docs(docker): move k8s deployment docs to wiki, drop README_K8S.md

The Kubernetes deployment guide now lives only in the wiki
(docs.langbot.app -> Installation -> Kubernetes). Remove the in-repo
docker/README_K8S.md, repoint the README language variants and the
docker-compose / kubernetes.yaml header comments to the wiki, and keep
kubernetes.yaml self-describing via inline comments.

AGENTS.md

@@ -1,81 +1,134 @@
 # AGENTS.md
 
-This file is for guiding code agents (like Claude Code, GitHub Copilot, OpenAI Codex, etc.) to work in LangBot project.
+This file guides code agents (Claude Code, GitHub Copilot, OpenAI Codex, etc.) working in the LangBot project. `CLAUDE.md` is a symlink to this file.
 
 ## Project Overview
 
-LangBot is a open-source LLM native instant messaging bot development platform, aiming to provide an out-of-the-box IM robot development experience, with Agent, RAG, MCP and other LLM application functions, supporting global instant messaging platforms, and providing rich API interfaces, supporting custom development.
+LangBot is an open-source, LLM-native instant-messaging bot development platform. It aims to provide an out-of-the-box IM bot development experience with Agent, RAG, MCP and other LLM application capabilities, supporting mainstream global IM platforms and exposing rich APIs for custom development.
 
-LangBot has a comprehensive frontend, all operations can be performed through the frontend. The project splited into these major parts:
+LangBot has a comprehensive web frontend — almost every operation can be performed through it.
 
-- `./src/langbot`: The main python package of the project, below are the main modules in this package:
+- **Python**: `>=3.11,<4.0`, dependencies managed by `uv`. Package version is in `pyproject.toml`.
-    - `./pkg`: The core python package of the project backend.
+- **Frontend**: `web/` is a **Vite + React Router 7 + shadcn/ui + Tailwind CSS** SPA, managed by `pnpm`. (Note: this is NOT Next.js — the `dev` script is `vite`.)
-        - `./pkg/platform`: The platform module of the project, containing the logic of message platform adapters, bot managers, message session managers, etc.
+- **Backend framework**: Quart (the async flavour of Flask). The HTTP API and the pre-built web UI are both served by the backend on `http://127.0.0.1:5300`.
-        - `./pkg/provider`: The provider module of the project, containing the logic of LLM providers, tool providers, etc.
-        - `./pkg/pipeline`: The pipeline module of the project, containing the logic of pipelines, stages, query pool, etc.
-        - `./pkg/api`: The api module of the project, containing the http api controllers and services.
-        - `./pkg/plugin`: LangBot bridge for connecting with plugin system.
-    - `./libs`: Some SDKs we previously developed for the project, such as `qq_official_api`, `wecom_api`, etc.
-    - `./templates`: Templates of config files, components, etc.
-    - `./web`: Frontend codebase, built with Next.js + **shadcn** + **Tailwind CSS**.
-    - `./docker`: docker-compose deployment files.
 
-## Backend Development
+## Repository Layout
 
-We use `uv` to manage dependencies.
+```
+LangBot/
+├── main.py                     # Entrypoint shim -> langbot.__main__.main()
+├── pyproject.toml              # Python project + deps (uv), pins langbot-plugin==<x.y.z>
+├── src/langbot/
+│   ├── __main__.py             # Real entrypoint, CLI args (--standalone-runtime, --standalone-box, --debug)
+│   ├── pkg/                    # Core backend package
+│   │   ├── api/                # HTTP API controllers + services (Quart)
+│   │   ├── core/               # App bootstrap, stages, task manager
+│   │   ├── platform/           # IM platform adapters, bot managers, session managers
+│   │   ├── provider/           # LLM providers, requesters, tool providers
+│   │   ├── pipeline/           # Pipelines, stages, query pool
+│   │   ├── plugin/             # Bridge connecting LangBot to the plugin runtime (see below)
+│   │   ├── box/                # Code-sandbox subsystem (Docker / nsjail / E2B backends)
+│   │   ├── skill/              # Skill subsystem
+│   │   ├── rag/ , vector/      # RAG + vector store
+│   │   ├── command/            # Built-in commands
+│   │   ├── persistence/        # ORM models + Alembic migrations (SQLite & PostgreSQL)
+│   │   ├── storage/            # Object/file storage abstractions
+│   │   ├── config/, entity/, discover/, utils/, telemetry/, survey/
+│   ├── libs/                   # Vendored SDKs (qq_official_api, wecom_api, etc.)
+│   └── templates/              # Config/component templates (e.g. templates/config.yaml)
+├── web/                        # Frontend SPA (Vite + React Router 7 + shadcn + Tailwind)
+└── docker/                     # docker-compose deployment files
+```
+
+## Development Environment Setup
+
+Full guide lives in the wiki: **["开发配置" / Dev Config](https://docs.langbot.app/zh/develop/dev-config)**. Summary:
+
+### Backend
 
 ```bash
 pip install uv
-uv sync --dev
+uv sync --dev          # uv creates a .venv/ for you; point your editor's interpreter at it
+uv run main.py         # serves API + web UI on http://127.0.0.1:5300
 ```
 
-Start the backend and run the project in development mode.
+On first run the config file is generated at `data/config.yaml`. DB is SQLite by default (zero setup); PostgreSQL is supported. Migrations run automatically on startup.
 
-```bash
+### Frontend
-uv run main.py
-```
 
-Then you can access the project at `http://127.0.0.1:5300`.
+Requires Node.js + [pnpm](https://pnpm.io/installation).
-
-## Frontend Development
-
-We use `pnpm` to manage dependencies.
 
 ```bash
 cd web
-cp .env.example .env
+cp .env.example .env   # Windows: copy .env.example .env
 pnpm install
-pnpm dev
+pnpm dev               # http://127.0.0.1:3000  (npm install / npm run dev also work)
 ```
 
-Then you can access the project at `http://127.0.0.1:3000`.
+`pnpm dev` reads `VITE_API_BASE_URL` from `web/.env` so the dev frontend can reach the backend on port `5300`. In production the frontend is pre-built into static files served by the backend on the same origin.
 
-## Plugin System Architecture
+### Code formatting
 
-LangBot is composed of various internal components such as Large Language Model tools, commands, messaging platform adapters, LLM requesters, and more. To meet extensibility and flexibility requirements, we have implemented a production-grade plugin system.
+The repo runs lint + format checks in CI. Install the pre-commit hooks so the same checks run locally before each commit:
 
-Each plugin runs in an independent process, managed uniformly by the Plugin Runtime. It has two operating modes: `stdio` and `websocket`. When LangBot is started directly by users (not running in a container), it uses `stdio` mode, which is common for personal users or lightweight environments. When LangBot runs in a container, it uses `websocket` mode, designed specifically for production environments.
+```bash
+uv run pre-commit install
+```
 
-Plugin Runtime automatically starts each installed plugin and interacts through stdio. In plugin development scenarios, developers can use the lbp command-line tool to start plugins and connect to the running Runtime via WebSocket for debugging.
+## Plugin System
 
-> Plugin SDK, CLI, Runtime, and entities definitions shared between LangBot and plugins are contained in the [`langbot-plugin-sdk`](https://github.com/langbot-app/langbot-plugin-sdk) repository.
+LangBot's plugin system (Plugin SDK, CLI `lbp`, Plugin Runtime, and the shared entity/API definitions) lives in a **separate repository**: [`langbot-plugin-sdk`](https://github.com/langbot-app/langbot-plugin-sdk). LangBot depends on it via the pinned `langbot-plugin` package in `pyproject.toml`.
 
-## Some Development Tips and Standards
+### Architecture (what to know inside this repo)
 
-- LangBot is a global project, any comments in code should be in English, and user experience should be considered in all aspects.
+- Plugins run as independent processes managed by the **Plugin Runtime**. The Runtime supports two control transports: `stdio` and `websocket`.
-- Thus you should consider the i18n support in all aspects.
+- When LangBot is started directly by a user (not in a container), it spawns and connects to the Runtime over **stdio** (lightweight/personal use).
-- LangBot is widely adopted in both toC and toB scenarios, so you should consider the compatibility and security in all aspects.
+- When LangBot runs in a container, it connects to a standalone Runtime over **WebSocket** (production).
-- If you were asked to make a commit, please follow the commit message format: 
+- The bridge code lives in `src/langbot/pkg/plugin/` (`connector.py`, `handler.py`).
-    - format: <type>(<scope>): <subject>
+- Relevant config (`data/config.yaml`): `plugin.runtime_ws_url` (e.g. `ws://langbot_plugin_runtime:5400/control/ws`). Start LangBot with `--standalone-runtime` to make it connect to an externally-launched Runtime over WebSocket instead of spawning one over stdio.
-    - type: must be a specific type, such as feat (new feature), fix (bug fix), docs (documentation), style (code style), refactor (refactoring), perf (performance optimization), etc.
+
-    - scope: the scope of the commit, such as the package name, the file name, the function name, the class name, the module name, etc.
+### Debugging the Plugin Runtime / CLI / SDK
-    - subject: the subject of the commit, such as the description of the commit, the reason for the commit, the impact of the commit, etc.
+
-- LangBot uses [Alembic](https://alembic.sqlalchemy.org/) to manage database migrations, supporting both SQLite and PostgreSQL. Migration files are located in `src/langbot/pkg/persistence/alembic/versions/`. If you changed the definition of database entities (ORM models), generate a new migration script by running `uv run python -m langbot.pkg.persistence.alembic_runner autogenerate "description of your change"` in the project root (requires `data/config.yaml` to exist). Review and edit the generated script before committing. Migrations are executed automatically on LangBot startup. For data migrations (e.g. modifying JSON field content), you need to manually add the migration code in the generated script.
+This is documented in detail in the **SDK repo's `AGENTS.md`** and in the wiki page **["调试插件运行时、CLI、SDK" / Plugin Runtime](https://docs.langbot.app/zh/develop/plugin-runtime)**. The short version:
+
+- Clone `LangBot` and `langbot-plugin-sdk` as siblings under one parent dir so the editor resolves shared entities.
+- Start a standalone Runtime from the SDK repo: `uv run --no-sync lbp rt` (control port `5400`, debug port `5401`).
+- To make LangBot use a locally-modified SDK: from the SDK dir, with LangBot's `.venv` active, run `uv pip install .`, then launch LangBot with `uv run --no-sync main.py --standalone-runtime` (keep `--no-sync` so your local SDK isn't overwritten).
+
+### Debugging the Box (sandbox) runtime
+
+The Box subsystem (`src/langbot/pkg/box/`) is the code sandbox. It picks the first available backend among **Docker / nsjail / E2B**. The standalone Box runtime is launched via the SDK CLI: `lbp box`. Backend selection details, the `lbp box` flags, and the SDK-side architecture are documented in the SDK repo's `AGENTS.md`.
+
+Relevant config (`data/config.yaml`, `box:` section): `box.enabled` (master switch — disabling it also disables the native sandbox tools, skill add/edit, and stdio-mode MCP servers), `box.backend` (`'local'` = Docker/nsjail auto-pick, or `'docker'` / `'nsjail'` / `'e2b'`; also settable via `BOX__BACKEND`), and `box.runtime.endpoint` (external Box runtime base URL, e.g. `ws://127.0.0.1:5410`; empty = local auto-managed runtime). Like the plugin runtime, LangBot can connect to an externally-launched Box runtime by setting that endpoint and starting with `--standalone-box`.
+
+> A common false "No supported sandbox backend (Docker / nsjail / E2B) is available" comes from Docker being installed and running but the current user not being in the `docker` group → `docker info` gets `permission denied` on the socket. Fix: `sudo usermod -aG docker <user>` and restart the backend in a shell that has the new group.
+
+## Development Standards
+
+- LangBot is a global project: **all code comments and docstrings must be in English**, and every user-facing string must support **i18n** (`en_US` + `zh_Hans` at minimum, plus `ja_JP` where the repo already has it).
+- LangBot is adopted in both toC and toB scenarios — always consider compatibility and security.
+- **Commit message format**: `<type>(<scope>): <subject>`
+  - `type`: one of `feat`, `fix`, `docs`, `style`, `refactor`, `perf`, `test`, `chore`, etc.
+  - `scope`: the affected package/module/file/class.
+  - `subject`: concise description of the change.
+
+### Database migrations (Alembic)
+
+LangBot uses [Alembic](https://alembic.sqlalchemy.org/) for migrations, supporting both SQLite and PostgreSQL from a single set of scripts. Migration files live in `src/langbot/pkg/persistence/alembic/versions/`.
+
+If you change ORM model definitions, generate a migration:
+
+```bash
+# Run from the project root (requires data/config.yaml to exist)
+uv run python -m langbot.pkg.persistence.alembic_runner autogenerate "description of your change"
+```
+
+Review and edit the generated script before committing. Migrations execute automatically on startup. `autogenerate` detects schema changes (add/drop columns, tables, type changes) but **data migrations** (e.g. mutating JSON field contents) must be hand-written into the generated script. `env.py` sets `render_as_batch=True`, so SQLite's ALTER TABLE limits are handled automatically — no need to branch per database. More in the wiki ["开发配置"](https://docs.langbot.app/zh/develop/dev-config#数据库迁移).
 
 ## Some Principles
 
 - Keep it simple, stupid.
-- Entities should not be multiplied unnecessarily
+- Entities should not be multiplied unnecessarily.
 - 八荣八耻
 
     以瞎猜接口为耻，以认真查询为荣。

README.md

@@ -38,7 +38,7 @@ LangBot is an **open-source, production-grade platform** for building AI-powered
 
 ### Key Capabilities
 
-- **AI Conversations & Agents** — Multi-turn dialogues, tool calling, multi-modal support, streaming output. Built-in RAG (knowledge base) with deep integration to [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **AI Conversations & Agents** — Multi-turn dialogues, tool calling, multi-modal support, streaming output. Built-in RAG (knowledge base) with deep integration to [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org), [Deerflow](https://deerflow.tech), [Weknora](https://weknora.weixin.qq.com).
 - **Universal IM Platform Support** — One codebase for Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
 - **Production-Ready** — Access control, rate limiting, sensitive word filtering, comprehensive monitoring, and exception handling. Trusted by enterprises.
 - **Plugin Ecosystem** — Hundreds of plugins, event-driven architecture, component extensions, and [MCP protocol](https://modelcontextprotocol.io/) support.
@@ -78,7 +78,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 
-**More options:** [Docker](https://link.langbot.app/en/docs/docker) · [Manual](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 

README_CN.md

@@ -13,7 +13,7 @@
 [English](README.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
 
 [![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
-[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-1030838208-blue)](https://qm.qq.com/q/DxZZcNxM1W)
+[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-1030838208-blue)](https://qm.qq.com/q/IrlV8QFacU)
 [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
 [![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
 <img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
@@ -38,7 +38,7 @@ LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时
 
 ### 核心能力
 
-- **AI 对话与 Agent** — 多轮对话、工具调用、多模态、流式输出。自带 RAG（知识库），深度集成 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) 等 LLMOps 平台。
+- **AI 对话与 Agent** — 多轮对话、工具调用、多模态、流式输出。自带 RAG（知识库），深度集成 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org)、[Deerflow](https://deerflow.tech)、[Weknora](https://weknora.weixin.qq.com)等 LLMOps 平台。
 - **全平台支持** — 一套代码，覆盖 QQ、微信、企业微信、飞书、钉钉、Discord、Telegram、Slack、LINE、KOOK 等平台。
 - **生产就绪** — 访问控制、限速、敏感词过滤、全面监控与异常处理，已被多家企业采用。
 - **插件生态** — 数百个插件，跨进程的事件驱动架构，组件扩展，适配 [MCP 协议](https://modelcontextprotocol.io/)。
@@ -78,7 +78,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 
-**更多方式：** [Docker](https://link.langbot.app/zh/docs/docker) · [手动部署](https://link.langbot.app/zh/docs/manual-deploy) · [宝塔面板](https://link.langbot.app/zh/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 

README_ES.md

@@ -37,7 +37,7 @@ LangBot es una **plataforma de código abierto y grado de producción** para con
 
 ### Capacidades Clave
 
-- **Conversaciones e Agentes IA** — Diálogos de múltiples turnos, llamadas a herramientas, soporte multimodal, salida en streaming. RAG (base de conocimientos) incorporado con integración profunda con [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Conversaciones e Agentes IA** — Diálogos de múltiples turnos, llamadas a herramientas, soporte multimodal, salida en streaming. RAG (base de conocimientos) incorporado con integración profunda con [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org), [Deerflow](https://deerflow.tech)、[Weknora](https://weknora.weixin.qq.com).
 - **Soporte Universal de Plataformas de MI** — Un solo código base para Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
 - **Listo para Producción** — Control de acceso, limitación de velocidad, filtrado de palabras sensibles, monitoreo completo y manejo de excepciones. De confianza para empresas.
 - **Ecosistema de Plugins** — Cientos de plugins, arquitectura basada en eventos, extensiones de componentes y soporte del [protocolo MCP](https://modelcontextprotocol.io/).
@@ -77,7 +77,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 
-**Más opciones:** [Docker](https://link.langbot.app/en/docs/docker) · [Manual](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 

README_FR.md

@@ -37,7 +37,7 @@ LangBot est une **plateforme open-source de niveau production** pour créer des
 
 ### Capacités Clés
 
-- **Conversations IA & Agents** — Dialogues multi-tours, appels d'outils, support multimodal, sortie en streaming. RAG (base de connaissances) intégré avec intégration profonde de [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Conversations IA & Agents** — Dialogues multi-tours, appels d'outils, support multimodal, sortie en streaming. RAG (base de connaissances) intégré avec intégration profonde de [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org), [Deerflow](https://deerflow.tech), [Weknora](https://weknora.weixin.qq.com).
 - **Support Universel des Plateformes de MI** — Un seul code pour Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
 - **Prêt pour la Production** — Contrôle d'accès, limitation de débit, filtrage de mots sensibles, surveillance complète et gestion des exceptions. Approuvé par les entreprises.
 - **Écosystème de Plugins** — Des centaines de plugins, architecture événementielle, extensions de composants, et support du [protocole MCP](https://modelcontextprotocol.io/).
@@ -77,7 +77,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 
-**Plus d'options :** [Docker](https://link.langbot.app/en/docs/docker) · [Manuel](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 

README_JP.md

@@ -37,7 +37,7 @@ LangBot は、AI搭載のインスタントメッセージングボットを構
 
 ### 主な機能
 
-- **AI対話とエージェント** — マルチターン対話、ツール呼び出し、マルチモーダル対応、ストリーミング出力。RAG（ナレッジベース）を内蔵し、[Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) と深く統合。
+- **AI対話とエージェント** — マルチターン対話、ツール呼び出し、マルチモーダル対応、ストリーミング出力。RAG（ナレッジベース）を内蔵し、[Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org)、[Deerflow](https://deerflow.tech)、[Weknora](https://weknora.weixin.qq.com) と深く統合。
 - **ユニバーサルIMプラットフォーム対応** — 単一のコードベースで Discord、Telegram、Slack、LINE、QQ、WeChat、WeCom、Lark、DingTalk、KOOK に対応。
 - **本番環境対応** — アクセス制御、レート制限、センシティブワードフィルタリング、包括的な監視、例外処理を搭載。エンタープライズの信頼に応える品質。
 - **プラグインエコシステム** — 数百のプラグイン、イベント駆動アーキテクチャ、コンポーネント拡張、[MCPプロトコル](https://modelcontextprotocol.io/)対応。
@@ -77,7 +77,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 
-**その他:** [Docker](https://link.langbot.app/en/docs/docker) · [手動デプロイ](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 

README_KO.md

@@ -37,7 +37,7 @@ LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈
 
 ### 핵심 기능
 
-- **AI 대화 및 에이전트** — 멀티턴 대화, 도구 호출, 멀티모달 지원, 스트리밍 출력. 내장 RAG(지식 베이스)와 [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org) 심층 통합.
+- **AI 대화 및 에이전트** — 멀티턴 대화, 도구 호출, 멀티모달 지원, 스트리밍 출력. 내장 RAG(지식 베이스)와 [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org), [Deerflow](https://deerflow.tech), [Weknora](https://weknora.weixin.qq.com) 심층 통합.
 - **유니버설 IM 플랫폼 지원** — 단일 코드베이스로 Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK 지원.
 - **프로덕션 레디** — 접근 제어, 속도 제한, 민감어 필터링, 종합 모니터링 및 예외 처리. 기업 환경에서 검증됨.
 - **플러그인 생태계** — 수백 개의 플러그인, 이벤트 기반 아키텍처, 컴포넌트 확장, [MCP 프로토콜](https://modelcontextprotocol.io/) 지원.
@@ -77,7 +77,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 
-**더 많은 옵션:** [Docker](https://link.langbot.app/en/docs/docker) · [수동 배포](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 

README_RU.md

@@ -37,7 +37,7 @@ LangBot — это **платформа с открытым исходным к
 
 ### Ключевые возможности
 
-- **ИИ-диалоги и агенты** — Многораундовые диалоги, вызов инструментов, мультимодальная поддержка, потоковый вывод. Встроенная реализация RAG (база знаний) с глубокой интеграцией в [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **ИИ-диалоги и агенты** — Многораундовые диалоги, вызов инструментов, мультимодальная поддержка, потоковый вывод. Встроенная реализация RAG (база знаний) с глубокой интеграцией в [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org), [Deerflow](https://deerflow.tech), [Weknora](https://weknora.weixin.qq.com).
 - **Универсальная поддержка IM-платформ** — Единая кодовая база для Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
 - **Готовность к продакшену** — Контроль доступа, ограничение скорости, фильтрация чувствительных слов, комплексный мониторинг и обработка исключений. Проверено в корпоративной среде.
 - **Экосистема плагинов** — Сотни плагинов, событийно-ориентированная архитектура, расширения компонентов и поддержка [протокола MCP](https://modelcontextprotocol.io/).
@@ -77,7 +77,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 
-**Другие варианты:** [Docker](https://link.langbot.app/en/docs/docker) · [Ручная установка](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 

README_TW.md

@@ -39,7 +39,7 @@ LangBot 是一個**開源的生產級平台**，用於建構 AI 驅動的即時
 
 ### 核心能力
 
-- **AI 對話與 Agent** — 多輪對話、工具調用、多模態、流式輸出。自帶 RAG（知識庫），深度整合 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) 等 LLMOps 平台。
+- **AI 對話與 Agent** — 多輪對話、工具調用、多模態、流式輸出。自帶 RAG（知識庫），深度整合 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org)、 [Deerflow](https://deerflow.tech)、[Weknora](https://weknora.weixin.qq.com)等 LLMOps 平台。
 - **全平台支援** — 一套程式碼，覆蓋 QQ、微信、企業微信、飛書、釘釘、Discord、Telegram、Slack、LINE、KOOK 等平台。
 - **生產就緒** — 存取控制、限速、敏感詞過濾、全面監控與異常處理，已被多家企業採用。
 - **外掛生態** — 數百個外掛，事件驅動架構，組件擴展，適配 [MCP 協議](https://modelcontextprotocol.io/)。
@@ -79,7 +79,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 
-**更多方式：** [Docker](https://link.langbot.app/zh/docs/docker) · [手動部署](https://link.langbot.app/zh/docs/manual-deploy) · [寶塔面板](https://link.langbot.app/zh/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 

README_VI.md

@@ -37,7 +37,7 @@ LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để x
 
 ### Khả năng chính
 
-- **Hội thoại AI & Agent** — Đối thoại nhiều lượt, gọi công cụ, hỗ trợ đa phương thức, đầu ra streaming. RAG (cơ sở kiến thức) tích hợp sẵn với tích hợp sâu vào [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Hội thoại AI & Agent** — Đối thoại nhiều lượt, gọi công cụ, hỗ trợ đa phương thức, đầu ra streaming. RAG (cơ sở kiến thức) tích hợp sẵn với tích hợp sâu vào [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org), [Deerflow](https://deerflow.tech), [Weknora](https://weknora.weixin.qq.com).
 - **Hỗ trợ đa nền tảng IM** — Một mã nguồn cho Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
 - **Sẵn sàng cho sản xuất** — Kiểm soát truy cập, giới hạn tốc độ, lọc từ nhạy cảm, giám sát toàn diện và xử lý ngoại lệ. Được doanh nghiệp tin dùng.
 - **Hệ sinh thái Plugin** — Hàng trăm plugin, kiến trúc hướng sự kiện, mở rộng thành phần, và hỗ trợ [giao thức MCP](https://modelcontextprotocol.io/).
@@ -77,7 +77,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
 
