.ap, 'pipeline_config_meta_ai', {'name': 'ai', 'stages': []}),
+            getattr(self.ap, 'pipeline_config_meta_output', {'name': 'output', 'stages': []}),
+        )
+
         # initialize stage containers according to pipeline_entity.stages
         stage_containers: list[StageInstContainer] = []
         for stage_name in pipeline_entity.stages:

src/langbot/pkg/pipeline/pool.py

@@ -41,6 +41,7 @@ class QueryPool:
         message_chain: platform_message.MessageChain,
         adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
         pipeline_uuid: typing.Optional[str] = None,
+        routed_by_rule: bool = False,
     ) -> pipeline_query.Query:
         async with self.condition:
             query_id = self.query_id_counter
@@ -52,7 +53,7 @@ class QueryPool:
                 sender_id=sender_id,
                 message_event=message_event,
                 message_chain=message_chain,
-                variables={},
+                variables={'_routed_by_rule': routed_by_rule},
                 resp_messages=[],
                 resp_message_chain=[],
                 adapter=adapter,

src/langbot/pkg/pipeline/preproc/preproc.py

@@ -36,17 +36,36 @@ class PreProcessor(stage.PipelineStage):
         session = await self.ap.sess_mgr.get_session(query)
 
         # When not local-agent, llm_model is None
-        try:
-            llm_model = (
-                await self.ap.model_mgr.get_model_by_uuid(query.pipeline_config['ai']['local-agent']['model'])
-                if selected_runner == 'local-agent'
-                else None
-            )
-        except ValueError:
-            self.ap.logger.warning(
-                f'LLM model {query.pipeline_config["ai"]["local-agent"]["model"] + " "}not found or not configured'
-            )
-            llm_model = None
+        llm_model = None
+        if selected_runner == 'local-agent':
+            # Read model config — new format is { primary: str, fallbacks: [str] },
+            # but handle legacy plain string for backward compatibility
+            model_config = query.pipeline_config['ai']['local-agent'].get('model', {})
+            if isinstance(model_config, str):
+                # Legacy format: plain UUID string
+                primary_uuid = model_config
+                fallback_uuids = []
+            else:
+                primary_uuid = model_config.get('primary', '')
+                fallback_uuids = model_config.get('fallbacks', [])
+
+            if primary_uuid:
+                try:
+                    llm_model = await self.ap.model_mgr.get_model_by_uuid(primary_uuid)
+                except ValueError:
+                    self.ap.logger.warning(f'LLM model {primary_uuid} not found or not configured')
+
+            # Resolve fallback model UUIDs
+            if fallback_uuids:
+                valid_fallbacks = []
+                for fb_uuid in fallback_uuids:
+                    try:
+                        await self.ap.model_mgr.get_model_by_uuid(fb_uuid)
+                        valid_fallbacks.append(fb_uuid)
+                    except ValueError:
+                        self.ap.logger.warning(f'Fallback model {fb_uuid} not found, skipping')
+                if valid_fallbacks:
+                    query.variables['_fallback_model_uuids'] = valid_fallbacks
 
         conversation = await self.ap.sess_mgr.get_conversation(
             query,
@@ -56,25 +75,54 @@ class PreProcessor(stage.PipelineStage):
             query.bot_uuid,
         )
 
+        # Expire externally managed conversation ids after the conversation has
+        # been idle for longer than the configured conversation expire time.
+        # The idle window is measured from the last preprocess/update time, not
+        # from the conversation creation time.
+        conversation_expire_time = query.pipeline_config.get('ai', {}).get('runner', {}).get('expire-time', None)
+        now = datetime.datetime.now()
+        if conversation_expire_time is not None and conversation_expire_time > 0:
+            last_update_time = getattr(conversation, 'update_time', None) or getattr(conversation, 'create_time', None)
+            if last_update_time is not None:
+                conversation_idle_time = now.timestamp() - last_update_time.timestamp()
+                if conversation_idle_time > conversation_expire_time:
+                    self.ap.logger.info(
+                        f'Conversation({query.query_id}) is expired (idle: {conversation_idle_time}s), create new conversation'
+                    )
+                    conversation.uuid = None
+
+        # Treat every preprocess pass as a conversation activity update. This
+        # makes future expiry checks use the latest incoming message/preprocess
+        # time instead of the first message/creation time.
+        conversation.update_time = now
+
         # 设置query
         query.session = session
         query.prompt = conversation.prompt.copy()
         query.messages = conversation.messages.copy()
 
-        if selected_runner == 'local-agent' and llm_model:
+        if selected_runner == 'local-agent':
             query.use_funcs = []
-            query.use_llm_model_uuid = llm_model.model_entity.uuid
+            if llm_model:
+                query.use_llm_model_uuid = llm_model.model_entity.uuid
 
-            if llm_model.model_entity.abilities.__contains__('func_call'):
-                # Get bound plugins and MCP servers for filtering tools
+                if llm_model.model_entity.abilities.__contains__('func_call'):
+                    # Get bound plugins and MCP servers for filtering tools
+                    bound_plugins = query.variables.get('_pipeline_bound_plugins', None)
+                    bound_mcp_servers = query.variables.get('_pipeline_bound_mcp_servers', None)
+                    query.use_funcs = await self.ap.tool_mgr.get_all_tools(bound_plugins, bound_mcp_servers)
+
+                    self.ap.logger.debug(f'Bound plugins: {bound_plugins}')
+                    self.ap.logger.debug(f'Bound MCP servers: {bound_mcp_servers}')
+                    self.ap.logger.debug(f'Use funcs: {query.use_funcs}')
+
+            # If primary model doesn't support func_call but fallback models exist,
+            # load tools anyway since fallback models may support them
+            if not query.use_funcs and query.variables.get('_fallback_model_uuids'):
                 bound_plugins = query.variables.get('_pipeline_bound_plugins', None)
                 bound_mcp_servers = query.variables.get('_pipeline_bound_mcp_servers', None)
                 query.use_funcs = await self.ap.tool_mgr.get_all_tools(bound_plugins, bound_mcp_servers)
 
-                self.ap.logger.debug(f'Bound plugins: {bound_plugins}')
-                self.ap.logger.debug(f'Bound MCP servers: {bound_mcp_servers}')
-                self.ap.logger.debug(f'Use funcs: {query.use_funcs}')
-
         sender_name = ''
 
         if isinstance(query.message_event, platform_events.GroupMessage):
@@ -133,8 +181,10 @@ class PreProcessor(stage.PipelineStage):
                 elif me.url:
                     content_list.append(provider_message.ContentElement.from_file_url(me.url, 'voice'))
             elif isinstance(me, platform_message.File):
-                # if me.url is not None:
-                content_list.append(provider_message.ContentElement.from_file_url(me.url, me.name))
+                if me.base64:
+                    content_list.append(provider_message.ContentElement.from_file_base64(me.base64, me.name))
+                elif me.url:
+                    content_list.append(provider_message.ContentElement.from_file_url(me.url, me.name))
             elif isinstance(me, platform_message.Quote) and quote_msg:
                 for msg in me.origin:
                     if isinstance(msg, platform_message.Plain):
@@ -145,10 +195,32 @@ class PreProcessor(stage.PipelineStage):
                         ):
                             if msg.base64 is not None:
                                 content_list.append(provider_message.ContentElement.from_image_base64(msg.base64))
+                    elif isinstance(msg, platform_message.File):
+                        if msg.base64:
+                            content_list.append(provider_message.ContentElement.from_file_base64(msg.base64, msg.name))
+                        elif msg.url:
+                            content_list.append(provider_message.ContentElement.from_file_url(msg.url, msg.name))
+                    elif isinstance(msg, platform_message.Voice):
+                        if msg.base64:
+                            content_list.append(
+                                provider_message.ContentElement.from_file_base64(msg.base64, 'voice.silk')
+                            )
+                        elif msg.url:
+                            content_list.append(provider_message.ContentElement.from_file_url(msg.url, 'voice'))
 
         query.variables['user_message_text'] = plain_text
 
         query.user_message = provider_message.Message(role='user', content=content_list)
+
+        # Extract knowledge base UUIDs into query variables so plugins can modify them
+        # during PromptPreProcessing before the runner performs retrieval.
+        kb_uuids = query.pipeline_config['ai']['local-agent'].get('knowledge-bases', [])
+        if not kb_uuids:
+            old_kb_uuid = query.pipeline_config['ai']['local-agent'].get('knowledge-base', '')
+            if old_kb_uuid and old_kb_uuid != '__none__':
+                kb_uuids = [old_kb_uuid]
+        query.variables['_knowledge_base_uuids'] = list(kb_uuids)
+
         # =========== 触发事件 PromptPreProcessing
 
         event = events.PromptPreProcessing(

src/langbot/pkg/pipeline/process/handlers/chat.py

@@ -61,6 +61,9 @@ class ChatMessageHandler(handler.MessageHandler):
 
                 yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
             else:
+                self.ap.logger.debug(
+                    f'NormalMessageReceived event prevented default for query {query.query_id} without reply'
+                )
                 yield entities.StageProcessResult(result_type=entities.ResultType.INTERRUPT, new_query=query)
         else:
             if event_ctx.event.user_message_alter is not None:
@@ -149,12 +152,19 @@ class ChatMessageHandler(handler.MessageHandler):
                 self.ap.logger.error(f'Conversation({query.query_id}) Request Failed: {error_info}')
                 traceback.print_exc()
 
-                hide_exception_info = query.pipeline_config['output']['misc']['hide-exception']
+                exception_handling = query.pipeline_config['output']['misc'].get('exception-handling', 'show-hint')
+
+                if exception_handling == 'show-error':
+                    user_notice = f'{e}'
+                elif exception_handling == 'show-hint':
+                    user_notice = query.pipeline_config['output']['misc'].get('failure-hint', 'Request failed.')
+                else:  # hide
+                    user_notice = None
 
                 yield entities.StageProcessResult(
                     result_type=entities.ResultType.INTERRUPT,
                     new_query=query,
-                    user_notice='请求失败' if hide_exception_info else f'{e}',
+                    user_notice=user_notice,
                     error_notice=f'{e}',
                     debug_notice=traceback.format_exc(),
                 )
@@ -198,6 +208,7 @@ class ChatMessageHandler(handler.MessageHandler):
                         'model_name': model_name,
                         'version': constants.semantic_version,
                         'instance_id': constants.instance_id,
+                        'edition': constants.edition,
                         'pipeline_plugins': pipeline_plugins,
                         'error': locals().get('error_info', None),
                         'timestamp': datetime.utcnow().isoformat(),

src/langbot/pkg/pipeline/resprule/resprule.py

@@ -37,6 +37,10 @@ class GroupRespondRuleCheckStage(stage.PipelineStage):
         if query.launcher_type.value != 'group':  # 只处理群消息
             return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
 
+        # 通过路由规则明确指定的流水线，跳过群响应规则检查
+        if query.variables and query.variables.get('_routed_by_rule', False):
+            return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
+
         rules = query.pipeline_config['trigger']['group-respond-rules']
 
         use_rule = rules

src/langbot/pkg/platform/botmgr.py

@@ -1,6 +1,8 @@
 from __future__ import annotations
 
 import asyncio
+import json
+import re
 import traceback
 import sqlalchemy
 
@@ -9,6 +11,7 @@ from ..core import app, entities as core_entities, taskmgr
 from ..discover import engine
 
 from ..entity.persistence import bot as persistence_bot
+from ..entity.persistence import pipeline as persistence_pipeline
 
 from ..entity.errors import platform as platform_errors
 
@@ -51,6 +54,148 @@ class RuntimeBot:
         self.task_context = taskmgr.TaskContext()
         self.logger = logger
 
+    @staticmethod
+    def _match_operator(actual: str, operator: str, expected: str) -> bool:
+        """Evaluate a single operator condition."""
+        if operator == 'eq':
+            return actual == expected
+        elif operator == 'neq':
+            return actual != expected
+        elif operator == 'contains':
+            return expected in actual
+        elif operator == 'not_contains':
+            return expected not in actual
+        elif operator == 'starts_with':
+            return actual.startswith(expected)
+        elif operator == 'regex':
+            try:
+                return bool(re.search(expected, actual))
+            except re.error:
+                return False
+        return False
+
+    PIPELINE_DISCARD = '__discard__'
+    PIPELINE_DISCARD_DISPLAY_NAME = 'Discarded'
+
+    def resolve_pipeline_uuid(
+        self,
+        launcher_type: str,
+        launcher_id: str,
+        message_text: str,
+        message_element_types: list[str] | None = None,
+    ) -> tuple[str | None, bool]:
+        """Resolve pipeline UUID based on routing rules.
+
+        Rules are evaluated in order; first match wins.
+        Falls back to use_pipeline_uuid if no rule matches.
+
+        Rule types:
+          - launcher_type: session type ("person" / "group")
+          - launcher_id: session / group id
+          - message_content: message text content
+          - message_has_element: message contains element of given type
+            (Image, Voice, File, Forward, Face, At, AtAll, Quote)
+            Operators: eq (has), neq (doesn't have)
+
+        Operators: eq, neq, contains, not_contains, starts_with, regex
+
+        When pipeline_uuid is ``__discard__``, the message should be
+        silently dropped by the caller.
+
+        Returns:
+            tuple: (pipeline_uuid, routed_by_rule) - routed_by_rule is True
+            when a routing rule matched, False when falling back to default.
+        """
+        rules = self.bot_entity.pipeline_routing_rules or []
+        element_type_set = set(message_element_types or [])
+
+        for rule in rules:
+            rule_type = rule.get('type')
+            operator = rule.get('operator', 'eq')
+            rule_value = rule.get('value', '')
+            target_uuid = rule.get('pipeline_uuid')
+            if not rule_type or not target_uuid:
+                continue
+
+            if rule_type == 'launcher_type':
+                if self._match_operator(launcher_type, operator, rule_value):
+                    return target_uuid, True
+            elif rule_type == 'launcher_id':
+                if self._match_operator(str(launcher_id), operator, str(rule_value)):
+                    return target_uuid, True
+            elif rule_type == 'message_content':
+                if self._match_operator(message_text, operator, rule_value):
+                    return target_uuid, True
+            elif rule_type == 'message_has_element':
+                has_element = rule_value in element_type_set
+                if operator == 'eq' and has_element:
+                    return target_uuid, True
+                elif operator == 'neq' and not has_element:
+                    return target_uuid, True
+
+        return self.bot_entity.use_pipeline_uuid, False
+
+    async def _record_discarded_message(
+        self,
+        launcher_type: provider_session.LauncherTypes,
+        launcher_id: str | int,
+        sender_id: str | int,
+        message_event: platform_events.MessageEvent,
+        message_chain: platform_message.MessageChain,
+    ) -> None:
+        """Record a discarded message in the monitoring system."""
+        try:
+            if hasattr(message_chain, 'model_dump'):
+                message_content = json.dumps(message_chain.model_dump(), ensure_ascii=False)
+            else:
+                message_content = str(message_chain)
+
+            sender_name = None
+            if hasattr(message_event, 'sender'):
+                if hasattr(message_event.sender, 'nickname'):
+                    sender_name = message_event.sender.nickname
+                elif hasattr(message_event.sender, 'member_name'):
+                    sender_name = message_event.sender.member_name
+
+            # Use the same session_id format as monitoring_helper.py
+            session_id = f'{launcher_type}_{launcher_id}'
+            platform = launcher_type.value if hasattr(launcher_type, 'value') else str(launcher_type)
+
+            await self.ap.monitoring_service.record_message(
+                bot_id=self.bot_entity.uuid,
+                bot_name=self.bot_entity.name or self.bot_entity.uuid,
+                pipeline_id=self.PIPELINE_DISCARD,
+                pipeline_name=self.PIPELINE_DISCARD_DISPLAY_NAME,
+                message_content=message_content,
+                session_id=session_id,
+                status='discarded',
+                level='info',
+                platform=platform,
+                user_id=str(sender_id),
+                user_name=sender_name,
+            )
+
+            # Ensure the session exists so the message appears in the session monitor.
+            # Don't overwrite pipeline info — a session may have messages from
+            # multiple pipelines; discarding shouldn't change the displayed pipeline.
+            session_updated = await self.ap.monitoring_service.update_session_activity(
+                session_id,
+            )
+            if not session_updated:
+                # No session yet (first message for this launcher was discarded).
+                await self.ap.monitoring_service.record_session_start(
+                    session_id=session_id,
+                    bot_id=self.bot_entity.uuid,
+                    bot_name=self.bot_entity.name or self.bot_entity.uuid,
+                    pipeline_id=self.PIPELINE_DISCARD,
+                    pipeline_name=self.PIPELINE_DISCARD_DISPLAY_NAME,
+                    platform=platform,
+                    user_id=str(sender_id),
+                    user_name=sender_name,
+                )
+        except Exception as e:
+            await self.logger.error(f'Failed to record discarded message: {e}')
+
     async def initialize(self):
         async def on_friend_message(
             event: platform_events.FriendMessage,
@@ -82,6 +227,23 @@ class RuntimeBot:
                     if custom_launcher_id:
                         launcher_id = custom_launcher_id
 
