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>

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,5 +1,5 @@
 name: 漏洞反馈
-description: 【供中文用户】报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决，请勿提 issue。容器间网络连接问题，参考文档 https://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:

.github/ISSUE_TEMPLATE/bug-report_en.yml

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

.github/workflows/build-dev-image.yaml

@@ -7,23 +7,42 @@ on:
 jobs:
   build-dev-image:
     runs-on: ubuntu-latest
-    # 如果是tag则跳过
     if: ${{ !startsWith(github.ref, 'refs/tags/') }}
+    permissions:
+      contents: read
     steps:
       - name: Checkout
-        uses: actions/checkout@v2
+        uses: actions/checkout@v4
         with:
           persist-credentials: false
 
-      - name: Generate Tag
-        id: generate_tag
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Generate image metadata
+        id: image
+        shell: bash
         run: |
-          # 获取分支名称，把/替换为-
-          echo ${{ github.ref }} | sed 's/refs\/heads\///g' | sed 's/\//-/g'
-          echo ::set-output name=tag::$(echo ${{ github.ref }} | sed 's/refs\/heads\///g' | sed 's/\//-/g')
-      - name: Login to Registry
-        run: docker login --username=${{ secrets.DOCKER_USERNAME }} --password ${{ secrets.DOCKER_PASSWORD }}
-      - name: Build Docker Image
-        run: |
-          docker buildx create --name mybuilder --use
-          docker build -t rockchin/langbot:${{ steps.generate_tag.outputs.tag }} . --push
+          set -euo pipefail
+          branch_tag="${GITHUB_REF#refs/heads/}"
+          branch_tag="${branch_tag//\//-}"
+          echo "branch_tag=${branch_tag}" >> "$GITHUB_OUTPUT"
+          echo "sha_tag=sha-${GITHUB_SHA}" >> "$GITHUB_OUTPUT"
+
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_PASSWORD }}
+
+      - name: Build and push immutable Core image
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          push: true
+          tags: |
+            rockchin/langbot:${{ steps.image.outputs.branch_tag }}
+            rockchin/langbot:${{ steps.image.outputs.sha_tag }}
+          labels: |
+            org.opencontainers.image.revision=${{ github.sha }}
+            org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}

AGENTS.md

@@ -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.

Dockerfile

@@ -62,7 +62,7 @@ RUN apt-get update \
     && apt-get install -y --no-install-recommends nodejs \
     && rm -f /tmp/nodesource_setup.sh \
     && python -m pip install --no-cache-dir uv \
-    && uv sync \
+    && uv sync --extra seekdb \
     && apt-get purge -y --auto-remove curl git gnupg \
     && rm -rf /var/lib/apt/lists/* \
     && touch /.dockerenv

README.md

@@ -19,9 +19,9 @@ English / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
 
 <a href="https://langbot.app">Website</a> ｜
-<a href="https://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)
 
 ---
 

README_CN.md

@@ -21,9 +21,9 @@
 [![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
 
 <a href="https://langbot.app">官网</a> ｜
-<a href="https://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）
 

README_ES.md

@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
 
 <a href="https://langbot.app">Inicio</a> ｜
-<a href="https://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)
 
 ---
 

README_FR.md

@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
 
 <a href="https://langbot.app">Accueil</a> ｜
-<a href="https://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)
 
 ---
 

README_JP.md

@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
 
 <a href="https://langbot.app">ホーム</a> ｜
-<a href="https://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)
 
 ---
 

README_KO.md

@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
 
 <a href="https://langbot.app">홈</a> ｜
-<a href="https://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)
 
 ---
 

README_RU.md

@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
 
 <a href="https://langbot.app">Главная</a> ｜
-<a href="https://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)
 
 ---
 

README_TW.md

@@ -21,9 +21,9 @@
 [![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
 
 <a href="https://langbot.app">官網</a> ｜
-<a href="https://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)
 
 ---
 

README_VI.md

@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
 
 <a href="https://langbot.app">Trang chủ</a> ｜
-<a href="https://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)
 
 ---
 

docker/docker-compose.yaml

@@ -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:

docker/kubernetes.yaml

@@ -1,7 +1,7 @@
 # Kubernetes Deployment for LangBot
 # This file provides Kubernetes deployment manifests for LangBot based on docker-compose.yaml
 #
-# Full deployment guide (zh/en/ja): https://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 \

docs/HTTP_BOT_ADAPTER_DESIGN.md

@@ -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: "" }

docs/PYPI_INSTALLATION.md

@@ -10,6 +10,19 @@ uvx langbot
 
 This will automatically download and run the latest version of LangBot.
 
+SeekDB support is optional and is not installed by the command above. If you
+want to use the SeekDB vector database or the built-in SeekDB embedding model,
+run LangBot with the `seekdb` extra:
+
+```bash
+uvx --from 'langbot[seekdb]@latest' langbot
+```
+
+The extra includes native dependencies whose supported operating systems may
+be narrower than LangBot's. In particular, the current Apple Silicon wheels
+require macOS 15 or later. The default Chroma backend does not have this
+requirement.
+
 ## Install with pip/uv
 
 You can also install LangBot as a regular Python package:
@@ -20,6 +33,10 @@ pip install langbot
 
 # Using uv
 uv pip install langbot
+
+# Include optional SeekDB support
+pip install 'langbot[seekdb]'
+# or: uv pip install 'langbot[seekdb]'
 ```
 
 Then run it:
@@ -101,7 +118,7 @@ uvx langbot
 
 ## System Requirements
 
-- Python 3.10.1 or higher
+- Python 3.11 or higher (lower than Python 4)
 - Operating System: Linux, macOS, or Windows
 
 ## Differences from Source Installation

docs/SEEKDB_INTEGRATION.md

@@ -16,12 +16,20 @@ This document describes how to use OceanBase SeekDB as the vector database backe
 
 ## Installation
 
-SeekDB support is automatically included when you install LangBot. The required dependency `pyseekdb` is listed in `pyproject.toml`.
+SeekDB is an optional LangBot feature. A normal LangBot installation uses
+Chroma by default and does not install `pyseekdb` or its native bindings.
 
-If you need to install it manually:
+Choose the command that matches how you run LangBot:
 
