style: format Codex live integration test

feat(provider): support Codex subscriptions with ChatGPT sign-in
docs: replace legacy documentation shortlinks (#2510 )
2026-09-06 09:37:13 +00:00 · 2026-09-06 07:53:30 +00:00 · 2026-09-06 07:52:13 +00:00 · 2026-09-05 01:19:28 +08:00 · 2026-09-05 00:55:18 +08:00 · 2026-09-04 22:36:40 +08:00
182 changed files with 9662 additions and 737 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://link.langbot.app/zh/docs/network  
+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
 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://link.langbot.app/en/docs/network
+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
 title: "[Bug]: "
 labels: ["bug?"]
 body:
@@ -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://docs.langbot.app/zh/develop/dev-config.
- Plugin runtime / CLI / SDK debugging: https://docs.langbot.app/zh/develop/plugin-runtime.
+- Dev environment guide: https://langbot.app/docs/zh/develop/dev-config.
+- Plugin runtime / CLI / SDK debugging: https://langbot.app/docs/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.
@@ -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://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://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://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://link.langbot.app/en/docs/features)
+[→ Learn more about all features](https://langbot.app/docs/en/insight/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/).

@@ -89,7 +89,7 @@ docker compose --profile all up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**More options:** [Docker](https://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)
+**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)

 ---

@@ -151,7 +151,7 @@ _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://link.langbot.app/en/docs/features)
+[→ View all integrations](https://langbot.app/docs/en/insight/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://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://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://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://link.langbot.app/zh/docs/features)
+[→ 了解更多功能特性](https://langbot.app/docs/zh/insight/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/)。

@@ -89,7 +89,7 @@ docker compose --profile all up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**更多方式：** [Docker](https://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)
+**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)

 ---

@@ -152,7 +152,7 @@ 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://link.langbot.app/zh/docs/features)
+[→ 查看完整集成列表](https://langbot.app/docs/zh/insight/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://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://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://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://link.langbot.app/en/docs/features)
+[→ Conocer más sobre todas las funcionalidades](https://langbot.app/docs/en/insight/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/).

@@ -88,7 +88,7 @@ docker compose --profile all up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Más opciones:** [Docker](https://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)
+**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)

 ---

@@ -149,7 +149,7 @@ 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://link.langbot.app/en/docs/features)
+[→ Ver todas las integraciones](https://langbot.app/docs/en/insight/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://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://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://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://link.langbot.app/en/docs/features)
+[→ En savoir plus sur toutes les fonctionnalités](https://langbot.app/docs/en/insight/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/).

@@ -88,7 +88,7 @@ docker compose --profile all up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Plus d'options :** [Docker](https://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)
+**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)

 ---

@@ -149,7 +149,7 @@ 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://link.langbot.app/en/docs/features)
+[→ Voir toutes les intégrations](https://langbot.app/docs/en/insight/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://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://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://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://link.langbot.app/ja/docs/features)
+[→ すべての機能について詳しく見る](https://langbot.app/docs/ja/insight/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/)。

@@ -88,7 +88,7 @@ docker compose --profile all up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**その他:** [Docker](https://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)
+**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)

 ---

@@ -149,7 +149,7 @@ 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://link.langbot.app/en/docs/features)
+[→ すべての統合を表示](https://langbot.app/docs/en/insight/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://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://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://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://link.langbot.app/en/docs/features)
+[→ 모든 기능 자세히 보기](https://langbot.app/docs/en/insight/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/).

@@ -88,7 +88,7 @@ docker compose --profile all up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**더 많은 옵션:** [Docker](https://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)
+**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)

 ---

@@ -149,7 +149,7 @@ 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://link.langbot.app/en/docs/features)
+[→ 모든 통합 보기](https://langbot.app/docs/en/insight/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://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://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://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://link.langbot.app/en/docs/features)
+[→ Подробнее обо всех возможностях](https://langbot.app/docs/en/insight/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/).

@@ -88,7 +88,7 @@ docker compose --profile all up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Другие варианты:** [Docker](https://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)
+**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)

 ---

@@ -149,7 +149,7 @@ 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://link.langbot.app/en/docs/features)
+[→ Смотреть все интеграции](https://langbot.app/docs/en/insight/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://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://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://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://link.langbot.app/zh/docs/features)
+[→ 了解更多功能特性](https://langbot.app/docs/zh/insight/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/)。

@@ -90,7 +90,7 @@ docker compose --profile all up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**更多方式：** [Docker](https://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)
+**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)

 ---

@@ -165,7 +165,7 @@ 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://link.langbot.app/zh/docs/features)
+[→ 查看完整整合列表](https://langbot.app/docs/zh/insight/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://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://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://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://link.langbot.app/en/docs/features)
+[→ Tìm hiểu thêm về tất cả tính năng](https://langbot.app/docs/en/insight/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/).

@@ -88,7 +88,7 @@ docker compose --profile all up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Thêm tùy chọn:** [Docker](https://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)
+**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)

 ---

@@ -149,7 +149,7 @@ 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://link.langbot.app/en/docs/features)
+[→ Xem tất cả tích hợp](https://langbot.app/docs/en/insight/features)

 ---

@@ -1,5 +1,5 @@
 # Docker Compose configuration for LangBot
-# For Kubernetes deployment, see kubernetes.yaml and the deployment guide at https://docs.langbot.app
+# For Kubernetes deployment, see kubernetes.yaml and the deployment guide at https://langbot.app/docs
 version: "3"

 services:
@@ -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://docs.langbot.app -> Installation -> Kubernetes
+# Full deployment guide (zh/en/ja): https://langbot.app/docs -> Installation -> Kubernetes
 #
 # Usage:
 #   kubectl -n langbot create secret generic langbot-plugin-runtime-control \
@@ -0,0 +1,65 @@
+# ChatGPT / Codex subscription
+
+LangBot's **OpenAI Codex** model provider uses **Sign in with ChatGPT** and the account's Codex entitlement. It is separate from the existing OpenAI API-key provider: subscribing to ChatGPT does not supply an OpenAI Platform API key, and API-key billing is unchanged.
+
+## Connect an account
+
+1. Open **Models**, choose **Add Provider**, and select **OpenAI Codex**.
+2. Enter a provider name and choose **Save and sign in**. This saves the provider before authorization, so an interrupted login can be retried from its settings.
+3. Open the OpenAI authorization link and enter the one-time code displayed in LangBot. Sign in on OpenAI's site, not in LangBot.
+4. If OpenAI asks you to enable device-code authorization, enable it in your ChatGPT account's security settings, or contact your workspace administrator.
+5. Keep the LangBot dialog open until it confirms the connection, then finish the form.
+6. Use the existing **Scan models** or **Add model** controls, test the model, and select it in a pipeline as usual. Only LLM models are supported by this provider.
+
+The device-code flow also works when LangBot runs remotely or in Docker: the browser does not need to reach a localhost OAuth callback on the server. Serve the LangBot management panel over HTTPS when accessing it remotely.
+
+The account's model catalog is authoritative. A model listed elsewhere or entered manually is not a guarantee that this account has access. Scan errors are reported rather than replaced with a fabricated available-model list.
+
+## Reconnect and disconnect
+
+Open the provider's existing settings to sign in again or disconnect. LangBot refreshes expiring access tokens automatically. A revoked or invalid refresh grant requires another sign-in; transient network failures are not proof that the grant was revoked.
+
+**Disconnect** removes this provider's locally stored authorization. It does not log the account out of other applications or revoke the account globally. Canceling a pending sign-in is separate from disconnecting an existing account. Removing a provider also removes its authorization; the normal rule that models must be removed first still applies.
+
+A saved provider can remain disconnected. Scanning or invoking it then returns a sign-in-required error; LangBot does not silently switch to paid API-key billing.
+
+## Usage and deployment boundary
+
+Calls consume the connected account's included Codex usage and remain subject to OpenAI's plan limits, model availability, workspace policies, and terms. Token counts recorded by LangBot are request usage, not a measurement of remaining subscription quota or an OpenAI invoice.
+
+Use this integration for your own authorized account and trusted workflows. Third-party sign-in support is not permission to pool accounts, resell subscription quota, or redistribute one subscription as a shared API service. For a public or commercial multi-user service, use the appropriate OpenAI API or separately authorized enterprise arrangement. The provider remains a Workspace resource in LangBot: consider who can invoke its models before connecting a personal account.
+
+## Credential handling and API surface
+
+- OAuth credentials are stored server-side separately from provider API keys. Provider and model reads do not supply OAuth access, refresh, or ID tokens.
+- Authorization uses a fixed OpenAI origin. The Codex provider does not accept a custom base URL or manually supplied API keys.
+- Authentication controls require an authenticated LangBot browser user with `provider_secret.manage` in the selected Workspace. Pending attempts are scoped to the Workspace, provider, and initiating user.
+- Browser storage must not contain OAuth tokens. Treat the server database and its backups as sensitive application data.
+- MCP and LangBot API keys do not expose the browser-only OAuth controls. Agents may inspect configured providers and models with the existing tools, but a human connects the subscription in the management panel.
+
+The provider-scoped authentication routes are under `/api/v1/provider/providers/{uuid}/codex`:
+
+| Method | Suffix | Purpose |
+| --- | --- | --- |
+| GET | `/status` | Read local connection state without returning credentials |
+| POST | `/device` | Start device authorization |
+| POST | `/device/poll` | Poll the initiating user's authorization attempt |
+| DELETE | `/device/{authorization_id}` | Cancel only that pending attempt |
+| DELETE | `/auth` | Remove local authorization |
+
+Use the returned polling interval and expiration time. An expired attempt must be restarted. These routes are not a general-purpose subscription-to-API gateway.
+
+## References
+
+- [OpenAI Codex authentication](https://developers.openai.com/codex/auth): ChatGPT versus API-key access and device-code login.
+- [Hermes Agent providers](https://hermes-agent.nousresearch.com/docs/integrations/providers/): subscription device authentication and refresh recovery.
+- [OpenClaw OpenAI provider](https://docs.openclaw.ai/providers/openai): subscription and API-key route distinctions.
+- [New API](https://github.com/QuantumNous/new-api): reference for Codex protocol compatibility; its gateway/account-pooling product model is not adopted here.
+
+## 中文快速说明
+
+在「模型」中添加提供商，选择 **OpenAI Codex**，填写名称并点击「保存并登录」。打开 OpenAI 授权页面，输入 LangBot 显示的一次性验证码，完成授权后回到原对话框。随后照常扫描或添加模型、测试模型，并在流水线中选择它。
+
+无需填写 API Key，也无需为远程服务器配置 localhost 回调。登录中断后可以从该提供商的设置中重试；断开连接只删除 LangBot 中保存的授权。调用消耗所登录账号的 Codex 额度，受账号实际权限和 OpenAI 限制约束，不会自动转用按量付费的 OpenAI API。
+
+此功能用于自己的授权账号及可信工作流，不应将个人订阅作为面向多个用户转售或共享的 API 服务。提供商仍是 LangBot 工作空间内的资源，连接个人账号前请确认模型的使用范围。
@@ -218,8 +218,8 @@ metadata:
 spec:
  categories: [popular, global]
  help_links:
-    zh: https://docs.langbot.app/zh/platforms/http-bot
-    en: https://docs.langbot.app/en/platforms/http-bot
+    zh: https://langbot.app/docs/zh/platforms/http-bot
+    en: https://langbot.app/docs/en/platforms/http-bot
  config:
    - { name: inbound_secret,       type: string, required: true,  default: "" }
    - { name: callback_url,         type: string, required: false, default: "" }
@@ -243,7 +243,7 @@ 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://docs.langbot.app
+- LangBot Documentation: https://langbot.app/docs

 ## 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://docs.langbot.app/en/usage/platforms/http-bot).
+Full guide: [docs.langbot.app — HTTP Bot](https://langbot.app/docs/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://docs.langbot.app/zh/usage/platforms/http-bot)。
+完整指南:[docs.langbot.app —— HTTP Bot](https://langbot.app/docs/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://docs.langbot.app/en/usage/platforms/webpage).
+Full guide: [docs.langbot.app — Page Bot](https://langbot.app/docs/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://docs.langbot.app/zh/usage/platforms/webpage)。
+完整指南：[docs.langbot.app —— 页面机器人](https://langbot.app/docs/zh/usage/platforms/webpage)。

 ## 文件清单

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.10.8"
+version = "4.10.10"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -70,7 +70,7 @@ dependencies = [
    "langchain-text-splitters>=1.1.2",
    "chromadb>=1.0.0,<2.0.0",
    "qdrant-client (>=1.15.1,<2.0.0)",
-    "langbot-plugin==0.5.5",
+    "langbot-plugin==0.5.7",
    "asyncpg>=0.30.0",
    "line-bot-sdk>=3.19.0",
    "matrix-nio>=0.25.2",
@@ -114,7 +114,7 @@ seekdb = [

 [project.urls]
 Homepage = "https://langbot.app"
-Documentation = "https://docs.langbot.app"
+Documentation = "https://langbot.app/docs"
 Repository = "https://github.com/langbot-app/LangBot"

 [project.scripts]
@@ -1349,7 +1349,8 @@
            "local-agent",
            "tools",
            "e2b",
-            "nsjail"
+            "nsjail",
+            "host"
          ],
          "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://docs.langbot.app. `docker/deploy-k8s-test.sh` is a test helper.
+https://langbot.app/docs. `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`; env override `BOX__BACKEND` |
+| `box.backend` | `local` (Docker/nsjail autopick) / `docker` / `nsjail` / `e2b` / explicit unsafe `host`; 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`).
@@ -75,6 +75,10 @@ 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

@@ -93,5 +97,7 @@ 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.
@@ -75,6 +75,8 @@ 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

@@ -84,6 +86,23 @@ the immutable Workspace context authenticated at the MCP transport boundary.
 4. Use `list_*` tools to discover, then `get_*` / `create_*` / `update_*` /
   `delete_*` as needed.

+## ChatGPT / Codex subscription providers
+
+`list_model_providers` can return the `openai-codex` requester. Its OAuth
+credentials are server-only and are not provider API keys. Never ask a user
+to paste ChatGPT access tokens, refresh tokens, or a Codex auth cache into an
+MCP tool or model configuration.
+
+A human connects or disconnects the subscription through **Models → provider
+settings** in the LangBot web UI. The provider-scoped `/codex/*` authentication
+routes deliberately require a browser-user session and are not exposed as MCP
+tools or authorized by a LangBot API key. Once connected, models are managed
+and selected through the normal provider/model workflow. A disconnected
+provider must be reauthorized; do not silently replace it with API-key billing.
+
+See [ChatGPT / Codex subscription](../../../docs/CODEX_SUBSCRIPTION.md) for setup,
+usage limits, and the personal-account versus shared-service boundary.
+
 ## Implementation & maintenance (for LangBot developers)

 - Server: `src/langbot/pkg/api/mcp/server.py` (FastMCP). Tools call the service
@@ -13,6 +13,7 @@ tags:
  - tools
  - e2b
  - nsjail
+  - host
 skills:
  - langbot-env-setup
  - langbot-testing
@@ -23,7 +24,7 @@ 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 sandbox backend intended for this run, such as e2b or nsjail."
+  - "LangBot is started with the Box backend intended for this run, such as e2b, nsjail, or explicit host development mode."
  - "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."
@@ -33,7 +34,7 @@ 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 or nsjail."
+  - "Logs: The selected backend name is the expected one, such as e2b, nsjail, or host."
  - "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, and E2B backends. 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, 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.