+                message_text = str(event.message_chain)
+                element_types = [comp.type for comp in event.message_chain]
+                pipeline_uuid, routed_by_rule = self.resolve_pipeline_uuid(
+                    'person', launcher_id, message_text, element_types
+                )
+
+                if pipeline_uuid == self.PIPELINE_DISCARD:
+                    await self.logger.info('Person message discarded by routing rule')
+                    await self._record_discarded_message(
+                        provider_session.LauncherTypes.PERSON,
+                        launcher_id,
+                        event.sender.id,
+                        event,
+                        event.message_chain,
+                    )
+                    return
+
                 await self.ap.msg_aggregator.add_message(
                     bot_uuid=self.bot_entity.uuid,
                     launcher_type=provider_session.LauncherTypes.PERSON,
@@ -90,7 +252,8 @@ class RuntimeBot:
                     message_event=event,
                     message_chain=event.message_chain,
                     adapter=adapter,
-                    pipeline_uuid=self.bot_entity.use_pipeline_uuid,
+                    pipeline_uuid=pipeline_uuid,
+                    routed_by_rule=routed_by_rule,
                 )
             else:
                 await self.logger.info('Pipeline skipped for person message due to webhook response')
@@ -125,6 +288,23 @@ class RuntimeBot:
                     if custom_launcher_id:
                         launcher_id = custom_launcher_id
 
+                message_text = str(event.message_chain)
+                element_types = [comp.type for comp in event.message_chain]
+                pipeline_uuid, routed_by_rule = self.resolve_pipeline_uuid(
+                    'group', launcher_id, message_text, element_types
+                )
+
+                if pipeline_uuid == self.PIPELINE_DISCARD:
+                    await self.logger.info('Group message discarded by routing rule')
+                    await self._record_discarded_message(
+                        provider_session.LauncherTypes.GROUP,
+                        launcher_id,
+                        event.sender.id,
+                        event,
+                        event.message_chain,
+                    )
+                    return
+
                 await self.ap.msg_aggregator.add_message(
                     bot_uuid=self.bot_entity.uuid,
                     launcher_type=provider_session.LauncherTypes.GROUP,
@@ -133,7 +313,8 @@ class RuntimeBot:
                     message_event=event,
                     message_chain=event.message_chain,
                     adapter=adapter,
-                    pipeline_uuid=self.bot_entity.use_pipeline_uuid,
+                    pipeline_uuid=pipeline_uuid,
+                    routed_by_rule=routed_by_rule,
                 )
             else:
                 await self.logger.info('Pipeline skipped for group message due to webhook response')
@@ -141,6 +322,50 @@ class RuntimeBot:
         self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
         self.adapter.register_listener(platform_events.GroupMessage, on_group_message)
 
+        # Register feedback listener (only effective on adapters that support it)
+        async def on_feedback(
+            event: platform_events.FeedbackEvent,
+            adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
+        ):
+            try:
+                # Resolve pipeline name
+                pipeline_name = ''
+                if self.bot_entity.use_pipeline_uuid:
+                    try:
+                        pipeline_result = await self.ap.persistence_mgr.execute_async(
+                            sqlalchemy.select(persistence_pipeline.LegacyPipeline.name).where(
+                                persistence_pipeline.LegacyPipeline.uuid == self.bot_entity.use_pipeline_uuid
+                            )
+                        )
+                        pipeline_row = pipeline_result.first()
+                        if pipeline_row:
+                            pipeline_name = pipeline_row[0]
+                    except Exception:
+                        pass
+
+                await self.ap.monitoring_service.record_feedback(
+                    feedback_id=event.feedback_id,
+                    feedback_type=event.feedback_type,
+                    feedback_content=event.feedback_content,
+                    inaccurate_reasons=event.inaccurate_reasons,
+                    bot_id=self.bot_entity.uuid,
+                    bot_name=self.bot_entity.name,
+                    pipeline_id=self.bot_entity.use_pipeline_uuid or '',
+                    pipeline_name=pipeline_name,
+                    session_id=event.session_id,
+                    message_id=event.message_id,
+                    stream_id=event.stream_id,
+                    user_id=event.user_id,
+                    platform=adapter.__class__.__name__,
+                )
+                await self.logger.info(
+                    f'Recorded feedback: feedback_id={event.feedback_id}, type={event.feedback_type}'
+                )
+            except Exception:
+                await self.logger.error(f'Failed to record feedback: {traceback.format_exc()}')
+
+        self.adapter.register_listener(platform_events.FeedbackEvent, on_feedback)
+
     async def run(self):
         async def exception_wrapper():
             try:
@@ -196,12 +421,20 @@ class PlatformManager:
         # delete all bot log images
         await self.ap.storage_mgr.storage_provider.delete_dir_recursive('bot_log_images')
 
+        disabled_adapters = self.ap.instance_config.data.get('system', {}).get('disabled_adapters', []) or []
+
         self.adapter_components = self.ap.discover.get_components_by_kind('MessagePlatformAdapter')
         adapter_dict: dict[str, type[abstract_platform_adapter.AbstractMessagePlatformAdapter]] = {}
         for component in self.adapter_components:
+            if component.metadata.name in disabled_adapters:
+                continue
             adapter_dict[component.metadata.name] = component.get_python_component_class()
         self.adapter_dict = adapter_dict
 
+        # Filter out disabled adapters from components list (for API responses)
+        if disabled_adapters:
+            self.adapter_components = [c for c in self.adapter_components if c.metadata.name not in disabled_adapters]
+
         # initialize websocket adapter
         websocket_adapter_class = self.adapter_dict['websocket']
         websocket_logger = EventLogger(name='websocket-adapter', ap=self.ap)
@@ -282,13 +515,15 @@ class PlatformManager:
         return runtime_bot
 
     async def get_bot_by_uuid(self, bot_uuid: str) -> RuntimeBot | None:
+        if self.websocket_proxy_bot and self.websocket_proxy_bot.bot_entity.uuid == bot_uuid:
+            return self.websocket_proxy_bot
         for bot in self.bots:
             if bot.bot_entity.uuid == bot_uuid:
                 return bot
         return None
 
     async def remove_bot(self, bot_uuid: str):
-        for bot in self.bots:
+        for bot in self.bots[:]:
             if bot.bot_entity.uuid == bot_uuid:
                 if bot.enable:
                     await bot.shutdown()

src/langbot/pkg/platform/sources/aiocqhttp.yaml

@@ -5,19 +5,29 @@ metadata:
   label:
     en_US: OneBot v11
     zh_Hans: OneBot v11
+    zh_Hant: OneBot v11
   description:
-    en_US: OneBot v11 Adapter
-    zh_Hans: OneBot v11 适配器，请查看文档了解使用方式
+    en_US: OneBot v11 Adapter, used for QQ bots
+    zh_Hans: OneBot v11 适配器，用于接入 QQ 机器人协议端，请查看文档了解使用方式
+    zh_Hant: OneBot v11 適配器，用於接入 QQ 機器人協定端，請查看文件了解使用方式
   icon: onebot.png
 spec:
+  categories:
+    - protocol
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/aiocqhttp
+    en: https://link.langbot.app/en/platforms/aiocqhttp
+    ja: https://link.langbot.app/ja/platforms/aiocqhttp
   config:
     - name: host
       label:
         en_US: Host
         zh_Hans: 主机
+        zh_Hant: 主機
       description:
         en_US: The host that OneBot v11 listens on for reverse WebSocket connections. Unless you know what you're doing, use 0.0.0.0
         zh_Hans: OneBot v11 监听的反向 WS 主机，除非你知道自己在做什么，否则请写 0.0.0.0
+        zh_Hant: OneBot v11 監聽的反向 WS 主機，除非你知道自己在做什麼，否則請填 0.0.0.0
       type: string
       required: true
       default: 0.0.0.0
@@ -25,9 +35,11 @@ spec:
       label:
         en_US: Port
         zh_Hans: 端口
+        zh_Hant: 連接埠
       description:
         en_US: Port
         zh_Hans: 监听的端口
+        zh_Hant: 監聽的連接埠
       type: integer
       required: true
       default: 2280
@@ -35,9 +47,11 @@ spec:
       label:
         en_US: Access Token
         zh_Hans: 访问令牌
+        zh_Hant: 存取令牌
       description:
         en_US: Custom connection token for the protocol endpoint. If the protocol endpoint is not set, don't fill it
         zh_Hans: 自定义的与协议端的连接令牌，若协议端未设置，则不填
+        zh_Hant: 自訂的與協定端的連線令牌，若協定端未設定，則不填
       type: string
       required: false
       default: ""

src/langbot/pkg/platform/sources/dingtalk.py

@@ -71,7 +71,8 @@ class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverte
                     yiri_msg_list.append(platform_message.Image(base64=element['Picture']))
         else:
             # 回退到原有简单逻辑
-            if event.content:
+            # 对于音频消息，content 来自 recognition 转写文字，在下方音频处理块中统一处理
+            if event.content and event.type != 'audio':
                 text_content = event.content.replace('@' + bot_name, '')
                 yiri_msg_list.append(platform_message.Plain(text=text_content))
             if event.picture:
@@ -81,7 +82,38 @@ class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverte
         if event.file:
             yiri_msg_list.append(platform_message.File(url=event.file, name=event.name))
         if event.audio:
-            yiri_msg_list.append(platform_message.Voice(base64=event.audio))
+            # 优先使用钉钉自带的语音转写文字（recognition字段）
+            if event.content and event.type == 'audio':
+                yiri_msg_list.append(platform_message.Plain(text=event.content))
+            else:
+                yiri_msg_list.append(platform_message.Voice(base64=event.audio))
+
+        # Handle quoted/replied message - extract content as top-level components
+        # so that plugins like FileReader can process them the same way as direct messages
+        if event.quoted_message:
+            quote_info = event.quoted_message
+            msg_type = quote_info.get('msg_type', '')
+
+            # Process quoted file - add as top-level File component (same as private chat)
+            if msg_type == 'file' and quote_info.get('file_url'):
+                file_name = quote_info.get('file_name', 'file')
+                yiri_msg_list.append(platform_message.File(url=quote_info['file_url'], name=file_name))
+
+            # Process quoted image - add as top-level Image component
+            elif msg_type == 'picture' and quote_info.get('picture'):
+                yiri_msg_list.append(platform_message.Image(base64=quote_info['picture']))
+
+            # Process quoted audio - add as top-level Voice component
+            elif msg_type == 'audio' and quote_info.get('audio'):
+                yiri_msg_list.append(platform_message.Voice(base64=quote_info['audio']))
+
+            # Process quoted text - add as Plain text with context prefix
+            elif msg_type == 'text' and quote_info.get('content'):
+                yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info["content"]}'))
+
+            # Process quoted rich text - add as Plain text with context prefix
+            elif msg_type == 'richText' and quote_info.get('content'):
+                yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info["content"]}'))
 
         chain = platform_message.MessageChain(yiri_msg_list)
 

src/langbot/pkg/platform/sources/dingtalk.yaml

@@ -5,16 +5,25 @@ metadata:
   label:
     en_US: DingTalk
     zh_Hans: 钉钉
+    zh_Hant: 釘釘
   description:
     en_US: DingTalk Adapter
     zh_Hans: 钉钉适配器，请查看文档了解使用方式
+    zh_Hant: 釘釘適配器，請查看文件了解使用方式
   icon: dingtalk.svg
 spec:
+  categories:
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/dingtalk
+    en: https://link.langbot.app/en/platforms/dingtalk
+    ja: https://link.langbot.app/ja/platforms/dingtalk
   config:
     - name: client_id
       label:
         en_US: Client ID
         zh_Hans: 客户端ID
+        zh_Hant: 用戶端ID
       type: string
       required: true
       default: ""
@@ -22,6 +31,7 @@ spec:
       label:
         en_US: Client Secret
         zh_Hans: 客户端密钥
+        zh_Hant: 用戶端密鑰
       type: string
       required: true
       default: ""
@@ -29,6 +39,7 @@ spec:
       label:
         en_US: Robot Code
         zh_Hans: 机器人代码
+        zh_Hant: 機器人代碼
       type: string
       required: true
       default: ""
@@ -36,6 +47,7 @@ spec:
       label:
         en_US: Robot Name
         zh_Hans: 机器人名称
+        zh_Hant: 機器人名稱
       type: string
       required: true
       default: ""
@@ -43,6 +55,7 @@ spec:
       label:
         en_US: Markdown Card
         zh_Hans: 是否使用 Markdown 卡片
+        zh_Hant: 是否使用 Markdown 卡片
       type: boolean
       required: false
       default: true
@@ -50,9 +63,11 @@ spec:
       label:
         en_US: Enable Stream Reply Mode
         zh_Hans: 启用钉钉卡片流式回复模式
+        zh_Hant: 啟用釘釘卡片串流回覆模式
       description:
         en_US: If enabled, the bot will use the stream of lark reply mode
         zh_Hans: 如果启用，将使用钉钉卡片流式方式来回复内容
+        zh_Hant: 如果啟用，將使用釘釘卡片串流方式來回覆內容
       type: boolean
       required: true
       default: false
@@ -60,6 +75,7 @@ spec:
       label:
         en_US: Card Auto Layout
         zh_Hans: 卡片宽屏自动布局
+        zh_Hant: 卡片寬螢幕自動佈局
       type: boolean
       required: false
       default: false
@@ -67,6 +83,7 @@ spec:
       label:
         en_US: card template id
         zh_Hans: 卡片模板ID
+        zh_Hant: 卡片範本ID
       type: string
       required: true
       default: "填写你的卡片template_id"