-**Thêm tùy chọn:** [Docker](https://link.langbot.app/en/docs/docker) · [Thủ công](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
+**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)
 
 ---
 

docker/README_K8S.md

@@ -1,629 +0,0 @@
-# LangBot Kubernetes 部署指南 / Kubernetes Deployment Guide
-
-[简体中文](#简体中文) | [English](#english)
-
----
-
-## 简体中文
-
-### 概述
-
-本指南提供了在 Kubernetes 集群中部署 LangBot 的完整步骤。Kubernetes 部署配置基于 `docker-compose.yaml`，适用于生产环境的容器化部署。
-
-### 前置要求
-
-- Kubernetes 集群（版本 1.19+）
-- `kubectl` 命令行工具已配置并可访问集群
-- 集群中有可用的存储类（StorageClass）用于持久化存储（可选但推荐）
-- 至少 2 vCPU 和 4GB RAM 的可用资源
-
-### 架构说明
-
-Kubernetes 部署包含以下组件：
-
-1. **langbot**: 主应用服务
-   - 提供 Web UI（端口 5300）
-   - 处理平台 webhook（端口 2280-2290）
-   - 数据持久化卷
-   
-2. **langbot-plugin-runtime**: 插件运行时服务
-   - WebSocket 通信（端口 5400）
-   - 插件数据持久化卷
-
-3. **持久化存储**:
-   - `langbot-data`: LangBot 主数据
-   - `langbot-plugins`: 插件文件
-   - `langbot-plugin-runtime-data`: 插件运行时数据
-
-### 快速开始
-
-#### 1. 下载部署文件
-
-```bash
-# 克隆仓库
-git clone https://github.com/langbot-app/LangBot
-cd LangBot/docker
-
-# 或直接下载 kubernetes.yaml
-wget https://raw.githubusercontent.com/langbot-app/LangBot/main/docker/kubernetes.yaml
-```
-
-#### 2. 部署到 Kubernetes
-
-```bash
-# 应用所有配置
-kubectl apply -f kubernetes.yaml
-
-# 检查部署状态
-kubectl get all -n langbot
-
-# 查看 Pod 日志
-kubectl logs -n langbot -l app=langbot -f
-```
-
-#### 3. 访问 LangBot
-
-默认情况下，LangBot 服务使用 ClusterIP 类型，只能在集群内部访问。您可以选择以下方式之一来访问：
-
-**选项 A: 端口转发（推荐用于测试）**
-
-```bash
-kubectl port-forward -n langbot svc/langbot 5300:5300
-```
-
-然后访问 http://localhost:5300
-
-**选项 B: NodePort（适用于开发环境）**
-
-编辑 `kubernetes.yaml`，取消注释 NodePort Service 部分，然后：
-
-```bash
-kubectl apply -f kubernetes.yaml
-# 获取节点 IP
-kubectl get nodes -o wide
-# 访问 http://<NODE_IP>:30300
-```
-
-**选项 C: LoadBalancer（适用于云环境）**
-
-编辑 `kubernetes.yaml`，取消注释 LoadBalancer Service 部分，然后：
-
-```bash
-kubectl apply -f kubernetes.yaml
-# 获取外部 IP
-kubectl get svc -n langbot langbot-loadbalancer
-# 访问 http://<EXTERNAL_IP>
-```
-
-**选项 D: Ingress（推荐用于生产环境）**
-
-确保集群中已安装 Ingress Controller（如 nginx-ingress），然后：
-
-1. 编辑 `kubernetes.yaml` 中的 Ingress 配置
-2. 修改域名为您的实际域名
-3. 应用配置：
-
-```bash
-kubectl apply -f kubernetes.yaml
-# 访问 http://langbot.yourdomain.com
-```
-
-### 配置说明
-
-#### 环境变量
-
-在 `ConfigMap` 中配置环境变量：
-
-```yaml
-apiVersion: v1
-kind: ConfigMap
-metadata:
-  name: langbot-config
-  namespace: langbot
-data:
-  TZ: "Asia/Shanghai"  # 修改为您的时区
-```
-
-#### 存储配置
-
-默认使用动态存储分配。如果您有特定的 StorageClass，请在 PVC 中指定：
-
-```yaml
-spec:
-  storageClassName: your-storage-class-name
-  accessModes:
-    - ReadWriteOnce
-  resources:
-    requests:
-      storage: 10Gi
-```
-
-#### 资源限制
-
-根据您的需求调整资源限制：
-
-```yaml
-resources:
-  requests:
-    memory: "1Gi"
-    cpu: "500m"
-  limits:
-    memory: "4Gi"
-    cpu: "2000m"
-```
-
-### 常用操作
-
-#### 查看日志
-
-```bash
-# 查看 LangBot 主服务日志
-kubectl logs -n langbot -l app=langbot -f
-
-# 查看插件运行时日志
-kubectl logs -n langbot -l app=langbot-plugin-runtime -f
-```
-
-#### 重启服务
-
-```bash
-# 重启 LangBot
-kubectl rollout restart deployment/langbot -n langbot
-
-# 重启插件运行时
-kubectl rollout restart deployment/langbot-plugin-runtime -n langbot
-```
-
-#### 更新镜像
-
-```bash
-# 更新到最新版本
-kubectl set image deployment/langbot -n langbot langbot=rockchin/langbot:latest
-kubectl set image deployment/langbot-plugin-runtime -n langbot langbot-plugin-runtime=rockchin/langbot:latest
-
-# 检查更新状态
-kubectl rollout status deployment/langbot -n langbot
-```
-
-#### 扩容（不推荐）
-
-注意：由于 LangBot 使用 ReadWriteOnce 的持久化存储，不支持多副本扩容。如需高可用，请考虑使用 ReadWriteMany 存储或其他架构方案。
-
-#### 备份数据
-
-```bash
-# 备份 PVC 数据
-kubectl exec -n langbot -it <langbot-pod-name> -- tar czf /tmp/backup.tar.gz /app/data
-kubectl cp langbot/<langbot-pod-name>:/tmp/backup.tar.gz ./backup.tar.gz
-```
-
-### 卸载
-
-```bash
-# 删除所有资源（保留 PVC）
-kubectl delete deployment,service,configmap -n langbot --all
-
-# 删除 PVC（会删除数据）
-kubectl delete pvc -n langbot --all
-
-# 删除命名空间
-kubectl delete namespace langbot
-```
-
-### 故障排查
-
-#### Pod 无法启动
-
-```bash
-# 查看 Pod 状态
-kubectl get pods -n langbot
-
-# 查看详细信息
-kubectl describe pod -n langbot <pod-name>
-
-# 查看事件
-kubectl get events -n langbot --sort-by='.lastTimestamp'
-```
-
-#### 存储问题
-
-```bash
-# 检查 PVC 状态
-kubectl get pvc -n langbot
-
-# 检查 PV
-kubectl get pv
-```
-
-#### 网络访问问题
-
-```bash
-# 检查 Service
-kubectl get svc -n langbot
-
-# 检查端口转发
-kubectl port-forward -n langbot svc/langbot 5300:5300
-```
-
-### 生产环境建议
-
-1. **使用特定版本标签**：避免使用 `latest` 标签，使用具体版本号如 `rockchin/langbot:v1.0.0`
-2. **配置资源限制**：根据实际负载调整 CPU 和内存限制
-3. **使用 Ingress + TLS**：配置 HTTPS 访问和证书管理
-4. **配置监控和告警**：集成 Prometheus、Grafana 等监控工具
-5. **定期备份**：配置自动备份策略保护数据
-6. **使用专用 StorageClass**：为生产环境配置高性能存储
-7. **配置亲和性规则**：确保 Pod 调度到合适的节点
-
-### 高级配置
-
-#### 使用 Secrets 管理敏感信息
-
-如果需要配置 API 密钥等敏感信息：
-
-```yaml
-apiVersion: v1
-kind: Secret
-metadata:
-  name: langbot-secrets
-  namespace: langbot
-type: Opaque
-data:
-  api_key: <base64-encoded-value>
-```
-
-然后在 Deployment 中引用：
-
-```yaml
-env:
-- name: API_KEY
-  valueFrom:
-    secretKeyRef:
-      name: langbot-secrets
-      key: api_key
-```
-
-#### 配置水平自动扩缩容（HPA）
-
-注意：需要确保使用 ReadWriteMany 存储类型
-
-```yaml
-apiVersion: autoscaling/v2
-kind: HorizontalPodAutoscaler
-metadata:
-  name: langbot-hpa
-  namespace: langbot
-spec:
-  scaleTargetRef:
-    apiVersion: apps/v1
-    kind: Deployment
-    name: langbot
-  minReplicas: 1
-  maxReplicas: 3
-  metrics:
-  - type: Resource
-    resource:
-      name: cpu
-      target:
-        type: Utilization
-        averageUtilization: 70
-```
-
-### 参考资源
-
-- [LangBot 官方文档](https://docs.langbot.app)
-- [Docker 部署文档](https://link.langbot.app/zh/docs/docker)
-- [Kubernetes 官方文档](https://kubernetes.io/docs/)
-
----
-
-## English
-
-### Overview
-
-This guide provides complete steps for deploying LangBot in a Kubernetes cluster. The Kubernetes deployment configuration is based on `docker-compose.yaml` and is suitable for production containerized deployments.
-
-### Prerequisites
-
-- Kubernetes cluster (version 1.19+)
-- `kubectl` command-line tool configured with cluster access
-- Available StorageClass in the cluster for persistent storage (optional but recommended)
-- At least 2 vCPU and 4GB RAM of available resources
-
-### Architecture
-
-The Kubernetes deployment includes the following components:
-
-1. **langbot**: Main application service
-   - Provides Web UI (port 5300)
-   - Handles platform webhooks (ports 2280-2290)
-   - Data persistence volume
-   
-2. **langbot-plugin-runtime**: Plugin runtime service
-   - WebSocket communication (port 5400)
-   - Plugin data persistence volume
-
-3. **Persistent Storage**:
-   - `langbot-data`: LangBot main data
-   - `langbot-plugins`: Plugin files
-   - `langbot-plugin-runtime-data`: Plugin runtime data
-
-### Quick Start
-
-#### 1. Download Deployment Files
-
-```bash
-# Clone repository
-git clone https://github.com/langbot-app/LangBot
-cd LangBot/docker
-
-# Or download kubernetes.yaml directly
-wget https://raw.githubusercontent.com/langbot-app/LangBot/main/docker/kubernetes.yaml
-```
-
-#### 2. Deploy to Kubernetes
-
-```bash
-# Apply all configurations
-kubectl apply -f kubernetes.yaml
-
-# Check deployment status
-kubectl get all -n langbot
-
-# View Pod logs
-kubectl logs -n langbot -l app=langbot -f
-```
-
-#### 3. Access LangBot
-
-By default, LangBot service uses ClusterIP type, accessible only within the cluster. Choose one of the following methods to access:
-
-**Option A: Port Forwarding (Recommended for testing)**
-
-```bash
-kubectl port-forward -n langbot svc/langbot 5300:5300
-```
-
-Then visit http://localhost:5300
-
-**Option B: NodePort (Suitable for development)**
-
-Edit `kubernetes.yaml`, uncomment the NodePort Service section, then:
-
-```bash
-kubectl apply -f kubernetes.yaml
-# Get node IP
-kubectl get nodes -o wide
-# Visit http://<NODE_IP>:30300
-```
-
-**Option C: LoadBalancer (Suitable for cloud environments)**
-
-Edit `kubernetes.yaml`, uncomment the LoadBalancer Service section, then:
-
-```bash
-kubectl apply -f kubernetes.yaml
-# Get external IP
-kubectl get svc -n langbot langbot-loadbalancer
-# Visit http://<EXTERNAL_IP>
-```
-
-**Option D: Ingress (Recommended for production)**
-
-Ensure an Ingress Controller (e.g., nginx-ingress) is installed in the cluster, then:
-
-1. Edit the Ingress configuration in `kubernetes.yaml`
-2. Change the domain to your actual domain
-3. Apply configuration:
-
-```bash
-kubectl apply -f kubernetes.yaml
-# Visit http://langbot.yourdomain.com
-```
-
-### Configuration
-
-#### Environment Variables
-
-Configure environment variables in ConfigMap:
-
-```yaml
-apiVersion: v1
-kind: ConfigMap
-metadata:
-  name: langbot-config
-  namespace: langbot
-data:
-  TZ: "Asia/Shanghai"  # Change to your timezone
-```
-
-#### Storage Configuration
-
-Uses dynamic storage provisioning by default. If you have a specific StorageClass, specify it in PVC:
-
-```yaml
-spec:
-  storageClassName: your-storage-class-name
-  accessModes:
-    - ReadWriteOnce
-  resources:
-    requests:
-      storage: 10Gi
-```
-
-#### Resource Limits
-
-Adjust resource limits based on your needs:
-
-```yaml
-resources:
-  requests:
-    memory: "1Gi"
-    cpu: "500m"
-  limits:
-    memory: "4Gi"
-    cpu: "2000m"
-```
-
-### Common Operations
-
-#### View Logs
-
-```bash
-# View LangBot main service logs
-kubectl logs -n langbot -l app=langbot -f
-
-# View plugin runtime logs
-kubectl logs -n langbot -l app=langbot-plugin-runtime -f
-```
-
-#### Restart Services
-
-```bash
-# Restart LangBot
-kubectl rollout restart deployment/langbot -n langbot
-
-# Restart plugin runtime
-kubectl rollout restart deployment/langbot-plugin-runtime -n langbot
-```
-
-#### Update Images
-
-```bash
-# Update to latest version
-kubectl set image deployment/langbot -n langbot langbot=rockchin/langbot:latest
-kubectl set image deployment/langbot-plugin-runtime -n langbot langbot-plugin-runtime=rockchin/langbot:latest
-
-# Check update status
-kubectl rollout status deployment/langbot -n langbot
-```
-
-#### Scaling (Not Recommended)
-
-Note: Due to LangBot using ReadWriteOnce persistent storage, multi-replica scaling is not supported. For high availability, consider using ReadWriteMany storage or alternative architectures.
-
-#### Backup Data
-
-```bash
-# Backup PVC data
-kubectl exec -n langbot -it <langbot-pod-name> -- tar czf /tmp/backup.tar.gz /app/data
-kubectl cp langbot/<langbot-pod-name>:/tmp/backup.tar.gz ./backup.tar.gz
-```
-
-### Uninstall
-
-```bash
-# Delete all resources (keep PVCs)
-kubectl delete deployment,service,configmap -n langbot --all
-
-# Delete PVCs (will delete data)
-kubectl delete pvc -n langbot --all
-
-# Delete namespace
-kubectl delete namespace langbot
-```
-
-### Troubleshooting
-
-#### Pods Not Starting
-
-```bash
-# Check Pod status
-kubectl get pods -n langbot
-
-# View detailed information
-kubectl describe pod -n langbot <pod-name>
-
-# View events
-kubectl get events -n langbot --sort-by='.lastTimestamp'
-```
-
-#### Storage Issues
-
-```bash
-# Check PVC status
-kubectl get pvc -n langbot
-
-# Check PV
-kubectl get pv
-```
-
-#### Network Access Issues
-
-```bash
-# Check Service
-kubectl get svc -n langbot
-
-# Test port forwarding
-kubectl port-forward -n langbot svc/langbot 5300:5300
-```
-
-### Production Recommendations
-
-1. **Use specific version tags**: Avoid using `latest` tag, use specific version like `rockchin/langbot:v1.0.0`
-2. **Configure resource limits**: Adjust CPU and memory limits based on actual load
-3. **Use Ingress + TLS**: Configure HTTPS access and certificate management
-4. **Configure monitoring and alerts**: Integrate monitoring tools like Prometheus, Grafana
-5. **Regular backups**: Configure automated backup strategy to protect data
-6. **Use dedicated StorageClass**: Configure high-performance storage for production
-7. **Configure affinity rules**: Ensure Pods are scheduled to appropriate nodes
-
-### Advanced Configuration
-
-#### Using Secrets for Sensitive Information
-
-If you need to configure sensitive information like API keys:
-
-```yaml
-apiVersion: v1
-kind: Secret
-metadata:
-  name: langbot-secrets
-  namespace: langbot
-type: Opaque
-data:
-  api_key: <base64-encoded-value>
-```
-
-Then reference in Deployment:
-
-```yaml
-env:
-- name: API_KEY
-  valueFrom:
-    secretKeyRef:
-      name: langbot-secrets
-      key: api_key
-```
-
-#### Configure Horizontal Pod Autoscaling (HPA)
-
-Note: Requires ReadWriteMany storage type
-
-```yaml
-apiVersion: autoscaling/v2
-kind: HorizontalPodAutoscaler
-metadata:
-  name: langbot-hpa
-  namespace: langbot
-spec:
-  scaleTargetRef:
-    apiVersion: apps/v1
-    kind: Deployment
-    name: langbot
-  minReplicas: 1
-  maxReplicas: 3
-  metrics:
-  - type: Resource
-    resource:
-      name: cpu
-      target:
-        type: Utilization
-        averageUtilization: 70
-```
-
-### References
-
-- [LangBot Official Documentation](https://docs.langbot.app)
-- [Docker Deployment Guide](https://link.langbot.app/zh/docs/docker)
-- [Kubernetes Official Documentation](https://kubernetes.io/docs/)

docker/docker-compose.yaml

@@ -1,5 +1,5 @@
 # Docker Compose configuration for LangBot
-# For Kubernetes deployment, see kubernetes.yaml and README_K8S.md
+# For Kubernetes deployment, see kubernetes.yaml and the deployment guide at https://docs.langbot.app
 version: "3"
 
 services:

docker/kubernetes.yaml

@@ -1,6 +1,8 @@
 # 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
+#
 # Usage:
 #   kubectl apply -f kubernetes.yaml
 #
@@ -8,13 +10,15 @@
 #   - A Kubernetes cluster (1.19+)
 #   - kubectl configured to communicate with your cluster
 #   - (Optional) A StorageClass for dynamic volume provisioning
+#   - For the Box sandbox runtime: a node with a reachable Docker daemon
+#     (the box mounts the node's /var/run/docker.sock). See the deployment guide.
 #
 # Components:
 #   - Namespace: langbot
 #   - PersistentVolumeClaims for data persistence
-#   - Deployments for langbot and langbot_plugin_runtime
+#   - Deployments for langbot, langbot-plugin-runtime, and langbot-box (sandbox)
 #   - Services for network access
-#   - ConfigMap for timezone configuration
+#   - ConfigMap for timezone + runtime endpoints
 
 ---
 # Namespace
@@ -83,6 +87,11 @@ metadata:
 data:
   TZ: "Asia/Shanghai"
   PLUGIN__RUNTIME_WS_URL: "ws://langbot-plugin-runtime:5400/control/ws"
+  # Box sandbox runtime endpoint. LangBot connects to the Box runtime over
+  # WebSocket. The hostname MUST match the langbot-box Service name. Note the
+  # in-container default ("langbot_box") uses an underscore, which is an
+  # invalid Kubernetes DNS name — so the endpoint is always set explicitly here.
+  BOX__RUNTIME__ENDPOINT: "ws://langbot-box:5410"
 
 ---
 # Deployment for LangBot Plugin Runtime
@@ -169,6 +178,136 @@ spec:
     protocol: TCP
     name: runtime
 
+---
+# Deployment for LangBot Box (sandbox) runtime
+#
+# The Box runtime backs LangBot's sandbox tools (exec / read / write / edit /
+# glob / grep), the `activate` skill tool, skill add/edit, and stdio-mode MCP
+# servers. It is OPTIONAL: if you do not deploy it, set `BOX__ENABLED=false` on
+# the langbot Deployment (or `box.enabled: false` in config.yaml) so the
+# dashboard renders cleanly with sandbox features disabled.
+#
+# IMPORTANT — how the sandbox actually runs:
+#   The bundled image ships only the Docker CLI (no dockerd, no nsjail). The Box
+#   runtime therefore creates sandbox containers by talking to a Docker daemon
+#   over the mounted socket (`/var/run/docker.sock`). Because that daemon
+#   resolves bind-mount paths on the NODE filesystem, the Box workspace root
+#   must be the SAME absolute path inside the box container, inside every
+#   sandbox container it spawns, AND on the node. That is why this manifest uses
+#   a hostPath at a fixed absolute path (/app/data/box) and pins langbot + box
+#   to the same node via podAffinity. A normal PVC will NOT work for the box
+#   workspace, because the node's dockerd cannot see paths that exist only
+#   inside the pod's mount namespace.
+#
+# Security note: mounting the host Docker socket grants the Box runtime (and any
+# code executed in the sandbox) effective root on the node. Only deploy Box on
+# nodes you trust for this workload, ideally a dedicated node pool. For a
+# stronger isolation boundary, switch box.backend to 'e2b' (set E2B_API_KEY) and
+# drop the docker.sock mount + hostPath entirely.
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: langbot-box
+  namespace: langbot
+  labels:
+    app: langbot-box
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: langbot-box
+  template:
+    metadata:
+      labels:
+        app: langbot-box
+    spec:
+      # Pin to the same node as langbot so they share the hostPath box root.
+      affinity:
+        podAffinity:
+          requiredDuringSchedulingIgnoredDuringExecution:
+          - labelSelector:
+              matchLabels:
+                app: langbot
+            topologyKey: kubernetes.io/hostname
+      containers:
+      - name: langbot-box
+        image: rockchin/langbot:latest
+        imagePullPolicy: Always
+        # Launched through the same CLI entry point as the plugin runtime.
+        # No flag => WebSocket control transport (default), listening on 5410.
+        command: ["uv", "run", "--no-sync", "-m", "langbot_plugin.cli.__init__", "box"]
+        ports:
+        - containerPort: 5410
+          name: box-rpc
+          protocol: TCP
+        env:
+        - name: TZ
+          valueFrom:
+            configMapKeyRef:
+              name: langbot-config
+              key: TZ
+        # The Box runtime does NOT read box.local.* / BOX__* from its own env;
+        # it receives its configuration from LangBot via the INIT RPC action.
+        # Do not add BOX__* here — they would be silently ignored.
+        volumeMounts:
+        # Box workspace root — identical path on node, box, and sandbox
+        # containers (see the IMPORTANT note above).
+        - name: box-root
+          mountPath: /app/data/box
+        # Host Docker socket — the sandbox backend uses it to create containers.
+        - name: docker-sock
+          mountPath: /var/run/docker.sock
+        resources:
+          requests:
+            memory: "256Mi"
+            cpu: "100m"
+          limits:
+            memory: "1Gi"
+            cpu: "1000m"
+        livenessProbe:
+          tcpSocket:
+            port: 5410
+          initialDelaySeconds: 20
+          periodSeconds: 10
+          timeoutSeconds: 5
+          failureThreshold: 3
+        readinessProbe:
+          tcpSocket:
+            port: 5410
+          initialDelaySeconds: 10
+          periodSeconds: 5
+          timeoutSeconds: 3
+          failureThreshold: 3
+      volumes:
+      - name: box-root
+        hostPath:
+          path: /app/data/box
+          type: DirectoryOrCreate
+      - name: docker-sock
+        hostPath:
+          path: /var/run/docker.sock
+          type: Socket
+      restartPolicy: Always
+
+---
+# Service for LangBot Box runtime
+apiVersion: v1
+kind: Service
+metadata:
+  name: langbot-box
+  namespace: langbot
+  labels:
+    app: langbot-box
+spec:
+  type: ClusterIP
+  selector:
+    app: langbot-box
+  ports:
+  - port: 5410
+    targetPort: 5410
+    protocol: TCP
+    name: box-rpc
+
 ---
 # Deployment for LangBot
 apiVersion: apps/v1
@@ -213,11 +352,36 @@ spec:
             configMapKeyRef:
               name: langbot-config
               key: PLUGIN__RUNTIME_WS_URL
+        # Box (sandbox) runtime endpoint. Connects LangBot to the langbot-box
+        # Service over WebSocket. Remove this (and the langbot-box Deployment)
+        # and set BOX__ENABLED=false if you do not want the sandbox.
+        - name: BOX__RUNTIME__ENDPOINT
+          valueFrom:
+            configMapKeyRef:
+              name: langbot-config
+              key: BOX__RUNTIME__ENDPOINT
+        # box.local.* config — forwarded to the Box runtime via INIT RPC. The
+        # host_root MUST match the box-root hostPath mountPath below AND the box
+        # Deployment's box-root mountPath, so that skill package paths resolve
+        # identically on both sides and on the node's Docker daemon.
+        - name: BOX__LOCAL__HOST_ROOT
+          value: "/app/data/box"
+        - name: BOX__LOCAL__DEFAULT_WORKSPACE
+          value: "default"
+        - name: BOX__LOCAL__SKILLS_ROOT
+          value: "skills"
+        - name: BOX__LOCAL__ALLOWED_MOUNT_ROOTS
+          value: "/app/data/box"
         volumeMounts:
         - name: data
           mountPath: /app/data
         - name: plugins
           mountPath: /app/plugins
+        # Same node-level box root as the langbot-box Deployment. Mounted over
+        # the data PVC's /app/data/box subpath so both LangBot and the Box
+        # runtime (and the node's dockerd) agree on one absolute path.
+        - name: box-root
+          mountPath: /app/data/box
         resources:
           requests:
             memory: "1Gi"
@@ -250,6 +414,13 @@ spec:
       - name: plugins
         persistentVolumeClaim:
           claimName: langbot-plugins
+      # Node-level box workspace root, shared with the langbot-box Deployment.
+      # hostPath (not PVC) because the node's Docker daemon must see the same
+      # absolute path when bind-mounting workspaces into sandbox containers.
+      - name: box-root
+        hostPath:
+          path: /app/data/box
+          type: DirectoryOrCreate
       restartPolicy: Always
 