 ## Preconditions

@@ -13,6 +13,7 @@ This flow applies to Docker, nsjail, and E2B backends. API calls are useful diag
   - `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.
@@ -71,7 +72,7 @@ Backend logs should show:
 - `register_skill`
 - `activate`
 - a second `exec` whose workdir is `/workspace/.skills/<skill-name>`
- `backend=e2b`, `backend=nsjail`, or the expected local backend
+- `backend=e2b`, `backend=nsjail`, `backend=host`, or the expected local backend

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

@@ -125,6 +126,8 @@ 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, or Docker is configured."
+  - "The Box runtime later reports that E2B, nsjail, Docker, or explicit host mode is configured."
  - "Debug Chat does not expose exec, register_skill, or activate as usable tools."
 patterns:
  - "Native sandbox tools ... are NOT available"
@@ -19,6 +19,7 @@ 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://docs.langbot.app
+📖 Documentation 文档地址: https://langbot.app/docs
 """


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

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

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

 _MAX_DIFY_RESPONSE_BYTES = 1024 * 1024
 _MAX_DIFY_SSE_LINE_BYTES = 1024 * 1024
@@ -15,6 +16,32 @@ _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,
    *,
@@ -56,16 +83,16 @@ async def _iter_sse_json(
            line = raw_line.rstrip(b'\r').strip()
            if not line or not line.startswith(b'data:'):
                continue
-            payload = json.loads(line[5:].decode('utf-8', errors='replace'))
-            if isinstance(payload, dict):
+            payload = _decode_sse_data(line)
+            if payload is not None:
                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 = json.loads(line[5:].decode('utf-8', errors='replace'))
-        if isinstance(payload, dict):
+        payload = _decode_sse_data(line)
+        if payload is not None:
            yield payload


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

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

        body: dict = {
            'cardTemplateId': card_template_id,
@@ -422,6 +422,69 @@ 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,
@@ -936,6 +936,13 @@ 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

@@ -295,6 +295,34 @@ 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)
@@ -218,6 +218,7 @@ 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))
@@ -237,6 +238,7 @@ 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,
@@ -396,7 +398,14 @@ 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"""
-            analysis = await self.ap.monitoring_service.get_session_analysis(request_context, session_id)
+            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,
+            )

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

        @self.route(
@@ -113,6 +113,24 @@ 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'],
@@ -8,6 +8,80 @@ from ... import group
@group.group_class('models/providers', '/api/v1/provider/providers')
 class ModelProvidersRouterGroup(group.RouterGroup):
    async def initialize(self) -> None:
+        # Subscription authorization is an interactive, browser-user-only surface.
+        @self.route(
+            '/<provider_uuid>/codex/status',
+            methods=['GET'],
+            auth_type=group.AuthType.USER_TOKEN,
+            permission=Permission.PROVIDER_SECRET_MANAGE,
+        )
+        async def codex_status(provider_uuid: str, request_context: RequestContext):
+            try:
+                return self.success(
+                    data=await self.ap.provider_service.codex_auth.status(request_context, provider_uuid)
+                )
+            except ValueError as exc:
+                return self.http_status(400, -1, str(exc))
+
+        @self.route(
+            '/<provider_uuid>/codex/device',
+            methods=['POST'],
+            auth_type=group.AuthType.USER_TOKEN,
+            permission=Permission.PROVIDER_SECRET_MANAGE,
+        )
+        async def codex_device(provider_uuid: str, request_context: RequestContext):
+            try:
+                return self.success(
+                    data=await self.ap.provider_service.codex_auth.start(request_context, provider_uuid)
+                )
+            except ValueError as exc:
+                return self.http_status(400, -1, str(exc))
+
+        @self.route(
+            '/<provider_uuid>/codex/device/poll',
+            methods=['POST'],
+            auth_type=group.AuthType.USER_TOKEN,
+            permission=Permission.PROVIDER_SECRET_MANAGE,
+        )
+        async def codex_poll(provider_uuid: str, request_context: RequestContext):
+            body = await quart.request.get_json()
+            if not isinstance(body, dict):
+                return self.http_status(400, -1, 'JSON object required')
+            try:
+                return self.success(
+                    data=await self.ap.provider_service.codex_auth.poll(
+                        request_context, provider_uuid, body.get('authorization_id')
+                    )
+                )
+            except ValueError as exc:
+                return self.http_status(400, -1, str(exc))
+
+        @self.route(
+            '/<provider_uuid>/codex/auth',
+            methods=['DELETE'],
+            auth_type=group.AuthType.USER_TOKEN,
+            permission=Permission.PROVIDER_SECRET_MANAGE,
+        )
+        async def codex_disconnect(provider_uuid: str, request_context: RequestContext):
+            try:
+                await self.ap.provider_service.codex_auth.disconnect(request_context, provider_uuid)
+                return self.success()
+            except ValueError as exc:
+                return self.http_status(400, -1, str(exc))
+
+        @self.route(
+            '/<provider_uuid>/codex/device/<authorization_id>',
+            methods=['DELETE'],
+            auth_type=group.AuthType.USER_TOKEN,
+            permission=Permission.PROVIDER_SECRET_MANAGE,
+        )
+        async def codex_cancel(provider_uuid: str, authorization_id: str, request_context: RequestContext):
+            try:
+                await self.ap.provider_service.codex_auth.cancel(request_context, provider_uuid, authorization_id)
+                return self.success()
+            except ValueError as exc:
+                return self.http_status(400, -1, str(exc))
+
        @self.route(
            '',
            methods=['GET'],
@@ -206,6 +206,20 @@ 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'],
@@ -186,6 +186,9 @@ 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')

@@ -199,8 +202,11 @@ 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
@@ -218,24 +224,36 @@ 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')

-                # Authenticate and create/update local user
+                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.
                jwt_token, user_obj = await self.ap.user_service.authenticate_space_user(
                    access_token, refresh_token, expires_in
                )

-                if launch_workspace_uuid:
+                if target_workspace_uuid:
                    try:
                        access = await self.ap.workspace_collaboration_service.resolve_account_workspace(
                            user_obj.uuid,
-                            launch_workspace_uuid,
+                            target_workspace_uuid,
                        )
                    except Exception:
                        self.ap.logger.warning('Rejected Space OAuth launch for unauthorized Workspace')
@@ -322,6 +340,7 @@ 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)
@@ -366,12 +385,17 @@ 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')
@@ -384,7 +408,10 @@ class UserRouterGroup(group.RouterGroup):
                return self.http_status(400, -1, 'Only local accounts can bind to Space')

            try:
-                updated_user = await self.ap.user_service.bind_space_account(user_obj.user, code)
+                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
+                )
                jwt_token = await self.ap.user_service.generate_jwt_token(updated_user)
                return self.success(
                    data={
@@ -427,6 +454,10 @@ 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')
@@ -1,6 +1,7 @@
 from __future__ import annotations

 import uuid
+import json
 import sqlalchemy

 from ....core import app
@@ -8,6 +9,8 @@ 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:
@@ -80,6 +83,7 @@ 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', '')
@@ -133,7 +137,16 @@ class BotService:

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

-        await self.ap.platform_mgr.load_bot(context, bot)
+        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

        return bot_data['uuid']

@@ -216,6 +229,53 @@ 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,
@@ -1257,6 +1257,7 @@ 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,
@@ -1274,6 +1275,14 @@ 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)

@@ -1365,6 +1374,8 @@ 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)
@@ -1478,12 +1489,17 @@ 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(
-                persistence_monitoring.MonitoringToolCall.workspace_uuid == workspace_uuid,
-                persistence_monitoring.MonitoringToolCall.session_id == session_id,
-            )
+            .where(*tool_conditions)
            .order_by(persistence_monitoring.MonitoringToolCall.timestamp.asc())
            .limit(detail_limit + 1)
        )
@@ -9,6 +9,7 @@ from ....cloud.model_catalog import LANGBOT_MODELS_PROVIDER_REQUESTER
 from ....core import app
 from ....entity.persistence import model as persistence_model
 from ....workspace.errors import WorkspaceNotFoundError
+from ....provider.modelmgr.codex_auth import CodexAuth, REQUESTER as CODEX_REQUESTER, validate_config
 from .secrets import contains_secret_placeholder, redact_secrets, restore_secret_placeholders
 from .tenant import TenantContext, require_workspace_uuid, scope_statement

@@ -20,6 +21,7 @@ class ModelProviderService:

    def __init__(self, ap: app.Application) -> None:
        self.ap = ap
+        self.codex_auth = CodexAuth(ap)

    def _is_cloud_runtime(self) -> bool:
        mode = getattr(self.ap.persistence_mgr, 'mode', None)
@@ -116,14 +118,30 @@ class ModelProviderService:
        provider_data = provider_data.copy()
        if self._system_requester_is_reserved(provider_data.get('requester')):
            raise ValueError('space-chat-completions is reserved for the Cloud-managed LangBot Models provider')
+        validate_config(provider_data)
        provider_data['uuid'] = str(uuid.uuid4())
        provider_data['workspace_uuid'] = require_workspace_uuid(context)
        provider_data['api_keys'] = self._normalize_api_keys(
            restore_secret_placeholders(provider_data.get('api_keys'), sensitive=True)
        )
-        await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.insert(persistence_model.ModelProvider).values(**provider_data)
-        )
+        if provider_data.get('requester') == CODEX_REQUESTER:
+            async with self.ap.persistence_mgr.tenant_uow(provider_data['workspace_uuid']):
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.insert(persistence_model.ModelProvider).values(**provider_data)
+                )
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.insert(persistence_model.CodexCredential).values(
+                        workspace_uuid=provider_data['workspace_uuid'],
+                        provider_uuid=provider_data['uuid'],
+                        payload={},
+                        version=0,
+                        lease_until=0,
+                    )
+                )
+        else:
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.insert(persistence_model.ModelProvider).values(**provider_data)
+            )

        # load to runtime
        runtime_provider = await self.ap.model_mgr.load_provider(context, provider_data)
@@ -138,6 +156,17 @@ class ModelProviderService:
            raise ValueError('space-chat-completions is reserved for the Cloud-managed LangBot Models provider')
        provider_data.pop('uuid', None)
        provider_data.pop('workspace_uuid', None)
+        if {'requester', 'base_url', 'api_keys'} & provider_data.keys():
+            current = await self.get_provider(context, provider_uuid, include_secret=True)
+            if current is None:
+                raise WorkspaceNotFoundError('Provider not found')
+            if CODEX_REQUESTER in (current.get('requester'), provider_data.get('requester')):
+                if provider_data.get('requester', current.get('requester')) != current.get('requester'):
+                    raise ValueError('Create a separate provider to change the ChatGPT authentication type')
+                merged = {**current, **provider_data}
+                validate_config(merged)
+                provider_data['base_url'] = merged['base_url']
+                provider_data['api_keys'] = []
        if 'api_keys' in provider_data:
            submitted_keys = provider_data.get('api_keys')
            if contains_secret_placeholder(submitted_keys, sensitive=True):
@@ -11,6 +11,9 @@ 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
@@ -116,7 +119,7 @@ class SpaceService:

        space_config = self._get_space_config()
        authorize_url = space_config['oauth_authorize_url']
-        params = {'redirect_uri': redirect_uri}
+        params = {'redirect_uri': redirect_uri, 'code_contract': 'redirect-v1'}
        if state:
            params['state'] = state
        return f'{authorize_url}?{urlencode(params)}'
@@ -126,6 +129,8 @@ 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
@@ -138,6 +143,7 @@ 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.
@@ -238,3 +244,76 @@ 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}
@@ -774,7 +774,7 @@ class UserService:
            f'email:{normalized_email}',
        )

-    async def bind_space_account(self, user_email: str, code: str) -> user.User:
+    async def bind_space_account(self, user_email: str, code: str, *, redirect_uri: 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:
@@ -794,12 +794,13 @@ 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)
+            token_data = await self.ap.space_service.exchange_oauth_code(code, 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)
@@ -147,7 +147,16 @@ class LangBotMCPServer:
        )
        async def create_pipeline(pipeline_data: dict) -> str:
            context = _authorized(Permission.RESOURCE_MANAGE)
-            return _dump({'uuid': await ap.pipeline_service.create_pipeline(context, pipeline_data)})
+            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,
+                    )
+                }
+            )

        @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:
@@ -455,7 +455,9 @@ class BoxService:

    async def _require_validated_workspace_sandbox(self, execution_context: ExecutionContext) -> None:
        if not self._available:
-            raise BoxError('Box runtime is not available. Install and start Docker to use sandbox features.')
+            raise BoxError(
+                'Box runtime is not available. Configure an available Box backend before using Box features.'
+            )
        if self._cloud_managed:
            if self._admission is None:
                raise BoxAdmissionError('Cloud Box sandbox admission is unavailable')
@@ -565,7 +567,9 @@ class BoxService:
        skip_host_mount_validation: bool = False,
    ) -> dict:
        if not self._available:
-            raise BoxError('Box runtime is not available. Install and start Docker to use sandbox features.')
+            raise BoxError(
+                'Box runtime is not available. Configure an available Box backend before using Box 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)
@@ -2142,5 +2146,8 @@ 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'
+                payload['connector_error'] = (
+                    'No supported sandbox backend (Docker / nsjail / E2B) is available. '
+                    'Trusted local development may explicitly select the unsafe host backend.'
+                )
        return payload
@@ -125,10 +125,21 @@ 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)
@@ -159,9 +170,84 @@ 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.initialize()
+            await self._refresh_snapshot()
            return
        batch = await self.provider.fetch_events(
            self.instance_uuid,
@@ -708,7 +794,13 @@ class DirectoryProjectionService:
        for row in inbox_rows:
            row.applied_at = now

