fix(itchat): correct group/private message handling and sender resolution

- filter the bot's own messages to prevent reply loops - use startswith('@@') for group detection - use ActualUserName as stable GroupMember id - fill Friend.remark from RemarkName - strip @mention prefix with a regex
Merge remote-tracking branch 'origin/master' into feature/itchat-adapter
2026-09-08 18:47:14 +00:00 · 2026-08-13 11:18:09 +08:00 · 2026-08-12 16:58:58 +08:00 · 2026-07-06 13:36:58 +08:00 · 2026-07-02 14:40:13 +08:00 · 2026-07-02 13:56:24 +08:00
198 changed files with 2965 additions and 8345 deletions
@@ -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://langbot.app/docs/zh/workshop/network-details
+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:
@@ -22,7 +22,7 @@ body:
  - type: textarea
    attributes:
      label: 异常情况
-      description: 完整描述异常情况，什么时候发生的、发生了什么。**请附带日志信息。**
+      description: 完整描述异常情况，什么时候发生的、发生了什么。**请附带日志信息。** 
    validations:
      required: true
  - type: textarea
@@ -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://langbot.app/docs/en/workshop/network-details
+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:
@@ -7,42 +7,23 @@ on:
 jobs:
  build-dev-image:
    runs-on: ubuntu-latest
+    # 如果是tag则跳过
    if: ${{ !startsWith(github.ref, 'refs/tags/') }}
-    permissions:
-      contents: read
    steps:
      - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v2
        with:
          persist-credentials: false

-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Generate image metadata
-        id: image
-        shell: bash
+      - name: Generate Tag
+        id: generate_tag
        run: |
-          set -euo pipefail
-          branch_tag="${GITHUB_REF#refs/heads/}"
-          branch_tag="${branch_tag//\//-}"
-          echo "branch_tag=${branch_tag}" >> "$GITHUB_OUTPUT"
-          echo "sha_tag=sha-${GITHUB_SHA}" >> "$GITHUB_OUTPUT"
-
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_USERNAME }}
-          password: ${{ secrets.DOCKER_PASSWORD }}
-
-      - name: Build and push immutable Core image
-        uses: docker/build-push-action@v6
-        with:
-          context: .
-          push: true
-          tags: |
-            rockchin/langbot:${{ steps.image.outputs.branch_tag }}
-            rockchin/langbot:${{ steps.image.outputs.sha_tag }}
-          labels: |
-            org.opencontainers.image.revision=${{ github.sha }}
-            org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}
+          # 获取分支名称，把/替换为-
+          echo ${{ github.ref }} | sed 's/refs\/heads\///g' | sed 's/\//-/g'
+          echo ::set-output name=tag::$(echo ${{ github.ref }} | sed 's/refs\/heads\///g' | sed 's/\//-/g')
+      - name: Login to Registry
+        run: docker login --username=${{ secrets.DOCKER_USERNAME }} --password ${{ secrets.DOCKER_PASSWORD }}
+      - name: Build Docker Image
+        run: |
+          docker buildx create --name mybuilder --use
+          docker build -t rockchin/langbot:${{ steps.generate_tag.outputs.tag }} . --push
@@ -0,0 +1,59 @@
+name: Build and deploy production
+
+on:
+  push:
+    branches: [deploy/prod]
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+concurrency:
+  group: langbot-production
+  cancel-in-progress: false
+
+env:
+  CORE_IMAGE: ${{ secrets.DOCKER_USERNAME }}/langbot
+  CLOUD_IMAGE: ${{ secrets.DOCKER_USERNAME }}/langbot-cloud-core
+  SPACE_REF: 58253c53933f95d81b035fbe2efedb55b6c1a82b
+
+jobs:
+  build-and-deploy:
+    runs-on: ubuntu-latest
+    environment: production
+    steps:
+      - uses: actions/checkout@v4
+      - uses: docker/setup-buildx-action@v3
+      - uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_PASSWORD }}
+      - name: Build exact Core image
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          push: true
+          tags: |
+            ${{ env.CORE_IMAGE }}:prod-${{ github.sha }}
+            ${{ env.CORE_IMAGE }}:deploy-prod
+          cache-from: type=gha,scope=core-prod
+          cache-to: type=gha,mode=max,scope=core-prod
+      - name: Checkout production Cloud adapter
+        uses: actions/checkout@v4
+        with:
+          repository: langbot-app/langbot-space
+          ref: ${{ env.SPACE_REF }}
+          token: ${{ secrets.CLA_PAT }}
+          path: .space
+      - name: Build exact Cloud Core image
+        uses: docker/build-push-action@v6
+        with:
+          context: .space
+          file: .space/Dockerfile.cloud
+          push: true
+          build-args: LANGBOT_CORE_IMAGE=${{ env.CORE_IMAGE }}:prod-${{ github.sha }}
+          tags: |
+            ${{ env.CLOUD_IMAGE }}:prod-${{ github.sha }}
+            ${{ env.CLOUD_IMAGE }}:deploy-prod
+          cache-from: type=gha,scope=cloud-core-prod
+          cache-to: type=gha,mode=max,scope=cloud-core-prod
@@ -43,8 +43,8 @@ Run the narrowest useful test first, then broader checks when confidence is need
 ## Where to Look

 - Architecture map: `ARCHITECTURE.md`.
- Dev environment guide: https://langbot.app/docs/zh/develop/dev-config.
- Plugin runtime / CLI / SDK debugging: https://langbot.app/docs/zh/develop/plugin-runtime.
+- Dev environment guide: https://docs.langbot.app/zh/develop/dev-config.
+- Plugin runtime / CLI / SDK debugging: https://docs.langbot.app/zh/develop/plugin-runtime.
 - API-key auth: `docs/API_KEY_AUTH.md`.
 - Box deep-dive notes: `docs/review/box-architecture.md` and related files.
 - In-repo skills: `skills/` is the single source of truth for LangBot agent skills.
@@ -1,4 +1,4 @@
-FROM --platform=$BUILDPLATFORM node:22-alpine AS node
+FROM node:22-alpine AS node

 WORKDIR /app

@@ -62,7 +62,7 @@ RUN apt-get update \
    && apt-get install -y --no-install-recommends nodejs \
    && rm -f /tmp/nodesource_setup.sh \
    && python -m pip install --no-cache-dir uv \
-    && uv sync --extra seekdb \
+    && uv sync \
    && apt-get purge -y --auto-remove curl git gnupg \
    && rm -rf /var/lib/apt/lists/* \
    && touch /.dockerenv
@@ -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://langbot.app/docs/en/insight/features">Features</a> ｜
-<a href="https://langbot.app/docs/en/insight/guide">Docs</a> ｜
-<a href="https://langbot.app/docs/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>
@@ -49,7 +49,7 @@ 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://langbot.app/docs/en/insight/features)
+[→ Learn more about all features](https://link.langbot.app/en/docs/features)

 📍 Practical guides: [deploy a multi-platform AI bot in 5 minutes](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [connect DeepSeek to WeChat, Discord, and Telegram](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [run a Dify Agent in Discord, Telegram, and Slack](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/), and [build an n8n-powered chatbot](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).

@@ -83,13 +83,12 @@ cd LangBot/docker
 docker compose --profile all up -d
 ```

-
 ### One-Click Cloud Deploy

 [![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://langbot.app/docs/en/deploy/langbot/docker) · [Manual](https://langbot.app/docs/en/deploy/langbot/manual) · [BTPanel](https://langbot.app/docs/en/deploy/langbot/one-click/bt) · [Kubernetes](https://langbot.app/docs/en/deploy/langbot/kubernetes)
+**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](https://docs.langbot.app/en/deploy/langbot/kubernetes)

 ---

@@ -151,7 +150,7 @@ _Note: Public demo environment. Do not enter sensitive information._
 | [302.AI](https://share.302ai.cn/SuTG99)                                                                             | Gateway      | ✅     |
 | [Qiniu](https://www.qiniu.com/ai/agent)                                                                           | Gateway      | ✅     |

-[→ View all integrations](https://langbot.app/docs/en/insight/features)
+[→ View all integrations](https://link.langbot.app/en/docs/features)

 ---

@@ -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://langbot.app/docs/zh/insight/features">特性</a> ｜
-<a href="https://langbot.app/docs/zh/insight/guide">文档</a> ｜
-<a href="https://langbot.app/docs/zh/tags/readme">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">扩展市场</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">路线图</a>
@@ -49,7 +49,7 @@ LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时
 - **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://langbot.app/docs/zh/insight/features)
+[→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)

 📍 实践指南：[5 分钟部署多平台 AI 机器人](https://langbot.app/zh/blog/deploy-ai-bot-in-5-minutes/)、[将 DeepSeek 接入微信、企业微信与 Discord](https://langbot.app/zh/blog/connect-deepseek-to-wechat/)、[让 Dify Agent 跑在 Discord、Telegram 和 Slack 上](https://langbot.app/zh/blog/dify-agent-discord-telegram-slack/)，以及[用 n8n 构建多平台 AI 聊天机器人](https://langbot.app/zh/blog/n8n-multi-platform-ai-chatbot/)。

@@ -83,13 +83,12 @@ cd LangBot/docker
 docker compose --profile all up -d
 ```

-
 ### 一键云部署

 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**更多方式：** [Docker](https://langbot.app/docs/zh/deploy/langbot/docker) · [手动部署](https://langbot.app/docs/zh/deploy/langbot/manual) · [宝塔面板](https://langbot.app/docs/zh/deploy/langbot/one-click/bt) · [Kubernetes](https://langbot.app/docs/zh/deploy/langbot/kubernetes)
+**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](https://docs.langbot.app/zh/deploy/langbot/kubernetes)

 ---

@@ -152,7 +151,7 @@ docker compose --profile all up -d
 | [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://langbot.app/docs/zh/insight/features)
+[→ 查看完整集成列表](https://link.langbot.app/zh/docs/features)

 ### TTS（语音合成）

@@ -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://langbot.app/docs/en/insight/features">Características</a> ｜
-<a href="https://langbot.app/docs/en/insight/guide">Documentación</a> ｜
-<a href="https://langbot.app/docs/en/tags/readme">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>

@@ -48,7 +48,7 @@ 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://langbot.app/docs/en/insight/features)
+[→ Conocer más sobre todas las funcionalidades](https://link.langbot.app/en/docs/features)

 📍 Guías prácticas: [desplegar un bot de IA multiplataforma en 5 minutos](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [conectar DeepSeek a WeChat, Discord y Telegram](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [ejecutar un Dify Agent en Discord, Telegram y Slack](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/) y [crear un chatbot con n8n](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).

@@ -82,13 +82,12 @@ cd LangBot/docker
 docker compose --profile all up -d
 ```

-
 ### Despliegue en la Nube con un Clic

 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Más opciones:** [Docker](https://langbot.app/docs/en/deploy/langbot/docker) · [Manual](https://langbot.app/docs/en/deploy/langbot/manual) · [BTPanel](https://langbot.app/docs/en/deploy/langbot/one-click/bt) · [Kubernetes](https://langbot.app/docs/en/deploy/langbot/kubernetes)
+**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](https://docs.langbot.app/en/deploy/langbot/kubernetes)

 ---

@@ -149,7 +148,7 @@ docker compose --profile all up -d
 | [302.AI](https://share.302ai.cn/SuTG99) | Pasarela | ✅ |
 | [Qiniu](https://www.qiniu.com/ai/agent) | Pasarela | ✅ |

-[→ Ver todas las integraciones](https://langbot.app/docs/en/insight/features)
+[→ Ver todas las integraciones](https://link.langbot.app/en/docs/features)

 ---

@@ -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://langbot.app/docs/en/insight/features">Fonctionnalités</a> ｜
-<a href="https://langbot.app/docs/en/insight/guide">Documentation</a> ｜
-<a href="https://langbot.app/docs/en/tags/readme">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>

@@ -48,7 +48,7 @@ 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://langbot.app/docs/en/insight/features)
+[→ En savoir plus sur toutes les fonctionnalités](https://link.langbot.app/en/docs/features)

 📍 Guides pratiques : [déployer un bot IA multiplateforme en 5 minutes](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [connecter DeepSeek à WeChat, Discord et Telegram](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [exécuter un Dify Agent dans Discord, Telegram et Slack](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/) et [créer un chatbot avec n8n](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).

@@ -82,13 +82,12 @@ cd LangBot/docker
 docker compose --profile all up -d
 ```

-
 ### Déploiement Cloud en un Clic

 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Plus d'options :** [Docker](https://langbot.app/docs/en/deploy/langbot/docker) · [Manuel](https://langbot.app/docs/en/deploy/langbot/manual) · [BTPanel](https://langbot.app/docs/en/deploy/langbot/one-click/bt) · [Kubernetes](https://langbot.app/docs/en/deploy/langbot/kubernetes)
+**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](https://docs.langbot.app/en/deploy/langbot/kubernetes)

 ---

@@ -149,7 +148,7 @@ docker compose --profile all up -d
 | [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plateforme GPU | ✅ |
 | [Qiniu](https://www.qiniu.com/ai/agent) | Passerelle | ✅ |

-[→ Voir toutes les intégrations](https://langbot.app/docs/en/insight/features)
+[→ Voir toutes les intégrations](https://link.langbot.app/en/docs/features)

 ---

@@ -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://langbot.app/docs/ja/insight/features">機能</a> ｜
-<a href="https://langbot.app/docs/ja/insight/guide">ドキュメント</a> ｜
-<a href="https://langbot.app/docs/ja/tags/readme">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>

@@ -48,7 +48,7 @@ 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://langbot.app/docs/ja/insight/features)
+[→ すべての機能について詳しく見る](https://link.langbot.app/ja/docs/features)

 📍 実践ガイド: [5分でマルチプラットフォームAIボットをデプロイ](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/)、[DeepSeekをWeChat・Discord・Telegramに接続](https://langbot.app/en/blog/connect-deepseek-to-wechat/)、[Dify AgentをDiscord・Telegram・Slackで動かす](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/)、[n8n連携チャットボットを構築](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/)。

@@ -82,13 +82,12 @@ cd LangBot/docker
 docker compose --profile all up -d
 ```

-
 ### ワンクリッククラウドデプロイ

 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**その他:** [Docker](https://langbot.app/docs/en/deploy/langbot/docker) · [手動デプロイ](https://langbot.app/docs/en/deploy/langbot/manual) · [BTPanel](https://langbot.app/docs/en/deploy/langbot/one-click/bt) · [Kubernetes](https://langbot.app/docs/en/deploy/langbot/kubernetes)
+**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](https://docs.langbot.app/en/deploy/langbot/kubernetes)

 ---

@@ -149,7 +148,7 @@ docker compose --profile all up -d
 | [302.AI](https://share.302ai.cn/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://langbot.app/docs/en/insight/features)
+[→ すべての統合を表示](https://link.langbot.app/en/docs/features)

 ---

@@ -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://langbot.app/docs/en/insight/features">기능</a> ｜
-<a href="https://langbot.app/docs/en/insight/guide">문서</a> ｜
-<a href="https://langbot.app/docs/en/tags/readme">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>

@@ -48,7 +48,7 @@ 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://langbot.app/docs/en/insight/features)
+[→ 모든 기능 자세히 보기](https://link.langbot.app/en/docs/features)

 📍 실전 가이드: [5분 만에 멀티 플랫폼 AI 봇 배포하기](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [DeepSeek를 WeChat, Discord, Telegram에 연결하기](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [Dify Agent를 Discord, Telegram, Slack에서 실행하기](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/), [n8n 기반 챗봇 만들기](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).

@@ -82,13 +82,12 @@ cd LangBot/docker
 docker compose --profile all up -d
 ```

-
 ### 원클릭 클라우드 배포

 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**더 많은 옵션:** [Docker](https://langbot.app/docs/en/deploy/langbot/docker) · [수동 배포](https://langbot.app/docs/en/deploy/langbot/manual) · [BTPanel](https://langbot.app/docs/en/deploy/langbot/one-click/bt) · [Kubernetes](https://langbot.app/docs/en/deploy/langbot/kubernetes)
+**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](https://docs.langbot.app/en/deploy/langbot/kubernetes)

 ---

@@ -149,7 +148,7 @@ docker compose --profile all up -d
 | [302.AI](https://share.302ai.cn/SuTG99) | 게이트웨이 | ✅ |
 | [Qiniu](https://www.qiniu.com/ai/agent) | 게이트웨이 | ✅ |

-[→ 모든 통합 보기](https://langbot.app/docs/en/insight/features)
+[→ 모든 통합 보기](https://link.langbot.app/en/docs/features)

 ---

@@ -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://langbot.app/docs/en/insight/features">Возможности</a> ｜
-<a href="https://langbot.app/docs/en/insight/guide">Документация</a> ｜
-<a href="https://langbot.app/docs/en/tags/readme">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>

@@ -48,7 +48,7 @@ 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://langbot.app/docs/en/insight/features)
+[→ Подробнее обо всех возможностях](https://link.langbot.app/en/docs/features)

 📍 Практические руководства: [развернуть мультиплатформенного ИИ-бота за 5 минут](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [подключить DeepSeek к WeChat, Discord и Telegram](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [запустить Dify Agent в Discord, Telegram и Slack](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/) и [создать чат-бота на n8n](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).

@@ -82,13 +82,12 @@ cd LangBot/docker
 docker compose --profile all up -d
 ```

-
 ### Облачное развертывание одним кликом

 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Другие варианты:** [Docker](https://langbot.app/docs/en/deploy/langbot/docker) · [Ручная установка](https://langbot.app/docs/en/deploy/langbot/manual) · [BTPanel](https://langbot.app/docs/en/deploy/langbot/one-click/bt) · [Kubernetes](https://langbot.app/docs/en/deploy/langbot/kubernetes)
+**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](https://docs.langbot.app/en/deploy/langbot/kubernetes)

 ---

@@ -149,7 +148,7 @@ docker compose --profile all up -d
 | [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Платформа GPU | ✅ |
 | [Qiniu](https://www.qiniu.com/ai/agent) | Шлюз | ✅ |

-[→ Смотреть все интеграции](https://langbot.app/docs/en/insight/features)
+[→ Смотреть все интеграции](https://link.langbot.app/en/docs/features)

 ---

@@ -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://langbot.app/docs/zh/insight/features">特性</a> ｜
-<a href="https://langbot.app/docs/zh/insight/guide">文件</a> ｜
-<a href="https://langbot.app/docs/zh/tags/readme">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>

@@ -50,7 +50,7 @@ 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://langbot.app/docs/zh/insight/features)
+[→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)

 📍 實踐指南：[5 分鐘部署多平台 AI 機器人](https://langbot.app/zh/blog/deploy-ai-bot-in-5-minutes/)、[將 DeepSeek 接入微信、企業微信與 Discord](https://langbot.app/zh/blog/connect-deepseek-to-wechat/)、[讓 Dify Agent 跑在 Discord、Telegram 和 Slack 上](https://langbot.app/zh/blog/dify-agent-discord-telegram-slack/)，以及[用 n8n 建構多平台 AI 聊天機器人](https://langbot.app/zh/blog/n8n-multi-platform-ai-chatbot/)。

@@ -84,13 +84,12 @@ cd LangBot/docker
 docker compose --profile all up -d
 ```

-
 ### 一鍵雲端部署

 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**更多方式：** [Docker](https://langbot.app/docs/zh/deploy/langbot/docker) · [手動部署](https://langbot.app/docs/zh/deploy/langbot/manual) · [寶塔面板](https://langbot.app/docs/zh/deploy/langbot/one-click/bt) · [Kubernetes](https://langbot.app/docs/zh/deploy/langbot/kubernetes)
+**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](https://docs.langbot.app/zh/deploy/langbot/kubernetes)

 ---

@@ -165,7 +164,7 @@ docker compose --profile all up -d
 |-----------|------|
 | 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin) |

-[→ 查看完整整合列表](https://langbot.app/docs/zh/insight/features)
+[→ 查看完整整合列表](https://link.langbot.app/zh/docs/features)

 ---

@@ -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://langbot.app/docs/en/insight/features">Tính năng</a> ｜
-<a href="https://langbot.app/docs/en/insight/guide">Tài liệu</a> ｜
-<a href="https://langbot.app/docs/en/tags/readme">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>

@@ -48,7 +48,7 @@ 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://langbot.app/docs/en/insight/features)
+[→ Tìm hiểu thêm về tất cả tính năng](https://link.langbot.app/en/docs/features)

 📍 Hướng dẫn thực hành: [triển khai bot AI đa nền tảng trong 5 phút](https://langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [kết nối DeepSeek với WeChat, Discord và Telegram](https://langbot.app/en/blog/connect-deepseek-to-wechat/), [chạy Dify Agent trên Discord, Telegram và Slack](https://langbot.app/en/blog/dify-agent-discord-telegram-slack/) và [xây dựng chatbot với n8n](https://langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).