src/langbot/pkg/platform/sources/discord.yaml

@@ -5,16 +5,38 @@ metadata:
   label:
     en_US: Discord
     zh_Hans: Discord
+    zh_Hant: Discord
+    ja_JP: Discord
+    th_TH: Discord
+    vi_VN: Discord
+    es_ES: Discord
   description:
     en_US: Discord Adapter
-    zh_Hans: Discord 适配器，请查看文档了解使用方式
+    zh_Hans: Discord 适配器，需要可连接 Discord 服务器的网络环境
+    zh_Hant: Discord 適配器，需要可連線 Discord 伺服器的網路環境
+    ja_JP: Discord アダプター、Discord サーバーに接続可能なネットワーク環境が必要です
+    th_TH: อะแดปเตอร์ Discord ต้องการสภาพแวดล้อมเครือข่ายที่สามารถเชื่อมต่อกับเซิร์ฟเวอร์ Discord ได้
+    vi_VN: Bộ điều hợp Discord, cần môi trường mạng có thể kết nối với máy chủ Discord
+    es_ES: Adaptador de Discord, requiere un entorno de red con acceso al servidor de Discord
   icon: discord.svg
 spec:
+  categories:
+    - popular
+    - global
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/discord
+    en: https://link.langbot.app/en/platforms/discord
+    ja: https://link.langbot.app/ja/platforms/discord
   config:
     - name: client_id
       label:
         en_US: Client ID
         zh_Hans: 客户端ID
+        zh_Hant: 用戶端ID
+        ja_JP: クライアント ID
+        th_TH: รหัสไคลเอนต์
+        vi_VN: ID khách hàng
+        es_ES: ID de cliente
       type: string
       required: true
       default: ""
@@ -22,6 +44,11 @@ spec:
       label:
         en_US: Token
         zh_Hans: 令牌
+        zh_Hant: 令牌
+        ja_JP: トークン
+        th_TH: โทเค็น
+        vi_VN: Mã thông báo
+        es_ES: Token
       type: string
       required: true
       default: ""

src/langbot/pkg/platform/sources/kook.yaml

@@ -5,16 +5,25 @@ metadata:
   label:
     en_US: KOOK
     zh_Hans: KOOK
+    zh_Hant: KOOK
   description:
     en_US: KOOK Adapter (formerly KaiHeiLa)
     zh_Hans: KOOK 适配器(原开黑啦)，支持频道消息和私聊消息
+    zh_Hant: KOOK 適配器（原開黑啦），支援頻道訊息和私聊訊息
   icon: kook.png
 spec:
+  categories:
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/kook
+    en: https://link.langbot.app/en/platforms/kook
+    ja: https://link.langbot.app/ja/platforms/kook
   config:
     - name: token
       label:
         en_US: Bot Token
         zh_Hans: 机器人令牌
+        zh_Hant: 機器人令牌
       type: string
       required: true
       default: ""

src/langbot/pkg/platform/sources/lark.py

@@ -575,6 +575,127 @@ class LarkMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
 
 
 class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
+    _processed_thread_quote_cache: typing.ClassVar[dict[str, float]] = {}
+    _processed_thread_quote_cache_max_size: typing.ClassVar[int] = 4096
+    _processed_thread_quote_cache_ttl_seconds: typing.ClassVar[int] = 86400
+
+    @classmethod
+    def _prune_processed_thread_quote_cache(cls, now: typing.Optional[float] = None) -> None:
+        if now is None:
+            now = time.time()
+
+        expire_before = now - cls._processed_thread_quote_cache_ttl_seconds
+        while cls._processed_thread_quote_cache:
+            oldest_key, oldest_ts = next(iter(cls._processed_thread_quote_cache.items()))
+            if oldest_ts >= expire_before:
+                break
+            cls._processed_thread_quote_cache.pop(oldest_key, None)
+
+        while len(cls._processed_thread_quote_cache) > cls._processed_thread_quote_cache_max_size:
+            oldest_key = next(iter(cls._processed_thread_quote_cache))
+            cls._processed_thread_quote_cache.pop(oldest_key, None)
+
+    @classmethod
+    def _mark_thread_quote_processed(cls, thread_id: str) -> None:
+        now = time.time()
+        cls._prune_processed_thread_quote_cache(now)
+        cls._processed_thread_quote_cache[thread_id] = now
+
+    @classmethod
+    def _extract_quote_message_id(cls, message: EventMessage) -> typing.Optional[str]:
+        """
+        Extract the message ID to quote from the given message.
+
+        Rules:
+        - First thread reply in a topic: return parent_id and mark topic as processed
+        - Follow-up thread replies in the same topic: return None
+        - Non-thread message: return parent_id if valid (non-empty, different from message_id)
+
+        Thread reply state is kept in a bounded TTL cache to avoid unbounded memory growth.
+        """
+        parent_id = getattr(message, 'parent_id', None)
+        if not parent_id:
+            return None
+
+        message_id = getattr(message, 'message_id', None)
+        if parent_id == message_id:
+            return None
+
+        thread_id = getattr(message, 'thread_id', None)
+        if thread_id:
+            cls._prune_processed_thread_quote_cache()
+            if thread_id in cls._processed_thread_quote_cache:
+                return None
+            cls._mark_thread_quote_processed(thread_id)
+
+        return parent_id
+
+    @staticmethod
+    def _build_event_message_from_message_item(message_item: Message) -> typing.Optional[EventMessage]:
+        """
+        Build EventMessage from SDK typed Message item.
+
+        Returns None if body or content is missing.
+        """
+        body = getattr(message_item, 'body', None)
+        if not body:
+            return None
+
+        content = getattr(body, 'content', None)
+        if not content:
+            return None
+
+        event_data = {
+            'message_id': message_item.message_id,
+            'message_type': message_item.msg_type,
+            'content': content,
+            'create_time': message_item.create_time,
+            'mentions': getattr(message_item, 'mentions', []) or [],
+        }
+
+        # Preserve thread-related fields
+        if hasattr(message_item, 'parent_id') and message_item.parent_id:
+            event_data['parent_id'] = message_item.parent_id
+        if hasattr(message_item, 'root_id') and message_item.root_id:
+            event_data['root_id'] = message_item.root_id
+        if hasattr(message_item, 'thread_id') and message_item.thread_id:
+            event_data['thread_id'] = message_item.thread_id
+        if hasattr(message_item, 'chat_id') and message_item.chat_id:
+            event_data['chat_id'] = message_item.chat_id
+
+        return EventMessage(event_data)
+
+    @staticmethod
+    async def _fetch_quoted_message(
+        quote_message_id: str,
+        api_client: lark_oapi.Client,
+    ) -> typing.Optional[platform_message.MessageChain]:
+        """
+        Fetch the quoted message and convert to MessageChain.
+
+        Returns None if:
+        - API call fails
+        - Response items is empty
+        - Message item normalization fails
+        """
+        request = GetMessageRequest.builder().message_id(quote_message_id).build()
+        response = await api_client.im.v1.message.aget(request)
+
+        if not response.success():
+            return None
+
+        items = getattr(response.data, 'items', None)
+        if not items:
+            return None
+
+        message_item = items[0]
+        event_message = LarkEventConverter._build_event_message_from_message_item(message_item)
+        if event_message is None:
+            return None
+
+        quote_chain = await LarkMessageConverter.target2yiri(event_message, api_client)
+        return quote_chain
+
     @staticmethod
     async def yiri2target(
         event: platform_events.MessageEvent,
@@ -587,6 +708,31 @@ class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
     ) -> platform_events.Event:
         message_chain = await LarkMessageConverter.target2yiri(event.event.message, api_client)
 
+        # Check for quote/reply message
+        # Extract files/images/voice from quote and add them as top-level components
+        # so that plugins like FileReader can process them the same way as direct messages
+        quote_message_id = LarkEventConverter._extract_quote_message_id(event.event.message)
+        if quote_message_id:
+            quote_chain = await LarkEventConverter._fetch_quoted_message(quote_message_id, api_client)
+            if quote_chain:
+                # Filter out Source component from quoted chain, keep only content
+                quote_components = [comp for comp in quote_chain if not isinstance(comp, platform_message.Source)]
+
+                # Add quoted content as top-level components instead of wrapping in Quote
+                for comp in quote_components:
+                    if isinstance(comp, platform_message.File):
+                        # Add file as top-level component (same as direct message)
+                        message_chain.append(comp)
+                    elif isinstance(comp, platform_message.Image):
+                        # Add image as top-level component
+                        message_chain.append(comp)
+                    elif isinstance(comp, platform_message.Voice):
+                        # Add voice as top-level component
+                        message_chain.append(comp)
+                    elif isinstance(comp, platform_message.Plain):
+                        # Add text with context prefix
+                        message_chain.append(platform_message.Plain(text=f'[引用消息] {comp.text}'))
+
         if event.event.message.chat_type == 'p2p':
             return platform_events.FriendMessage(
                 sender=platform_entities.Friend(
@@ -641,6 +787,13 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
 
     card_id_dict: dict[str, str]  # 消息id到卡片id的映射，便于创建卡片后的发送消息到指定卡片
 
+    # Monitoring message ID mapping for feedback correlation
+    # Temp: user Lark message ID → monitoring_message_id (populated by on_monitoring_message_created, consumed by create_message_card)
+    pending_monitoring_msg: dict[str, str]
+    # Final: reply Lark message ID → (monitoring_message_id, timestamp) (used by feedback callbacks)
+    reply_to_monitoring_msg: dict[str, tuple[str, float]]
+    _MONITORING_MAPPING_TTL = 600  # 10 minutes
+
     seq: int  # 用于在发送卡片消息中识别消息顺序，直接以seq作为标识
     bot_uuid: str = None  # 机器人UUID
     app_ticket: str = None  # 商店应用用到
@@ -659,8 +812,71 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         def sync_on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
             asyncio.create_task(on_message(event))
 
+        def sync_on_card_action(event):
+            try:
+                action_value_obj = getattr(getattr(event.event, 'action', None), 'value', {})
+                action_value = action_value_obj.get('feedback', '') if isinstance(action_value_obj, dict) else ''
+
+                if action_value == '有帮助':
+                    feedback_type = 1
+                elif action_value == '无帮助':
+                    feedback_type = 2
+                else:
+                    from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
+
+                    return P2CardActionTriggerResponse({'toast': {'type': 'success', 'content': '操作成功'}})
+
+                operator = getattr(event.event, 'operator', None)
+                context = getattr(event.event, 'context', None)
+
+                user_id = getattr(operator, 'open_id', None) or getattr(operator, 'user_id', None)
+                open_chat_id = getattr(context, 'open_chat_id', None)
+                open_message_id = getattr(context, 'open_message_id', None)
+
+                if open_chat_id:
+                    session_id = f'group_{open_chat_id}'
+                elif user_id:
+                    session_id = f'person_{user_id}'
+                else:
+                    session_id = None
+
+                # Resolve monitoring message ID from reply message mapping
+                monitoring_msg_id = None
+                if open_message_id and open_message_id in self.reply_to_monitoring_msg:
+                    monitoring_msg_id = self.reply_to_monitoring_msg[open_message_id][0]
+
+                feedback_event = platform_events.FeedbackEvent(
+                    feedback_id=getattr(event.header, 'event_id', str(uuid.uuid4())),
+                    feedback_type=feedback_type,
+                    feedback_content=action_value,
+                    user_id=user_id,
+                    session_id=session_id,
+                    message_id=open_message_id,
+                    stream_id=monitoring_msg_id,
+                    source_platform_object=event,
+                )
+
+                if platform_events.FeedbackEvent in self.listeners:
+                    loop = asyncio.get_event_loop()
+                    if loop.is_running():
+                        asyncio.create_task(self.listeners[platform_events.FeedbackEvent](feedback_event, self))
+                    else:
+                        loop.run_until_complete(self.listeners[platform_events.FeedbackEvent](feedback_event, self))
+
+                from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
+
+                return P2CardActionTriggerResponse({'toast': {'type': 'success', 'content': '感谢您的反馈'}})
+            except Exception:
+                asyncio.create_task(self.logger.error(f'Error in lark card action callback: {traceback.format_exc()}'))
+                from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
+
+                return P2CardActionTriggerResponse({'toast': {'type': 'error', 'content': '反馈处理失败'}})
+
         event_handler = (
-            lark_oapi.EventDispatcherHandler.builder('', '').register_p2_im_message_receive_v1(sync_on_message).build()
+            lark_oapi.EventDispatcherHandler.builder('', '')
+            .register_p2_im_message_receive_v1(sync_on_message)
+            .register_p2_card_action_trigger(sync_on_card_action)
+            .build()
         )
 
         bot_account_id = config['bot_name']
@@ -675,6 +891,8 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             logger=logger,
             lark_tenant_key=config.get('lark_tenant_key', ''),
             card_id_dict={},
+            pending_monitoring_msg={},
+            reply_to_monitoring_msg={},
             seq=1,
             listeners={},
             quart_app=quart_app,
@@ -770,6 +988,32 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             self.request_tenant_access_token(tenant_key)
         return self.tenant_access_tokens.get(tenant_key)['token'] if self.tenant_access_tokens.get(tenant_key) else None
 
+    def get_launcher_id(self, event: platform_events.MessageEvent) -> str | None:
+        """
+        Get topic-scoped launcher_id for thread-aware session isolation.
+
+        For group thread messages, returns "{group_id}_{thread_id}"
+        to ensure conversation context stays stable per topic.
+
+        Returns None for non-thread messages or P2P messages.
+        """
+        source_event = getattr(event.source_platform_object, 'event', None)
+        if not source_event:
+            return None
+
+        message = getattr(source_event, 'message', None)
+        if not message:
+            return None
+
+        thread_id = getattr(message, 'thread_id', None)
+        if not thread_id:
+            return None
+
+        if isinstance(event, platform_events.GroupMessage):
+            return f'{event.group.id}_{thread_id}'
+
+        return None
+
     def build_api_client(self, config):
         app_id = config['app_id']
         app_secret = config['app_secret']
@@ -789,6 +1033,22 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             is_stream = True
         return is_stream
 