 ```bash
-pip install pyseekdb
+# PyPI / uvx
+uvx --from 'langbot[seekdb]@latest' langbot
+
+# Installed package
+pip install 'langbot[seekdb]'
+
+# Source checkout
+uv sync --extra seekdb
 ```
 
 ## ⚠️ Platform Compatibility
@@ -30,31 +38,36 @@ pip install pyseekdb
 
 | Platform | Status | Notes |
 |----------|--------|-------|
-| Linux | ✅ Supported | Full embedded mode support via `pylibseekdb` |
-| macOS | ❌ Not Supported | `pylibseekdb` is Linux-only; use server mode instead |
-| Windows | ❌ Not Supported | `pylibseekdb` is Linux-only; use server mode instead |
+| Linux x86_64 / ARM64 | ✅ Supported | Full embedded mode support via `pylibseekdb` |
+| macOS 15+ on Apple Silicon | ✅ Supported | Requires the macOS ARM64 `pylibseekdb` wheel |
+| macOS 14 or earlier on Apple Silicon | ❌ Not currently supported | The published native wheel requires macOS 15+; follow [oceanbase/seekdb#1324](https://github.com/oceanbase/seekdb/issues/1324) |
+| macOS on Intel | ❌ Not currently supported | No embedded binding is selected by `pyseekdb` |
+| Windows | ❌ Not currently supported | No Windows `pylibseekdb` wheel is published |
 
-**Important**: Embedded mode requires the `pylibseekdb` library, which is only available on Linux. If you're on macOS or Windows, you must use server mode.
+**Important**: Embedded mode requires a compatible `pylibseekdb` wheel. Do not
+force-install or retag a wheel built for a newer macOS release: the bundled
+binaries also declare macOS 15 as their minimum deployment target.
 
 ### Server Mode (Docker)
 
 | Platform | Status | Notes |
 |----------|--------|-------|
 | Linux | ✅ Supported | Full Docker support |
-| macOS | ⚠️ Known Issue | Docker container initialization failure - [See Issue #36](https://github.com/oceanbase/seekdb/issues/36) |
-| Windows | ⚠️ Untested | Should work but not yet tested |
-
-**macOS Users**: Currently, SeekDB Docker containers have an initialization issue on macOS ([oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36)). Until this is resolved, we recommend:
-- Using ChromaDB or Qdrant as alternatives
-- Connecting to a remote SeekDB server on Linux if available
+| macOS | ✅ Supported by Docker Desktop | The previous slow-disk startup issue was fixed upstream in [oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36) |
+| Windows | ⚠️ Depends on the container runtime | Use a Linux container and follow the upstream image documentation |
 
 ### Server Mode (Remote Connection)
 
 | Platform | Status | Notes |
 |----------|--------|-------|
-| All Platforms | ✅ Supported | Connect to SeekDB running on a remote Linux server |
+| Linux | ✅ Supported | Install the `seekdb` extra and connect to the remote server |
+| macOS 15+ on Apple Silicon | ✅ Supported | Install the `seekdb` extra and connect to the remote server |
+| macOS 14 or earlier on Apple Silicon | ⚠️ Blocked by upstream packaging | `pyseekdb` currently requires the unavailable native wheel even for server-only use; follow [#1324](https://github.com/oceanbase/seekdb/issues/1324) |
+| macOS on Intel / Windows | ✅ Server mode only | Embedded bindings are not available |
 
-**Recommendation for macOS/Windows users**: Deploy SeekDB on a Linux server and connect via server mode configuration.
+Remote server mode does not use embedded storage at runtime. However, whether
+the Python client can be installed still depends on `pyseekdb`'s package
+metadata for the current platform.
 
 ## Configuration
 
@@ -170,22 +183,23 @@ Key methods:
 
 ### Import Error
 
-If you see: `ImportError: pyseekdb is not installed`
+If you see: `SeekDB support is not installed`
 
 Solution:
 ```bash
-pip install pyseekdb
+uv sync --extra seekdb
+# or: uvx --from 'langbot[seekdb]@latest' langbot
 ```
 
-### Embedded Mode Error on macOS/Windows
+### Embedded Mode Is Unavailable on the Current Platform
 
 **Error**:
 ```
 RuntimeError: Embedded Client is not available because pylibseekdb is not available.
-Please install pylibseekdb (Linux only) or use RemoteServerClient (host/port) instead.
 ```
 
-**Cause**: `pylibseekdb` is only available on Linux platforms.
+**Cause**: No compatible `pylibseekdb` wheel is installed for the current OS,
+CPU architecture, Python version, and macOS deployment target.
 
 **Solution**: Use server mode instead:
 1. Deploy SeekDB on a Linux server or VM
@@ -208,29 +222,6 @@ vdb:
   use: chroma  # or qdrant
 ```
 
-### Docker Container Fails on macOS
-
-**Symptoms**:
-```bash
-docker run -d -p 2881:2881 oceanbase/seekdb:latest
-# Container exits immediately with code 30
-```
-
-**Error in logs**:
-```
-[ERROR] Code: Agent.SeekDB.Not.Exists
-Message: initialize failed: init agent failed: SeekDB not exists in current directory.
-```
-
-**Cause**: This is a known issue with SeekDB Docker containers on macOS. See [oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36).
-
-**Status**: Under investigation by OceanBase team.
-
-**Workaround Options**:
-1. **Use alternatives**: ChromaDB or Qdrant work perfectly on macOS
-2. **Remote server**: Deploy SeekDB on a Linux server and connect remotely
-3. **Wait for fix**: Monitor the GitHub issue for updates
-
 ### Connection Error (Server Mode)
 
 If SeekDB server is not reachable, check:
@@ -252,7 +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
 

examples/http-bot/README.md

@@ -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

examples/http-bot/README.zh.md

@@ -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

examples/web-page-bot/README.md

@@ -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
 

examples/web-page-bot/README.zh.md

@@ -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
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.10.7"
+version = "4.10.10"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -70,8 +70,7 @@ dependencies = [
     "langchain-text-splitters>=1.1.2",
     "chromadb>=1.0.0,<2.0.0",
     "qdrant-client (>=1.15.1,<2.0.0)",
-    "pyseekdb==1.1.0.post3",
-    "langbot-plugin==0.5.5",
+    "langbot-plugin==0.5.7",
     "asyncpg>=0.30.0",
     "line-bot-sdk>=3.19.0",
     "matrix-nio>=0.25.2",
@@ -108,9 +107,14 @@ classifiers = [
     "Topic :: Communications :: Chat",
 ]
 
+[project.optional-dependencies]
+seekdb = [
+    "pyseekdb==1.1.0.post3",
+]
+
 [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]

skills/skills.index.json

@@ -1349,7 +1349,8 @@
             "local-agent",
             "tools",
             "e2b",
-            "nsjail"
+            "nsjail",
+            "host"
           ],
           "automation": "",
           "setup_automation": [],

skills/skills/langbot-deploy/SKILL.md

@@ -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.

skills/skills/langbot-mcp-ops/SKILL.md

@@ -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
 

skills/skills/langbot-testing/cases/sandbox-skill-authoring-e2e.yaml

@@ -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:

skills/skills/langbot-testing/references/sandbox-skill-authoring.md

@@ -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

skills/skills/langbot-testing/troubleshooting/sandbox-native-tools-unavailable.yaml

@@ -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

src/langbot/__main__.py

@@ -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
 """
 
 

src/langbot/libs/dify_service_api/v1/client.py

@@ -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)

src/langbot/libs/dingtalk_api/api.py

@@ -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,

src/langbot/libs/qq_official_api/api.py

@@ -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,

src/langbot/libs/wecom_ai_bot_api/ws_client.py

@@ -46,6 +46,14 @@ CMD_RESPOND_MSG = 'aibot_respond_msg'
 CMD_RESPOND_WELCOME = 'aibot_respond_welcome_msg'
 CMD_RESPOND_UPDATE = 'aibot_respond_update_msg'
 CMD_SEND_MSG = 'aibot_send_msg'
+# Media upload protocol (3 steps: init -> chunk * N -> finish). The
+# command names below match the WeCom AI Bot long-connection protocol.
+CMD_UPLOAD_INIT = 'aibot_upload_media_init'
+CMD_UPLOAD_CHUNK = 'aibot_upload_media_chunk'
+CMD_UPLOAD_FINISH = 'aibot_upload_media_finish'
+
+# Default upload chunk size: 512 KB before base64 encoding.
+_UPLOAD_CHUNK_SIZE = 512 * 1024
 
 _DEDUP_CACHE_MAX = 4096
 _STREAM_CACHE_MAX = 1024
@@ -495,6 +503,145 @@ class WecomBotWsClient:
         body['chatid'] = chat_id
         return await self._send_reply(req_id, body, cmd=CMD_SEND_MSG)
 