@@ -82,13 +82,12 @@ cd LangBot/docker
 docker compose --profile all up -d
 ```

-
 ### Triển khai đám mây một cú nhấp

 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Thêm tùy chọn:** [Docker](https://langbot.app/docs/en/deploy/langbot/docker) · [Thủ công](https://langbot.app/docs/en/deploy/langbot/manual) · [BTPanel](https://langbot.app/docs/en/deploy/langbot/one-click/bt) · [Kubernetes](https://langbot.app/docs/en/deploy/langbot/kubernetes)
+**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](https://docs.langbot.app/en/deploy/langbot/kubernetes)

 ---

@@ -149,7 +148,7 @@ docker compose --profile all up -d
 | [302.AI](https://share.302ai.cn/SuTG99) | Cổng | ✅ |
 | [Qiniu](https://www.qiniu.com/ai/agent) | Cổng | ✅ |

-[→ Xem tất cả tích hợp](https://langbot.app/docs/en/insight/features)
+[→ Xem tất cả tích hợp](https://link.langbot.app/en/docs/features)

 ---

@@ -0,0 +1,97 @@
+#!/usr/bin/env bash
+set -Eeuo pipefail
+
+cd /opt/langbot-cloud-prod
+TAG=${1:?usage: deploy.sh prod-<40-char-sha>}
+[[ "$TAG" =~ ^prod-[0-9a-f]{40}$ ]] || { echo 'invalid immutable image tag' >&2; exit 2; }
+[[ -s .env ]] || { echo '/opt/langbot-cloud-prod/.env is missing' >&2; exit 3; }
+
+rendered_compose=$(docker compose config)
+grep -Fq 'LANGBOT_SPACE_CONTROL_PLANE_URL: https://space.langbot.app' <<<"$rendered_compose" || {
+  echo 'Cloud control-plane URL must be https://space.langbot.app' >&2
+  exit 4
+}
+grep -Fq 'SPACE__URL: https://space.langbot.app' <<<"$rendered_compose" || {
+  echo 'Cloud user-facing Space URL must be https://space.langbot.app' >&2
+  exit 5
+}
+grep -Eq 'LANGBOT_TELEMETRY_INGEST_TOKEN: .+' <<<"$rendered_compose" || {
+  echo 'Cloud telemetry ingest token must be configured' >&2
+  exit 6
+}
+
+update_env() {
+  local key=$1 value=$2
+  python3 - "$key" "$value" <<'PY'
+from pathlib import Path
+import os
+import sys
+
+path = Path('.env')
+key, value = sys.argv[1:]
+lines = path.read_text().splitlines()
+updated = False
+for index, line in enumerate(lines):
+    if line.startswith(f'{key}='):
+        lines[index] = f'{key}={value}'
+        updated = True
+        break
+if not updated:
+    lines.append(f'{key}={value}')
+temporary = Path('.env.tmp')
+temporary.write_text('\n'.join(lines) + '\n')
+os.chmod(temporary, 0o600)
+temporary.replace(path)
+PY
+}
+update_env LANGBOT_IMAGE_TAG "$TAG"
+set -a
+. ./.env
+set +a
+: "${CLOUD_V2_CONTROL_PLANE_TOKEN:?CLOUD_V2_CONTROL_PLANE_TOKEN is required}"
+
+for attempt in 1 2 3 4 5; do
+  if docker compose pull postgres redis migrate plugin-runtime core; then
+    break
+  fi
+  if [ "$attempt" -eq 5 ]; then
+    echo "docker compose pull failed after $attempt attempts" >&2
+    exit 1
+  fi
+  delay=$((attempt * 10))
+  echo "docker compose pull failed (attempt $attempt/5); retrying in ${delay}s" >&2
+  sleep "$delay"
+done
+docker compose up -d postgres redis
+for _ in $(seq 1 60); do
+  if docker compose exec -T postgres pg_isready -U langbot_operator -d langbot >/dev/null 2>&1; then break; fi
+  sleep 2
+done
+docker compose exec -T postgres pg_isready -U langbot_operator -d langbot >/dev/null
+
+docker compose exec -T postgres psql -v ON_ERROR_STOP=1 -U langbot_operator -d langbot \
+  -v runtime_password="$POSTGRES_RUNTIME_PASSWORD" <<'SQL'
+SELECT format('CREATE ROLE langbot_runtime LOGIN PASSWORD %L', :'runtime_password')
+WHERE NOT EXISTS (SELECT 1 FROM pg_roles WHERE rolname = 'langbot_runtime')\gexec
+ALTER ROLE langbot_runtime PASSWORD :'runtime_password';
+GRANT CONNECT ON DATABASE langbot TO langbot_runtime;
+REVOKE CREATE ON SCHEMA public FROM PUBLIC, langbot_runtime;
+REVOKE ALL PRIVILEGES ON ALL TABLES IN SCHEMA public FROM langbot_runtime;
+REVOKE ALL PRIVILEGES ON ALL SEQUENCES IN SCHEMA public FROM langbot_runtime;
+ALTER DEFAULT PRIVILEGES FOR ROLE langbot_operator IN SCHEMA public REVOKE ALL ON TABLES FROM langbot_runtime;
+ALTER DEFAULT PRIVILEGES FOR ROLE langbot_operator IN SCHEMA public REVOKE ALL ON SEQUENCES FROM langbot_runtime;
+GRANT USAGE ON SCHEMA public TO langbot_runtime;
+SQL
+
+docker compose --profile tools run --rm migrate
+
+docker compose up -d --remove-orphans plugin-runtime core
+for _ in $(seq 1 90); do
+  if docker compose exec -T core python -c 'import urllib.request; urllib.request.urlopen("http://127.0.0.1:5300/healthz", timeout=3)' >/dev/null 2>&1; then
+    docker compose ps
+    exit 0
+  fi
+  sleep 2
+done
+docker compose logs --tail=200 core plugin-runtime >&2
+exit 1
@@ -0,0 +1,162 @@
+services:
+  postgres:
+    image: pgvector/pgvector:pg17
+    container_name: langbot-cloud-postgres
+    restart: unless-stopped
+    environment:
+      POSTGRES_DB: langbot
+      POSTGRES_USER: langbot_operator
+      POSTGRES_PASSWORD: ${POSTGRES_OPERATOR_PASSWORD}
+    volumes:
+      - postgres-data:/var/lib/postgresql/data
+    healthcheck:
+      test: [CMD-SHELL, "pg_isready -U langbot_operator -d langbot"]
+      interval: 5s
+      timeout: 5s
+      retries: 30
+    networks: [internal]
+
+  redis:
+    image: redis:7.4-alpine
+    container_name: langbot-cloud-redis
+    restart: unless-stopped
+    command: [redis-server, --appendonly, "yes", --requirepass, "${REDIS_PASSWORD}"]
+    volumes:
+      - redis-data:/data
+    healthcheck:
+      test: [CMD-SHELL, "redis-cli -a \"$${REDIS_PASSWORD}\" ping | grep PONG"]
+      interval: 5s
+      timeout: 5s
+      retries: 20
+    environment:
+      REDIS_PASSWORD: ${REDIS_PASSWORD}
+    networks: [internal]
+
+  migrate:
+    image: rockchin/langbot-cloud-core:${LANGBOT_IMAGE_TAG}
+    profiles: [tools]
+    command: [uv, run, langbot, migrate, --cloud]
+    environment: &core-env
+      TZ: Asia/Shanghai
+      SYSTEM__INSTANCE_ID: ${CLOUD_V2_INSTANCE_UUID}
+      SYSTEM__EDITION: cloud
+      SYSTEM__RECOVERY_KEY: ${SYSTEM_RECOVERY_KEY}
+      SYSTEM__JWT__SECRET: ${JWT_SECRET}
+      SYSTEM__LIMITATION__MAX_BOTS: "2"
+      SYSTEM__LIMITATION__MAX_PIPELINES: "3"
+      SYSTEM__LIMITATION__MAX_EXTENSIONS: "3"
+      SYSTEM__LIMITATION__MAX_KNOWLEDGE_BASES: "2"
+      API__WEBHOOK_PREFIX: https://cloud.langbot.app
+      API__WEBUI_URL: https://cloud.langbot.app
+      WORKSPACE__INVITATIONS__PUBLIC_WEB_URL: https://cloud.langbot.app
+      DATABASE__USE: postgresql
+      DATABASE__POSTGRESQL__URL: postgresql+asyncpg://langbot_runtime:${POSTGRES_RUNTIME_PASSWORD}@postgres:5432/langbot
+      DATABASE__CLOUD_MIGRATION__OPERATOR_DSN_ENV: LANGBOT_CLOUD_MIGRATION_DSN
+      LANGBOT_CLOUD_MIGRATION_DSN: postgresql://langbot_operator:${POSTGRES_OPERATOR_PASSWORD}@postgres:5432/langbot
+      VDB__USE: pgvector
+      VDB__PGVECTOR__USE_BUSINESS_DATABASE: "true"
+      VDB__PGVECTOR__ALLOWED_DIMENSIONS: "384,512,768,1024,1536"
+      PLUGIN__ENABLE: "true"
+      PLUGIN__RUNTIME_WS_URL: ws://plugin-runtime:5400/control/ws
+      PLUGIN__DISPLAY_PLUGIN_DEBUG_URL: wss://cloud.langbot.app/plugin/debug/ws
+      PLUGIN__WORKER__MAX_CPUS: "0.25"
+      PLUGIN__WORKER__MAX_MEMORY_MB: "256"
+      PLUGIN__WORKER__MAX_PIDS: "128"
+      PLUGIN__WORKER__MAX_WORKERS: "16"
+      PLUGIN__WORKER__MAX_TOTAL_CPUS: "4.0"
+      PLUGIN__WORKER__MAX_TOTAL_MEMORY_MB: "4096"
+      PLUGIN__WORKER__REQUIRE_HARD_LIMITS: "true"
+      LANGBOT_PLUGIN_RUNTIME_CONTROL_TOKEN: ${PLUGIN_RUNTIME_CONTROL_TOKEN}
+      # Cloud v2 currently grants no managed Box capability. Keep the shared
+      # runtime deployed but disable Core integration until a hard-quota-capable
+      # backend can satisfy the fail-closed Cloud readiness contract.
+      BOX__ENABLED: "false"
+      BOX__BACKEND: nsjail
+      BOX__RUNTIME__ENDPOINT: ws://box:5410
+      BOX__ADMISSION__REQUIRED: "true"
+      BOX__ADMISSION__LOGICAL_SESSION_ID: global
+      BOX__ADMISSION__REQUIRED_BACKEND: nsjail
+      BOX__ADMISSION__MAX_SESSIONS: "1"
+      BOX__ADMISSION__MAX_MANAGED_PROCESSES: "0"
+      BOX__ADMISSION__CPUS: "0.25"
+      BOX__ADMISSION__MEMORY_MB: "256"
+      BOX__ADMISSION__WORKSPACE_QUOTA_MB: "256"
+      BOX__LOCAL__HOST_ROOT: /app/data/box
+      BOX__LOCAL__DEFAULT_WORKSPACE: /app/data/box
+      BOX__LOCAL__ALLOWED_MOUNT_ROOTS: /app/data/box
+      LANGBOT_BOX_CONTROL_TOKEN: ${BOX_CONTROL_TOKEN}
+      MCP__STDIO__ENABLED: "false"
+      LANGBOT_SPACE_CONTROL_PLANE_URL: https://space.langbot.app
+      LANGBOT_SPACE_CONTROL_PLANE_TOKEN: ${CLOUD_V2_CONTROL_PLANE_TOKEN}
+      LANGBOT_TELEMETRY_INGEST_TOKEN: ${CLOUD_V2_CONTROL_PLANE_TOKEN}
+      LANGBOT_SPACE_CONTROL_PLANE_PUBLIC_KEY: ${CLOUD_V2_MANIFEST_PUBLIC_KEY}
+      LANGBOT_SPACE_CONTROL_PLANE_KEY_ID: ${CLOUD_V2_MANIFEST_KEY_ID}
+      SPACE__URL: https://space.langbot.app
+    depends_on:
+      postgres: {condition: service_healthy}
+    networks: [internal]
+
+  plugin-runtime:
+    image: rockchin/langbot:${LANGBOT_IMAGE_TAG}
+    container_name: langbot-cloud-plugin-runtime
+    restart: unless-stopped
+    command: [uv, run, python, -m, langbot_plugin.cli.__init__, rt]
+    environment:
+      LANGBOT_PLUGIN_RUNTIME_CONTROL_TOKEN: ${PLUGIN_RUNTIME_CONTROL_TOKEN}
+    volumes:
+      - plugin-data:/app/data
+      - /sys/fs/cgroup:/sys/fs/cgroup:rw
+    cgroup: host
+    privileged: true
+    expose: ["5400"]
+    networks: [internal]
+
+  box:
+    image: rockchin/langbot:${LANGBOT_IMAGE_TAG}
+    container_name: langbot-cloud-box
+    restart: unless-stopped
+    command: [uv, run, lbp, box, --host, 0.0.0.0, --ws-control-port, "5410"]
+    environment:
+      LANGBOT_BOX_CONTROL_TOKEN: ${BOX_CONTROL_TOKEN}
+      LANGBOT_BOX_ROOT: /app/data/box
+    volumes:
+      - box-data:/app/data/box
+      - /sys/fs/cgroup:/sys/fs/cgroup:rw
+    cgroup: host
+    privileged: true
+    expose: ["5410"]
+    networks: [internal]
+
+  core:
+    image: rockchin/langbot-cloud-core:${LANGBOT_IMAGE_TAG}
+    container_name: langbot-cloud-core
+    restart: unless-stopped
+    environment: *core-env
+    volumes:
+      - core-data:/app/data
+      - box-data:/app/data/box
+    depends_on:
+      postgres: {condition: service_healthy}
+      redis: {condition: service_healthy}
+      plugin-runtime: {condition: service_started}
+      box: {condition: service_started}
+    expose: ["5300"]
+    healthcheck:
+      test: [CMD-SHELL, "python -c 'import urllib.request; urllib.request.urlopen(\"http://127.0.0.1:5300/healthz\", timeout=3)'" ]
+      interval: 10s
+      timeout: 5s
+      retries: 30
+      start_period: 30s
+    networks: [internal, shared-network]
+
+networks:
+  internal:
+  shared-network:
+    external: true
+
+volumes:
+  postgres-data:
+  redis-data:
+  plugin-data:
+  box-data:
+  core-data:
@@ -1,5 +1,5 @@
 # Docker Compose configuration for LangBot
-# For Kubernetes deployment, see kubernetes.yaml and the deployment guide at https://langbot.app/docs
+# For Kubernetes deployment, see kubernetes.yaml and the deployment guide at https://docs.langbot.app
 version: "3"

 services:
@@ -47,10 +47,11 @@ services:
    restart: on-failure
    environment:
      - TZ=Asia/Shanghai
-      # Optional shared control-plane secret used to authenticate both the RPC
-      # socket and managed-process relay. Leave unset on both OSS services, or
-      # generate one with ``openssl rand -hex 32`` and set the same value on
-      # both ends. Strongly recommended when the deployment is Internet-accessible.
+      # Shared control-plane secret used to authenticate both the RPC socket
+      # and managed-process relay. Generate once (for example with
+      # ``openssl rand -hex 32``) and export it before enabling this profile.
+      # An empty value is accepted by Compose so Box can remain optional, but
+      # the Box runtime itself fails closed when the profile is started.
      - LANGBOT_BOX_CONTROL_TOKEN=${LANGBOT_BOX_CONTROL_TOKEN:-}
      # Box has its own process-wide blocking-work budget.
      - LANGBOT_BLOCKING_EXECUTOR_MAX_WORKERS=${LANGBOT_BLOCKING_EXECUTOR_MAX_WORKERS:-8}
@@ -78,9 +79,8 @@ services:
      - TZ=Asia/Shanghai
      # Optional. Leave unset on both OSS services, or match plugin Runtime.
      - LANGBOT_PLUGIN_RUNTIME_CONTROL_TOKEN=${LANGBOT_PLUGIN_RUNTIME_CONTROL_TOKEN:-}
-      # When set, this must match langbot_box. If both ends leave it unset,
-      # OSS permits the connection without token authentication. The token is
-      # sent only in WebSocket handshake headers, never in URLs or payloads.
+      # Must match the value supplied to langbot_box. The token is sent only
+      # in WebSocket handshake headers, never in URLs or action payloads.
      - LANGBOT_BOX_CONTROL_TOKEN=${LANGBOT_BOX_CONTROL_TOKEN:-}
      # Core process-wide blocking-work admission. These are native config
      # overrides and are persisted with the effective data/config.yaml.
@@ -1,7 +1,7 @@
 # Kubernetes Deployment for LangBot
 # This file provides Kubernetes deployment manifests for LangBot based on docker-compose.yaml
 #
-# Full deployment guide (zh/en/ja): https://langbot.app/docs -> Installation -> Kubernetes
+# Full deployment guide (zh/en/ja): https://docs.langbot.app -> Installation -> Kubernetes
 #
 # Usage:
 #   kubectl -n langbot create secret generic langbot-plugin-runtime-control \
@@ -88,23 +88,6 @@ Each endpoint accepts **either**:
 1. **User Token** (via `Authorization: Bearer <user_jwt_token>`) - for web UI and authenticated users
 2. **API Key** (via `X-API-Key` or `Authorization: Bearer <api_key>`) - for external services

-### Inspecting API Key Identity
-
-`GET /api/v1/system/context` validates an API key (user JWT not accepted) and returns its bound identity without requiring resource permissions:
-
-```json
-{
-  "code": 0,
-  "msg": "ok",
-  "data": {
-    "instance_uuid": "...",
-    "workspace_uuid": "...",
-    "api_key_id": "...",
-    "permissions": ["..."]
-  }
-}
-```
-
 ## Example: Model Management

 ### List All LLM Models
@@ -218,8 +218,8 @@ metadata:
 spec:
  categories: [popular, global]
  help_links:
-    zh: https://langbot.app/docs/zh/platforms/http-bot
-    en: https://langbot.app/docs/en/platforms/http-bot
+    zh: https://docs.langbot.app/zh/platforms/http-bot
+    en: https://docs.langbot.app/en/platforms/http-bot
  config:
    - { name: inbound_secret,       type: string, required: true,  default: "" }
    - { name: callback_url,         type: string, required: false, default: "" }
@@ -10,19 +10,6 @@ uvx langbot

 This will automatically download and run the latest version of LangBot.

-SeekDB support is optional and is not installed by the command above. If you
-want to use the SeekDB vector database or the built-in SeekDB embedding model,
-run LangBot with the `seekdb` extra:
-
-```bash
-uvx --from 'langbot[seekdb]@latest' langbot
-```
-
-The extra includes native dependencies whose supported operating systems may
-be narrower than LangBot's. In particular, the current Apple Silicon wheels
-require macOS 15 or later. The default Chroma backend does not have this
-requirement.
-
 ## Install with pip/uv

 You can also install LangBot as a regular Python package:
@@ -33,10 +20,6 @@ pip install langbot

 # Using uv
 uv pip install langbot
-
-# Include optional SeekDB support
-pip install 'langbot[seekdb]'
-# or: uv pip install 'langbot[seekdb]'
 ```

 Then run it:
@@ -118,7 +101,7 @@ uvx langbot

 ## System Requirements

- Python 3.11 or higher (lower than Python 4)
+- Python 3.10.1 or higher
 - Operating System: Linux, macOS, or Windows

 ## Differences from Source Installation
@@ -16,20 +16,12 @@ This document describes how to use OceanBase SeekDB as the vector database backe

 ## Installation

-SeekDB is an optional LangBot feature. A normal LangBot installation uses
-Chroma by default and does not install `pyseekdb` or its native bindings.
+SeekDB support is automatically included when you install LangBot. The required dependency `pyseekdb` is listed in `pyproject.toml`.

-Choose the command that matches how you run LangBot:
+If you need to install it manually:

 ```bash
-# PyPI / uvx
-uvx --from 'langbot[seekdb]@latest' langbot
-
-# Installed package
-pip install 'langbot[seekdb]'
-
-# Source checkout
-uv sync --extra seekdb
+pip install pyseekdb
 ```

 ## ⚠️ Platform Compatibility
@@ -38,36 +30,31 @@ uv sync --extra seekdb

 | Platform | Status | Notes |
 |----------|--------|-------|
-| Linux x86_64 / ARM64 | ✅ Supported | Full embedded mode support via `pylibseekdb` |
-| macOS 15+ on Apple Silicon | ✅ Supported | Requires the macOS ARM64 `pylibseekdb` wheel |
-| macOS 14 or earlier on Apple Silicon | ❌ Not currently supported | The published native wheel requires macOS 15+; follow [oceanbase/seekdb#1324](https://github.com/oceanbase/seekdb/issues/1324) |
-| macOS on Intel | ❌ Not currently supported | No embedded binding is selected by `pyseekdb` |
-| Windows | ❌ Not currently supported | No Windows `pylibseekdb` wheel is published |
+| Linux | ✅ Supported | Full embedded mode support via `pylibseekdb` |
+| macOS | ❌ Not Supported | `pylibseekdb` is Linux-only; use server mode instead |
+| Windows | ❌ Not Supported | `pylibseekdb` is Linux-only; use server mode instead |

-**Important**: Embedded mode requires a compatible `pylibseekdb` wheel. Do not
-force-install or retag a wheel built for a newer macOS release: the bundled
-binaries also declare macOS 15 as their minimum deployment target.
+**Important**: Embedded mode requires the `pylibseekdb` library, which is only available on Linux. If you're on macOS or Windows, you must use server mode.

 ### Server Mode (Docker)

 | Platform | Status | Notes |
 |----------|--------|-------|
 | Linux | ✅ Supported | Full Docker support |
-| macOS | ✅ Supported by Docker Desktop | The previous slow-disk startup issue was fixed upstream in [oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36) |
-| Windows | ⚠️ Depends on the container runtime | Use a Linux container and follow the upstream image documentation |
+| macOS | ⚠️ Known Issue | Docker container initialization failure - [See Issue #36](https://github.com/oceanbase/seekdb/issues/36) |
+| Windows | ⚠️ Untested | Should work but not yet tested |
+
+**macOS Users**: Currently, SeekDB Docker containers have an initialization issue on macOS ([oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36)). Until this is resolved, we recommend:
+- Using ChromaDB or Qdrant as alternatives
+- Connecting to a remote SeekDB server on Linux if available

 ### Server Mode (Remote Connection)

 | Platform | Status | Notes |
 |----------|--------|-------|
-| Linux | ✅ Supported | Install the `seekdb` extra and connect to the remote server |
-| macOS 15+ on Apple Silicon | ✅ Supported | Install the `seekdb` extra and connect to the remote server |
-| macOS 14 or earlier on Apple Silicon | ⚠️ Blocked by upstream packaging | `pyseekdb` currently requires the unavailable native wheel even for server-only use; follow [#1324](https://github.com/oceanbase/seekdb/issues/1324) |
-| macOS on Intel / Windows | ✅ Server mode only | Embedded bindings are not available |
+| All Platforms | ✅ Supported | Connect to SeekDB running on a remote Linux server |

-Remote server mode does not use embedded storage at runtime. However, whether
-the Python client can be installed still depends on `pyseekdb`'s package
-metadata for the current platform.
+**Recommendation for macOS/Windows users**: Deploy SeekDB on a Linux server and connect via server mode configuration.

 ## Configuration

@@ -183,23 +170,22 @@ Key methods:

 ### Import Error

-If you see: `SeekDB support is not installed`
+If you see: `ImportError: pyseekdb is not installed`

 Solution:
 ```bash
-uv sync --extra seekdb
-# or: uvx --from 'langbot[seekdb]@latest' langbot
+pip install pyseekdb
 ```

-### Embedded Mode Is Unavailable on the Current Platform
+### Embedded Mode Error on macOS/Windows

 **Error**:
 ```
 RuntimeError: Embedded Client is not available because pylibseekdb is not available.
+Please install pylibseekdb (Linux only) or use RemoteServerClient (host/port) instead.
 ```

-**Cause**: No compatible `pylibseekdb` wheel is installed for the current OS,
-CPU architecture, Python version, and macOS deployment target.
+**Cause**: `pylibseekdb` is only available on Linux platforms.

 **Solution**: Use server mode instead:
 1. Deploy SeekDB on a Linux server or VM
@@ -222,6 +208,29 @@ vdb:
  use: chroma  # or qdrant
 ```

+### Docker Container Fails on macOS
+
+**Symptoms**:
+```bash
+docker run -d -p 2881:2881 oceanbase/seekdb:latest
+# Container exits immediately with code 30
+```
+
+**Error in logs**:
+```
+[ERROR] Code: Agent.SeekDB.Not.Exists
+Message: initialize failed: init agent failed: SeekDB not exists in current directory.
+```
+
+**Cause**: This is a known issue with SeekDB Docker containers on macOS. See [oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36).
+
+**Status**: Under investigation by OceanBase team.
+
+**Workaround Options**:
+1. **Use alternatives**: ChromaDB or Qdrant work perfectly on macOS
+2. **Remote server**: Deploy SeekDB on a Linux server and connect remotely
+3. **Wait for fix**: Monitor the GitHub issue for updates
+
 ### Connection Error (Server Mode)

 If SeekDB server is not reachable, check:
@@ -243,7 +252,7 @@ For large datasets:
 - SeekDB GitHub: https://github.com/oceanbase/seekdb
 - pyseekdb SDK: https://github.com/oceanbase/pyseekdb
 - OceanBase Documentation: https://oceanbase.ai
- LangBot Documentation: https://langbot.app/docs
+- LangBot Documentation: https://docs.langbot.app

 ## License

@@ -6,7 +6,7 @@ Minimal, dependency-light clients for the LangBot **HTTP Bot** platform adapter.
 They show the whole loop: signing a request, pushing a message, and receiving
 multi-part replies on a callback endpoint.

-Full guide: [docs.langbot.app — HTTP Bot](https://langbot.app/docs/en/usage/platforms/http-bot).
+Full guide: [docs.langbot.app — HTTP Bot](https://docs.langbot.app/en/usage/platforms/http-bot).
 Machine-readable contract: [`docs/http-bot-openapi.json`](../../docs/http-bot-openapi.json).

 ## Files
@@ -6,7 +6,7 @@
 它们完整展示了整条链路:对请求签名、推送一条消息、在回调端点接收
 1→M 的多段回复。

-完整指南:[docs.langbot.app —— HTTP Bot](https://langbot.app/docs/zh/usage/platforms/http-bot)。
+完整指南:[docs.langbot.app —— HTTP Bot](https://docs.langbot.app/zh/usage/platforms/http-bot)。
 机器可读的接口契约:[`docs/http-bot-openapi.json`](../../docs/http-bot-openapi.json)。

 ## 文件清单
@@ -6,7 +6,7 @@ A single self-contained HTML page that demos the LangBot **Page Bot**
 (`web_page_bot`) embeddable chat widget — the one you drop onto any website with
 a single `<script>` tag.

-Full guide: [docs.langbot.app — Page Bot](https://langbot.app/docs/en/usage/platforms/webpage).
+Full guide: [docs.langbot.app — Page Bot](https://docs.langbot.app/en/usage/platforms/webpage).

 ## Files

@@ -6,7 +6,7 @@
 (`web_page_bot`) 的可嵌入聊天组件 —— 也就是你用一行 `<script>` 标签就能放到任意
 网站上的那个组件。

-完整指南：[docs.langbot.app —— 页面机器人](https://langbot.app/docs/zh/usage/platforms/webpage)。
+完整指南：[docs.langbot.app —— 页面机器人](https://docs.langbot.app/zh/usage/platforms/webpage)。

 ## 文件清单

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.10.10"
+version = "4.10.7"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -22,6 +22,7 @@ dependencies = [
    "discord-py>=2.5.2",
    "pynacl>=1.5.0", # Required for Discord voice support
    "gewechat-client>=0.1.5",
+    "itchat-uos>=1.5.0.dev",
    "lark-oapi>=1.5.5",
    "mcp>=1.25.0,<2.0.0",
    "nakuru-project-idk>=0.0.2.1",
@@ -70,7 +71,8 @@ dependencies = [
    "langchain-text-splitters>=1.1.2",
    "chromadb>=1.0.0,<2.0.0",
    "qdrant-client (>=1.15.1,<2.0.0)",
-    "langbot-plugin==0.5.7",
+    "pyseekdb==1.1.0.post3",
+    "langbot-plugin @ git+https://github.com/langbot-app/langbot-plugin-sdk.git@7b559da430a50f80a7d30c9d3d66f088503ddbb3",
    "asyncpg>=0.30.0",
    "line-bot-sdk>=3.19.0",
    "matrix-nio>=0.25.2",
@@ -107,14 +109,9 @@ classifiers = [
    "Topic :: Communications :: Chat",
 ]

-[project.optional-dependencies]
-seekdb = [
-    "pyseekdb==1.1.0.post3",
-]
-
 [project.urls]
 Homepage = "https://langbot.app"
-Documentation = "https://langbot.app/docs"
+Documentation = "https://docs.langbot.app"
 Repository = "https://github.com/langbot-app/LangBot"

 [project.scripts]
@@ -1349,8 +1349,7 @@
            "local-agent",
            "tools",
            "e2b",
-            "nsjail",
-            "host"
+            "nsjail"
          ],
          "automation": "",
          "setup_automation": [],
@@ -48,7 +48,7 @@ tools, skill add/edit, and stdio MCP are disabled. Set `box.enabled: false`
 ## Kubernetes

 See `docker/kubernetes.yaml` and the deployment guide at
-https://langbot.app/docs. `docker/deploy-k8s-test.sh` is a test helper.
+https://docs.langbot.app. `docker/deploy-k8s-test.sh` is a test helper.

 ## config.yaml (generated at `data/config.yaml` on first run)

@@ -63,7 +63,7 @@ Key settings:
 | `api.global_api_key` | **Global API key** for the HTTP API + MCP server. Non-empty = accepted with no login/DB record; no `lbk_` prefix required. Empty = disabled. Plaintext — trusted/internal only, serve over HTTPS. |
 | `plugin.runtime_ws_url` | Standalone plugin runtime WS URL (e.g. `ws://langbot_plugin_runtime:5400/control/ws`) |
 | `box.enabled` | Master switch for the Box sandbox runtime |
-| `box.backend` | `local` (Docker/nsjail autopick) / `docker` / `nsjail` / `e2b` / explicit unsafe `host`; env override `BOX__BACKEND` |
+| `box.backend` | `local` (Docker/nsjail autopick) / `docker` / `nsjail` / `e2b`; env override `BOX__BACKEND` |
 | `box.runtime.endpoint` | External Box runtime URL (e.g. `ws://127.0.0.1:5410`); empty = local auto-managed |

 Many keys have `ENV__SUBKEY` overrides (e.g. `BOX__BACKEND`, `BOX__ENABLED`).
@@ -75,10 +75,6 @@ Many keys have `ENV__SUBKEY` overrides (e.g. `BOX__BACKEND`, `BOX__ENABLED`).
  with `--standalone-runtime`.
 - Box has a parallel `--standalone-box` flag; the Docker box host is
  `langbot_box:5410`.
- `box.backend: host` runs commands directly as the Box Runtime system user.
-  It is never auto-selected, provides no sandbox isolation, and is only for
-  trusted local development. A WebSocket-controlled host backend requires
-  `LANGBOT_BOX_CONTROL_TOKEN`; local stdio control is allowed.

 ## Global API key — enabling for agents/automation

@@ -97,7 +93,5 @@ login session. See `langbot-mcp-ops` for using it, and `docs/API_KEY_AUTH.md`.
 - "No supported sandbox backend (Docker / nsjail / E2B)" with Docker running
  usually means the user isn't in the `docker` group →
  `sudo usermod -aG docker <user>` and restart in a new shell.
- Do not use `box.backend: host` as a production fallback. It cannot enforce
-  image, filesystem, network, PID, CPU, memory, or storage isolation.
 - Box root host/container path mismatch breaks sandbox container creation.
 - Don't commit a non-empty `api.global_api_key` to version control.
@@ -43,8 +43,6 @@ Two kinds of key are accepted:
 Invalid, revoked, or expired keys get `401 Unauthorized`. A valid key whose
 scopes do not authorize a tool gets `403 Forbidden`.

-To inspect key identity and permissions, call `GET /api/v1/system/context` with the API key.
-
 ## Client configuration

 ```json
@@ -77,8 +75,6 @@ shape as the corresponding HTTP API request body. Discover resources with the
 `list_*` / `get_*` tools before mutating; identifiers are UUIDs. Reads require
 `resource.view`; mutations require `resource.manage`. All service calls inherit
 the immutable Workspace context authenticated at the MCP transport boundary.
-Pass `is_default: true` to `create_pipeline` only when the Workspace does not
-already have a default pipeline.