+    async def on_monitoring_message_created(self, query, monitoring_message_id: str):
+        """Called by pipeline after monitoring message is created, to map user message ID to monitoring message ID."""
+        try:
+            user_msg_id = query.message_event.message_chain.message_id
+            if user_msg_id:
+                self.pending_monitoring_msg[user_msg_id] = monitoring_message_id
+        except Exception as e:
+            await self.logger.debug(f'Failed to map message to monitoring message: {e}')
+
+    def _cleanup_monitoring_mapping(self):
+        """Remove entries older than TTL from the reply-to-monitoring mapping."""
+        now = time.time()
+        expired = [k for k, (_, ts) in self.reply_to_monitoring_msg.items() if now - ts > self._MONITORING_MAPPING_TTL]
+        for k in expired:
+            del self.reply_to_monitoring_msg[k]
+
     async def create_card_id(self, message_id):
         try:
             # self.logger.debug('飞书支持stream输出,创建卡片......')
@@ -924,6 +1184,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                                             'size': 'medium',
                                             'icon': {'tag': 'standard_icon', 'token': 'thumbsup_outlined'},
                                             'hover_tips': {'tag': 'plain_text', 'content': '有帮助'},
+                                            'behaviors': [{'type': 'callback', 'value': {'feedback': '有帮助'}}],
                                             'margin': '0px 0px 0px 0px',
                                         }
                                     ],
@@ -947,6 +1208,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                                             'size': 'medium',
                                             'icon': {'tag': 'standard_icon', 'token': 'thumbdown_outlined'},
                                             'hover_tips': {'tag': 'plain_text', 'content': '无帮助'},
+                                            'behaviors': [{'type': 'callback', 'value': {'feedback': '无帮助'}}],
                                             'margin': '0px 0px 0px 0px',
                                         }
                                     ],
@@ -1026,6 +1288,18 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             raise Exception(
                 f'client.im.v1.message.reply failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
             )
+
+        # Transfer monitoring message mapping: user msg ID → reply msg ID
+        try:
+            user_msg_id = event.message_chain.message_id
+            reply_msg_id = getattr(response.data, 'message_id', None)
+            monitoring_msg_id = self.pending_monitoring_msg.pop(user_msg_id, None)
+            if reply_msg_id and monitoring_msg_id:
+                self.reply_to_monitoring_msg[reply_msg_id] = (monitoring_msg_id, time.time())
+                self._cleanup_monitoring_mapping()
+        except Exception as e:
+            asyncio.create_task(self.logger.debug(f'Failed to transfer monitoring mapping in create_message_card: {e}'))
+
         return True
 
     async def reply_message(
@@ -1308,6 +1582,58 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
 
                 if event.__class__ in self.listeners:
                     await self.listeners[event.__class__](event, self)
+            elif 'card.action.trigger' == type:
+                try:
+                    event_data = data.get('event', {})
+                    operator = event_data.get('operator', {})
+                    action = event_data.get('action', {})
+                    context_data = event_data.get('context', {})
+
+                    action_value_obj = action.get('value', {})
+                    action_value = action_value_obj.get('feedback', '') if isinstance(action_value_obj, dict) else ''
+
+                    if action_value == '有帮助':
+                        feedback_type = 1
+                    elif action_value == '无帮助':
+                        feedback_type = 2
+                    else:
+                        return {'toast': {'type': 'success', 'content': '操作成功'}}
+
+                    user_id = operator.get('open_id') or operator.get('user_id')
+                    open_chat_id = context_data.get('open_chat_id')
+                    open_message_id = context_data.get('open_message_id')
+
+                    if open_chat_id:
+                        session_id = f'group_{open_chat_id}'
+                    elif user_id:
+                        session_id = f'person_{user_id}'
+                    else:
+                        session_id = None
+
+                    # Resolve monitoring message ID from reply message mapping
+                    monitoring_msg_id = None
+                    if open_message_id and open_message_id in self.reply_to_monitoring_msg:
+                        monitoring_msg_id = self.reply_to_monitoring_msg[open_message_id][0]
+
+                    feedback_event = platform_events.FeedbackEvent(
+                        feedback_id=data.get('header', {}).get('event_id', str(uuid.uuid4())),
+                        feedback_type=feedback_type,
+                        feedback_content=action_value,
+                        user_id=user_id,
+                        session_id=session_id,
+                        message_id=open_message_id,
+                        stream_id=monitoring_msg_id,
+                        source_platform_object=data,
+                    )
+
+                    if platform_events.FeedbackEvent in self.listeners:
+                        await self.listeners[platform_events.FeedbackEvent](feedback_event, self)
+
+                    return {'toast': {'type': 'success', 'content': '感谢您的反馈'}}
+                except Exception:
+                    await self.logger.error(f'Error in lark card action callback: {traceback.format_exc()}')
+                    return {'toast': {'type': 'error', 'content': '反馈处理失败'}}
+
             elif 'im.chat.member.bot.added_v1' == type:
                 try:
                     bot_added_welcome_msg = self.config.get('bot_added_welcome', '')

src/langbot/pkg/platform/sources/lark.yaml

@@ -5,16 +5,30 @@ metadata:
   label:
     en_US: Lark
     zh_Hans: 飞书
+    zh_Hant: 飛書
+    ja_JP: Lark
   description:
-    en_US: Lark Adapter
-    zh_Hans: 飞书适配器，请查看文档了解使用方式
+    en_US: Lark Adapter, supports both long connection and Webhook modes. Please refer to the documentation for usage details.
+    zh_Hans: 飞书适配器，支持长连接和 Webhook 两种接入方式，请查看文档了解使用方式
+    zh_Hant: 飛書適配器，支援長連線和 Webhook 兩種接入方式，請查看文件了解使用方式
+    ja_JP: Lark アダプター、長期接続およびWebhookモードの両方をサポートしています。使用方法の詳細については、ドキュメントを参照してください。
   icon: lark.svg
 spec:
+  categories:
+    - popular
+    - china
+    - global
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/lark
+    en: https://link.langbot.app/en/platforms/lark
+    ja: https://link.langbot.app/ja/platforms/lark
   config:
     - name: app_id
       label:
         en_US: App ID
         zh_Hans: 应用ID
+        zh_Hant: 應用ID
+        ja_JP: アプリ ID
       type: string
       required: true
       default: ""
@@ -22,6 +36,8 @@ spec:
       label:
         en_US: App Secret
         zh_Hans: 应用密钥
+        zh_Hant: 應用密鑰
+        ja_JP: アプリシークレット
       type: string
       required: true
       default: ""
@@ -29,9 +45,13 @@ spec:
       label:
         en_US: Bot Name
         zh_Hans: 机器人名称
+        zh_Hant: 機器人名稱
+        ja_JP: ボット名
       description:
         en_US: Must be the same as the name of the bot in Lark, otherwise the bot will not be able to receive messages in the group
         zh_Hans: 必须与飞书机器人名称一致，否则机器人将无法在群内正常接收消息
+        zh_Hant: 必須與飛書機器人名稱一致，否則機器人將無法在群組內正常接收訊息
+        ja_JP: Lark のボット名と一致する必要があります。一致しない場合、グループ内でメッセージを受信できません
       type: string
       required: true
       default: ""
@@ -39,29 +59,63 @@ spec:
       label:
         en_US: Enable Webhook Mode
         zh_Hans: 启用Webhook模式
+        zh_Hant: 啟用 Webhook 模式
+        ja_JP: Webhook モードを有効化
       description:
         en_US: If enabled, the bot will use webhook mode to receive messages. Otherwise, it will use WS long connection mode
         zh_Hans: 如果启用，机器人将使用 Webhook 模式接收消息。否则，将使用 WS 长连接模式
+        zh_Hant: 如果啟用，機器人將使用 Webhook 模式接收訊息。否則，將使用 WS 長連線模式
+        ja_JP: 有効にすると、ボットは Webhook モードでメッセージを受信します。無効の場合は WS 長期接続モードを使用します
       type: boolean
       required: true
       default: false
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        zh_Hant: Webhook 回調地址
+        ja_JP: Webhook コールバック URL
+      description:
+        en_US: Copy this URL and paste it into your Lark app's webhook configuration
+        zh_Hans: 复制此地址并粘贴到飞书应用的 Webhook 配置中
+        zh_Hant: 複製此地址並貼到飛書應用的 Webhook 設定中
+        ja_JP: この URL をコピーして Lark アプリの Webhook 設定に貼り付けてください
+      type: webhook-url
+      required: false
+      default: ""
+      show_if:
+        field: enable-webhook
+        operator: eq
+        value: true
     - name: encrypt-key
       label:
         en_US: Encrypt Key
         zh_Hans: 加密密钥
+        zh_Hant: 加密密鑰
+        ja_JP: 暗号化キー
       description:
         en_US: Only valid when webhook mode is enabled, please fill in the encrypt key
         zh_Hans: 仅在启用 Webhook 模式时有效，请填写加密密钥
+        zh_Hant: 僅在啟用 Webhook 模式時有效，請填寫加密密鑰
+        ja_JP: Webhook モードが有効な場合にのみ有効です。暗号化キーを入力してください
       type: string
       required: true
       default: ""
+      show_if:
+        field: enable-webhook
+        operator: eq
+        value: true
     - name: enable-stream-reply
       label:
         en_US: Enable Stream Reply Mode
         zh_Hans: 启用飞书流式回复模式
+        zh_Hant: 啟用飛書串流回覆模式
+        ja_JP: ストリーミング返信モードを有効化
       description:
         en_US: If enabled, the bot will use the stream of lark reply mode
         zh_Hans: 如果启用，将使用飞书流式方式来回复内容
+        zh_Hant: 如果啟用，將使用飛書串流方式來回覆內容
+        ja_JP: 有効にすると、ボットはストリーミングモードでメッセージに返信します
       type: boolean
       required: true
       default: false
@@ -69,28 +123,40 @@ spec:
       label:
         en_US: App Type
         zh_Hans: 应用类型
+        zh_Hant: 應用類型
+        ja_JP: アプリタイプ
       description:
         en_US: Default to self-built application, refer to https://open.feishu.cn/document/platform-overveiw/overview
         zh_Hans: 默认为企业自建应用，参考 https://open.feishu.cn/document/platform-overveiw/overview
+        zh_Hant: 預設為企業自建應用，參考 https://open.feishu.cn/document/platform-overveiw/overview
+        ja_JP: デフォルトはカスタムアプリです。詳細は https://open.feishu.cn/document/platform-overveiw/overview を参照してください
       type: select
       options:
         - name: self
           label:
             en_US: Self-built Application
             zh_Hans: 自建应用
+            zh_Hant: 自建應用
+            ja_JP: カスタムアプリ
         - name: isv
           label:
             en_US: Store Application
             zh_Hans: 商店应用
+            zh_Hant: 商店應用
+            ja_JP: ストアアプリ
       required: false
       default: self
     - name: bot_added_welcome
       label:
         en_US: Bot Welcome Message
         zh_Hans: 机器人进群欢迎语
+        zh_Hant: 機器人進群歡迎語
+        ja_JP: ボット参加時のウェルカムメッセージ
       description:
         en_US: Welcome message when the bot is added to a group, supports Markdown format
         zh_Hans: 机器人进群欢迎语，支持 Markdown 格式
+        zh_Hant: 機器人進群歡迎語，支援 Markdown 格式
+        ja_JP: ボットがグループに追加された際のウェルカムメッセージ。Markdown 形式に対応しています
       type: text
       required: false
       default: ""

src/langbot/pkg/platform/sources/line.yaml

@@ -5,20 +5,56 @@ metadata:
   label:
     en_US: LINE
     zh_Hans: LINE
+    zh_Hant: LINE
+    th_TH: LINE
+    vi_VN: LINE
+    es_ES: LINE
   description:
-    en_US: LINE Adapter
-    zh_Hans: LINE适配器，请查看文档了解使用方式
-    ja_JP: LINEアダプター、ドキュメントを参照してください
-    zh_Hant: LINE適配器，請查看文檔了解使用方式
+    en_US: LINE Adapter, requires a public URL to receive LINE message pushes, please refer to the documentation for usage details
+    zh_Hans: LINE适配器，需要公网地址以接收 LINE 消息推送，请查看文档了解使用方式
+    zh_Hant: LINE 適配器，需要公網地址以接收 LINE 訊息推送，請查看文件了解使用方式
+    ja_JP: LINEアダプター、LINEのメッセージプッシュを受信するためにパブリックURLが必要です。使用方法の詳細については、ドキュメントを参照してください。
+    th_TH: อะแดปเตอร์ LINE ต้องการ URL สาธารณะเพื่อรับการแจ้งเตือนข้อความจาก LINE โปรดดูเอกสารประกอบสำหรับรายละเอียดการใช้งาน
+    vi_VN: Bộ điều hợp LINE, cần URL công cộng để nhận thông báo tin nhắn LINE, vui lòng xem tài liệu để biết chi tiết cách sử dụng
+    es_ES: Adaptador de LINE, requiere una URL pública para recibir notificaciones de mensajes de LINE, consulte la documentación para obtener detalles de uso
   icon: line.png
 spec:
+  categories:
+    - global
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/line
+    en: https://link.langbot.app/en/platforms/line
+    ja: https://link.langbot.app/ja/platforms/line
   config:
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        ja_JP: Webhook コールバック URL
+        zh_Hant: Webhook 回調地址
+        th_TH: URL การเรียกกลับ Webhook
+        vi_VN: URL gọi lại Webhook
+        es_ES: URL de devolución de llamada Webhook
+      description:
+        en_US: Copy this URL and paste it into your LINE channel's webhook configuration
+        zh_Hans: 复制此地址并粘贴到 LINE 频道的 Webhook 配置中
+        ja_JP: この URL をコピーして LINE チャンネルの Webhook 設定に貼り付けてください
+        zh_Hant: 複製此地址並貼到 LINE 頻道的 Webhook 設定中
+        th_TH: คัดลอก URL นี้แล้ววางในการตั้งค่า Webhook ของช่อง LINE ของคุณ
+        vi_VN: Sao chép URL này và dán vào cấu hình webhook của kênh LINE của bạn
+        es_ES: Copie esta URL y péguela en la configuración de webhook de su canal LINE
+      type: webhook-url
+      required: false
+      default: ""
     - name: channel_access_token
       label:
         en_US: Channel access token
         zh_Hans: 频道访问令牌
         ja_JP: チャンネルアクセストークン
-        zh_Hant: 頻道訪問令牌
+        zh_Hant: 頻道存取令牌
+        th_TH: โทเค็นการเข้าถึงช่อง
+        vi_VN: Mã truy cập kênh
+        es_ES: Token de acceso del canal
       type: string
       required: true
       default: ""
@@ -27,12 +63,18 @@ spec:
         en_US: Channel secret
         zh_Hans: 消息密钥
         ja_JP: チャンネルシークレット
-        zh_Hant: 消息密钥
+        zh_Hant: 訊息密鑰
+        th_TH: รหัสลับช่อง
+        vi_VN: Khóa bí mật kênh
+        es_ES: Secreto del canal
       description:
         en_US: Only valid when webhook mode is enabled, please fill in the encrypt key
         zh_Hans: 请填写加密密钥
         ja_JP: Webhookモードが有効な場合にのみ、暗号化キーを入力してください
-        zh_Hant: 請填寫加密密钥
+        zh_Hant: 請填寫加密密鑰
+        th_TH: กรุณากรอกคีย์เข้ารหัส
+        vi_VN: Vui lòng điền khóa mã hóa
+        es_ES: Por favor, introduzca la clave de cifrado
       type: string
       required: true
       default: ""