+    # ------------------------------------------------------------------
+    # Media upload (image / voice / file)
+    # ------------------------------------------------------------------
+
+    async def upload_media(
+        self,
+        data: bytes,
+        filename: str = 'attachment',
+        media_type: str = 'file',
+    ) -> Optional[dict]:
+        """Upload *data* to the WeCom AI Bot CDN and return the parsed ACK.
+
+        Implements the three-step protocol documented for the WeCom
+        AI Bot:
+
+        1. ``aibot_upload_media_init`` — declare media type, file name,
+           size, MD5 and chunk count; receive ``upload_id``.
+        2. ``aibot_upload_media_chunk`` — send each chunk (base64-encoded
+           bytes) until done; receive per-chunk ACK.
+        3. ``aibot_upload_media_finish`` — finalize the upload; receive
+           ``media_id``.
+
+        Returns a dict with the final ``media_id`` (and the raw
+        ``finish`` ACK) on success, or ``None`` on any failure. The
+        caller is expected to ignore the result and continue
+        gracefully — the framework will keep working without media
+        delivery.
+        """
+        import base64 as _b64
+        import hashlib as _hl
+
+        if not data:
+            return None
+
+        file_size = len(data)
+        file_md5 = _hl.md5(data).hexdigest()
+        total_chunks = (file_size + _UPLOAD_CHUNK_SIZE - 1) // _UPLOAD_CHUNK_SIZE
+        if total_chunks == 0:
+            total_chunks = 1
+
+        # Step 1: init.
+        init_req_id = _generate_req_id(CMD_UPLOAD_INIT)
+        init_body = {
+            'type': media_type,
+            'filename': filename,
+            'total_size': file_size,
+            'total_chunks': total_chunks,
+            'md5': file_md5,
+        }
+        init_ack = await self._send_reply(
+            init_req_id,
+            init_body,
+            cmd=CMD_UPLOAD_INIT,
+        )
+        if not init_ack or init_ack.get('errcode', 0) != 0:
+            await self.logger.warning(f'upload_media init failed: ack={init_ack!r}')
+            return None
+        upload_id = (
+            init_ack.get('upload_id')
+            or init_ack.get('body', {}).get('upload_id')
+            or init_ack.get('data', {}).get('upload_id')
+        )
+        if not upload_id:
+            await self.logger.warning(f'upload_media init returned no upload_id: ack={init_ack!r}')
+            return None
+
+        # Step 2: chunks.
+        for index in range(total_chunks):
+            start = index * _UPLOAD_CHUNK_SIZE
+            end = min(start + _UPLOAD_CHUNK_SIZE, file_size)
+            chunk_bytes = data[start:end]
+            chunk_req_id = _generate_req_id(CMD_UPLOAD_CHUNK)
+            chunk_body = {
+                'upload_id': upload_id,
+                'chunk_index': index,
+                'base64_data': _b64.b64encode(chunk_bytes).decode('ascii'),
+            }
+            chunk_ack = await self._send_reply(
+                chunk_req_id,
+                chunk_body,
+                cmd=CMD_UPLOAD_CHUNK,
+            )
+            if not chunk_ack or chunk_ack.get('errcode', 0) != 0:
+                await self.logger.warning(f'upload_media chunk {index} failed: ack={chunk_ack!r}')
+                return None
+
+        # Step 3: finish.
+        finish_req_id = _generate_req_id(CMD_UPLOAD_FINISH)
+        finish_body = {'upload_id': upload_id}
+        finish_ack = await self._send_reply(
+            finish_req_id,
+            finish_body,
+            cmd=CMD_UPLOAD_FINISH,
+        )
+        if not finish_ack or finish_ack.get('errcode', 0) != 0:
+            await self.logger.warning(f'upload_media finish failed: ack={finish_ack!r}')
+            return None
+
+        media_id = (
+            finish_ack.get('media_id')
+            or finish_ack.get('body', {}).get('media_id')
+            or finish_ack.get('data', {}).get('media_id')
+        )
+        if not media_id:
+            await self.logger.warning(f'upload_media finish returned no media_id: ack={finish_ack!r}')
+            return None
+        return {'media_id': media_id, 'ack': finish_ack}
+
+    async def _reply_media(
+        self,
+        req_id: str,
+        media_id: str,
+        kind: str,
+    ) -> Optional[dict]:
+        """Send a media reply (image / voice / file) referencing *media_id*.
+
+        ``kind`` is one of ``'image'``, ``'voice'``, ``'file'``. Uses
+        the standard ``aibot_respond_msg`` command with a per-kind
+        body key (matches the convention documented for the WeCom
+        AI Bot SDK).
+        """
+        if kind not in {'image', 'voice', 'file'}:
+            await self.logger.warning(f'_reply_media called with unknown kind={kind!r}')
+            return None
+        body = {
+            'msgtype': kind,
+            kind: {'media_id': media_id},
+        }
+        return await self._send_reply(req_id, body, cmd=CMD_RESPOND_MSG)
+
+    async def reply_image(self, req_id: str, media_id: str) -> Optional[dict]:
+        return await self._reply_media(req_id, media_id, 'image')
+
+    async def reply_file(self, req_id: str, media_id: str) -> Optional[dict]:
+        return await self._reply_media(req_id, media_id, 'file')
+
+    async def reply_voice(self, req_id: str, media_id: str) -> Optional[dict]:
+        return await self._reply_media(req_id, media_id, 'voice')
+
     async def push_stream_chunk(self, msg_id: str, content: str, is_final: bool = False) -> bool:
         """Push a streaming chunk for a given message ID.
 
@@ -789,6 +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
 

src/langbot/libs/wecom_customer_service_api/api.py

@@ -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)

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

@@ -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

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

@@ -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(

src/langbot/pkg/api/http/controller/groups/platform/bots.py

@@ -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'],

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

@@ -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'],

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

@@ -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')

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

@@ -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)
 
+        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,

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

@@ -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_query = (
-            sqlalchemy.select(persistence_monitoring.MonitoringToolCall)
-            .where(
+        tool_conditions = [
             persistence_monitoring.MonitoringToolCall.workspace_uuid == workspace_uuid,
             persistence_monitoring.MonitoringToolCall.session_id == session_id,
-            )
+        ]
+        if start_time is not None:
+            tool_conditions.append(persistence_monitoring.MonitoringToolCall.timestamp >= start_time)
+        if end_time is not None:
+            tool_conditions.append(persistence_monitoring.MonitoringToolCall.timestamp <= end_time)
+        tool_query = (
+            sqlalchemy.select(persistence_monitoring.MonitoringToolCall)
+            .where(*tool_conditions)
             .order_by(persistence_monitoring.MonitoringToolCall.timestamp.asc())
             .limit(detail_limit + 1)
         )

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

@@ -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}

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

@@ -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)

src/langbot/pkg/api/mcp/server.py

@@ -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:

src/langbot/pkg/box/service.py

@@ -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)
@@ -1210,8 +1214,9 @@ class BoxService:
     async def _read_outbox_via_exec(self, query: pipeline_query.Query) -> list[dict]:
         """Fallback: read the outbox over the exec channel (E2B / remote).
 
-        Note: exec stdout is truncated by ``output_limit_chars``, so this path
-        only reliably transfers small files. The host path is preferred.
+        Uses ``client.execute`` directly (bypassing ``_serialize_result``)
+        so stdout is NOT truncated by ``output_limit_chars`` - the raw
+        base64 payload can be far larger than the 4000-char display limit.
         """
         import json as _json
 
@@ -1265,14 +1270,22 @@ class BoxService:
             '                break\n'
             'print(json.dumps(out))\n'
         )
-        result = await self.execute_tool(
-            {'command': f"python3 - <<'LBPY'\n{script}\nLBPY", 'timeout_sec': 120},
-            query,
-        )
-        if not result.get('ok'):
+        spec_payload: dict = {
+            'cmd': f"python3 - <<'LBPY'\n{script}\nLBPY",
+            'timeout_sec': 120,
+            'session_id': self.resolve_box_session_id(query),
+        }
+        if 'extra_mounts' not in spec_payload:
+            spec_payload['extra_mounts'] = self.build_skill_extra_mounts(query)
+        try:
+            spec = self.build_spec(spec_payload)
+            result = await self.client.execute(spec)
+        except Exception:
+            return []
+        if not result.ok:
             return []
         try:
-            return _json.loads(str(result.get('stdout') or '').strip().splitlines()[-1])
+            return _json.loads(str(result.stdout or '').strip().splitlines()[-1])
         except Exception:
             return []
 
@@ -2133,5 +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

src/langbot/pkg/cloud/directory_projection.py

@@ -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)

src/langbot/pkg/core/app.py

@@ -301,11 +301,36 @@ class Application:
     async def initialize(self):
         pass
 
+    async def _initialize_plugin_runtime(self) -> None:
+        try:
+            await self.plugin_connector.initialize()
+        except asyncio.CancelledError:
+            raise
+        except Exception as exc:
+            self.logger.warning(f'Plugin runtime unavailable during startup; reconnecting in background: {exc}')
+            self.plugin_connector.schedule_reconnect()
+
+    def _start_plugin_runtime_initialization(self) -> asyncio.Task | None:
+        task = getattr(self, '_plugin_runtime_initialization_task', None)
+        if task is not None and not task.done():
+            return task
+        # This is application lifecycle work, not a request side effect. It must
+        # not wait on PersistenceManager's after-commit gate at boot.
+        task = asyncio.create_task(
+            self._initialize_plugin_runtime(),
+            name='plugin-runtime-initialization',
+        )
+        self._plugin_runtime_initialization_task = task
+        return task
+
     async def run(self):
         self.event_loop_monitor.start()
         try:
-            if self.directory_projection_service is not None:
-                self.task_mgr.create_task(
+            if (
+                self.directory_projection_service is not None
+                and getattr(self, 'directory_projection_task', None) is None
+            ):
+                self.directory_projection_task = self.task_mgr.create_task(
                     self.directory_projection_service.run(),
                     name='cloud-directory-projection',
                     scopes=[core_entities.LifecycleControlScope.APPLICATION],
@@ -322,7 +347,6 @@ class Application:
                     name='cloud-manifest-refresh',
                     scopes=[core_entities.LifecycleControlScope.APPLICATION],
                 )
-            await self.plugin_connector.initialize_plugins()
 