 ## How to use

@@ -13,7 +13,6 @@ tags:
  - tools
  - e2b
  - nsjail
-  - host
 skills:
  - langbot-env-setup
  - langbot-testing
@@ -24,7 +23,7 @@ env:
  - LANGBOT_LOCAL_AGENT_PIPELINE_NAME
 preconditions:
  - "LANGBOT_LOCAL_AGENT_PIPELINE_URL or LANGBOT_LOCAL_AGENT_PIPELINE_NAME points to the local-agent pipeline under test."
-  - "LangBot is started with the Box backend intended for this run, such as e2b, nsjail, or explicit host development mode."
+  - "LangBot is started with the sandbox backend intended for this run, such as e2b or nsjail."
  - "The selected model route supports tool/function calling strongly enough to invoke sandbox tools."
 steps:
  - "Start LangBot with the target sandbox backend and confirm the Box status UI or LANGBOT_BACKEND_URL /api/v1/box/status reports the expected backend."
@@ -34,7 +33,7 @@ steps:
 checks:
  - "UI: Debug Chat final assistant response contains E2E_OK:<skill-name>."
  - "Logs: The model called exec, register_skill, activate, then exec again from the activated skill path."
-  - "Logs: The selected backend name is the expected one, such as e2b, nsjail, or host."
+  - "Logs: The selected backend name is the expected one, such as e2b or nsjail."
  - "Skill store: The registered package and activated writeback match references/sandbox-skill-authoring.md."
  - "Box status: recent_error_count is 0 after the run."
 evidence_required:
@@ -4,7 +4,7 @@

 Verify that Local Agent can use sandbox tools to create, register, activate, and use a LangBot skill package through the same path a user would exercise in Debug Chat.

-This flow applies to Docker, nsjail, E2B, and the explicit host development backend. Host runs commands directly as the Box Runtime user and must never be treated as sandbox-isolation coverage. API calls are useful diagnostics, but the primary pass/fail signal is the model-driven Debug Chat tool sequence.
+This flow applies to Docker, nsjail, and E2B backends. API calls are useful diagnostics, but the primary pass/fail signal is the model-driven Debug Chat tool sequence.

 ## Preconditions

@@ -13,7 +13,6 @@ This flow applies to Docker, nsjail, E2B, and the explicit host development back
   - `BOX_BACKEND=e2b` when validating E2B.
   - `BOX_BACKEND=nsjail` when validating nsjail.
   - `BOX_BACKEND=local` or `docker` when validating local container fallback.
-   - `BOX_BACKEND=host` only when validating explicit, trusted local direct execution.
 3. Confirm `/api/v1/box/status` reports `available: true` and the expected backend name.
 4. Confirm Debug Chat uses a model with function-calling ability.
 5. Confirm backend logs say native sandbox tools are available.
@@ -72,7 +71,7 @@ Backend logs should show:
 - `register_skill`
 - `activate`
 - a second `exec` whose workdir is `/workspace/.skills/<skill-name>`
- `backend=e2b`, `backend=nsjail`, `backend=host`, or the expected local backend
+- `backend=e2b`, `backend=nsjail`, or the expected local backend

 After the run, verify the skill store through the UI or API:

@@ -126,8 +125,6 @@ For E2B raw HTTP diagnostics, include a valid template id such as `base`; a miss
 - Session metadata should keep LangBot logical paths such as `/workspace`; storing provider-internal paths can make later requests look incompatible.
 - nsjail versions differ. Some expose only `--disable_clone_new*` flags and use `--bindmount` instead of `--rw_bind`.
 - On WSL, cgroup v2 may exist but not be writable. The backend should warn and fall back to rlimits rather than fail the sandbox.
- The host backend does not honor sandbox image, network, rootfs, process, or
-  resource isolation. Use a disposable workspace and low-privilege account.
 - If `ALL_PROXY` uses a SOCKS URL and `socksio` is not installed, some Python HTTP clients can fail during startup. Prefer consistent HTTP proxy variables unless SOCKS support is installed.

 ## Related Troubleshooting
@@ -3,7 +3,7 @@ title: "Native sandbox tools are unavailable even though a backend is configured
 date: 2026-05-18
 symptoms:
  - "Backend logs show Native sandbox tools (exec/read/write/edit/glob/grep) are NOT available."
-  - "The Box runtime later reports that E2B, nsjail, Docker, or explicit host mode is configured."
+  - "The Box runtime later reports that E2B, nsjail, or Docker is configured."
  - "Debug Chat does not expose exec, register_skill, or activate as usable tools."
 patterns:
  - "Native sandbox tools ... are NOT available"
@@ -19,7 +19,6 @@ fix_steps:
  - "Ensure the Box runtime reselects a backend when get_backend_info is called and the cached backend is empty."
  - "For E2B, verify the key without printing it and confirm any required template setting."
  - "For nsjail, run nsjail --help and confirm the binary is on PATH for the LangBot process."
-  - "For trusted local development only, explicitly set box.backend=host; never use host as a production sandbox fallback."
 verification: "Run sandbox-skill-authoring-e2e. Logs should show Native sandbox tools are available and /api/v1/box/status should report available=true with the expected backend."
 related_cases:
  - sandbox-skill-authoring-e2e
@@ -16,7 +16,7 @@ asciiart = r"""
               |___/              

 ⭐️ Open Source 开源地址: https://github.com/langbot-app/LangBot
-📖 Documentation 文档地址: https://langbot.app/docs
+📖 Documentation 文档地址: https://docs.langbot.app
 """


@@ -1,14 +1,13 @@
 from __future__ import annotations

 import asyncio
-import json
-import os
-import typing
-from pathlib import Path
-
 import httpx
+import typing
+import json

 from .errors import DifyAPIError
+from pathlib import Path
+import os

 _MAX_DIFY_RESPONSE_BYTES = 1024 * 1024
 _MAX_DIFY_SSE_LINE_BYTES = 1024 * 1024
@@ -16,32 +15,6 @@ _MAX_DIFY_STREAM_BYTES = 16 * 1024 * 1024
 _MAX_DIFY_UPLOAD_BYTES = 10 * 1024 * 1024


-def _decode_sse_data(line: bytes) -> dict[str, typing.Any] | None:
-    data = line[5:].strip()
-    if not data or data == b'[DONE]':
-        return None
-    try:
-        payload = json.loads(data.decode('utf-8'))
-    except (json.JSONDecodeError, UnicodeDecodeError) as exc:
-        raise DifyAPIError('Dify SSE data line is not valid JSON') from exc
-    if not isinstance(payload, dict):
-        raise DifyAPIError('Dify SSE event is not a JSON object')
-    return payload
-
-
-def _decode_upload_response(body: bytes) -> dict[str, typing.Any]:
-    try:
-        response = json.loads(body)
-    except (json.JSONDecodeError, UnicodeDecodeError) as exc:
-        raise DifyAPIError('Dify upload response is not valid JSON') from exc
-    if not isinstance(response, dict):
-        raise DifyAPIError('Dify upload response is not a JSON object')
-    payload = response.get('data', response)
-    if not isinstance(payload, dict) or not isinstance(payload.get('id'), str) or not payload['id']:
-        raise DifyAPIError('Dify upload response does not contain a valid file id')
-    return payload
-
-
 async def _read_limited_response(
    response: httpx.Response,
    *,
@@ -83,16 +56,16 @@ async def _iter_sse_json(
            line = raw_line.rstrip(b'\r').strip()
            if not line or not line.startswith(b'data:'):
                continue
-            payload = _decode_sse_data(line)
-            if payload is not None:
+            payload = json.loads(line[5:].decode('utf-8', errors='replace'))
+            if isinstance(payload, dict):
                yield payload
        if len(buffer) > _MAX_DIFY_SSE_LINE_BYTES:
            raise DifyAPIError('Dify SSE event exceeds the runtime limit')

    line = bytes(buffer).rstrip(b'\r').strip()
    if line.startswith(b'data:'):
-        payload = _decode_sse_data(line)
-        if payload is not None:
+        payload = json.loads(line[5:].decode('utf-8', errors='replace'))
+        if isinstance(payload, dict):
            yield payload


@@ -269,7 +242,7 @@ class AsyncDifyServiceClient:
        file: httpx._types.FileTypes,
        user: str,
        timeout: float = 30.0,
-    ) -> dict[str, typing.Any]:
+    ) -> str:
        # 处理 Path 对象
        if isinstance(file, Path):
            if not file.exists():
@@ -298,6 +271,6 @@ class AsyncDifyServiceClient:
            timeout=timeout,
        ) as response:
            body = await _read_limited_response(response)
-            if response.status_code not in (200, 201):
+            if response.status_code != 201:
                raise DifyAPIError(f'{response.status_code} {body.decode(errors="replace")}')
-        return _decode_upload_response(body)
+        return json.loads(body)
@@ -697,10 +697,9 @@ class DingTalkClient:
        if not await self.check_access_token():
            await self.get_access_token()

-        template_params = dict(card_param_map or {})
+        cardData: dict = {'cardParamMap': _stringify_card_param_map(card_param_map)}
        if card_data_config is not None:
-            template_params['config'] = card_data_config
-        cardData: dict = {'cardParamMap': _stringify_card_param_map(template_params)}
+            cardData['config'] = json.dumps(card_data_config)

        body: dict = {
            'cardTemplateId': card_template_id,
@@ -422,69 +422,6 @@ class QQOfficialClient:
                await self.logger.error(f'Failed to send private message: {response_data}')
                raise ValueError(response)

-    async def _send_markdown_msg(
-        self,
-        target_type: str,
-        target_id: str,
-        content: str,
-        msg_id: Optional[str] = None,
-        event_id: Optional[str] = None,
-        msg_seq: int = 1,
-    ) -> None:
-        """Send a Markdown message to a C2C user or QQ group."""
-        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 Markdown target type: {target_type}')
-
-        data: dict[str, Any] = {
-            'msg_type': 2,
-            'markdown': {'content': content},
-            'msg_seq': msg_seq,
-        }
-        if msg_id:
-            data['msg_id'] = msg_id
-        if event_id:
-            data['event_id'] = event_id
-
-        async with self._http_client_context() as client:
-            headers = {
-                'Authorization': f'QQBot {self.access_token}',
-                'Content-Type': 'application/json',
-            }
-            response = await client.post(url, headers=headers, json=data)
-            if response.status_code != 200:
-                response_data = await httpclient.parse_json_response(response)
-                await self.logger.error(f'Failed to send Markdown message: {response_data}')
-                raise ValueError(response)
-
-    async def send_private_markdown_msg(
-        self,
-        user_openid: str,
-        content: str,
-        msg_id: Optional[str] = None,
-        event_id: Optional[str] = None,
-        msg_seq: int = 1,
-    ) -> None:
-        """Send a Markdown C2C message."""
-        await self._send_markdown_msg('c2c', user_openid, content, msg_id, event_id, msg_seq)
-
-    async def send_group_markdown_msg(
-        self,
-        group_openid: str,
-        content: str,
-        msg_id: Optional[str] = None,
-        event_id: Optional[str] = None,
-        msg_seq: int = 1,
-    ) -> None:
-        """Send a Markdown QQ group message."""
-        await self._send_markdown_msg('group', group_openid, content, msg_id, event_id, msg_seq)
-
    async def send_group_text_msg(
        self,
        group_openid: str,
@@ -46,14 +46,6 @@ 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'
-# Media upload protocol (3 steps: init -> chunk * N -> finish). The
-# command names below match the WeCom AI Bot long-connection protocol.
-CMD_UPLOAD_INIT = 'aibot_upload_media_init'
-CMD_UPLOAD_CHUNK = 'aibot_upload_media_chunk'
-CMD_UPLOAD_FINISH = 'aibot_upload_media_finish'
-
-# Default upload chunk size: 512 KB before base64 encoding.
-_UPLOAD_CHUNK_SIZE = 512 * 1024

 _DEDUP_CACHE_MAX = 4096
 _STREAM_CACHE_MAX = 1024
@@ -503,145 +495,6 @@ class WecomBotWsClient:
        body['chatid'] = chat_id
        return await self._send_reply(req_id, body, cmd=CMD_SEND_MSG)

-    # ------------------------------------------------------------------
-    # Media upload (image / voice / file)
-    # ------------------------------------------------------------------
-
-    async def upload_media(
-        self,
-        data: bytes,
-        filename: str = 'attachment',
-        media_type: str = 'file',
-    ) -> Optional[dict]:
-        """Upload *data* to the WeCom AI Bot CDN and return the parsed ACK.
-
-        Implements the three-step protocol documented for the WeCom
-        AI Bot:
-
-        1. ``aibot_upload_media_init`` — declare media type, file name,
-           size, MD5 and chunk count; receive ``upload_id``.
-        2. ``aibot_upload_media_chunk`` — send each chunk (base64-encoded
-           bytes) until done; receive per-chunk ACK.
-        3. ``aibot_upload_media_finish`` — finalize the upload; receive
-           ``media_id``.
-
-        Returns a dict with the final ``media_id`` (and the raw
-        ``finish`` ACK) on success, or ``None`` on any failure. The
-        caller is expected to ignore the result and continue
-        gracefully — the framework will keep working without media
-        delivery.
-        """
-        import base64 as _b64
-        import hashlib as _hl
-
-        if not data:
-            return None
-
-        file_size = len(data)
-        file_md5 = _hl.md5(data).hexdigest()
-        total_chunks = (file_size + _UPLOAD_CHUNK_SIZE - 1) // _UPLOAD_CHUNK_SIZE
-        if total_chunks == 0:
-            total_chunks = 1
-
-        # Step 1: init.
-        init_req_id = _generate_req_id(CMD_UPLOAD_INIT)
-        init_body = {
-            'type': media_type,
-            'filename': filename,
-            'total_size': file_size,
-            'total_chunks': total_chunks,
-            'md5': file_md5,
-        }
-        init_ack = await self._send_reply(
-            init_req_id,
-            init_body,
-            cmd=CMD_UPLOAD_INIT,
-        )
-        if not init_ack or init_ack.get('errcode', 0) != 0:
-            await self.logger.warning(f'upload_media init failed: ack={init_ack!r}')
-            return None
-        upload_id = (
-            init_ack.get('upload_id')
-            or init_ack.get('body', {}).get('upload_id')
-            or init_ack.get('data', {}).get('upload_id')
-        )
-        if not upload_id:
-            await self.logger.warning(f'upload_media init returned no upload_id: ack={init_ack!r}')
-            return None
-
-        # Step 2: chunks.
-        for index in range(total_chunks):
-            start = index * _UPLOAD_CHUNK_SIZE
-            end = min(start + _UPLOAD_CHUNK_SIZE, file_size)
-            chunk_bytes = data[start:end]
-            chunk_req_id = _generate_req_id(CMD_UPLOAD_CHUNK)
-            chunk_body = {
-                'upload_id': upload_id,
-                'chunk_index': index,
-                'base64_data': _b64.b64encode(chunk_bytes).decode('ascii'),
-            }
-            chunk_ack = await self._send_reply(
-                chunk_req_id,
-                chunk_body,
-                cmd=CMD_UPLOAD_CHUNK,
-            )
-            if not chunk_ack or chunk_ack.get('errcode', 0) != 0:
-                await self.logger.warning(f'upload_media chunk {index} failed: ack={chunk_ack!r}')
-                return None
-
-        # Step 3: finish.
-        finish_req_id = _generate_req_id(CMD_UPLOAD_FINISH)
-        finish_body = {'upload_id': upload_id}
-        finish_ack = await self._send_reply(
-            finish_req_id,
-            finish_body,
-            cmd=CMD_UPLOAD_FINISH,
-        )
-        if not finish_ack or finish_ack.get('errcode', 0) != 0:
-            await self.logger.warning(f'upload_media finish failed: ack={finish_ack!r}')
-            return None
-
-        media_id = (
-            finish_ack.get('media_id')
-            or finish_ack.get('body', {}).get('media_id')
-            or finish_ack.get('data', {}).get('media_id')
-        )
-        if not media_id:
-            await self.logger.warning(f'upload_media finish returned no media_id: ack={finish_ack!r}')
-            return None
-        return {'media_id': media_id, 'ack': finish_ack}
-
-    async def _reply_media(
-        self,
-        req_id: str,
-        media_id: str,
-        kind: str,
-    ) -> Optional[dict]:
-        """Send a media reply (image / voice / file) referencing *media_id*.
-
-        ``kind`` is one of ``'image'``, ``'voice'``, ``'file'``. Uses
-        the standard ``aibot_respond_msg`` command with a per-kind
-        body key (matches the convention documented for the WeCom
-        AI Bot SDK).
-        """
-        if kind not in {'image', 'voice', 'file'}:
-            await self.logger.warning(f'_reply_media called with unknown kind={kind!r}')
-            return None
-        body = {
-            'msgtype': kind,
-            kind: {'media_id': media_id},
-        }
-        return await self._send_reply(req_id, body, cmd=CMD_RESPOND_MSG)
-
-    async def reply_image(self, req_id: str, media_id: str) -> Optional[dict]:
-        return await self._reply_media(req_id, media_id, 'image')
-
-    async def reply_file(self, req_id: str, media_id: str) -> Optional[dict]:
-        return await self._reply_media(req_id, media_id, 'file')
-
-    async def reply_voice(self, req_id: str, media_id: str) -> Optional[dict]:
-        return await self._reply_media(req_id, media_id, 'voice')
-
    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.

@@ -936,13 +789,6 @@ class WecomBotWsClient:
                    'chat_type': message_data.get('type', 'single'),
                }
                self._prune_stream_state()
-                # Send an initial empty stream frame so the WeCom client
-                # shows its built-in loading spinner while the pipeline
-                # processes the message (e.g. RAG retrieval).
-                try:
-                    await self.reply_stream(req_id, stream_id, '', finish=False)
-                except Exception:
-                    await self.logger.warning(f'Failed to send initial stream frame: {traceback.format_exc()}')
            message_data['stream_id'] = stream_id
            message_data['req_id'] = req_id

@@ -295,34 +295,6 @@ class WecomCSClient:
                raise Exception('Failed to send message')
            return data

-    @_bounded_token_retry
-    async def send_image_msg(self, open_kfid: str, external_userid: str, msgid: str, media_id: str):
-        if not await self.check_access_token():
-            self.access_token = await self.get_access_token(self.secret)
-
-        url = f'{self.base_url}/kf/send_msg?access_token={self.access_token}'
-        payload = {
-            'touser': external_userid,
-            'open_kfid': open_kfid,
-            'msgid': msgid,
-            'msgtype': 'image',
-            'image': {
-                'media_id': media_id,
-            },
-        }
-
-        async with self._http_client_context() as client:
-            response = await client.post(url, json=payload)
-
-            data = await httpclient.parse_json_response(response)
-            if data['errcode'] == 40014 or data['errcode'] == 42001:
-                self.access_token = await self.get_access_token(self.secret)
-                return await self.send_image_msg(open_kfid, external_userid, msgid, media_id)
-            if data['errcode'] != 0:
-                await self.logger.error(f'发送图片失败：{data}')
-                raise Exception('Failed to send image message')
-            return data
-
    async def handle_callback_request(self):
        """处理回调请求（独立端口模式，使用全局 request）。"""
        return await self._handle_callback_internal(request)
@@ -218,7 +218,6 @@ class MonitoringRouterGroup(group.RouterGroup):
            pipeline_ids = quart.request.args.getlist('pipelineId')
            start_time_str = quart.request.args.get('startTime')
            end_time_str = quart.request.args.get('endTime')
-            user_query = quart.request.args.get('userQuery')
            is_active_str = quart.request.args.get('isActive')
            limit = int(quart.request.args.get('limit', 100))
            offset = int(quart.request.args.get('offset', 0))
@@ -238,7 +237,6 @@ class MonitoringRouterGroup(group.RouterGroup):
                pipeline_ids=pipeline_ids if pipeline_ids else None,
                start_time=start_time,
                end_time=end_time,
-                user_query=user_query,
                is_active=is_active,
                limit=limit,
                offset=offset,
@@ -398,14 +396,7 @@ class MonitoringRouterGroup(group.RouterGroup):
        @self.route('/sessions/<session_id>/analysis', methods=['GET'], permission=Permission.RESOURCE_VIEW)
        async def get_session_analysis(session_id: str, request_context: RequestContext) -> str:
            """Get detailed analysis for a specific session"""
-            start_time = parse_iso_datetime(quart.request.args.get('startTime'))
-            end_time = parse_iso_datetime(quart.request.args.get('endTime'))
-            analysis = await self.ap.monitoring_service.get_session_analysis(
-                request_context,
-                session_id,
-                start_time=start_time,
-                end_time=end_time,
-            )
+            analysis = await self.ap.monitoring_service.get_session_analysis(request_context, session_id)

            # Always return success with the analysis data
            # The frontend will handle the 'found: false' case
@@ -39,13 +39,7 @@ class PipelinesRouterGroup(group.RouterGroup):
            permission=Permission.RESOURCE_MANAGE,
        )
        async def _(request_context: RequestContext) -> str:
-            pipeline_data = await quart.request.json
-            create_as_default = pipeline_data.get('is_default') is True
-            pipeline_uuid = await self.ap.pipeline_service.create_pipeline(
-                request_context,
-                pipeline_data,
-                default=create_as_default,
-            )
+            pipeline_uuid = await self.ap.pipeline_service.create_pipeline(request_context, await quart.request.json)
            return self.success(data={'uuid': pipeline_uuid})

        @self.route(
@@ -1,6 +1,7 @@
 import asyncio
 import dataclasses
 import mimetypes
+import os

 import quart

@@ -1133,3 +1134,224 @@ class AdaptersRouterGroup(group.RouterGroup):
            if session and session.get('task') and not session['task'].done():
                session['task'].cancel()
            return self.success(data={})
+
+        # -----------------------------------------------------------------------
+        # Itchat WeChat QR Code Login
+        # -----------------------------------------------------------------------
+
+        _itchat_login_sessions: dict = {}
+        _ITCHAT_SESSION_TTL = 600  # 10 minutes (allows multiple QR regenerations)
+
+        def _cleanup_expired_itchat_sessions():
+            import time
+
+            now = time.time()
+            expired = [
+                sid for sid, s in _itchat_login_sessions.items() if now - s.get('created_at', 0) > _ITCHAT_SESSION_TTL
+            ]
+            for sid in expired:
+                session = _itchat_login_sessions.pop(sid, None)
+                if session:
+                    core = session.get('core')
+                    if core:
+                        try:
+                            core.alive = False
+                            core.isLogging = False
+                        except Exception:
+                            pass
+
+        @self.route('/itchat/login', methods=['POST'])
+        async def _() -> str:
+            """Start itchat WeChat QR code login. Returns session_id + QR code data URL."""
+            import uuid
+            import time
+            import base64
+            import threading
+
+            _cleanup_expired_itchat_sessions()
+
+            session_id = str(uuid.uuid4())
+            loop = asyncio.get_running_loop()
+            status_dir = os.path.join('data', 'itchat')
+            os.makedirs(status_dir, exist_ok=True)
+            qr_path = os.path.join(status_dir, f'{session_id}-QR.png')
+
+            session = {
+                'status': 'pending',
+                'qr_data_url': None,
+                'expire_at': None,
+                'nickname': None,
+                'error': None,
+                'created_at': time.time(),
+                'thread': None,
+                'logged_in': threading.Event(),
+                'core': None,
+            }
+            _itchat_login_sessions[session_id] = session
+
+            def _run_itchat_login():
+                try:
+                    from itchat.core import Core
+                    from itchat.content import TEXT as _TEXT
+                    from langbot.pkg.platform.sources.itchat import ItchatAdapter
+
+                    for f in (qr_path,):
+                        try:
+                            os.remove(f)
+                        except OSError:
+                            pass
+
+                    _core = Core()
+                    session['core'] = _core
+
+                    def on_login():
+                        try:
+                            _core.get_friends(update=True)
+                            user_info = _core.loginInfo.get('User', {})
+                            nick = ItchatAdapter._get_obj_value(user_info, 'NickName', 'unknown')
+                            wxid = ItchatAdapter._get_obj_value(user_info, 'UserName')
+                        except Exception:
+                            nick = 'unknown'
+                            wxid = ''
+                        session['nickname'] = nick
+                        session['wxid'] = wxid
+                        print(f'[itchat-login] Login success: {nick}', flush=True)
+                        # Dump login status so the adapter can hot-reload it
+                        try:
+                            if not wxid:
+                                raise ValueError('Unable to detect WeChat wxid after login')
+                            account_status_path = ItchatAdapter.login_status_path_for_account(wxid)
+                            _core.dump_login_status(account_status_path)
+                            session['login_status_path'] = account_status_path
+                            session['status'] = 'success'
+                            print(f'[itchat-login] Session saved to {account_status_path}', flush=True)
+                        except Exception as e:
+                            session['status'] = 'error'
+                            session['error'] = str(e)
+                            print(f'[itchat-login] Failed to save session: {e}', flush=True)
+                        finally:
+                            session['logged_in'].set()
+                        # Stop the message loop - we only needed the session for QR login
+                        _core.alive = False
+
+                    def on_qr(**kwargs):
+                        qr_bytes = kwargs.get('qrcode', b'')
+                        status = kwargs.get('status', '')
+                        print(f'[itchat-login] QR callback: status={status}, bytes={len(qr_bytes)}', flush=True)
+                        if status == '200':
+                            return
+                        # Only update QR image on new QR generation (status='0')
+                        # or when status changes to '408' (timeout, QR may refresh)
+                        if qr_bytes and status == '0':
+                            b64 = base64.b64encode(qr_bytes).decode('utf-8')
+
+                            def _update():
+                                session['qr_data_url'] = f'data:image/png;base64,{b64}'
+                                session['expire_at'] = time.time() + 120
+                                session['status'] = 'waiting'
+
+                            loop.call_soon_threadsafe(_update)
+
+                    # Register a dummy text handler
+                    @_core.msg_register([_TEXT])
+                    def _dummy(msg):
+                        pass
+
+                    print('[itchat-login] Step 3: Calling auto_login...', flush=True)
+                    _core.auto_login(
+                        hotReload=False,
+                        loginCallback=on_login,
+                        qrCallback=on_qr,
+                    )
+                    print('[itchat-login] Step 4: auto_login returned, starting run...', flush=True)
+                    _core.run(blockThread=True)
+                    print('[itchat-login] Step 5: run() returned', flush=True)
+                except SystemExit as e:
+                    print(f'[itchat-login] SystemExit: {e}', flush=True)
+                    session['status'] = 'error'
+                    session['error'] = f'itchat exited: {e}'
+                    session['logged_in'].set()
+                except Exception as e:
+                    import traceback
+
+                    print(f'[itchat-login] Exception: {traceback.format_exc()}', flush=True)
+                    session['status'] = 'error'
+                    session['error'] = str(e)
+                    session['logged_in'].set()
+
+            t = threading.Thread(target=_run_itchat_login, daemon=True)
+            t.start()
+            session['thread'] = t
+
+            # Wait for QR code to be ready (max 15 seconds)
+            for _ in range(30):
+                if session['qr_data_url'] or session['error'] or session['status'] == 'success':
+                    break
+                await asyncio.sleep(0.5)
+
+            if session['error']:
+                return self.http_status(502, -1, session['error'])
+
+            if session['status'] == 'success':
+                return self.success(
+                    data={
+                        'session_id': session_id,
+                        'status': 'success',
+                        'nickname': session['nickname'],
+                        'wxid': session.get('wxid', ''),
+                    }
+                )
+
+            if not session['qr_data_url']:
+                session['status'] = 'error'
+                session['error'] = 'Timeout waiting for QR code'
+                return self.http_status(504, -1, 'Timeout waiting for QR code')
+
+            return self.success(
+                data={
+                    'session_id': session_id,
+                    'qr_data_url': session['qr_data_url'],
+                    'expire_at': session['expire_at'],
+                }
+            )
+
+        @self.route('/itchat/login/status/<session_id>', methods=['GET'])
+        async def _(session_id: str) -> str:
+            """Poll itchat login status."""
+            session = _itchat_login_sessions.get(session_id)
+            if not session:
+                return self.http_status(404, -1, 'Session not found')
+
+            data = {
+                'status': session['status'],
+                'qr_data_url': session['qr_data_url'],
+                'expire_at': session['expire_at'],
+            }
+
+            if session['status'] == 'success':
+                data['nickname'] = session.get('nickname', '')
+                data['wxid'] = session.get('wxid', '')
+                _itchat_login_sessions.pop(session_id, None)
+            elif session['status'] == 'error':
+                data['error'] = session['error']
+                _itchat_login_sessions.pop(session_id, None)
+
+            return self.success(data=data)
+
+        @self.route('/itchat/login/<session_id>', methods=['DELETE'])
+        async def _(session_id: str) -> str:
+            """Cancel and clean up an itchat login session."""
+            session = _itchat_login_sessions.pop(session_id, None)
+            if session:
+                core = session.get('core')
+                if core:
+                    try:
+                        core.alive = False
+                        core.isLogging = False
+                    except Exception:
+                        pass
+                thread = session.get('thread')
+                if thread and thread.is_alive():
+                    # Thread is daemon, will die with the process
+                    pass
+            return self.success(data={})
@@ -113,24 +113,6 @@ class BotsRouterGroup(group.RouterGroup):
            )
            return self.success(data={'sent': True})