src/langbot/pkg/platform/sources/matrix.py

@@ -0,0 +1,693 @@
+from __future__ import annotations
+
+import typing
+import asyncio
+import traceback
+import base64
+import json
+
+import nio
+
+from langbot.pkg.utils import httpclient
+import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+import langbot_plugin.api.entities.builtin.platform.events as platform_events
+import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
+import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
+
+
+class MatrixMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
+    @staticmethod
+    async def yiri2target(message_chain: platform_message.MessageChain, client: nio.AsyncClient) -> list[dict]:
+        components = []
+        for component in message_chain:
+            if isinstance(component, platform_message.Plain):
+                components.append({'type': 'text', 'text': component.text})
+            elif isinstance(component, platform_message.Image):
+                image_bytes = None
+                if component.base64:
+                    b64_data = component.base64
+                    if ';base64,' in b64_data:
+                        b64_data = b64_data.split(';base64,', 1)[1]
+                    image_bytes = base64.b64decode(b64_data)
+                elif component.url:
+                    session = httpclient.get_session()
+                    async with session.get(component.url) as response:
+                        image_bytes = await response.read()
+                elif component.path:
+                    with open(component.path, 'rb') as f:
+                        image_bytes = f.read()
+                if image_bytes:
+                    resp = await client.upload(image_bytes, content_type='image/png')
+                    if isinstance(resp, nio.UploadResponse):
+                        components.append({'type': 'image', 'mxc_url': resp.content_uri})
+            elif isinstance(component, platform_message.File):
+                file_bytes = None
+                if component.base64:
+                    b64_data = component.base64
+                    if ';base64,' in b64_data:
+                        b64_data = b64_data.split(';base64,', 1)[1]
+                    file_bytes = base64.b64decode(b64_data)
+                elif component.url:
+                    session = httpclient.get_session()
+                    async with session.get(component.url) as response:
+                        file_bytes = await response.read()
+                elif component.path:
+                    with open(component.path, 'rb') as f:
+                        file_bytes = f.read()
+                if file_bytes:
+                    file_name = getattr(component, 'name', None) or 'file'
+                    resp = await client.upload(file_bytes, content_type='application/octet-stream', filename=file_name)
+                    if isinstance(resp, nio.UploadResponse):
+                        components.append(
+                            {
+                                'type': 'file',
+                                'mxc_url': resp.content_uri,
+                                'filename': file_name,
+                                'size': len(file_bytes),
+                            }
+                        )
+            elif isinstance(component, platform_message.Forward):
+                for node in component.node_list:
+                    components.extend(await MatrixMessageConverter.yiri2target(node.message_chain, client))
+        return components
+
+    @staticmethod
+    async def target2yiri(event: nio.RoomMessageText | nio.RoomMessageImage, client: nio.AsyncClient, bot_user_id: str):
+        message_components = []
+
+        if isinstance(event, nio.RoomMessageText):
+            text = event.body
+            if bot_user_id and bot_user_id in text:
+                message_components.append(platform_message.At(target=bot_user_id))
+                text = text.replace(bot_user_id, '').strip()
+            message_components.append(platform_message.Plain(text=text))
+
+        elif isinstance(event, nio.RoomMessageImage):
+            mxc_url = event.url
+            if mxc_url:
+                resp = await client.download(mxc_url)
+                if isinstance(resp, nio.DownloadResponse):
+                    b64 = base64.b64encode(resp.body).decode('utf-8')
+                    content_type = resp.content_type or 'image/png'
+                    message_components.append(platform_message.Image(base64=f'data:{content_type};base64,{b64}'))
+            if event.body:
+                message_components.append(platform_message.Plain(text=event.body))
+
+        return platform_message.MessageChain(message_components)
+
+
+class MatrixEventConverter(abstract_platform_adapter.AbstractEventConverter):
+    @staticmethod
+    async def yiri2target(event: platform_events.MessageEvent):
+        return event.source_platform_object
+
+    @staticmethod
+    async def target2yiri(
+        event: nio.RoomMessageText | nio.RoomMessageImage,
+        room: nio.MatrixRoom,
+        client: nio.AsyncClient,
+        bot_user_id: str,
+        bridge_user_ids: list[str] | None = None,
+    ):
+        lb_message = await MatrixMessageConverter.target2yiri(event, client, bot_user_id)
+
+        # Determine if this is a direct/private chat or a group chat.
+        # Exclude bot itself and bridge bots, count remaining real users.
+        exclude_ids = {bot_user_id}
+        if bridge_user_ids:
+            exclude_ids.update(bridge_user_ids)
+        real_users = [uid for uid in room.users if uid not in exclude_ids]
+        is_direct = len(real_users) <= 1
+
+        if is_direct:
+            return platform_events.FriendMessage(
+                sender=platform_entities.Friend(
+                    id=event.sender,
+                    nickname=room.user_name(event.sender) or event.sender,
+                    remark='',
+                ),
+                message_chain=lb_message,
+                time=event.server_timestamp / 1000.0,
+                source_platform_object={'event': event, 'room': room},
+            )
+        else:
+            return platform_events.GroupMessage(
+                sender=platform_entities.GroupMember(
+                    id=event.sender,
+                    member_name=room.user_name(event.sender) or event.sender,
+                    permission=platform_entities.Permission.Member,
+                    group=platform_entities.Group(
+                        id=room.room_id,
+                        name=room.display_name or room.room_id,
+                        permission=platform_entities.Permission.Member,
+                    ),
+                    special_title='',
+                ),
+                message_chain=lb_message,
+                time=event.server_timestamp / 1000.0,
+                source_platform_object={'event': event, 'room': room},
+            )
+
+
+class BridgeState:
+    """Per-bridge runtime state."""
+
+    def __init__(self, user_id: str, login_command: str, logout_command: str, success_keyword: str, check_command: str):
+        self.user_id = user_id
+        self.login_command = login_command
+        self.logout_command = logout_command
+        self.success_keyword = success_keyword
+        self.check_command = check_command or login_command
+        self.logged_in = False
+        self.dm_room_id: str | None = None
+        self.login_task: asyncio.Task | None = None
+        self.check_task: asyncio.Task | None = None
+        self.check_responded = False
+
+
+class MatrixAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
+    client: typing.Any = None
+    message_converter: MatrixMessageConverter = MatrixMessageConverter()
+    event_converter: MatrixEventConverter = MatrixEventConverter()
+    config: dict
+    listeners: typing.Dict[typing.Type[platform_events.Event], typing.Callable] = {}
+    _running: bool = False
+    _initial_sync_done: bool = False
+    _bridges: list = []
+
+    def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
+        homeserver_url = config.get('homeserver_url', '')
+        access_token = config.get('access_token', '')
+        user_id = config.get('user_id', '')
+
+        if not homeserver_url or not access_token or not user_id:
+            raise ValueError('Matrix 机器人缺少必要配置项 (homeserver_url, user_id, access_token)')
+
+        client = nio.AsyncClient(homeserver_url, user_id)
+        client.access_token = access_token
+        client.user_id = user_id
+
+        super().__init__(
+            config=config,
+            logger=logger,
+            bot_account_id=user_id,
+            client=client,
+            listeners={},
+        )
+
+        # Parse bridges config AFTER super().__init__() to avoid Pydantic resetting _bridges
+        self._bridges = []
+        bridges_raw = config.get('bridges', '')
+        if bridges_raw:
+            if isinstance(bridges_raw, str):
+                try:
+                    bridges_list = json.loads(bridges_raw)
+                except (json.JSONDecodeError, TypeError) as e:
+                    raise ValueError(f'bridges 配置 JSON 解析失败: {e}\n原始值: {bridges_raw}')
+            else:
+                bridges_list = bridges_raw
+            for b in bridges_list:
+                if isinstance(b, dict) and b.get('user_id', '').strip():
+                    self._bridges.append(
+                        BridgeState(
+                            user_id=b['user_id'].strip(),
+                            login_command=b.get('login_command', '').strip(),
+                            logout_command=b.get('logout_command', '').strip(),
+                            success_keyword=b.get('success_keyword', 'Successfully logged in').strip(),
+                            check_command=b.get('check_command', '').strip(),
+                        )
+                    )
+        # Backward compatibility: old single-bridge config
+        if not self._bridges:
+            old_user_id = config.get('bridge_user_id', '').strip()
+            old_command = config.get('bridge_login_command', '').strip()
+            old_keyword = config.get('bridge_login_success_keyword', 'Successfully logged in').strip()
+            old_check = config.get('bridge_check_command', '').strip()
+            old_logout = config.get('bridge_logout_command', '').strip()
+            if old_user_id:
+                self._bridges.append(
+                    BridgeState(
+                        user_id=old_user_id,
+                        login_command=old_command,
+                        logout_command=old_logout,
+                        success_keyword=old_keyword,
+                        check_command=old_check,
+                    )
+                )
+
+    async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
+        components = await self.message_converter.yiri2target(message, self.client)
+        for component in components:
+            await self._send_component(target_id, component)
+
+    async def reply_message(
+        self,
+        message_source: platform_events.MessageEvent,
+        message: platform_message.MessageChain,
+        quote_origin: bool = False,
+    ):
+        source_obj = message_source.source_platform_object
+        room_id = source_obj['room'].room_id
+        components = await self.message_converter.yiri2target(message, self.client)
+
+        for component in components:
+            if quote_origin:
+                original_event = source_obj['event']
+                await self._send_component(room_id, component, reply_to=original_event.event_id)
+            else:
+                await self._send_component(room_id, component)
+
+    async def _send_component(self, room_id: str, component: dict, reply_to: str | None = None):
+        content = {}
+        if component['type'] == 'text':
+            content = {
+                'msgtype': 'm.text',
+                'body': component['text'],
+            }
+        elif component['type'] == 'image':
+            content = {
+                'msgtype': 'm.image',
+                'body': 'image.png',
+                'url': component['mxc_url'],
+            }
+        elif component['type'] == 'file':
+            content = {
+                'msgtype': 'm.file',
+                'body': component.get('filename', 'file'),
+                'url': component['mxc_url'],
+                'info': {'size': component.get('size', 0)},
+            }
+
+        if reply_to and content:
+            content['m.relates_to'] = {
+                'm.in_reply_to': {'event_id': reply_to},
+            }
+
+        if content:
+            await self.client.room_send(
+                room_id=room_id,
+                message_type='m.room.message',
+                content=content,
+            )
+
+    def register_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[
+            [platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
+        ],
+    ):
+        self.listeners[event_type] = callback
+
+    async def run_async(self):
+        self._running = True
+        await self.logger.info('Matrix adapter starting...')
+
+        # Debug: log bridge parsing result
+        bridges_raw = self.config.get('bridges', '')
+        await self.logger.debug(f'bridges config raw: type={type(bridges_raw).__name__}, repr={repr(bridges_raw)}')
+        await self.logger.debug(
+            f'parsed _bridges count: {len(self._bridges)}, ids: {[b.user_id for b in self._bridges]}'
+        )
+
+        # Collect all bridge bot user IDs for filtering
+        _bridge_user_ids = [b.user_id for b in self._bridges]
+        _bridge_user_id_set = set(_bridge_user_ids)
+
+        # Auto-join invited rooms
+        async def on_invite(room: nio.MatrixRoom, event: nio.InviteMemberEvent):
+            if event.membership == 'invite' and event.state_key == self.client.user_id:
+                await self.client.join(room.room_id)
+                await self.logger.debug(f'Auto-joined room: {room.display_name or room.room_id}')
+
+        self.client.add_event_callback(on_invite, nio.InviteMemberEvent)
+
+        # Handle text messages
+        async def on_message(room: nio.MatrixRoom, event: nio.RoomMessageText):
+            if not self._initial_sync_done:
+                return
+            if event.sender == self.client.user_id:
+                return
+
+            # Admin commands (from any non-bridge user)
+            if event.sender not in _bridge_user_id_set:
+                body = (event.body or '').strip()
+                if body == '!relogin':
+                    await self._handle_relogin_command(room.room_id)
+                    return
+                if body == '!status':
+                    await self._handle_status_command(room.room_id)
+                    return
+
+            if event.sender in _bridge_user_id_set:
+                return
+            try:
+                lb_event = await self.event_converter.target2yiri(
+                    event, room, self.client, self.bot_account_id, _bridge_user_ids
+                )
+                if type(lb_event) in self.listeners:
+                    result = self.listeners[type(lb_event)](lb_event, self)
+                    if asyncio.iscoroutine(result):
+                        await result
+            except Exception:
+                await self.logger.error(f'Error handling Matrix message: {traceback.format_exc()}')
+
+        self.client.add_event_callback(on_message, nio.RoomMessageText)
+
+        # Handle image messages
+        async def on_image(room: nio.MatrixRoom, event: nio.RoomMessageImage):
+            if not self._initial_sync_done:
+                return
+            if event.sender == self.client.user_id:
+                return
+            if event.sender in _bridge_user_id_set:
+                return
+            try:
+                lb_event = await self.event_converter.target2yiri(
+                    event, room, self.client, self.bot_account_id, _bridge_user_ids
+                )
+                if type(lb_event) in self.listeners:
+                    result = self.listeners[type(lb_event)](lb_event, self)
+                    if asyncio.iscoroutine(result):
+                        await result
+            except Exception:
+                await self.logger.error(f'Error handling Matrix image: {traceback.format_exc()}')
+
+        self.client.add_event_callback(on_image, nio.RoomMessageImage)
+
+        # Set up bridge-specific callbacks for each bridge
+        _disconnect_keywords = ['disconnected', 'logged out', 'connection lost', 'session expired', 'token expired']
+
+        for bridge in self._bridges:
+            # Login success detection (notice)
+            async def on_bridge_notice(room: nio.MatrixRoom, event: nio.RoomMessageNotice, _b=bridge):
+                if not self._initial_sync_done:
+                    return
+                if event.sender != _b.user_id:
+                    return
+                _b.check_responded = True
+                if _b.success_keyword in (event.body or ''):
+                    _b.logged_in = True
+                    await self.logger.info(f'[{_b.user_id}] Bridge login succeeded.')
+                # Disconnect detection
+                body_lower = (event.body or '').lower()
+                for kw in _disconnect_keywords:
+                    if kw in body_lower and _b.logged_in:
+                        _b.logged_in = False
+                        await self.logger.info(f'[{_b.user_id}] Bridge 账号掉线 (检测到: "{kw}"), 将自动重新登录...')
+                        self._restart_bridge_login(_b)
+                        break
+
+            self.client.add_event_callback(on_bridge_notice, nio.RoomMessageNotice)
+
+            # Login success + disconnect detection (text)
+            async def on_bridge_text(room: nio.MatrixRoom, event: nio.RoomMessageText, _b=bridge):
+                if not self._initial_sync_done:
+                    return
+                if event.sender != _b.user_id:
+                    return
+                _b.check_responded = True
+                if _b.success_keyword in (event.body or ''):
+                    _b.logged_in = True
+                    await self.logger.info(f'[{_b.user_id}] Bridge login succeeded.')
+                body_lower = (event.body or '').lower()
+                for kw in _disconnect_keywords:
+                    if kw in body_lower and _b.logged_in:
+                        _b.logged_in = False
+                        await self.logger.info(f'[{_b.user_id}] Bridge 账号掉线 (检测到: "{kw}"), 将自动重新登录...')
+                        self._restart_bridge_login(_b)
+                        break
+
+            self.client.add_event_callback(on_bridge_text, nio.RoomMessageText)
+
+            # QR code image forwarding
+            async def on_bridge_image(room: nio.MatrixRoom, event: nio.RoomMessageImage, _b=bridge):
+                if not self._initial_sync_done:
+                    return
+                if event.sender != _b.user_id:
+                    return
+                mxc_url = event.url
+                if not mxc_url:
+                    return
+                try:
+                    resp = await self.client.download(mxc_url)
+                    if isinstance(resp, nio.DownloadResponse):
+                        b64 = base64.b64encode(resp.body).decode('utf-8')
+                        content_type = resp.content_type or 'image/png'
+                        await self.logger.info(
+                            f'[{_b.user_id}] Bridge 发送了二维码，请扫码登录:',
+                            images=[platform_message.Image(base64=f'data:{content_type};base64,{b64}')],
+                        )
+                except Exception:
+                    await self.logger.error(
+                        f'[{_b.user_id}] Failed to download bridge QR image: {traceback.format_exc()}'
+                    )
+
+            self.client.add_event_callback(on_bridge_image, nio.RoomMessageImage)
+
+        await self.logger.debug('Matrix adapter running, starting sync...')
+
+        # Initial sync to skip old messages
+        resp = await self.client.sync(timeout=10000)
+        if isinstance(resp, nio.SyncResponse):
+            await self.logger.debug(f'Matrix initial sync done, next_batch: {resp.next_batch}')
+        self._initial_sync_done = True
+
+        # Display account info
+        display_name = self.client.user_id
+        try:
+            profile_resp = await self.client.get_displayname(self.client.user_id)
+            if isinstance(profile_resp, nio.ProfileGetDisplayNameResponse) and profile_resp.displayname:
+                display_name = profile_resp.displayname
+        except Exception:
+            pass
+        joined_rooms = len(self.client.rooms)
+        homeserver = self.config.get('homeserver_url', '')
+        bridge_info = ''
+        if self._bridges:
+            bridge_names = ', '.join(b.user_id for b in self._bridges)
+            bridge_info = f' | 桥接: [{bridge_names}]'
+        await self.logger.info(
+            f'Matrix 账号: {display_name} ({self.client.user_id}) | '
+            f'服务器: {homeserver} | 已加入 {joined_rooms} 个房间{bridge_info}'
+        )
+
+        # Start bridge login and status check tasks for each bridge
+        for bridge in self._bridges:
+            if bridge.login_command:
+                await self.logger.info(
+                    f'[{bridge.user_id}] Bridge login enabled (命令: "{bridge.login_command}", '
+                    f'关键词: "{bridge.success_keyword}")'
+                )
+                bridge.login_task = asyncio.create_task(self._periodic_bridge_login(bridge))
+                bridge.check_task = asyncio.create_task(self._periodic_bridge_check(bridge))
+            else:
+                await self.logger.debug(f'[{bridge.user_id}] Bridge login not configured (no login_command)')
+
+        # Main sync loop
+        while self._running:
+            try:
+                await self.client.sync(timeout=30000)
+            except Exception:
+                await self.logger.error(f'Matrix sync error: {traceback.format_exc()}')
+                await asyncio.sleep(5)
+
+    async def _periodic_bridge_login(self, bridge: BridgeState):
+        """Periodically send login command to a bridge bot until login succeeds."""
+        try:
+            await self.logger.info(f'[{bridge.user_id}] Bridge login task started, looking for DM room...')
+            dm_room_id = None
+            for room_id, room in self.client.rooms.items():
+                if room.member_count == 2 and bridge.user_id in [m for m in room.users]:
+                    dm_room_id = room_id
+                    break
+
+            if not dm_room_id:
+                resp = await self.client.room_create(
+                    is_direct=True,
+                    invite=[bridge.user_id],
+                )
+                if isinstance(resp, nio.RoomCreateResponse):
+                    dm_room_id = resp.room_id
+                    await self.logger.debug(f'[{bridge.user_id}] Created DM room: {dm_room_id}')
+                else:
+                    await self.logger.error(f'[{bridge.user_id}] Failed to create DM room: {resp}')
+                    return
+
+            bridge.dm_room_id = dm_room_id
+
+            # Force logout first on every adapter start
+            logout_cmd = bridge.logout_command or bridge.login_command.replace('login', 'logout')
+            await self.logger.info(f'[{bridge.user_id}] 强制登出: "{logout_cmd}"')
+            await self.client.room_send(
+                room_id=dm_room_id,
+                message_type='m.room.message',
+                content={'msgtype': 'm.text', 'body': logout_cmd},
+            )
+            await asyncio.sleep(3)
+
+            while self._running and not bridge.logged_in:
+                await self.logger.debug(f'[{bridge.user_id}] Sending "{bridge.login_command}" in room {dm_room_id}')
+                await self.client.room_send(
+                    room_id=dm_room_id,
+                    message_type='m.room.message',
+                    content={'msgtype': 'm.text', 'body': bridge.login_command},
+                )
+                for _ in range(60):
+                    if not self._running or bridge.logged_in:
+                        break
+                    await asyncio.sleep(1)
+
+            if bridge.logged_in:
+                await self.logger.debug(f'[{bridge.user_id}] Bridge login confirmed, periodic login stopped.')
+        except asyncio.CancelledError:
+            pass
+        except Exception:
+            await self.logger.error(f'[{bridge.user_id}] Bridge periodic login error: {traceback.format_exc()}')
+
+    def _restart_bridge_login(self, bridge: BridgeState):
+        """Cancel existing login task and start a new one."""
+        if bridge.login_task and not bridge.login_task.done():
+            bridge.login_task.cancel()
+        bridge.login_task = asyncio.create_task(self._periodic_bridge_login(bridge))
+
+    async def _periodic_bridge_check(self, bridge: BridgeState):
+        """Periodically check a bridge's login status."""
+        try:
+            while self._running and not bridge.logged_in:
+                await asyncio.sleep(5)
+
+            check_interval = 300  # 5 minutes
+            response_timeout = 30
+            await self.logger.debug(f'[{bridge.user_id}] Bridge status check started (interval: {check_interval}s)')
+
+            while self._running:
+                for _ in range(check_interval):
+                    if not self._running:
+                        return
+                    await asyncio.sleep(1)
+
+                if not bridge.logged_in or not bridge.dm_room_id:
+                    continue
+
+                try:
+                    bridge.check_responded = False
+                    await self.client.room_send(
+                        room_id=bridge.dm_room_id,
+                        message_type='m.room.message',
+                        content={'msgtype': 'm.text', 'body': bridge.check_command},
+                    )
+                    await self.logger.debug(f'[{bridge.user_id}] Bridge status check: sent "{bridge.check_command}"')
+
+                    for _ in range(response_timeout):
+                        if bridge.check_responded or not self._running:
+                            break
+                        await asyncio.sleep(1)
+
+                    if bridge.check_responded:
+                        await self.logger.debug(f'[{bridge.user_id}] Bridge status check: OK')
+                    else:
+                        await self.logger.info(
+                            f'[{bridge.user_id}] Bridge status check: 无响应, 可能已掉线, 尝试重新登录...'
+                        )
+                        bridge.logged_in = False
+                        self._restart_bridge_login(bridge)
+                except Exception:
+                    await self.logger.error(f'[{bridge.user_id}] Bridge status check error: {traceback.format_exc()}')
+        except asyncio.CancelledError:
+            pass
+        except Exception:
+            await self.logger.error(f'[{bridge.user_id}] Bridge status check fatal error: {traceback.format_exc()}')
+
+    async def _handle_relogin_command(self, room_id: str):
+        """Handle !relogin command: logout then re-login all bridges."""
+        if not self._bridges:
+            await self.client.room_send(
+                room_id=room_id,
+                message_type='m.room.message',
+                content={'msgtype': 'm.text', 'body': '没有配置任何桥。'},
+            )
+            return
+
+        lines = ['开始重新登录所有桥...']
+        for bridge in self._bridges:
+            if not bridge.login_command or not bridge.dm_room_id:
+                lines.append(f'[{bridge.user_id}] 跳过（未配置登录命令或无DM房间）')
+                continue
+
+                # Use configured logout command, fallback to deriving from login command
+                logout_cmd = bridge.logout_command or bridge.login_command.replace('login', 'logout')
+            lines.append(f'[{bridge.user_id}] 发送 "{logout_cmd}"...')
+
+            # Cancel existing tasks
+            if bridge.login_task and not bridge.login_task.done():
+                bridge.login_task.cancel()
+            if bridge.check_task and not bridge.check_task.done():
+                bridge.check_task.cancel()
+
+            # Send logout
+            try:
+                await self.client.room_send(
+                    room_id=bridge.dm_room_id,
+                    message_type='m.room.message',
+                    content={'msgtype': 'm.text', 'body': logout_cmd},
+                )
+            except Exception as e:
+                lines.append(f'[{bridge.user_id}] logout 发送失败: {e}')
+
+            await asyncio.sleep(2)
+
+            # Reset state and restart login
+            bridge.logged_in = False
+            self._restart_bridge_login(bridge)
+            lines.append(f'[{bridge.user_id}] 已触发重新登录')
+
+        await self.client.room_send(
+            room_id=room_id,
+            message_type='m.room.message',
+            content={'msgtype': 'm.text', 'body': '\n'.join(lines)},
+        )
+
+    async def _handle_status_command(self, room_id: str):
+        """Handle !status command: show bridge states."""
+        if not self._bridges:
+            await self.client.room_send(
+                room_id=room_id,
+                message_type='m.room.message',
+                content={'msgtype': 'm.text', 'body': '没有配置任何桥。'},
+            )
+            return
+
+        lines = ['桥状态:']
+        for bridge in self._bridges:
+            status = '已登录 ✓' if bridge.logged_in else '未登录 ✗'
+            dm = bridge.dm_room_id or '无'
+            lines.append(f'• {bridge.user_id}: {status} (DM: {dm})')
+        await self.client.room_send(
+            room_id=room_id,
+            message_type='m.room.message',
+            content={'msgtype': 'm.text', 'body': '\n'.join(lines)},
+        )
+
+    async def kill(self) -> bool:
+        self._running = False
+        for bridge in self._bridges:
+            if bridge.login_task and not bridge.login_task.done():
+                bridge.login_task.cancel()
+            if bridge.check_task and not bridge.check_task.done():
+                bridge.check_task.cancel()
+        if self.client:
+            await self.client.close()
+        await self.logger.debug('Matrix adapter stopped')
+        return True
+
+    async def unregister_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[
+            [platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
+        ],
+    ):
+        if event_type in self.listeners:
+            del self.listeners[event_type]