             # 后续可能会允许动态重启其他任务
             # 故为了防止程序在非 Ctrl-C 情况下退出，这里创建一个不会结束的协程
@@ -348,6 +372,7 @@ class Application:
                 name='http-api-controller',
                 scopes=[core_entities.LifecycleControlScope.APPLICATION],
             )
+            self._start_plugin_runtime_initialization()
 
             # Telemetry instance heartbeat (startup + daily); respects
             # space.disable_telemetry via TelemetryManager.send().
@@ -529,6 +554,11 @@ class Application:
 
             if self.task_mgr is not None:
                 self.task_mgr.cancel_by_scope(core_entities.LifecycleControlScope.APPLICATION)
+            plugin_runtime_task = getattr(self, '_plugin_runtime_initialization_task', None)
+            if plugin_runtime_task is not None and not plugin_runtime_task.done():
+                plugin_runtime_task.cancel()
+                with contextlib.suppress(asyncio.CancelledError):
+                    await plugin_runtime_task
             with contextlib.suppress(Exception):
                 await self.event_loop_monitor.stop()
             mcp_mount = getattr(self.http_ctrl, 'mcp_mount', None)
@@ -605,9 +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
 

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

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from .. import stage, app
+from .. import stage, app, entities as core_entities
 from ...utils import version, proxy, constants
 from ...pipeline import pool, controller, pipelinemgr
 from ...pipeline import aggregator as message_aggregator
@@ -292,14 +292,17 @@ class BuildAppStage(stage.BootingStage):
         async def runtime_disconnect_callback(connector: plugin_connector.PluginRuntimeConnector) -> None:
             connector.schedule_reconnect()
 
+        if ap.directory_projection_service is not None:
+            # Keep the projection fresh while shared Runtime cold restore runs.
+            # BuildApp initializes the connector before Application.run() starts
+            # its long-lived tasks, so start the single refresh task here.
+            ap.directory_projection_task = ap.task_mgr.create_task(
+                ap.directory_projection_service.run(),
+                name='cloud-directory-projection',
+                scopes=[core_entities.LifecycleControlScope.APPLICATION],
+            )
+
         plugin_connector_inst = plugin_connector.PluginRuntimeConnector(ap, runtime_disconnect_callback)
-        try:
-            await plugin_connector_inst.initialize()
-        except Exception as exc:
-            # Keep the API/UI available while an external or managed runtime is
-            # starting, then recover in the background with bounded backoff.
-            ap.logger.warning(f'Plugin runtime unavailable during startup; reconnecting in background: {exc}')
-            plugin_connector_inst.schedule_reconnect()
         ap.plugin_connector = plugin_connector_inst
         workspace_service_inst.release_startup_execution_bindings()
 

src/langbot/pkg/entity/dto/space_model.py

@@ -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

src/langbot/pkg/persistence/sqlite_migration_backup.py

@@ -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()

src/langbot/pkg/persistence/tenant_uow.py

@@ -209,7 +209,7 @@ _ALLOWED_SCOPED_BUILTIN_FUNCTION_TYPES = {
     'now': sqlalchemy.sql.functions.now,
     'sum': sqlalchemy.sql.functions.sum,
 }
-_ALLOWED_SCOPED_GENERIC_FUNCTIONS = frozenset({'date_trunc', 'length', 'nullif'})
+_ALLOWED_SCOPED_GENERIC_FUNCTIONS = frozenset({'date_trunc', 'length', 'nullif', 'strftime'})
 _ALLOWED_SCOPED_CUSTOM_OPERATORS = frozenset({'<=>'})
 _ALLOWED_SCOPED_STATEMENT_TYPES = (
     sqlalchemy.sql.dml.UpdateBase,

src/langbot/pkg/pipeline/cntfilter/filters/banwords.py

@@ -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='',
         )

src/langbot/pkg/pipeline/wrapper/wrapper.py

@@ -158,6 +158,18 @@ class ResponseWrapper(stage.PipelineStage):
                                 result_type=entities.ResultType.CONTINUE,
                                 new_query=query,
                             )
+                    elif (
+                        isinstance(result, provider_message.MessageChunk) and result.is_final and not result.tool_calls
+                    ):
+                        # Final streaming chunk with no text content but
+                        # possibly carrying sandbox outbox attachments.
+                        reply_chain = platform_message.MessageChain([])
+                        await self._append_outbound_attachments(query, reply_chain)
+                        query.resp_message_chain.append(reply_chain)
+                        yield entities.StageProcessResult(
+                            result_type=entities.ResultType.CONTINUE,
+                            new_query=query,
+                        )
 
                     if result.tool_calls is not None and len(result.tool_calls) > 0:  # 有函数调用
                         function_names = [tc.function.name for tc in result.tool_calls]

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

@@ -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:

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

@@ -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:

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

@@ -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:

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

@@ -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:

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

@@ -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:

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

@@ -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)

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

@@ -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:

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

@@ -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,

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

@@ -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:

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

@@ -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:

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

@@ -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:

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

@@ -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
 
@@ -778,17 +806,10 @@ 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,
+            await self._send_c2c_or_group_text_reply(
+                target_type,
+                target_id,
+                text,
                 event_id=event_id,
                 msg_seq=msg_seq,
             )

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

@@ -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

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

@@ -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:

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

@@ -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:

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

@@ -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:

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

@@ -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:

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

@@ -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,

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

@@ -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:

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

@@ -3,8 +3,10 @@ import typing
 import asyncio
 import time
 import traceback
+import base64
 
 import datetime
+
 import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
 import langbot_plugin.api.entities.builtin.platform.message as platform_message
 import langbot_plugin.api.entities.builtin.platform.events as platform_events
@@ -24,11 +26,24 @@ from langbot.libs.wecom_ai_bot_api.ws_client import WecomBotWsClient
 class WecomBotMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
     @staticmethod
     async def yiri2target(message_chain: platform_message.MessageChain):
-        content = ''
+        """Convert a MessageChain into a list of component dicts.
+
+        Each dict has a ``type`` key (``'text'``, ``'image'``,
+        ``'voice'``, ``'file'``). Text items carry ``text``; media
+        items carry ``base64`` (may include a ``data:...;base64,``
+        prefix) and optionally ``name``.
+        """
+        items: list[dict] = []
         for msg in message_chain:
             if type(msg) is platform_message.Plain:
-                content += msg.text
-        return content
+                items.append({'type': 'text', 'text': msg.text})
+            elif type(msg) is platform_message.Image:
+                items.append({'type': 'image', 'base64': msg.base64 or ''})
+            elif type(msg) is platform_message.Voice:
+                items.append({'type': 'voice', 'base64': msg.base64 or ''})
+            elif type(msg) is platform_message.File:
+                items.append({'type': 'file', 'base64': msg.base64 or '', 'name': msg.name or ''})
+        return items
 
     @staticmethod
     async def target2yiri(event: WecomBotEvent, bot_name: str = ''):
@@ -362,13 +377,76 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                 }
             )
 