-        @self.route(
-            '/<bot_uuid>/test-inbound',
-            methods=['POST'],
-            auth_type=group.AuthType.USER_TOKEN,
-            permission=Permission.RESOURCE_MANAGE,
-        )
-        async def _(bot_uuid: str, request_context: RequestContext) -> str:
-            json_data = await quart.request.get_json(silent=True) or {}
-            try:
-                result = await self.ap.bot_service.send_http_bot_test_message(
-                    request_context,
-                    bot_uuid,
-                    str(json_data.get('message') or ''),
-                )
-            except ValueError as exc:
-                return self.http_status(400, -1, str(exc))
-            return self.success(data=result)
-
        @self.route(
            '/<bot_uuid>/admins',
            methods=['GET'],
@@ -12,44 +12,9 @@ from .....provider.tools.loaders.mcp_policy import stdio_mcp_enabled
 from .....workspace.invitation_delivery import InvitationDeliveryService


-SYSTEM_CAPABILITY_OPERATIONS = (
-    'bot.list',
-    'bot.get',
-    'bot.create',
-    'bot.update',
-    'bot.delete',
-    'pipeline.list',
-    'pipeline.get',
-    'pipeline.create',
-    'pipeline.update',
-    'pipeline.delete',
-    'pipeline.copy',
-)
-
-
@group.group_class('system', '/api/v1/system')
 class SystemRouterGroup(group.RouterGroup):
    async def initialize(self) -> None:
-        @self.route('/context', methods=['GET'], auth_type=group.AuthType.API_KEY)
-        async def _(request_context: RequestContext) -> str:
-            return self.success(
-                data={
-                    'instance_uuid': request_context.instance_uuid,
-                    'workspace_uuid': request_context.workspace_uuid,
-                    'api_key_id': request_context.principal.api_key_uuid,
-                    'permissions': sorted(request_context.workspace.permissions),
-                }
-            )
-
-        @self.route('/capabilities', methods=['GET'], auth_type=group.AuthType.API_KEY)
-        async def _() -> str:
-            return self.success(
-                data={
-                    'schema_version': 1,
-                    'operations': {operation: {'supported': True} for operation in SYSTEM_CAPABILITY_OPERATIONS},
-                }
-            )
-
        @self.route('/info', methods=['GET'], auth_type=group.AuthType.NONE)
        async def _() -> str:
            # Read wizard_status and wizard_progress from metadata table
@@ -241,20 +206,6 @@ class SystemRouterGroup(group.RouterGroup):

            return self.success(data={})

-        @self.route(
-            '/wizard/recommended-model',
-            methods=['GET'],
-            auth_type=group.AuthType.USER_TOKEN,
-            permission=Permission.RESOURCE_MANAGE,
-        )
-        async def _(request_context: RequestContext) -> str:
-            """Resolve Space's best available chat model to this Workspace."""
-            try:
-                model = await self.ap.space_service.get_recommended_chat_model(request_context)
-            except ValueError as exc:
-                return self.http_status(503, -1, str(exc))
-            return self.success(data=model)
-
        @self.route(
            '/tasks',
            methods=['GET'],
@@ -14,6 +14,13 @@ from ...service.user import ControlPlaneDirectoryRequiredError, PublicRegistrati

@group.group_class('user', '/api/v1/user')
 class UserRouterGroup(group.RouterGroup):
+    @staticmethod
+    def _origin(value: str) -> tuple[str, str, int | None] | None:
+        parsed = urlsplit(value)
+        if parsed.scheme not in {'http', 'https'} or not parsed.hostname:
+            return None
+        return parsed.scheme, parsed.hostname.casefold(), parsed.port
+
    def _validate_space_redirect_uri(self, redirect_uri: str, *, bind: bool) -> str:
        parsed = urlsplit(redirect_uri)
        if (
@@ -31,8 +38,17 @@ class UserRouterGroup(group.RouterGroup):
            if query != {'mode': ['bind']}:
                raise ValueError('Invalid Space binding redirect_uri')
        elif query:
-            raise ValueError('Invalid LangBot Account login redirect_uri')
+            raise ValueError('Invalid Space login redirect_uri')

+        redirect_origin = self._origin(redirect_uri)
+        api_config = self.ap.instance_config.data.get('api', {})
+        trusted_origins = {
+            self._origin(str(api_config.get(config_key, '') or '').strip())
+            for config_key in ('webui_url', 'webhook_prefix')
+        }
+        trusted_origins.discard(None)
+        if redirect_origin not in trusted_origins:
+            raise ValueError('Untrusted redirect_uri origin')
        return redirect_uri

    async def initialize(self) -> None:
@@ -186,9 +202,6 @@ class UserRouterGroup(group.RouterGroup):
            json_data = await quart.request.json
            code = json_data.get('code')
            state = json_data.get('state')
-            redirect_uri = json_data.get('redirect_uri') or (
-                quart.request.url_root.rstrip('/') + '/auth/space/callback'
-            )
            launch_assertion = json_data.get('launch_assertion')
            workspace_uuid = json_data.get('workspace_uuid')

@@ -202,11 +215,8 @@ class UserRouterGroup(group.RouterGroup):
                return self.fail(1, 'Missing authorization code')
            if not state:
                return self.fail(1, 'Missing state parameter')
-            if not str(code).startswith('v4_'):
-                return self.fail(1, 'Unsupported Space OAuth code contract')

            try:
-                redirect_uri = self._validate_space_redirect_uri(str(redirect_uri), bind=False)
                consumed_state = await self.ap.user_service.consume_space_oauth_state_details(state, 'login')
                # Exchange code for tokens
                launch_workspace_uuid = consumed_state.launch_workspace_uuid
@@ -224,36 +234,24 @@ class UserRouterGroup(group.RouterGroup):
                    code,
                    workspace_uuids,
                    workspace_created_ats,
-                    redirect_uri=redirect_uri,
                )
                access_token = token_data.get('access_token')
                refresh_token = token_data.get('refresh_token')
                expires_in = token_data.get('expires_in', 0)
-                cloud_workspace_uuid = token_data.get('cloud_workspace_uuid')

                if not access_token:
                    return self.fail(1, 'Failed to get access token from Space')

-                cloud_mode = getattr(getattr(self.ap, 'deployment', None), 'mode', 'oss') == 'cloud'
-                if cloud_mode and launch_workspace_uuid and launch_workspace_uuid != cloud_workspace_uuid:
-                    return self.fail(1, 'Space OAuth Workspace binding mismatch')
-                target_workspace_uuid = launch_workspace_uuid or cloud_workspace_uuid
-                if cloud_mode:
-                    if not target_workspace_uuid:
-                        return self.fail(1, 'Space OAuth response is missing the Cloud Workspace binding')
-                    await self.ap.directory_projection_service.reconcile_workspaces((target_workspace_uuid,))
-
-                # Authenticate only after the signed, exact Workspace delta has
-                # established the Account and membership runtime shadow rows.
+                # Authenticate and create/update local user
                jwt_token, user_obj = await self.ap.user_service.authenticate_space_user(
                    access_token, refresh_token, expires_in
                )

-                if target_workspace_uuid:
+                if launch_workspace_uuid:
                    try:
                        access = await self.ap.workspace_collaboration_service.resolve_account_workspace(
                            user_obj.uuid,
-                            target_workspace_uuid,
+                            launch_workspace_uuid,
                        )
                    except Exception:
                        self.ap.logger.warning('Rejected Space OAuth launch for unauthorized Workspace')
@@ -340,7 +338,6 @@ class UserRouterGroup(group.RouterGroup):
            if cloud_mode:
                capabilities['password_login_enabled'] = False
            capabilities['authenticated_invitation_acceptance_enabled'] = cloud_mode
-            capabilities['invitation_registration_enabled'] = not cloud_mode
            return self.success(data={'initialized': True, **capabilities})

        @self.route('/set-password', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
@@ -385,17 +382,12 @@ class UserRouterGroup(group.RouterGroup):
            json_data = await quart.request.json
            code = json_data.get('code')
            state = json_data.get('state')
-            redirect_uri = json_data.get('redirect_uri') or (
-                quart.request.url_root.rstrip('/') + '/auth/space/callback?mode=bind'
-            )

            if not code:
                return self.http_status(400, -1, 'Missing authorization code')

            if not state:
                return self.http_status(400, -1, 'Missing state parameter')
-            if not str(code).startswith('v4_'):
-                return self.http_status(400, -1, 'Unsupported Space OAuth code contract')

            try:
                user_obj = await self.ap.user_service.consume_space_oauth_state(state, 'bind')
@@ -408,10 +400,7 @@ class UserRouterGroup(group.RouterGroup):
                return self.http_status(400, -1, 'Only local accounts can bind to Space')

            try:
-                redirect_uri = self._validate_space_redirect_uri(str(redirect_uri), bind=True)
-                updated_user = await self.ap.user_service.bind_space_account(
-                    user_obj.user, code, redirect_uri=redirect_uri
-                )
+                updated_user = await self.ap.user_service.bind_space_account(user_obj.user, code)
                jwt_token = await self.ap.user_service.generate_jwt_token(updated_user)
                return self.success(
                    data={
@@ -427,7 +416,7 @@ class UserRouterGroup(group.RouterGroup):
                    'Bind the LangBot Account with the same email as this local Account',
                )
            except ValueError:
-                return self.http_status(400, -1, 'LangBot Account binding failed')
+                return self.http_status(400, -1, 'Space account binding failed')
            except Exception:
                raise

@@ -454,10 +443,6 @@ class UserRouterGroup(group.RouterGroup):
                    }
                )

-            projection_service = self.ap.directory_projection_service
-            if projection_service is None:
-                raise SpaceLaunchError('Cloud directory projection is unavailable')
-            await projection_service.reconcile_workspaces((launch['workspace_uuid'],))
            account = await self.ap.user_service.get_user_by_uuid(launch['account_uuid'])
            if account is None:
                raise SpaceLaunchError('Launch Account is not projected into Core')
@@ -1,7 +1,6 @@
 from __future__ import annotations

 import uuid
-import json
 import sqlalchemy

 from ....core import app
@@ -9,8 +8,6 @@ from ....entity.persistence import bot as persistence_bot
 from ....entity.persistence import pipeline as persistence_pipeline
 from ....workspace.errors import WorkspaceNotFoundError
 from .tenant import TenantContext, require_workspace_uuid, scope_statement
-from ....utils import httpclient
-from ....platform.sources import http_bot_signing


 class BotService:
@@ -72,6 +69,8 @@ class BotService:
        runtime_bot = await self.ap.platform_mgr.get_bot_by_uuid(context, bot_uuid)
        if runtime_bot is not None:
            adapter_runtime_values['bot_account_id'] = runtime_bot.adapter.bot_account_id
+            if hasattr(runtime_bot.adapter, 'get_runtime_status'):
+                adapter_runtime_values['runtime_status'] = runtime_bot.adapter.get_runtime_status()

        # Webhook URL for unified webhook adapters (independent of bot running state)
        if persistence_bot['adapter'] in [
@@ -83,7 +82,6 @@ class BotService:
            'wecomcs',
            'LINE',
            'lark',
-            'http_bot',
        ]:
            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', '')
@@ -137,16 +135,7 @@ class BotService:

        bot = await self.get_bot(context, bot_data['uuid'], include_secret=True)

-        try:
-            await self.ap.platform_mgr.load_bot(context, bot)
-        except Exception:
-            # The bot row was already inserted above; without this rollback a
-            # failing adapter constructor (e.g. a missing optional credential
-            # key) would leave a permanently disabled orphan bot in the DB.
-            await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.delete(persistence_bot.Bot).where(persistence_bot.Bot.uuid == bot_data['uuid'])
-            )
-            raise
+        await self.ap.platform_mgr.load_bot(context, bot)

        return bot_data['uuid']

@@ -229,53 +218,6 @@ class BotService:

        return [log.to_json() for log in logs], total_count

-    async def send_http_bot_test_message(
-        self,
-        context: TenantContext,
-        bot_uuid: str,
-        message: str,
-    ) -> dict:
-        """Send a signed test message through the HTTP Bot public ingress."""
-        bot = await self.get_bot(context, bot_uuid, include_secret=True)
-        if bot is None:
-            raise WorkspaceNotFoundError('Bot not found')
-        if bot.get('adapter') != 'http_bot':
-            raise ValueError('Inbound test is only available for HTTP Bot')
-        if not bot.get('enable'):
-            raise ValueError('Bot must be enabled before sending a test message')
-
-        text = message.strip()
-        if not text or len(text) > 2000:
-            raise ValueError('Test message must contain 1 to 2000 characters')
-
-        payload = {
-            'session_id': f'wizard-{uuid.uuid4().hex}',
-            'sender': {'id': 'wizard-user', 'name': 'Wizard Test'},
-            'message': [{'type': 'Plain', 'text': text}],
-        }
-        body = json.dumps(payload, ensure_ascii=False, separators=(',', ':')).encode()
-        config = bot.get('adapter_config') or {}
-        headers = {'Content-Type': 'application/json'}
-        if config.get('signature_required', True):
-            secret = str(config.get('inbound_secret') or '')
-            if not secret:
-                raise ValueError('HTTP Bot inbound signing secret is required')
-            timestamp, signature = http_bot_signing.sign(secret, body)
-            headers[http_bot_signing.HEADER_TIMESTAMP] = timestamp
-            headers[http_bot_signing.HEADER_SIGNATURE] = signature
-
-        port = int(self.ap.instance_config.data.get('api', {}).get('port', 5300))
-        session = httpclient.get_session()
-        async with session.post(
-            f'http://127.0.0.1:{port}/bots/{bot_uuid}',
-            data=body,
-            headers=headers,
-        ) as response:
-            result = await httpclient.read_json_limited(response)
-            if response.status not in {200, 202}:
-                raise ValueError(result.get('msg') or f'HTTP Bot test failed with status {response.status}')
-            return result.get('data') or {}
-
    async def send_message(
        self,
        context: TenantContext,
@@ -1257,7 +1257,6 @@ class MonitoringService:
        pipeline_ids: list[str] | None = None,
        start_time: datetime.datetime | None = None,
        end_time: datetime.datetime | None = None,
-        user_query: str | None = None,
        is_active: bool | None = None,
        limit: int = 100,
        offset: int = 0,
@@ -1275,14 +1274,6 @@ class MonitoringService:
            conditions.append(persistence_monitoring.MonitoringSession.start_time >= start_time)
        if end_time:
            conditions.append(persistence_monitoring.MonitoringSession.start_time <= end_time)
-        if user_query and user_query.strip():
-            user_pattern = f'%{user_query.strip()}%'
-            conditions.append(
-                sqlalchemy.or_(
-                    persistence_monitoring.MonitoringSession.user_id.ilike(user_pattern),
-                    persistence_monitoring.MonitoringSession.user_name.ilike(user_pattern),
-                )
-            )
        if is_active is not None:
            conditions.append(persistence_monitoring.MonitoringSession.is_active == is_active)

@@ -1374,8 +1365,6 @@ class MonitoringService:
        self,
        context: TenantContext,
        session_id: str,
-        start_time: datetime.datetime | None = None,
-        end_time: datetime.datetime | None = None,
    ) -> dict:
        """Get bounded session details with full statistics computed in SQL."""
        workspace_uuid = require_workspace_uuid(context)
@@ -1489,17 +1478,12 @@ class MonitoringService:
            )
        )
        tool_stats = tool_stats_result.one()
-        tool_conditions = [
-            persistence_monitoring.MonitoringToolCall.workspace_uuid == workspace_uuid,
-            persistence_monitoring.MonitoringToolCall.session_id == session_id,
-        ]
-        if start_time is not None:
-            tool_conditions.append(persistence_monitoring.MonitoringToolCall.timestamp >= start_time)
-        if end_time is not None:
-            tool_conditions.append(persistence_monitoring.MonitoringToolCall.timestamp <= end_time)
        tool_query = (
            sqlalchemy.select(persistence_monitoring.MonitoringToolCall)
-            .where(*tool_conditions)
+            .where(
+                persistence_monitoring.MonitoringToolCall.workspace_uuid == workspace_uuid,
+                persistence_monitoring.MonitoringToolCall.session_id == session_id,
+            )
            .order_by(persistence_monitoring.MonitoringToolCall.timestamp.asc())
            .limit(detail_limit + 1)
        )
@@ -11,9 +11,6 @@ import sqlalchemy
 from ....core import app
 from ....entity.persistence import user
 from ....entity.dto.space_model import SpaceModel
-from ....entity.dto.space_model import SpaceModelSelection
-from ....entity.persistence import model as persistence_model
-from ....cloud.model_catalog import LANGBOT_MODELS_PROVIDER_REQUESTER


 _CREDITS_CACHE_TTL_SECONDS = 60
@@ -119,7 +116,7 @@ class SpaceService:

        space_config = self._get_space_config()
        authorize_url = space_config['oauth_authorize_url']
-        params = {'redirect_uri': redirect_uri, 'code_contract': 'redirect-v1'}
+        params = {'redirect_uri': redirect_uri}
        if state:
            params['state'] = state
        return f'{authorize_url}?{urlencode(params)}'
@@ -129,8 +126,6 @@ class SpaceService:
        code: str,
        workspace_uuids: list[str] | None = None,
        workspace_created_ats: dict[str, int] | None = None,
-        *,
-        redirect_uri: str = '',
    ) -> typing.Dict:
        """Exchange OAuth authorization code for tokens"""
        from langbot.pkg.utils import constants
@@ -143,7 +138,6 @@ class SpaceService:
            f'{space_url}/api/v1/accounts/oauth/token',
            json={
                'code': code,
-                'redirect_uri': redirect_uri,
                'instance_id': constants.instance_id,
                # Sending an explicit empty list tells new Space servers not to
                # synthesize a legacy instance-derived Workspace binding.
@@ -244,76 +238,3 @@ class SpaceService:
                raise ValueError(f'Failed to get models: {data.get("msg")}')
            models_data = data.get('data', {}).get('models', [])
            return [SpaceModel.model_validate(model_dict) for model_dict in models_data]
-
-    async def get_model_selection(self, category: str) -> typing.List[SpaceModelSelection]:
-        """Return Space models in the availability-ranked selection order."""
-        space_url = self._get_space_config()['url']
-        session = httpclient.get_session()
-        async with session.get(
-            f'{space_url}/api/v1/models/selection',
-            params={'category': category},
-        ) as response:
-            if response.status != 200:
-                error = await httpclient.read_text_limited(response)
-                raise ValueError(f'Failed to get model selection: {error}')
-            payload = await httpclient.read_json_limited(response)
-            if payload.get('code') != 0:
-                raise ValueError(f'Failed to get model selection: {payload.get("msg")}')
-
-            data = payload.get('data', [])
-            if isinstance(data, dict):
-                data = data.get('models', data.get('items', []))
-            if not isinstance(data, list):
-                raise ValueError('Failed to get model selection: invalid response')
-
-            models = []
-            for selection in data:
-                if isinstance(selection, dict) and isinstance(selection.get('model'), dict):
-                    models.append(selection['model'])
-                else:
-                    models.append(selection)
-            return [SpaceModelSelection.model_validate(model) for model in models]
-
-    async def get_recommended_chat_model(self, context: typing.Any) -> dict:
-        """Resolve Space's first ranked chat model to a local Workspace model."""
-        selection = await self.get_model_selection('chat')
-        if not selection:
-            raise ValueError('No recommended chat model is available')
-        recommended = selection[0]
-
-        async def find_local_model():
-            result = await self.ap.persistence_mgr.execute_async(
-                sqlalchemy.select(persistence_model.LLMModel)
-                .join(
-                    persistence_model.ModelProvider,
-                    sqlalchemy.and_(
-                        persistence_model.ModelProvider.workspace_uuid == persistence_model.LLMModel.workspace_uuid,
-                        persistence_model.ModelProvider.uuid == persistence_model.LLMModel.provider_uuid,
-                    ),
-                )
-                .where(
-                    persistence_model.LLMModel.workspace_uuid == context.workspace_uuid,
-                    persistence_model.ModelProvider.requester == LANGBOT_MODELS_PROVIDER_REQUESTER,
-                    sqlalchemy.or_(
-                        persistence_model.LLMModel.uuid == recommended.uuid,
-                        persistence_model.LLMModel.name == recommended.model_id,
-                    ),
-                )
-            )
-            return result.first()
-
-        local_model = await find_local_model()
-        if local_model is None:
-            # OSS synchronizes the public catalog locally. Refresh once in case
-            # the recommendation was published after this process started.
-            from ..context import ExecutionContext
-
-            try:
-                await self.ap.model_mgr.sync_new_models_from_space(ExecutionContext.from_request(context))
-            except Exception:
-                pass
-            local_model = await find_local_model()
-
-        if local_model is None:
-            raise ValueError('Recommended chat model is not available in this Workspace')
-        return {'uuid': local_model.uuid, 'name': local_model.name}
@@ -114,7 +114,7 @@ class UserService:
        if purpose == 'login' and account_uuid is not None:
            raise ValueError('Login state cannot be bound to an Account')
        if purpose != 'login' and launch_workspace_uuid is not None:
-            raise ValueError('Launch Workspace state is only valid for LangBot Account login')
+            raise ValueError('Launch Workspace state is only valid for Space login')
        if ttl_seconds <= 0:
            raise ValueError('OAuth state lifetime must be positive')

@@ -327,7 +327,7 @@ class UserService:
        normalized_email = normalize_email(user_email)
        if self._uses_control_plane_directory():
            raise ControlPlaneDirectoryRequiredError(
-                'Cloud invitation registration must use a LangBot Account to preserve control-plane identity'
+                'Cloud invitation registration must use a Space account to preserve control-plane identity'
            )
        invitation, _ = await self.ap.workspace_collaboration_service.inspect_invitation(invitation_token)
        if invitation.normalized_email != normalized_email:
@@ -394,7 +394,7 @@ class UserService:

        # Check if this user has a local password set
        if not user_obj.password:
-            raise ValueError('请使用 LangBot 账号登录')
+            raise ValueError('请使用 Space 账户登录')

        await self._verify_password(user_obj.password, password)

@@ -774,7 +774,7 @@ class UserService:
            f'email:{normalized_email}',
        )

-    async def bind_space_account(self, user_email: str, code: str, *, redirect_uri: str = '') -> user.User:
+    async def bind_space_account(self, user_email: str, code: str) -> user.User:
        """Bind Space account to existing local account"""
        local_account = await self.get_user_by_email(user_email)
        if local_account is None:
@@ -794,13 +794,12 @@ class UserService:
                code,
                [binding.workspace_uuid],
                {binding.workspace_uuid: created_ts},
-                redirect_uri=redirect_uri,
            )
        else:
            # Compatibility for early/bootstrap call sites that have not wired
            # WorkspaceService yet; old Space servers still derive the legacy
            # Workspace identity from instance_id when the field is omitted.
-            token_data = await self.ap.space_service.exchange_oauth_code(code, redirect_uri=redirect_uri)
+            token_data = await self.ap.space_service.exchange_oauth_code(code)
        access_token = token_data.get('access_token')
        refresh_token = token_data.get('refresh_token')
        expires_in = token_data.get('expires_in', 0)
@@ -826,7 +825,7 @@ class UserService:
        # Check if this Space account is already bound to another user
        existing_space_user = await self.get_user_by_space_account_uuid(space_account_uuid)
        if existing_space_user and existing_space_user.normalized_email != normalize_email(user_email):
-            raise ValueError('This LangBot Account is already bound to another user')
+            raise ValueError('This Space account is already bound to another user')

        # Update local account to Space account
        normalized_email = normalize_email(user_email)
@@ -147,16 +147,7 @@ class LangBotMCPServer:
        )
        async def create_pipeline(pipeline_data: dict) -> str:
            context = _authorized(Permission.RESOURCE_MANAGE)
-            create_as_default = pipeline_data.get('is_default') is True
-            return _dump(
-                {
-                    'uuid': await ap.pipeline_service.create_pipeline(
-                        context,
-                        pipeline_data,
-                        default=create_as_default,
-                    )
-                }
-            )
+            return _dump({'uuid': await ap.pipeline_service.create_pipeline(context, pipeline_data)})

        @mcp.tool(description='Update a pipeline by UUID. `pipeline_data` matches the PUT body.')
        async def update_pipeline(pipeline_uuid: str, pipeline_data: dict) -> str:
@@ -368,10 +368,6 @@ class BoxRuntimeConnector(ManagedRuntimeConnector):
        if not self._control_token and allow_generate:
            self._control_token = secrets.token_urlsafe(48)
        if not self._control_token:
-            if getattr(getattr(self.ap, 'deployment', None), 'mode', 'oss') == 'cloud':
-                raise BoxRuntimeUnavailableError(
-                    f'{BOX_CONTROL_TOKEN_ENV} must be configured with a strong shared secret for a Cloud Box runtime'
-                )
            return ''
        try:
            self._control_token = validate_control_token(self._control_token)
@@ -455,9 +455,7 @@ class BoxService:

    async def _require_validated_workspace_sandbox(self, execution_context: ExecutionContext) -> None:
        if not self._available:
-            raise BoxError(
-                'Box runtime is not available. Configure an available Box backend before using Box features.'
-            )
+            raise BoxError('Box runtime is not available. Install and start Docker to use sandbox features.')
        if self._cloud_managed:
            if self._admission is None:
                raise BoxAdmissionError('Cloud Box sandbox admission is unavailable')
@@ -567,9 +565,7 @@ class BoxService:
        skip_host_mount_validation: bool = False,
    ) -> dict:
        if not self._available:
-            raise BoxError(
-                'Box runtime is not available. Configure an available Box backend before using Box features.'
-            )
+            raise BoxError('Box runtime is not available. Install and start Docker to use sandbox features.')
        execution_context = await self._validated_execution_context(self._query_execution_context(query))
        spec_payload = self._managed_policy_payload(execution_context, spec_payload)
        await self._require_validated_workspace_sandbox(execution_context)
@@ -1214,9 +1210,8 @@ class BoxService:
    async def _read_outbox_via_exec(self, query: pipeline_query.Query) -> list[dict]:
        """Fallback: read the outbox over the exec channel (E2B / remote).