 ---

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.10.0-beta.3"
+version = "4.10.0"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -8,7 +8,7 @@ requires-python = ">=3.11,<4.0"
 dependencies = [
     "aiocqhttp>=1.4.4",
     "aiofiles>=24.1.0",
-    "aiohttp>=3.13.4",
+    "aiohttp>=3.14.0",
     "aioshutil>=1.5",
     "aiosqlite>=0.21.0",
     "anthropic>=0.51.0",
@@ -31,27 +31,27 @@ dependencies = [
     "psutil>=7.0.0",
     "pycryptodome>=3.22.0",
     "pydantic>2.0",
-    "pyjwt>=2.10.1",
+    "pyjwt>=2.12.0",
     "python-telegram-bot>=22.0",
     "pyyaml>=6.0.2",
     "qq-botpy-rc>=1.2.1.6",
     "qrcode>=7.4",
     "quart>=0.20.0",
     "quart-cors>=0.8.0",
-    "requests>=2.32.3",
+    "requests>=2.33.0",
     "slack-sdk>=3.35.0",
     "alembic>=1.15.0",
     "sqlalchemy[asyncio]>=2.0.40",
     "sqlmodel>=0.0.24",
     "telegramify-markdown>=0.5.1",
     "tiktoken>=0.9.0",
-    "urllib3>=2.4.0",
+    "urllib3>=2.7.0",
     "websockets>=15.0.1",
     "python-socks>=2.7.1", # dingtalk missing dependency
-    "pip>=25.1.1",
+    "pip>=26.1",
     "ruff>=0.11.9",
     "pre-commit>=4.2.0",
-    "uv>=0.11.6",
+    "uv>=0.11.15",
     "mypy>=1.16.0",
     "PyPDF2>=3.0.1",
     "python-docx>=1.1.0",
@@ -62,10 +62,10 @@ dependencies = [
     "ebooklib>=0.18",
     "html2text>=2024.2.26",
     "langchain>=0.2.0",
-    "langchain-core>=1.2.28",
+    "langchain-core>=1.3.3",
-    "langsmith>=0.7.31",
+    "langsmith>=0.8.0",
-    "python-multipart>=0.0.26",
+    "python-multipart>=0.0.27",
-    "Mako>=1.3.11",
+    "Mako>=1.3.12",
     "langchain-text-splitters>=1.1.2",
     "chromadb>=1.0.0,<2.0.0",
     "qdrant-client (>=1.15.1,<2.0.0)",

src/langbot/__init__.py

@@ -1,3 +1,3 @@
 """LangBot - Production-grade platform for building agentic IM bots"""
 
-__version__ = '4.10.0-beta.3'
+__version__ = '4.10.0'

src/langbot/libs/deerflow_api/__init__.py

@@ -0,0 +1,5 @@
+from .client import AsyncDeerFlowClient
+from .errors import DeerFlowAPIError
+from . import stream_utils
+
+__all__ = ['AsyncDeerFlowClient', 'DeerFlowAPIError', 'stream_utils']

src/langbot/libs/deerflow_api/client.py

@@ -0,0 +1,204 @@
+"""DeerFlow LangGraph HTTP API 客户端
+
+参考 astrbot 的 deerflow_api_client 实现，使用 httpx 适配 LangBot 风格。
+"""
+
+from __future__ import annotations
+
+import codecs
+import json
+import typing
+from collections.abc import AsyncGenerator
+
+import httpx
+
+from .errors import DeerFlowAPIError
+
+
+SSE_MAX_BUFFER_CHARS = 1_048_576
+
+
+def _normalize_sse_newlines(text: str) -> str:
+    """规范化 CRLF/CR 为 LF，确保 SSE 块分割稳定"""
+    return text.replace('\r\n', '\n').replace('\r', '\n')
+
+
+def _parse_sse_data_lines(data_lines: list[str]) -> typing.Any:
+    raw_data = '\n'.join(data_lines)
+    try:
+        return json.loads(raw_data)
+    except json.JSONDecodeError:
+        # 某些 LangGraph 兼容服务端会在单个 SSE 事件中用多个 data 行
+        # 发送多段 JSON 片段（例如 tuple payload）
+        parsed_lines: list[typing.Any] = []
+        can_parse_all = True
+        for line in data_lines:
+            line = line.strip()
+            if not line:
+                continue
+            try:
+                parsed_lines.append(json.loads(line))
+            except json.JSONDecodeError:
+                can_parse_all = False
+                break
+        if can_parse_all and parsed_lines:
+            return parsed_lines[0] if len(parsed_lines) == 1 else parsed_lines
+        return raw_data
+
+
+def _parse_sse_block(block: str) -> dict[str, typing.Any] | None:
+    if not block.strip():
+        return None
+
+    event_name = 'message'
+    data_lines: list[str] = []
+    for line in block.splitlines():
+        if line.startswith('event:'):
+            event_name = line[6:].strip()
+        elif line.startswith('data:'):
+            data_lines.append(line[5:].lstrip())
+
+    if not data_lines:
+        return None
+    return {'event': event_name, 'data': _parse_sse_data_lines(data_lines)}
+
+
+class AsyncDeerFlowClient:
+    """DeerFlow LangGraph HTTP API 客户端"""
+
+    api_base: str
+    headers: dict[str, str]
+
+    def __init__(
+        self,
+        api_base: str = 'http://127.0.0.1:2026',
+        api_key: str = '',
+        auth_header: str = '',
+    ) -> None:
+        self.api_base = api_base.rstrip('/')
+        self.headers: dict[str, str] = {}
+        if auth_header:
+            self.headers['Authorization'] = auth_header
+        elif api_key:
+            self.headers['Authorization'] = f'Bearer {api_key}'
+
+    async def create_thread(self, timeout: float = 20) -> dict[str, typing.Any]:
+        """创建一个新的 LangGraph thread
+
+        Returns:
+            包含 thread_id 等信息的字典
+        """
+        url = f'{self.api_base}/api/langgraph/threads'
+        payload = {'metadata': {}}
+
+        async with httpx.AsyncClient(
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            response = await client.post(
+                url,
+                headers=self.headers,
+                json=payload,
+            )
+            if response.status_code not in (200, 201):
+                raise DeerFlowAPIError(
+                    operation='create thread',
+                    status=response.status_code,
+                    body=response.text,
+                    url=url,
+                )
+            return response.json()
+
+    async def delete_thread(self, thread_id: str, timeout: float = 20) -> None:
+        """删除指定 thread"""
+        url = f'{self.api_base}/api/threads/{thread_id}'
+
+        async with httpx.AsyncClient(
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            response = await client.delete(url, headers=self.headers)
+            if response.status_code not in (200, 202, 204, 404):
+                raise DeerFlowAPIError(
+                    operation='delete thread',
+                    status=response.status_code,
+                    body=response.text,
+                    url=url,
+                    thread_id=thread_id,
+                )
+
+    async def stream_run(
+        self,
+        thread_id: str,
+        payload: dict[str, typing.Any],
+        timeout: float = 120,
+    ) -> AsyncGenerator[dict[str, typing.Any], None]:
+        """运行一次 LangGraph stream 请求，逐事件 yield
+
+        Yields:
+            事件字典 {'event': event_name, 'data': parsed_data}
+        """
+        url = f'{self.api_base}/api/langgraph/threads/{thread_id}/runs/stream'
+
+        # 流式请求使用单独的 read timeout 控制
+        stream_timeout = httpx.Timeout(
+            connect=min(timeout, 30),
+            read=timeout,
+            write=timeout,
+            pool=timeout,
+        )
+
+        async with httpx.AsyncClient(
+            trust_env=True,
+            timeout=stream_timeout,
+        ) as client:
+            async with client.stream(
+                'POST',
+                url,
+                headers={
+                    **self.headers,
+                    'Accept': 'text/event-stream',
+                    'Content-Type': 'application/json',
+                },
+                json=payload,
+            ) as resp:
+                if resp.status_code != 200:
+                    body = await resp.aread()
+                    raise DeerFlowAPIError(
+                        operation='runs/stream request',
+                        status=resp.status_code,
+                        body=body.decode('utf-8', errors='replace'),
+                        url=url,
+                        thread_id=thread_id,
+                    )
+
+                decoder = codecs.getincrementaldecoder('utf-8')('replace')
+                buffer = ''
+
+                async for chunk in resp.aiter_bytes(8192):
+                    buffer += _normalize_sse_newlines(decoder.decode(chunk))
+
+                    while '\n\n' in buffer:
+                        block, buffer = buffer.split('\n\n', 1)
+                        parsed = _parse_sse_block(block)
+                        if parsed is not None:
+                            yield parsed
+
+                    if len(buffer) > SSE_MAX_BUFFER_CHARS:
+                        # 缓冲区过大，强制 flush
+                        parsed = _parse_sse_block(buffer)
+                        if parsed is not None:
+                            yield parsed
+                        buffer = ''
+
+                # flush 剩余内容
+                buffer += _normalize_sse_newlines(decoder.decode(b'', final=True))
+                while '\n\n' in buffer:
+                    block, buffer = buffer.split('\n\n', 1)
+                    parsed = _parse_sse_block(block)
+                    if parsed is not None:
+                        yield parsed
+                if buffer.strip():
+                    parsed = _parse_sse_block(buffer)
+                    if parsed is not None:
+                        yield parsed

src/langbot/libs/deerflow_api/errors.py

@@ -0,0 +1,30 @@
+from __future__ import annotations
+
+
+class DeerFlowAPIError(Exception):
+    """DeerFlow API 请求失败"""
+
+    def __init__(
+        self,
+        *,
+        operation: str = '',
+        status: int = 0,
+        body: str = '',
+        url: str = '',
+        thread_id: str | None = None,
+        message: str = '',
+    ) -> None:
+        self.operation = operation
+        self.status = status
+        self.body = body
+        self.url = url
+        self.thread_id = thread_id
+
+        if message:
+            super().__init__(message)
+            return
+
+        msg = f'DeerFlow {operation} failed: status={status}, url={url}, body={body}'
+        if thread_id is not None:
+            msg = f'DeerFlow {operation} failed: thread_id={thread_id}, status={status}, url={url}, body={body}'
+        super().__init__(msg)

src/langbot/libs/deerflow_api/stream_utils.py

@@ -0,0 +1,212 @@
+"""DeerFlow LangGraph 流式响应解析工具
+
+参考 astrbot 实现的 deerflow_stream_utils。
+"""
+
+from __future__ import annotations
+
+import typing
+from collections.abc import Iterable
+
+
+def extract_text(content: typing.Any) -> str:
+    """从消息 content 中提取纯文本"""
+    if isinstance(content, str):
+        return content
+    if isinstance(content, dict):
+        if isinstance(content.get('text'), str):
+            return content['text']
+        if 'content' in content:
+            return extract_text(content.get('content'))
+        if 'kwargs' in content and isinstance(content['kwargs'], dict):
+            return extract_text(content['kwargs'].get('content'))
+    if isinstance(content, list):
+        parts: list[str] = []
+        for item in content:
+            if isinstance(item, str):
+                parts.append(item)
+            elif isinstance(item, dict):
+                item_type = item.get('type')
+                if item_type == 'text' and isinstance(item.get('text'), str):
+                    parts.append(item['text'])
+                elif 'content' in item:
+                    parts.append(extract_text(item['content']))
+        return '\n'.join([p for p in parts if p]).strip()
+    return str(content) if content is not None else ''
+
+
+def extract_messages_from_values_data(data: typing.Any) -> list[typing.Any]:
+    """从 values 事件中提取 messages 列表"""
+    candidates: list[typing.Any] = []
+    if isinstance(data, dict):
+        candidates.append(data)
+        if isinstance(data.get('values'), dict):
+            candidates.append(data['values'])
+    elif isinstance(data, list):
+        candidates.extend([x for x in data if isinstance(x, dict)])
+
+    for item in candidates:
+        messages = item.get('messages')
+        if isinstance(messages, list):
+            return messages
+    return []
+
+
+def is_ai_message(message: dict[str, typing.Any]) -> bool:
+    """判断是否为 AI/assistant 消息"""
+    role = str(message.get('role', '')).lower()
+    if role in {'assistant', 'ai'}:
+        return True
+
+    msg_type = str(message.get('type', '')).lower()
+    if msg_type in {'ai', 'assistant', 'aimessage', 'aimessagechunk'}:
+        return True
+    if 'ai' in msg_type and all(token not in msg_type for token in ('human', 'tool', 'system')):
+        return True
+    return False
+
+
+def extract_latest_ai_text(messages: Iterable[typing.Any]) -> str:
+    """获取最近一条 AI 消息的文本内容"""
+    if isinstance(messages, (list, tuple)):
+        iterable = reversed(messages)
+    else:
+        iterable = reversed(list(messages))
+
+    for msg in iterable:
+        if not isinstance(msg, dict):
+            continue
+        if is_ai_message(msg):
+            text = extract_text(msg.get('content'))
+            if text:
+                return text
+    return ''
+
+
+def extract_latest_ai_message(messages: Iterable[typing.Any]) -> dict[str, typing.Any] | None:
+    """获取最近一条 AI 消息对象"""
+    if isinstance(messages, (list, tuple)):
+        iterable = reversed(messages)
+    else:
+        iterable = reversed(list(messages))
+
+    for msg in iterable:
+        if not isinstance(msg, dict):
+            continue
+        if is_ai_message(msg):
+            return msg
+    return None
+
+
+def is_clarification_tool_message(message: dict[str, typing.Any]) -> bool:
+    """判断是否为澄清问题工具消息"""
+    msg_type = str(message.get('type', '')).lower()
+    tool_name = str(message.get('name', '')).lower()
+    return msg_type == 'tool' and tool_name == 'ask_clarification'
+
+
+def extract_latest_clarification_text(messages: Iterable[typing.Any]) -> str:
+    """提取最近的澄清问题文本"""
+    if isinstance(messages, (list, tuple)):
+        iterable = reversed(messages)
+    else:
+        iterable = reversed(list(messages))
+
+    for msg in iterable:
+        if not isinstance(msg, dict):
+            continue
+        if is_clarification_tool_message(msg):
+            text = extract_text(msg.get('content'))
+            if text:
+                return text
+    return ''
+
+
+def get_message_id(message: typing.Any) -> str:
+    """提取消息 ID"""
+    if not isinstance(message, dict):
+        return ''
+    msg_id = message.get('id')
+    return msg_id if isinstance(msg_id, str) else ''
+
+
+def extract_event_message_obj(data: typing.Any) -> dict[str, typing.Any] | None:
+    """从事件 data 中提取消息对象"""
+    msg_obj = data
+    if isinstance(data, (list, tuple)) and data:
+        msg_obj = data[0]
+    if isinstance(msg_obj, dict) and isinstance(msg_obj.get('data'), dict):
+        msg_obj = msg_obj['data']
+    return msg_obj if isinstance(msg_obj, dict) else None
+
+
+def extract_ai_delta_from_event_data(data: typing.Any) -> str:
+    """从 messages-tuple 事件中提取 AI delta 文本"""
+    msg_obj = extract_event_message_obj(data)
+    if not msg_obj:
+        return ''
+    if is_ai_message(msg_obj):
+        return extract_text(msg_obj.get('content'))
+    return ''
+
+
+def extract_clarification_from_event_data(data: typing.Any) -> str:
+    """从事件中提取澄清问题"""
+    msg_obj = extract_event_message_obj(data)
+    if not msg_obj:
+        return ''
+    if is_clarification_tool_message(msg_obj):
+        return extract_text(msg_obj.get('content'))
+    return ''
+
+
+def _iter_custom_event_items(data: typing.Any) -> list[dict[str, typing.Any]]:
+    items: list[dict[str, typing.Any]] = []
+    if isinstance(data, dict):
+        return [data]
+    if isinstance(data, list):
+        for item in data:
+            if isinstance(item, dict):
+                items.append(item)
+            elif isinstance(item, (list, tuple)):
+                for nested in item:
+                    if isinstance(nested, dict):
+                        items.append(nested)
+    return items
+
+
+def extract_task_failures_from_custom_event(data: typing.Any) -> list[str]:
+    """从 custom 事件中提取子任务失败信息"""
+    failures: list[str] = []
+    for item in _iter_custom_event_items(data):
+        event_type = str(item.get('type', '')).lower()
+        if event_type not in {'task_failed', 'task_timed_out'}:
+            continue
+
+        task_id = str(item.get('task_id', '')).strip()
+        error_text = extract_text(item.get('error')).strip()
+        if task_id and error_text:
+            failures.append(f'{task_id}: {error_text}')
+        elif error_text:
+            failures.append(error_text)
+        elif task_id:
+            failures.append(f'{task_id}: unknown error')
+        else:
+            failures.append('unknown task failure')
+    return failures
+
+
+def build_task_failure_summary(failures: list[str]) -> str:
+    """构建任务失败摘要"""
+    if not failures:
+        return ''
+    deduped: list[str] = []
+    seen: set[str] = set()
+    for failure in failures:
+        if failure not in seen:
+            seen.add(failure)
+            deduped.append(failure)
+    if len(deduped) == 1:
+        return f'DeerFlow subtask failed: {deduped[0]}'
+    joined = '\n'.join([f'- {item}' for item in deduped[:5]])
+    return f'DeerFlow subtasks failed:\n{joined}'

src/langbot/libs/weknora_api/__init__.py

@@ -0,0 +1,4 @@
+from .client import AsyncWeKnoraClient
+from .errors import WeKnoraAPIError
+
+__all__ = ['AsyncWeKnoraClient', 'WeKnoraAPIError']

src/langbot/libs/weknora_api/client.py

@@ -0,0 +1,180 @@
+from __future__ import annotations
+
+import httpx
+import typing
+import json
+
+from .errors import WeKnoraAPIError
+
+
+class AsyncWeKnoraClient:
+    """WeKnora API 客户端"""
+
+    api_key: str
+    base_url: str
+
+    def __init__(
+        self,
+        api_key: str,
+        base_url: str = 'http://localhost:80/api/v1',
+    ) -> None:
+        self.api_key = api_key
+        self.base_url = base_url
+
+    async def create_session(
+        self,
+        title: str = '',
+        description: str = '',
+        timeout: float = 30.0,
+    ) -> str:
+        """创建会话，返回 session_id"""
+        async with httpx.AsyncClient(
+            base_url=self.base_url,
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            payload: dict[str, typing.Any] = {}
+            if title:
+                payload['title'] = title
+            if description:
+                payload['description'] = description
+
+            response = await client.post(
+                '/sessions',
+                headers={
+                    'X-API-Key': self.api_key,
+                    'Content-Type': 'application/json',
+                },
+                json=payload,
+            )
+
+            if response.status_code not in (200, 201):
+                raise WeKnoraAPIError(f'{response.status_code} {response.text}')
+
+            data = response.json()
+            return data['data']['id']
+
+    async def agent_chat(
+        self,
+        session_id: str,
+        query: str,
+        user: str,
+        agent_id: str = '',
+        knowledge_base_ids: list[str] | None = None,
+        web_search_enabled: bool = False,
+        timeout: float = 120.0,
+    ) -> typing.AsyncGenerator[dict[str, typing.Any], None]:
+        """
+        Agent 智能对话（SSE 流式）
+
+        响应事件类型:
+        - agent_query: Agent 开始处理
+        - thinking: 思考过程
+        - tool_call: 工具调用
+        - tool_result: 工具结果
+        - references: 知识库引用
+        - answer: 回答内容
+        - reflection: 反思
+        - session_title: 会话标题
+        - error: 错误
+        """
+        if knowledge_base_ids is None:
+            knowledge_base_ids = []
+
+        async with httpx.AsyncClient(
+            base_url=self.base_url,
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            payload: dict[str, typing.Any] = {
+                'query': query,
+                'agent_enabled': True,
+                'channel': 'im',
+            }
+            if agent_id:
+                payload['agent_id'] = agent_id
+            if knowledge_base_ids:
+                payload['knowledge_base_ids'] = knowledge_base_ids
+            if web_search_enabled:
+                payload['web_search_enabled'] = True
+
+            async with client.stream(
+                'POST',
+                f'/agent-chat/{session_id}',
+                headers={
+                    'X-API-Key': self.api_key,
+                    'Content-Type': 'application/json',
+                },
+                json=payload,
+            ) as r:
+                async for chunk in r.aiter_lines():
+                    if r.status_code != 200:
+                        raise WeKnoraAPIError(f'{r.status_code} {chunk}')
+                    if chunk.strip() == '':
+                        continue
+                    if chunk.startswith('data:'):
+                        try:
+                            data = json.loads(chunk[5:].strip())
+                        except json.JSONDecodeError:
+                            continue
+                        yield data
+                        # 收到 error 事件后主动结束流，避免上层未 raise 时持续等待
+                        if data.get('response_type') == 'error':
+                            return
+
+    async def knowledge_chat(
+        self,
+        session_id: str,
+        query: str,
+        user: str,
+        agent_id: str = 'builtin-quick-answer',
+        knowledge_base_ids: list[str] | None = None,
+        timeout: float = 120.0,
+    ) -> typing.AsyncGenerator[dict[str, typing.Any], None]:
+        """
+        知识库 RAG 问答（SSE 流式）
+
+        响应事件类型:
+        - references: 知识库引用
+        - answer: 回答内容
+        """
+        if knowledge_base_ids is None:
+            knowledge_base_ids = []
+
+        async with httpx.AsyncClient(
+            base_url=self.base_url,
+            trust_env=True,
+            timeout=timeout,
+        ) as client:
+            payload: dict[str, typing.Any] = {
+                'query': query,
+                'channel': 'im',
+            }
+            if agent_id:
+                payload['agent_id'] = agent_id
+            if knowledge_base_ids:
+                payload['knowledge_base_ids'] = knowledge_base_ids
+
+            async with client.stream(
+                'POST',
+                f'/knowledge-chat/{session_id}',
+                headers={
+                    'X-API-Key': self.api_key,
+                    'Content-Type': 'application/json',
+                },
+                json=payload,
+            ) as r:
+                async for chunk in r.aiter_lines():
+                    if r.status_code != 200:
+                        raise WeKnoraAPIError(f'{r.status_code} {chunk}')
+                    if chunk.strip() == '':
+                        continue
+                    if chunk.startswith('data:'):
+                        try:
+                            data = json.loads(chunk[5:].strip())
+                        except json.JSONDecodeError:
+                            continue
+                        yield data
+                        # 收到 error 事件后主动结束流，避免上层未 raise 时持续等待
+                        if data.get('response_type') == 'error':
+                            return

src/langbot/libs/weknora_api/errors.py

@@ -0,0 +1,6 @@
+class WeKnoraAPIError(Exception):
+    """WeKnora API 请求失败"""
+
+    def __init__(self, message: str = ''):
+        self.message = message
+        super().__init__(self.message)

src/langbot/pkg/core/migrations/m042_weknora_api.py

@@ -0,0 +1,27 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class('weknora-api-config', 42)
+class WeKnoraAPICfgMigration(migration.Migration):
+    """WeKnora API 配置迁移"""
+
+    async def need_migrate(self) -> bool:
+        """判断当前环境是否需要运行此迁移"""
+        return 'weknora-api' not in self.ap.provider_cfg.data
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.provider_cfg.data['weknora-api'] = {
+            'base-url': 'http://localhost:8080/api/v1',
+            'app-type': 'agent',
+            'api-key': '',
+            'agent-id': 'builtin-smart-reasoning',
+            'knowledge-base-ids': [],
+            'web-search-enabled': False,
+            'timeout': 120,
+            'base-prompt': '请回答用户的问题。',
+        }
+
+        await self.ap.provider_cfg.dump_config()

src/langbot/pkg/core/migrations/m043_deerflow_api.py

@@ -0,0 +1,30 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class('deerflow-api-config', 43)
+class DeerFlowAPICfgMigration(migration.Migration):
+    """DeerFlow API 配置迁移"""
+
+    async def need_migrate(self) -> bool:
+        """判断当前环境是否需要运行此迁移"""
+        return 'deerflow-api' not in self.ap.provider_cfg.data
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.provider_cfg.data['deerflow-api'] = {
+            'api-base': 'http://127.0.0.1:2026',
+            'api-key': '',
+            'auth-header': '',
+            'assistant-id': 'lead_agent',
+            'model-name': '',
+            'thinking-enabled': False,
+            'plan-mode': False,
+            'subagent-enabled': False,
+            'max-concurrent-subagents': 3,
+            'timeout': 300,
+            'recursion-limit': 1000,
+        }
+
+        await self.ap.provider_cfg.dump_config()