-    async def _apply_accounts(self, session: Any, snapshot: DirectorySnapshot) -> dict[str, User]:
+    async def _apply_accounts(
+        self,
+        session: Any,
+        snapshot: DirectorySnapshot,
+        *,
+        preserve_existing: bool = False,
+    ) -> dict[str, User]:
        selected: dict[str, DirectoryMember] = {}
        emails: dict[str, str] = {}
        for workspace in snapshot.workspaces:
@@ -773,6 +865,12 @@ 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)
@@ -635,9 +635,9 @@ 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://docs.langbot.app/zh')
+            self.logger.warning('WebUI 文件缺失，请根据文档部署：https://langbot.app/docs/zh')
            self.logger.warning(
-                'WebUI files are missing, please deploy according to the documentation: https://docs.langbot.app/en'
+                'WebUI files are missing, please deploy according to the documentation: https://langbot.app/docs/en'
            )
            return

@@ -47,3 +47,10 @@ 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
@@ -33,6 +33,28 @@ class ModelProvider(Base):
    )


+class CodexCredential(Base):
+    """Server-only OAuth state. Never joined into provider/model serialization."""
+
+    __tablename__ = 'codex_credentials'
+
+    provider_uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True)
+    workspace_uuid = sqlalchemy.Column(sqlalchemy.String(36), nullable=False)
+    payload = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default=dict)
+    version = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=0)
+    lease_owner = sqlalchemy.Column(sqlalchemy.String(64), nullable=True)
+    lease_until = sqlalchemy.Column(sqlalchemy.Float, nullable=False, default=0)
+    __table_args__ = (
+        sqlalchemy.ForeignKeyConstraint(
+            ['workspace_uuid', 'provider_uuid'],
+            ['model_providers.workspace_uuid', 'model_providers.uuid'],
+            name='fk_codex_credentials_workspace_provider',
+            ondelete='CASCADE',
+        ),
+        sqlalchemy.Index('ix_codex_credentials_workspace', 'workspace_uuid'),
+    )
+
+
 class LLMModel(Base):
    """LLM model"""

@@ -0,0 +1,48 @@
+"""Add isolated server-only Codex credentials and tenant RLS.
+
+Revision ID: 0022_codex_credentials
+Revises: 0021_merge_reasoning_config
+"""
+
+from alembic import op
+import sqlalchemy as sa
+
+revision = '0022_codex_credentials'
+down_revision = '0021_merge_reasoning_config'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    # Fresh startup creates ORM metadata before running Alembic.
+    if 'codex_credentials' not in sa.inspect(conn).get_table_names():
+        op.create_table(
+            'codex_credentials',
+            sa.Column('provider_uuid', sa.String(255), primary_key=True),
+            sa.Column('workspace_uuid', sa.String(36), nullable=False),
+            sa.Column('payload', sa.JSON(), nullable=False),
+            sa.Column('version', sa.Integer(), nullable=False),
+            sa.Column('lease_owner', sa.String(64), nullable=True),
+            sa.Column('lease_until', sa.Float(), nullable=False),
+            sa.ForeignKeyConstraint(
+                ['workspace_uuid', 'provider_uuid'],
+                ['model_providers.workspace_uuid', 'model_providers.uuid'],
+                name='fk_codex_credentials_workspace_provider',
+                ondelete='CASCADE',
+            ),
+        )
+        op.create_index('ix_codex_credentials_workspace', 'codex_credentials', ['workspace_uuid'])
+    if conn.dialect.name == 'postgresql':
+        op.execute('ALTER TABLE codex_credentials ENABLE ROW LEVEL SECURITY')
+        op.execute('ALTER TABLE codex_credentials FORCE ROW LEVEL SECURITY')
+        op.execute('DROP POLICY IF EXISTS langbot_workspace_isolation ON codex_credentials')
+        expression = "workspace_uuid::text = NULLIF(current_setting('langbot.workspace_uuid', true), '')"
+        op.execute(
+            f'CREATE POLICY langbot_workspace_isolation ON codex_credentials '
+            f'FOR ALL USING ({expression}) WITH CHECK ({expression})'
+        )
+
+
+def downgrade() -> None:
+    op.drop_table('codex_credentials')
@@ -62,6 +62,7 @@ _ALEMBIC_TENANT_TABLES = {
    'binary_storages',
    'mcp_servers',
    'model_providers',
+    'codex_credentials',
    'llm_models',
    'embedding_models',
    'rerank_models',
@@ -3,6 +3,7 @@
 from __future__ import annotations

 import asyncio
+import contextlib
 import dataclasses
 import datetime
 import json
@@ -82,7 +83,7 @@ def _verify_connection(connection: sqlite3.Connection, expected_revision: str) -


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


@@ -119,12 +120,16 @@ def _write_manifest(backup: SQLiteMigrationBackup, status: str, **extra: typing.


 def _fsync_file(path: pathlib.Path, *, reopen_attempts: int = 20) -> None:
-    """Sync a file, tolerating delayed visibility after replace on bind mounts."""
+    """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_RDONLY)
+            descriptor = os.open(path, os.O_RDWR)
            break
        except FileNotFoundError:
            if attempt + 1 >= reopen_attempts:
@@ -138,13 +143,37 @@ def _fsync_file(path: pathlib.Path, *, reopen_attempts: int = 20) -> None:


 def _fsync_directory(path: pathlib.Path) -> None:
-    descriptor = os.open(path, os.O_RDONLY)
+    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))
    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,
@@ -153,6 +182,11 @@ 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)}-'
@@ -169,11 +203,8 @@ def _create_backup(
    temporary_path = pathlib.Path(temporary_name)
    try:
        with (
-            _open_read_only(database_path) as source,
-            sqlite3.connect(
-                temporary_path,
-                timeout=30,
-            ) as destination,
+            contextlib.closing(_open_read_only(database_path)) as source,
+            contextlib.closing(sqlite3.connect(temporary_path, timeout=30)) as destination,
        ):
            source.execute('PRAGMA busy_timeout = 30000')
            source.backup(destination)
@@ -221,6 +252,11 @@ 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',
@@ -230,11 +266,8 @@ def _restore_backup(backup: SQLiteMigrationBackup) -> None:
    temporary_path = pathlib.Path(temporary_name)
    try:
        with (
-            _open_read_only(backup.backup_path) as source,
-            sqlite3.connect(
-                temporary_path,
-                timeout=30,
-            ) as destination,
+            contextlib.closing(_open_read_only(backup.backup_path)) as source,
+            contextlib.closing(sqlite3.connect(temporary_path, timeout=30)) as destination,
        ):
            source.backup(destination)
            destination.commit()
@@ -51,6 +51,7 @@ TENANT_TABLE_COLUMNS: dict[str, str] = {
    'binary_storages': 'workspace_uuid',
    'mcp_servers': 'workspace_uuid',
    'model_providers': 'workspace_uuid',
+    'codex_credentials': 'workspace_uuid',
    'llm_models': 'workspace_uuid',
    'embedding_models': 'workspace_uuid',
    'rerank_models': 'workspace_uuid',
@@ -209,7 +210,7 @@ _ALLOWED_SCOPED_BUILTIN_FUNCTION_TYPES = {
    'now': sqlalchemy.sql.functions.now,
    'sum': sqlalchemy.sql.functions.sum,
 }
-_ALLOWED_SCOPED_GENERIC_FUNCTIONS = frozenset({'date_trunc', 'length', 'nullif'})
+_ALLOWED_SCOPED_GENERIC_FUNCTIONS = frozenset({'date_trunc', 'length', 'nullif', 'strftime'})
 _ALLOWED_SCOPED_CUSTOM_OPERATORS = frozenset({'<=>'})
 _ALLOWED_SCOPED_STATEMENT_TYPES = (
    sqlalchemy.sql.dml.UpdateBase,
@@ -5,6 +5,11 @@ 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):
@@ -14,12 +19,17 @@ 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, message = await mask_patterns(
-                self.ap.sensitive_meta.data['words'],
+            found, current = await mask_patterns(
+                words,
                message,
-                mask=self.ap.sensitive_meta.data['mask'],
-                mask_word=self.ap.sensitive_meta.data['mask_word'],
+                mask=mask,
+                mask_word=mask_word,
+                max_pattern_count=_MAX_SENSITIVE_WORD_PATTERNS,
            )
        except SafeRegexError as exc:
            return entities.FilterResult(
@@ -31,7 +41,7 @@ class BanWordFilter(filter_model.ContentFilter):

        return entities.FilterResult(
            level=entities.ResultLevel.MASKED if found else entities.ResultLevel.PASS,
-            replacement=message,
+            replacement=current,
            user_notice='消息中存在不合适的内容, 请修改' if found else '',
            console_notice='',
        )
@@ -15,9 +15,9 @@ spec:
  categories:
    - protocol
  help_links:
-    zh: https://link.langbot.app/zh/platforms/aiocqhttp
-    en: https://link.langbot.app/en/platforms/aiocqhttp
-    ja: https://link.langbot.app/ja/platforms/aiocqhttp
+    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
  config:
    - name: host
      label:
@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://link.langbot.app/zh/platforms/dingtalk
-    en: https://link.langbot.app/en/platforms/dingtalk
-    ja: https://link.langbot.app/ja/platforms/dingtalk
+    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
  config:
    - name: one-click-create
      label:
@@ -24,9 +24,9 @@ spec:
    - popular
    - global
  help_links:
-    zh: https://link.langbot.app/zh/platforms/discord
-    en: https://link.langbot.app/en/platforms/discord
-    ja: https://link.langbot.app/ja/platforms/discord
+    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
  config:
    - name: client_id
      label:
@@ -18,9 +18,9 @@ spec:
    - popular
    - global
  help_links:
-    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
+    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
  config:
    - name: webhook_url
      label:
@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://link.langbot.app/zh/platforms/kook
-    en: https://link.langbot.app/en/platforms/kook
-    ja: https://link.langbot.app/ja/platforms/kook
+    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
  config:
    - name: token
      label:
@@ -160,6 +160,29 @@ 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':
@@ -2358,16 +2381,21 @@ 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: keep pre-pause + resume content visible,
-                # remove buttons/notice, drop the resume placeholder.
+                # 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,
+                )
                await self._update_card_layout(
                    card_id=card_id,
                    message_source=message_source,
-                    text_message=pre_pause,
+                    text_message=main_text,
                    sequence=final_seq,
                    form_data=None,
                    notice_text=selected_notice if resume_from else '',
-                    resume_placeholder_text=resume_cached,
+                    resume_placeholder_text=resume_text,
                )
                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://link.langbot.app/zh/platforms/lark
-    en: https://link.langbot.app/en/platforms/lark
-    ja: https://link.langbot.app/ja/platforms/lark
+    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
  config:
    - name: domain
      label:
@@ -25,6 +25,7 @@ from linebot.v3.webhooks import (
    ImageMessageContent,
    VideoMessageContent,
    AudioMessageContent,
+    UserMentionee,
 )

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

        return content_list

-    @staticmethod
-    async def target2yiri(message, bot_client) -> platform_message.MessageChain:
+    def __init__(self, bot_account_id: str = ''):
+        self.bot_account_id = bot_account_id
+
+    async def target2yiri(self, 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.append(platform_message.Plain(text=message.message.text))
+            lb_msg_list.extend(
+                self._build_text_components(message.message.text, getattr(message.message, 'mention', None))
+            )
        elif isinstance(message.message, AudioMessageContent):
            pass
        elif isinstance(message.message, VideoMessageContent):
@@ -86,22 +91,60 @@ 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

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

        if event.source.type == 'user':
            return platform_events.FriendMessage(
                sender=platform_entities.Friend(
-                    id=event.message.id,
+                    id=event.source.user_id,
                    nickname=event.source.user_id,
                    remark='',
                ),
@@ -110,13 +153,19 @@ 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=event.event.sender.sender_id.open_id,
-                    member_name=event.event.sender.sender_id.union_id,
+                    id=member_id,
+                    member_name=member_id,
                    permission=platform_entities.Permission.Member,
                    group=platform_entities.Group(
-                        id=event.message.id,
+                        id=group_id,
                        name='',
                        permission=platform_entities.Permission.Member,
                    ),
@@ -163,8 +212,8 @@ class LINEAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
            listeners={},
            card_id_dict={},
            seq=1,
-            event_converter=LINEEventConverter(),
-            message_converter=LINEMessageConverter(),
+            event_converter=LINEEventConverter(bot_account_id),
+            message_converter=LINEMessageConverter(bot_account_id),
            line_webhook=line_webhook,
            parser=parser,
            configuration=configuration,
@@ -22,9 +22,9 @@ spec:
  categories:
    - global
  help_links:
-    zh: https://link.langbot.app/zh/platforms/line
-    en: https://link.langbot.app/en/platforms/line
-    ja: https://link.langbot.app/ja/platforms/line
+    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
  config:
    - name: webhook_url
      label:
@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://link.langbot.app/zh/platforms/officialaccount
-    en: https://link.langbot.app/en/platforms/officialaccount
-    ja: https://link.langbot.app/ja/platforms/officialaccount
+    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
  config:
    - name: webhook_url
      label:
@@ -16,9 +16,9 @@ spec:
    - popular
    - china
  help_links:
-    zh: https://link.langbot.app/zh/platforms/openclaw_weixin
-    en: https://link.langbot.app/en/platforms/openclaw_weixin
-    ja: https://link.langbot.app/ja/platforms/openclaw_weixin
+    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
  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['token'],
+            token=config.get('token', ''),
            logger=logger,
            unified_mode=enable_webhook,
        )
@@ -329,17 +329,12 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
            content_type = content.get('type', 'text')

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

            elif content_type == 'image':
@@ -383,6 +378,39 @@ 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],
@@ -650,13 +678,13 @@ 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