-        Uses ``client.execute`` directly (bypassing ``_serialize_result``)
-        so stdout is NOT truncated by ``output_limit_chars`` - the raw
-        base64 payload can be far larger than the 4000-char display limit.
+        Note: exec stdout is truncated by ``output_limit_chars``, so this path
+        only reliably transfers small files. The host path is preferred.
        """
        import json as _json

@@ -1270,22 +1265,14 @@ class BoxService:
            '                break\n'
            'print(json.dumps(out))\n'
        )
-        spec_payload: dict = {
-            'cmd': f"python3 - <<'LBPY'\n{script}\nLBPY",
-            'timeout_sec': 120,
-            'session_id': self.resolve_box_session_id(query),
-        }
-        if 'extra_mounts' not in spec_payload:
-            spec_payload['extra_mounts'] = self.build_skill_extra_mounts(query)
-        try:
-            spec = self.build_spec(spec_payload)
-            result = await self.client.execute(spec)
-        except Exception:
-            return []
-        if not result.ok:
+        result = await self.execute_tool(
+            {'command': f"python3 - <<'LBPY'\n{script}\nLBPY", 'timeout_sec': 120},
+            query,
+        )
+        if not result.get('ok'):
            return []
        try:
-            return _json.loads(str(result.stdout or '').strip().splitlines()[-1])
+            return _json.loads(str(result.get('stdout') or '').strip().splitlines()[-1])
        except Exception:
            return []

@@ -2146,8 +2133,5 @@ class BoxService:
            if backend_name:
                payload['connector_error'] = f'Configured sandbox backend "{backend_name}" is unavailable'
            else:
-                payload['connector_error'] = (
-                    'No supported sandbox backend (Docker / nsjail / E2B) is available. '
-                    'Trusted local development may explicitly select the unsafe host backend.'
-                )
+                payload['connector_error'] = 'No supported sandbox backend (Docker / nsjail / E2B) is available'
        return payload
@@ -125,21 +125,10 @@ class DirectoryProjectionService:
        # The database cursor remains the shared projection high-water mark,
        # while this cursor tracks what this process has actually observed.
        self._consumer_cursor: int | None = None
-        self._sync_lock = asyncio.Lock()

    async def initialize(self) -> None:
        """Block Cloud startup until one full signed snapshot is committed."""

-        async with self._sync_lock:
-            await self._refresh_snapshot()
-
-    async def refresh_snapshot(self) -> None:
-        """Refresh from one full signed snapshot within the sync single-flight."""
-
-        async with self._sync_lock:
-            await self._refresh_snapshot()
-
-    async def _refresh_snapshot(self) -> None:
        last_superseded: _DirectorySnapshotSuperseded | None = None
        for _attempt in range(5):
            snapshot = await self.provider.fetch_snapshot(self.instance_uuid)
@@ -170,84 +159,9 @@ class DirectoryProjectionService:
                delay = min(max(delay * 2, self.sync_interval_seconds), self.max_staleness_seconds / 2)

    async def sync_once(self) -> None:
-        async with self._sync_lock:
-            await self._sync_once()
-
-    async def reconcile_workspaces(self, workspace_uuids: Iterable[str]) -> None:
-        """Synchronously project an exact Workspace set without moving the event cursor."""
-
-        requested = tuple(sorted({str(value).strip() for value in workspace_uuids if str(value).strip()}))
-        if not requested:
-            raise DirectoryProjectionUnavailableError('Targeted directory reconciliation requires a Workspace')
-        if len(requested) > self.event_limit:
-            raise DirectoryProjectionUnavailableError('Targeted directory reconciliation exceeds the batch limit')
-        async with self._sync_lock:
-            delta = await self.provider.fetch_workspaces(self.instance_uuid, requested)
-            await self._apply_targeted_delta(delta, requested)
-
-    async def _apply_targeted_delta(
-        self,
-        delta: DirectoryDelta,
-        requested_workspace_uuids: tuple[str, ...],
-    ) -> None:
-        if not isinstance(delta, DirectoryDelta):
-            raise DirectoryProjectionUnavailableError('Directory provider returned an invalid delta')
-        workspace_count, membership_count = self._validate_batch_capacity(
-            delta.workspaces,
-            full_snapshot=False,
-        )
-        delta = DirectoryDelta.model_validate(delta.model_dump())
-        if delta.instance_uuid != self.instance_uuid:
-            raise DirectoryProjectionUnavailableError('Directory delta targets another LangBot instance')
-        requested = set(requested_workspace_uuids)
-        if set(delta.requested_workspace_uuids) != requested:
-            raise DirectoryProjectionUnavailableError('Directory delta does not match the requested Workspaces')
-        if {workspace.uuid for workspace in delta.workspaces} != requested:
-            raise DirectoryProjectionUnavailableError('Directory delta omitted a requested Workspace')
-
-        directory_uow = getattr(self.ap.persistence_mgr, 'directory_projection_uow', None)
-        if not callable(directory_uow):
-            raise DirectoryProjectionUnavailableError('Directory projection persistence scope is unavailable')
-
-        async with directory_uow(self.instance_uuid) as uow:
-            session = uow.session
-            state = await session.scalar(
-                sqlalchemy.select(DirectoryProjectionState)
-                .where(DirectoryProjectionState.instance_uuid == self.instance_uuid)
-                .with_for_update()
-            )
-            if state is None:
-                raise DirectoryProjectionUnavailableError('Directory projection is not initialized')
-            snapshot = DirectorySnapshot(
-                instance_uuid=self.instance_uuid,
-                cursor=state.cursor,
-                generated_at=delta.generated_at,
-                workspaces=delta.workspaces,
-            )
-            accounts_by_uuid = await self._apply_accounts(session, snapshot, preserve_existing=True)
-            await self._apply_workspaces(session, snapshot, accounts_by_uuid=accounts_by_uuid)
-            active_workspace_count = await self._enforce_active_workspace_capacity(session)
-            await session.flush()
-
-        await self._update_entitlement_workspace_activity(
-            snapshot.workspaces,
-            requested_workspace_uuids=requested,
-        )
-        self._publish_runtime_execution_projection(
-            snapshot.workspaces,
-            affected_workspace_uuids=requested,
-        )
-        self._request_model_catalog_sync()
-        self._record_batch_cardinality(
-            active_workspaces=active_workspace_count,
-            workspaces=workspace_count,
-            memberships=membership_count,
-        )
-
-    async def _sync_once(self) -> None:
        cursor = self._consumer_cursor
        if cursor is None:
-            await self._refresh_snapshot()
+            await self.initialize()
            return
        batch = await self.provider.fetch_events(
            self.instance_uuid,
@@ -794,13 +708,7 @@ class DirectoryProjectionService:
        for row in inbox_rows:
            row.applied_at = now

-    async def _apply_accounts(
-        self,
-        session: Any,
-        snapshot: DirectorySnapshot,
-        *,
-        preserve_existing: bool = False,
-    ) -> dict[str, User]:
+    async def _apply_accounts(self, session: Any, snapshot: DirectorySnapshot) -> dict[str, User]:
        selected: dict[str, DirectoryMember] = {}
        emails: dict[str, str] = {}
        for workspace in snapshot.workspaces:
@@ -865,12 +773,6 @@ class DirectoryProjectionService:
                continue
            if account.source != AccountSource.CLOUD_PROJECTION.value:
                raise DirectoryProjectionUnavailableError('Directory account UUID collides with a local Core account')
-            if preserve_existing:
-                # A targeted Workspace fetch has no independently monotonic
-                # Account revision. It may create a missing runtime shadow, but
-                # ordered event/snapshot projection remains the only updater of
-                # existing Account identity and status fields.
-                continue
            if account.projection_revision > snapshot.cursor:
                raise DirectoryProjectionUnavailableError('Directory account revision rolled back')
            projected_account = self._account_projection(member)
@@ -3,7 +3,6 @@ from __future__ import annotations
 import typing
 import inspect

-from ..api.http.context import ExecutionContext
 from ..core import app
 from . import operator
 from ..utils import importutil
@@ -67,14 +66,7 @@ class CommandManager:

        require_context = getattr(self.ap.plugin_connector, 'require_workspace_context', None)
        if require_context is not None:
-            result = require_context(
-                ExecutionContext(
-                    instance_uuid=context.instance_uuid,
-                    workspace_uuid=context.workspace_uuid,
-                    placement_generation=context.placement_generation,
-                    query_uuid=context.query_uuid,
-                )
-            )
+            result = require_context(context)
            if inspect.isawaitable(result):
                await result

@@ -249,10 +249,6 @@ class Application:
                    {},
                )
            ),
-            'plugin_runtime_connected': bool(
-                self.plugin_connector is not None
-                and getattr(self.plugin_connector, '_runtime_available', lambda: False)()
-            ),
        }
        mcp_loader = getattr(self.tool_mgr, 'mcp_tool_loader', None)
        runtime_stats.update(
@@ -301,36 +297,11 @@ class Application:
    async def initialize(self):
        pass

-    async def _initialize_plugin_runtime(self) -> None:
-        try:
-            await self.plugin_connector.initialize()
-        except asyncio.CancelledError:
-            raise
-        except Exception as exc:
-            self.logger.warning(f'Plugin runtime unavailable during startup; reconnecting in background: {exc}')
-            self.plugin_connector.schedule_reconnect()
-
-    def _start_plugin_runtime_initialization(self) -> asyncio.Task | None:
-        task = getattr(self, '_plugin_runtime_initialization_task', None)
-        if task is not None and not task.done():
-            return task
-        # This is application lifecycle work, not a request side effect. It must
-        # not wait on PersistenceManager's after-commit gate at boot.
-        task = asyncio.create_task(
-            self._initialize_plugin_runtime(),
-            name='plugin-runtime-initialization',
-        )
-        self._plugin_runtime_initialization_task = task
-        return task
-
    async def run(self):
        self.event_loop_monitor.start()
        try:
-            if (
-                self.directory_projection_service is not None
-                and getattr(self, 'directory_projection_task', None) is None
-            ):
-                self.directory_projection_task = self.task_mgr.create_task(
+            if self.directory_projection_service is not None:
+                self.task_mgr.create_task(
                    self.directory_projection_service.run(),
                    name='cloud-directory-projection',
                    scopes=[core_entities.LifecycleControlScope.APPLICATION],
@@ -347,6 +318,7 @@ class Application:
                    name='cloud-manifest-refresh',
                    scopes=[core_entities.LifecycleControlScope.APPLICATION],
                )
+            await self.plugin_connector.initialize_plugins()

            # 后续可能会允许动态重启其他任务
            # 故为了防止程序在非 Ctrl-C 情况下退出，这里创建一个不会结束的协程
@@ -372,7 +344,6 @@ class Application:
                name='http-api-controller',
                scopes=[core_entities.LifecycleControlScope.APPLICATION],
            )
-            self._start_plugin_runtime_initialization()

            # Telemetry instance heartbeat (startup + daily); respects
            # space.disable_telemetry via TelemetryManager.send().
@@ -554,11 +525,6 @@ class Application:

            if self.task_mgr is not None:
                self.task_mgr.cancel_by_scope(core_entities.LifecycleControlScope.APPLICATION)
-            plugin_runtime_task = getattr(self, '_plugin_runtime_initialization_task', None)
-            if plugin_runtime_task is not None and not plugin_runtime_task.done():
-                plugin_runtime_task.cancel()
-                with contextlib.suppress(asyncio.CancelledError):
-                    await plugin_runtime_task
            with contextlib.suppress(Exception):
                await self.event_loop_monitor.stop()
            mcp_mount = getattr(self.http_ctrl, 'mcp_mount', None)
@@ -635,9 +601,9 @@ class Application:
        frontend_path = paths.get_frontend_path()

        if not os.path.exists(frontend_path):
-            self.logger.warning('WebUI 文件缺失，请根据文档部署：https://langbot.app/docs/zh')
+            self.logger.warning('WebUI 文件缺失，请根据文档部署：https://docs.langbot.app/zh')
            self.logger.warning(
-                'WebUI files are missing, please deploy according to the documentation: https://langbot.app/docs/en'
+                'WebUI files are missing, please deploy according to the documentation: https://docs.langbot.app/en'
            )
            return

@@ -1,6 +1,6 @@
 from __future__ import annotations

-from .. import stage, app, entities as core_entities
+from .. import stage, app
 from ...utils import version, proxy, constants
 from ...pipeline import pool, controller, pipelinemgr
 from ...pipeline import aggregator as message_aggregator
@@ -292,17 +292,14 @@ class BuildAppStage(stage.BootingStage):
        async def runtime_disconnect_callback(connector: plugin_connector.PluginRuntimeConnector) -> None:
            connector.schedule_reconnect()

-        if ap.directory_projection_service is not None:
-            # Keep the projection fresh while shared Runtime cold restore runs.
-            # BuildApp initializes the connector before Application.run() starts
-            # its long-lived tasks, so start the single refresh task here.
-            ap.directory_projection_task = ap.task_mgr.create_task(
-                ap.directory_projection_service.run(),
-                name='cloud-directory-projection',
-                scopes=[core_entities.LifecycleControlScope.APPLICATION],
-            )
-
        plugin_connector_inst = plugin_connector.PluginRuntimeConnector(ap, runtime_disconnect_callback)
+        try:
+            await plugin_connector_inst.initialize()
+        except Exception as exc:
+            # Keep the API/UI available while an external or managed runtime is
+            # starting, then recover in the background with bounded backoff.
+            ap.logger.warning(f'Plugin runtime unavailable during startup; reconnecting in background: {exc}')
+            plugin_connector_inst.schedule_reconnect()
        ap.plugin_connector = plugin_connector_inst
        workspace_service_inst.release_startup_execution_bindings()

@@ -47,10 +47,3 @@ class SpaceModel(pydantic.BaseModel):
    status: str
    created_at: str | None = None
    updated_at: str | None = None
-
-
-class SpaceModelSelection(pydantic.BaseModel):
-    """Minimal model identity returned by the ranked selection endpoint."""
-
-    uuid: str
-    model_id: str
@@ -17,4 +17,4 @@ class SpaceAccountBindingRequiredError(AccountEmailMismatchError):
    code = 'space_account_binding_required'

    def __str__(self) -> str:
-        return 'This local account must bind a LangBot Account from Account settings before LangBot Account login'
+        return 'This local Account must bind Space from Account settings before Space login'
@@ -177,6 +177,7 @@ class PersistenceManager:
            await self._validate_cloud_runtime()
            return

+        self._enable_sqlite_foreign_keys()
        if self.mode == PersistenceMode.RELEASE_MIGRATION:
            async with self._release_migration_lock():
                await self._initialize_managed_schema()
@@ -184,7 +185,6 @@ class PersistenceManager:
            return

        await self._initialize_managed_schema()
-        await self._enable_sqlite_foreign_keys_after_migration()

        if self.mode == PersistenceMode.OSS_COMPAT:
            await self.write_space_model_providers()
@@ -373,17 +373,6 @@ class PersistenceManager:
        sqlalchemy.event.listen(self.get_db_engine().sync_engine, 'begin', set_oss_tenant_scope)
        self._oss_tenant_scope_listener_installed = True

-    async def _enable_sqlite_foreign_keys_after_migration(self) -> None:
-        """Enable SQLite FK enforcement only after table-rebuilding migrations."""
-        engine = self.get_db_engine()
-        if engine.dialect.name != 'sqlite':
-            return
-        await engine.dispose()
-        self._enable_sqlite_foreign_keys()
-        # Dispose again so every runtime connection is opened through the new
-        # listener instead of reusing a pre-migration pooled connection.
-        await engine.dispose()
-
    def _enable_sqlite_foreign_keys(self) -> None:
        """Enable SQLite FK enforcement for every pooled runtime connection."""
        engine = self.get_db_engine()
@@ -3,7 +3,6 @@
 from __future__ import annotations

 import asyncio
-import contextlib
 import dataclasses
 import datetime
 import json
@@ -13,7 +12,6 @@ import re
 import secrets
 import sqlite3
 import tempfile
-import time
 import typing

 from sqlalchemy.ext.asyncio import AsyncEngine
@@ -83,7 +81,7 @@ def _verify_connection(connection: sqlite3.Connection, expected_revision: str) -


 def _verify_file(path: pathlib.Path, expected_revision: str) -> None:
-    with contextlib.closing(_open_read_only(path)) as connection:
+    with _open_read_only(path) as connection:
        _verify_connection(connection, expected_revision)


@@ -119,23 +117,8 @@ def _write_manifest(backup: SQLiteMigrationBackup, status: str, **extra: typing.
        temporary_path.unlink(missing_ok=True)


-def _fsync_file(path: pathlib.Path, *, reopen_attempts: int = 20) -> None:
-    """Sync a file, tolerating delayed visibility after replace on bind mounts.
-
-    Uses O_RDWR so os.fsync works on Windows (where _commit requires write
-    access to the file descriptor).
-    """
-
-    descriptor: int | None = None
-    for attempt in range(reopen_attempts):
-        try:
-            descriptor = os.open(path, os.O_RDWR)
-            break
-        except FileNotFoundError:
-            if attempt + 1 >= reopen_attempts:
-                raise
-            time.sleep(0.05)
-    assert descriptor is not None
+def _fsync_file(path: pathlib.Path) -> None:
+    descriptor = os.open(path, os.O_RDONLY)
    try:
        os.fsync(descriptor)
    finally:
@@ -143,37 +126,13 @@ def _fsync_file(path: pathlib.Path, *, reopen_attempts: int = 20) -> None:


 def _fsync_directory(path: pathlib.Path) -> None:
-    if os.name == 'nt':
-        # Windows cannot fsync directory handles opened through os.open.
-        return
-    descriptor = os.open(path, os.O_RDONLY | getattr(os, 'O_DIRECTORY', 0))
+    descriptor = os.open(path, os.O_RDONLY)
    try:
        os.fsync(descriptor)
    finally:
        os.close(descriptor)


-def _remove_stale_temporary_files(
-    directory: pathlib.Path,
-    *,
-    prefix: str,
-    suffix: str,
-) -> None:
-    """Remove temporary files left by an interrupted backup or restore."""
-
-    for candidate in directory.iterdir():
-        if candidate.is_dir() or not candidate.name.startswith(prefix) or not candidate.name.endswith(suffix):
-            continue
-        try:
-            candidate.unlink()
-        except FileNotFoundError:
-            continue
-        except PermissionError:
-            # Another process may still own this file. Do not turn harmless
-            # cleanup into a migration failure; its unique name cannot collide.
-            continue
-
-
 def _create_backup(
    database_path: pathlib.Path,
    source_revision: str,
@@ -182,11 +141,6 @@ def _create_backup(
    backup_directory = database_path.parent / 'migration-backups'
    backup_directory.mkdir(mode=0o700, parents=True, exist_ok=True)
    os.chmod(backup_directory, 0o700)
-    _remove_stale_temporary_files(
-        backup_directory,
-        prefix=f'.{database_path.stem}-pre-',
-        suffix='.creating',
-    )
    created_at = datetime.datetime.now(datetime.UTC).strftime('%Y-%m-%dT%H-%M-%S.%fZ')
    stem = (
        f'{database_path.stem}-pre-{_safe_label(target_revision)}-'
@@ -203,8 +157,11 @@ def _create_backup(
    temporary_path = pathlib.Path(temporary_name)
    try:
        with (
-            contextlib.closing(_open_read_only(database_path)) as source,
-            contextlib.closing(sqlite3.connect(temporary_path, timeout=30)) as destination,
+            _open_read_only(database_path) as source,
+            sqlite3.connect(
+                temporary_path,
+                timeout=30,
+            ) as destination,
        ):
            source.execute('PRAGMA busy_timeout = 30000')
            source.backup(destination)
@@ -252,11 +209,6 @@ async def create_verified_backup(

 def _restore_backup(backup: SQLiteMigrationBackup) -> None:
    _verify_file(backup.backup_path, backup.source_revision)
-    _remove_stale_temporary_files(
-        backup.database_path.parent,
-        prefix=f'.{backup.database_path.name}.',
-        suffix='.restoring',
-    )
    descriptor, temporary_name = tempfile.mkstemp(
        prefix=f'.{backup.database_path.name}.',
        suffix='.restoring',
@@ -266,8 +218,11 @@ def _restore_backup(backup: SQLiteMigrationBackup) -> None:
    temporary_path = pathlib.Path(temporary_name)
    try:
        with (
-            contextlib.closing(_open_read_only(backup.backup_path)) as source,
-            contextlib.closing(sqlite3.connect(temporary_path, timeout=30)) as destination,
+            _open_read_only(backup.backup_path) as source,
+            sqlite3.connect(
+                temporary_path,
+                timeout=30,
+            ) as destination,
        ):
            source.backup(destination)
            destination.commit()
@@ -209,7 +209,7 @@ _ALLOWED_SCOPED_BUILTIN_FUNCTION_TYPES = {
    'now': sqlalchemy.sql.functions.now,
    'sum': sqlalchemy.sql.functions.sum,
 }
-_ALLOWED_SCOPED_GENERIC_FUNCTIONS = frozenset({'date_trunc', 'length', 'nullif', 'strftime'})
+_ALLOWED_SCOPED_GENERIC_FUNCTIONS = frozenset({'date_trunc', 'length', 'nullif'})
 _ALLOWED_SCOPED_CUSTOM_OPERATORS = frozenset({'<=>'})
 _ALLOWED_SCOPED_STATEMENT_TYPES = (
    sqlalchemy.sql.dml.UpdateBase,
@@ -5,11 +5,6 @@ from .. import entities
 import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
 from ....utils.safe_regex import SafeRegexError, mask_patterns

-# Legacy sensitive-words.json files shipped ~70 rules, which exceeds the
-# default safe_regex per-call cap of 64 and used to fail-close every message.
-# Keep one 50ms CPU budget for the whole list; only raise the pattern cap.
-_MAX_SENSITIVE_WORD_PATTERNS = 256
-