src/langbot/pkg/platform/sources/matrix.yaml

@@ -0,0 +1,123 @@
+apiVersion: v1
+kind: MessagePlatformAdapter
+metadata:
+  name: matrix
+  label:
+    en_US: Matrix
+    zh_Hans: Matrix
+    zh_Hant: Matrix
+    ja_JP: Matrix
+    th_TH: Matrix
+    vi_VN: Matrix
+    es_ES: Matrix
+  description:
+    en_US: Matrix protocol adapter, supports self-hosted Synapse servers and any Matrix-compatible homeserver
+    zh_Hans: Matrix 协议适配器，支持自建 Synapse 服务器及任何 Matrix 兼容的 Homeserver
+    zh_Hant: Matrix 協議適配器，支持自建 Synapse 伺服器及任何 Matrix 相容的 Homeserver
+    ja_JP: Matrix プロトコルアダプター、セルフホストの Synapse サーバーおよび Matrix 互換のホームサーバーをサポート
+    th_TH: อะแดปเตอร์โปรโตคอล Matrix รองรับเซิร์ฟเวอร์ Synapse ที่โฮสต์เองและ Homeserver ที่เข้ากันได้กับ Matrix
+    vi_VN: Bộ điều hợp giao thức Matrix, hỗ trợ máy chủ Synapse tự lưu trữ và bất kỳ Homeserver tương thích Matrix nào
+    es_ES: Adaptador del protocolo Matrix, compatible con servidores Synapse autoalojados y cualquier Homeserver compatible con Matrix
+  icon: matrix.png
+spec:
+  categories:
+    - global
+    - protocol
+  config:
+    - name: homeserver_url
+      label:
+        en_US: Homeserver URL
+        zh_Hans: Homeserver 地址
+        zh_Hant: Homeserver 地址
+        ja_JP: Homeserver URL
+        th_TH: URL ของ Homeserver
+        vi_VN: URL Homeserver
+        es_ES: URL del Homeserver
+      description:
+        en_US: "The URL of the Matrix homeserver, e.g. http://localhost:8008"
+        zh_Hans: "Matrix Homeserver 的地址，例如 http://localhost:8008"
+      type: string
+      required: true
+      default: "http://localhost:8008"
+    - name: user_id
+      label:
+        en_US: Bot User ID
+        zh_Hans: 机器人用户 ID
+        zh_Hant: 機器人用戶 ID
+        ja_JP: ボットユーザー ID
+        th_TH: ID ผู้ใช้บอท
+        vi_VN: ID người dùng bot
+        es_ES: ID de usuario del bot
+      description:
+        en_US: "The full Matrix user ID, e.g. @bot:localhost"
+        zh_Hans: "完整的 Matrix 用户 ID，例如 @bot:localhost"
+      type: string
+      required: true
+      default: "@langbot:localhost"
+    - name: access_token
+      label:
+        en_US: Access Token
+        zh_Hans: 访问令牌
+        zh_Hant: 訪問令牌
+        ja_JP: アクセストークン
+        th_TH: โทเค็นการเข้าถึง
+        vi_VN: Mã truy cập
+        es_ES: Token de acceso
+      description:
+        en_US: "Access token obtained by logging in via the Matrix client API"
+        zh_Hans: "通过 Matrix Client API 登录获取的访问令牌"
+      type: string
+      required: true
+      default: ""
+    - name: bridge_user_id
+      label:
+        en_US: Bridge Bot User ID (single bridge, legacy)
+        zh_Hans: 桥机器人用户 ID（单桥兼容）
+      description:
+        en_US: "Single bridge bot user ID (legacy). Prefer 'bridges' for multi-bridge. e.g. @discordbot:localhost"
+        zh_Hans: "单桥机器人用户 ID（旧格式兼容）。推荐使用 bridges 配置多桥。例如 @discordbot:localhost"
+      type: string
+      required: false
+      default: ""
+    - name: bridge_login_command
+      label:
+        en_US: Bridge Login Command (single bridge, legacy)
+        zh_Hans: 桥登录命令（单桥兼容）
+      description:
+        en_US: "Login command for single bridge (legacy). e.g. !discord login"
+        zh_Hans: "单桥登录命令（旧格式兼容）。例如 !discord login"
+      type: string
+      required: false
+      default: ""
+    - name: bridge_login_success_keyword
+      label:
+        en_US: Bridge Login Success Keyword (single bridge, legacy)
+        zh_Hans: 桥登录成功关键词（单桥兼容）
+      description:
+        en_US: "Success keyword for single bridge (legacy). e.g. Successfully logged in"
+        zh_Hans: "单桥登录成功关键词（旧格式兼容）。例如 Successfully logged in"
+      type: string
+      required: false
+      default: "Successfully logged in"
+    - name: bridges
+      label:
+        en_US: Bridges Config (Multi-bridge)
+        zh_Hans: 桥配置（多桥）
+      description:
+        en_US: >
+          JSON array of bridge configs. Each bridge: {"user_id": "@bot:host", "login_command": "!xx login",
+          "success_keyword": "logged in", "check_command": "!xx ping"}.
+          Example: [{"user_id":"@discordbot:localhost","login_command":"!discord login","success_keyword":"logged in"},
+          {"user_id":"@telegrambot:localhost","login_command":"!tg login","success_keyword":"logged in"}]
+        zh_Hans: >
+          JSON 数组格式的多桥配置。每个桥: {"user_id": "@bot:host", "login_command": "!xx login",
+          "success_keyword": "logged in", "check_command": "!xx ping"}。
+          示例: [{"user_id":"@discordbot:localhost","login_command":"!discord login","success_keyword":"logged in"},
+          {"user_id":"@telegrambot:localhost","login_command":"!tg login","success_keyword":"logged in"}]
+      type: string
+      required: false
+      default: ""
+execution:
+  python:
+    path: ./matrix.py
+    attr: MatrixAdapter

src/langbot/pkg/platform/sources/officialaccount.yaml

@@ -5,23 +5,44 @@ metadata:
   label:
     en_US: Official Account
     zh_Hans: 微信公众号
+    zh_Hant: 微信公眾號
   description:
     en_US: Official Account Adapter
-    zh_Hans: 微信公众号适配器，请查看文档了解使用方式
+    zh_Hans: 微信公众号适配器，需要公网地址以接收消息推送，请查看文档了解使用方式
+    zh_Hant: 微信公眾號適配器，需要公網地址以接收訊息推送，請查看文件了解使用方式
   icon: officialaccount.png
 spec:
+  categories:
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/officialaccount
+    en: https://link.langbot.app/en/platforms/officialaccount
+    ja: https://link.langbot.app/ja/platforms/officialaccount
   config:
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        zh_Hant: Webhook 回調地址
+      description:
+        en_US: Copy this URL and paste it into your Official Account webhook configuration
+        zh_Hans: 复制此地址并粘贴到微信公众号的 Webhook 配置中
+        zh_Hant: 複製此地址並貼到微信公眾號的 Webhook 設定中
+      type: webhook-url
+      required: false
+      default: ""
     - name: token
       label:
         en_US: Token
         zh_Hans: 令牌
-      type: string
+        zh_Hant: 令牌
       required: true
       default: ""
     - name: EncodingAESKey
       label:
         en_US: EncodingAESKey
         zh_Hans: 消息加解密密钥
+        zh_Hant: 訊息加解密密鑰
       type: string
       required: true
       default: ""
@@ -29,6 +50,7 @@ spec:
       label:
         en_US: App ID
         zh_Hans: 应用ID
+        zh_Hant: 應用ID
       type: string
       required: true
       default: ""
@@ -36,6 +58,7 @@ spec:
       label:
         en_US: App Secret
         zh_Hans: 应用密钥
+        zh_Hant: 應用密鑰
       type: string
       required: true
       default: ""
@@ -43,6 +66,7 @@ spec:
       label:
         en_US: Mode
         zh_Hans: 接入模式
+        zh_Hant: 接入模式
       type: string
       required: true
       default: "drop"
@@ -50,6 +74,7 @@ spec:
       label:
         en_US: Loading Message
         zh_Hans: 加载消息
+        zh_Hant: 載入訊息
       type: string
       required: true
       default: "AI正在思考中，请发送任意内容获取回复。"
@@ -57,9 +82,11 @@ spec:
       label:
         en_US: API Base URL
         zh_Hans: API 基础 URL
+        zh_Hant: API 基礎 URL
       description:
         en_US: API Base URL, used for accessing the Official Account API. If you are deploying in an internal network environment and accessing the Official Account API through a reverse proxy, please fill in this item according to the documentation.
         zh_Hans: 可选，若您部署在内网环境并通过反向代理访问微信公众号 API，可根据文档修改此项
+        zh_Hant: 可選，若您部署在內網環境並透過反向代理存取微信公眾號 API，可根據文件修改此項
       type: string
       required: false
       default: "https://api.weixin.qq.com"