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

@@ -11,6 +11,10 @@ class MCPServer(Base):
     enable = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=False)
     mode = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)  # stdio, sse, http
     extra_args = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
+    # Markdown documentation captured from LangBot Space at install time so the
+    # detail page can show docs even when the server is offline / has no tools.
+    # Empty string for manually-created servers that have no marketplace README.
+    readme = sqlalchemy.Column(sqlalchemy.Text, nullable=False, server_default='', default='')
     created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
     updated_at = sqlalchemy.Column(
         sqlalchemy.DateTime,

src/langbot/pkg/persistence/alembic/versions/0004_add_mcp_readme.py

@@ -0,0 +1,34 @@
+"""add readme column to mcp_servers
+
+Revision ID: 0004_add_mcp_readme
+Revises: 0003_add_rerank_models
+Create Date: 2026-06-06
+"""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = '0004_add_mcp_readme'
+down_revision = '0003_add_rerank_models'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # Add ``readme`` to mcp_servers if the table exists and the column is missing
+    # (the table may have been created by create_all() with the column already
+    # present on fresh installs, so guard against duplicate-add).
+    conn = op.get_bind()
+    inspector = sa.inspect(conn)
+    if 'mcp_servers' not in inspector.get_table_names():
+        return
+    columns = {col['name'] for col in inspector.get_columns('mcp_servers')}
+    if 'readme' not in columns:
+        op.add_column(
+            'mcp_servers',
+            sa.Column('readme', sa.Text(), nullable=False, server_default=''),
+        )
+
+
+def downgrade() -> None:
+    op.drop_column('mcp_servers', 'readme')

src/langbot/pkg/plugin/connector.py

@@ -248,6 +248,9 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
 
         mode = mcp_data.get('mode') or 'stdio'
         extra_args = mcp_data.get('extra_args') or {}
+        # Marketplace records carry the rendered README markdown; persist it so
+        # the detail page Docs tab works offline and without a marketplace round-trip.
+        readme = mcp_data.get('readme') or ''
         # Use __ instead of / to avoid URL routing issues with slashes
         name = f'{mcp_data.get("author", "")}__{mcp_data.get("name", "")}'
 
@@ -267,6 +270,7 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
             'enable': True,
             'mode': mode,
             'extra_args': extra_args,
+            'readme': readme,
         }
 
         await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_mcp.MCPServer).values(server_data))
@@ -459,7 +463,7 @@ class PluginRuntimeConnector(ManagedRuntimeConnector):
                                         )
 
                                     file_bytes = download_resp.content
-                                    self._extract_deps_metadata(file_bytes, task_context)
+                                    self._inspect_plugin_package(file_bytes, task_context)
                                     file_key = await self.handler.send_file(file_bytes, 'lbpkg')
                                     install_info['plugin_file_key'] = file_key
                                     self.ap.logger.info(f'Transfered file {file_key} to plugin runtime')

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

@@ -143,49 +143,83 @@ class ModelManager:
         # get the latest models from space
         space_models = await self.ap.space_service.get_models()
 
-        exists_llm_models_uuids = [m['uuid'] for m in await self.ap.llm_model_service.get_llm_models()]
+        # Index existing models by uuid. Space reuses a model's uuid across
-        exists_embedding_models_uuids = [
+        # renames / re-specs (e.g. the uuid that used to be ``claude-opus-4-6``
-            m['uuid'] for m in await self.ap.embedding_models_service.get_embedding_models()
+        # may later become ``claude-opus-4-7``). So for Space-managed models we
-        ]
+        # upsert: create when the uuid is new, otherwise update name/abilities/
+        # ranking to track Space. Models owned by other providers are never
+        # touched, even on an (unexpected) uuid collision.
+        existing_llm_models = {m['uuid']: m for m in await self.ap.llm_model_service.get_llm_models()}
+        existing_embedding_models = {
+            m['uuid']: m for m in await self.ap.embedding_models_service.get_embedding_models()
+        }
+
+        created = 0
+        updated = 0
 
         for space_model in space_models:
             if space_model.category == 'chat':
-                uuid = space_model.uuid
+                existing = existing_llm_models.get(space_model.uuid)
-
+                if existing is None:
-                if uuid in exists_llm_models_uuids:
+                    # model will be automatically loaded
-                    continue
+                    await self.ap.llm_model_service.create_llm_model(
-
+                        {
-                # model will be automatically loaded
+                            'uuid': space_model.uuid,
-                await self.ap.llm_model_service.create_llm_model(
+                            'name': space_model.model_id,
-                    {
+                            'provider_uuid': space_model_provider.uuid,
-                        'uuid': space_model.uuid,
+                            'abilities': space_model.llm_abilities or [],
+                            'extra_args': {},
+                            'prefered_ranking': space_model.featured_order,
+                        },
+                        preserve_uuid=True,
+                        auto_set_to_default_pipeline=False,
+                    )
+                    created += 1
+                elif existing.get('provider_uuid') == space_model_provider.uuid:
+                    desired = {
                         'name': space_model.model_id,
                         'provider_uuid': space_model_provider.uuid,
                         'abilities': space_model.llm_abilities or [],
-                        'extra_args': {},
                         'prefered_ranking': space_model.featured_order,
-                    },
+                    }
-                    preserve_uuid=True,
+                    if (
-                    auto_set_to_default_pipeline=False,
+                        existing.get('name') != desired['name']
-                )
+                        or list(existing.get('abilities') or []) != list(desired['abilities'])
+                        or existing.get('prefered_ranking') != desired['prefered_ranking']
+                    ):
+                        await self.ap.llm_model_service.update_llm_model(space_model.uuid, dict(desired))
+                        updated += 1
 
             elif space_model.category == 'embedding':
-                uuid = space_model.uuid
+                existing = existing_embedding_models.get(space_model.uuid)
-
+                if existing is None:
-                if uuid in exists_embedding_models_uuids:
+                    # model will be automatically loaded
-                    continue
+                    await self.ap.embedding_models_service.create_embedding_model(
-
+                        {
-                # model will be automatically loaded
+                            'uuid': space_model.uuid,
-                await self.ap.embedding_models_service.create_embedding_model(
+                            'name': space_model.model_id,
-                    {
+                            'provider_uuid': space_model_provider.uuid,
-                        'uuid': space_model.uuid,
+                            'extra_args': {},
+                            'prefered_ranking': space_model.featured_order,
+                        },
+                        preserve_uuid=True,
+                    )
+                    created += 1
+                elif existing.get('provider_uuid') == space_model_provider.uuid:
+                    desired = {
                         'name': space_model.model_id,
                         'provider_uuid': space_model_provider.uuid,
-                        'extra_args': {},
                         'prefered_ranking': space_model.featured_order,
-                    },
+                    }
-                    preserve_uuid=True,
+                    if (
-                )
+                        existing.get('name') != desired['name']
+                        or existing.get('prefered_ranking') != desired['prefered_ranking']
+                    ):
+                        await self.ap.embedding_models_service.update_embedding_model(space_model.uuid, dict(desired))
+                        updated += 1
+
+        if created or updated:
+            self.ap.logger.info(f'Synced models from LangBot Space: {created} added, {updated} updated.')
 
     async def init_temporary_runtime_llm_model(
         self,

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

@@ -0,0 +1,511 @@
+"""DeerFlow LangGraph API Runner
+
+参考 astrbot 的 deerflow_agent_runner 实现，适配 LangBot 的 Runner 接口。
+
+特点：
+- 使用 LangGraph HTTP API 接入 deer-flow 后端
+- 自动管理 thread_id（按 session 隔离）
+- 支持 SSE 流式响应解析
+- 支持 streaming/非流式两种输出
+- 处理 values / messages-tuple / custom 三种事件
+"""
+
+from __future__ import annotations
+
+import asyncio
+import hashlib
+import json
+import typing
+from collections import deque
+from dataclasses import dataclass, field
+
+
+from langbot.pkg.provider import runner
+from langbot.pkg.core import app
+import langbot_plugin.api.entities.builtin.provider.message as provider_message
+import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+from langbot.libs.deerflow_api import client, errors, stream_utils
+
+
+_MAX_VALUES_HISTORY = 200
+
+
+@dataclass
+class _StreamState:
+    """流式状态跟踪"""
+
+    latest_text: str = ''
+    prev_text_for_streaming: str = ''
+    clarification_text: str = ''
+    task_failures: list[str] = field(default_factory=list)
+    seen_message_ids: set[str] = field(default_factory=set)
+    seen_message_order: deque[str] = field(default_factory=deque)
+    no_id_message_fingerprints: dict[int, str] = field(default_factory=dict)
+    baseline_initialized: bool = False
+    has_values_text: bool = False
+    run_values_messages: list[dict[str, typing.Any]] = field(default_factory=list)
+    timed_out: bool = False
+
+
+@runner.runner_class('deerflow-api')
+class DeerFlowAPIRunner(runner.RequestRunner):
+    """DeerFlow LangGraph API 对话请求器"""
+
+    deerflow_client: client.AsyncDeerFlowClient
+
+    def __init__(self, ap: app.Application, pipeline_config: dict):
+        super().__init__(ap, pipeline_config)
+
+        cfg = self.pipeline_config['ai']['deerflow-api']
+
+        api_base = cfg.get('api-base', '').strip()
+        if not api_base or not api_base.startswith(('http://', 'https://')):
+            raise errors.DeerFlowAPIError(
+                message='DeerFlow API Base URL 格式错误，必须以 http:// 或 https:// 开头',
+            )
+
+        self.api_base = api_base
+        self.api_key = cfg.get('api-key', '')
+        self.auth_header = cfg.get('auth-header', '')
+        self.assistant_id = cfg.get('assistant-id', 'lead_agent')
+        self.model_name = cfg.get('model-name', '')
+        self.thinking_enabled = bool(cfg.get('thinking-enabled', False))
+        self.plan_mode = bool(cfg.get('plan-mode', False))
+        self.subagent_enabled = bool(cfg.get('subagent-enabled', False))
+        self.max_concurrent_subagents = int(cfg.get('max-concurrent-subagents', 3))
+        self.timeout = int(cfg.get('timeout', 300))
+        self.recursion_limit = int(cfg.get('recursion-limit', 1000))
+
+        self.deerflow_client = client.AsyncDeerFlowClient(
+            api_base=self.api_base,
+            api_key=self.api_key,
+            auth_header=self.auth_header,
+        )
+
+    # ------------------------------------------------------------------
+    # 辅助方法
+    # ------------------------------------------------------------------
+
+    def _fingerprint_message(self, message: dict[str, typing.Any]) -> str:
+        try:
+            raw = json.dumps(message, sort_keys=True, ensure_ascii=False, default=str)
+        except (TypeError, ValueError):
+            raw = repr(message)
+        return hashlib.sha1(raw.encode('utf-8', errors='ignore')).hexdigest()
+
+    def _remember_seen_message_id(self, state: _StreamState, msg_id: str) -> None:
+        if not msg_id or msg_id in state.seen_message_ids:
+            return
+        state.seen_message_ids.add(msg_id)
+        state.seen_message_order.append(msg_id)
+        while len(state.seen_message_order) > _MAX_VALUES_HISTORY:
+            dropped = state.seen_message_order.popleft()
+            state.seen_message_ids.discard(dropped)
+
+    def _extract_new_messages_from_values(
+        self,
+        values_messages: list[typing.Any],
+        state: _StreamState,
+    ) -> list[dict[str, typing.Any]]:
+        new_messages: list[dict[str, typing.Any]] = []
+        no_id_indexes_seen: set[int] = set()
+        for idx, msg in enumerate(values_messages):
+            if not isinstance(msg, dict):
+                continue
+            msg_id = stream_utils.get_message_id(msg)
+            if msg_id:
+                if msg_id in state.seen_message_ids:
+                    continue
+                self._remember_seen_message_id(state, msg_id)
+                new_messages.append(msg)
+                continue
+
+            no_id_indexes_seen.add(idx)
+            fp = self._fingerprint_message(msg)
+            if state.no_id_message_fingerprints.get(idx) == fp:
+                continue
+            state.no_id_message_fingerprints[idx] = fp
+            new_messages.append(msg)
+
+        for idx in list(state.no_id_message_fingerprints.keys()):
+            if idx not in no_id_indexes_seen:
+                state.no_id_message_fingerprints.pop(idx, None)
+        return new_messages
+
+    # ------------------------------------------------------------------
+    # 用户输入处理
+    # ------------------------------------------------------------------
+
+    def _build_user_content(
+        self,
+        prompt: str,
+        image_urls: list[str],
+    ) -> typing.Any:
+        """构建 LangGraph 兼容的 user content（支持多模态）"""
+        if not image_urls:
+            return prompt
+
+        content: list[dict[str, typing.Any]] = []
+        if prompt:
+            content.append({'type': 'text', 'text': prompt})
+        for url in image_urls:
+            if not isinstance(url, str):
+                continue
+            url = url.strip()
+            if not url:
+                continue
+            if url.startswith(('http://', 'https://', 'data:')):
+                content.append({'type': 'image_url', 'image_url': {'url': url}})
+        return content if content else prompt
+
+    def _preprocess_user_message(
+        self,
+        query: pipeline_query.Query,
+    ) -> tuple[str, list[str]]:
+        """提取用户消息的纯文本与图片 URL 列表"""
+        plain_text = ''
+        image_urls: list[str] = []
+
+        if isinstance(query.user_message.content, str):
+            plain_text = query.user_message.content
+        elif isinstance(query.user_message.content, list):
+            for ce in query.user_message.content:
+                if ce.type == 'text':
+                    plain_text += ce.text
+                elif ce.type == 'image_base64':
+                    # 转换为 data URI 形式
+                    b64 = getattr(ce, 'image_base64', '')
+                    if b64:
+                        if not b64.startswith('data:'):
+                            b64 = f'data:image/png;base64,{b64}'
+                        image_urls.append(b64)
+                elif ce.type == 'image_url':
+                    url = getattr(ce, 'image_url', '')
+                    if url:
+                        image_urls.append(url)
+
+        return plain_text, image_urls
+
+    # ------------------------------------------------------------------
+    # 请求构造
+    # ------------------------------------------------------------------
+
+    def _build_messages(
+        self,
+        prompt: str,
+        image_urls: list[str],
+        system_prompt: str = '',
+    ) -> list[dict[str, typing.Any]]:
+        messages: list[dict[str, typing.Any]] = []
+        if system_prompt:
+            messages.append({'role': 'system', 'content': system_prompt})
+        messages.append(
+            {
+                'role': 'user',
+                'content': self._build_user_content(prompt, image_urls),
+            }
+        )
+        return messages
+
+    def _build_runtime_configurable(self, thread_id: str) -> dict[str, typing.Any]:
+        cfg: dict[str, typing.Any] = {
+            'thread_id': thread_id,
+            'thinking_enabled': self.thinking_enabled,
+            'is_plan_mode': self.plan_mode,
+            'subagent_enabled': self.subagent_enabled,
+        }
+        if self.subagent_enabled:
+            cfg['max_concurrent_subagents'] = self.max_concurrent_subagents
+        if self.model_name:
+            cfg['model_name'] = self.model_name
+        return cfg
+
+    def _build_payload(
+        self,
+        thread_id: str,
+        prompt: str,
+        image_urls: list[str],
+        system_prompt: str = '',
+    ) -> dict[str, typing.Any]:
+        runtime_configurable = self._build_runtime_configurable(thread_id)
+        return {
+            'assistant_id': self.assistant_id,
+            'input': {
+                'messages': self._build_messages(prompt, image_urls, system_prompt),
+            },
+            'stream_mode': ['values', 'messages-tuple', 'custom'],
+            # DeerFlow 2.0 从 config.configurable 读取运行时覆盖
+            # 同时保留 context 字段做向后兼容
+            'context': dict(runtime_configurable),
+            'config': {
+                'recursion_limit': self.recursion_limit,
+                'configurable': runtime_configurable,
+            },
+        }
+
+    # ------------------------------------------------------------------
+    # Session/Thread 管理
+    # ------------------------------------------------------------------
+
+    async def _ensure_thread_id(self, query: pipeline_query.Query) -> str:
+        """从 query.session 取/创建 deerflow thread_id
+
+        LangBot 使用 `query.session.using_conversation.uuid` 持久化 conversation id，
+        我们复用这个字段存储 deerflow thread_id（与 Dify Runner 同样做法）。
+        """
+        thread_id = query.session.using_conversation.uuid or ''
+        if thread_id:
+            return thread_id
+
+        thread = await self.deerflow_client.create_thread(timeout=min(30, self.timeout))
+        thread_id = thread.get('thread_id', '')
+        if not thread_id:
+            raise errors.DeerFlowAPIError(message=f'DeerFlow create thread 返回数据缺少 thread_id: {thread}')
+
+        query.session.using_conversation.uuid = thread_id
+        return thread_id
+
+    # ------------------------------------------------------------------
+    # 流式事件处理
+    # ------------------------------------------------------------------
+
+    def _handle_values_event(
+        self,
+        data: typing.Any,
+        state: _StreamState,
+    ) -> str | None:
+        """处理 values 事件，返回新的完整文本（增量基础上的全量）"""
+        values_messages = stream_utils.extract_messages_from_values_data(data)
+        if not values_messages:
+            return None
+
+        new_messages: list[dict[str, typing.Any]] = []
+        if not state.baseline_initialized:
+            state.baseline_initialized = True
+            for idx, msg in enumerate(values_messages):
+                if not isinstance(msg, dict):
+                    continue
+                new_messages.append(msg)
+                msg_id = stream_utils.get_message_id(msg)
+                if msg_id:
+                    self._remember_seen_message_id(state, msg_id)
+                    continue
+                state.no_id_message_fingerprints[idx] = self._fingerprint_message(msg)
+        else:
+            new_messages = self._extract_new_messages_from_values(values_messages, state)
+
+        latest_text = ''
+        if new_messages:
+            state.run_values_messages.extend(new_messages)
+            if len(state.run_values_messages) > _MAX_VALUES_HISTORY:
+                state.run_values_messages = state.run_values_messages[-_MAX_VALUES_HISTORY:]
+            latest_text = stream_utils.extract_latest_ai_text(state.run_values_messages)
+            if latest_text:
+                state.has_values_text = True
+            latest_clarification = stream_utils.extract_latest_clarification_text(
+                state.run_values_messages,
+            )
+            if latest_clarification:
+                state.clarification_text = latest_clarification
+
+        return latest_text or None
+
+    def _handle_message_event(
+        self,
+        data: typing.Any,
+        state: _StreamState,
+    ) -> str | None:
+        """处理 messages-tuple 事件，返回增量文本
+
+        当 values 事件已经提供完整文本时，跳过 messages-tuple 的增量
+        """
+        delta = stream_utils.extract_ai_delta_from_event_data(data)
+        if delta and not state.has_values_text:
+            state.latest_text += delta
+            return delta
+
+        maybe_clar = stream_utils.extract_clarification_from_event_data(data)
+        if maybe_clar:
+            state.clarification_text = maybe_clar
+        return None
+
+    def _build_final_text(self, state: _StreamState) -> str:
+        """构建最终输出文本"""
+        if state.clarification_text:
+            return state.clarification_text
+
+        # 优先使用最后一条 AI message 的文本
+        latest_ai = stream_utils.extract_latest_ai_message(state.run_values_messages)
+        if latest_ai:
+            text = stream_utils.extract_text(latest_ai.get('content'))
+            if text:
+                if state.timed_out:
+                    text += f'\n\nDeerFlow stream 在 {self.timeout}s 后超时，返回部分结果。'
+                return text
+
+        if state.latest_text:
+            text = state.latest_text
+            if state.timed_out:
+                text += f'\n\nDeerFlow stream 在 {self.timeout}s 后超时，返回部分结果。'
+            return text
+
+        # 提取任务失败信息作兜底
+        failure_text = stream_utils.build_task_failure_summary(state.task_failures)
+        if failure_text:
+            return failure_text
+
+        return 'DeerFlow 返回空响应'
+
+    # ------------------------------------------------------------------
+    # 主流程
+    # ------------------------------------------------------------------
+
+    async def _stream_messages_chunk(
+        self,
+        query: pipeline_query.Query,
+    ) -> typing.AsyncGenerator[provider_message.MessageChunk, None]:
+        """流式输出生成器"""
+        plain_text, image_urls = self._preprocess_user_message(query)
+
+        system_prompt = ''
+        # LangBot 的 pipeline 通常通过 prompt-preprocess 已注入 system prompt
+        # 这里保持空，让 prompt-preprocess 的内容作为 user message 一并送给 deerflow
+
+        thread_id = await self._ensure_thread_id(query)
+        payload = self._build_payload(
+            thread_id=thread_id,
+            prompt=plain_text or 'continue',
+            image_urls=image_urls,
+            system_prompt=system_prompt,
+        )
+
+        state = _StreamState()
+        prev_text = ''
+        message_idx = 0
+
+        try:
+            async for event in self.deerflow_client.stream_run(
+                thread_id=thread_id,
+                payload=payload,
+                timeout=self.timeout,
+            ):
+                event_type = event.get('event')
+                data = event.get('data')
+
+                if event_type == 'values':
+                    new_full = self._handle_values_event(data, state)
+                    if new_full and new_full != prev_text:
+                        delta = new_full[len(prev_text) :] if new_full.startswith(prev_text) else new_full
+                        prev_text = new_full
+                        if delta:
+                            message_idx += 1
+                            yield provider_message.MessageChunk(
+                                role='assistant',
+                                content=new_full,
+                                is_final=False,
+                            )
+                    continue
+
+                if event_type in {'messages-tuple', 'messages', 'message'}:
+                    delta = self._handle_message_event(data, state)
+                    if delta:
+                        prev_text = state.latest_text
+                        message_idx += 1
+                        yield provider_message.MessageChunk(
+                            role='assistant',
+                            content=prev_text,
+                            is_final=False,
+                        )
+                    continue
+
+                if event_type == 'custom':
+                    state.task_failures.extend(
+                        stream_utils.extract_task_failures_from_custom_event(data),
+                    )
+                    continue
+
+                if event_type == 'error':
+                    raise errors.DeerFlowAPIError(message=f'DeerFlow stream error event: {data}')
+
+                if event_type == 'end':
+                    break
+        except (asyncio.TimeoutError, TimeoutError):
+            self.ap.logger.warning(f'DeerFlow stream timed out after {self.timeout}s for thread_id={thread_id}')
+            state.timed_out = True
+
+        # 最终消息
+        final_text = self._build_final_text(state)
+        yield provider_message.MessageChunk(
+            role='assistant',
+            content=final_text,
+            is_final=True,
+        )
+
+    async def _messages(
+        self,
+        query: pipeline_query.Query,
+    ) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """非流式聚合输出"""
+        plain_text, image_urls = self._preprocess_user_message(query)
+
+        thread_id = await self._ensure_thread_id(query)
+        payload = self._build_payload(
+            thread_id=thread_id,
+            prompt=plain_text or 'continue',
+            image_urls=image_urls,
+        )
+
+        state = _StreamState()
+
+        try:
+            async for event in self.deerflow_client.stream_run(
+                thread_id=thread_id,
+                payload=payload,
+                timeout=self.timeout,
+            ):
+                event_type = event.get('event')
+                data = event.get('data')
+
+                if event_type == 'values':
+                    self._handle_values_event(data, state)
+                    continue
+
+                if event_type in {'messages-tuple', 'messages', 'message'}:
+                    self._handle_message_event(data, state)
+                    continue
+
+                if event_type == 'custom':
+                    state.task_failures.extend(
+                        stream_utils.extract_task_failures_from_custom_event(data),
+                    )
+                    continue
+
+                if event_type == 'error':
+                    raise errors.DeerFlowAPIError(message=f'DeerFlow stream error event: {data}')
+
+                if event_type == 'end':
+                    break
+        except (asyncio.TimeoutError, TimeoutError):
+            self.ap.logger.warning(f'DeerFlow stream timed out after {self.timeout}s for thread_id={thread_id}')
+            state.timed_out = True
+
+        final_text = self._build_final_text(state)
+        yield provider_message.Message(
+            role='assistant',
+            content=final_text,
+        )
+
+    async def run(
+        self,
+        query: pipeline_query.Query,
+    ) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """主入口：根据 adapter 是否支持流式输出，选择流式或非流式"""
+        if await query.adapter.is_stream_output_supported():
+            msg_idx = 0
+            async for msg in self._stream_messages_chunk(query):
+                msg_idx += 1
+                msg.msg_sequence = msg_idx
+                yield msg
+        else:
+            async for msg in self._messages(query):
+                yield msg