+    @staticmethod
+    def _join_text_components(items: list[dict]) -> str:
+        """Concatenate ``text`` items in order, leaving media items alone."""
+        return ''.join(item['text'] for item in items if item.get('type') == 'text')
+
+    @staticmethod
+    def _iter_media_components(items: list[dict]):
+        """Yield non-text items in order."""
+        for item in items:
+            if item.get('type') in {'image', 'voice', 'file'}:
+                yield item
+
+    @staticmethod
+    async def _send_media(
+        bot,
+        req_id: str,
+        item: dict,
+    ) -> bool:
+        """Upload *item* to the WeCom AI Bot CDN and send it as a media reply.
+
+        Returns True on success. Falls back to a no-op (with a warning log)
+        if the SDK does not yet implement ``upload_media`` /
+        ``reply_image`` / ``reply_file`` / ``reply_voice`` — the framework
+        will keep working, just without image delivery.
+        """
+        kind = item.get('type')
+        upload = getattr(bot, 'upload_media', None)
+        if upload is None:
+            return False
+        b64_text = item.get('base64') or ''
+        if not b64_text:
+            return False
+        if b64_text.startswith('data:') and ',' in b64_text:
+            b64_text = b64_text.split(',', 1)[1]
+        try:
+            data = base64.b64decode(b64_text, validate=False)
+        except Exception:
+            return False
+        if not data:
+            return False
+        try:
+            upload_result = await upload(data, item.get('name') or f'attachment.{kind}', media_type=kind)
+        except Exception:
+            return False
+        media_id = getattr(upload_result, 'media_id', None) or (
+            isinstance(upload_result, dict) and upload_result.get('media_id')
+        )
+        if not media_id:
+            return False
+        reply_fn = {
+            'image': getattr(bot, 'reply_image', None),
+            'file': getattr(bot, 'reply_file', None),
+            'voice': getattr(bot, 'reply_voice', None),
+        }.get(kind)
+        if reply_fn is None:
+            return False
+        try:
+            await reply_fn(req_id, media_id)
+            return True
+        except Exception:
+            return False
+
     async def reply_message(
         self,
         message_source: platform_events.MessageEvent,
         message: platform_message.MessageChain,
         quote_origin: bool = False,
     ):
-        content = await self.message_converter.yiri2target(message)
+        items = await self.message_converter.yiri2target(message)
+        text = self._join_text_components(items)
         _ws_mode = not self.config.get('enable-webhook', False)
 
         event = message_source.source_platform_object
@@ -382,7 +460,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                 else:
                     chat_id = str(message_source.sender.id)
                 try:
-                    await self.bot.send_message(chat_id, content)
+                    await self.bot.send_message(chat_id, text)
                 except Exception:
                     await self.logger.error(
                         f'WeComBot: proactive reply for synthetic event failed: {traceback.format_exc()}'
@@ -396,12 +474,15 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
 
         if _ws_mode:
             req_id = event.get('req_id', '') if isinstance(event, dict) else getattr(event, 'req_id', '')
+            if text:
                 if req_id:
-                await self.bot.reply_text(req_id, content)
+                    await self.bot.reply_text(req_id, text)
                 else:
-                await self.bot.set_message(event.message_id, content)
+                    await self.bot.set_message(event.message_id, text)
+            for item in self._iter_media_components(items):
+                await self._send_media(self.bot, req_id, item)
         else:
-            await self.bot.set_message(event.message_id, content)
+            await self.bot.set_message(event.message_id, text)
 
     async def reply_message_chunk(
         self,
@@ -411,7 +492,8 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         quote_origin: bool = False,
         is_final: bool = False,
     ):
-        content = await self.message_converter.yiri2target(message)
+        items = await self.message_converter.yiri2target(message)
+        text = self._join_text_components(items)
         _ws_mode = not self.config.get('enable-webhook', False)
 
         # Synthetic events (e.g. button-click triggered form resume) have
@@ -420,7 +502,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         # of the stream/reply path.
         spo = message_source.source_platform_object
         if spo is None:
-            return await self._handle_synthetic_chunk(message_source, bot_message, content, is_final, _ws_mode)
+            return await self._handle_synthetic_chunk(message_source, bot_message, text, is_final, _ws_mode)
 
         msg_id = spo.message_id
 
@@ -452,7 +534,7 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                     form_data.get('actions', []) or [],
                 )
             except Exception:
-                fallback = content or '（人工输入）'
+                fallback = text or '（人工输入）'
             if _ws_mode:
                 event = message_source.source_platform_object
                 req_id = event.get('req_id', '') if isinstance(event, dict) else getattr(event, 'req_id', '')
@@ -463,17 +545,22 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
             return {'stream': False, 'form': True, 'fallback': True}
 
         if _ws_mode:
-            success = await self.bot.push_stream_chunk(msg_id, content, is_final=is_final)
+            success = await self.bot.push_stream_chunk(msg_id, text, is_final=is_final)
             if not success and is_final:
                 event = message_source.source_platform_object
                 req_id = event.get('req_id', '')
                 if req_id:
-                    await self.bot.reply_text(req_id, content)
+                    await self.bot.reply_text(req_id, text)
+            if is_final:
+                event = message_source.source_platform_object
+                req_id = event.get('req_id', '')
+                for item in self._iter_media_components(items):
+                    await self._send_media(self.bot, req_id, item)
             return {'stream': success}
         else:
-            success = await self.bot.push_stream_chunk(msg_id, content, is_final=is_final)
+            success = await self.bot.push_stream_chunk(msg_id, text, is_final=is_final)
             if not success and is_final:
-                await self.bot.set_message(msg_id, content)
+                await self.bot.set_message(msg_id, text)
             return {'stream': success}
 
     async def is_stream_output_supported(self) -> bool:
@@ -627,8 +714,9 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
     async def send_message(self, target_type, target_id, message):
         _ws_mode = not self.config.get('enable-webhook', False)
         if _ws_mode:
-            content = await self.message_converter.yiri2target(message)
-            await self.bot.send_message(target_id, content)
+            items = await self.message_converter.yiri2target(message)
+            text = self._join_text_components(items)
+            await self.bot.send_message(target_id, text)
         else:
             pass
 

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

@@ -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:

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

@@ -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）"""

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

@@ -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:

src/langbot/pkg/plugin/connector.py

@@ -701,7 +701,13 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
             }
             self._known_desired_states.update({state.binding.installation_uuid: state for state in desired_states})
 
-        result = await runtime_handler.reconcile_plugin_installations(tuple(self._known_desired_states.values()))
+        reconcile_timeout_seconds = max(
+            300.0, self._runtime_connect_timeout(self.ap.instance_config.data.get('plugin', {}))
+        )
+        result = await runtime_handler.reconcile_plugin_installations(
+            tuple(self._known_desired_states.values()),
+            timeout=reconcile_timeout_seconds,
+        )
         await self._repair_reconcile_missing_artifacts(self._known_desired_states, result)
         self._record_reconcile_failures(self._known_desired_states, result)
 
@@ -736,7 +742,13 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
                     if state.binding.installation_uuid in all_states:
                         raise ValueError('Duplicate plugin installation UUID across projected Workspaces')
                     all_states[state.binding.installation_uuid] = state
-            result = await runtime_handler.reconcile_plugin_installations(tuple(all_states.values()))
+            reconcile_timeout_seconds = max(
+                300.0, self._runtime_connect_timeout(self.ap.instance_config.data.get('plugin', {}))
+            )
+            result = await runtime_handler.reconcile_plugin_installations(
+                tuple(all_states.values()),
+                timeout=reconcile_timeout_seconds,
+            )
             await self._repair_reconcile_missing_artifacts(all_states, result)
             self._record_reconcile_failures(all_states, result)
             for installation_uuid, previous in tuple(self._known_desired_states.items()):
@@ -1901,9 +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()
+        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)
 

src/langbot/pkg/plugin/handler.py

@@ -11,6 +11,8 @@ import traceback
 from dataclasses import dataclass
 
 import sqlalchemy
+import sqlalchemy.dialects.postgresql
+import sqlalchemy.dialects.sqlite
 
 from langbot_plugin.runtime.io import handler
 from langbot_plugin.runtime.io.connection import Connection
@@ -431,6 +433,19 @@ class RuntimeConnectionHandler(handler.Handler):
             return f'{identity.plugin_author}/{identity.plugin_name}'
         raise ValueError(f'Unsupported binary storage owner_type {owner_type!r}')
 