-        # 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:
+        # `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:
            return
+        content_to_send = ctx['accumulated_text']

        input_state = 10 if is_final else 1

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

        try:
-            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,
-                )
+            await self._send_c2c_or_group_text_reply(
+                target_type,
+                target_id,
+                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://link.langbot.app/zh/platforms/qqofficial
-    en: https://link.langbot.app/en/platforms/qqofficial
-    ja: https://link.langbot.app/ja/platforms/qqofficial
+    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
  config:
    - name: __system.outbound_ips
      label:
@@ -95,6 +95,18 @@ 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://link.langbot.app/zh/platforms/satori
-    en: https://link.langbot.app/en/platforms/satori
-    ja: https://link.langbot.app/ja/platforms/satori
+    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
  config:
    - name: platform
      label:
@@ -24,9 +24,9 @@ spec:
    - popular
    - global
  help_links:
-    zh: https://link.langbot.app/zh/platforms/slack
-    en: https://link.langbot.app/en/platforms/slack
-    ja: https://link.langbot.app/ja/platforms/slack
+    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
  config:
    - name: webhook_url
      label:
@@ -24,9 +24,9 @@ spec:
    - popular
    - global
  help_links:
-    zh: https://link.langbot.app/zh/platforms/telegram
-    en: https://link.langbot.app/en/platforms/telegram
-    ja: https://link.langbot.app/ja/platforms/telegram
+    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
  config:
    - name: token
      label:
@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://link.langbot.app/zh/platforms/wechatpad
-    en: https://link.langbot.app/en/platforms/wechatpad
-    ja: https://link.langbot.app/ja/platforms/wechatpad
+    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
  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'])
+                    await self.bot.send_image(user_id, agent_id, content['media_id'])
                if content['type'] == 'voice':
-                    await self.bot.send_voice(user_id, agent_id, content['media'])
+                    await self.bot.send_voice(user_id, agent_id, content['media_id'])
                if content['type'] == 'file':
-                    await self.bot.send_file(user_id, agent_id, content['media'])
+                    await self.bot.send_file(user_id, agent_id, content['media_id'])

    def register_listener(
        self,
@@ -16,9 +16,9 @@ spec:
    - popular
    - china
  help_links:
-    zh: https://link.langbot.app/zh/platforms/wecom
-    en: https://link.langbot.app/en/platforms/wecom
-    ja: https://link.langbot.app/ja/platforms/wecom
+    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
  config:
    - name: webhook_url
      label:
@@ -15,9 +15,9 @@ spec:
  categories:
    - china
  help_links:
-    zh: https://link.langbot.app/zh/platforms/wecombot
-    en: https://link.langbot.app/en/platforms/wecombot
-    ja: https://link.langbot.app/ja/platforms/wecombot
+    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
  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'u{event.user_id}',
+                id=f'{event.receiver_id}|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'u{event.user_id}',
+                id=f'{event.receiver_id}|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'langbot_{uuid.uuid4().hex}'
+            msgid = f'{uuid.uuid4().hex}'
            if content['type'] == 'text':
                await self.bot.send_text_msg(
                    open_kfid=open_kfid,
@@ -205,6 +205,13 @@ 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://link.langbot.app/zh/platforms/wecomcs
-    en: https://link.langbot.app/en/platforms/wecomcs
-    ja: https://link.langbot.app/ja/platforms/wecomcs
+    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
  config:
    - name: webhook_url
      label:
@@ -1913,9 +1913,14 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):

        return plugins

-    async def get_plugin_info(self, author: str, plugin_name: str) -> dict[str, Any]:
+    async def get_plugin_info(self, author: str, plugin_name: str) -> dict[str, Any] | None:
        runtime_handler = self._runtime_handler()
-        binding = await self._target_binding(author, plugin_name)
+        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
        with runtime_handler.installation_scope(binding):
            return await runtime_handler.get_plugin_info(author, plugin_name)

@@ -0,0 +1,420 @@
+"""ChatGPT device auth with server-only credentials and cross-process refresh leases.
+
+Network I/O never holds a DB transaction. A persisted CAS lease serializes refresh
+and poll; cancel fences device exchanges but waits for existing-token refreshes.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import base64
+import json
+import math
+import secrets
+import time
+from contextlib import asynccontextmanager
+from datetime import datetime, timezone
+
+import httpx
+import sqlalchemy as sa
+
+from ...entity.persistence.model import CodexCredential, ModelProvider
+from ...api.http.context import PrincipalType, RequestContext
+from ...api.http.authz import Permission, has_permission
+from ...api.http.service.tenant import require_workspace_uuid
+from ...workspace.errors import WorkspaceNotFoundError
+
+REQUESTER = 'openai-codex'
+BASE_URL = 'https://chatgpt.com/backend-api/codex'
+ISSUER = 'https://auth.openai.com'
+CLIENT_ID = 'app_EMoamEEZ73f0CkXaXp7hrann'
+LOGIN_REQUIRED = 'ChatGPT sign-in required. Open this provider and sign in again.'
+LEASE_SECONDS = 90
+
+
+def validate_config(data: dict) -> None:
+    if data.get('requester') != REQUESTER:
+        return
+    if data.get('base_url') not in (None, '', BASE_URL):
+        raise ValueError('Codex uses the fixed ChatGPT endpoint; custom base URLs are not supported')
+    if data.get('api_keys') not in (None, [], ''):
+        raise ValueError('Codex uses ChatGPT sign-in, not API keys')
+    data['base_url'] = BASE_URL
+    data['api_keys'] = []
+
+
+def _claims(token: str) -> dict:
+    """Read routing metadata, NOT trusted LangBot identity, from issuer tokens."""
+    try:
+        part = token.split('.')[1]
+        value = json.loads(base64.urlsafe_b64decode(part + '=' * (-len(part) % 4)))
+        return value if isinstance(value, dict) else {}
+    except (ValueError, IndexError, TypeError):
+        return {}
+
+
+def _tokens(data: dict, previous: dict | None = None) -> dict:
+    previous = previous or {}
+    access = data.get('access_token')
+    refresh = data.get('refresh_token') or previous.get('refresh_token')
+    account = None
+    for token in (access, data.get('id_token')):
+        namespace = _claims(token or '').get('https://api.openai.com/auth', {})
+        if isinstance(namespace, dict) and isinstance(namespace.get('chatgpt_account_id'), str):
+            account = namespace['chatgpt_account_id']
+            break
+    account = account or previous.get('account_id')
+    try:
+        expires_at = (
+            time.time() + float(data['expires_in'])
+            if data.get('expires_in') is not None
+            else float(_claims(access or '').get('exp', 0))
+        )
+    except (TypeError, ValueError):
+        expires_at = 0
+    if (
+        not all(isinstance(v, str) and v for v in (access, refresh, account))
+        or not math.isfinite(expires_at)
+        or expires_at <= time.time()
+    ):
+        raise ValueError('ChatGPT returned an incomplete authorization. Please sign in again.')
+    return {
+        'access_token': access,
+        'refresh_token': refresh,
+        'account_id': account,
+        'expires_at': expires_at,
+        'connection_id': previous.get('connection_id') or secrets.token_urlsafe(24),
+    }
+
+
+class CodexAuth:
+    def __init__(self, ap):
+        self.ap = ap
+
+    def _where(self, workspace: str, provider: str):
+        return (CodexCredential.workspace_uuid == workspace, CodexCredential.provider_uuid == provider)
+
+    async def _execute(self, statement):
+        # SQLAlchemy/driver/serialization errors may embed the entire secret payload.
+        try:
+            return await self.ap.persistence_mgr.execute_async(statement)
+        except Exception:
+            raise ValueError('ChatGPT credential storage failed. Please retry.') from None
+
+    async def _read(self, workspace: str, provider: str) -> dict | None:
+        result = await self._execute(sa.select(CodexCredential).where(*self._where(workspace, provider)))
+        try:
+            row = result.first()
+            return dict(row._mapping) if row is not None else None
+        except Exception:
+            raise ValueError('ChatGPT credential storage failed. Please retry.') from None
+
+    async def _provider(self, context, provider: str, *, user: bool = False) -> str:
+        workspace = require_workspace_uuid(context)
+        if user and (
+            not isinstance(context, RequestContext)
+            or context.principal.principal_type != PrincipalType.ACCOUNT
+            or not context.account_uuid
+            or not has_permission(context, Permission.PROVIDER_SECRET_MANAGE)
+        ):
+            raise ValueError('ChatGPT authorization requires an authorized workspace user')
+        result = await self._execute(
+            sa.select(ModelProvider.requester).where(
+                ModelProvider.workspace_uuid == workspace, ModelProvider.uuid == provider
+            )
+        )
+        kind = result.scalar()
+        if kind is None:
+            raise WorkspaceNotFoundError('Provider not found')
+        if kind != REQUESTER:
+            raise ValueError('This provider does not use ChatGPT sign-in')
+        return workspace
+
+    @asynccontextmanager
+    async def _lease(self, workspace: str, provider: str, *, refresh: bool = False):
+        owner = ('refresh:' if refresh else 'device:') + secrets.token_urlsafe(32)
+        deadline = time.monotonic() + 65
+        while True:
+            now = time.time()
+            result = await self._execute(
+                sa.update(CodexCredential)
+                .where(
+                    *self._where(workspace, provider),
+                    sa.or_(CodexCredential.lease_owner.is_(None), CodexCredential.lease_until < now),
+                )
+                .values(lease_owner=owner, lease_until=now + LEASE_SECONDS)
+            )
+            if result.rowcount == 1:
+                break
+            if await self._read(workspace, provider) is None:
+                raise ValueError(LOGIN_REQUIRED)
+            if time.monotonic() >= deadline:
+                raise ValueError('ChatGPT authorization is busy. Please retry shortly.')
+            await asyncio.sleep(0.1)
+        try:
+            yield owner
+        finally:
+            await self._execute(
+                sa.update(CodexCredential)
+                .where(*self._where(workspace, provider), CodexCredential.lease_owner == owner)
+                .values(lease_owner=None, lease_until=0)
+            )
+
+    async def _save(self, workspace: str, provider: str, owner: str, payload: dict) -> None:
+        result = await self._execute(
+            sa.update(CodexCredential)
+            .where(
+                *self._where(workspace, provider),
+                CodexCredential.lease_owner == owner,
+                CodexCredential.lease_until > time.time(),
+            )
+            .values(payload=payload, version=CodexCredential.version + 1)
+        )
+        if result.rowcount != 1:
+            raise ValueError('ChatGPT authorization was cancelled or replaced. Please retry.')
+
+    async def _post(self, path: str, *, data=None, json_body=None) -> httpx.Response:
+        try:
+            async with httpx.AsyncClient(timeout=20, follow_redirects=False) as client:
+                return await asyncio.wait_for(
+                    client.post(
+                        ISSUER + path,
+                        data=data,
+                        json=json_body,
+                        headers={'Accept': 'application/json', 'User-Agent': 'LangBot'},
+                    ),
+                    25,
+                )
+        except (httpx.HTTPError, TimeoutError):
+            raise ValueError('ChatGPT authorization network error. Please retry.') from None
+
+    @staticmethod
+    def _json(response: httpx.Response) -> dict:
+        try:
+            value = response.json()
+            if not isinstance(value, dict):
+                raise ValueError
+            return value
+        except ValueError:
+            raise ValueError('ChatGPT returned an invalid authorization response') from None
+
+    async def status(self, context, provider: str) -> dict:
+        workspace = await self._provider(context, provider, user=True)
+        row = await self._read(workspace, provider)
+        payload = row['payload'] if row else {}
+        tokens = payload.get('tokens')
+        connected = bool(tokens and not payload.get('invalid'))
+        return {
+            'status': 'connected' if connected else 'expired' if payload.get('invalid') else 'disconnected',
+            'connected': connected,
+            'expires_at': tokens.get('expires_at') if tokens else None,
+        }
+
+    async def start(self, context, provider: str) -> dict:
+        workspace = await self._provider(context, provider, user=True)
+        async with self._lease(workspace, provider) as owner:
+            response = await self._post('/api/accounts/deviceauth/usercode', json_body={'client_id': CLIENT_ID})
+            if response.status_code != 200:
+                raise ValueError('Unable to start ChatGPT device login. Enable device code login in ChatGPT settings.')
+            data = self._json(response)
+            try:
+                code = data.get('user_code') or data['usercode']
+                device = data['device_auth_id']
+                interval = max(5, min(60, int(data.get('interval') or 5)))
+                if not isinstance(code, str) or not isinstance(device, str) or not code or not device:
+                    raise ValueError
+            except (KeyError, ValueError, TypeError):
+                raise ValueError('ChatGPT returned an invalid device code') from None
+            now = time.time()
+            try:
+                expiry = data.get('expires_at')
+                if expiry is None:
+                    expiry = now + float(data.get('expires_in', 900))
+                try:
+                    expires_at = float(expiry)
+                except ValueError:
+                    parsed = datetime.fromisoformat(expiry.replace('Z', '+00:00'))
+                    if parsed.tzinfo is None:
+                        parsed = parsed.replace(tzinfo=timezone.utc)
+                    expires_at = parsed.timestamp()
+                if not math.isfinite(expires_at) or expires_at <= now:
+                    raise ValueError
+                expires_at = min(now + 900, expires_at)
+            except (ValueError, TypeError):
+                raise ValueError('ChatGPT returned an invalid device code expiry') from None
+            pending = {
+                'authorization_id': secrets.token_urlsafe(32),
+                'user_code': code,
+                'device_auth_id': device,
+                'account_uuid': context.account_uuid,
+                'interval': interval,
+                'expires_at': expires_at,
+                'next_poll_at': now + interval,
+            }
+            row = await self._read(workspace, provider)
+            payload = dict(row['payload'])
+            payload['pending'] = pending
+            await self._save(workspace, provider, owner, payload)
+            return {k: pending[k] for k in ('authorization_id', 'user_code', 'interval', 'expires_at')} | {
+                'verification_uri': ISSUER + '/codex/device'
+            }
+
+    @staticmethod
+    def _attempt(payload: dict, context, authorization_id: str) -> dict | None:
+        pending = payload.get('pending')
+        if not pending or pending.get('authorization_id') != authorization_id:
+            return None
+        if pending.get('account_uuid') != context.account_uuid:
+            raise WorkspaceNotFoundError('Authorization not found')
+        return pending
+
+    async def poll(self, context, provider: str, authorization_id: str) -> dict:
+        workspace = await self._provider(context, provider, user=True)
+        if not isinstance(authorization_id, str) or not authorization_id:
+            raise ValueError('authorization_id is required')
+        async with self._lease(workspace, provider) as owner:
+            row = await self._read(workspace, provider)
+            payload = dict(row['payload'])
+            pending = self._attempt(payload, context, authorization_id)
+            if pending is None:
+                completed = payload.get('completed', {})
+                if (
+                    completed.get('authorization_id') == authorization_id
+                    and completed.get('account_uuid') == context.account_uuid
+                ):
+                    return {'status': 'connected'}
+                return {'status': 'expired'}
+            now = time.time()
+            if pending['expires_at'] <= now or pending.get('consumed'):
+                payload.pop('pending', None)
+                await self._save(workspace, provider, owner, payload)
+                return {'status': 'expired'}
+            if pending['next_poll_at'] > now:
+                return {'status': 'pending', 'interval': pending['interval']}
+            pending['next_poll_at'] = now + pending['interval']
+            await self._save(workspace, provider, owner, payload)
+            response = await self._post(
+                '/api/accounts/deviceauth/token',
+                json_body={'device_auth_id': pending['device_auth_id'], 'user_code': pending['user_code']},
+            )
+            if response.status_code in (403, 404, 429):
+                if response.status_code == 429:
+                    pending['interval'] = min(60, pending['interval'] + 5)
+                    pending['next_poll_at'] = time.time() + pending['interval']
+                    await self._save(workspace, provider, owner, payload)
+                return {'status': 'pending', 'interval': pending['interval']}
+            if response.status_code != 200:
+                payload.pop('pending', None)
+                await self._save(workspace, provider, owner, payload)
+                raise ValueError('ChatGPT device authorization failed. Please start again.')
+            data = self._json(response)
+            if not data.get('authorization_code') or not data.get('code_verifier'):
+                payload.pop('pending', None)
+                await self._save(workspace, provider, owner, payload)
+                raise ValueError('ChatGPT returned an incomplete device authorization')
+            # Keep an attempt tombstone so cancel can preempt exchange, but never replay a code.
+            pending['consumed'] = True
+            await self._save(workspace, provider, owner, payload)
+            response = await self._post(
+                '/oauth/token',
+                data={
+                    'grant_type': 'authorization_code',
+                    'client_id': CLIENT_ID,
+                    'code': data['authorization_code'],
+                    'code_verifier': data['code_verifier'],
+                    'redirect_uri': ISSUER + '/deviceauth/callback',
+                },
+            )
+            if response.status_code != 200:
+                raise ValueError('ChatGPT token exchange failed. Please start sign-in again.')
+            tokens = _tokens(self._json(response))
+            await self._save(
+                workspace,
+                provider,
+                owner,
+                {
+                    'tokens': tokens,
+                    'completed': {'authorization_id': authorization_id, 'account_uuid': context.account_uuid},
+                },
+            )
+            return {'status': 'connected'}
+
+    async def disconnect(self, context, provider: str) -> None:
+        workspace = await self._provider(context, provider, user=True)
+        await self._execute(
+            sa.update(CodexCredential)
+            .where(*self._where(workspace, provider))
+            .values(payload={}, lease_owner=None, lease_until=0, version=CodexCredential.version + 1)
+        )
+
+    async def cancel(self, context, provider: str, authorization_id: str) -> None:
+        workspace = await self._provider(context, provider, user=True)
+        deadline = time.monotonic() + 65
+        while time.monotonic() < deadline:
+            row = await self._read(workspace, provider)
+            if row is None:
+                return
+            old = row['payload']
+            if self._attempt(old, context, authorization_id) is None:
+                return
+            lease_owner = row['lease_owner']
+            if lease_owner and lease_owner.startswith('refresh:') and row['lease_until'] > time.time():
+                # A rotated refresh token must be committed before removing the attempt.
+                await asyncio.sleep(0.1)
+                continue
+            payload = dict(old)
+            payload.pop('pending', None)
+            result = await self._execute(
+                sa.update(CodexCredential)
+                .where(
+                    *self._where(workspace, provider),
+                    CodexCredential.version == row['version'],
+                    # Lease acquisition does not change version; fence that race too.
+                    CodexCredential.lease_owner == lease_owner,
+                )
+                .values(payload=payload, lease_owner=None, lease_until=0, version=CodexCredential.version + 1)
+            )
+            if result.rowcount == 1:
+                return
+        raise ValueError('Authorization changed concurrently. Please retry cancellation.')
+
+    async def access(self, context, provider: str, *, rejected_token: str | None = None) -> dict:
+        workspace = await self._provider(context, provider)
+        row = await self._read(workspace, provider)
+        payload = row['payload'] if row else {}
+        tokens = payload.get('tokens')
+        if not tokens or payload.get('invalid'):
+            raise ValueError(LOGIN_REQUIRED)
+        if tokens['expires_at'] > time.time() + 120 and tokens['access_token'] != rejected_token:
+            return tokens
+        async with self._lease(workspace, provider, refresh=True) as owner:
+            row = await self._read(workspace, provider)
+            payload = dict(row['payload'])
+            tokens = payload.get('tokens')
+            if not tokens or payload.get('invalid'):
+                raise ValueError(LOGIN_REQUIRED)
+            if tokens['expires_at'] > time.time() + 120 and tokens['access_token'] != rejected_token:
+                return tokens
+            response = await self._post(
+                '/oauth/token',
+                data={'grant_type': 'refresh_token', 'client_id': CLIENT_ID, 'refresh_token': tokens['refresh_token']},
+            )
+            error = self._json(response).get('error') if response.status_code in (400, 401, 403) else None
+            error_code = error.get('code') if isinstance(error, dict) else error
+            if error_code in (
+                'invalid_grant',
+                'refresh_token_reused',
+                'refresh_token_expired',
+                'refresh_token_revoked',
+            ):
+                payload['invalid'] = True
+                payload.pop('tokens', None)
+                payload.pop('completed', None)
+                await self._save(workspace, provider, owner, payload)
+                raise ValueError(LOGIN_REQUIRED)
+            if response.status_code != 200:
+                raise ValueError('ChatGPT token refresh temporarily failed. Please retry.')
+            refreshed = _tokens(self._json(response), tokens)
+            payload['tokens'] = refreshed
+            await self._save(workspace, provider, owner, payload)
+            return refreshed
@@ -723,6 +723,10 @@ class ModelManager:
            'requester_name': provider_entity.requester,
        }