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

@@ -0,0 +1,351 @@
+from __future__ import annotations
+
+import typing
+import json
+
+
+from langbot.pkg.provider import runner
+from langbot.pkg.core import app
+import langbot_plugin.api.entities.builtin.provider.message as provider_message
+import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
+from langbot.libs.weknora_api import client, errors
+
+
+@runner.runner_class('weknora-api')
+class WeKnoraAPIRunner(runner.RequestRunner):
+    """WeKnora API 对话请求器"""
+
+    weknora_client: client.AsyncWeKnoraClient
+
+    def __init__(self, ap: app.Application, pipeline_config: dict):
+        super().__init__(ap, pipeline_config)
+
+        valid_app_types = ['chat', 'agent']
+        if self.pipeline_config['ai']['weknora-api']['app-type'] not in valid_app_types:
+            raise errors.WeKnoraAPIError(
+                f'不支持的 WeKnora 应用类型: {self.pipeline_config["ai"]["weknora-api"]["app-type"]}'
+            )
+
+        api_key = self.pipeline_config['ai']['weknora-api'].get('api-key', '').strip()
+        if not api_key:
+            raise errors.WeKnoraAPIError(
+                'WeKnora API Key 未配置，请在流水线的 WeKnora API 配置中填入 API Key '
+                '(从 WeKnora 前端 设置 → API Keys 生成)'
+            )
+
+        base_url = self.pipeline_config['ai']['weknora-api'].get('base-url', '').strip()
+        if not base_url:
+            raise errors.WeKnoraAPIError('WeKnora Base URL 未配置，请填入服务器地址，例如 http://localhost:8080/api/v1')
+
+        self.weknora_client = client.AsyncWeKnoraClient(
+            api_key=api_key,
+            base_url=base_url,
+        )
+
+    async def _extract_plain_text(self, query: pipeline_query.Query) -> str:
+        """从用户消息中提取纯文本内容"""
+        plain_text = ''
+        if isinstance(query.user_message.content, str):
+            plain_text = query.user_message.content
+        elif isinstance(query.user_message.content, list):
+            for ce in query.user_message.content:
+                if ce.type == 'text':
+                    plain_text += ce.text
+
+        if not plain_text:
+            plain_text = self.pipeline_config['ai']['weknora-api'].get('base-prompt', '')
+
+        return plain_text
+
+    async def _ensure_session(self, query: pipeline_query.Query) -> str:
+        """确保会话存在，如果不存在则创建"""
+        session_id = query.session.using_conversation.uuid or ''
+
+        if not session_id:
+            user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
+            session_id = await self.weknora_client.create_session(title=f'IM Chat - {user_tag}')
+            query.session.using_conversation.uuid = session_id
+
+        return session_id
+
+    async def _agent_chat_messages(
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """调用 Agent 智能对话（非流式聚合输出）"""
+        session_id = await self._ensure_session(query)
+        plain_text = await self._extract_plain_text(query)
+        user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
+
+        config = self.pipeline_config['ai']['weknora-api']
+        agent_id = config.get('agent-id', 'builtin-smart-reasoning')
+        knowledge_base_ids = config.get('knowledge-base-ids', [])
+        web_search_enabled = config.get('web-search-enabled', False)
+        timeout = config.get('timeout', 120)
+
+        full_answer = ''
+        chunk = None
+
+        async for chunk in self.weknora_client.agent_chat(
+            session_id=session_id,
+            query=plain_text,
+            user=user_tag,
+            agent_id=agent_id,
+            knowledge_base_ids=knowledge_base_ids,
+            web_search_enabled=web_search_enabled,
+            timeout=timeout,
+        ):
+            self.ap.logger.debug('weknora-agent-chunk: ' + str(chunk))
+
+            response_type = chunk.get('response_type', '')
+            content = chunk.get('content', '')
+
+            if response_type == 'tool_call':
+                # 工具调用
+                tool_data = chunk.get('data', {})
+                tool_name = tool_data.get('tool_name', '')
+                if tool_name:
+                    yield provider_message.Message(
+                        role='assistant',
+                        tool_calls=[
+                            provider_message.ToolCall(
+                                id=chunk.get('id', ''),
+                                type='function',
+                                function=provider_message.FunctionCall(
+                                    name=tool_name,
+                                    arguments=json.dumps(tool_data.get('arguments', {})),
+                                ),
+                            )
+                        ],
+                    )
+
+            elif response_type == 'answer':
+                if content:
+                    full_answer += content
+
+            elif response_type == 'error':
+                raise errors.WeKnoraAPIError(f'WeKnora 服务错误: {content}')
+
+        if chunk is None:
+            raise errors.WeKnoraAPIError('WeKnora API 没有返回任何响应，请检查网络连接和API配置')
+
+        if full_answer:
+            yield provider_message.Message(
+                role='assistant',
+                content=full_answer,
+            )
+
+    async def _chat_messages(
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """调用知识库 RAG 问答（非流式聚合输出）"""
+        session_id = await self._ensure_session(query)
+        plain_text = await self._extract_plain_text(query)
+        user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
+
+        config = self.pipeline_config['ai']['weknora-api']
+        agent_id = config.get('agent-id', 'builtin-quick-answer')
+        knowledge_base_ids = config.get('knowledge-base-ids', [])
+        timeout = config.get('timeout', 120)
+
+        full_answer = ''
+        chunk = None
+
+        async for chunk in self.weknora_client.knowledge_chat(
+            session_id=session_id,
+            query=plain_text,
+            user=user_tag,
+            agent_id=agent_id,
+            knowledge_base_ids=knowledge_base_ids,
+            timeout=timeout,
+        ):
+            self.ap.logger.debug('weknora-chat-chunk: ' + str(chunk))
+
+            response_type = chunk.get('response_type', '')
+            content = chunk.get('content', '')
+
+            if response_type == 'answer':
+                if content:
+                    full_answer += content
+
+            elif response_type == 'error':
+                raise errors.WeKnoraAPIError(f'WeKnora 服务错误: {content}')
+
+        if chunk is None:
+            raise errors.WeKnoraAPIError('WeKnora API 没有返回任何响应，请检查网络连接和API配置')
+
+        if full_answer:
+            yield provider_message.Message(
+                role='assistant',
+                content=full_answer,
+            )
+
+    async def _agent_chat_messages_chunk(
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.MessageChunk, None]:
+        """调用 Agent 智能对话（流式输出）"""
+        session_id = await self._ensure_session(query)
+        plain_text = await self._extract_plain_text(query)
+        user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
+
+        config = self.pipeline_config['ai']['weknora-api']
+        agent_id = config.get('agent-id', 'builtin-smart-reasoning')
+        knowledge_base_ids = config.get('knowledge-base-ids', [])
+        web_search_enabled = config.get('web-search-enabled', False)
+        timeout = config.get('timeout', 120)
+
+        pending_answer = ''
+        message_idx = 0
+        is_final = False
+        chunk = None
+
+        async for chunk in self.weknora_client.agent_chat(
+            session_id=session_id,
+            query=plain_text,
+            user=user_tag,
+            agent_id=agent_id,
+            knowledge_base_ids=knowledge_base_ids,
+            web_search_enabled=web_search_enabled,
+            timeout=timeout,
+        ):
+            self.ap.logger.debug('weknora-agent-chunk: ' + str(chunk))
+
+            response_type = chunk.get('response_type', '')
+            content = chunk.get('content', '')
+            done = chunk.get('done', False)
+
+            if response_type == 'tool_call':
+                tool_data = chunk.get('data', {})
+                tool_name = tool_data.get('tool_name', '')
+                if tool_name:
+                    message_idx += 1
+                    yield provider_message.MessageChunk(
+                        role='assistant',
+                        tool_calls=[
+                            provider_message.ToolCall(
+                                id=chunk.get('id', ''),
+                                type='function',
+                                function=provider_message.FunctionCall(
+                                    name=tool_name,
+                                    arguments=json.dumps(tool_data.get('arguments', {})),
+                                ),
+                            )
+                        ],
+                    )
+
+            elif response_type == 'answer':
+                message_idx += 1
+                if content:
+                    pending_answer += content
+
+                if done:
+                    is_final = True
+
+                # 每 8 个 chunk 输出一次，或最终输出
+                if message_idx % 8 == 0 or is_final:
+                    yield provider_message.MessageChunk(
+                        role='assistant',
+                        content=pending_answer,
+                        is_final=is_final,
+                    )
+
+            elif response_type == 'error':
+                raise errors.WeKnoraAPIError(f'WeKnora 服务错误: {content}')
+
+        if chunk is None:
+            raise errors.WeKnoraAPIError('WeKnora API 没有返回任何响应，请检查网络连接和API配置')
+
+        # 确保最终消息已发出
+        if not is_final and pending_answer:
+            yield provider_message.MessageChunk(
+                role='assistant',
+                content=pending_answer,
+                is_final=True,
+            )
+
+    async def _chat_messages_chunk(
+        self, query: pipeline_query.Query
+    ) -> typing.AsyncGenerator[provider_message.MessageChunk, None]:
+        """调用知识库 RAG 问答（流式输出）"""
+        session_id = await self._ensure_session(query)
+        plain_text = await self._extract_plain_text(query)
+        user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
+
+        config = self.pipeline_config['ai']['weknora-api']
+        agent_id = config.get('agent-id', 'builtin-quick-answer')
+        knowledge_base_ids = config.get('knowledge-base-ids', [])
+        timeout = config.get('timeout', 120)
+
+        pending_answer = ''
+        message_idx = 0
+        is_final = False
+        chunk = None
+
+        async for chunk in self.weknora_client.knowledge_chat(
+            session_id=session_id,
+            query=plain_text,
+            user=user_tag,
+            agent_id=agent_id,
+            knowledge_base_ids=knowledge_base_ids,
+            timeout=timeout,
+        ):
+            self.ap.logger.debug('weknora-chat-chunk: ' + str(chunk))
+
+            response_type = chunk.get('response_type', '')
+            content = chunk.get('content', '')
+            done = chunk.get('done', False)
+
+            if response_type == 'answer':
+                message_idx += 1
+                if content:
+                    pending_answer += content
+
+                if done:
+                    is_final = True
+
+                if message_idx % 8 == 0 or is_final:
+                    yield provider_message.MessageChunk(
+                        role='assistant',
+                        content=pending_answer,
+                        is_final=is_final,
+                    )
+
+            elif response_type == 'error':
+                raise errors.WeKnoraAPIError(f'WeKnora 服务错误: {content}')
+
+        if chunk is None:
+            raise errors.WeKnoraAPIError('WeKnora API 没有返回任何响应，请检查网络连接和API配置')
+
+        if not is_final and pending_answer:
+            yield provider_message.MessageChunk(
+                role='assistant',
+                content=pending_answer,
+                is_final=True,
+            )
+
+    async def run(self, query: pipeline_query.Query) -> typing.AsyncGenerator[provider_message.Message, None]:
+        """运行请求"""
+        app_type = self.pipeline_config['ai']['weknora-api']['app-type']
+
+        if await query.adapter.is_stream_output_supported():
+            msg_idx = 0
+            if app_type == 'agent':
+                async for msg in self._agent_chat_messages_chunk(query):
+                    msg_idx += 1
+                    msg.msg_sequence = msg_idx
+                    yield msg
+            elif app_type == 'chat':
+                async for msg in self._chat_messages_chunk(query):
+                    msg_idx += 1
+                    msg.msg_sequence = msg_idx
+                    yield msg
+            else:
+                raise errors.WeKnoraAPIError(f'不支持的 WeKnora 应用类型: {app_type}')
+        else:
+            if app_type == 'agent':
+                async for msg in self._agent_chat_messages(query):
+                    yield msg
+            elif app_type == 'chat':
+                async for msg in self._chat_messages(query):
+                    yield msg
+            else:
+                raise errors.WeKnoraAPIError(f'不支持的 WeKnora 应用类型: {app_type}')

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

@@ -240,12 +240,13 @@ class RuntimeMCPSession:
                     return
                 if attempt >= self._MAX_RETRIES:
                     self.status = MCPSessionStatus.ERROR
-                    self.error_message = f'Failed after {self._MAX_RETRIES + 1} attempts: {e}'
+                    self.error_message = f'Failed after {self._MAX_RETRIES + 1} attempts: {self._describe_exception(e)}'
                     self._ready_event.set()
                     return
                 delay = self._RETRY_DELAYS[attempt]
                 self.ap.logger.warning(
-                    f'MCP session {self.server_name} failed (attempt {attempt + 1}), retrying in {delay}s: {e}'
+                    f'MCP session {self.server_name} failed (attempt {attempt + 1}), '
+                    f'retrying in {delay}s: {self._describe_exception(e)}'
                 )
                 await self._cleanup_box_stdio_session()
                 # Reset status for retry
@@ -254,6 +255,30 @@ class RuntimeMCPSession:
                 self.error_phase = None
                 await asyncio.sleep(delay)
 
+    @staticmethod
+    def _describe_exception(exc: BaseException) -> str:
+        """Flatten an exception into its underlying leaf messages.
+
+        anyio / the MCP client wrap real failures in a TaskGroup, whose own
+        message is the unhelpful "unhandled errors in a TaskGroup (N
+        sub-exception)". Recurse into ExceptionGroups so the actual cause
+        (e.g. ``httpx.HTTPStatusError: Client error '410 Gone'``) is surfaced.
+        """
+        leaves: list[str] = []
+
+        def visit(e: BaseException) -> None:
+            sub = getattr(e, 'exceptions', None)
+            if sub:  # ExceptionGroup / BaseExceptionGroup
+                for child in sub:
+                    visit(child)
+            else:
+                leaves.append(f'{type(e).__name__}: {e}')
+
+        visit(exc)
+        seen: set[str] = set()
+        unique = [m for m in leaves if not (m in seen or seen.add(m))]
+        return '; '.join(unique) if unique else f'{type(exc).__name__}: {exc}'
+
     _MONITOR_POLL_INTERVAL = 5
     _MONITOR_MAX_CONSECUTIVE_ERRORS = 3
 

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

@@ -47,6 +47,14 @@ stages:
             label:
               en_US: Langflow API
               zh_Hans: Langflow API
+          - name: weknora-api
+            label:
+              en_US: WeKnora API
+              zh_Hans: WeKnora API
+          - name: deerflow-api
+            label:
+              en_US: DeerFlow API
+              zh_Hans: DeerFlow API
       - name: expire-time
         label:
           en_US: Conversation expire time (seconds)
@@ -653,3 +661,215 @@ stages:
         type: json
         required: false
         default: '{}'
+  - name: weknora-api
+    label:
+      en_US: WeKnora API
+      zh_Hans: WeKnora API
+    description:
+      en_US: Configure the WeKnora API of the pipeline
+      zh_Hans: 配置 WeKnora API
+    config:
+      - name: base-url
+        label:
+          en_US: Base URL
+          zh_Hans: 基础 URL
+        description:
+          en_US: The base URL of the WeKnora server (with /api/v1)
+          zh_Hans: WeKnora 服务器的基础 URL（包含 /api/v1）
+        type: string
+        required: true
+        default: 'http://localhost:8080/api/v1'
+      - name: api-key
+        label:
+          en_US: API Key
+          zh_Hans: API 密钥
+        description:
+          en_US: The API key for WeKnora, generated from WeKnora frontend Settings → API Keys
+          zh_Hans: WeKnora 的 API 密钥，从 WeKnora 前端 设置 → API Keys 生成
+        type: string
+        required: true
+        default: ''
+      - name: app-type
+        label:
+          en_US: App Type
+          zh_Hans: 应用类型
+        type: select
+        required: true
+        default: agent
+        options:
+          - name: agent
+            label:
+              en_US: Agent (Smart Reasoning)
+              zh_Hans: Agent（智能推理）
+          - name: chat
+            label:
+              en_US: Chat (Knowledge Base RAG)
+              zh_Hans: 聊天（知识库 RAG）
+      - name: agent-id
+        label:
+          en_US: Agent ID
+          zh_Hans: 智能体 ID
+        description:
+          en_US: The Agent ID to use. Built-in agents include builtin-quick-answer, builtin-smart-reasoning, builtin-data-analyst
+          zh_Hans: 要使用的智能体 ID。内置智能体：builtin-quick-answer、builtin-smart-reasoning、builtin-data-analyst
+        type: string
+        required: true
+        default: 'builtin-smart-reasoning'
+      - name: knowledge-base-ids
+        label:
+          en_US: Knowledge Base IDs
+          zh_Hans: 知识库 ID 列表
+        description:
+          en_US: List of WeKnora knowledge base IDs to use (one per line)
+          zh_Hans: 要使用的 WeKnora 知识库 ID 列表（每行一个）
+        type: array
+        required: false
+        default: []
+      - name: web-search-enabled
+        label:
+          en_US: Enable Web Search
+          zh_Hans: 启用网络搜索
+        description:
+          en_US: Whether to enable web search in agent mode
+          zh_Hans: 在 Agent 模式下是否启用网络搜索
+        type: boolean
+        required: false
+        default: false
+      - name: timeout
+        label:
+          en_US: Timeout
+          zh_Hans: 超时时间
+        description:
+          en_US: Request timeout in seconds
+          zh_Hans: 请求超时时间（秒）
+        type: integer
+        required: false
+        default: 120
+      - name: base-prompt
+        label:
+          en_US: Base Prompt
+          zh_Hans: 基础提示词
+        description:
+          en_US: Default prompt when user message is empty (e.g. only images)
+          zh_Hans: 当用户消息为空（例如仅图片）时使用的默认提示词
+        type: string
+        required: false
+        default: '请回答用户的问题。'
+  - name: deerflow-api
+    label:
+      en_US: DeerFlow API
+      zh_Hans: DeerFlow API
+    description:
+      en_US: Configure the DeerFlow LangGraph API of the pipeline
+      zh_Hans: 配置 DeerFlow LangGraph API
+    config:
+      - name: api-base
+        label:
+          en_US: API Base URL
+          zh_Hans: API 基础 URL
+        description:
+          en_US: The base URL of the DeerFlow server (e.g. http://127.0.0.1:2026)
+          zh_Hans: DeerFlow 服务器的基础 URL（例如 http://127.0.0.1:2026）
+        type: string
+        required: true
+        default: 'http://127.0.0.1:2026'
+      - name: api-key
+        label:
+          en_US: API Key
+          zh_Hans: API 密钥
+        description:
+          en_US: Optional API key for DeerFlow (leave empty if not required)
+          zh_Hans: DeerFlow 的 API 密钥（如果不需要可留空）
+        type: string
+        required: false
+        default: ''
+      - name: auth-header
+        label:
+          en_US: Auth Header Name
+          zh_Hans: 鉴权请求头名称
+        description:
+          en_US: Custom auth header name. Leave empty to use "x-api-key"
+          zh_Hans: 自定义鉴权请求头名称，留空则使用 "x-api-key"
+        type: string
+        required: false
+        default: ''
+      - name: assistant-id
+        label:
+          en_US: Assistant ID
+          zh_Hans: 助手 ID
+        description:
+          en_US: The DeerFlow assistant/graph id (default lead_agent)
+          zh_Hans: DeerFlow 助手/图 ID（默认 lead_agent）
+        type: string
+        required: true
+        default: 'lead_agent'
+      - name: model-name
+        label:
+          en_US: Model Name
+          zh_Hans: 模型名称
+        description:
+          en_US: Optional model override forwarded to DeerFlow configurable
+          zh_Hans: 可选的模型名称覆盖，会作为 configurable 转发给 DeerFlow
+        type: string
+        required: false
+        default: ''
+      - name: thinking-enabled
+        label:
+          en_US: Enable Thinking
+          zh_Hans: 启用思考
+        description:
+          en_US: Whether to enable DeerFlow thinking mode
+          zh_Hans: 是否启用 DeerFlow 思考模式
+        type: boolean
+        required: false
+        default: false
+      - name: plan-mode
+        label:
+          en_US: Plan Mode
+          zh_Hans: 规划模式
+        description:
+          en_US: Whether to enable DeerFlow plan mode
+          zh_Hans: 是否启用 DeerFlow 规划模式
+        type: boolean
+        required: false
+        default: false
+      - name: subagent-enabled
+        label:
+          en_US: Enable Subagents
+          zh_Hans: 启用子代理
+        description:
+          en_US: Whether to enable parallel subagent execution
+          zh_Hans: 是否启用并行子代理执行
+        type: boolean
+        required: false
+        default: false
+      - name: max-concurrent-subagents
+        label:
+          en_US: Max Concurrent Subagents
+          zh_Hans: 最大并发子代理数
+        description:
+          en_US: Maximum number of concurrent subagents (only effective when subagents are enabled)
+          zh_Hans: 最大并发子代理数（仅在启用子代理时生效）
+        type: integer
+        required: false
+        default: 3
+      - name: timeout
+        label:
+          en_US: Timeout
+          zh_Hans: 超时时间
+        description:
+          en_US: Request timeout in seconds (DeerFlow runs may take a long time)
+          zh_Hans: 请求超时时间（秒），DeerFlow 运行可能耗时较长
+        type: integer
+        required: false
+        default: 300
+      - name: recursion-limit
+        label:
+          en_US: Recursion Limit
+          zh_Hans: 递归上限
+        description:
+          en_US: LangGraph recursion limit for a single run
+          zh_Hans: 单次运行的 LangGraph 递归上限
+        type: integer
+        required: false
+        default: 1000

tests/integration/persistence/test_migrations.py

@@ -104,7 +104,7 @@ class TestSQLiteMigrationUpgrade:
         rev = await get_alembic_current(sqlite_engine)
         assert rev is not None, "Expected a revision after upgrade"
         # Head should be the latest migration
-        assert rev.startswith('0003'), f"Expected head to be 0003_*, got {rev}"
+        assert rev.startswith('0004'), f"Expected head to be 0004_*, got {rev}"
 
     @pytest.mark.asyncio
     async def test_upgrade_idempotent(self, sqlite_engine):

tests/integration/persistence/test_migrations_postgres.py

@@ -150,8 +150,8 @@ class TestPostgreSQLMigrationUpgrade:
         # Verify revision
         rev = await get_alembic_current(postgres_engine)
         assert rev is not None, "Expected a revision after upgrade"
-        # Head should be the latest migration (0003 for current state)
+        # Head should be the latest migration (0004 for current state)
-        assert rev.startswith('0003'), f"Expected head to be 0003_*, got {rev}"
+        assert rev.startswith('0004'), f"Expected head to be 0004_*, got {rev}"
 
     @pytest.mark.asyncio
     async def test_postgres_upgrade_idempotent(

uv.lock

@@ -55,7 +55,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.13.5"
+version = "3.14.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -64,95 +64,111 @@ dependencies = [
     { name = "frozenlist" },
     { name = "multidict" },
     { name = "propcache" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/77/9a/152096d4808df8e4268befa55fba462f440f14beab85e8ad9bf990516918/aiohttp-3.13.5.tar.gz", hash = "sha256:9d98cc980ecc96be6eb4c1994ce35d28d8b1f5e5208a23b421187d1209dbb7d1", size = 7858271, upload-time = "2026-03-31T22:01:03.343Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/ab/93ce242f899b68c51b0578c027aafa791ab3614cb9345fa5d37b5f5c8e3e/aiohttp-3.14.0.tar.gz", hash = "sha256:2882de819734c715fd1b9c11c97e09fa020d14438203d1d354d8ed1702791c9b", size = 7940674, upload-time = "2026-06-01T19:41:02.763Z" }
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 ]
 