@filter_model.filter_class('ban-word-filter')
 class BanWordFilter(filter_model.ContentFilter):
@@ -19,17 +14,12 @@ class BanWordFilter(filter_model.ContentFilter):
        pass

    async def process(self, query: pipeline_query.Query, message: str) -> entities.FilterResult:
-        words = self.ap.sensitive_meta.data.get('words') or []
-        mask = self.ap.sensitive_meta.data['mask']
-        mask_word = self.ap.sensitive_meta.data['mask_word']
-
        try:
-            found, current = await mask_patterns(
-                words,
+            found, message = await mask_patterns(
+                self.ap.sensitive_meta.data['words'],
                message,
-                mask=mask,
-                mask_word=mask_word,
-                max_pattern_count=_MAX_SENSITIVE_WORD_PATTERNS,
+                mask=self.ap.sensitive_meta.data['mask'],
+                mask_word=self.ap.sensitive_meta.data['mask_word'],
            )
        except SafeRegexError as exc:
            return entities.FilterResult(
@@ -41,7 +31,7 @@ class BanWordFilter(filter_model.ContentFilter):

        return entities.FilterResult(
            level=entities.ResultLevel.MASKED if found else entities.ResultLevel.PASS,
-            replacement=current,
+            replacement=message,
            user_notice='消息中存在不合适的内容, 请修改' if found else '',
            console_notice='',
        )
@@ -158,18 +158,6 @@ class ResponseWrapper(stage.PipelineStage):
                                result_type=entities.ResultType.CONTINUE,
                                new_query=query,
                            )
-                    elif (
-                        isinstance(result, provider_message.MessageChunk) and result.is_final and not result.tool_calls
-                    ):
-                        # Final streaming chunk with no text content but
-                        # possibly carrying sandbox outbox attachments.
-                        reply_chain = platform_message.MessageChain([])
-                        await self._append_outbound_attachments(query, reply_chain)
-                        query.resp_message_chain.append(reply_chain)
-                        yield entities.StageProcessResult(
-                            result_type=entities.ResultType.CONTINUE,
-                            new_query=query,
-                        )

                    if result.tool_calls is not None and len(result.tool_calls) > 0:  # 有函数调用
                        function_names = [tc.function.name for tc in result.tool_calls]
@@ -15,9 +15,9 @@ spec:
  categories:
    - protocol
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/qq/aiocqhttp/napcat
-    en: https://langbot.app/docs/en/usage/platforms/qq/aiocqhttp/napcat
-    ja: https://langbot.app/docs/ja/usage/platforms/qq/aiocqhttp/napcat
+    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:
@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/dingtalk
-    en: https://langbot.app/docs/en/usage/platforms/dingtalk
-    ja: https://langbot.app/docs/ja/usage/platforms/dingtalk
+    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: one-click-create
      label:
@@ -24,9 +24,9 @@ spec:
    - popular
    - global
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/discord
-    en: https://langbot.app/docs/en/usage/platforms/discord
-    ja: https://langbot.app/docs/ja/usage/platforms/discord
+    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:
@@ -18,9 +18,9 @@ spec:
    - popular
    - global
  help_links:
-    zh: https://langbot.app/docs/zh/platforms/http-bot
-    en: https://langbot.app/docs/en/platforms/http-bot
-    ja: https://langbot.app/docs/ja/platforms/http-bot
+    zh: https://docs.langbot.app/zh/platforms/http-bot
+    en: https://docs.langbot.app/en/platforms/http-bot
+    ja: https://docs.langbot.app/ja/platforms/http-bot
  config:
    - name: webhook_url
      label:
@@ -0,0 +1,771 @@
+"""itchat-uos adapter for LangBot.
+
+Uses the itchat-uos WeChat Web library to integrate personal WeChat accounts
+with LangBot via QR code login.
+
+Reference: https://github.com/littlecodersh/ItChat
+UOS fork: https://github.com/why2lyj/ItChat-uos
+"""
+
+from __future__ import annotations
+
+import asyncio
+import base64
+import os
+import re
+import tempfile
+import threading
+import time
+import traceback
+import typing
+
+from itchat.content import TEXT, PICTURE, RECORDING, VIDEO, SHARING
+
+import pydantic
+
+from itchat.core import Core as ItchatCore
+
+try:
+    import queue
+except ImportError:
+    import Queue as queue
+
+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
+from langbot.pkg.platform.logger import EventLogger
+
+
+class ItchatMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
+    """Converts between LangBot MessageChain and itchat message dicts."""
+
+    @staticmethod
+    async def yiri2target(
+        message_chain: platform_message.MessageChain,
+    ) -> list[dict]:
+        """LangBot MessageChain -> list of itchat-sendable items.
+
+        Each item is a dict with 'type' and the relevant content field.
+        The adapter's send_message() will call itchat.send() accordingly.
+        """
+        items: list[dict] = []
+        for component in message_chain:
+            if isinstance(component, platform_message.Plain):
+                if component.text:
+                    items.append({'type': 'text', 'content': component.text})
+
+            elif isinstance(component, platform_message.Image):
+                if component.base64:
+                    items.append({'type': 'image', 'base64': component.base64})
+                elif component.url:
+                    items.append({'type': 'image', 'url': component.url})
+
+            elif isinstance(component, platform_message.Voice):
+                if component.base64:
+                    items.append({'type': 'voice', 'base64': component.base64})
+                elif component.url:
+                    items.append({'type': 'voice', 'url': component.url})
+
+            elif isinstance(component, platform_message.File):
+                if component.base64:
+                    items.append({'type': 'file', 'base64': component.base64, 'name': component.name or 'file'})
+                elif component.url:
+                    items.append({'type': 'file', 'url': component.url, 'name': component.name or 'file'})
+
+            elif isinstance(component, platform_message.At):
+                items.append({'type': 'text', 'content': f'@{component.target} '})
+
+            elif isinstance(component, platform_message.AtAll):
+                items.append({'type': 'text', 'content': '@所有人 '})
+
+            elif isinstance(component, platform_message.Forward):
+                for node in component.node_list:
+                    if node.message_chain:
+                        items.extend(await ItchatMessageConverter.yiri2target(node.message_chain))
+
+            elif isinstance(component, platform_message.Unknown):
+                pass  # skip unknown outbound
+
+        return items
+
+    @staticmethod
+    def target2yiri(msg: dict) -> platform_message.MessageChain:
+        """Convert an itchat msg dict to a LangBot MessageChain."""
+        components: list[platform_message.MessageComponent] = []
+        msg_type = msg.get('Type', '')
+
+        if msg_type == 'Text':
+            text = msg.get('Text', '')
+            if text:
+                components.append(platform_message.Plain(text=text))
+
+        elif msg_type == 'Picture':
+            try:
+                temp_dir = tempfile.gettempdir()
+                file_path = os.path.join(temp_dir, msg.get('FileName', 'image.jpg'))
+                msg.download(file_path)
+                if os.path.exists(file_path):
+                    with open(file_path, 'rb') as f:
+                        img_bytes = f.read()
+                    b64 = base64.b64encode(img_bytes).decode('utf-8')
+                    components.append(platform_message.Image(base64=f'data:image/jpeg;base64,{b64}'))
+                    os.remove(file_path)
+                else:
+                    components.append(platform_message.Unknown(text='[Image download failed]'))
+            except Exception:
+                components.append(platform_message.Unknown(text='[Image download failed]'))
+
+        elif msg_type == 'Recording':
+            try:
+                temp_dir = tempfile.gettempdir()
+                file_path = os.path.join(temp_dir, msg.get('FileName', 'voice.mp3'))
+                msg.download(file_path)
+                if os.path.exists(file_path):
+                    with open(file_path, 'rb') as f:
+                        voice_bytes = f.read()
+                    b64 = base64.b64encode(voice_bytes).decode('utf-8')
+                    components.append(platform_message.Voice(base64=b64))
+                    os.remove(file_path)
+                else:
+                    components.append(platform_message.Unknown(text='[Voice download failed]'))
+            except Exception:
+                components.append(platform_message.Unknown(text='[Voice download failed]'))
+
+        elif msg_type == 'Sharing':
+            text = msg.get('Text', '')
+            url = msg.get('Url', '')
+            content = text
+            if url and url not in text:
+                content = f'{text}\n{url}' if text else url
+            if content:
+                components.append(platform_message.Plain(text=content))
+
+        elif msg_type == 'Video':
+            components.append(platform_message.Unknown(text='[Video]'))
+
+        elif msg_type == 'Map':
+            components.append(platform_message.Unknown(text='[Location]'))
+
+        elif msg_type == 'Card':
+            components.append(platform_message.Unknown(text='[Contact Card]'))
+
+        elif msg_type == 'Note':
+            text = msg.get('Text', '')
+            if text:
+                components.append(platform_message.Unknown(text=f'[Note: {text}]'))
+
+        else:
+            text = msg.get('Text', '')
+            if text:
+                components.append(platform_message.Plain(text=text))
+            else:
+                components.append(platform_message.Unknown(text=f'[Unsupported message type: {msg_type}]'))
+
+        return platform_message.MessageChain(components)
+
+
+class ItchatEventConverter(abstract_platform_adapter.AbstractEventConverter):
+    """Converts itchat msg dicts to LangBot events."""
+
+    def __init__(self, adapter_ref: typing.Callable[[], typing.Any]):
+        """adapter_ref is a callable returning the ItchatAdapter instance."""
+        self._get_adapter = adapter_ref
+
+    @staticmethod
+    async def yiri2target(event: platform_events.MessageEvent) -> dict:
+        return event.source_platform_object
+
+    def target2yiri(self, msg: dict) -> typing.Optional[platform_events.MessageEvent]:
+        """Convert itchat msg to FriendMessage or GroupMessage."""
+        from_user = msg.get('FromUserName', '')
+        if not from_user:
+            return None
+
+        adapter = self._get_adapter()
+        bot_account_id = adapter.bot_account_id
+        bot_nickname = adapter._bot_nickname
+
+        # Ignore the bot's own messages to avoid reply loops
+        bot_user_name = getattr(adapter._core.storageClass, 'userName', '')
+        if from_user == bot_account_id or (bot_user_name and from_user == bot_user_name):
+            return None
+
+        message_chain = ItchatMessageConverter.target2yiri(msg)
+        if not message_chain:
+            return None
+
+        # Determine if this is a group message
+        # itchat uses '@@' prefix for chatroom IDs (not '@chatroom' suffix)
+        is_group = from_user.startswith('@@')
+        timestamp = msg.get('CreateTime', 0)
+
+        if is_group:
+            # Actual sender within the group
+            actual_user = msg.get('ActualUserName', '')
+            actual_nick = msg.get('ActualNickName', '') or actual_user
+            if not actual_user:
+                return None
+
+            # Prepend @bot if the bot was mentioned
+            # itchat uses 'IsAt' (capital I, capital A) in produce_group_chat
+            if msg.get('IsAt', False):
+                # Strip @bot_nickname from the text content to avoid LLM confusion
+                if bot_nickname:
+                    at_re = re.compile(re.escape('@' + bot_nickname) + r'[  ]?')
+                    for component in message_chain:
+                        if isinstance(component, platform_message.Plain):
+                            component.text = at_re.sub('', component.text, count=1)
+                            break
+                message_chain = platform_message.MessageChain(
+                    [platform_message.At(target=bot_account_id)] + list(message_chain)
+                )
+
+            # Try to get group display name
+            group_obj = msg.get('User', {})
+            group_name = ''
+            if hasattr(group_obj, 'NickName'):
+                group_name = group_obj.NickName
+            elif isinstance(group_obj, dict):
+                group_name = group_obj.get('NickName', '')
+
+            return platform_events.GroupMessage(
+                sender=platform_entities.GroupMember(
+                    id=actual_user,
+                    member_name=actual_nick,
+                    permission=platform_entities.Permission.Member,
+                    group=platform_entities.Group(
+                        id=from_user,
+                        name=group_name or from_user,
+                        permission=platform_entities.Permission.Member,
+                    ),
+                    special_title='',
+                ),
+                message_chain=message_chain,
+                time=timestamp,
+                source_platform_object=msg,
+            )
+        else:
+            # Private / friend message
+            user_obj = msg.get('User', {})
+            sender_nick = adapter._get_obj_value(user_obj, 'NickName')
+            sender_remark = adapter._get_obj_value(user_obj, 'RemarkName')
+
+            return platform_events.FriendMessage(
+                sender=platform_entities.Friend(
+                    id=from_user,
+                    nickname=sender_nick or from_user,
+                    remark=sender_remark,
+                ),
+                message_chain=message_chain,
+                time=timestamp,
+                source_platform_object=msg,
+            )
+
+
+class ItchatAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
+    """LangBot adapter for itchat-uos (WeChat Web)."""
+
+    name: str = 'itchat'
+
+    config: dict
+    logger: EventLogger
+
+    message_converter: ItchatMessageConverter
+    event_converter: ItchatEventConverter
+
+    listeners: typing.Dict[
+        typing.Type[platform_events.Event],
+        typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
+    ] = {}
+
+    _loop: typing.Optional[asyncio.AbstractEventLoop] = pydantic.PrivateAttr(default=None)
+    _logged_in: typing.Optional[threading.Event] = pydantic.PrivateAttr(default=None)
+    _itchat_thread: typing.Optional[threading.Thread] = pydantic.PrivateAttr(default=None)
+    _core: typing.Optional[ItchatCore] = pydantic.PrivateAttr(default=None)
+    _bot_nickname: str = pydantic.PrivateAttr(default='')
+    _bot_uuid: typing.Optional[str] = pydantic.PrivateAttr(default=None)
+    _startup_error: typing.Optional[str] = pydantic.PrivateAttr(default=None)
+    _connection_status: str = pydantic.PrivateAttr(default='disconnected')
+    _connection_error: str = pydantic.PrivateAttr(default='')
+    _last_connected_at: typing.Optional[float] = pydantic.PrivateAttr(default=None)
+    _last_disconnected_at: typing.Optional[float] = pydantic.PrivateAttr(default=None)
+
+    class Config:
+        arbitrary_types_allowed = True
+
+    def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
+        message_converter = ItchatMessageConverter()
+        # Event converter needs a reference to self for bot_account_id + nickname
+        event_converter = ItchatEventConverter(adapter_ref=lambda: self)
+
+        super().__init__(
+            config=config,
+            logger=logger,
+            message_converter=message_converter,
+            event_converter=event_converter,
+            listeners={},
+            bot_account_id='',
+        )
+
+        # Initialize private attributes (can't be class-level defaults due to pickle)
+        self._loop = None
+        self._logged_in = threading.Event()
+        self._itchat_thread = None
+        self._core = ItchatCore()
+        self._startup_error = None
+        self._connection_status = 'disconnected'
+        self._connection_error = ''
+        self._last_connected_at = None
+        self._last_disconnected_at = None
+
+    @staticmethod
+    def _get_obj_value(obj: typing.Any, key: str, default: str = '') -> str:
+        if isinstance(obj, dict):
+            return obj.get(key, default) or default
+        return getattr(obj, key, default) or default
+
+    @staticmethod
+    def _safe_status_name(value: str) -> str:
+        cleaned = re.sub(r'[^A-Za-z0-9_.@-]+', '_', value.strip())
+        cleaned = cleaned.strip('._')
+        return cleaned
+
+    @staticmethod
+    def login_status_dir() -> str:
+        path = os.path.join('data', 'itchat')
+        os.makedirs(path, exist_ok=True)
+        return path
+
+    @classmethod
+    def login_status_path_for_account(cls, account_id: str) -> str:
+        safe_name = cls._safe_status_name(account_id)
+        if not safe_name:
+            raise ValueError('account_id is required for itchat login status')
+        filename = f'{safe_name}.pkl'
+        return os.path.join(cls.login_status_dir(), filename)
+
+    def _login_status_path(self) -> str:
+        configured_path = self.config.get('login_status_path', '').strip()
+        if configured_path:
+            return configured_path
+
+        account_id = self.config.get('account_id', '').strip()
+        if not account_id:
+            raise ValueError('account_id is required. Please scan the QR code and save this bot first.')
+
+        return self.login_status_path_for_account(account_id)
+
+    def set_bot_uuid(self, bot_uuid: str):
+        self._bot_uuid = bot_uuid
+
+    def _set_connection_status(self, status: str, error: str = ''):
+        self._connection_status = status
+        self._connection_error = error
+        now = time.time()
+        if status == 'connected':
+            self._last_connected_at = now
+        elif status in {'disconnected', 'error'}:
+            self._last_disconnected_at = now
+
+    def get_runtime_status(self) -> dict:
+        return {
+            'connection_status': self._connection_status,
+            'connection_error': self._connection_error,
+            'last_connected_at': self._last_connected_at,
+            'last_disconnected_at': self._last_disconnected_at,
+        }
+
+    def _on_login(self):
+        """Called by itchat after successful QR code login."""
+        try:
+            # Refresh contacts
+            self._core.get_friends(update=True)
+            self._core.get_chatrooms(update=True)
+
+            # Get bot's own WeChat info from loginInfo['User']
+            user_info = self._core.loginInfo.get('User', {})
+            nick_name = self._get_obj_value(user_info, 'NickName')
+            user_name = self._get_obj_value(user_info, 'UserName')
+
+            # bot_account_id: config override or auto-detected wxid
+            # Used by AtBotRule for matching At.target
+            configured_id = self.config.get('account_id', '').strip()
+            self.bot_account_id = configured_id or user_name or nick_name or 'itchat-bot'
+            # _bot_nickname: config override or auto-detected nickname
+            configured_nick = self.config.get('nickname', '').strip()
+            self._bot_nickname = configured_nick or nick_name
+            self._set_connection_status('connected')
+
+            try:
+                chatrooms = self._core.search_chatrooms() or []
+                group_names = []
+                for c in chatrooms:
+                    name = self._get_obj_value(c, 'NickName', str(c))
+                    if name:
+                        group_names.append(name)
+
+                if group_names:
+                    self._log_sync(
+                        f'itchat login as {nick_name} ({user_name}) | Groups ({len(group_names)}): {", ".join(group_names[:10])}{"..." if len(group_names) > 10 else ""}'
+                    )
+                else:
+                    self._log_sync(f'itchat login as {nick_name} ({user_name}) | No groups found')
+            except Exception as e:
+                self._log_sync(f'itchat login as {nick_name} ({user_name}) | Failed to list groups: {e}', 'warning')
+        except Exception as e:
+            self.bot_account_id = f'WeChat Bot (Error: {e})'
+            self._set_connection_status('error', str(e))
+        finally:
+            self._logged_in.set()
+
+    def _log_sync(self, msg: str, level: str = 'info'):
+        """Thread-safe logging from itchat's sync thread."""
+        try:
+            if self._loop and not self._loop.is_closed():
+                log_fn = getattr(self.logger, level)
+                asyncio.run_coroutine_threadsafe(log_fn(msg), self._loop)
+        except Exception:
+            pass
+
+    def _drain_msglist(self):
+        """Clear all stale messages from the msgList queue.
+
+        itchat's load_login_status fetches old messages via get_msg() and
+        pushes them into msgList. We drain them to avoid replaying history.
+        """
+        try:
+            q = self._core.msgList
+            while True:
+                q.get_nowait()
+        except queue.Empty:
+            pass
+
+    def _on_qr_callback(self, **kwargs):
+        """Called by itchat when QR code is generated or status changes.
+
+        Args:
+            uuid: QR code uuid
+            status: '200' = logged in, '201' = confirmed on phone, '408' = timeout
+            qrcode: raw bytes of the QR code PNG image
+        """
+        status = kwargs.get('status', '')
+        qr_bytes = kwargs.get('qrcode', b'')
+
+        if status == '200':
+            # Login success, no need to show QR
+            return
+
+        # Only show QR on new QR generation (status='0') to avoid spamming
+        if not qr_bytes or status != '0':
+            return
+
+        try:
+            b64 = base64.b64encode(qr_bytes).decode('utf-8')
+            if self._loop and not self._loop.is_closed():
+                asyncio.run_coroutine_threadsafe(
+                    self.logger.info(
+                        'Please scan the QR code to login WeChat:',
+                        images=[platform_message.Image(base64=f'data:image/png;base64,{b64}')],
+                    ),
+                    self._loop,
+                )
+        except Exception:
+            pass
+
+    def _on_exit(self):
+        """Called by itchat on exit."""
+        self._set_connection_status('disconnected')
+        self._log_sync('itchat session exited')
+
+    def _register_itchat_handlers(self):
+        """Register itchat message decorators by re-registering handlers."""
+
+        @self._core.msg_register([TEXT])
+        def _on_text(msg):
+            self._dispatch_itchat_message(msg)
+
+        @self._core.msg_register([TEXT], isGroupChat=True)
+        def _on_group_text(msg):
+            self._dispatch_itchat_message(msg)
+
+        @self._core.msg_register([PICTURE])
+        def _on_picture(msg):
+            self._dispatch_itchat_message(msg)
+
+        @self._core.msg_register([PICTURE], isGroupChat=True)
+        def _on_group_picture(msg):
+            self._dispatch_itchat_message(msg)
+
+        @self._core.msg_register([RECORDING])
+        def _on_recording(msg):
+            self._dispatch_itchat_message(msg)
+
+        @self._core.msg_register([RECORDING], isGroupChat=True)
+        def _on_group_recording(msg):
+            self._dispatch_itchat_message(msg)
+
+        @self._core.msg_register([SHARING])
+        def _on_sharing(msg):
+            self._dispatch_itchat_message(msg)
+
+        @self._core.msg_register([SHARING], isGroupChat=True)
+        def _on_group_sharing(msg):
+            self._dispatch_itchat_message(msg)
+
+        @self._core.msg_register([VIDEO])
+        def _on_video(msg):
+            self._dispatch_itchat_message(msg)
+
+        @self._core.msg_register([VIDEO], isGroupChat=True)
+        def _on_group_video(msg):
+            self._dispatch_itchat_message(msg)
+
+    def _dispatch_itchat_message(self, msg: dict):
+        """Bridge itchat callback (sync, in itchat thread) to async listener."""
+        try:
+            event = self.event_converter.target2yiri(msg)
+            if event is None:
+                return
+
+            event_type = type(event)
+            if event_type in self.listeners and self._loop:
+                callback = self.listeners[event_type]
+                asyncio.run_coroutine_threadsafe(
+                    callback(event, self),
+                    self._loop,
+                )
+        except Exception:
+            self._log_sync(f'Error dispatching itchat message: {traceback.format_exc()}', 'error')
+
+    async def send_message(
+        self,
+        target_type: str,
+        target_id: str,
+        message: platform_message.MessageChain,
+    ):
+        """Send a message to a user or group via itchat."""
+        items = await self.message_converter.yiri2target(message)
+        loop = asyncio.get_event_loop()
+
+        # Merge consecutive text items to avoid splitting messages
+        merged = []
+        for item in items:
+            if item['type'] == 'text' and merged and merged[-1]['type'] == 'text':
+                merged[-1]['content'] += item['content']
+            else:
+                merged.append(item)
+
+        for item in merged:
+            try:
+                if item['type'] == 'text':
+                    await loop.run_in_executor(None, self._core.send, item['content'], target_id)
+                elif item['type'] == 'image':
+                    # Save to temp file then send
+                    temp_path = self._save_to_temp(item, 'image')
+                    if temp_path:
+                        await loop.run_in_executor(None, self._core.send, f'@img@{temp_path}', target_id)
+                        self._cleanup_temp(temp_path)
+                elif item['type'] == 'voice':
+                    temp_path = self._save_to_temp(item, 'voice')
+                    if temp_path:
+                        await loop.run_in_executor(None, self._core.send, f'@fil@{temp_path}', target_id)
+                        self._cleanup_temp(temp_path)
+                elif item['type'] == 'file':
+                    temp_path = self._save_to_temp(item, 'file')
+                    if temp_path:
+                        await loop.run_in_executor(None, self._core.send, f'@fil@{temp_path}', target_id)
+                        self._cleanup_temp(temp_path)
+            except Exception:
+                await self.logger.error(f'Failed to send itchat message: {traceback.format_exc()}')
+
+    def _save_to_temp(self, item: dict, prefix: str) -> typing.Optional[str]:
+        """Save base64 or URL data to a temp file and return the path."""
+        try:
+            if 'base64' in item:
+                b64_data = item['base64']
+                # Strip data URI prefix if present
+                if ',' in b64_data:
+                    b64_data = b64_data.split(',', 1)[1]
+                file_bytes = base64.b64decode(b64_data)
+                suffix = '.jpg' if prefix == 'image' else ('.mp3' if prefix == 'voice' else '.bin')
+                fd, temp_path = tempfile.mkstemp(suffix=suffix, prefix=f'itchat_{prefix}_')
+                with os.fdopen(fd, 'wb') as f:
+                    f.write(file_bytes)
+                return temp_path
+            elif 'url' in item:
+                import requests
+
+                resp = requests.get(item['url'], timeout=30)
+                if resp.status_code == 200:
+                    suffix = '.jpg' if prefix == 'image' else ('.mp3' if prefix == 'voice' else '.bin')
+                    fd, temp_path = tempfile.mkstemp(suffix=suffix, prefix=f'itchat_{prefix}_')
+                    with os.fdopen(fd, 'wb') as f:
+                        f.write(resp.content)
+                    return temp_path
+        except Exception:
+            self._log_sync(f'Failed to save temp file: {traceback.format_exc()}', 'error')
+        return None
+
+    def _cleanup_temp(self, path: str):
+        """Remove a temp file."""
+        try:
+            if os.path.exists(path):
+                os.remove(path)
+        except OSError:
+            pass
+
+    def _prepare_reply_message(
+        self,
+        message_source: platform_events.MessageEvent,
+        message: platform_message.MessageChain,
+    ) -> platform_message.MessageChain:
+        """Render group sender mentions with display names while keeping internal IDs stable."""
+        if not isinstance(message_source, platform_events.GroupMessage):
+            return message
+
+        source_msg = message_source.source_platform_object or {}
+        actual_user = source_msg.get('ActualUserName', '')
+        actual_nick = source_msg.get('ActualNickName', '')
+        if not actual_user or not actual_nick:
+            return message
+
+        components: list[platform_message.MessageComponent] = []
+        changed = False
+        for component in message:
+            if isinstance(component, platform_message.At) and str(component.target) == str(actual_user):
+                components.append(platform_message.Plain(text=f'@{actual_nick} '))
+                changed = True
+            else:
+                components.append(component)
+
+        if not changed:
+            return message
+        return platform_message.MessageChain(components)
+
+    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 not source_msg:
+            return
+
+        # For group messages, reply to the group; for private, reply to the sender
+        from_user = source_msg.get('FromUserName', '')
+        if not from_user:
+            return
+
+        await self.send_message('friend', from_user, self._prepare_reply_message(message_source, message))
+
+    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 itchat adapter.
+
+        If an account-specific cached session file exists from a previous QR login,
+        itchat will reuse data/itchat/<account_id>.pkl without requiring a new QR scan.
+        """
+        self._loop = asyncio.get_running_loop()
+        self._logged_in.clear()
+        self._startup_error = None
+        self._set_connection_status('connecting')
+
+        await self.logger.info('itchat adapter starting...')
+
+        # Register itchat message handlers BEFORE calling itchat.auto_login()
+        self._register_itchat_handlers()
+
+        # Run itchat in a daemon thread (it blocks)
+        def _run_itchat():
+            try:
+                status_path = self._login_status_path()
+                if not os.path.exists(status_path):
+                    self._startup_error = (
+                        f'No cached WeChat session found at {status_path}. '
+                        'Please scan the QR code in the bot config page first.'
+                    )
+                    self._set_connection_status('error', self._startup_error)
+                    self._log_sync(self._startup_error, 'error')
+                    self._logged_in.set()
+                    return
+
+                # Use hotReload to reuse the cached session from QR login
+                # If no cache exists, fail fast instead of triggering QR login
+                result = self._core.load_login_status(
+                    status_path, loginCallback=self._on_login, exitCallback=self._on_exit
+                )
+                if result.get('BaseResponse', {}).get('Ret') != 0:
+                    self._startup_error = (
+                        f'Cached WeChat session at {status_path} is invalid. '
+                        'Please scan the QR code in the bot config page again.'
+                    )
+                    self._set_connection_status('error', self._startup_error)
+                    self._log_sync(self._startup_error, 'error')
+                    self._logged_in.set()
+                    return
+
+                # Session loaded, start message loop
+                self._log_sync(f'WeChat session loaded from cache: {status_path}')
+
+                # Clear stale messages that itchat fetched during hot-reload
+                self._drain_msglist()
+
+                self._core.run(blockThread=True)
+                self._set_connection_status('disconnected')
+                self._log_sync('itchat message loop stopped', 'error')
+            except Exception as e:
+                error = f'itchat run error: {e}'
+                self._set_connection_status('error', error)
+                self._log_sync(error, 'error')
+                self._logged_in.set()
+
+        self._itchat_thread = threading.Thread(target=_run_itchat, daemon=True, name='itchat-thread')
+        self._itchat_thread.start()
+
+        # Wait for login to complete (with timeout)
+        await asyncio.get_event_loop().run_in_executor(None, lambda: self._logged_in.wait(timeout=300))
+
+        if not self._logged_in.is_set():
+            raise RuntimeError('itchat login timed out (300s)')
+        if self._startup_error:
+            raise RuntimeError(self._startup_error)
+
+        await self.logger.info(f'itchat adapter running, bot: {self.bot_account_id}')
+
+        # Keep the adapter alive
+        try:
+            await asyncio.Event().wait()
+        except asyncio.CancelledError:
+            pass
+
+    async def kill(self) -> bool:
+        """Stop the itchat adapter."""
+        try:
+            self._core.alive = False
+            self._core.isLogging = False
+        except Exception:
+            pass
+        self._set_connection_status('disconnected')
+        await self.logger.info('itchat adapter stopped')
+        return True
@@ -0,0 +1,75 @@
+apiVersion: v1
+kind: MessagePlatformAdapter
+metadata:
+  name: itchat
+  label:
+    en_US: Itchat WeChat
+    zh_Hans: 个人微信 (itchat)
+    zh_Hant: 個人微信 (itchat)
+    ja_JP: 個人WeChat (itchat)
+  description:
+    en_US: Personal WeChat adapter via itchat-uos, supports QR code login and text/image/voice messages
+    zh_Hans: 基于 itchat-uos 的个人微信适配器，扫码登录，支持文本/图片/语音消息
+    zh_Hant: 基於 itchat-uos 的個人微信適配器，掃碼登入，支援文字/圖片/語音訊息
+  icon: wechat.png
+spec:
+  categories:
+    - china
+  help_links:
+    zh: https://github.com/littlecodersh/ItChat
+    en: https://github.com/littlecodersh/ItChat
+  config:
+    - name: qr-login
+      label:
+        en_US: Scan QR Login
+        zh_Hans: 扫码登录
+        zh_Hant: 掃碼登入
+      description:
+        en_US: Scan QR code with WeChat to login. The session will be cached for the adapter to reuse.
+        zh_Hans: 使用微信扫码登录，登录状态将被缓存供适配器复用
+        zh_Hant: 使用微信掃碼登入，登入狀態將被快取供適配器復用
+      type: qr-code-login
+      login_platform: itchat
+      required: false
+    - name: account_id
+      label:
+        en_US: Bot Account ID
+        zh_Hans: 机器人账号标识
+        zh_Hant: 機器人帳號標識
+        ja_JP: ボットアカウントID
+      description:
+        en_US: Auto-filled after QR login with the WeChat wxid. Used for @-mention matching and to load data/itchat/<account_id>.pkl; do not change it to a nickname.
+        zh_Hans: 扫码登录后自动填入微信 wxid。用于群聊 @ 匹配，并加载 data/itchat/<account_id>.pkl；不要改成昵称。
+        zh_Hant: 掃碼登入後自動填入微信 wxid。用於群聊 @ 匹配，並載入 data/itchat/<account_id>.pkl；不要改成暱稱。
+        ja_JP: QRログイン後にWeChatのwxidが自動入力されます。@メンション判定と data/itchat/<account_id>.pkl の読み込みに使うため、ニックネームへ変更しないでください。
+      type: string
+      required: true
+      default: ""
+    - name: nickname
+      label:
+        en_US: Bot Nickname
+        zh_Hans: 机器人昵称
+        zh_Hant: 機器人暱稱
+      description:
+        en_US: The display nickname of the bot. Used to strip @nickname from incoming group messages. Auto-filled after QR login.
+        zh_Hans: 机器人的微信昵称。用于删除群聊消息中的 @昵称 前缀。扫码登录后自动填入
+        zh_Hant: 機器人的微信暱稱。用於刪除群聊訊息中的 @暱稱 前綴。掃碼登入後自動填入
+      type: string
+      required: false
+      default: ""
+    - name: hot_reload
+      label:
+        en_US: Hot Reload
+        zh_Hans: 登录缓存
+        zh_Hant: 登入快取
+      description:
+        en_US: Persist login session to avoid repeated QR code scans on restart
+        zh_Hans: 保存登录状态到本地，重启后无需重新扫码
+        zh_Hant: 儲存登入狀態到本機，重啟後無需重新掃碼
+      type: boolean
+      required: false
+      default: true
+execution:
+  python:
+    path: ./itchat.py
+    attr: ItchatAdapter
@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/kook
-    en: https://langbot.app/docs/en/usage/platforms/kook
-    ja: https://langbot.app/docs/ja/usage/platforms/kook
+    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:
@@ -160,29 +160,6 @@ def _lark_should_update_stream_element(
    return not resume_from and not form_data and (msg_seq % 8 == 0 or is_final)