+    @staticmethod
+    def _legacy_binary_storage_key(
+        action_context: ActionContext,
+        *,
+        owner_type: str,
+        owner: str,
+        key: str,
+    ) -> str:
+        """Return the pre-tenancy key shape for a row already scoped to this Workspace."""
+
+        legacy_owner = action_context.workspace_uuid if owner_type == 'workspace' else owner
+        return f'{owner_type}:{legacy_owner}:{key}'
+
     @classmethod
     def _binary_storage_key(
         cls,
@@ -896,17 +911,70 @@ class RuntimeConnectionHandler(handler.Handler):
                 .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
                 .where(persistence_bstorage.BinaryStorage.unique_key == unique_key)
             )
+            storage = result.first()
+            if storage is None:
+                legacy_key = self._legacy_binary_storage_key(
+                    action_context,
+                    owner_type=owner_type,
+                    owner=owner,
+                    key=key,
+                )
+                result = await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.select(persistence_bstorage.BinaryStorage)
+                    .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
+                    .where(persistence_bstorage.BinaryStorage.unique_key == legacy_key)
+                    .where(persistence_bstorage.BinaryStorage.key == key)
+                    .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
+                    .where(persistence_bstorage.BinaryStorage.owner == owner)
+                )
+                storage = result.first()
+                if storage is not None:
+                    update_result = await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.update(persistence_bstorage.BinaryStorage)
+                        .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
+                        .where(persistence_bstorage.BinaryStorage.unique_key == legacy_key)
+                        .where(persistence_bstorage.BinaryStorage.key == key)
+                        .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
+                        .where(persistence_bstorage.BinaryStorage.owner == owner)
+                        .values(unique_key=unique_key, value=value)
+                    )
+                    if update_result.rowcount:
+                        return handler.ActionResponse.success(data={})
+                    canonical_update = await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.update(persistence_bstorage.BinaryStorage)
+                        .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
+                        .where(persistence_bstorage.BinaryStorage.unique_key == unique_key)
+                        .where(persistence_bstorage.BinaryStorage.key == key)
+                        .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
+                        .where(persistence_bstorage.BinaryStorage.owner == owner)
+                        .values(value=value)
+                    )
+                    if canonical_update.rowcount:
+                        return handler.ActionResponse.success(data={})
+                    storage = None
 
-            if result.first() is not None:
+            if storage is not None:
                 await self.ap.persistence_mgr.execute_async(
                     sqlalchemy.update(persistence_bstorage.BinaryStorage)
                     .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
                     .where(persistence_bstorage.BinaryStorage.unique_key == unique_key)
+                    .where(persistence_bstorage.BinaryStorage.key == key)
+                    .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
+                    .where(persistence_bstorage.BinaryStorage.owner == owner)
                     .values(value=value)
                 )
-            else:
+                return handler.ActionResponse.success(data={})
+
+            dialect_name = self.ap.persistence_mgr.get_db_engine().dialect.name
+            insert = {
+                'postgresql': sqlalchemy.dialects.postgresql.insert,
+                'sqlite': sqlalchemy.dialects.sqlite.insert,
+            }.get(dialect_name)
+            if insert is None:
+                return handler.ActionResponse.error(message=f'Unsupported storage database dialect: {dialect_name}')
             await self.ap.persistence_mgr.execute_async(
-                    sqlalchemy.insert(persistence_bstorage.BinaryStorage).values(
+                insert(persistence_bstorage.BinaryStorage)
+                .values(
                     workspace_uuid=action_context.workspace_uuid,
                     unique_key=unique_key,
                     key=key,
@@ -914,6 +982,10 @@ class RuntimeConnectionHandler(handler.Handler):
                     owner=owner,
                     value=value,
                 )
+                .on_conflict_do_update(
+                    index_elements=['workspace_uuid', 'unique_key'],
+                    set_={'value': value},
+                )
             )
 
             return handler.ActionResponse.success(
@@ -946,6 +1018,29 @@ class RuntimeConnectionHandler(handler.Handler):
             )
 
             storage = result.first()
+            if storage is None:
+                legacy_key = self._legacy_binary_storage_key(
+                    action_context,
+                    owner_type=owner_type,
+                    owner=owner,
+                    key=key,
+                )
+                result = await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.select(persistence_bstorage.BinaryStorage)
+                    .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
+                    .where(persistence_bstorage.BinaryStorage.unique_key == legacy_key)
+                    .where(persistence_bstorage.BinaryStorage.key == key)
+                    .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
+                    .where(persistence_bstorage.BinaryStorage.owner == owner)
+                )
+                storage = result.first()
+                if storage is None:
+                    retry_result = await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.select(persistence_bstorage.BinaryStorage)
+                        .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
+                        .where(persistence_bstorage.BinaryStorage.unique_key == unique_key)
+                    )
+                    storage = retry_result.first()
             if storage is None:
                 return handler.ActionResponse.error(
                     message=f'Storage with key {key} not found',
@@ -981,10 +1076,19 @@ class RuntimeConnectionHandler(handler.Handler):
                     message=str(e),
                 )
 
+            legacy_key = self._legacy_binary_storage_key(
+                action_context,
+                owner_type=owner_type,
+                owner=owner,
+                key=key,
+            )
             await self.ap.persistence_mgr.execute_async(
                 sqlalchemy.delete(persistence_bstorage.BinaryStorage)
                 .where(persistence_bstorage.BinaryStorage.workspace_uuid == action_context.workspace_uuid)
-                .where(persistence_bstorage.BinaryStorage.unique_key == unique_key)
+                .where(persistence_bstorage.BinaryStorage.unique_key.in_((unique_key, legacy_key)))
+                .where(persistence_bstorage.BinaryStorage.key == key)
+                .where(persistence_bstorage.BinaryStorage.owner_type == owner_type)
+                .where(persistence_bstorage.BinaryStorage.owner == owner)
             )
 
             return handler.ActionResponse.success(
@@ -1012,7 +1116,7 @@ class RuntimeConnectionHandler(handler.Handler):
 
             return handler.ActionResponse.success(
                 data={
-                    'keys': result.scalars().all(),
+                    'keys': list(dict.fromkeys(result.scalars().all())),
                 },
             )
 
@@ -1573,13 +1677,15 @@ class RuntimeConnectionHandler(handler.Handler):
     async def reconcile_plugin_installations(
         self,
         installations: tuple[PluginInstallationDesiredState, ...],
+        *,
+        timeout: float = 300,
     ) -> dict[str, Any]:
         request = ReconcilePluginInstallationsRequest(installations=installations)
         with self.installation_scope(None):
             return await self.call_action(
                 LangBotToRuntimeAction.RECONCILE_PLUGIN_INSTALLATIONS,
                 request.model_dump(),
-                timeout=300,
+                timeout=timeout,
             )
 
     async def apply_plugin_installation(

src/langbot/pkg/provider/modelmgr/requesters/litellmchat.py

@@ -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']}
+                        # 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'
-                        del part['image_base64']
+                            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)
 

src/langbot/pkg/provider/modelmgr/requesters/ollamachat.yaml

@@ -7,7 +7,7 @@ metadata:
     zh_Hans: Ollama
   icon: ollama.svg
 spec:
-  litellm_provider: ollama
+  litellm_provider: ollama_chat
   config:
   - name: base_url
     label:

src/langbot/pkg/provider/modelmgr/requesters/seekdbembed.py

@@ -24,7 +24,10 @@ class SeekDBEmbedding(requester.ProviderAPIRequester):
         try:
             import pyseekdb
         except ImportError:
-            raise ImportError('pyseekdb is not installed. Install it with: pip install pyseekdb')
+            raise ImportError(
+                "SeekDB support is not installed. Install LangBot with the 'seekdb' extra: "
+                "uv sync --extra seekdb (source) or uvx --from 'langbot[seekdb]@latest' langbot (PyPI)."
+            )
 
         self._embedding_function = pyseekdb.get_default_embedding_function()
 

src/langbot/pkg/provider/runners/localagent.py

@@ -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)
 

src/langbot/pkg/provider/runners/n8nsvapi.py

@@ -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

src/langbot/pkg/provider/tools/loaders/native.py

@@ -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.'
             )
 

src/langbot/pkg/provider/tools/loaders/skill_authoring.py

@@ -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:

src/langbot/pkg/utils/safe_regex.py

@@ -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,
     )

src/langbot/pkg/utils/version.py

@@ -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:

src/langbot/pkg/vector/vdbs/seekdb.py

@@ -42,7 +42,10 @@ class SeekDBVectorDatabase(VectorDatabase):
 
     def __init__(self, ap: app.Application):
         if not SEEKDB_AVAILABLE:
-            raise ImportError('pyseekdb is not installed. Install it with: pip install pyseekdb')
+            raise ImportError(
+                "SeekDB support is not installed. Install LangBot with the 'seekdb' extra: "
+                "uv sync --extra seekdb (source) or uvx --from 'langbot[seekdb]@latest' langbot (PyPI)."
+            )
 
         self.ap = ap
         config = self.ap.instance_config.data['vdb']['seekdb']

src/langbot/pkg/workspace/invitation_delivery.py

@@ -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>
+<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>
-    </td></tr>
+
+                    <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>'''

src/langbot/templates/config.yaml

@@ -181,6 +181,11 @@ vdb:
         host: localhost
         port: 6333
         api_key: ''
+    # SeekDB is optional. Native/package installs need the `seekdb` extra:
+    # `uv sync --extra seekdb` (source) or
+    # `uvx --from 'langbot[seekdb]@latest' langbot` (PyPI).
+    # The official Docker image already includes it.
+    # Embedded-mode platform support depends on the native pylibseekdb wheels.
     seekdb:
         mode: embedded  # 'embedded' or 'server'
         # Embedded mode options:
@@ -326,7 +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

src/langbot/templates/default-pipeline-config.json

@@ -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",

src/langbot/templates/embed/widget.js

@@ -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 &&
+              (prevContent === content ||
                 prevContent.indexOf(content) >= 0 ||
-              content.indexOf(prevContent) >= 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";

src/langbot/templates/metadata/pipeline/ai.yaml

@@ -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

tests/integration/api/test_monitoring.py

@@ -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):

tests/integration/api/test_pipelines.py

@@ -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."""