 [[package]]

web/package.json

@@ -16,7 +16,13 @@
     ]
   },
   "overrides": {
-    "@radix-ui/react-focus-scope": "1.1.7"
+    "@radix-ui/react-focus-scope": "1.1.7",
+    "flatted": ">=3.4.2",
+    "follow-redirects": ">=1.16.0",
+    "minimatch@>=3.0.0 <3.1.3": "3.1.3",
+    "minimatch@>=9.0.0 <9.0.7": "9.0.7",
+    "picomatch@>=2.0.0 <2.3.2": "2.3.2",
+    "picomatch@>=4.0.0 <4.0.4": "4.0.4"
   },
   "dependencies": {
     "@dnd-kit/core": "^6.3.1",
@@ -46,7 +52,7 @@
     "@tailwindcss/postcss": "^4.1.5",
     "@tanstack/react-table": "^8.21.3",
     "@vitejs/plugin-react": "^6.0.1",
-    "axios": "^1.15.0",
+    "axios": "^1.16.0",
     "class-variance-authority": "^0.7.1",
     "clsx": "^2.1.1",
     "highlight.js": "^11.11.1",
@@ -55,7 +61,7 @@
     "input-otp": "^1.4.2",
     "lodash": "^4.18.0",
     "lucide-react": "^0.507.0",
-    "postcss": "^8.5.3",
+    "postcss": "^8.5.10",
     "qrcode": "^1.5.4",
     "react": "19.2.1",
     "react-dom": "19.2.1",
@@ -63,7 +69,7 @@
     "react-i18next": "^15.5.1",
     "react-markdown": "^10.1.0",
     "react-photo-view": "^1.2.7",
-    "react-router-dom": "^7.14.0",
+    "react-router-dom": "^7.15.0",
     "react-syntax-highlighter": "^16.1.0",
     "recharts": "2.15.4",
     "rehype-autolink-headings": "^7.1.0",
@@ -107,7 +113,12 @@
   "packageManager": "pnpm@8.9.2+sha512.b9d35fe91b2a5854dadc43034a3e7b2e675fa4b56e20e8e09ef078fa553c18f8aed44051e7b36e8b8dd435f97eb0c44c4ff3b44fc7c6fa7d21e1fac17bbe661e",
   "pnpm": {
     "overrides": {
-      "minimatch": "3.1.3"
+      "minimatch@>=3.0.0 <3.1.3": "3.1.3",
+      "minimatch@>=9.0.0 <9.0.7": "9.0.7",
+      "picomatch@>=2.0.0 <2.3.2": "2.3.2",
+      "picomatch@>=4.0.0 <4.0.4": "4.0.4",
+      "flatted": ">=3.4.2",
+      "follow-redirects": ">=1.16.0"
     }
   }
 }

web/pnpm-lock.yaml

@@ -5,7 +5,12 @@ settings:
   excludeLinksFromLockfile: false
 
 overrides:
-  minimatch: 3.1.3
+  minimatch@>=3.0.0 <3.1.3: 3.1.3
+  minimatch@>=9.0.0 <9.0.7: 9.0.7
+  picomatch@>=2.0.0 <2.3.2: 2.3.2
+  picomatch@>=4.0.0 <4.0.4: 4.0.4
+  flatted: '>=3.4.2'
+  follow-redirects: '>=1.16.0'
 
 dependencies:
   '@dnd-kit/core':
@@ -90,8 +95,8 @@ dependencies:
     specifier: ^6.0.1
     version: 6.0.1(vite@8.0.8)
   axios:
-    specifier: ^1.15.0
+    specifier: ^1.16.0
-    version: 1.15.0
+    version: 1.17.0
   class-variance-authority:
     specifier: ^0.7.1
     version: 0.7.1
@@ -117,8 +122,8 @@ dependencies:
     specifier: ^0.507.0
     version: 0.507.0(react@19.2.1)
   postcss:
-    specifier: ^8.5.3
+    specifier: ^8.5.10
-    version: 8.5.6
+    version: 8.5.15
   qrcode:
     specifier: ^1.5.4
     version: 1.5.4
@@ -141,8 +146,8 @@ dependencies:
     specifier: ^1.2.7
     version: 1.2.7(react-dom@19.2.1)(react@19.2.1)
   react-router-dom:
-    specifier: ^7.14.0
+    specifier: ^7.15.0
-    version: 7.14.0(react-dom@19.2.1)(react@19.2.1)
+    version: 7.17.0(react-dom@19.2.1)(react@19.2.1)
   react-syntax-highlighter:
     specifier: ^16.1.0
     version: 16.1.0(react@19.2.1)
@@ -1866,7 +1871,7 @@ packages:
       '@alloc/quick-lru': 5.2.0
       '@tailwindcss/node': 4.1.18
       '@tailwindcss/oxide': 4.1.18
-      postcss: 8.5.6
+      postcss: 8.5.15
       tailwindcss: 4.1.18
     dev: false
 
@@ -2117,7 +2122,7 @@ packages:
       '@typescript-eslint/types': 8.54.0
       '@typescript-eslint/visitor-keys': 8.54.0
       debug: 4.4.3
-      minimatch: 3.1.3
+      minimatch: 9.0.7
       semver: 7.7.3
       tinyglobby: 0.2.15
       ts-api-utils: 2.4.0(typescript@5.9.3)
@@ -2186,6 +2191,15 @@ packages:
     hasBin: true
     dev: true
 
+  /agent-base@6.0.2:
+    resolution: {integrity: sha512-RZNwNclF7+MS/8bDg70amg32dyeZGZxiDuQmZxKLAlQjr3jGyLx+4Kkk58UO7D2QdgFIQCovuSuZESne6RG6XQ==}
+    engines: {node: '>= 6.0.0'}
+    dependencies:
+      debug: 4.4.3
+    transitivePeerDependencies:
+      - supports-color
+    dev: false
+
   /ajv@6.12.6:
     resolution: {integrity: sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==}
     dependencies:
@@ -2328,14 +2342,16 @@ packages:
       possible-typed-array-names: 1.1.0
     dev: true
 
-  /axios@1.15.0:
+  /axios@1.17.0:
-    resolution: {integrity: sha512-wWyJDlAatxk30ZJer+GeCWS209sA42X+N5jU2jy6oHTp7ufw8uzUTVFBX9+wTfAlhiJXGS0Bq7X6efruWjuK9Q==}
+    resolution: {integrity: sha512-J8SwNxprqqpbfenehxWYXE7CW+wM1BB4w3+N+g+/Wx40xM4rsLrfPmHHxSWIxJLYDgSY/HqlFPIYb2/S3rxafw==}
     dependencies:
-      follow-redirects: 1.15.11
+      follow-redirects: 1.16.0
       form-data: 4.0.5
+      https-proxy-agent: 5.0.1
       proxy-from-env: 2.1.0
     transitivePeerDependencies:
       - debug
+      - supports-color
     dev: false
 
   /bail@2.0.2:
@@ -2346,6 +2362,11 @@ packages:
     resolution: {integrity: sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==}
     dev: true
 
+  /balanced-match@4.0.4:
+    resolution: {integrity: sha512-BLrgEcRTwX2o6gGxGOCNyMvGSp35YofuYzw9h1IMTRmKqttAZZVU67bdb9Pr2vUHA8+j3i2tJfjO6C6+4myGTA==}
+    engines: {node: 18 || 20 || >=22}
+    dev: true
+
   /brace-expansion@1.1.12:
     resolution: {integrity: sha512-9T9UjW3r0UW5c1Q7GTwllptXwhvYmEzFhzMfZ9H7FQWt+uZePjZPjBP/W1ZEyZ1twGWom5/56TF4lPcqjnDHcg==}
     dependencies:
@@ -2353,6 +2374,13 @@ packages:
       concat-map: 0.0.1
     dev: true
 
+  /brace-expansion@5.0.6:
+    resolution: {integrity: sha512-kLpxurY4Z4r9sgMsyG0Z9uzsBlgiU/EFKhj/h91/8yHu0edo7XuixOIH3VcJ8kkxs6/jPzoI6U9Vj3WqbMQ94g==}
+    engines: {node: 18 || 20 || >=22}
+    dependencies:
+      balanced-match: 4.0.4
+    dev: true
+
   /braces@3.0.3:
     resolution: {integrity: sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==}
     engines: {node: '>=8'}
@@ -3094,7 +3122,7 @@ packages:
     resolution: {integrity: sha512-tIbYtZbucOs0BRGqPJkshJUYdL+SDH7dVM8gjy+ERp3WAUjLEFJE+02kanyHtwjWOnwrKYBiwAmM0p4kLJAnXg==}
     engines: {node: '>=12.0.0'}
     peerDependencies:
-      picomatch: ^3 || ^4
+      picomatch: 4.0.4
     peerDependenciesMeta:
       picomatch:
         optional: true
@@ -3135,16 +3163,16 @@ packages:
     resolution: {integrity: sha512-f7ccFPK3SXFHpx15UIGyRJ/FJQctuKZ0zVuN3frBo4HnK3cay9VEW0R6yPYFHC0AgqhukPzKjq22t5DmAyqGyw==}
     engines: {node: '>=16'}
     dependencies:
-      flatted: 3.3.3
+      flatted: 3.4.2
       keyv: 4.5.4
     dev: true
 
-  /flatted@3.3.3:
+  /flatted@3.4.2:
-    resolution: {integrity: sha512-GX+ysw4PBCz0PzosHDepZGANEuFCMLrnRTiEy9McGjmkCQYwRq4A/X786G/fjM/+OjsWSU1ZrY5qyARZmO/uwg==}
+    resolution: {integrity: sha512-PjDse7RzhcPkIJwy5t7KPWQSZ9cAbzQXcafsetQoD7sOJRQlGikNbx7yZp2OotDnJyrDcbyRq3Ttb18iYOqkxA==}
     dev: true
 
-  /follow-redirects@1.15.11:
+  /follow-redirects@1.16.0:
-    resolution: {integrity: sha512-deG2P0JfjrTxl50XGCDyfI97ZGVCxIpfKYmfyrQ54n5FO/0gfIES8C/Psl6kWVDolizcaaxZJnTS0QSMxvnsBQ==}
+    resolution: {integrity: sha512-y5rN/uOsadFT/JfYwhxRS5R7Qce+g3zG97+JrtFZlC9klX/W5hD7iiLzScI4nZqUS7DNUdhPgw4xI8W2LuXlUw==}
     engines: {node: '>=4.0'}
     peerDependencies:
       debug: '*'
@@ -3479,6 +3507,16 @@ packages:
     resolution: {integrity: sha512-bEqo66MRXsUGxWHV5IP0PUiAWwoEjba4VCzg0LjFJBpchPaTfyfCKTG6bc5F8ucKec3q5y6qOdGyYTSBEvhCrg==}
     dev: false
 
+  /https-proxy-agent@5.0.1:
+    resolution: {integrity: sha512-dFcAjpTQFgoLMzC2VwU+C/CbS7uRL0lWmxDITmqm7C+7F0Odmj6s9l6alZc6AELXhrnggM2CeWSXHGOdX2YtwA==}
+    engines: {node: '>= 6'}
+    dependencies:
+      agent-base: 6.0.2
+      debug: 4.4.3
+    transitivePeerDependencies:
+      - supports-color
+    dev: false
+
   /human-signals@5.0.0:
     resolution: {integrity: sha512-AXcZb6vzzrFAUE61HnN4mpLqd/cSIwNQjtNWR0euPm6y0iqx3G4gOXaIDdtdDwZmhwe82LA6+zinmW4UBWVePQ==}
     engines: {node: '>=16.17.0'}
@@ -4648,7 +4686,7 @@ packages:
     engines: {node: '>=8.6'}
     dependencies:
       braces: 3.0.3
-      picomatch: 2.3.1
+      picomatch: 2.3.2
     dev: true
 
   /mime-db@1.52.0:
@@ -4679,11 +4717,18 @@ packages:
       brace-expansion: 1.1.12
     dev: true
 
+  /minimatch@9.0.7:
+    resolution: {integrity: sha512-MOwgjc8tfrpn5QQEvjijjmDVtMw2oL88ugTevzxQnzRLm6l3fVEF2gzU0kYeYYKD8C66+IdGX6peJ4MyUlUnPg==}
+    engines: {node: '>=16 || 14 >=14.17'}
+    dependencies:
+      brace-expansion: 5.0.6
+    dev: true
+
   /ms@2.1.3:
     resolution: {integrity: sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==}
 
-  /nanoid@3.3.11:
+  /nanoid@3.3.12:
-    resolution: {integrity: sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w==}
+    resolution: {integrity: sha512-ZB9RH/39qpq5Vu6Y+NmUaFhQR6pp+M2Xt76XBnEwDaGcVAqhlvxrl3B2bKS5D3NH3QR76v3aSrKaF/Kiy7lEtQ==}
     engines: {node: ^10 || ^12 || ^13.7 || ^14 || >=15.0.1}
     hasBin: true
     dev: false
@@ -4880,8 +4925,8 @@ packages:
     resolution: {integrity: sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA==}
     dev: false
 
-  /picomatch@2.3.1:
+  /picomatch@2.3.2:
-    resolution: {integrity: sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==}
+    resolution: {integrity: sha512-V7+vQEJ06Z+c5tSye8S+nHUfI51xoXIXjHQ99cQtKUkQqqO1kO/KCJUfZXuB47h/YBlDhah2H3hdUGXn8ie0oA==}
     engines: {node: '>=8.6'}
     dev: true
 
@@ -4905,20 +4950,11 @@ packages:
     engines: {node: '>= 0.4'}
     dev: true
 
-  /postcss@8.5.6:
+  /postcss@8.5.15:
-    resolution: {integrity: sha512-3Ybi1tAuwAP9s0r1UQ2J4n5Y0G05bJkpUIO0/bI9MhwmD70S5aTWbXGBwxHrelT+XM1k6dM0pk+SwNkpTRN7Pg==}
+    resolution: {integrity: sha512-FfR8sjd4em2T6fb3I2MwAJU7HWVMr9zba+enmQeeWFfCbm+UOC/0X4DS8XtpUTMwWMGbjKYP7xjfNekzyGmB3A==}
     engines: {node: ^10 || ^12 || >=14}
     dependencies:
-      nanoid: 3.3.11
+      nanoid: 3.3.12
-      picocolors: 1.1.1
-      source-map-js: 1.2.1
-    dev: false
-
-  /postcss@8.5.8:
-    resolution: {integrity: sha512-OW/rX8O/jXnm82Ey1k44pObPtdblfiuWnrd8X7GJ7emImCOstunGbXUpp7HdBrFQX6rJzn3sPT397Wp5aCwCHg==}
-    engines: {node: ^10 || ^12 || >=14}
-    dependencies:
-      nanoid: 3.3.11
       picocolors: 1.1.1
       source-map-js: 1.2.1
     dev: false
@@ -5094,8 +5130,8 @@ packages:
       use-sidecar: 1.1.3(@types/react@19.2.10)(react@19.2.1)
     dev: false
 
-  /react-router-dom@7.14.0(react-dom@19.2.1)(react@19.2.1):
+  /react-router-dom@7.17.0(react-dom@19.2.1)(react@19.2.1):
-    resolution: {integrity: sha512-2G3ajSVSZMEtmTjIklRWlNvo8wICEpLihfD/0YMDxbWK2UyP5EGfnoIn9AIQGnF3G/FX0MRbHXdFcD+rL1ZreQ==}
+    resolution: {integrity: sha512-fyU2yjGups/hE6Xz0I5ZYbVL8Gx29eCjgpHaRaTaVU+OOAdfRX05KsvyRm0GO8YQwOkhpU3MurW1jyMUJn+zSw==}
     engines: {node: '>=20.0.0'}
     peerDependencies:
       react: '>=18'
@@ -5103,11 +5139,11 @@ packages:
     dependencies:
       react: 19.2.1
       react-dom: 19.2.1(react@19.2.1)
-      react-router: 7.14.0(react-dom@19.2.1)(react@19.2.1)
+      react-router: 7.17.0(react-dom@19.2.1)(react@19.2.1)
     dev: false
 
-  /react-router@7.14.0(react-dom@19.2.1)(react@19.2.1):
+  /react-router@7.17.0(react-dom@19.2.1)(react@19.2.1):
-    resolution: {integrity: sha512-m/xR9N4LQLmAS0ZhkY2nkPA1N7gQ5TUVa5n8TgANuDTARbn1gt+zLPXEm7W0XDTbrQ2AJSJKhoa6yx1D8BcpxQ==}
+    resolution: {integrity: sha512-FDELK7rTMlCHO5+reyXsPlmfr7N1F91lPHsWYfMEGQm/KQ+F4JFM8jGoeQDmDvdTs93Fw9aSilH+uKRb4/jXvQ==}
     engines: {node: '>=20.0.0'}
     peerDependencies:
       react: '>=18'
@@ -6053,7 +6089,7 @@ packages:
       '@types/node': 20.19.30
       lightningcss: 1.32.0
       picomatch: 4.0.4
-      postcss: 8.5.8
+      postcss: 8.5.15
       rolldown: 1.0.0-rc.15
       tinyglobby: 0.2.15
     optionalDependencies:

web/src/app/RootLayout.tsx

@@ -0,0 +1,9 @@
+import { Outlet } from 'react-router-dom';
+import { useDocumentTitle } from '@/hooks/useDocumentTitle';
+
+// Top-level route layout: drives the dynamic document title from the active
+// route and renders the matched child route via <Outlet />.
+export default function RootLayout() {
+  useDocumentTitle();
+  return <Outlet />;
+}

web/src/app/home/add-extension/page.tsx

@@ -184,13 +184,21 @@ function AddExtensionContent() {
     const cloud = getCloudServiceClientSync();
     const a = installInfo.plugin_author || '';
     const n = installInfo.plugin_name || '';
-    if (installExtensionType === 'mcp')
+    return cloud.resolveMarketplaceIconURL(
-      return cloud.getMCPMarketplaceIconURL(a, n);
+      installExtensionType,
-    if (installExtensionType === 'skill')
+      a,
-      return cloud.getSkillMarketplaceIconURL(a, n);
+      n,
-    return cloud.getPluginIconURL(a, n);
+      installInfo.plugin_icon,
+    );
   })();
 
+  // When the resolved icon URL changes (e.g. the real external icon arrives
+  // after an async fetch), clear any prior load failure so the <img> retries
+  // instead of staying on the placeholder.
+  useEffect(() => {
+    setInstallIconFailed(false);
+  }, [installIconURL]);
+
   const [popoverOpen, setPopoverOpen] = useState(false);
   const [popoverView, setPopoverView] = useState<PopoverView>('menu');
   const [isDragOver, setIsDragOver] = useState(false);
@@ -278,6 +286,23 @@ function AddExtensionContent() {
     setInstallIconFailed(false);
     setModalOpen(true);
 
+    // The icon is not carried in the URL params, so fetch it from the
+    // marketplace record. Without this the confirm dialog falls back to the
+    // /resources/icon endpoint, which 404s for extensions whose icon is an
+    // external URL (simpleicons / iconify), showing a placeholder.
+    const cloud = getCloudServiceClientSync();
+    cloud
+      .fetchMarketplaceIcon(extType, author, name)
+      .then((icon) => {
+        if (!icon) return;
+        setInstallInfo((prev) =>
+          prev.plugin_author === author && prev.plugin_name === name
+            ? { ...prev, plugin_icon: icon }
+            : prev,
+        );
+      })
+      .catch(() => {});
+
     setSearchParams(
       (current) => {
         const next = new URLSearchParams(current);
@@ -326,6 +351,7 @@ function AddExtensionContent() {
       plugin_version: plugin.latest_version,
       plugin_label: extractI18nObject(plugin.label) || plugin.name,
       plugin_description: extractI18nObject(plugin.description) || '',
+      plugin_icon: plugin.icon || '',
     });
     setInstallExtensionType(plugin.type || 'plugin');
     setPluginInstallStatus(PluginInstallStatus.ASK_CONFIRM);

web/src/app/home/components/home-sidebar/HomeSidebar.tsx

@@ -119,6 +119,22 @@ function compareVersions(v1: string, v2: string): boolean {
   return false;
 }
 
+// Discord brand glyph (lucide-react has no Discord icon).
+function DiscordIcon({ className }: { className?: string }) {
+  return (
+    <svg
+      role="img"
+      viewBox="0 0 24 24"
+      fill="currentColor"
+      xmlns="http://www.w3.org/2000/svg"
+      className={className}
+      aria-hidden="true"
+    >
+      <path d="M20.317 4.3698a19.7913 19.7913 0 00-4.8851-1.5152.0741.0741 0 00-.0785.0371c-.211.3753-.4447.8648-.6083 1.2495-1.8447-.2762-3.68-.2762-5.4868 0-.1636-.3933-.4058-.8742-.6177-1.2495a.077.077 0 00-.0785-.037 19.7363 19.7363 0 00-4.8852 1.515.0699.0699 0 00-.0321.0277C.5334 9.0458-.319 13.5799.0992 18.0578a.0824.0824 0 00.0312.0561c2.0528 1.5076 4.0413 2.4228 5.9929 3.0294a.0777.0777 0 00.0842-.0276c.4616-.6304.8731-1.2952 1.226-1.9942a.076.076 0 00-.0416-.1057c-.6528-.2476-1.2743-.5495-1.8722-.8923a.077.077 0 01-.0076-.1277c.1258-.0943.2517-.1923.3718-.2914a.0743.0743 0 01.0776-.0105c3.9278 1.7933 8.18 1.7933 12.0614 0a.0739.0739 0 01.0785.0095c.1202.099.246.1981.3728.2924a.077.077 0 01-.0066.1276 12.2986 12.2986 0 01-1.873.8914.0766.0766 0 00-.0407.1067c.3604.698.7719 1.3628 1.225 1.9932a.076.076 0 00.0842.0286c1.961-.6067 3.9495-1.5219 6.0023-3.0294a.077.077 0 00.0313-.0552c.5004-5.177-.8382-9.6739-3.5485-13.6604a.061.061 0 00-.0312-.0286zM8.02 15.3312c-1.1825 0-2.1569-1.0857-2.1569-2.419 0-1.3332.9555-2.4189 2.157-2.4189 1.2108 0 2.1757 1.0952 2.1568 2.419 0 1.3332-.9555 2.4189-2.1569 2.4189zm7.9748 0c-1.1825 0-2.1569-1.0857-2.1569-2.419 0-1.3332.9554-2.4189 2.1569-2.4189 1.2108 0 2.1757 1.0952 2.1568 2.419 0 1.3332-.946 2.4189-2.1568 2.4189Z" />
+    </svg>
+  );
+}
+
 // IDs of sidebar entries that have collapsible entity sub-items
 const ENTITY_CATEGORY_IDS = [
   'bots',
@@ -2077,6 +2093,14 @@ export default function HomeSidebar({
                         </Badge>
                       )}
                     </DropdownMenuItem>
+                    <DropdownMenuItem
+                      onClick={() => {
+                        window.open('https://discord.gg/wdNEHETs87', '_blank');
+                      }}
+                    >
+                      <DiscordIcon className="text-[#5865F2]" />
+                      {t('common.joinDiscord')}
+                    </DropdownMenuItem>
                   </DropdownMenuGroup>
                   <DropdownMenuSeparator />
 

web/src/app/home/components/models-dialog/components/AddModelPopover.tsx

@@ -18,7 +18,7 @@ import {
   PopoverContent,
   PopoverTrigger,
 } from '@/components/ui/popover';
-import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
+import { Tabs, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { useTranslation } from 'react-i18next';
 import { ScannedProviderModel } from '@/app/infra/entities/api';
 import {
@@ -298,20 +298,8 @@ export default function AddModelPopover({
           </div>
 