+        if provider_entity.requester == 'openai-codex':
+            config['provider_uuid'] = provider_entity.uuid
+            config['workspace_uuid'] = context.workspace_uuid
+
        if litellm_provider:
            from .requesters import litellmchat

@@ -0,0 +1,382 @@
+"""Native ChatGPT Codex Responses/SSE requester (never Chat Completions)."""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import secrets
+import time
+from collections import OrderedDict
+
+import httpx
+import langbot
+import langbot_plugin.api.entities.builtin.provider.message as pm
+
+from .. import requester, reasoning
+from ..codex_auth import BASE_URL, CodexAuth, LOGIN_REQUIRED
+
+
+async def sse_events(response):
+    """Decode SSE records, including CRLF, comments, and multiline data."""
+    data = []
+    size = 0
+    async for line in response.aiter_lines():
+        if not line:
+            if data:
+                text = '\n'.join(data)
+                if text == '[DONE]':
+                    return
+                try:
+                    event = json.loads(text)
+                    if not isinstance(event, dict):
+                        raise ValueError
+                except ValueError:
+                    raise ValueError('Codex returned an invalid stream event') from None
+                yield event
+            data, size = [], 0
+        elif line.startswith('data:'):
+            value = line[5:]
+            if value.startswith(' '):
+                value = value[1:]
+            size += len(value)
+            if size > 4 * 1024 * 1024:
+                raise ValueError('Codex stream event exceeds the size limit')
+            data.append(value)
+    # SSE requires the blank separator; unterminated records cannot prove completion.
+
+
+def _content(message):
+    content = message.content
+    if isinstance(content, str):
+        return [{'type': 'output_text' if message.role == 'assistant' else 'input_text', 'text': content}]
+    result = []
+    for part in content or []:
+        if part.type == 'text':
+            result.append(
+                {'type': 'output_text' if message.role == 'assistant' else 'input_text', 'text': part.text or ''}
+            )
+        elif part.type == 'image_url' and part.image_url is not None:
+            result.append({'type': 'input_image', 'image_url': part.image_url.url})
+        elif part.type == 'image_base64' and part.image_base64:
+            value = part.image_base64
+            result.append(
+                {
+                    'type': 'input_image',
+                    'image_url': value if value.startswith('data:') else 'data:image/png;base64,' + value,
+                }
+            )
+        else:
+            raise ValueError('Codex supports text and images only; this message contains unsupported content')
+    return result
+
+
+def _tool(item):
+    try:
+        return pm.ToolCall(
+            id=item['call_id'],
+            type='function',
+            function=pm.FunctionCall(name=item['name'], arguments=item.get('arguments') or ''),
+        )
+    except (KeyError, ValueError, TypeError):
+        raise ValueError('Codex returned an invalid function call') from None
+
+
+def _usage(response):
+    usage = response.get('usage') or {}
+    return {
+        'prompt_tokens': usage.get('input_tokens', 0),
+        'completion_tokens': usage.get('output_tokens', 0),
+        'total_tokens': usage.get('total_tokens', usage.get('input_tokens', 0) + usage.get('output_tokens', 0)),
+        'prompt_tokens_details': usage.get('input_tokens_details', {}),
+        'completion_tokens_details': usage.get('output_tokens_details', {}),
+    }
+
+
+class CodexRequester(requester.ProviderAPIRequester):
+    async def initialize(self):
+        self.auth = CodexAuth(self.ap)
+        self.workspace = self.requester_cfg['workspace_uuid']
+        self.provider = self.requester_cfg['provider_uuid']
+        # Opaque replay data stays server-side; handles are scoped to the same query,
+        # model and OAuth connection. No token or encrypted reasoning enters messages.
+        self._replay = OrderedDict()
+
+    async def aclose(self):
+        self._replay.clear()
+
+    def get_reasoning_capabilities(self, model):
+        return {
+            'supported': True,
+            'levels': ['provider_default', 'low', 'medium', 'high', 'xhigh'],
+            'source': 'provider',
+        }
+
+    @staticmethod
+    def _headers(tokens, *, stream=False):
+        return {
+            'Authorization': 'Bearer ' + tokens['access_token'],
+            'ChatGPT-Account-ID': tokens['account_id'],
+            'User-Agent': 'LangBot/' + langbot.__version__,
+            'originator': 'langbot',
+            'OpenAI-Beta': 'responses=experimental',
+            'Accept': 'text/event-stream' if stream else 'application/json',
+        }
+
+    @staticmethod
+    def _http_error(status):
+        if status == 401:
+            return ValueError(LOGIN_REQUIRED)
+        if status == 429:
+            return ValueError('ChatGPT subscription usage limit reached. Please retry later or check your plan.')
+        if status == 403:
+            return ValueError('ChatGPT denied this request. Check subscription and workspace permissions.')
+        return ValueError(f'ChatGPT Codex request failed (HTTP {status})')
+
+    def _scope(self, query, model, tokens):
+        return (
+            id(query),
+            getattr(query, 'query_id', None),
+            model.model_entity.name,
+            tokens.get('connection_id'),
+            tokens['account_id'],
+        )
+
+    def _body(self, query, model, messages, funcs, extra_args, tokens):
+        args = {**(model.model_entity.extra_args or {}), **(extra_args or {})}
+        # Never permit credentials, transport overrides, store/history or arbitrary
+        # SDK kwargs to be smuggled through model advanced parameters.
+        allowed = {'reasoning', 'text', 'parallel_tool_calls', 'tool_choice'}
+        unknown = set(args) - allowed
+        if unknown:
+            raise ValueError('Unsupported Codex advanced parameters: ' + ', '.join(sorted(unknown)))
+        instructions = []
+        items = []
+        scope = self._scope(query, model, tokens)
+        for message in messages:
+            if message.role in ('system', 'developer'):
+                instructions.append('\n'.join(p['text'] for p in _content(message) if 'text' in p))
+                continue
+            if message.role == 'tool':
+                if not message.tool_call_id:
+                    raise ValueError('Codex tool results require a tool_call_id')
+                output = (
+                    message.content
+                    if isinstance(message.content, str)
+                    else json.dumps([p.model_dump(exclude_none=True) for p in message.content or []])
+                )
+                items.append({'type': 'function_call_output', 'call_id': message.tool_call_id, 'output': output or ''})
+                continue
+            if message.role not in ('assistant', 'user'):
+                raise ValueError('Unsupported Codex message role')
+            handle = (message.provider_specific_fields or {}).get('codex_replay_id')
+            cached = self._replay.get(handle) if isinstance(handle, str) else None
+            if query is not None and cached and cached[0] == scope and cached[1] > time.time():
+                items.extend(cached[2])
+                continue
+            content = _content(message)
+            if content:
+                items.append({'type': 'message', 'role': message.role, 'content': content})
+            for call in message.tool_calls or []:
+                items.append(
+                    {
+                        'type': 'function_call',
+                        'call_id': call.id,
+                        'name': call.function.name,
+                        'arguments': call.function.arguments,
+                    }
+                )
+        body = {
+            **args,
+            'model': model.model_entity.name,
+            'instructions': '\n\n'.join(instructions),
+            'input': items,
+            'store': False,
+            'stream': True,
+            'include': ['reasoning.encrypted_content'],
+        }
+        level = reasoning.normalize_reasoning_config(getattr(model.model_entity, 'reasoning_config', None))['level']
+        if level != 'provider_default':
+            reasoning.validate_reasoning_capabilities(
+                {'level': level}, self.get_reasoning_capabilities(model), model.model_entity.name
+            )
+            body['reasoning'] = {'effort': level, 'summary': 'auto'}
+        if funcs:
+            body['tools'] = [
+                {
+                    'type': 'function',
+                    'name': f.name,
+                    'description': f.description,
+                    'parameters': f.parameters,
+                    'strict': False,
+                }
+                for f in funcs
+            ]
+        return body
+
+    async def _events(self, query, model, messages, funcs, extra_args):
+        tokens = await self.auth.access(self.workspace, self.provider)
+        try:
+            async with asyncio.timeout(300), httpx.AsyncClient(timeout=120, follow_redirects=False) as client:
+                for attempt in range(2):
+                    body = self._body(query, model, messages, funcs, extra_args, tokens)
+                    async with client.stream(
+                        'POST', BASE_URL + '/responses', json=body, headers=self._headers(tokens, stream=True)
+                    ) as response:
+                        if response.status_code == 401 and attempt == 0:
+                            tokens = await self.auth.access(
+                                self.workspace, self.provider, rejected_token=tokens['access_token']
+                            )
+                            continue
+                        if response.status_code != 200:
+                            raise self._http_error(response.status_code)
+                        async for event in sse_events(response):
+                            yield event, tokens
+                        return
+        except (httpx.HTTPError, TimeoutError):
+            raise ValueError('ChatGPT Codex network error or timeout. Please retry.') from None
+
+    async def _chunks(self, query, model, messages, funcs, extra_args, remove_think, usage_out):
+        text = ''
+        seen_calls = set()
+        output_items = {}
+        response_id = None
+        async for event, tokens in self._events(query, model, messages, funcs, extra_args):
+            kind = event.get('type')
+            response = event.get('response') or {}
+            response_id = response.get('id') or response_id
+            if kind in ('error', 'response.failed', 'response.incomplete'):
+                raise ValueError('ChatGPT Codex response failed or was incomplete. Please retry.')
+            if kind == 'response.output_text.delta':
+                delta = event.get('delta', '')
+                text += delta
+                yield pm.MessageChunk(role='assistant', content=delta, resp_message_id=response_id)
+            elif kind in ('response.reasoning_summary_text.delta', 'response.reasoning_text.delta'):
+                if not remove_think:
+                    yield pm.MessageChunk(
+                        role='assistant',
+                        content='',
+                        provider_specific_fields={'reasoning_content': event.get('delta', '')},
+                    )
+            elif kind == 'response.output_item.done':
+                item = event.get('item') or {}
+                output_items[event.get('output_index', len(output_items))] = item
+                if item.get('type') == 'function_call' and item.get('call_id') not in seen_calls:
+                    seen_calls.add(item.get('call_id'))
+                    yield pm.MessageChunk(role='assistant', content='', tool_calls=[_tool(item)])
+            elif kind in ('response.completed', 'response.done'):
+                if response.get('status') not in (None, 'completed'):
+                    raise ValueError('ChatGPT Codex response was not completed')
+                output = response.get('output') or [output_items[k] for k in sorted(output_items)]
+                for item in output:
+                    if item.get('type') == 'function_call' and item.get('call_id') not in seen_calls:
+                        seen_calls.add(item.get('call_id'))
+                        yield pm.MessageChunk(role='assistant', content='', tool_calls=[_tool(item)])
+                # Some servers send only the terminal output, without text deltas.
+                final_text = ''.join(
+                    p.get('text', '')
+                    for item in output
+                    if item.get('type') == 'message'
+                    for p in item.get('content', [])
+                    if p.get('type') == 'output_text'
+                )
+                if not text and final_text:
+                    text = final_text
+                    yield pm.MessageChunk(role='assistant', content=text, resp_message_id=response_id)
+                usage_out.update(_usage(response))
+                if query is not None:
+                    if query.variables is None:
+                        query.variables = {}
+                    query.variables[requester.STREAM_USAGE_QUERY_VARIABLE] = dict(usage_out)
+                fields = None
+                if query is not None and output:
+                    handle = secrets.token_urlsafe(24)
+                    self._replay[handle] = (self._scope(query, model, tokens), time.time() + 3600, output)
+                    while len(self._replay) > 64:
+                        self._replay.popitem(last=False)
+                    fields = {'codex_replay_id': handle}
+                yield pm.MessageChunk(
+                    role='assistant',
+                    content='',
+                    all_content=text,
+                    is_final=True,
+                    resp_message_id=response_id,
+                    provider_specific_fields=fields,
+                )
+                return
+        raise ValueError('ChatGPT Codex stream ended before completion. Please retry.')
+
+    async def invoke_llm_stream(self, query, model, messages, funcs=None, extra_args=None, remove_think=False):
+        async for chunk in self._chunks(query, model, messages, funcs, extra_args, remove_think, {}):
+            yield chunk
+
+    async def invoke_llm(self, query, model, messages, funcs=None, extra_args=None, remove_think=False):
+        usage = {}
+        text = ''
+        calls = []
+        fields = {}
+        response_id = None
+        async for chunk in self._chunks(query, model, messages, funcs, extra_args, remove_think, usage):
+            text += chunk.content or ''
+            calls.extend(chunk.tool_calls or [])
+            response_id = chunk.resp_message_id or response_id
+            for key, value in (chunk.provider_specific_fields or {}).items():
+                fields[key] = fields.get(key, '') + value if key == 'reasoning_content' else value
+        return pm.Message(
+            role='assistant',
+            content=text,
+            tool_calls=calls or None,
+            resp_message_id=response_id,
+            provider_specific_fields=fields or None,
+        ), usage
+
+    async def scan_models(self, api_key=None):
+        tokens = await self.auth.access(self.workspace, self.provider)
+        try:
+            async with asyncio.timeout(90), httpx.AsyncClient(timeout=30, follow_redirects=False) as client:
+                for attempt in range(2):
+                    response = await client.get(
+                        BASE_URL + '/models',
+                        params={'client_version': langbot.__version__},
+                        headers=self._headers(tokens),
+                    )
+                    if response.status_code == 401 and attempt == 0:
+                        tokens = await self.auth.access(
+                            self.workspace, self.provider, rejected_token=tokens['access_token']
+                        )
+                        continue
+                    if response.status_code != 200:
+                        raise self._http_error(response.status_code)
+                    data = response.json()
+                    if not isinstance(data, dict) or not isinstance(data.get('models'), list):
+                        raise ValueError('ChatGPT returned an invalid model catalog')
+                    result = {}
+                    for item in data['models']:
+                        name = item.get('slug') or item.get('id')
+                        if not isinstance(name, str) or not name or item.get('visibility') == 'hide':
+                            continue
+                        modalities = item.get('input_modalities') or ['text']
+                        abilities = ['func_call']
+                        if 'image' in modalities:
+                            abilities.append('vision')
+                        if item.get('supported_reasoning_levels'):
+                            abilities.append('reasoning')
+                        result[name] = {
+                            'id': name,
+                            'name': name,
+                            'type': 'llm',
+                            'abilities': abilities,
+                            'display_name': item.get('display_name'),
+                            'description': item.get('description'),
+                            'context_length': item.get('context_window'),
+                            'input_modalities': modalities,
+                            'output_modalities': ['text'],
+                            'owned_by': 'openai',
+                        }
+                    return {'models': list(result.values()), 'debug': None}
+        except (httpx.HTTPError, TimeoutError):
+            raise ValueError('ChatGPT model discovery network error. Please retry.') from None
+        except (ValueError, TypeError, KeyError, AttributeError) as exc:
+            # Never echo upstream response bodies (which may contain credentials).
+            if isinstance(exc, ValueError) and str(exc).startswith(('ChatGPT', 'Codex')):
+                raise
+            raise ValueError('ChatGPT returned an invalid model catalog') from None
@@ -0,0 +1,27 @@
+apiVersion: v1
+kind: LLMAPIRequester
+metadata:
+  name: openai-codex
+  label:
+    en_US: OpenAI Codex
+    zh_Hans: OpenAI Codex
+    ja_JP: OpenAI Codex
+  icon: openai.svg
+spec:
+  config:
+  - name: base_url
+    label:
+      en_US: ChatGPT endpoint
+      zh_Hans: ChatGPT 服务地址
+      ja_JP: ChatGPT エンドポイント
+    type: string
+    required: false
+    default: https://chatgpt.com/backend-api/codex
+  alias: "openai codex ChatGPT subscription OAuth 订阅"
+  support_type:
+  - llm
+  provider_category: manufacturer
+execution:
+  python:
+    path: ./codex.py
+    attr: CodexRequester
@@ -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 == 'ollama':
+        elif family in ('ollama', 'ollama_chat'):
            levels = ['provider_default']
            levels.append('disabled')
            if normalized_name.startswith('gpt-oss') or '/gpt-oss' in normalized_name:
@@ -747,9 +747,24 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
                converted_parts = []
                for part in content:
                    if isinstance(part, dict) and part.get('type') == 'image_base64':
-                        part['image_url'] = {'url': part['image_base64']}
-                        part['type'] = 'image_url'
-                        del part['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
                    # 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
@@ -1330,7 +1345,14 @@ class LiteLLMRequester(requester.ProviderAPIRequester):
        extra_args: dict[str, typing.Any] = {},
    ) -> tuple[list[list[float]], dict]:
        """Invoke embedding and return vectors with usage info."""
-        model_name = self._build_litellm_model_name(model.model_entity.name)
+        # 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)
        api_key = model.provider.token_mgr.get_token()