-def _lark_final_layout_texts(
-    *,
-    resume_from: bool,
-    text_message: str,
-    pre_pause_cached: str | None,
-    resume_cached: str,
-) -> tuple[str, str]:
-    """Return (main_text, resume_placeholder_text) for the final card update.
-
-    Non-resume round: the full reply belongs in the main streaming element
-    only — also rendering the resume placeholder duplicates the reply, since
-    both hold the same accumulated text. Resume round (Dify HITL): keep the
-    pre-pause text in the main element and the resumed text in the
-    placeholder, as they are distinct segments.
-    """
-    if resume_from:
-        # An empty pre-pause cache is valid (Dify paused before emitting any
-        # text); only a missing entry (None) falls back to the full text.
-        main_text = text_message if pre_pause_cached is None else pre_pause_cached
-        return main_text, resume_cached
-    return text_message, ''
-
-
 def _lark_display_input_value(field: dict, value: typing.Any) -> str:
    field_type = _dify_field_type(field)
    if field_type == 'file':
@@ -2381,21 +2358,16 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                    self.card_form_input_defs[card_id] = _lark_form_input_defs(form_data)
                    self.card_form_inputs[card_id] = dict(form_data.get('inputs') or {})
            else:
-                # Normal finish: remove buttons/notice and finalize the card.
-                main_text, resume_text = _lark_final_layout_texts(
-                    resume_from=resume_from,
-                    text_message=text_message,
-                    pre_pause_cached=self.card_pre_pause_text.get(card_id),
-                    resume_cached=resume_cached,
-                )
+                # Normal finish: keep pre-pause + resume content visible,
+                # remove buttons/notice, drop the resume placeholder.
                await self._update_card_layout(
                    card_id=card_id,
                    message_source=message_source,
-                    text_message=main_text,
+                    text_message=pre_pause,
                    sequence=final_seq,
                    form_data=None,
                    notice_text=selected_notice if resume_from else '',
-                    resume_placeholder_text=resume_text,
+                    resume_placeholder_text=resume_cached,
                )
                self._drop_card_state(card_id)
            self.card_id_dict.pop(message_id, None)
@@ -19,9 +19,9 @@ spec:
    - china
    - global
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/lark
-    en: https://langbot.app/docs/en/usage/platforms/lark
-    ja: https://langbot.app/docs/ja/usage/platforms/lark
+    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: domain
      label:
@@ -25,7 +25,6 @@ from linebot.v3.webhooks import (
    ImageMessageContent,
    VideoMessageContent,
    AudioMessageContent,
-    UserMentionee,
 )

 # from linebot import WebhookParser
@@ -59,19 +58,15 @@ class LINEMessageConverter(abstract_platform_adapter.AbstractMessageConverter):

        return content_list

-    def __init__(self, bot_account_id: str = ''):
-        self.bot_account_id = bot_account_id
-
-    async def target2yiri(self, message, bot_client) -> platform_message.MessageChain:
+    @staticmethod
+    async def target2yiri(message, bot_client) -> platform_message.MessageChain:
        lb_msg_list = []
        msg_create_time = datetime.datetime.fromtimestamp(int(message.timestamp) / 1000)

        lb_msg_list.append(platform_message.Source(id=message.webhook_event_id, time=msg_create_time))

        if isinstance(message.message, TextMessageContent):
-            lb_msg_list.extend(
-                self._build_text_components(message.message.text, getattr(message.message, 'mention', None))
-            )
+            lb_msg_list.append(platform_message.Plain(text=message.message.text))
        elif isinstance(message.message, AudioMessageContent):
            pass
        elif isinstance(message.message, VideoMessageContent):
@@ -91,60 +86,22 @@ class LINEMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
            lb_msg_list.append(platform_message.Image(base64=data_uri))
        return platform_message.MessageChain(lb_msg_list)

-    def _build_text_components(self, text: str, mention) -> list:
-        """Build message components from text, inserting At components for mentions.
-
-        LINE provides mention positions (index/length) and is_self per mentionee in the
-        webhook payload. Mapping the bot mention to At(target=bot_account_id) makes the
-        'at-bot' group respond rule work for LINE, consistent with other adapters.
-        """
-        components: list = []
-        if not mention or not mention.mentionees:
-            if text:
-                components.append(platform_message.Plain(text=text))
-            return components
-        segments: list[tuple[int, int, object]] = sorted((m.index, m.index + m.length, m) for m in mention.mentionees)
-        cursor = 0
-        for start, end, mentionee in segments:
-            if start < cursor:
-                start, end = cursor, min(end, len(text))
-            if start < cursor or end <= start or end > len(text):
-                continue
-            if start > cursor:
-                components.append(platform_message.Plain(text=text[cursor:start]))
-            if isinstance(mentionee, UserMentionee):
-                target = self.bot_account_id if mentionee.is_self else mentionee.user_id
-                if not target:
-                    target = text[start:end]
-            else:
-                target = text[start:end]
-            # At.__str__ already prepends '@', so strip one from the LINE text token.
-            display = text[start:end].lstrip('@')
-            components.append(platform_message.At(target=str(target), display=display))
-            cursor = end
-        if cursor < len(text):
-            components.append(platform_message.Plain(text=text[cursor:]))
-        return components
-

 class LINEEventConverter(abstract_platform_adapter.AbstractEventConverter):
-    def __init__(self, bot_account_id: str = ''):
-        self.bot_account_id = bot_account_id
-        self.message_converter = LINEMessageConverter(bot_account_id)
-
    @staticmethod
    async def yiri2target(
        event: platform_events.MessageEvent,
    ) -> MessageEvent:
        pass

-    async def target2yiri(self, event, bot_client) -> platform_events.Event:
-        message_chain = await self.message_converter.target2yiri(event, bot_client)
+    @staticmethod
+    async def target2yiri(event, bot_client) -> platform_events.Event:
+        message_chain = await LINEMessageConverter.target2yiri(event, bot_client)

        if event.source.type == 'user':
            return platform_events.FriendMessage(
                sender=platform_entities.Friend(
-                    id=event.source.user_id,
+                    id=event.message.id,
                    nickname=event.source.user_id,
                    remark='',
                ),
@@ -153,19 +110,13 @@ class LINEEventConverter(abstract_platform_adapter.AbstractEventConverter):
                source_platform_object=event,
            )
        else:
-            # 'group' and 'room' sources carry the stable chat id under different
-            # field names; user_id may be absent for some members, so fall back
-            # to the group/room id rather than the per-message id.
-            group_id = event.source.group_id if event.source.type == 'group' else event.source.room_id
-            member_id = event.source.user_id or group_id
-
            return platform_events.GroupMessage(
                sender=platform_entities.GroupMember(
-                    id=member_id,
-                    member_name=member_id,
+                    id=event.event.sender.sender_id.open_id,
+                    member_name=event.event.sender.sender_id.union_id,
                    permission=platform_entities.Permission.Member,
                    group=platform_entities.Group(
-                        id=group_id,
+                        id=event.message.id,
                        name='',
                        permission=platform_entities.Permission.Member,
                    ),
@@ -212,8 +163,8 @@ class LINEAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
            listeners={},
            card_id_dict={},
            seq=1,
-            event_converter=LINEEventConverter(bot_account_id),
-            message_converter=LINEMessageConverter(bot_account_id),
+            event_converter=LINEEventConverter(),
+            message_converter=LINEMessageConverter(),
            line_webhook=line_webhook,
            parser=parser,
            configuration=configuration,
@@ -22,9 +22,9 @@ spec:
  categories:
    - global
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/line
-    en: https://langbot.app/docs/en/usage/platforms/line
-    ja: https://langbot.app/docs/ja/usage/platforms/line
+    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:
@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/wxoa
-    en: https://langbot.app/docs/en/usage/platforms/wxoa
-    ja: https://langbot.app/docs/ja/usage/platforms/wxoa
+    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:
@@ -16,9 +16,9 @@ spec:
    - popular
    - china
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/wechat/weixin
-    en: https://langbot.app/docs/en/usage/platforms/readme
-    ja: https://langbot.app/docs/ja/usage/platforms/readme
+    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:
@@ -205,7 +205,7 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
        bot = QQOfficialClient(
            app_id=config['appid'],
            secret=config['secret'],
-            token=config.get('token', ''),
+            token=config['token'],
            logger=logger,
            unified_mode=enable_webhook,
        )
@@ -329,12 +329,17 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
            content_type = content.get('type', 'text')

            if content_type == 'text':
-                if target_type in {'c2c', 'group'}:
-                    await self._send_c2c_or_group_text_reply(
-                        target_type,
+                if target_type == 'c2c':
+                    await self.bot.send_private_text_msg(
                        target_id,
                        content['content'],
-                        msg_id=qq_official_event.d_id,
+                        qq_official_event.d_id,
+                    )
+                elif target_type == 'group':
+                    await self.bot.send_group_text_msg(
+                        target_id,
+                        content['content'],
+                        qq_official_event.d_id,
                    )

            elif content_type == 'image':
@@ -378,39 +383,6 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
    async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
        pass

-    async def _send_c2c_or_group_text_reply(
-        self,
-        target_type: str,
-        target_id: str,
-        content: str,
-        *,
-        msg_id: typing.Optional[str] = None,
-        event_id: typing.Optional[str] = None,
-        msg_seq: int = 1,
-    ) -> None:
-        """Send a text reply using the configured C2C/group render mode."""
-        use_markdown = self.config.get('enable-markdown-rendering', False)
-        if target_type == 'c2c':
-            send = self.bot.send_private_markdown_msg if use_markdown else self.bot.send_private_text_msg
-            await send(
-                user_openid=target_id,
-                content=content,
-                msg_id=msg_id,
-                event_id=event_id,
-                msg_seq=msg_seq,
-            )
-        elif target_type == 'group':
-            send = self.bot.send_group_markdown_msg if use_markdown else self.bot.send_group_text_msg
-            await send(
-                group_openid=target_id,
-                content=content,
-                msg_id=msg_id,
-                event_id=event_id,
-                msg_seq=msg_seq,
-            )
-        else:
-            raise ValueError(f'Unsupported QQ Official text reply target: {target_type}')
-
    def register_listener(
        self,
        event_type: typing.Type[platform_events.Event],
@@ -678,13 +650,13 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
            # 用第一个 chunk 的文本建立会话（不发 "..." 避免污染前缀）
            ctx['session_started'] = True

-        # `replace` mode requires every update to contain the previously
-        # delivered content as its prefix. `sent_length` only tells us whether
-        # a non-final snapshot has new content; it must not truncate the
-        # content sent to QQ.
-        if len(ctx['accumulated_text']) <= ctx['sent_length'] and not is_final:
+        # 发送内容 = 全量累积文本
+        # QQ API 的 replace 模式不允许修改已下发前缀，所以：
+        # - 首次：发送全部文本，建立会话
+        # - 后续：只能发送新增部分（append 行为）
+        content_to_send = ctx['accumulated_text'][ctx['sent_length'] :]
+        if not content_to_send and not is_final:
            return
-        content_to_send = ctx['accumulated_text']

        input_state = 10 if is_final else 1

@@ -806,13 +778,20 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
            return

        try:
-            await self._send_c2c_or_group_text_reply(
-                target_type,
-                target_id,
-                text,
-                event_id=event_id,
-                msg_seq=msg_seq,
-            )
+            if target_type == 'c2c':
+                await self.bot.send_private_text_msg(
+                    user_openid=target_id,
+                    content=text,
+                    event_id=event_id,
+                    msg_seq=msg_seq,
+                )
+            elif target_type == 'group':
+                await self.bot.send_group_text_msg(
+                    group_openid=target_id,
+                    content=text,
+                    event_id=event_id,
+                    msg_seq=msg_seq,
+                )
        except Exception:
            await self.logger.error(f'QQ Official: synthetic reply delivery failed: {traceback.format_exc()}')

@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/qq/official_webhook
-    en: https://langbot.app/docs/en/usage/platforms/qq/official_webhook
-    ja: https://langbot.app/docs/ja/usage/platforms/qq/official_webhook
+    zh: https://link.langbot.app/zh/platforms/qqofficial
+    en: https://link.langbot.app/en/platforms/qqofficial
+    ja: https://link.langbot.app/ja/platforms/qqofficial
  config:
    - name: __system.outbound_ips
      label:
@@ -95,18 +95,6 @@ spec:
      type: boolean
      required: true
      default: false
-    - name: enable-markdown-rendering
-      label:
-        en_US: Enable Markdown Rendering
-        zh_Hans: 启用 Markdown 渲染
-        zh_Hant: 啟用 Markdown 渲染
-      description:
-        en_US: Render non-stream C2C and QQ group text replies as Markdown. Channel messages always use plain text and are not affected by this setting.
-        zh_Hans: 将非流式 C2C 私聊和 QQ 群聊文本回复渲染为 Markdown。频道消息始终以纯文本发送，不受此设置影响。
-        zh_Hant: 將非串流 C2C 私聊與 QQ 群聊文字回覆渲染為 Markdown。頻道訊息一律以純文字傳送，不受此設定影響。
-      type: boolean
-      required: true
-      default: false
    - name: webhook_url
      label:
        en_US: Webhook Callback URL
@@ -21,9 +21,9 @@ spec:
  categories:
    - protocol
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/readme
-    en: https://langbot.app/docs/en/usage/platforms/readme
-    ja: https://langbot.app/docs/ja/usage/platforms/readme
+    zh: https://link.langbot.app/zh/platforms/satori
+    en: https://link.langbot.app/en/platforms/satori
+    ja: https://link.langbot.app/ja/platforms/satori
  config:
    - name: platform
      label:
@@ -24,9 +24,9 @@ spec:
    - popular
    - global
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/slack
-    en: https://langbot.app/docs/en/usage/platforms/slack
-    ja: https://langbot.app/docs/ja/usage/platforms/slack
+    zh: https://link.langbot.app/zh/platforms/slack
+    en: https://link.langbot.app/en/platforms/slack
+    ja: https://link.langbot.app/ja/platforms/slack
  config:
    - name: webhook_url
      label:
@@ -24,9 +24,9 @@ spec:
    - popular
    - global
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/telegram
-    en: https://langbot.app/docs/en/usage/platforms/telegram
-    ja: https://langbot.app/docs/ja/usage/platforms/telegram
+    zh: https://link.langbot.app/zh/platforms/telegram
+    en: https://link.langbot.app/en/platforms/telegram
+    ja: https://link.langbot.app/ja/platforms/telegram
  config:
    - name: token
      label:
@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/wechat/wechatpad
-    en: https://langbot.app/docs/en/usage/platforms/readme
-    ja: https://langbot.app/docs/ja/usage/platforms/readme
+    zh: https://link.langbot.app/zh/platforms/wechatpad
+    en: https://link.langbot.app/en/platforms/wechatpad
+    ja: https://link.langbot.app/ja/platforms/wechatpad
  config:
    - name: wechatpad_url
      label:
@@ -274,11 +274,11 @@ class WecomAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                if content['type'] == 'text':
                    await self.bot.send_private_msg(user_id, agent_id, content['content'])
                if content['type'] == 'image':
-                    await self.bot.send_image(user_id, agent_id, content['media_id'])
+                    await self.bot.send_image(user_id, agent_id, content['media'])
                if content['type'] == 'voice':
-                    await self.bot.send_voice(user_id, agent_id, content['media_id'])
+                    await self.bot.send_voice(user_id, agent_id, content['media'])
                if content['type'] == 'file':
-                    await self.bot.send_file(user_id, agent_id, content['media_id'])
+                    await self.bot.send_file(user_id, agent_id, content['media'])

    def register_listener(
        self,
@@ -16,9 +16,9 @@ spec:
    - popular
    - china
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/wecom/wecom
-    en: https://langbot.app/docs/en/usage/platforms/wecom/wecom
-    ja: https://langbot.app/docs/ja/usage/platforms/wecom/wecom
+    zh: https://link.langbot.app/zh/platforms/wecom
+    en: https://link.langbot.app/en/platforms/wecom
+    ja: https://link.langbot.app/ja/platforms/wecom
  config:
    - name: webhook_url
      label:
@@ -3,10 +3,8 @@ import typing
 import asyncio
 import time
 import traceback
-import base64

 import datetime
-
 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
@@ -26,24 +24,11 @@ from langbot.libs.wecom_ai_bot_api.ws_client import WecomBotWsClient
 class WecomBotMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
    @staticmethod
    async def yiri2target(message_chain: platform_message.MessageChain):
-        """Convert a MessageChain into a list of component dicts.
-
-        Each dict has a ``type`` key (``'text'``, ``'image'``,
-        ``'voice'``, ``'file'``). Text items carry ``text``; media
-        items carry ``base64`` (may include a ``data:...;base64,``
-        prefix) and optionally ``name``.
-        """
-        items: list[dict] = []
+        content = ''
        for msg in message_chain:
            if type(msg) is platform_message.Plain:
-                items.append({'type': 'text', 'text': msg.text})
-            elif type(msg) is platform_message.Image:
-                items.append({'type': 'image', 'base64': msg.base64 or ''})
-            elif type(msg) is platform_message.Voice:
-                items.append({'type': 'voice', 'base64': msg.base64 or ''})
-            elif type(msg) is platform_message.File:
-                items.append({'type': 'file', 'base64': msg.base64 or '', 'name': msg.name or ''})
-        return items
+                content += msg.text
+        return content

    @staticmethod
    async def target2yiri(event: WecomBotEvent, bot_name: str = ''):
@@ -377,76 +362,13 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                }
            )

-    @staticmethod
-    def _join_text_components(items: list[dict]) -> str:
-        """Concatenate ``text`` items in order, leaving media items alone."""
-        return ''.join(item['text'] for item in items if item.get('type') == 'text')
-
-    @staticmethod
-    def _iter_media_components(items: list[dict]):
-        """Yield non-text items in order."""
-        for item in items:
-            if item.get('type') in {'image', 'voice', 'file'}:
-                yield item
-
-    @staticmethod
-    async def _send_media(
-        bot,
-        req_id: str,
-        item: dict,
-    ) -> bool:
-        """Upload *item* to the WeCom AI Bot CDN and send it as a media reply.
-
-        Returns True on success. Falls back to a no-op (with a warning log)
-        if the SDK does not yet implement ``upload_media`` /
-        ``reply_image`` / ``reply_file`` / ``reply_voice`` — the framework
-        will keep working, just without image delivery.
-        """
-        kind = item.get('type')
-        upload = getattr(bot, 'upload_media', None)
-        if upload is None:
-            return False
-        b64_text = item.get('base64') or ''
-        if not b64_text:
-            return False
-        if b64_text.startswith('data:') and ',' in b64_text:
-            b64_text = b64_text.split(',', 1)[1]
-        try:
-            data = base64.b64decode(b64_text, validate=False)
-        except Exception:
-            return False
-        if not data:
-            return False
-        try:
-            upload_result = await upload(data, item.get('name') or f'attachment.{kind}', media_type=kind)
-        except Exception:
-            return False
-        media_id = getattr(upload_result, 'media_id', None) or (
-            isinstance(upload_result, dict) and upload_result.get('media_id')
-        )
-        if not media_id:
-            return False
-        reply_fn = {
-            'image': getattr(bot, 'reply_image', None),
-            'file': getattr(bot, 'reply_file', None),
-            'voice': getattr(bot, 'reply_voice', None),
-        }.get(kind)
-        if reply_fn is None:
-            return False
-        try:
-            await reply_fn(req_id, media_id)
-            return True
-        except Exception:
-            return False
-
    async def reply_message(
        self,
        message_source: platform_events.MessageEvent,
        message: platform_message.MessageChain,
        quote_origin: bool = False,
    ):
-        items = await self.message_converter.yiri2target(message)
-        text = self._join_text_components(items)
+        content = await self.message_converter.yiri2target(message)
        _ws_mode = not self.config.get('enable-webhook', False)

        event = message_source.source_platform_object
@@ -460,7 +382,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                else:
                    chat_id = str(message_source.sender.id)
                try:
-                    await self.bot.send_message(chat_id, text)
+                    await self.bot.send_message(chat_id, content)
                except Exception:
                    await self.logger.error(
                        f'WeComBot: proactive reply for synthetic event failed: {traceback.format_exc()}'
@@ -474,15 +396,12 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):

        if _ws_mode:
            req_id = event.get('req_id', '') if isinstance(event, dict) else getattr(event, 'req_id', '')
-            if text:
-                if req_id:
-                    await self.bot.reply_text(req_id, text)
-                else:
-                    await self.bot.set_message(event.message_id, text)
-            for item in self._iter_media_components(items):
-                await self._send_media(self.bot, req_id, item)
+            if req_id:
+                await self.bot.reply_text(req_id, content)
+            else:
+                await self.bot.set_message(event.message_id, content)
        else:
-            await self.bot.set_message(event.message_id, text)
+            await self.bot.set_message(event.message_id, content)

    async def reply_message_chunk(
        self,
@@ -492,8 +411,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
        quote_origin: bool = False,
        is_final: bool = False,
    ):
-        items = await self.message_converter.yiri2target(message)
-        text = self._join_text_components(items)
+        content = await self.message_converter.yiri2target(message)
        _ws_mode = not self.config.get('enable-webhook', False)