tests/integration/api/test_smoke.py

@@ -307,6 +307,7 @@ class TestUserInitEndpoint:
         assert data['data'] == {
             'initialized': True,
             'authenticated_invitation_acceptance_enabled': False,
+            'invitation_registration_enabled': True,
             'password_login_enabled': True,
             'space_login_enabled': False,
         }
@@ -330,6 +331,28 @@ class TestUserInitEndpoint:
         assert data['data'] == {
             'initialized': True,
             'authenticated_invitation_acceptance_enabled': True,
+            'invitation_registration_enabled': False,
+            'password_login_enabled': False,
+            'space_login_enabled': True,
+        }
+
+    @pytest.mark.asyncio
+    async def test_account_info_enables_local_invitation_registration_for_oauth_only_oss(
+        self, quart_test_client, fake_api_app
+    ):
+        fake_api_app.user_service.is_initialized.return_value = True
+        fake_api_app.user_service.get_login_capabilities = AsyncMock(
+            return_value={'password_login_enabled': False, 'space_login_enabled': True}
+        )
+
+        response = await quart_test_client.get('/api/v1/user/account-info')
+
+        assert response.status_code == 200
+        data = await response.get_json()
+        assert data['data'] == {
+            'initialized': True,
+            'authenticated_invitation_acceptance_enabled': False,
+            'invitation_registration_enabled': True,
             'password_login_enabled': False,
             'space_login_enabled': True,
         }

tests/integration/api/test_user_space_oauth.py

@@ -27,7 +27,8 @@ async def space_oauth_api():
         execution=SimpleNamespace(instance_uuid='instance-a', placement_generation=1),
     )
     application = Mock()
-    application.deployment = SimpleNamespace(multi_workspace_enabled=False)
+    application.deployment = SimpleNamespace(multi_workspace_enabled=False, mode='oss')
+    application.directory_projection_service = None
     application.persistence_mgr = None
     application.user_service.get_authenticated_account = AsyncMock(return_value=account)
     application.user_service.issue_space_oauth_state = AsyncMock(
@@ -125,6 +126,26 @@ async def test_cloud_launch_state_is_server_issued_and_workspace_bound(space_oau
     )
 
 
+@pytest.mark.asyncio
+async def test_cloud_login_entry_uses_normal_stateful_oauth(space_oauth_api):
+    application, client = space_oauth_api
+    application.deployment.mode = 'cloud'
+
+    response = await client.get(
+        '/api/v1/user/space/authorize-url',
+        query_string={
+            'redirect_uri': 'http://localhost/auth/space/callback',
+            'cloud_entry': '1',
+        },
+        headers={'Origin': 'http://localhost'},
+    )
+
+    assert response.status_code == 200
+    authorize_url = (await response.get_json())['data']['authorize_url']
+    assert authorize_url.startswith('https://space.example/authorize?state=')
+    application.user_service.issue_space_oauth_state.assert_awaited_once_with('login')
+
+
 @pytest.mark.asyncio
 async def test_public_login_rejects_caller_supplied_state(space_oauth_api):
     application, client = space_oauth_api
@@ -249,10 +270,14 @@ async def test_server_side_webhook_origin_supports_bundled_ui(space_oauth_api):
 async def test_login_callback_requires_and_consumes_server_state(space_oauth_api):
     application, client = space_oauth_api
 
-    missing = await client.post('/api/v1/user/space/callback', json={'code': 'oauth-code'})
+    missing = await client.post('/api/v1/user/space/callback', json={'code': 'v4_oauth-code'})
     response = await client.post(
         '/api/v1/user/space/callback',
-        json={'code': 'oauth-code', 'state': 'opaque-login-state'},
+        json={
+            'code': 'v4_oauth-code',
+            'state': 'opaque-login-state',
+            'redirect_uri': 'https://oss.example/auth/space/callback',
+        },
     )
 
     assert (await missing.get_json())['code'] == 1
@@ -260,12 +285,146 @@ async def test_login_callback_requires_and_consumes_server_state(space_oauth_api
     assert (await response.get_json())['data']['token'] == 'space-login-token'
     application.user_service.consume_space_oauth_state_details.assert_awaited_once_with('opaque-login-state', 'login')
     application.space_service.exchange_oauth_code.assert_awaited_once_with(
-        'oauth-code',
+        'v4_oauth-code',
         [WORKSPACE_UUID],
         {WORKSPACE_UUID: int(WORKSPACE_CREATED_AT.timestamp())},
+        redirect_uri='https://oss.example/auth/space/callback',
     )
 
 
+@pytest.mark.asyncio
+async def test_login_callback_rejects_downgraded_legacy_code(space_oauth_api):
+    application, client = space_oauth_api
+
+    response = await client.post(
+        '/api/v1/user/space/callback',
+        json={'code': 'v2_legacy-code', 'state': 'opaque-login-state'},
+    )
+
+    payload = await response.get_json()
+    assert response.status_code == 200
+    assert payload['code'] == 1
+    assert 'code contract' in payload['msg']
+    application.space_service.exchange_oauth_code.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_cloud_login_callback_reconciles_authorized_workspace_before_local_authentication(space_oauth_api):
+    application, client = space_oauth_api
+    application.deployment.mode = 'cloud'
+    calls: list[str] = []
+    application.directory_projection_service = SimpleNamespace(
+        reconcile_workspaces=AsyncMock(side_effect=lambda _workspace_uuids: calls.append('reconcile'))
+    )
+    application.space_service.exchange_oauth_code.return_value = {
+        'access_token': 'space-access-token',
+        'refresh_token': 'space-refresh-token',
+        'expires_in': 3600,
+        'cloud_workspace_uuid': WORKSPACE_UUID,
+    }
+
+    authenticated_account = application.user_service.authenticate_space_user.return_value[1]
+
+    async def authenticate(*_args):
+        calls.append('authenticate')
+        return 'space-login-token', authenticated_account
+
+    application.user_service.authenticate_space_user.side_effect = authenticate
+
+    response = await client.post(
+        '/api/v1/user/space/callback',
+        json={'code': 'v4_oauth-code', 'state': 'opaque-login-state'},
+    )
+
+    assert response.status_code == 200
+    assert (await response.get_json())['data']['workspace_uuid'] == WORKSPACE_UUID
+    assert calls == ['reconcile', 'authenticate']
+    application.directory_projection_service.reconcile_workspaces.assert_awaited_once_with((WORKSPACE_UUID,))
+
+
+@pytest.mark.asyncio
+async def test_cloud_login_callback_fails_closed_without_workspace_binding(space_oauth_api):
+    application, client = space_oauth_api
+    application.deployment.mode = 'cloud'
+    application.directory_projection_service = SimpleNamespace(reconcile_workspaces=AsyncMock())
+
+    response = await client.post(
+        '/api/v1/user/space/callback',
+        json={'code': 'v4_oauth-code', 'state': 'opaque-login-state'},
+    )
+
+    payload = await response.get_json()
+    assert response.status_code == 200
+    assert payload['code'] == 1
+    assert 'Cloud Workspace binding' in payload['msg']
+    application.directory_projection_service.reconcile_workspaces.assert_not_awaited()
+    application.user_service.authenticate_space_user.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_cloud_login_callback_requires_code_binding_for_launch_state(space_oauth_api):
+    application, client = space_oauth_api
+    application.deployment.mode = 'cloud'
+    application.directory_projection_service = SimpleNamespace(reconcile_workspaces=AsyncMock())
+    application.user_service.consume_space_oauth_state_details.return_value = SimpleNamespace(
+        launch_workspace_uuid=WORKSPACE_UUID
+    )
+
+    response = await client.post(
+        '/api/v1/user/space/callback',
+        json={'code': 'v4_oauth-code', 'state': 'opaque-login-state'},
+    )
+
+    payload = await response.get_json()
+    assert response.status_code == 200
+    assert payload['code'] == 1
+    assert 'Workspace binding' in payload['msg']
+    application.directory_projection_service.reconcile_workspaces.assert_not_awaited()
+    application.user_service.authenticate_space_user.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_cloud_login_callback_rejects_conflicting_state_and_code_workspace_bindings(space_oauth_api):
+    application, client = space_oauth_api
+    application.deployment.mode = 'cloud'
+    application.directory_projection_service = SimpleNamespace(reconcile_workspaces=AsyncMock())
+    application.user_service.consume_space_oauth_state_details.return_value = SimpleNamespace(
+        launch_workspace_uuid=WORKSPACE_UUID
+    )
+    application.space_service.exchange_oauth_code.return_value = {
+        'access_token': 'space-access-token',
+        'refresh_token': 'space-refresh-token',
+        'expires_in': 3600,
+        'cloud_workspace_uuid': 'workspace-from-another-flow',
+    }
+
+    response = await client.post(
+        '/api/v1/user/space/callback',
+        json={'code': 'v4_oauth-code', 'state': 'opaque-login-state'},
+    )
+
+    payload = await response.get_json()
+    assert response.status_code == 200
+    assert payload['code'] == 1
+    assert 'Workspace binding' in payload['msg']
+    application.directory_projection_service.reconcile_workspaces.assert_not_awaited()
+    application.user_service.authenticate_space_user.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_oss_login_callback_does_not_request_cloud_reconciliation(space_oauth_api):
+    application, client = space_oauth_api
+    application.directory_projection_service = SimpleNamespace(reconcile_workspaces=AsyncMock())
+
+    response = await client.post(
+        '/api/v1/user/space/callback',
+        json={'code': 'v4_oauth-code', 'state': 'opaque-login-state'},
+    )
+
+    assert response.status_code == 200
+    application.directory_projection_service.reconcile_workspaces.assert_not_awaited()
+
+
 @pytest.mark.asyncio
 async def test_login_callback_launch_state_selects_asserted_workspace(space_oauth_api):
     application, client = space_oauth_api
@@ -276,7 +435,7 @@ async def test_login_callback_launch_state_selects_asserted_workspace(space_oaut
 