src/langbot/pkg/platform/sources/openclaw_weixin.py

@@ -0,0 +1,577 @@
+"""OpenClaw WeChat adapter for LangBot.
+
+Uses the OpenClaw WeChat HTTP JSON API (long-poll getUpdates + sendMessage)
+to integrate personal WeChat accounts with LangBot.
+
+Reference: https://github.com/epiral/weixin-bot
+"""
+
+from __future__ import annotations
+
+import asyncio
+import base64
+import traceback
+import typing
+
+import pydantic
+import sqlalchemy
+
+from langbot.libs.openclaw_weixin_api.client import (
+    DEFAULT_BASE_URL,
+    SESSION_EXPIRED_ERRCODE,
+    OpenClawWeixinClient,
+)
+from langbot.libs.openclaw_weixin_api.types import (
+    MessageItem,
+    WeixinMessage,
+)
+from langbot.pkg.entity.persistence import bot as persistence_bot
+
+import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
+import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
+import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
+import langbot_plugin.api.entities.builtin.platform.events as platform_events
+import langbot_plugin.api.entities.builtin.platform.message as platform_message
+
+
+class OpenClawWeixinMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
+    """Converts between LangBot MessageChain and OpenClaw WeChat message items."""
+
+    @staticmethod
+    async def yiri2target(message_chain: platform_message.MessageChain) -> list[dict]:
+        """Convert LangBot MessageChain to a list of OpenClaw message item dicts."""
+        items = []
+        for component in message_chain:
+            if isinstance(component, platform_message.Plain):
+                items.append({'type': MessageItem.TEXT, 'text_item': {'text': component.text}})
+            elif isinstance(component, platform_message.Image):
+                # OpenClaw WeChat only supports text messages without CDN upload.
+                # For images, we send a placeholder text with the URL if available.
+                if component.url:
+                    items.append(
+                        {
+                            'type': MessageItem.TEXT,
+                            'text_item': {'text': f'[Image: {component.url}]'},
+                        }
+                    )
+                elif component.base64:
+                    items.append(
+                        {
+                            'type': MessageItem.TEXT,
+                            'text_item': {'text': '[Image]'},
+                        }
+                    )
+            elif isinstance(component, platform_message.File):
+                if component.name:
+                    items.append(
+                        {
+                            'type': MessageItem.TEXT,
+                            'text_item': {'text': f'[File: {component.name}]'},
+                        }
+                    )
+            elif isinstance(component, platform_message.Forward):
+                for node in component.node_list:
+                    if node.message_chain:
+                        items.extend(await OpenClawWeixinMessageConverter.yiri2target(node.message_chain))
+        return items
+
+    @staticmethod
+    async def target2yiri(
+        msg: WeixinMessage,
+    ) -> platform_message.MessageChain:
+        """Convert an OpenClaw WeixinMessage to LangBot MessageChain."""
+        components: list[platform_message.MessageComponent] = []
+
+        if not msg.item_list:
+            return platform_message.MessageChain(components)
+
+        for item in msg.item_list:
+            if item.type == MessageItem.TEXT and item.text_item and item.text_item.text:
+                text = item.text_item.text
+
+                # Handle quoted messages
+                if item.ref_msg:
+                    ref_parts = []
+                    if item.ref_msg.title:
+                        ref_parts.append(item.ref_msg.title)
+                    if item.ref_msg.message_item:
+                        ref_item = item.ref_msg.message_item
+                        if ref_item.text_item and ref_item.text_item.text:
+                            ref_parts.append(ref_item.text_item.text)
+                    if ref_parts:
+                        components.append(
+                            platform_message.Quote(
+                                sender_id='',
+                                origin=platform_message.MessageChain(
+                                    [platform_message.Plain(text=' | '.join(ref_parts))]
+                                ),
+                            )
+                        )
+
+                components.append(platform_message.Plain(text=text))
+
+            elif item.type == MessageItem.IMAGE and item.image_item:
+                if hasattr(item.image_item, '_downloaded_bytes') and item.image_item._downloaded_bytes:
+                    b64 = base64.b64encode(item.image_item._downloaded_bytes).decode('utf-8')
+                    components.append(platform_message.Image(base64=f'data:image/jpeg;base64,{b64}'))
+                else:
+                    components.append(platform_message.Unknown(text='[Image]'))
+
+            elif item.type == MessageItem.VOICE and item.voice_item:
+                # Voice with speech-to-text: use the transcribed text
+                if item.voice_item.text:
+                    components.append(platform_message.Plain(text=item.voice_item.text))
+                else:
+                    components.append(platform_message.Unknown(text='[Voice]'))
+
+            # TODO: enable after full testing
+            # elif item.type == MessageItem.VOICE and item.voice_item:
+            #     if item.voice_item.text:
+            #         components.append(platform_message.Plain(text=item.voice_item.text))
+            #     elif hasattr(item.voice_item, '_downloaded_bytes') and item.voice_item._downloaded_bytes:
+            #         b64 = base64.b64encode(item.voice_item._downloaded_bytes).decode('utf-8')
+            #         components.append(
+            #             platform_message.Voice(
+            #                 base64=b64,
+            #                 length=item.voice_item.playtime or 0,
+            #             )
+            #         )
+            #     else:
+            #         components.append(
+            #             platform_message.Voice(
+            #                 length=item.voice_item.playtime or 0,
+            #             )
+            #         )
+
+            elif item.type == MessageItem.FILE and item.file_item:
+                components.append(platform_message.Unknown(text=f'[File: {item.file_item.file_name or ""}]'))
+
+            # TODO: enable after full testing
+            # elif item.type == MessageItem.FILE and item.file_item:
+            #     file_name = item.file_item.file_name or ''
+            #     file_size = int(item.file_item.len) if item.file_item.len else 0
+            #     if hasattr(item.file_item, '_downloaded_bytes') and item.file_item._downloaded_bytes:
+            #         b64 = base64.b64encode(item.file_item._downloaded_bytes).decode('utf-8')
+            #         components.append(
+            #             platform_message.File(
+            #                 name=file_name,
+            #                 size=file_size,
+            #                 base64=b64,
+            #             )
+            #         )
+            #     else:
+            #         components.append(
+            #             platform_message.File(
+            #                 name=file_name,
+            #                 size=file_size,
+            #             )
+            #         )
+
+            elif item.type == MessageItem.VIDEO and item.video_item:
+                components.append(platform_message.Unknown(text='[Video]'))
+
+            # TODO: enable after full testing
+            # elif item.type == MessageItem.VIDEO and item.video_item:
+            #     if hasattr(item.video_item, '_downloaded_bytes') and item.video_item._downloaded_bytes:
+            #         b64 = base64.b64encode(item.video_item._downloaded_bytes).decode('utf-8')
+            #         components.append(
+            #             platform_message.File(
+            #                 name='video.mp4',
+            #                 size=item.video_item.video_size or 0,
+            #                 base64=b64,
+            #             )
+            #         )
+            #     else:
+            #         components.append(
+            #             platform_message.File(
+            #                 name='video.mp4',
+            #                 size=item.video_item.video_size or 0,
+            #             )
+            #         )
+
+            else:
+                components.append(platform_message.Unknown(text='[Unknown message type]'))
+
+        return platform_message.MessageChain(components)
+
+
+class OpenClawWeixinEventConverter(abstract_platform_adapter.AbstractEventConverter):
+    """Converts OpenClaw WeChat messages to LangBot events."""
+
+    @staticmethod
+    async def yiri2target(event: platform_events.MessageEvent) -> dict:
+        return event.source_platform_object
+
+    @staticmethod
+    async def target2yiri(msg: WeixinMessage) -> typing.Optional[platform_events.MessageEvent]:
+        """Convert an inbound WeixinMessage to a LangBot event."""
+        if msg.message_type != WeixinMessage.TYPE_USER:
+            return None
+
+        from_user_id = msg.from_user_id or ''
+        if not from_user_id:
+            return None
+
+        message_chain = await OpenClawWeixinMessageConverter.target2yiri(msg)
+        if not message_chain:
+            return None
+
+        timestamp = (msg.create_time_ms or 0) / 1000.0
+
+        return platform_events.FriendMessage(
+            sender=platform_entities.Friend(
+                id=from_user_id,
+                nickname=from_user_id,
+                remark='',
+            ),
+            message_chain=message_chain,
+            time=timestamp,
+            source_platform_object=msg,
+        )
+
+
+class OpenClawWeixinAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
+    """LangBot adapter for OpenClaw WeChat (long-poll based)."""
+
+    name: str = 'openclaw-weixin'
+
+    client: OpenClawWeixinClient = pydantic.Field(exclude=True)
+
+    config: dict
+
+    message_converter: OpenClawWeixinMessageConverter = OpenClawWeixinMessageConverter()
+    event_converter: OpenClawWeixinEventConverter = OpenClawWeixinEventConverter()
+
+    # context_token cache: from_user_id -> context_token
+    _context_tokens: dict[str, str] = pydantic.PrivateAttr(default_factory=dict)
+
+    _polling: bool = pydantic.PrivateAttr(default=False)
+    _poll_task: typing.Optional[asyncio.Task] = pydantic.PrivateAttr(default=None)
+    _bot_uuid: typing.Optional[str] = pydantic.PrivateAttr(default=None)
+
+    listeners: typing.Dict[
+        typing.Type[platform_events.Event],
+        typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
+    ] = {}
+
+    def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
+        client = OpenClawWeixinClient(
+            base_url=config.get('base_url', DEFAULT_BASE_URL),
+            token=config.get('token', ''),
+        )
+        super().__init__(
+            config=config,
+            logger=logger,
+            client=client,
+            bot_account_id='',
+            listeners={},
+            name='openclaw-weixin',
+        )
+
+    def set_bot_uuid(self, bot_uuid: str):
+        """Called by BotManager to provide the bot's UUID for config persistence."""
+        self._bot_uuid = bot_uuid
+
+    async def _persist_config(self) -> None:
+        """Persist current self.config to the database so token survives restart."""
+        if not self._bot_uuid:
+            return
+        try:
+            ap = self.logger.ap
+            await ap.persistence_mgr.execute_async(
+                sqlalchemy.update(persistence_bot.Bot)
+                .where(persistence_bot.Bot.uuid == self._bot_uuid)
+                .values(adapter_config=self.config)
+            )
+        except Exception as e:
+            await self.logger.warning(f'Failed to persist adapter config: {e}')
+
+    async def _do_login(self) -> None:
+        """Run the QR code login flow via client.login() and update config."""
+        adapter_logger = self.logger
+
+        async def _on_qrcode(qr_base64: str, _qr_url: str):
+            await adapter_logger.info(
+                f'Please scan the QR code to login WeChat: {_qr_url}',
+                images=[platform_message.Image(base64=qr_base64)],
+            )
+
+        login_result = await self.client.login(
+            on_qrcode=_on_qrcode,
+        )
+
+        # client.login() already updates client.token and client.base_url
+        self.config['token'] = login_result.token
+        self.config['base_url'] = login_result.base_url
+        if login_result.account_id:
+            self.config['account_id'] = login_result.account_id
+
+        await self.logger.info(f'WeChat login successful! account_id={login_result.account_id}')
+
+        # Persist token to database so it survives restart
+        await self._persist_config()
+
+    async def send_message(
+        self,
+        target_type: str,
+        target_id: str,
+        message: platform_message.MessageChain,
+    ):
+        """Send a message to a user."""
+        context_token = self._context_tokens.get(target_id, '')
+
+        for component in message:
+            try:
+                if isinstance(component, platform_message.Plain):
+                    if component.text:
+                        await self.client.send_text(target_id, component.text, context_token)
+
+                elif isinstance(component, platform_message.Image):
+                    img_bytes, _ = await component.get_bytes()
+                    await self.client.send_image(target_id, img_bytes, context_token)
+
+                elif isinstance(component, platform_message.File):
+                    file_bytes = await self._get_component_bytes(component)
+                    if file_bytes:
+                        await self.client.send_file(target_id, file_bytes, component.name or 'file', context_token)
+
+                elif isinstance(component, platform_message.Voice):
+                    voice_bytes = await self._get_component_bytes(component)
+                    if voice_bytes:
+                        await self.client.send_voice(target_id, voice_bytes, component.length or 0, context_token)
+
+                elif isinstance(component, platform_message.Forward):
+                    for node in component.node_list:
+                        if node.message_chain:
+                            await self.send_message(target_type, target_id, node.message_chain)
+
+            except Exception:
+                await self.logger.error(
+                    f'Failed to send component {type(component).__name__}: {traceback.format_exc()}'
+                )
+
+    async def reply_message(
+        self,
+        message_source: platform_events.MessageEvent,
+        message: platform_message.MessageChain,
+        quote_origin: bool = False,
+    ):
+        """Reply to a received message."""
+        source_msg = message_source.source_platform_object
+        if isinstance(source_msg, WeixinMessage):
+            target_id = source_msg.from_user_id or ''
+            if target_id:
+                await self.send_message('friend', target_id, message)
+
+    async def is_muted(self, group_id: int) -> bool:
+        return False
+
+    @staticmethod
+    async def _get_component_bytes(component: platform_message.MessageComponent) -> typing.Optional[bytes]:
+        """Extract raw bytes from a File or Voice component."""
+        b64_val = getattr(component, 'base64', None)
+        url_val = getattr(component, 'url', None)
+        path_val = getattr(component, 'path', None)
+
+        if b64_val:
+            return base64.b64decode(b64_val)
+        elif url_val and url_val.startswith(('http://', 'https://')):
+            import aiohttp
+
+            async with aiohttp.ClientSession() as session:
+                async with session.get(url_val) as resp:
+                    if resp.status == 200:
+                        return await resp.read()
+        elif path_val:
+            import asyncio
+
+            with open(path_val, 'rb') as f:
+                return await asyncio.to_thread(f.read)
+        return None
+
+    def register_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[
+            [platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter],
+            None,
+        ],
+    ):
+        self.listeners[event_type] = callback
+
+    def unregister_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[
+            [platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter],
+            None,
+        ],
+    ):
+        self.listeners.pop(event_type, None)
+
+    async def run_async(self):
+        """Start the adapter. If no token is configured, trigger QR code login first."""
+        base_url = self.config.get('base_url', DEFAULT_BASE_URL)
+        token = self.config.get('token', '')
+
+        await self.logger.info('OpenClaw WeChat adapter starting...')
+
+        # QR code login flow when no token is provided
+        if not token:
+            await self.logger.info('No token configured, starting QR code login...')
+            try:
+                await self._do_login()
+            except Exception as e:
+                await self.logger.error(f'QR code login failed: {e}')
+                raise
+
+        # Rebuild client with the (possibly updated) config
+        self.client = OpenClawWeixinClient(
+            base_url=self.config.get('base_url', base_url),
+            token=self.config.get('token', token),
+        )
+        self.bot_account_id = self.config.get('account_id', 'openclaw-weixin')
+        self._polling = True
+
+        # Start the long-poll loop
+        self._poll_task = asyncio.create_task(self._poll_loop())
+        await self.logger.info('OpenClaw WeChat adapter running')
+
+        try:
+            await self._poll_task
+        except asyncio.CancelledError:
+            pass
+
+    async def _poll_loop(self):
+        """Long-poll loop: call getUpdates continuously.
+
+        Error handling follows the weixin-bot SDK pattern:
+        - Exponential backoff (1s -> 10s max) on failures
+        - Session expired (errcode -14) triggers automatic re-login
+        """
+        get_updates_buf = ''
+        poll_timeout = float(self.config.get('poll_timeout', 35))
+
+        backoff_delay = 1.0
+        max_backoff = 10.0
+
+        while self._polling:
+            try:
+                resp = await self.client.get_updates(
+                    get_updates_buf=get_updates_buf,
+                    timeout=poll_timeout + 5,
+                )
+
+                if resp.longpolling_timeout_ms and resp.longpolling_timeout_ms > 0:
+                    poll_timeout = resp.longpolling_timeout_ms / 1000.0
+
+                is_api_error = (resp.ret is not None and resp.ret != 0) or (
+                    resp.errcode is not None and resp.errcode != 0
+                )
+                if is_api_error:
+                    is_session_expired = resp.errcode == SESSION_EXPIRED_ERRCODE or resp.ret == SESSION_EXPIRED_ERRCODE
+
+                    if is_session_expired:
+                        await self.logger.error('OpenClaw WeChat session expired, attempting re-login...')
+                        try:
+                            await self._do_login()
+                            # Rebuild client with new credentials
+                            self.client = OpenClawWeixinClient(
+                                base_url=self.config.get('base_url', DEFAULT_BASE_URL),
+                                token=self.config.get('token', ''),
+                            )
+                            self._context_tokens.clear()
+                            get_updates_buf = ''
+                            backoff_delay = 1.0
+                            continue
+                        except Exception:
+                            await self.logger.error(f'Re-login failed: {traceback.format_exc()}')
+                            break
+
+                    await self.logger.error(
+                        f'OpenClaw getUpdates failed: ret={resp.ret} errcode={resp.errcode} errmsg={resp.errmsg}'
+                    )
+                    await asyncio.sleep(backoff_delay)
+                    backoff_delay = min(backoff_delay * 2, max_backoff)
+                    continue
+
+                backoff_delay = 1.0
+
+                if resp.get_updates_buf:
+                    get_updates_buf = resp.get_updates_buf
+
+                for msg in resp.msgs:
+                    try:
+                        await self._handle_inbound_message(msg)
+                    except Exception:
+                        await self.logger.error(f'Error handling message: {traceback.format_exc()}')
+
+            except asyncio.CancelledError:
+                break
+            except Exception:
+                await self.logger.error(f'OpenClaw poll error: {traceback.format_exc()}')
+                await asyncio.sleep(backoff_delay)
+                backoff_delay = min(backoff_delay * 2, max_backoff)
+
+    async def _handle_inbound_message(self, msg: WeixinMessage):
+        """Process a single inbound message from getUpdates."""
+        if msg.context_token and msg.from_user_id:
+            self._context_tokens[msg.from_user_id] = msg.context_token
+
+        # Download CDN media (files, images) before converting to LangBot events
+        await self._download_media_items(msg)
+
+        event = await OpenClawWeixinEventConverter.target2yiri(msg)
+        if event is None:
+            return
+
+        if type(event) in self.listeners:
+            await self.listeners[type(event)](event, self)
+
+    async def _download_media_items(self, msg: WeixinMessage):
+        """Download CDN media for image items in the message."""
+        if not msg.item_list:
+            return
+
+        for item in msg.item_list:
+            try:
+                if item.type == MessageItem.IMAGE and item.image_item:
+                    if (
+                        item.image_item.media
+                        and item.image_item.media.encrypt_query_param
+                        and item.image_item.media.aes_key
+                    ):
+                        img_bytes = await self.client.download_media(item.image_item.media)
+                        item.image_item._downloaded_bytes = img_bytes
+
+                # TODO: enable after full testing
+                # elif item.type == MessageItem.FILE and item.file_item and item.file_item.media:
+                #     if item.file_item.media.encrypt_query_param and item.file_item.media.aes_key:
+                #         file_bytes = await self.client.download_media(item.file_item.media)
+                #         item.file_item._downloaded_bytes = file_bytes
+                #
+                # elif item.type == MessageItem.VOICE and item.voice_item and item.voice_item.media:
+                #     if item.voice_item.media.encrypt_query_param and item.voice_item.media.aes_key:
+                #         voice_bytes = await self.client.download_media(item.voice_item.media)
+                #         item.voice_item._downloaded_bytes = voice_bytes
+                #
+                # elif item.type == MessageItem.VIDEO and item.video_item and item.video_item.media:
+                #     if item.video_item.media.encrypt_query_param and item.video_item.media.aes_key:
+                #         video_bytes = await self.client.download_media(item.video_item.media)
+                #         item.video_item._downloaded_bytes = video_bytes
+
+            except Exception:
+                await self.logger.warning(f'Failed to download CDN media: {traceback.format_exc()}')
+
+    async def kill(self) -> bool:
+        """Stop the adapter."""
+        self._polling = False
+        if self._poll_task and not self._poll_task.done():
+            self._poll_task.cancel()
+            try:
+                await self._poll_task
+            except asyncio.CancelledError:
+                pass
+        await self.client.close()
+        await self.logger.info('OpenClaw WeChat adapter stopped')
+        return True

src/langbot/pkg/platform/sources/openclaw_weixin.yaml

@@ -0,0 +1,74 @@
+apiVersion: v1
+kind: MessagePlatformAdapter
+metadata:
+  name: openclaw-weixin
+  label:
+    en_US: OpenClaw WeChat
+    zh_Hans: 个人微信机器人
+    zh_Hant: 個人微信機器人
+  description:
+    en_US: OpenClaw WeChat adapter, supports personal WeChat via QR code login
+    zh_Hans: 微信官方个人助手，扫码即可登录使用
+    zh_Hant: 微信官方個人助手，掃碼即可登入使用
+  icon: wechat.png
+spec:
+  categories:
+    - popular
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/openclaw_weixin
+    en: https://link.langbot.app/en/platforms/openclaw_weixin
+    ja: https://link.langbot.app/ja/platforms/openclaw_weixin
+  config:
+    - name: base_url
+      label:
+        en_US: API Base URL
+        zh_Hans: API 基础地址
+        zh_Hant: API 基礎地址
+      description:
+        en_US: The base URL of the OpenClaw WeChat backend API
+        zh_Hans: OpenClaw 微信后端 API 的基础地址
+        zh_Hant: OpenClaw 微信後端 API 的基礎地址
+      type: string
+      required: true
+      default: "https://ilinkai.weixin.qq.com"
+    - name: token
+      label:
+        en_US: Token
+        zh_Hans: 令牌
+        zh_Hant: 令牌
+      description:
+        en_US: Bearer token obtained after QR code login authorization. Leave empty to trigger QR code login on startup.
+        zh_Hans: 扫码登录授权后获取的 Bearer 令牌。请留空并保存，将在启动时输出二维码到日志，扫码后即可自动登录。
+        zh_Hant: 掃碼登入授權後取得的 Bearer 令牌。請留空並儲存，將在啟動時輸出 QR Code 到日誌，掃碼後即可自動登入。
+      type: string
+      required: false
+      default: ""
+    - name: account_id
+      label:
+        en_US: Account ID
+        zh_Hans: 账号标识
+        zh_Hant: 帳號標識
+      description:
+        en_US: A label for this WeChat account (used for display purposes)
+        zh_Hans: 此微信账号的标识（用于显示）
+        zh_Hant: 此微信帳號的標識（用於顯示）
+      type: string
+      required: false
+      default: "openclaw-weixin"
+    - name: poll_timeout
+      label:
+        en_US: Poll Timeout (seconds)
+        zh_Hans: 轮询超时（秒）
+        zh_Hant: 輪詢逾時（秒）
+      description:
+        en_US: Long-poll timeout for getUpdates, the server may hold the request up to this duration
+        zh_Hans: getUpdates 长轮询超时时间，服务端最多持有请求的时长
+        zh_Hant: getUpdates 長輪詢逾時時間，伺服端最多持有請求的時長
+      type: integer
+      required: false
+      default: 35
+execution:
+  python:
+    path: ./openclaw_weixin.py
+    attr: OpenClawWeixinAdapter