        # Synthetic events (e.g. button-click triggered form resume) have
@@ -502,7 +420,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
        # of the stream/reply path.
        spo = message_source.source_platform_object
        if spo is None:
-            return await self._handle_synthetic_chunk(message_source, bot_message, text, is_final, _ws_mode)
+            return await self._handle_synthetic_chunk(message_source, bot_message, content, is_final, _ws_mode)

        msg_id = spo.message_id

@@ -534,7 +452,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                    form_data.get('actions', []) or [],
                )
            except Exception:
-                fallback = text or '（人工输入）'
+                fallback = content or '（人工输入）'
            if _ws_mode:
                event = message_source.source_platform_object
                req_id = event.get('req_id', '') if isinstance(event, dict) else getattr(event, 'req_id', '')
@@ -545,22 +463,17 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
            return {'stream': False, 'form': True, 'fallback': True}

        if _ws_mode:
-            success = await self.bot.push_stream_chunk(msg_id, text, is_final=is_final)
+            success = await self.bot.push_stream_chunk(msg_id, content, is_final=is_final)
            if not success and is_final:
                event = message_source.source_platform_object
                req_id = event.get('req_id', '')
                if req_id:
-                    await self.bot.reply_text(req_id, text)
-            if is_final:
-                event = message_source.source_platform_object
-                req_id = event.get('req_id', '')
-                for item in self._iter_media_components(items):
-                    await self._send_media(self.bot, req_id, item)
+                    await self.bot.reply_text(req_id, content)
            return {'stream': success}
        else:
-            success = await self.bot.push_stream_chunk(msg_id, text, is_final=is_final)
+            success = await self.bot.push_stream_chunk(msg_id, content, is_final=is_final)
            if not success and is_final:
-                await self.bot.set_message(msg_id, text)
+                await self.bot.set_message(msg_id, content)
            return {'stream': success}

    async def is_stream_output_supported(self) -> bool:
@@ -714,9 +627,8 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
    async def send_message(self, target_type, target_id, message):
        _ws_mode = not self.config.get('enable-webhook', False)
        if _ws_mode:
-            items = await self.message_converter.yiri2target(message)
-            text = self._join_text_components(items)
-            await self.bot.send_message(target_id, text)
+            content = await self.message_converter.yiri2target(message)
+            await self.bot.send_message(target_id, content)
        else:
            pass

@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/wecom/wecombot
-    en: https://langbot.app/docs/en/usage/platforms/wecom/wecombot
-    ja: https://langbot.app/docs/ja/usage/platforms/wecom/wecombot
+    zh: https://link.langbot.app/zh/platforms/wecombot
+    en: https://link.langbot.app/en/platforms/wecombot
+    ja: https://link.langbot.app/ja/platforms/wecombot
  config:
    - name: one-click-create
      label:
@@ -107,7 +107,7 @@ class WecomEventConverter(abstract_platform_adapter.AbstractEventConverter):
        if event.type == 'text':
            yiri_chain = await WecomMessageConverter.target2yiri(event.message, event.message_id)
            friend = platform_entities.Friend(
-                id=f'{event.receiver_id}|u{event.user_id}',
+                id=f'u{event.user_id}',
                nickname=nickname,
                remark='',
            )
@@ -117,7 +117,7 @@ class WecomEventConverter(abstract_platform_adapter.AbstractEventConverter):
            )
        elif event.type == 'image':
            friend = platform_entities.Friend(
-                id=f'{event.receiver_id}|u{event.user_id}',
+                id=f'u{event.user_id}',
                nickname=nickname,
                remark='',
            )
@@ -197,7 +197,7 @@ class WecomCSAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):

        content_list = await WecomMessageConverter.yiri2target(message, self.bot)
        for content in content_list:
-            msgid = f'{uuid.uuid4().hex}'
+            msgid = f'langbot_{uuid.uuid4().hex}'
            if content['type'] == 'text':
                await self.bot.send_text_msg(
                    open_kfid=open_kfid,
@@ -205,13 +205,6 @@ class WecomCSAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                    msgid=msgid,
                    content=content['content'],
                )
-            elif content['type'] == 'image':
-                await self.bot.send_image_msg(
-                    open_kfid=open_kfid,
-                    external_userid=external_userid,
-                    msgid=msgid,
-                    media_id=content['media_id'],
-                )

    def set_bot_uuid(self, bot_uuid: str):
        """设置 bot UUID（用于生成 webhook URL）"""
@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://langbot.app/docs/zh/usage/platforms/wecom/wecomcs
-    en: https://langbot.app/docs/en/usage/platforms/wecom/wecomcs
-    ja: https://langbot.app/docs/ja/usage/platforms/wecom/wecomcs
+    zh: https://link.langbot.app/zh/platforms/wecomcs
+    en: https://link.langbot.app/en/platforms/wecomcs
+    ja: https://link.langbot.app/ja/platforms/wecomcs
  config:
    - name: webhook_url
      label:
@@ -264,11 +264,6 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
        if not self._control_token and allow_generate:
            self._control_token = secrets.token_urlsafe(48)
        if not self._control_token:
-            if self.runtime_profile == 'shared':
-                raise PluginRuntimeNotConnectedError(
-                    f'{PLUGIN_RUNTIME_CONTROL_TOKEN_ENV} must be configured with a strong shared secret '
-                    'for a Cloud Plugin Runtime'
-                )
            return {}
        try:
            self._control_token = validate_runtime_secret(
@@ -701,13 +696,7 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
            }
            self._known_desired_states.update({state.binding.installation_uuid: state for state in desired_states})

-        reconcile_timeout_seconds = max(
-            300.0, self._runtime_connect_timeout(self.ap.instance_config.data.get('plugin', {}))
-        )
-        result = await runtime_handler.reconcile_plugin_installations(
-            tuple(self._known_desired_states.values()),
-            timeout=reconcile_timeout_seconds,
-        )
+        result = await runtime_handler.reconcile_plugin_installations(tuple(self._known_desired_states.values()))
        await self._repair_reconcile_missing_artifacts(self._known_desired_states, result)
        self._record_reconcile_failures(self._known_desired_states, result)

@@ -742,13 +731,7 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
                    if state.binding.installation_uuid in all_states:
                        raise ValueError('Duplicate plugin installation UUID across projected Workspaces')
                    all_states[state.binding.installation_uuid] = state
-            reconcile_timeout_seconds = max(
-                300.0, self._runtime_connect_timeout(self.ap.instance_config.data.get('plugin', {}))
-            )
-            result = await runtime_handler.reconcile_plugin_installations(
-                tuple(all_states.values()),
-                timeout=reconcile_timeout_seconds,
-            )
+            result = await runtime_handler.reconcile_plugin_installations(tuple(all_states.values()))
            await self._repair_reconcile_missing_artifacts(all_states, result)
            self._record_reconcile_failures(all_states, result)
            for installation_uuid, previous in tuple(self._known_desired_states.items()):
@@ -1913,14 +1896,9 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):

        return plugins

-    async def get_plugin_info(self, author: str, plugin_name: str) -> dict[str, Any] | None:
+    async def get_plugin_info(self, author: str, plugin_name: str) -> dict[str, Any]:
        runtime_handler = self._runtime_handler()
-        try:
-            binding = await self._target_binding(author, plugin_name)
-        except ValueError as exc:
-            if str(exc) == f'Plugin {author}/{plugin_name} is not installed in this Workspace':
-                return None
-            raise
+        binding = await self._target_binding(author, plugin_name)
        with runtime_handler.installation_scope(binding):
            return await runtime_handler.get_plugin_info(author, plugin_name)

@@ -11,8 +11,6 @@ import traceback
 from dataclasses import dataclass

 import sqlalchemy
-import sqlalchemy.dialects.postgresql
-import sqlalchemy.dialects.sqlite

 from langbot_plugin.runtime.io import handler
 from langbot_plugin.runtime.io.connection import Connection
@@ -433,19 +431,6 @@ class RuntimeConnectionHandler(handler.Handler):
            return f'{identity.plugin_author}/{identity.plugin_name}'
        raise ValueError(f'Unsupported binary storage owner_type {owner_type!r}')

-    @staticmethod
-    def _legacy_binary_storage_key(
-        action_context: ActionContext,
-        *,
-        owner_type: str,
-        owner: str,
-        key: str,
-    ) -> str:
-        """Return the pre-tenancy key shape for a row already scoped to this Workspace."""
-
-        legacy_owner = action_context.workspace_uuid if owner_type == 'workspace' else owner
-        return f'{owner_type}:{legacy_owner}:{key}'
-
    @classmethod
    def _binary_storage_key(
        cls,
@@ -911,82 +896,25 @@ class RuntimeConnectionHandler(handler.Handler):
                .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
                .where(persistence_bstorage.BinaryStorage.unique_key == unique_key)
            )
-            storage = result.first()
-            if storage is None:
-                legacy_key = self._legacy_binary_storage_key(
-                    action_context,
-                    owner_type=owner_type,
-                    owner=owner,
-                    key=key,
-                )
-                result = await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.select(persistence_bstorage.BinaryStorage)
-                    .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
-                    .where(persistence_bstorage.BinaryStorage.unique_key == legacy_key)
-                    .where(persistence_bstorage.BinaryStorage.key == key)
-                    .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
-                    .where(persistence_bstorage.BinaryStorage.owner == owner)
-                )
-                storage = result.first()
-                if storage is not None:
-                    update_result = await self.ap.persistence_mgr.execute_async(
-                        sqlalchemy.update(persistence_bstorage.BinaryStorage)
-                        .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
-                        .where(persistence_bstorage.BinaryStorage.unique_key == legacy_key)
-                        .where(persistence_bstorage.BinaryStorage.key == key)
-                        .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
-                        .where(persistence_bstorage.BinaryStorage.owner == owner)
-                        .values(unique_key=unique_key, value=value)
-                    )
-                    if update_result.rowcount:
-                        return handler.ActionResponse.success(data={})
-                    canonical_update = await self.ap.persistence_mgr.execute_async(
-                        sqlalchemy.update(persistence_bstorage.BinaryStorage)
-                        .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
-                        .where(persistence_bstorage.BinaryStorage.unique_key == unique_key)
-                        .where(persistence_bstorage.BinaryStorage.key == key)
-                        .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
-                        .where(persistence_bstorage.BinaryStorage.owner == owner)
-                        .values(value=value)
-                    )
-                    if canonical_update.rowcount:
-                        return handler.ActionResponse.success(data={})
-                    storage = None

-            if storage is not None:
+            if result.first() is not None:
                await self.ap.persistence_mgr.execute_async(
                    sqlalchemy.update(persistence_bstorage.BinaryStorage)
                    .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
                    .where(persistence_bstorage.BinaryStorage.unique_key == unique_key)
-                    .where(persistence_bstorage.BinaryStorage.key == key)
-                    .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
-                    .where(persistence_bstorage.BinaryStorage.owner == owner)
                    .values(value=value)
                )
-                return handler.ActionResponse.success(data={})
-
-            dialect_name = self.ap.persistence_mgr.get_db_engine().dialect.name
-            insert = {
-                'postgresql': sqlalchemy.dialects.postgresql.insert,
-                'sqlite': sqlalchemy.dialects.sqlite.insert,
-            }.get(dialect_name)
-            if insert is None:
-                return handler.ActionResponse.error(message=f'Unsupported storage database dialect: {dialect_name}')
-            await self.ap.persistence_mgr.execute_async(
-                insert(persistence_bstorage.BinaryStorage)
-                .values(
-                    workspace_uuid=action_context.workspace_uuid,
-                    unique_key=unique_key,
-                    key=key,
-                    owner_type=owner_type,
-                    owner=owner,
-                    value=value,
+            else:
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.insert(persistence_bstorage.BinaryStorage).values(
+                        workspace_uuid=action_context.workspace_uuid,
+                        unique_key=unique_key,
+                        key=key,
+                        owner_type=owner_type,
+                        owner=owner,
+                        value=value,
+                    )
                )
-                .on_conflict_do_update(
-                    index_elements=['workspace_uuid', 'unique_key'],
-                    set_={'value': value},
-                )
-            )

            return handler.ActionResponse.success(
                data={},
@@ -1018,29 +946,6 @@ class RuntimeConnectionHandler(handler.Handler):
            )

            storage = result.first()
-            if storage is None:
-                legacy_key = self._legacy_binary_storage_key(
-                    action_context,
-                    owner_type=owner_type,
-                    owner=owner,
-                    key=key,
-                )
-                result = await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.select(persistence_bstorage.BinaryStorage)
-                    .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
-                    .where(persistence_bstorage.BinaryStorage.unique_key == legacy_key)
-                    .where(persistence_bstorage.BinaryStorage.key == key)
-                    .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
-                    .where(persistence_bstorage.BinaryStorage.owner == owner)
-                )
-                storage = result.first()
-                if storage is None:
-                    retry_result = await self.ap.persistence_mgr.execute_async(
-                        sqlalchemy.select(persistence_bstorage.BinaryStorage)
-                        .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
-                        .where(persistence_bstorage.BinaryStorage.unique_key == unique_key)
-                    )
-                    storage = retry_result.first()
            if storage is None:
                return handler.ActionResponse.error(
                    message=f'Storage with key {key} not found',
@@ -1076,19 +981,10 @@ class RuntimeConnectionHandler(handler.Handler):
                    message=str(e),
                )

-            legacy_key = self._legacy_binary_storage_key(
-                action_context,
-                owner_type=owner_type,
-                owner=owner,
-                key=key,
-            )
            await self.ap.persistence_mgr.execute_async(
                sqlalchemy.delete(persistence_bstorage.BinaryStorage)
                .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
-                .where(persistence_bstorage.BinaryStorage.unique_key.in_((unique_key, legacy_key)))
-                .where(persistence_bstorage.BinaryStorage.key == key)
-                .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
-                .where(persistence_bstorage.BinaryStorage.owner == owner)
+                .where(persistence_bstorage.BinaryStorage.unique_key == unique_key)
            )

            return handler.ActionResponse.success(
@@ -1116,7 +1012,7 @@ class RuntimeConnectionHandler(handler.Handler):

            return handler.ActionResponse.success(
                data={
-                    'keys': list(dict.fromkeys(result.scalars().all())),
+                    'keys': result.scalars().all(),
                },
            )

@@ -1677,15 +1573,13 @@ class RuntimeConnectionHandler(handler.Handler):
    async def reconcile_plugin_installations(
        self,
        installations: tuple[PluginInstallationDesiredState, ...],
-        *,
-        timeout: float = 300,
    ) -> dict[str, Any]:
        request = ReconcilePluginInstallationsRequest(installations=installations)
        with self.installation_scope(None):
            return await self.call_action(
                LangBotToRuntimeAction.RECONCILE_PLUGIN_INSTALLATIONS,
                request.model_dump(),
-                timeout=timeout,
+                timeout=120,
            )

    async def apply_plugin_installation(
@@ -573,7 +573,7 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
            levels = ['provider_default', 'disabled', 'enabled']
        elif family == 'doubao':
            levels = ['provider_default', 'disabled', 'low', 'medium', 'high']
-        elif family in ('ollama', 'ollama_chat'):
+        elif family == 'ollama':
            levels = ['provider_default']
            levels.append('disabled')
            if normalized_name.startswith('gpt-oss') or '/gpt-oss' in normalized_name:
@@ -747,24 +747,9 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
                converted_parts = []
                for part in content:
                    if isinstance(part, dict) and part.get('type') == 'image_base64':
-                        # History trimming (SessionManager) clears image_base64
-                        # on past turns and exclude_none serialization drops
-                        # the key entirely, so the replayed part may carry no
-                        # payload. Prefer the base64 payload; fall back to an
-                        # image_url that survived on the same element; drop
-                        # hollow parts instead of raising KeyError (#2469).
-                        image_b64 = part.get('image_base64')
-                        fallback_url = None
-                        if not image_b64:
-                            raw_image_url = part.get('image_url')
-                            if isinstance(raw_image_url, dict):
-                                fallback_url = raw_image_url.get('url')
-                        if image_b64 or fallback_url:
-                            part['image_url'] = {'url': image_b64 or fallback_url}
-                            part['type'] = 'image_url'
-                            part.pop('image_base64', None)
-                        else:
-                            continue
+                        part['image_url'] = {'url': part['image_base64']}
+                        part['type'] = 'image_url'
+                        del part['image_base64']
                    # OpenAI-compatible chat models reject non-image file parts
                    # (audio/document base64 or url). These originate from Voice /
                    # File attachments — including ones replayed from conversation
@@ -1345,14 +1330,7 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
        extra_args: dict[str, typing.Any] = {},
    ) -> tuple[list[list[float]], dict]:
        """Invoke embedding and return vectors with usage info."""
-        # litellm's embedding routing has no "ollama_chat" branch (that provider
-        # exists only for /api/chat completions) — embeddings still go through
-        # the plain "ollama" provider. Requesters configured for ollama_chat
-        # (to get native tool-calling on the chat path) must fall back to
-        # "ollama" here specifically, or embedding calls raise "Unmapped LLM
-        # provider for this endpoint".
-        embedding_provider = 'ollama' if self._get_custom_llm_provider() == 'ollama_chat' else None
-        model_name = self._build_litellm_model_name(model.model_entity.name, embedding_provider)
+        model_name = self._build_litellm_model_name(model.model_entity.name)
        api_key = model.provider.token_mgr.get_token()

        args = {
@@ -1548,12 +1526,6 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
                event_hooks=httpclient.httpx_response_limit_hooks(),
            ) as client:
                response = await client.get(models_url, headers=headers)
-                if response.status_code == 404 and not base_url.rstrip('/').endswith('/v1'):
-                    # Some OpenAI-compatible servers (notably a bare Ollama host,
-                    # e.g. http://host:11434) expose the model list under /v1/models
-                    # rather than /models. Providers whose configured base_url
-                    # already ends in /v1 keep their original (working) URL.
-                    response = await client.get(f'{base_url}/v1/models', headers=headers)
                response.raise_for_status()
                payload = await httpclient.parse_json_response(response)

@@ -7,7 +7,7 @@ metadata:
    zh_Hans: Ollama
  icon: ollama.svg
 spec:
-  litellm_provider: ollama_chat
+  litellm_provider: ollama
  config:
  - name: base_url
    label:
@@ -24,10 +24,7 @@ class SeekDBEmbedding(requester.ProviderAPIRequester):
        try:
            import pyseekdb
        except ImportError:
-            raise ImportError(
-                "SeekDB support is not installed. Install LangBot with the 'seekdb' extra: "
-                "uv sync --extra seekdb (source) or uvx --from 'langbot[seekdb]@latest' langbot (PyPI)."
-            )
+            raise ImportError('pyseekdb is not installed. Install it with: pip install pyseekdb')

        self._embedding_function = pyseekdb.get_default_embedding_function()

@@ -619,9 +619,7 @@ class LocalAgentRunner(runner.RequestRunner):
                        and len(func_ret) > 0
                        and isinstance(func_ret[0], provider_message.ContentElement)
                    ):
-                        # OpenAI-compatible APIs require tool-message content to be a
-                        # string; a raw list of ContentElement causes HTTP 500 (#2457).
-                        tool_content = '\n'.join(str(ce) for ce in func_ret)
+                        tool_content = func_ret
                    else:
                        tool_content = json.dumps(func_ret, ensure_ascii=False)

@@ -39,9 +39,6 @@ class N8nServiceAPIRunner(runner.RequestRunner):

        # 获取输出键名，默认为response
        self.output_key = self.pipeline_config['ai']['n8n-service-api'].get('output-key', 'response')
-        self.response_handling = self.pipeline_config['ai']['n8n-service-api'].get('response-handling', 'reply')
-        if self.response_handling not in {'reply', 'ignore'}:
-            raise ValueError(f'Invalid n8n response-handling: {self.response_handling}')

        # 获取认证类型，默认为none
        self.auth_type = self.pipeline_config['ai']['n8n-service-api'].get('auth-type', 'none')
@@ -265,11 +262,7 @@ class N8nServiceAPIRunner(runner.RequestRunner):
            async with session.post(
                self.webhook_url, json=payload, headers=headers, auth=auth, timeout=self.timeout
            ) as response:
-                if self.response_handling == 'ignore':
-                    status_ok = 200 <= response.status < 300
-                else:
-                    status_ok = response.status == 200
-                if not status_ok:
+                if response.status != 200:
                    error_text = (
                        await httpclient.read_limited(
                            response,
@@ -279,11 +272,6 @@ class N8nServiceAPIRunner(runner.RequestRunner):
                    self.ap.logger.error(f'n8n webhook call failed: {response.status}, {error_text}')
                    raise Exception(f'n8n webhook call failed: {response.status}, {error_text}')

-                if self.response_handling == 'ignore':
-                    response.release()
-                    self.ap.logger.debug('n8n async webhook accepted; response body ignored')
-                    return
-
                async for chunk in self._process_response(response):
                    if is_stream:
                        yield chunk
@@ -222,7 +222,6 @@ class NativeToolLoader(loader.ToolLoader):
            self.ap.logger.warning(
                'Native sandbox tools (exec/read/write/edit/glob/grep) are NOT available. '
                'No sandbox backend (Docker/nsjail/E2B) is ready. '
-                'Trusted local development may explicitly select box.backend=host. '
                'The LLM will not have access to code execution or file operation tools.'
            )

@@ -42,8 +42,7 @@ class SkillToolLoader(loader.ToolLoader):
        else:
            self.ap.logger.info(
                'Skill tools (activate/register_skill) are NOT available. '
-                'No sandbox backend (Docker/nsjail/E2B) is ready. '
-                'Trusted local development may explicitly select box.backend=host.'
+                'No sandbox backend (Docker/nsjail/E2B) is ready.'
            )

    async def _check_sandbox_available(self) -> bool:
@@ -27,16 +27,10 @@ class SafeRegexTimeoutError(SafeRegexError):
    """Raised when the regex engine exhausts the operation CPU budget."""


-def _validate_patterns(
-    patterns: Sequence[str],
-    *,
-    max_pattern_count: int = MAX_PATTERN_COUNT,
-) -> tuple[str, ...]:
-    if max_pattern_count < 1:
-        raise ValueError('max_pattern_count must be positive')
-    if len(patterns) > max_pattern_count:
-        raise SafeRegexLimitError(f'At most {max_pattern_count} regex patterns are allowed')
+def _validate_patterns(patterns: Sequence[str]) -> tuple[str, ...]:
    normalized = tuple(patterns)
+    if len(normalized) > MAX_PATTERN_COUNT:
+        raise SafeRegexLimitError(f'At most {MAX_PATTERN_COUNT} regex patterns are allowed')
    for pattern in normalized:
        if not isinstance(pattern, str):
            raise SafeRegexError('Regex patterns must be strings')
@@ -121,9 +115,8 @@ def _mask_patterns_sync(
    mask: str,
    mask_word: str,
    timeout_seconds: float,
-    max_pattern_count: int,
 ) -> tuple[bool, str]:
-    normalized_patterns = _validate_patterns(patterns, max_pattern_count=max_pattern_count)
+    normalized_patterns = _validate_patterns(patterns)
    _validate_input(value)
    if len(mask) > MAX_REPLACEMENT_CHARS or len(mask_word) > MAX_REPLACEMENT_CHARS:
        raise SafeRegexLimitError(f'Regex replacements may contain at most {MAX_REPLACEMENT_CHARS} characters')
@@ -169,7 +162,6 @@ async def mask_patterns(
    mask: str,
    mask_word: str,
    timeout_seconds: float = DEFAULT_OPERATION_TIMEOUT_SECONDS,
-    max_pattern_count: int = MAX_PATTERN_COUNT,
 ) -> tuple[bool, str]:
    """Apply untrusted masking patterns with bounded CPU and output growth."""

@@ -182,5 +174,4 @@ async def mask_patterns(
        mask=mask,
        mask_word=mask_word,
        timeout_seconds=timeout_seconds,
-        max_pattern_count=max_pattern_count,
    )
@@ -83,7 +83,7 @@ class VersionManager:
        try:
            if await self.is_new_version_available():
                return (
-                    'New version available. Update guide: https://langbot.app/docs/en/deploy/update',
+                    'New version available. Update guide: https://link.langbot.app/en/docs/update',
                    logging.INFO,
                )
        except Exception as e:
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
fdc310	e211d3aae6	fix(itchat): correct group/private message handling and sender resolution - filter the bot's own messages to prevent reply loops - use startswith('@@') for group detection - use ActualUserName as stable GroupMember id - fill Friend.remark from RemarkName - strip @mention prefix with a regex	2026-08-13 11:18:09 +08:00
fdc310	42f1f00772	Merge remote-tracking branch 'origin/master' into feature/itchat-adapter # Conflicts: # src/langbot/pkg/api/http/controller/groups/platform/adapters.py # src/langbot/pkg/plugin/connector.py # uv.lock # web/src/app/home/bots/BotDetailContent.tsx # web/src/app/home/components/dynamic-form/DynamicFormItemComponent.tsx # web/src/app/home/components/qrcode-login/QrCodeLoginDialog.tsx	2026-08-12 16:58:58 +08:00
fdc310	1ed107c9d5	feat(dynamic-form): enhance select handling with empty option support and UUID filtering	2026-07-06 13:36:58 +08:00
fdc310	0cce418956	feat(itchat): improve login session handling and error reporting	2026-07-02 14:40:13 +08:00
fdc310	d4e8ccd161	feat: enhance itchat adapter with runtime status tracking and UI integration	2026-07-02 13:56:24 +08:00
fdc310	78fb40a28a	feat: add itchat-uos WeChat adapter with QR code login - Add itchat-uos adapter supporting personal WeChat via QR code login - Implement message/event converters for text, image, voice, sharing types - Bridge sync itchat callbacks to async LangBot pipeline via asyncio - Add QR login API endpoints with session management - Add frontend QR code login dialog integration - Fix plugin connector handler attribute check - Use fresh Core instance per login to avoid singleton state pollution	2026-07-01 18:03:26 +08:00