           <div className="overflow-y-auto flex-1 min-h-0">
-            <Tabs
+            {mode === 'manual' ? (
-              value={mode}
+              <div className="mt-3">
-              onValueChange={(v) => setMode(v as 'manual' | 'scan')}
-            >
-              {!trigger && (
-                <TabsList className="grid w-full grid-cols-2 mt-3">
-                  <TabsTrigger value="manual">
-                    {t('models.manualAdd')}
-                  </TabsTrigger>
-                  <TabsTrigger value="scan">{t('models.scanAdd')}</TabsTrigger>
-                </TabsList>
-              )}
-
-              <TabsContent value="manual" className="mt-3">
                 <div className="space-y-3">
                   <div className="space-y-2">
                     <Label>{t('models.modelName')}</Label>
@@ -390,9 +378,9 @@ export default function AddModelPopover({
                     </Button>
                   </div>
                 </div>
-              </TabsContent>
+              </div>
-
+            ) : (
-              <TabsContent value="scan" className="space-y-2 mt-0 pt-0">
+              <div className="space-y-2 mt-3">
                 {scanLoading ? (
                   <div className="flex items-center justify-center py-4">
                     <RefreshCw className="h-4 w-4 mr-2 animate-spin text-muted-foreground" />
@@ -565,8 +553,8 @@ export default function AddModelPopover({
                     />
                   </Button>
                 </div>
-              </TabsContent>
+              </div>
-            </Tabs>
+            )}
           </div>
         </Tabs>
       </PopoverContent>

web/src/app/home/layout.tsx

@@ -42,6 +42,7 @@ import {
   PluginInstallTaskProvider,
   PluginInstallProgressDialog,
 } from '@/app/home/plugins/components/plugin-install-task';
+import { setDocumentTitle } from '@/hooks/useDocumentTitle';
 
 // Routes that belong to the "Extensions" section
 const EXTENSIONS_ROUTES = [
@@ -52,6 +53,28 @@ const EXTENSIONS_ROUTES = [
   '/home/plugin-pages',
 ];
 
+// Map a /home route to the i18n key for its type-level title. Used as a robust
+// fallback for the document title on direct page loads, before the sidebar's
+// onSelectedChange has populated the local `title` state. Detail routes reuse
+// the section key (prefix match), e.g. /home/mcp?id=... -> mcp.title.
+const HOME_TITLE_KEYS: { match: (path: string) => boolean; key: string }[] = [
+  { match: (p) => p.startsWith('/home/monitoring'), key: 'monitoring.title' },
+  { match: (p) => p.startsWith('/home/bots'), key: 'bots.title' },
+  { match: (p) => p.startsWith('/home/pipelines'), key: 'pipelines.title' },
+  {
+    match: (p) => p.startsWith('/home/add-extension'),
+    key: 'sidebar.addExtension',
+  },
+  { match: (p) => p.startsWith('/home/extensions'), key: 'plugins.title' },
+  { match: (p) => p.startsWith('/home/mcp'), key: 'mcp.title' },
+  { match: (p) => p.startsWith('/home/knowledge'), key: 'knowledge.title' },
+  { match: (p) => p.startsWith('/home/skills'), key: 'skills.title' },
+  {
+    match: (p) => p.startsWith('/home/plugin-pages'),
+    key: 'sidebar.pluginPages',
+  },
+];
+
 function isExtensionsRoute(pathname: string): boolean {
   return EXTENSIONS_ROUTES.some(
     (route) => pathname === route || pathname.startsWith(route + '/'),
@@ -147,6 +170,20 @@ function HomeLayoutInner({ children }: { children: React.ReactNode }) {
     : t('sidebar.home');
   const sectionLink = isExtensions ? '/home/extensions' : '/home/monitoring';
 
+  // Drive the browser tab title for the /home section. The type-level label
+  // prefers the sidebar-provided `title`, falling back to a route-derived key on
+  // direct page loads. When a sub-entity (plugin / MCP / pipeline / KB / skill)
+  // is open, its name is prepended: "<entity> · <type> · LangBot".
+  useEffect(() => {
+    const routeEntry = HOME_TITLE_KEYS.find((e) => e.match(pathname));
+    const fallbackType =
+      routeEntry && t(routeEntry.key) !== routeEntry.key
+        ? t(routeEntry.key)
+        : null;
+    const typeLabel = title || fallbackType;
+    setDocumentTitle(detailEntityName, typeLabel);
+  }, [pathname, title, detailEntityName, t]);
+
   return (
     <SidebarProvider>
       <Suspense fallback={<div />}>

web/src/app/home/mcp/components/mcp-form/MCPForm.tsx

@@ -40,6 +40,8 @@ import {
   CardTitle,
 } from '@/components/ui/card';
 import { httpClient } from '@/app/infra/http/HttpClient';
+import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
+import MCPReadme from '@/app/home/mcp/components/mcp-form/MCPReadme';
 import {
   MCPServerRuntimeInfo,
   MCPTool,
@@ -264,35 +266,10 @@ function RuntimePanel({
 
   const isConnected =
     !mcpTesting && runtimeInfo.status === MCPSessionStatus.CONNECTED;
-  // Only treat an explicit error (or box-unavailable) as failed; while testing,
-  // connecting, or in an initial/unresolved state, show "connecting" so we
-  // don't flash "connection failed" during a normal connection attempt.
-  const isFailed =
-    !mcpTesting &&
-    (runtimeInfo.status === MCPSessionStatus.ERROR ||
-      runtimeInfo.error_phase === 'box_unavailable');
   const tools = runtimeInfo.tools || [];
 
   return (
     <section className="space-y-4">
-      <div className="flex flex-wrap items-start justify-between gap-2">
-        <div className="space-y-1">
-          <h3 className="text-sm font-medium">{t('mcp.title')}</h3>
-          <p className="text-sm text-muted-foreground">
-            {isConnected
-              ? t('mcp.toolCount', { count: tools.length })
-              : isFailed
-                ? t('mcp.connectionFailedStatus')
-                : t('mcp.connecting')}
-          </p>
-        </div>
-        {isConnected && (
-          <Badge variant="outline">
-            {t('mcp.toolCount', { count: tools.length })}
-          </Badge>
-        )}
-      </div>
-
       {!isConnected && (
         <div className="rounded-md bg-muted/40 p-3">
           <StatusDisplay testing={mcpTesting} runtimeInfo={runtimeInfo} t={t} />
@@ -434,6 +411,9 @@ const MCPForm = forwardRef<MCPFormHandle, MCPFormProps>(function MCPForm(
   const [runtimeInfo, setRuntimeInfo] = useState<MCPServerRuntimeInfo | null>(
     null,
   );
+  // README markdown captured from LangBot Space at install time, surfaced in
+  // the Docs tab of the detail panel. Empty for manually-created servers.
+  const [readme, setReadme] = useState<string>('');
   const pollingIntervalRef = useRef<NodeJS.Timeout | null>(null);
   const watchMode = form.watch('mode');
   const {
@@ -611,6 +591,7 @@ const MCPForm = forwardRef<MCPFormHandle, MCPFormProps>(function MCPForm(
       setStdioArgs(newStdioArgs);
       form.reset(formValues);
       setRuntimeInfo(server.runtime_info ?? null);
+      setReadme(server.readme ?? '');
     } catch (error) {
       console.error('Failed to load server:', error);
       toast.error(t('mcp.loadFailed'));
@@ -1063,6 +1044,42 @@ const MCPForm = forwardRef<MCPFormHandle, MCPFormProps>(function MCPForm(
     />
   );
 
+  // In edit mode the right side shows a tablist switching between the live
+  // Tools list and the Docs (README captured from LangBot Space at install).
+  // Create mode has neither, so it falls back to the bare runtime placeholder.
+  // The tool count lives in the tab label (only when connected); the panel
+  // body itself no longer repeats a title/subtitle.
+  const toolsConnected =
+    !mcpTesting && runtimeInfo?.status === MCPSessionStatus.CONNECTED;
+  const toolsCount = runtimeInfo?.tools?.length ?? 0;
+  const toolsTabLabel = toolsConnected
+    ? `${t('mcp.tabTools')} ${toolsCount}`
+    : t('mcp.tabTools');
+
+  const detailPanel = isEditMode ? (
+    <Tabs defaultValue="tools" className="flex h-full min-h-0 flex-col">
+      <TabsList>
+        <TabsTrigger value="docs" className="flex-none px-4">
+          {t('mcp.tabDocs')}
+        </TabsTrigger>
+        <TabsTrigger value="tools" className="flex-none px-4">
+          {toolsTabLabel}
+        </TabsTrigger>
+      </TabsList>
+      <TabsContent value="docs" className="mt-4 min-h-0 flex-1 overflow-y-auto">
+        <MCPReadme readme={readme} />
+      </TabsContent>
+      <TabsContent
+        value="tools"
+        className="mt-4 min-h-0 flex-1 overflow-y-auto"
+      >
+        {runtimePanel}
+      </TabsContent>
+    </Tabs>
+  ) : (
+    runtimePanel
+  );
+
   if (layout === 'split') {
     return (
       <Form {...form}>
@@ -1078,7 +1095,7 @@ const MCPForm = forwardRef<MCPFormHandle, MCPFormProps>(function MCPForm(
           </div>
           <div className="hidden w-px shrink-0 bg-border lg:block" />
           <div className="min-w-0 flex-1 pb-6 lg:min-h-0 lg:overflow-y-auto lg:overflow-x-hidden">
-            {runtimePanel}
+            {detailPanel}
           </div>
         </form>
       </Form>
@@ -1093,7 +1110,7 @@ const MCPForm = forwardRef<MCPFormHandle, MCPFormProps>(function MCPForm(
         className="space-y-5"
       >
         {sideHeader}
-        {runtimePanel}
+        {detailPanel}
         {configSection}
         {sideFooter}
       </form>

web/src/app/home/mcp/components/mcp-form/MCPReadme.tsx

@@ -0,0 +1,79 @@
+import ReactMarkdown from 'react-markdown';
+import remarkGfm from 'remark-gfm';
+import rehypeRaw from 'rehype-raw';
+import rehypeSanitize from 'rehype-sanitize';
+import rehypeHighlight from 'rehype-highlight';
+import rehypeSlug from 'rehype-slug';
+import rehypeAutolinkHeadings from 'rehype-autolink-headings';
+import { useTranslation } from 'react-i18next';
+import '@/styles/github-markdown.css';
+
+/**
+ * Renders the README markdown captured from LangBot Space at install time.
+ * The README is stored on the MCP server record (``server.readme``) so this
+ * works offline and regardless of the server's runtime/connection state.
+ *
+ * MCP marketplace READMEs reference images by absolute URL (the upstream repo),
+ * so — unlike plugin READMEs — no asset-path rewriting is needed here.
+ */
+export default function MCPReadme({ readme }: { readme?: string }) {
+  const { t } = useTranslation();
+
+  if (!readme || !readme.trim()) {
+    return (
+      <div className="flex min-h-[220px] items-center justify-center rounded-lg border border-dashed text-sm text-muted-foreground">
+        {t('mcp.noReadme')}
+      </div>
+    );
+  }
+
+  return (
+    <div className="w-full overflow-auto">
+      <div className="markdown-body max-w-none p-1 pt-0">
+        <ReactMarkdown
+          remarkPlugins={[remarkGfm]}
+          rehypePlugins={[
+            rehypeRaw,
+            rehypeSanitize,
+            rehypeHighlight,
+            rehypeSlug,
+            [
+              rehypeAutolinkHeadings,
+              {
+                behavior: 'wrap',
+                properties: {
+                  className: ['anchor'],
+                },
+              },
+            ],
+          ]}
+          components={{
+            ul: ({ children }) => <ul className="list-disc">{children}</ul>,
+            ol: ({ children }) => <ol className="list-decimal">{children}</ol>,
+            li: ({ children }) => <li className="ml-4">{children}</li>,
+            a: ({ children, href, ...props }) => (
+              <a
+                href={href}
+                target="_blank"
+                rel="noopener noreferrer"
+                {...props}
+              >
+                {children}
+              </a>
+            ),
+            img: ({ src, alt, ...props }) => (
+              <img
+                src={src}
+                alt={alt || ''}
+                className="my-4 h-auto max-w-full rounded-lg"
+                {...props}
+              />
+            ),
+          }}
+        >
+          {readme}
+        </ReactMarkdown>
+      </div>
+    </div>
+  );
+}

web/src/app/home/plugins/components/plugin-install-task/PluginInstallProgressDialog.tsx

@@ -11,7 +11,7 @@ import {
   Download,
   Package,
   Server,
-  BookOpen,
+  Sparkles,
   CheckCircle2,
   XCircle,
   Loader2,
@@ -176,7 +176,7 @@ function TaskProgressContent({ task }: { task: PluginInstallTask }) {
   // MCP / Skill don't have the plugin's download + dependency-install stages;
   // show a single "installing → done/failed" row instead of plugin steps.
   const isPlugin = task.extensionType === 'plugin';
-  const simpleIcon = task.extensionType === 'mcp' ? Server : BookOpen;
+  const simpleIcon = task.extensionType === 'mcp' ? Server : Sparkles;
   const simpleInstallingLabel =
     task.extensionType === 'mcp'
       ? t('addExtension.installStage.mcpInstalling')

web/src/app/home/plugins/components/plugin-install-task/PluginInstallTaskQueue.tsx

@@ -9,9 +9,9 @@ import {
   Loader2,
   X,
   ListTodo,
-  Wrench,
+  Puzzle,
-  AudioWaveform,
+  Server,
-  Book,
+  Sparkles,
 } from 'lucide-react';
 import { Button } from '@/components/ui/button';
 import {
@@ -35,9 +35,9 @@ const STAGE_ICONS: Record<string, React.ElementType> = {
 };
 
 const EXTENSION_TYPE_ICONS: Record<string, React.ElementType> = {
-  plugin: Wrench,
+  plugin: Puzzle,
-  mcp: AudioWaveform,
+  mcp: Server,
-  skill: Book,
+  skill: Sparkles,
 };
 
 function TaskQueueItem({
@@ -54,7 +54,7 @@ function TaskQueueItem({
   const isError = task.stage === InstallStage.ERROR;
   const isRunning = !isDone && !isError;
   const StageIcon = STAGE_ICONS[task.stage] || Download;
-  const TypeIcon = EXTENSION_TYPE_ICONS[task.extensionType] || Wrench;
+  const TypeIcon = EXTENSION_TYPE_ICONS[task.extensionType] || Puzzle;
 
   const getTypeBadgeClass = () => {
     switch (task.extensionType) {

web/src/app/home/plugins/components/plugin-installed/PluginInstalledComponent.tsx

@@ -21,8 +21,7 @@ import { extractI18nObject } from '@/i18n/I18nProvider';
 import { toast } from 'sonner';
 import { useAsyncTask, AsyncTaskStatus } from '@/hooks/useAsyncTask';
 import { useSidebarData } from '@/app/home/components/home-sidebar/SidebarDataContext';
-import { Loader2, Puzzle } from 'lucide-react';
+import { Loader2, Puzzle, Server, Sparkles } from 'lucide-react';
-import { Wrench, AudioWaveform, Book } from 'lucide-react';
 
 export interface PluginInstalledComponentRef {
   refreshPluginList: () => void;
@@ -44,14 +43,18 @@ export const FilterOptions = [
   {
     value: 'plugin' as FilterType,
     labelKey: 'market.typePlugin',
-    icon: Wrench,
+    icon: Puzzle,
   },
   {
     value: 'mcp' as FilterType,
     labelKey: 'market.typeMCP',
-    icon: AudioWaveform,
+    icon: Server,
+  },
+  {
+    value: 'skill' as FilterType,
+    labelKey: 'market.typeSkill',
+    icon: Sparkles,
   },
-  { value: 'skill' as FilterType, labelKey: 'market.typeSkill', icon: Book },
 ];
 
 interface PluginInstalledComponentProps {

web/src/app/home/plugins/components/plugin-market/PluginMarketComponent.tsx

@@ -17,6 +17,9 @@ import { Separator } from '@/components/ui/separator';
 import { ToggleGroup, ToggleGroupItem } from '@/components/ui/toggle-group';
 import {
   Search,
+  Puzzle,
+  Server,
+  Sparkles,
   Wrench,
   AudioWaveform,
   Hash,
@@ -88,9 +91,9 @@ function MarketPageContent({
 
   const extensionTypeOptions = [
     { value: 'all', label: t('market.filters.allFormats'), icon: null },
-    { value: 'plugin', label: t('market.typePlugin'), icon: Wrench },
+    { value: 'plugin', label: t('market.typePlugin'), icon: Puzzle },
-    { value: 'mcp', label: t('market.typeMCP'), icon: AudioWaveform },
+    { value: 'mcp', label: t('market.typeMCP'), icon: Server },
-    { value: 'skill', label: t('market.typeSkill'), icon: Book },
+    { value: 'skill', label: t('market.typeSkill'), icon: Sparkles },
   ];
 
   const [searchQuery, setSearchQuery] = useState('');
@@ -121,6 +124,8 @@ function MarketPageContent({
   const [hasMore, setHasMore] = useState(true);
   const [currentPage, setCurrentPage] = useState(1);
   const [total, setTotal] = useState(0);
+  // Per-format extension counts shown next to the type filter options.
+  const [typeCounts, setTypeCounts] = useState<Record<string, number>>({});
   const [sortOption, setSortOption] = useState<string>(
     () => loadMarketFilters().sortOption ?? 'install_count_desc',
   );
@@ -142,7 +147,7 @@ function MarketPageContent({
     }
   }, [typeFilter, componentFilter, selectedTags, sortOption]);
 
-  const pageSize = 12; // 每页12个
+  const pageSize = 24; // 每页24个
   const searchTimeoutRef = useRef<NodeJS.Timeout | null>(null);
   const scrollContainerRef = useRef<HTMLDivElement | null>(null);
   const isComposingRef = useRef(false);
@@ -213,12 +218,12 @@ function MarketPageContent({
   const transformToVO = useCallback(
     (plugin: PluginV4): PluginMarketCardVO => {
       const cloudClient = getCloudServiceClientSync();
-      const iconURL =
+      const iconURL = cloudClient.resolveMarketplaceIconURL(
-        plugin.type === 'mcp'
+        plugin.type,
-          ? cloudClient.getMCPMarketplaceIconURL(plugin.author, plugin.name)
+        plugin.author,
-          : plugin.type === 'skill'
+        plugin.name,
-            ? cloudClient.getSkillMarketplaceIconURL(plugin.author, plugin.name)
+        plugin.icon,
-            : cloudClient.getPluginIconURL(plugin.author, plugin.name);
+      );
 
       return new PluginMarketCardVO({
         pluginId: plugin.author + ' / ' + plugin.name,
@@ -317,6 +322,7 @@ function MarketPageContent({
       fetchPlugins(1, false, true);
       fetchAvailableTags();
       fetchRecommendationLists();
+      fetchTypeCounts();
     })();
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, []);
@@ -356,6 +362,32 @@ function MarketPageContent({
     }
   };
 
+  // 获取各扩展格式的数量（用于筛选器标签上的计数）
+  const fetchTypeCounts = async () => {
+    const types = ['plugin', 'mcp', 'skill'];
+    try {
+      const results = await Promise.all(
+        types.map((type) =>
+          getCloudServiceClientSync()
+            .searchMarketplaceExtensions({
+              page: 1,
+              page_size: 1,
+              type_filter: type,
+            })
+            .then((res) => res.total)
+            .catch(() => 0),
+        ),
+      );
+      const counts: Record<string, number> = {};
+      types.forEach((type, i) => {
+        counts[type] = results[i];
+      });
+      setTypeCounts(counts);
+    } catch (error) {
+      console.error('Failed to fetch extension type counts:', error);
+    }
+  };
+
   // 搜索功能
   const handleSearch = useCallback(
     (query: string) => {
@@ -600,7 +632,11 @@ function MarketPageContent({
           <div className="relative min-w-0 flex-1 lg:max-w-xl">
             <Search className="absolute left-3 top-1/2 transform -translate-y-1/2 text-muted-foreground h-4 w-4" />
             <Input
-              placeholder={t('market.searchPlaceholder')}
+              placeholder={
+                total > 0
+                  ? t('market.searchPlaceholderCount', { count: total })
+                  : t('market.searchPlaceholder')
+              }
               value={searchQuery}
               onChange={(e) => handleSearchInputChange(e.target.value)}
               onCompositionStart={() => {
@@ -679,6 +715,7 @@ function MarketPageContent({
                   >
                     {extensionTypeOptions.map((option) => {
                       const Icon = option.icon;
+                      const count = typeCounts[option.value];
                       return (
                         <ToggleGroupItem
                           key={option.value}
@@ -688,6 +725,11 @@ function MarketPageContent({
                         >
                           {Icon && <Icon className="mr-1 h-3.5 w-3.5" />}
                           {option.label}
+                          {typeof count === 'number' && (
+                            <span className="ml-1 text-muted-foreground">
+                              ({count})
+                            </span>
+                          )}
                         </ToggleGroupItem>
                       );
                     })}
@@ -778,15 +820,6 @@ function MarketPageContent({
             );
           })}
         </div>
-
-        {/* 搜索结果统计 */}
-        {total > 0 && (
-          <div className="text-center text-muted-foreground text-sm">
-            {searchQuery
-              ? t('market.searchResults', { count: total })
-              : t('market.totalPlugins', { count: total })}
-          </div>
-        )}
       </div>
 
       {/* Scrollable extension list section */}
@@ -825,7 +858,7 @@ function MarketPageContent({
           </div>
         ) : (
           <>
-            <div className="grid grid-cols-[repeat(auto-fit,minmax(min(100%,22rem),1fr))] gap-6 mt-6">
+            <div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 2xl:grid-cols-4 gap-6 mt-6">
               {visiblePlugins.map((plugin) => (
                 <PluginMarketCardComponent
                   key={plugin.pluginId}
@@ -846,7 +879,9 @@ function MarketPageContent({
             {/* No more data hint */}
             {!hasMore && plugins.length > 0 && (
               <div className="text-center text-muted-foreground py-6">
-                {t('market.allLoaded')}
+                {searchQuery
+                  ? t('market.allLoadedCount', { count: total })
+                  : t('market.allLoaded')}
                 {' · '}
                 <a
                   href="https://github.com/langbot-app/langbot-plugin-demo/issues/new?template=plugin-request.yml"

web/src/app/home/plugins/components/plugin-market/RecommendationLists.tsx

@@ -23,13 +23,14 @@ function pluginToVO(
   t: (key: string) => string,
 ): PluginMarketCardVO {
   const cloudClient = getCloudServiceClientSync();
-  // Recommendation lists are mixed-type; resolve the icon per extension type.
+  // Recommendation lists are mixed-type; resolve the icon per extension type,
-  const iconURL =
+  // preferring an absolute external icon URL when the record carries one.
-    plugin.type === 'mcp'
+  const iconURL = cloudClient.resolveMarketplaceIconURL(
-      ? cloudClient.getMCPMarketplaceIconURL(plugin.author, plugin.name)
+    plugin.type,
-      : plugin.type === 'skill'
+    plugin.author,
-        ? cloudClient.getSkillMarketplaceIconURL(plugin.author, plugin.name)
+    plugin.name,
-        : cloudClient.getPluginIconURL(plugin.author, plugin.name);
+    plugin.icon,
+  );
 
   return new PluginMarketCardVO({
     pluginId: plugin.author + ' / ' + plugin.name,

web/src/app/home/plugins/components/plugin-market/plugin-market-card/PluginMarketCardComponent.tsx

@@ -94,7 +94,7 @@ export default function PluginMarketCardComponent({
       role="button"
       tabIndex={0}
       aria-label={t('market.installCard', { name: cardVO.label })}
-      className="w-[100%] h-[10rem] cursor-pointer bg-white rounded-[10px] shadow-[0px_0px_4px_0_rgba(0,0,0,0.2)] p-3 sm:p-[1rem] hover:shadow-[0px_2px_8px_0_rgba(0,0,0,0.15)] transition-shadow duration-200 outline-none focus-visible:ring-[3px] focus-visible:ring-ring/50 dark:bg-[#1f1f22] dark:shadow-[0px_0px_4px_0_rgba(255,255,255,0.1)] dark:hover:shadow-[0px_2px_8px_0_rgba(255,255,255,0.15)] relative"
+      className="w-[100%] h-[10rem] cursor-pointer bg-white rounded-[10px] border border-border shadow-[0px_1px_2px_0_rgba(0,0,0,0.06)] p-3 sm:p-[1rem] hover:shadow-[0px_2px_5px_0_rgba(0,0,0,0.08)] transition-shadow duration-200 outline-none focus-visible:ring-[3px] focus-visible:ring-ring/50 dark:bg-[#1f1f22] dark:shadow-[0px_1px_2px_0_rgba(255,255,255,0.04)] dark:hover:shadow-[0px_2px_5px_0_rgba(255,255,255,0.07)] relative"
       onClick={handleInstallClick}
       onKeyDown={(event) => {
         if (event.key === 'Enter' || event.key === ' ') {

web/src/app/infra/entities/api/index.ts

@@ -551,6 +551,7 @@ export type MCPServer =
       enable: boolean;
       extra_args: MCPServerExtraArgsSSE;
       runtime_info?: MCPServerRuntimeInfo;
+      readme?: string;
       created_at?: string;
       updated_at?: string;
     }
@@ -561,6 +562,7 @@ export type MCPServer =
       enable: boolean;
       extra_args: MCPServerExtraArgsHttp;
       runtime_info?: MCPServerRuntimeInfo;
+      readme?: string;
       created_at?: string;
       updated_at?: string;
     }
@@ -571,6 +573,7 @@ export type MCPServer =
       enable: boolean;
       extra_args: MCPServerExtraArgsStdio;
       runtime_info?: MCPServerRuntimeInfo;
+      readme?: string;
       created_at?: string;
       updated_at?: string;
     };

web/src/app/infra/http/CloudServiceClient.ts

@@ -207,6 +207,52 @@ export class CloudServiceClient extends BaseHttpClient {
     );
   }
 