        args = {
@@ -1526,6 +1548,12 @@ 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
+  litellm_provider: ollama_chat
  config:
  - name: base_url
    label:
@@ -619,7 +619,9 @@ class LocalAgentRunner(runner.RequestRunner):
                        and len(func_ret) > 0
                        and isinstance(func_ret[0], provider_message.ContentElement)
                    ):
-                        tool_content = func_ret
+                        # 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)
                    else:
                        tool_content = json.dumps(func_ret, ensure_ascii=False)

@@ -39,6 +39,9 @@ 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')
@@ -262,7 +265,11 @@ class N8nServiceAPIRunner(runner.RequestRunner):
            async with session.post(
                self.webhook_url, json=payload, headers=headers, auth=auth, timeout=self.timeout
            ) as response:
-                if response.status != 200:
+                if self.response_handling == 'ignore':
+                    status_ok = 200 <= response.status < 300
+                else:
+                    status_ok = response.status == 200
+                if not status_ok:
                    error_text = (
                        await httpclient.read_limited(
                            response,
@@ -272,6 +279,11 @@ 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
@@ -222,6 +222,7 @@ 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.'
            )

@@ -42,7 +42,8 @@ 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.'
+                'No sandbox backend (Docker/nsjail/E2B) is ready. '
+                'Trusted local development may explicitly select box.backend=host.'
            )

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


-def _validate_patterns(patterns: Sequence[str]) -> tuple[str, ...]:
+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')
    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')
@@ -115,8 +121,9 @@ def _mask_patterns_sync(
    mask: str,
    mask_word: str,
    timeout_seconds: float,
+    max_pattern_count: int,
 ) -> tuple[bool, str]:
-    normalized_patterns = _validate_patterns(patterns)
+    normalized_patterns = _validate_patterns(patterns, max_pattern_count=max_pattern_count)
    _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')
@@ -162,6 +169,7 @@ 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."""

@@ -174,4 +182,5 @@ 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://link.langbot.app/en/docs/update',
+                    'New version available. Update guide: https://langbot.app/docs/en/deploy/update',
                    logging.INFO,
                )
        except Exception as e:
@@ -240,7 +240,7 @@ class InvitationDeliveryService:
    @staticmethod
    def _plain_text(workspace_name: str, invitation_link: str) -> str:
        return (
-            'You have been invited to LangBot Cloud\n\n'
+            'You have been invited to join a Workspace in LangBot\n\n'
            f'Join the Workspace “{workspace_name}” to collaborate with your team.\n\n'
            f'Accept invitation: {invitation_link}\n\n'
            'This secure invitation expires in 7 days and can only be accepted by the email address '
@@ -258,30 +258,77 @@ class InvitationDeliveryService:
 <head>
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width,initial-scale=1">
-  <title>Join {escaped_workspace} on LangBot Cloud</title>
+  <meta http-equiv="X-UA-Compatible" content="IE=edge">
+  <title>Join {escaped_workspace} in LangBot</title>
 </head>
-<body style="margin:0;background:#f4f7fb;color:#152033;font-family:Inter,-apple-system,BlinkMacSystemFont,'Segoe UI',sans-serif;">
-  <div style="display:none;max-height:0;overflow:hidden;opacity:0;">You have been invited to join {escaped_workspace} on LangBot Cloud.</div>
-  <table role="presentation" width="100%" cellspacing="0" cellpadding="0" style="background:#f4f7fb;padding:40px 16px;">
-    <tr><td align="center">
-      <table role="presentation" width="100%" cellspacing="0" cellpadding="0" style="max-width:600px;background:#ffffff;border:1px solid #e5eaf2;border-radius:16px;overflow:hidden;box-shadow:0 12px 32px rgba(20,49,93,.08);">
-        <tr><td style="padding:28px 36px;background:linear-gradient(135deg,#0f172a,#1d4ed8);color:#ffffff;">
-          <div style="font-size:14px;font-weight:700;letter-spacing:.08em;text-transform:uppercase;opacity:.78;">LangBot Cloud</div>
-          <div style="font-size:26px;font-weight:700;margin-top:8px;line-height:1.25;">You’re invited</div>
-        </td></tr>
-        <tr><td style="padding:36px;">
-          <p style="margin:0 0 18px;font-size:16px;line-height:1.65;color:#475569;">You have been invited to collaborate in this Workspace:</p>
-          <div style="margin:0 0 26px;padding:18px 20px;background:#f8fafc;border:1px solid #e2e8f0;border-radius:12px;font-size:18px;font-weight:700;color:#0f172a;">{escaped_workspace}</div>
-          <table role="presentation" cellspacing="0" cellpadding="0"><tr><td style="border-radius:9px;background:#2563eb;">
-            <a href="{escaped_link}" style="display:inline-block;padding:13px 22px;color:#ffffff;text-decoration:none;font-size:15px;font-weight:700;">Accept invitation</a>
-          </td></tr></table>
-          <p style="margin:26px 0 8px;font-size:14px;line-height:1.6;color:#64748b;">This invitation expires in 7 days and is bound to the email address that received it.</p>
-          <p style="margin:0 0 8px;font-size:13px;line-height:1.6;color:#94a3b8;">If the button does not work, copy and paste this URL into your browser:</p>
-          <p style="margin:0;padding:12px;background:#f8fafc;border-radius:8px;word-break:break-all;font-size:12px;line-height:1.55;color:#475569;">{escaped_link}</p>
-        </td></tr>
-        <tr><td style="padding:20px 36px;border-top:1px solid #eef2f7;font-size:12px;line-height:1.6;color:#94a3b8;">If you were not expecting this invitation, you can safely ignore this email.</td></tr>
-      </table>
-    </td></tr>
+<body style="margin:0;padding:0;background:#f4f7fb;color:#111827;font-family:Arial,'Helvetica Neue',sans-serif;">
+  <div style="display:none;max-height:0;overflow:hidden;opacity:0;">You have been invited to join {escaped_workspace} in LangBot.</div>
+  <table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0" style="width:100%;background:#f4f7fb;">
+    <tr>
+      <td align="center" style="padding:48px 16px;">
+        <table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0" style="width:100%;max-width:600px;">
+          <tr>
+            <td style="padding:0 4px 20px;">
+              <img src="https://langbot.app/docs/langbot-logo.png" alt="LangBot" width="34" height="34" style="display:inline-block;width:34px;height:34px;border:0;vertical-align:middle;">
+              <span style="display:inline-block;margin-left:10px;vertical-align:middle;font-size:18px;font-weight:700;letter-spacing:-.01em;">LangBot</span>
+            </td>
+          </tr>
+          <tr>
+            <td style="background:#ffffff;border-radius:10px;overflow:hidden;">
+              <table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0">
+                <tr>
+                  <td style="padding:42px 42px 38px;">
+                    <div style="margin:0 0 12px;font-size:13px;line-height:1.4;font-weight:600;color:#5f6f84;">Workspace invitation</div>
+                    <h1 style="margin:0 0 16px;font-size:28px;line-height:1.25;font-weight:700;letter-spacing:-.025em;color:#111827;">You’re invited to collaborate</h1>
+                    <p style="margin:0 0 28px;font-size:15px;line-height:1.7;color:#526173;">Join your team in LangBot and start building together in this Workspace.</p>
+
+                    <table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0" style="background:#f6f8fb;border-radius:8px;">
+                      <tr>
+                        <td style="padding:16px 18px;">
+                          <div style="margin:0 0 4px;font-size:11px;line-height:1.4;font-weight:700;letter-spacing:.08em;text-transform:uppercase;color:#5f6f84;">Workspace</div>
+                          <div style="font-size:18px;line-height:1.4;font-weight:700;color:#111827;">{escaped_workspace}</div>
+                        </td>
+                      </tr>
+                    </table>
+
+                    <table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0">
+                      <tr><td height="28" style="height:28px;font-size:0;line-height:0;">&nbsp;</td></tr>
+                    </table>
+
+                    <table role="presentation" cellspacing="0" cellpadding="0" border="0">
+                      <tr>
+                        <td style="background:#2563eb;border-radius:8px;">
+                          <a href="{escaped_link}" target="_blank" style="display:inline-block;padding:13px 22px;font-size:15px;line-height:1.2;font-weight:700;color:#ffffff;text-decoration:none;border-radius:8px;">Accept invitation</a>
+                        </td>
+                      </tr>
+                    </table>
+
+                    <table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0">
+                      <tr><td height="32" style="height:32px;font-size:0;line-height:0;">&nbsp;</td></tr>
+                    </table>
+
+                    <table role="presentation" width="100%" cellspacing="0" cellpadding="0" border="0" style="border-top:1px solid #e8edf4;">
+                      <tr>
+                        <td style="padding-top:22px;">
+                          <p style="margin:0 0 10px;font-size:13px;line-height:1.6;color:#5f6f84;">For your security, this invitation expires in 7 days and only works for the email address that received it.</p>
+                          <a href="{escaped_link}" target="_blank" style="font-size:13px;line-height:1.6;font-weight:600;color:#2563eb;text-decoration:none;">Open invitation link&nbsp;&rarr;</a>
+                        </td>
+                      </tr>
+                    </table>
+                  </td>
+                </tr>
+              </table>
+            </td>
+          </tr>
+          <tr>
+            <td align="center" style="padding:20px 24px 0;font-size:12px;line-height:1.6;color:#5f6f84;">
+              Sent by LangBot<br>
+              If you were not expecting this invitation, you can safely ignore this email.
+            </td>
+          </tr>
+        </table>
+      </td>
+    </tr>
  </table>
 </body>
 </html>'''
@@ -331,7 +331,10 @@ box:
    # skill tool, skill add/edit, and stdio-mode MCP servers. Skills can still
    # be listed read-only and http/sse MCP servers continue to work.
    enabled: true
-    backend: 'local'  # 'local' (Docker/nsjail), 'docker', 'nsjail', or 'e2b'. Can be written via BOX__BACKEND.
+    # 'host' runs commands directly as the Box Runtime user without sandbox
+    # isolation. It is never auto-selected and is only for trusted local
+    # development. Can be written via BOX__BACKEND.
+    backend: 'local'  # 'local' (Docker/nsjail), 'docker', 'nsjail', 'e2b', or explicit unsafe 'host'.
    runtime:
        # LANGBOT_BOX_CONTROL_TOKEN is optional for OSS external WebSocket
        # runtimes. To protect an exposed endpoint, set the same strong secret
@@ -80,7 +80,8 @@
            "header-name": "",
            "header-value": "",
            "timeout": 120,
-            "output-key": "response"
+            "output-key": "response",
+            "response-handling": "reply"
        },
        "langflow-api": {
            "base-url": "http://localhost:7860",
@@ -7,6 +7,9 @@
  // Read config from script tag data attributes
  var scriptEl = document.currentScript;
  var scriptTitle = scriptEl ? scriptEl.getAttribute("data-title") : null;
+  var scriptTestNotice = scriptEl
+    ? scriptEl.getAttribute("data-test-notice")
+    : null;