     response = await client.post(
         '/api/v1/user/space/callback',
-        json={'code': 'oauth-code', 'state': 'opaque-login-state'},
+        json={'code': 'v4_oauth-code', 'state': 'opaque-login-state'},
     )
 
     assert response.status_code == 200
@@ -312,6 +471,29 @@ async def test_space_credits_are_resolved_from_workspace_owner(space_oauth_api):
     application.space_service.get_credits.assert_awaited_once_with('owner@example.com')
 
 
+@pytest.mark.asyncio
+async def test_oss_local_only_owner_requires_space_binding_for_langbot_models(space_oauth_api):
+    application, client = space_oauth_api
+    application.user_service.get_workspace_owner = AsyncMock(
+        return_value=SimpleNamespace(user='owner@example.com', space_account_uuid=None)
+    )
+    application.space_service.get_credits = AsyncMock()
+
+    response = await client.get(
+        '/api/v1/user/space-credits',
+        headers={'Authorization': 'Bearer account-token', 'X-Workspace-Id': WORKSPACE_UUID},
+    )
+    payload = await response.get_json()
+
+    assert response.status_code == 200
+    assert payload['data'] == {
+        'credits': None,
+        'owner_space_bound': False,
+        'is_workspace_owner': True,
+    }
+    application.space_service.get_credits.assert_not_awaited()
+
+
 @pytest.mark.asyncio
 async def test_cloud_workspace_owner_is_always_space_bound_after_login(space_oauth_api):
     application, client = space_oauth_api
@@ -352,18 +534,22 @@ async def test_bind_callback_uses_opaque_state_and_never_treats_it_as_jwt(space_
 
     rejected = await client.post(
         '/api/v1/user/bind-space',
-        json={'code': 'attacker-code', 'state': 'jwt.must-not-be-used'},
+        json={'code': 'v4_attacker-code', 'state': 'jwt.must-not-be-used'},
     )
     response = await client.post(
         '/api/v1/user/bind-space',
-        json={'code': 'oauth-code', 'state': 'opaque-bind-state'},
+        json={'code': 'v4_oauth-code', 'state': 'opaque-bind-state'},
     )
 
     assert rejected.status_code == 401
     assert response.status_code == 200
     assert (await response.get_json())['data']['token'] == 'rotated-account-token'
     application.user_service.verify_jwt_token.assert_not_awaited()
-    application.user_service.bind_space_account.assert_awaited_once_with('owner@example.com', 'oauth-code')
+    application.user_service.bind_space_account.assert_awaited_once_with(
+        'owner@example.com',
+        'v4_oauth-code',
+        redirect_uri='http://localhost/auth/space/callback?mode=bind',
+    )
 
 
 @pytest.mark.asyncio
@@ -371,6 +557,7 @@ async def test_direct_launch_assertion_does_not_consume_normal_oauth_state(space
     application, client = space_oauth_api
     application.user_service.consume_space_oauth_state.reset_mock()
     application.space_service.exchange_oauth_code.reset_mock()
+    application.directory_projection_service = SimpleNamespace(reconcile_workspaces=AsyncMock())
 
     response = await client.post(
         '/api/v1/user/space/callback',
@@ -391,3 +578,29 @@ async def test_direct_launch_assertion_does_not_consume_normal_oauth_state(space
     )
     application.user_service.consume_space_oauth_state.assert_not_awaited()
     application.space_service.exchange_oauth_code.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_direct_launch_reconciles_exact_workspace_before_resolving_access(space_oauth_api):
+    application, client = space_oauth_api
+    projected_account = SimpleNamespace(
+        uuid='account-a',
+        user='owner@example.com',
+        account_type='space',
+        status='active',
+    )
+    application.user_service.get_user_by_uuid = AsyncMock(return_value=projected_account)
+    application.directory_projection_service = SimpleNamespace(reconcile_workspaces=AsyncMock())
+
+    response = await client.post(
+        '/api/v1/user/space/callback',
+        json={
+            'workspace_uuid': WORKSPACE_UUID,
+            'launch_assertion': 'signed-launch-token',
+        },
+    )
+
+    assert response.status_code == 200
+    assert (await response.get_json())['data']['workspace_uuid'] == WORKSPACE_UUID
+    application.directory_projection_service.reconcile_workspaces.assert_awaited_once_with((WORKSPACE_UUID,))
+    application.user_service.get_user_by_uuid.assert_awaited_once_with('account-a')

tests/integration/persistence/resource_migration_support.py

@@ -81,6 +81,7 @@ async def create_legacy_resource_schema(engine, *, instance_uuid: str) -> None:
         sa.Column('key', sa.String(255), nullable=False),
         sa.Column('owner_type', sa.String(255), nullable=False),
         sa.Column('owner', sa.String(255), nullable=False),
+        sa.Column('value', sa.LargeBinary, nullable=False),
     )
     mcp_servers = _uuid_table(
         metadata,
@@ -210,7 +211,13 @@ async def create_legacy_resource_schema(engine, *, instance_uuid: str) -> None:
         await conn.execute(bots.insert().values(uuid='bot-1', name='bot', updated_at=now))
         await conn.execute(bot_admins.insert().values(bot_uuid='bot-1', launcher_type='person', launcher_id='owner'))
         await conn.execute(
-            binary_storages.insert().values(unique_key='plugin:demo:key', key='key', owner_type='plugin', owner='demo')
+            binary_storages.insert().values(
+                unique_key='plugin:demo:key',
+                key='key',
+                owner_type='plugin',
+                owner='demo',
+                value=b'legacy-plugin-value',
+            )
         )
         await conn.execute(mcp_servers.insert().values(uuid='mcp-1', name='shared-name', enable=True, updated_at=now))
         await conn.execute(model_providers.insert().values(uuid='provider-1', name='provider', requester='openai'))