+  public getMCPDetail(
+    author: string,
+    name: string,
+  ): Promise<{ mcp: PluginV4 }> {
+    return this.get<{ mcp: PluginV4 }>(
+      `/api/v1/marketplace/mcps/${author}/${name}`,
+    );
+  }
+
+  public getSkillDetail(
+    author: string,
+    name: string,
+  ): Promise<{ skill: PluginV4 }> {
+    return this.get<{ skill: PluginV4 }>(
+      `/api/v1/marketplace/skills/${author}/${name}`,
+    );
+  }
+
+  /**
+   * Resolve the marketplace ``icon`` field for an extension by author/name/type.
+   * Used when the icon is not already known locally (e.g. an install confirm
+   * dialog opened from a URL query param carries no icon). Returns the raw
+   * ``icon`` value from the marketplace record (often an absolute external URL),
+   * or an empty string if it cannot be fetched.
+   */
+  public async fetchMarketplaceIcon(
+    type: 'plugin' | 'mcp' | 'skill' | undefined,
+    author: string,
+    name: string,
+  ): Promise<string> {
+    try {
+      if (type === 'mcp') {
+        const resp = await this.getMCPDetail(author, name);
+        return resp?.mcp?.icon || '';
+      }
+      if (type === 'skill') {
+        const resp = await this.getSkillDetail(author, name);
+        return resp?.skill?.icon || '';
+      }
+      const resp = await this.getPluginDetail(author, name);
+      return resp?.plugin?.icon || '';
+    } catch {
+      return '';
+    }
+  }
+
   public getPluginREADME(
     author: string,
     pluginName: string,
@@ -230,6 +276,29 @@ export class CloudServiceClient extends BaseHttpClient {
     return `${this.baseURL}/api/v1/marketplace/skills/${author}/${name}/resources/icon`;
   }
 
+  /**
+   * Resolve the best icon URL for a marketplace extension.
+   *
+   * Many MCP / skill records store their ``icon`` as an absolute external URL
+   * (e.g. simpleicons.org / iconify.design logos) rather than a file uploaded
+   * to Space storage. For those, the ``/resources/icon`` endpoint 404s, so we
+   * must use the external URL directly. Records whose ``icon`` is empty or a
+   * relative path fall back to the ``/resources/icon`` endpoint (real uploads).
+   */
+  public resolveMarketplaceIconURL(
+    type: 'plugin' | 'mcp' | 'skill' | undefined,
+    author: string,
+    name: string,
+    icon?: string,
+  ): string {
+    if (icon && /^https?:\/\//i.test(icon)) {
+      return icon;
+    }
+    if (type === 'mcp') return this.getMCPMarketplaceIconURL(author, name);
+    if (type === 'skill') return this.getSkillMarketplaceIconURL(author, name);
+    return this.getPluginIconURL(author, name);
+  }
+
   public getPluginAssetURL(
     author: string,
     pluginName: string,

web/src/hooks/useDocumentTitle.ts

@@ -0,0 +1,65 @@
+import { useEffect } from 'react';
+import { useLocation } from 'react-router-dom';
+import { useTranslation } from 'react-i18next';
+
+const APP_NAME = 'LangBot';
+
+// Map a route path to the i18n key used for its (type-level) document title.
+// Reuses existing translation keys so titles stay in sync with the sidebar and
+// page headers across all locales. The /home/* section is intentionally NOT
+// listed here: those titles are driven from inside HomeLayout, which has access
+// to the currently-selected sub-entity name (detailEntityName) via context and
+// renders "<entity> · <type> · LangBot".
+const ROUTE_TITLE_KEYS: { match: (path: string) => boolean; key: string }[] = [
+  { match: (p) => p === '/login', key: 'common.login' },
+  { match: (p) => p === '/register', key: 'register.title' },
+  { match: (p) => p === '/reset-password', key: 'resetPassword.title' },
+  { match: (p) => p === '/wizard', key: 'sidebar.quickStart' },
+];
+
+/**
+ * Builds a "<...parts> · LangBot" document title from the given page-name parts,
+ * dropping empties. Falls back to the bare app name when no parts resolve.
+ */
+export function buildDocumentTitle(
+  ...parts: (string | null | undefined)[]
+): string {
+  const clean = parts.filter((p): p is string => !!p && p.trim().length > 0);
+  return clean.length > 0 ? `${clean.join(' · ')} · ${APP_NAME}` : APP_NAME;
+}
+
+/**
+ * Imperatively set the document title. Centralized so the format stays
+ * consistent across the top-level layout and the home layout.
+ */
+export function setDocumentTitle(
+  ...parts: (string | null | undefined)[]
+): void {
+  document.title = buildDocumentTitle(...parts);
+}
+
+/**
+ * Top-level document-title driver for routes OUTSIDE the /home section
+ * (login, register, reset-password, wizard, and any unmapped route). The /home
+ * section manages its own title from HomeLayout so it can include the selected
+ * sub-entity name. Re-runs on navigation and language change so the title stays
+ * localized.
+ */
+export function useDocumentTitle() {
+  const { pathname } = useLocation();
+  const { t, i18n } = useTranslation();
+
+  useEffect(() => {
+    // Home routes are handled by HomeLayout (it has the entity name in context).
+    if (pathname.startsWith('/home')) return;
+
+    const entry = ROUTE_TITLE_KEYS.find((e) => e.match(pathname));
+    if (!entry) {
+      document.title = APP_NAME;
+      return;
+    }
+    const pageName = t(entry.key);
+    // Guard against an unresolved key (t returns the key itself).
+    setDocumentTitle(pageName !== entry.key ? pageName : null);
+  }, [pathname, t, i18n.language]);
+}

web/src/i18n/locales/en-US.ts

@@ -2,7 +2,7 @@ const enUS = {
   sidebar: {
     home: 'Home',
     extensions: 'Extensions',
-    installedPlugins: 'Installed Extensions',
+    installedPlugins: 'Installed',
     pluginMarket: 'Extension Market',
     mcpServers: 'MCP Servers',
     addExtension: 'Add Extension',
@@ -37,6 +37,7 @@ const enUS = {
     helpDocs: 'Get Help',
     featureRequest: 'Feature Request',
     starOnGitHub: 'Star on GitHub',
+    joinDiscord: 'Join our Discord',
     create: 'Create',
     edit: 'Edit',
     delete: 'Delete',
@@ -631,13 +632,16 @@ const enUS = {
   },
   market: {
     searchPlaceholder: 'Search plugins...',
-    searchResults: 'Found {{count}} plugins',
+    searchPlaceholderCount:
-    totalPlugins: 'Total {{count}} plugins',
+      'Search {{count}} extensions, capabilities, or use cases...',
+    searchResults: 'Found {{count}} extensions',
+    totalPlugins: 'Total {{count}} extensions',
     noPlugins: 'No plugins available',
     noResults: 'No relevant plugins found',
     loadingMore: 'Loading more...',
     loading: 'Loading...',
     allLoaded: 'All plugins displayed',
+    allLoadedCount: 'All {{count}} extensions displayed',
     install: 'Install',
     installCard: 'Install {{name}}',
     installConfirm:
@@ -764,6 +768,9 @@ const enUS = {
     toolsFound: 'tools',
     unknownError: 'Unknown error',
     noToolsFound: 'No tools found',
+    tabTools: 'Tools',
+    tabDocs: 'Docs',
+    noReadme: 'No documentation available',
     parseResultFailed: 'Failed to parse test result',
     noResultReturned: 'Test returned no result',
     getTaskFailed: 'Failed to get task status',

web/src/i18n/locales/es-ES.ts

@@ -2,7 +2,7 @@ const esES = {
   sidebar: {
     home: 'Inicio',
     extensions: 'Extensiones',
-    installedPlugins: 'Plugins instalados',
+    installedPlugins: 'Instalados',
     pluginMarket: 'Tienda',
     mcpServers: 'Servidores MCP',
     addExtension: 'Añadir extensión',
@@ -40,6 +40,7 @@ const esES = {
     helpDocs: 'Obtener ayuda',
     featureRequest: 'Solicitar función',
     starOnGitHub: 'Dar estrella en GitHub',
+    joinDiscord: 'Únete a Discord',
     create: 'Crear',
     edit: 'Editar',
     delete: 'Eliminar',
@@ -644,13 +645,16 @@ const esES = {
   },
   market: {
     searchPlaceholder: 'Buscar plugins...',
-    searchResults: 'Se encontraron {{count}} plugins',
+    searchPlaceholderCount:
-    totalPlugins: 'Total {{count}} plugins',
+      'Buscar {{count}} extensiones, capacidades o casos de uso...',
+    searchResults: 'Se encontraron {{count}} extensiones',
+    totalPlugins: 'Total {{count}} extensiones',
     noPlugins: 'No hay plugins disponibles',
     noResults: 'No se encontraron plugins relevantes',
     loadingMore: 'Cargando más...',
     loading: 'Cargando...',
     allLoaded: 'Todos los plugins mostrados',
+    allLoadedCount: 'Se muestran las {{count}} extensiones',
     install: 'Instalar',
     installConfirm:
       '¿Estás seguro de que deseas instalar el plugin "{{name}}" ({{version}})?',
@@ -778,6 +782,9 @@ const esES = {
     toolsFound: 'herramientas',
     unknownError: 'Error desconocido',
     noToolsFound: 'No se encontraron herramientas',
+    tabTools: 'Herramientas',
+    tabDocs: 'Documentación',
+    noReadme: 'No hay documentación disponible',
     parseResultFailed: 'Error al analizar el resultado de la prueba',
     noResultReturned: 'La prueba no devolvió resultados',
     getTaskFailed: 'Error al obtener el estado de la tarea',

web/src/i18n/locales/ja-JP.ts

@@ -2,7 +2,7 @@ const jaJP = {
   sidebar: {
     home: 'ホーム',
     extensions: '拡張機能',
-    installedPlugins: 'インストール済みプラグイン',
+    installedPlugins: 'インストール済み',
     pluginMarket: 'プラグインマーケット',
     mcpServers: 'MCPサーバー',
     addExtension: '拡張機能を追加',
@@ -38,6 +38,7 @@ const jaJP = {
     helpDocs: 'ヘルプドキュメント',
     featureRequest: '機能リクエスト',
     starOnGitHub: 'GitHubでStarする',
+    joinDiscord: 'Discord に参加',
     create: '作成',
     edit: '編集',
     delete: '削除',
@@ -636,13 +637,16 @@ const jaJP = {
   },
   market: {
     searchPlaceholder: 'プラグインを検索...',
-    searchResults: '{{count}} 個のプラグインが見つかりました',
+    searchPlaceholderCount:
-    totalPlugins: '合計 {{count}} 個のプラグイン',
+      '{{count}} 個の拡張機能・機能・ユースケースを検索...',
+    searchResults: '{{count}} 個の拡張機能が見つかりました',
+    totalPlugins: '合計 {{count}} 個の拡張機能',
     noPlugins: '利用可能なプラグインがありません',
     noResults: '関連するプラグインが見つかりません',
     loadingMore: 'さらに読み込み中...',
     loading: '読み込み中...',
     allLoaded: 'すべてのプラグインが表示されました',
+    allLoadedCount: '{{count}} 個の拡張機能をすべて表示しました',
     install: 'インストール',
     installConfirm:
       'プラグイン "{{name}}" ({{version}}) をインストールしますか？',
@@ -769,6 +773,9 @@ const jaJP = {
     toolsFound: '個のツール',
     unknownError: '不明なエラー',
     noToolsFound: 'ツールが見つかりません',
+    tabTools: 'ツール',
+    tabDocs: 'ドキュメント',
+    noReadme: 'ドキュメントがありません',
     parseResultFailed: 'テスト結果の解析に失敗しました',
     noResultReturned: 'テスト結果が返されませんでした',
     getTaskFailed: 'タスクステータスの取得に失敗しました',

web/src/i18n/locales/ru-RU.ts

@@ -2,7 +2,7 @@ const ruRU = {
   sidebar: {
     home: 'Главная',
     extensions: 'Расширения',
-    installedPlugins: 'Установленные плагины',
+    installedPlugins: 'Установленные',
     pluginMarket: 'Маркетплейс',
     mcpServers: 'MCP-серверы',
     addExtension: 'Добавить расширение',
@@ -38,6 +38,7 @@ const ruRU = {
     helpDocs: 'Помощь',
     featureRequest: 'Запрос функции',
     starOnGitHub: 'Поставить звезду на GitHub',
+    joinDiscord: 'Присоединиться к Discord',
     create: 'Создать',
     edit: 'Редактировать',
     delete: 'Удалить',
@@ -642,13 +643,16 @@ const ruRU = {
   },
   market: {
     searchPlaceholder: 'Поиск плагинов...',
-    searchResults: 'Найдено {{count}} плагинов',
+    searchPlaceholderCount:
-    totalPlugins: 'Всего {{count}} плагинов',
+      'Поиск среди {{count}} расширений, возможностей или сценариев...',
+    searchResults: 'Найдено {{count}} расширений',
+    totalPlugins: 'Всего {{count}} расширений',
     noPlugins: 'Нет доступных плагинов',
     noResults: 'Подходящие плагины не найдены',
     loadingMore: 'Загрузка ещё...',
     loading: 'Загрузка...',
     allLoaded: 'Все плагины отображены',
+    allLoadedCount: 'Показаны все {{count}} расширений',
     install: 'Установить',
     installConfirm:
       'Вы уверены, что хотите установить плагин "{{name}}" ({{version}})?',
@@ -774,6 +778,9 @@ const ruRU = {
     toolsFound: 'инструментов',
     unknownError: 'Неизвестная ошибка',
     noToolsFound: 'Инструменты не найдены',
+    tabTools: 'Инструменты',
+    tabDocs: 'Документация',
+    noReadme: 'Документация отсутствует',
     parseResultFailed: 'Не удалось разобрать результат теста',
     noResultReturned: 'Тест не вернул результат',
     getTaskFailed: 'Не удалось получить статус задачи',

web/src/i18n/locales/th-TH.ts

@@ -2,7 +2,7 @@ const thTH = {
   sidebar: {
     home: 'หน้าแรก',
     extensions: 'ส่วนขยาย',
-    installedPlugins: 'ปลั๊กอินที่ติดตั้ง',
+    installedPlugins: 'ที่ติดตั้งแล้ว',
     pluginMarket: 'ตลาดปลั๊กอิน',
     mcpServers: 'เซิร์ฟเวอร์ MCP',
     addExtension: 'เพิ่มส่วนขยาย',
@@ -37,6 +37,7 @@ const thTH = {
     helpDocs: 'ขอความช่วยเหลือ',
     featureRequest: 'ขอฟีเจอร์ใหม่',
     starOnGitHub: 'ให้ดาวบน GitHub',
+    joinDiscord: 'เข้าร่วม Discord',
     create: 'สร้าง',
     edit: 'แก้ไข',
     delete: 'ลบ',
@@ -623,13 +624,16 @@ const thTH = {
   },
   market: {
     searchPlaceholder: 'ค้นหาปลั๊กอิน...',
-    searchResults: 'พบ {{count}} ปลั๊กอิน',
+    searchPlaceholderCount:
-    totalPlugins: 'ทั้งหมด {{count}} ปลั๊กอิน',
+      'ค้นหา {{count}} ส่วนขยาย ความสามารถ หรือกรณีใช้งาน...',
+    searchResults: 'พบ {{count}} ส่วนขยาย',
+    totalPlugins: 'ทั้งหมด {{count}} ส่วนขยาย',
     noPlugins: 'ไม่มีปลั๊กอินที่พร้อมใช้งาน',
     noResults: 'ไม่พบปลั๊กอินที่เกี่ยวข้อง',
     loadingMore: 'กำลังโหลดเพิ่มเติม...',
     loading: 'กำลังโหลด...',
     allLoaded: 'แสดงปลั๊กอินทั้งหมดแล้ว',
+    allLoadedCount: 'แสดงส่วนขยายทั้งหมด {{count}} รายการแล้ว',
     install: 'ติดตั้ง',
     installConfirm:
       'คุณแน่ใจหรือไม่ว่าต้องการติดตั้งปลั๊กอิน "{{name}}" ({{version}})?',
@@ -754,6 +758,9 @@ const thTH = {
     toolsFound: 'เครื่องมือ',
     unknownError: 'ข้อผิดพลาดที่ไม่ทราบสาเหตุ',
     noToolsFound: 'ไม่พบเครื่องมือ',
+    tabTools: 'เครื่องมือ',
+    tabDocs: 'เอกสาร',
+    noReadme: 'ไม่มีเอกสาร',
     parseResultFailed: 'ไม่สามารถแยกวิเคราะห์ผลการทดสอบได้',
     noResultReturned: 'การทดสอบไม่ส่งผลลัพธ์กลับมา',
     getTaskFailed: 'ไม่สามารถดึงสถานะงานได้',

web/src/i18n/locales/vi-VN.ts

@@ -2,7 +2,7 @@ const viVN = {
   sidebar: {
     home: 'Trang chủ',
     extensions: 'Tiện ích mở rộng',
-    installedPlugins: 'Plugin đã cài đặt',
+    installedPlugins: 'Đã cài đặt',
     pluginMarket: 'Chợ ứng dụng',
     mcpServers: 'Máy chủ MCP',
     addExtension: 'Thêm tiện ích mở rộng',
@@ -38,6 +38,7 @@ const viVN = {
     helpDocs: 'Trợ giúp',
     featureRequest: 'Yêu cầu tính năng',
     starOnGitHub: 'Star trên GitHub',
+    joinDiscord: 'Tham gia Discord',
     create: 'Tạo',
     edit: 'Chỉnh sửa',
     delete: 'Xóa',
@@ -637,13 +638,16 @@ const viVN = {
   },
   market: {
     searchPlaceholder: 'Tìm kiếm plugin...',
-    searchResults: 'Tìm thấy {{count}} plugin',
+    searchPlaceholderCount:
-    totalPlugins: 'Tổng cộng {{count}} plugin',
+      'Tìm kiếm {{count}} tiện ích mở rộng, khả năng hoặc tình huống...',
+    searchResults: 'Tìm thấy {{count}} tiện ích mở rộng',
+    totalPlugins: 'Tổng cộng {{count}} tiện ích mở rộng',
     noPlugins: 'Không có plugin nào',
     noResults: 'Không tìm thấy plugin liên quan',
     loadingMore: 'Đang tải thêm...',
     loading: 'Đang tải...',
     allLoaded: 'Đã hiển thị tất cả plugin',
+    allLoadedCount: 'Đã hiển thị tất cả {{count}} tiện ích mở rộng',
     install: 'Cài đặt',
     installConfirm:
       'Bạn có chắc chắn muốn cài đặt plugin "{{name}}" ({{version}}) không?',
@@ -768,6 +772,9 @@ const viVN = {
     toolsFound: 'công cụ',
     unknownError: 'Lỗi không xác định',
     noToolsFound: 'Không tìm thấy công cụ nào',
+    tabTools: 'Công cụ',
+    tabDocs: 'Tài liệu',
+    noReadme: 'Không có tài liệu',
     parseResultFailed: 'Phân tích kết quả kiểm tra thất bại',
     noResultReturned: 'Kiểm tra không trả về kết quả',
     getTaskFailed: 'Lấy trạng thái tác vụ thất bại',

web/src/i18n/locales/zh-Hans.ts

@@ -2,7 +2,7 @@ const zhHans = {
   sidebar: {
     home: '首页',
     extensions: '扩展',
-    installedPlugins: '已安装扩展',
+    installedPlugins: '已安装',
     pluginMarket: '扩展市场',
     mcpServers: 'MCP 服务器',
     addExtension: '添加扩展',
@@ -36,6 +36,7 @@ const zhHans = {
     helpDocs: '帮助文档',
     featureRequest: '需求建议',
     starOnGitHub: '在 GitHub 上 Star',
+    joinDiscord: '加入 Discord 社区',
     create: '创建',
     edit: '编辑',
     delete: '删除',
@@ -605,13 +606,15 @@ const zhHans = {
   },
   market: {
     searchPlaceholder: '搜索插件...',
-    searchResults: '搜索到 {{count}} 个插件',
+    searchPlaceholderCount: '搜索 {{count}} 个扩展、能力或场景...',
-    totalPlugins: '共 {{count}} 个插件',
+    searchResults: '搜索到 {{count}} 个扩展',
+    totalPlugins: '共 {{count}} 个扩展',
     noPlugins: '暂无插件',
     noResults: '未找到相关插件',
     loadingMore: '加载更多...',
     loading: '加载中...',
     allLoaded: '已显示全部插件',
+    allLoadedCount: '已显示全部 {{count}} 个扩展',
     install: '安装',
     installCard: '安装 {{name}}',
     installConfirm: '确定要安装插件 "{{name}}" ({{version}}) 吗？',
@@ -736,6 +739,9 @@ const zhHans = {
     toolsFound: '个工具',
     unknownError: '未知错误',
     noToolsFound: '未找到任何工具',
+    tabTools: '工具',
+    tabDocs: '文档',
+    noReadme: '暂无文档',
     parseResultFailed: '解析测试结果失败',
     noResultReturned: '测试未返回结果',
     getTaskFailed: '获取任务状态失败',

web/src/i18n/locales/zh-Hant.ts

@@ -2,7 +2,7 @@ const zhHant = {
   sidebar: {
     home: '首頁',
     extensions: '擴展',
-    installedPlugins: '已安裝外掛',
+    installedPlugins: '已安裝',
     pluginMarket: '外掛市場',
     mcpServers: 'MCP 伺服器',
     addExtension: '添加擴展',
@@ -36,6 +36,7 @@ const zhHant = {
     helpDocs: '輔助說明',
     featureRequest: '需求建議',
     starOnGitHub: '在 GitHub 上 Star',
+    joinDiscord: '加入 Discord 社群',
     create: '建立',
     edit: '編輯',
     delete: '刪除',
@@ -605,13 +606,15 @@ const zhHant = {
   },
   market: {
     searchPlaceholder: '搜尋插件...',
-    searchResults: '搜尋到 {{count}} 個插件',
+    searchPlaceholderCount: '搜尋 {{count}} 個擴展、能力或場景...',
-    totalPlugins: '共 {{count}} 個插件',
+    searchResults: '搜尋到 {{count}} 個擴展',
+    totalPlugins: '共 {{count}} 個擴展',
     noPlugins: '暫無插件',
     noResults: '未找到相關插件',
     loadingMore: '載入更多...',
     loading: '載入中...',
     allLoaded: '已顯示全部插件',
+    allLoadedCount: '已顯示全部 {{count}} 個擴展',
     install: '安裝',
     installCard: '安裝 {{name}}',
     installConfirm: '確定要安裝插件 "{{name}}" ({{version}}) 嗎？',
@@ -735,6 +738,9 @@ const zhHant = {
     toolsFound: '個工具',
     unknownError: '未知錯誤',
     noToolsFound: '未找到任何工具',
+    tabTools: '工具',
+    tabDocs: '文件',
+    noReadme: '暫無文件',
     parseResultFailed: '解析測試結果失敗',
     noResultReturned: '測試未返回結果',
     getTaskFailed: '獲取任務狀態失敗',

web/src/router.tsx

@@ -25,11 +25,13 @@ import SkillsPage from '@/app/home/skills/page';
 import ErrorPage from '@/components/ErrorPage';
 import BackendUnavailablePage from '@/components/BackendUnavailablePage';
 import PluginPagesPage from '@/app/home/plugin-pages/page';
+import RootLayout from '@/app/RootLayout';
 
 const Loading = () => <div>Loading...</div>;
 
 export const router = createBrowserRouter([
   {
+    element: <RootLayout />,
     errorElement: <ErrorPage />,
     children: [
       {