  // ========== i18n ==========
  var I18N = {
@@ -192,6 +195,7 @@
    .lb-header-btn { background: none; border: none; color: #fff; cursor: pointer; padding: 4px; border-radius: 6px; display: flex; align-items: center; justify-content: center; opacity: 0.8; transition: opacity 0.15s; }\
    .lb-header-btn:hover { opacity: 1; }\
    .lb-header-btn svg { width: 18px; height: 18px; fill: currentColor; }\
+    .lb-test-notice { padding: 8px 16px; border-bottom: 1px solid #fde68a; background: #fffbeb; color: #92400e; font-size: 12px; line-height: 1.5; text-align: center; flex-shrink: 0; }\
    .lb-messages { flex: 1; overflow-y: auto; padding: 16px; display: flex; flex-direction: column; gap: 16px; scroll-behavior: smooth; }\
    .lb-messages::-webkit-scrollbar { width: 6px; }\
    .lb-messages::-webkit-scrollbar-track { background: transparent; }\
@@ -638,9 +642,10 @@
              .replace(/\s+/g, " ")
              .trim();
            if (
-              prevContent === content ||
-              prevContent.indexOf(content) >= 0 ||
-              content.indexOf(prevContent) >= 0
+              prevContent &&
+              (prevContent === content ||
+                prevContent.indexOf(content) >= 0 ||
+                content.indexOf(prevContent) >= 0)
            )
              return;
          }
@@ -1240,6 +1245,14 @@
    // Root container
    var root = document.createElement("div");
    root.id = "langbot-widget-root";
+    root.langbotDestroy = function () {
+      wsDisconnect();
+      if (state.historyReloadTimer) {
+        clearTimeout(state.historyReloadTimer);
+        state.historyReloadTimer = null;
+      }
+      root.remove();
+    };
    document.body.appendChild(root);

    var shadow = root.attachShadow({ mode: "open" });
@@ -1328,6 +1341,14 @@
    header.appendChild(headerActions);
    panel.appendChild(header);

+    if (scriptTestNotice) {
+      var testNotice = document.createElement("div");
+      testNotice.className = "lb-test-notice";
+      testNotice.setAttribute("role", "note");
+      testNotice.textContent = scriptTestNotice;
+      panel.appendChild(testNotice);
+    }
+
    // Messages area
    var messages = document.createElement("div");
    messages.className = "lb-messages";
@@ -325,7 +325,7 @@ stages:
          zh_Hans: API 密钥
        type: string
        required: true
-        default: 'your-api-key'
+        default: ''
  - name: n8n-service-api
    label:
      en_US: n8n Workflow API
@@ -475,6 +475,25 @@ stages:
        type: string
        required: false
        default: 'response'
+      - name: response-handling
+        label:
+          en_US: Webhook Response Handling
+          zh_Hans: Webhook 响应处理方式
+        description:
+          en_US: Choose whether LangBot forwards the n8n webhook response to the chat user. Ignore mode requires the n8n Webhook node to use Respond Immediately.
+          zh_Hans: 选择是否将 n8n Webhook 响应转发给聊天用户。忽略模式要求 n8n Webhook 节点使用“立即响应”。
+        type: select
+        required: false
+        default: 'reply'
+        options:
+          - name: reply
+            label:
+              en_US: Forward as chat reply
+              zh_Hans: 转发为聊天回复
+          - name: ignore
+            label:
+              en_US: Ignore response body (asynchronous workflow)
+              zh_Hans: 忽略响应正文（异步工作流）
  - name: coze-api
    label:
      en_US: coze API
@@ -0,0 +1,106 @@
+"""Exercise Codex provider wiring through a real LangBot process.
+
+The default run does not contact OpenAI. Set LANGBOT_TEST_CODEX_DEVICE_AUTH=1
+to also exercise live device start/pending/cancel, without account sign-in.
+OAuth exchange and inference behavior are covered by deterministic tests.
+"""
+
+from __future__ import annotations
+
+import os
+import time
+
+import pytest
+
+pytestmark = pytest.mark.e2e
+
+
+def test_codex_provider_disconnected_journey(e2e_client):
+    credentials = {'user': 'codex-e2e@example.com', 'password': 'codex-local-test-password'}
+    initialized = e2e_client.post('/api/v1/user/init', json=credentials)
+    assert initialized.status_code == 200, initialized.text
+    authenticated = e2e_client.post('/api/v1/user/auth', json=credentials)
+    assert authenticated.status_code == 200, authenticated.text
+    headers = {'Authorization': f'Bearer {authenticated.json()["data"]["token"]}'}
+    bootstrap = e2e_client.get('/api/v1/workspaces/bootstrap', headers=headers)
+    assert bootstrap.status_code == 200, bootstrap.text
+    headers['X-Workspace-Id'] = bootstrap.json()['data']['workspaces'][0]['workspace']['uuid']
+
+    requesters = e2e_client.get('/api/v1/provider/requesters?type=llm', headers=headers)
+    assert requesters.status_code == 200, requesters.text
+    codex = next(item for item in requesters.json()['data']['requesters'] if item['name'] == 'openai-codex')
+    assert codex['spec']['support_type'] == ['llm']
+    icon = e2e_client.get('/api/v1/provider/requesters/openai-codex/icon')
+    assert icon.status_code == 200
+    assert 'image/' in icon.headers['content-type']
+
+    base = '/api/v1/provider/providers'
+    created = e2e_client.post(
+        base,
+        headers=headers,
+        json={'name': 'Codex E2E', 'requester': 'openai-codex', 'base_url': '', 'api_keys': []},
+    )
+    assert created.status_code == 200, created.text
+    provider_path = f'{base}/{created.json()["data"]["uuid"]}'
+    try:
+        provider = e2e_client.get(provider_path, headers=headers)
+        assert provider.status_code == 200, provider.text
+        data = provider.json()['data']['provider']
+        assert data['requester'] == 'openai-codex'
+        assert data['api_keys'] == []
+        assert data['base_url'] == 'https://chatgpt.com/backend-api/codex'
+        assert not {'access_token', 'refresh_token', 'id_token'} & data.keys()
+
+        status = e2e_client.get(f'{provider_path}/codex/status', headers=headers)
+        assert status.status_code == 200, status.text
+        assert status.json()['data']['connected'] is False
+        assert status.json()['data']['status'] == 'disconnected'
+
+        anonymous = e2e_client.post(f'{provider_path}/codex/device', json={})
+        assert anonymous.status_code == 401
+        invalid = e2e_client.put(provider_path, headers=headers, json={'base_url': 'https://example.com'})
+        assert invalid.status_code == 400, invalid.text
+        invalid_key = e2e_client.put(provider_path, headers=headers, json={'api_keys': ['not-a-codex-key']})
+        assert invalid_key.status_code == 400, invalid_key.text
+
+        scanned = e2e_client.get(f'{provider_path}/scan-models?type=llm', headers=headers)
+        assert scanned.status_code == 400, scanned.text
+        assert 'sign in' in scanned.json()['msg'].lower()
+
+        renamed = e2e_client.put(provider_path, headers=headers, json={'name': 'Codex renamed'})
+        assert renamed.status_code == 200, renamed.text
+        reread = e2e_client.get(provider_path, headers=headers)
+        assert reread.json()['data']['provider']['name'] == 'Codex renamed'
+        disconnected = e2e_client.delete(f'{provider_path}/codex/auth', headers=headers)
+        assert disconnected.status_code == 200, disconnected.text
+
+        # Opt-in smoke contacts real OpenAI device endpoints, but never completes
+        # account sign-in or prints the one-time code/device credentials.
+        if os.environ.get('LANGBOT_TEST_CODEX_DEVICE_AUTH') == '1':
+            started = e2e_client.post(f'{provider_path}/codex/device', headers=headers, json={})
+            assert started.status_code == 200, started.json().get('msg', 'Device start failed')
+            attempt = started.json()['data']
+            assert attempt['verification_uri'] == 'https://auth.openai.com/codex/device'
+            assert isinstance(attempt['user_code'], str) and attempt['user_code']
+            assert 0 < attempt['expires_at'] - time.time() <= 900
+            assert not {'access_token', 'refresh_token', 'device_auth_id'} & attempt.keys()
+            time.sleep(attempt['interval'])
+            pending = e2e_client.post(
+                f'{provider_path}/codex/device/poll',
+                headers=headers,
+                json={'authorization_id': attempt['authorization_id']},
+            )
+            assert pending.status_code == 200
+            assert pending.json()['data']['status'] == 'pending'
+            canceled = e2e_client.delete(f'{provider_path}/codex/device/{attempt["authorization_id"]}', headers=headers)
+            assert canceled.status_code == 200
+            expired = e2e_client.post(
+                f'{provider_path}/codex/device/poll',
+                headers=headers,
+                json={'authorization_id': attempt['authorization_id']},
+            )
+            assert expired.json()['data']['status'] == 'expired'
+    finally:
+        deleted = e2e_client.delete(provider_path, headers=headers)
+        assert deleted.status_code == 200, deleted.text
+    assert e2e_client.get(provider_path, headers=headers).status_code == 404
@@ -69,7 +69,7 @@ class LangBotProcess:
            # Use coverage.py to collect coverage data
            # Set COVERAGE_PROCESS_START to enable coverage in subprocess
            self._coverage_file = self.work_dir / '.coverage.e2e'
-            env['COVERAGE_PROCESS_START'] = str(self.project_root / '.coveragerc')
+            env['COVERAGE_PROCESS_START'] = str(self.work_dir / '.coveragerc')
            env['COVERAGE_FILE'] = str(self._coverage_file)

            # Create .coveragerc for subprocess
@@ -242,6 +242,22 @@ class TestMonitoringSessionsEndpoint:

        assert response.status_code == 200

+    @pytest.mark.asyncio
+    async def test_get_sessions_forwards_user_search_and_page_window(self, quart_test_client, fake_monitoring_app):
+        fake_monitoring_app.monitoring_service.get_sessions.reset_mock()
+
+        response = await quart_test_client.get(
+            '/api/v1/monitoring/sessions?botId=bot-1&userQuery=alice&limit=20&offset=40',
+            headers={'Authorization': 'Bearer test_token'},
+        )
+
+        assert response.status_code == 200
+        kwargs = fake_monitoring_app.monitoring_service.get_sessions.await_args.kwargs
+        assert kwargs['bot_ids'] == ['bot-1']
+        assert kwargs['user_query'] == 'alice'
+        assert kwargs['limit'] == 20
+        assert kwargs['offset'] == 40
+

@pytest.mark.usefixtures('mock_circular_import_chain')
 class TestMonitoringErrorsEndpoint:
@@ -278,13 +294,19 @@ class TestMonitoringDetailsEndpoints:
    """Tests for detail endpoints."""

    @pytest.mark.asyncio
-    async def test_get_session_analysis(self, quart_test_client):
+    async def test_get_session_analysis(self, quart_test_client, fake_monitoring_app):
        """GET /api/v1/monitoring/sessions/{id}/analysis."""
        response = await quart_test_client.get(
-            '/api/v1/monitoring/sessions/sess-1/analysis', headers={'Authorization': 'Bearer test_token'}
+            '/api/v1/monitoring/sessions/sess-1/analysis'
+            '?startTime=2026-08-31T16%3A00%3A00.000Z'
+            '&endTime=2026-09-01T15%3A59%3A59.999Z',
+            headers={'Authorization': 'Bearer test_token'},
        )

        assert response.status_code == 200
+        kwargs = fake_monitoring_app.monitoring_service.get_session_analysis.await_args.kwargs
+        assert kwargs['start_time'].isoformat() == '2026-08-31T16:00:00'
+        assert kwargs['end_time'].isoformat() == '2026-09-01T15:59:59.999000'

    @pytest.mark.asyncio
    async def test_get_message_details(self, quart_test_client):
@@ -254,6 +254,22 @@ class TestPipelinesCRUDEndpoints:
        assert data['code'] == 0
        assert 'uuid' in data['data']

+    @pytest.mark.asyncio
+    async def test_create_default_pipeline_forwards_default_flag(self, quart_test_client, fake_pipeline_app):
+        """POST /api/v1/pipelines explicitly creates a default pipeline."""
+        fake_pipeline_app.pipeline_service.create_pipeline.reset_mock()
+
+        response = await quart_test_client.post(
+            '/api/v1/pipelines',
+            headers={'Authorization': 'Bearer test_token'},
+            json={'name': 'Default Pipeline', 'config': {}, 'is_default': True},
+        )
+
+        assert response.status_code == 200
+        call = fake_pipeline_app.pipeline_service.create_pipeline.await_args
+        assert call.kwargs == {'default': True}
+        assert call.args[1]['is_default'] is True
+
    @pytest.mark.asyncio
    async def test_update_pipeline_success(self, quart_test_client):
        """PUT /api/v1/pipelines/{uuid} updates pipeline."""
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
dadachann	cefdab98a1	style: format Codex live integration test	2026-09-06 07:53:30 +00:00
dadachann	9bc71e643b	feat(provider): support Codex subscriptions with ChatGPT sign-in	2026-09-06 07:52:13 +00:00
Hyu	ec63978ecf	docs: replace legacy documentation shortlinks (#2510 ) * docs: replace legacy documentation shortlinks * style: format updated documentation URLs --------- Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-05 01:19:28 +08:00
Hyu	1cfe87186c	docs: update published documentation links (#2509 ) Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-05 00:55:18 +08:00
leonoxo	9794df0933	feat(n8n-runner): support async response handling (#2487 ) * feat(n8n-runner): support async response handling * fix(n8n-runner): expose response handling in form * fix(n8n-runner): preserve async response semantics --------- Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-04 22:36:40 +08:00
Hyu	a63808caa6	chore(release): prepare LangBot 4.10.10 (#2507 ) Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-04 21:47:31 +08:00
mintya	de3c0b00ad	fix(bot): roll back inserted bot row when adapter fails to load (#2497 ) create_bot inserts the Bot row first and only then instantiates the adapter via platform_mgr.load_bot. When the adapter constructor raises (e.g. KeyError on a missing credential key), the insert is already committed and nothing removes the row: the HTTP layer returns 500 but a permanently disabled orphan bot stays in the DB. Callers never receive the bot uuid, so they cannot compensate by deleting it, and load_bots_from_db skips enable=False bots, so the orphan is never loaded or surfaced anywhere. Wrap load_bot in try/except and delete the inserted row before re-raising. Add a regression test asserting the DELETE is issued when the adapter constructor fails.	2026-09-04 13:06:12 +08:00
mintya	cb45807b12	fix(qqofficial): tolerate missing optional token in adapter config (#2496 ) Since `b55f073e` the token field is optional in qqofficial.yaml ("the current adapter implementation does not use it either, so it can be safely left blank"), but the adapter constructor still reads it with config['token']. Creating a bot via QR binding (which only returns appid/secret) or with the token field left blank raises KeyError and the API returns 500. Read it with config.get('token', '') instead. The value is never used by QQOfficialClient beyond being stored, so an empty string default is safe.	2026-09-04 13:05:36 +08:00
Amir Fathi	d942bfe19a	fix(wecom): read media_id instead of media in send_message() (#2447 ) WecomMessageConverter.yiri2target() always emits {'media_id': ...} for image/voice/file parts (never 'media'), matching the correct usage already in reply_message(). send_message(), the entry point plugins use via PluginToRuntimeAction.SEND_MESSAGE, instead read content['media'], which is never set, so any image/voice/file part raises KeyError and aborts the send. Refs #1687 Signed-off-by: Amir Fathi <amirfathi.me@gmail.com>	2026-09-04 13:02:40 +08:00
Hyu	b44b8f474d	fix(cloud): provision login workspace just in time (#2505 ) * fix(cloud): provision login workspace just in time * fix(oauth): send callback URI during code exchange * fix(oauth): preserve callback URI through browser exchange * fix(oauth): negotiate redirect-bound codes --------- Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-03 23:14:44 +08:00
Hyu	ab52684a01	Revert "fix(cloud): request automatic Space launch (#2501 )" (#2503 ) This reverts commit `d50957fc4f`. Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-03 12:16:21 +08:00
Hyu	d50957fc4f	fix(cloud): request automatic Space launch (#2501 ) Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-03 11:44:32 +08:00
Hyu	c8d8b1aac4	fix(cloud): serialize directory catch-up (#2500 ) Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-02 21:57:53 +08:00
Hyu	018dd7a363	fix(cloud): launch newly registered accounts through Space (#2499 ) * fix(cloud): launch new accounts through Space * style: format Cloud entry URL * fix(cloud): wait for launch workspace projection --------- Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-02 21:41:35 +08:00
huanghuoguoguo	7b7d3f04e8	feat(box): support explicit host backend (#2498 )	2026-09-02 21:22:14 +08:00
CWT	601c6975ea	fix(ollama): use litellm's ollama_chat provider for native tool-calling (#2494 ) The Ollama requester declared litellm_provider: ollama, which routes every request through litellm's legacy /api/generate-based OllamaConfig. That config's get_supported_openai_params() does not include "tools"/"tool_choice" at all, so an Ollama-hosted model in a local-agent pipeline could never receive a structured tool definition or return a structured tool_calls response - it could only try to express a tool call as free text (typically inside its own <think> reasoning), which LangBot then has no way to execute. litellm's "ollama_chat" provider targets Ollama's modern /api/chat endpoint instead, which correctly forwards tools/tool_choice and correctly surfaces the model's native message.tool_calls field. Verified against a real local Ollama 0.33.2 instance with the exact system prompt, RAG-augmented user message, and tool set a live pipeline sends. Two follow-on fixes needed because the Ollama requester definition is shared by LLM and text-embedding models: - get_reasoning_capabilities: match family in ('ollama', 'ollama_chat') so the reasoning-level UI still works for this provider. - scan_models: retry {base_url}/v1/models on a 404 from {base_url}/models, since Ollama's base_url is a bare host (must not include /v1 - that would break OllamaChatConfig.get_complete_url, which appends /api/chat to it directly), unlike most other OpenAI-compatible providers whose base_url already ends in /v1. - invoke_embedding: litellm's embedding routing has no "ollama_chat" case, only "ollama". Build the embedding model name with an explicit custom_llm_provider="ollama" override when the requester is configured for ollama_chat, so embedding models (e.g. bge-m3) keep working. Co-authored-by: zx90316 <zx90316@users.noreply.github.com>	2026-09-01 22:36:35 +08:00
mintya	5ca30133a3	fix(lark): stop duplicating final reply text in streaming card (#2490 ) * fix(lark): stop duplicating final reply text in streaming card * fix(lark): stop duplicating final reply text in streaming card	2026-09-01 21:24:54 +08:00
Hyu	5c49cb60e3	fix(embed): preserve replies after empty assistant frames (#2492 ) Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-01 20:11:21 +08:00
Hyu	8cf0015502	fix(dingtalk): restore card auto layout (#2491 ) Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-01 17:56:02 +08:00
Hyu	bf8d418ad4	feat(monitoring): paginate sessions and messages (#2489 ) * feat(monitoring): paginate sessions and messages * fix(monitoring): align detail pages with local dates --------- Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-01 15:14:29 +08:00
Hyu	7aab0cee07	chore(release): bump version to 4.10.9 (#2488 ) Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-09-01 00:18:53 +08:00
RockChinQ	1b7ae791b3	fix(plugin): return not found after removal (#2483 ) Co-authored-by: Hyu <chenhyu@proton.me>	2026-08-31 13:40:03 +08:00
Neos	e69a80f5e9	Windows 兼容性修复 + Dify API 适配 + 企微 WS 加载优化 (#2470 ) * fix: Windows fsync requires write access to file descriptor - _fsync_file: os.O_RDONLY -> os.O_RDWR (Windows _commit() requires write access) - _fsync_directory: tolerate OSError on fsync and os.open (chmod 0o700 blocks access on Windows) * fix: Dify SSE empty data lines and upload response format mismatch - Skip malformed/flushed SSE data lines (JSONDecodeError) - Accept HTTP 200 besides 201 for file upload response - Unwrap data wrapper in upload response (resp.get('data', resp)) * feat: WeCom WS mode sends empty initial stream frame for loading spinner Send an empty reply_stream frame immediately after stream session creation so the WeCom client shows its built-in loading indicator while the pipeline processes the message (e.g. RAG retrieval). * fix(compat): harden Windows, Dify, and WeCom changes * fix(migration): clean interrupted SQLite temp files --------- Co-authored-by: Hyu <chenhyu@proton.me>	2026-08-29 22:34:10 +08:00
Hyu	bafdaf0033	fix(monitoring): restore SQLite token statistics (#2479 ) * fix(monitoring): restore SQLite token statistics Allow the monitored SQLite strftime bucket expression through the tenant SQL guard and preserve structured backend errors in the token dashboard. Add persistence and frontend regressions.\n\nVerified-by: independent-review * test(runtime): accept reconcile timeout in capacity stub Keep the PostgreSQL capacity probe aligned with the runtime handler contract and assert the bounded reconcile timeout. --------- Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-08-28 11:41:42 +08:00
RockChinQ	aeff8d7e30	fix(i18n): complete wizard locale keys	2026-08-28 01:37:45 +08:00
Dongchuan Fu	be3734ffda	feat(wizard): rework agent onboarding flow (#2471 ) * feat(wizard): rework agent onboarding flow * fix(web): support LAN development access * fix(wizard): parse ranked model selection entries * feat(wizard): add inbound bot verification * feat(wizard): add floating page bot verification * fix(wizard): repair HTTP bot inbound test setup * feat(wizard): streamline custom model onboarding * feat(wizard): label page bot test preview * style(space): apply ruff formatting * fix(wizard): polish AI engine onboarding * fix(wizard): clarify local account message test * feat(wizard): animate AI engine transitions * fix(wizard): align AI engine setup headers --------- Co-authored-by: langbot-dev <langbot@users.noreply.github.com> Co-authored-by: RockChinQ <rockchinq@gmail.com>	2026-08-28 01:30:30 +08:00
leonoxo	855ae2bdba	fix(line): map LINE mentions to At elements so the at-bot rule works (#2478 ) The LINE adapter passed text through as a single Plain component, ignoring the mention payload (mentions[].index/length/isSelf) that the Line Messaging API includes in the webhook. As a result: - At(target=bot_account_id) never appeared in the message chain, so the 'at-bot' group respond rule silently dropped every @bot mention. - The bot only replied when the message happened to match the prefix rule (e.g. starting with 'ai'). Now LINEMessageConverter reads message.message.mention and builds the chain per mention position: - Bot mention (isSelf) -> At(target=bot_account_id) so AtBotRule matches the same way as other adapters (dingtalk/lark etc.). - Other mentions -> At(target=<line user id>, display=<mention text>). At.__str__ already prepends '@', so the display text carries no double '@' and the rendered text (prefix/regexp rules, quotes, session context) is byte-identical to before. - Missing/out-of-bounds mentions are skipped defensively. target2yiri becomes an instance method (like wechatpad/aiocqhttp) so the converters can hold bot_account_id; LINEAdapter passes it in from its own config.	2026-08-27 18:38:27 +08:00
fishzjp	b66db86bff	fix(provider): stringify MCP tool results for OpenAI-compatible APIs (#2476 ) execute_func_call returns list[ContentElement] for MCP tools, but the runner assigned that list directly to the tool-message content. The OpenAI chat-completions spec requires tool-message content to be a string, so OpenAI-compatible endpoints return HTTP 500 when the raw list is sent. Serialize the list to a string before building the tool message, using ContentElement.__str__ which returns the text payload for text elements and a human-readable placeholder for images and files. Fixes #2457.	2026-08-27 18:19:04 +08:00
fishzjp	95b8736e93	fix(provider): tolerate trimmed image parts in litellm message conversion (#2475 ) SessionManager clears image_base64 on past turns to save memory, and exclude_none serialization drops the hollowed field entirely, so a replayed history part can arrive as {'type': 'image_base64'} with no payload. The converter accessed the missing key unconditionally and raised KeyError on every turn after an image was sent. Prefer the base64 payload when present, fall back to an image_url that survived on the same element, and drop hollow parts otherwise (same strategy as the existing file-part handling). Fixes #2469.	2026-08-27 18:07:43 +08:00
Yang	cabde423a1	Fix wecomcs open_kfid msgid (#2449 ) * Update wecomcs.py fix bug wecomcs send_message open_kfid event.receiver_id is open_kfid * Update wecomcs.py fix bug msgid exceeds the 32-byte limit * test(wecomcs): cover bounded message IDs and images --------- Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-08-27 17:30:49 +08:00
ciri667	08307790e5	fix(cntfilter): allow legacy sensitive-word lists over 64 patterns (#2467 ) * fix(cntfilter): allow legacy sensitive-word lists over 64 patterns Legacy sensitive-words.json files shipped ~70 rules. After v4.10.7, BanWordFilter treated the 64-pattern safe_regex cap as a hard failure and blocked every message. Raise the cap only on the sensitive-word path, keep the 50ms CPU budget, and truncate oversized lists with a one-time warning. Fixes #2443 * fix(cntfilter): reject oversized sensitive-word lists --------- Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-08-25 23:53:41 +08:00
leonoxo	777fe1f20b	fix(line): use stable source id for session identity (#2398 ) LINEEventConverter.target2yiri() built Friend.id/Group.id from event.message.id, which is unique per message. Every incoming message therefore mapped to a new session key, so LINE users and groups lost conversation context on every turn. Use event.source.user_id/group_id/room_id instead, matching the stable identifiers other adapters (e.g. Telegram) use for session identity. Falls back to the group/room id when user_id is absent, per LINE's documented behavior for some group/room members.	2026-08-25 12:30:29 +08:00
Hyu	f0ee57c1e0	style(email): use generic LangBot invitation branding (#2466 ) Co-authored-by: Junyan Qin <rockchinq@gmail.com>	2026-08-24 14:53:59 +08:00
Hyu	a45e27e76e	style(cloud): redesign workspace invitation email (#2464 ) * style(cloud): redesign workspace invitation email * fix(email): harden Outlook spacing and text contrast --------- Co-authored-by: Junyan Qin <rockchinq@gmail.com>	2026-08-24 14:14:56 +08:00
Hyu	536fcdf29f	fix(web): restore plugin page SDK loading (#2435 ) Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-08-24 12:40:50 +08:00
QuasarRyan	c87548c0b9	feat(qqofficial): add markdown reply rendering (#2459 )	2026-08-24 11:59:23 +08:00
QuasarRyan	79634772da	fix(qqofficial): send complete stream snapshots (#2458 )	2026-08-24 11:49:22 +08:00
Hyu	bb366779af	fix(auth): align invitation password fields (#2461 ) Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-08-24 10:53:05 +08:00
Hyu	1336f47cb4	fix(auth): enable local registration for OSS invitations (#2460 ) Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>	2026-08-24 10:28:45 +08:00