fix: update langbot-plugin version to 0.3.8

chore: update version to 4.9.6 in pyproject.toml, __init__.py, and uv.lock
2026-06-02 12:05:54 +00:00 · 2026-04-11 17:12:20 +08:00 · 2026-04-11 17:11:09 +08:00 · 2026-04-11 17:08:59 +08:00 · 2026-04-11 17:06:15 +08:00 · 2026-04-10 16:10:13 +08:00
248 changed files with 24125 additions and 10272 deletions
--- a/.github/ISSUE_TEMPLATE/bug-report.yml
+++ b/.github/ISSUE_TEMPLATE/bug-report.yml
@@ -1,5 +1,5 @@
 name: 漏洞反馈
-description: 【供中文用户】报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决，请勿提 issue。容器间网络连接问题，参考文档 https://docs.langbot.app/zh/workshop/network-details.html  
+description: 【供中文用户】报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决，请勿提 issue。容器间网络连接问题，参考文档 https://link.langbot.app/zh/docs/network  
 title: "[Bug]: "
 labels: ["bug?"]
 body:
--- a/.github/ISSUE_TEMPLATE/bug-report_en.yml
+++ b/.github/ISSUE_TEMPLATE/bug-report_en.yml
@@ -1,5 +1,5 @@
 name: Bug report
-description: Report bugs or vulnerabilities using this template. For container network connection issues, refer to the documentation https://docs.langbot.app/en/workshop/network-details.html
+description: Report bugs or vulnerabilities using this template. For container network connection issues, refer to the documentation https://link.langbot.app/en/docs/network
 title: "[Bug]: "
 labels: ["bug?"]
 body:
--- a/.github/workflows/build-release-artifacts.yaml
+++ b/.github/workflows/build-release-artifacts.yaml
@@ -43,10 +43,10 @@ jobs:
        run: |
          cd /tmp/langbot_build_web/web
          npm install
-          npm run build
+          npx vite build
      - name: Package Output
        run: |
-          cp -r /tmp/langbot_build_web/web/out ./web
+          cp -r /tmp/langbot_build_web/web/dist ./web
      - name: Upload Artifact
        uses: actions/upload-artifact@v4
        with:
--- a/.github/workflows/publish-to-pypi.yml
+++ b/.github/workflows/publish-to-pypi.yml
@@ -29,8 +29,8 @@ jobs:
          npm install -g pnpm
          pnpm install
          pnpm build
-          mkdir -p ../src/langbot/web/out
-          cp -r out ../src/langbot/web/
+          mkdir -p ../src/langbot/web/dist
+          cp -r dist ../src/langbot/web/

      - name: Install the latest version of uv
        uses: astral-sh/setup-uv@v6
--- a/.github/workflows/test-migrations.yml
+++ b/.github/workflows/test-migrations.yml
@@ -0,0 +1,171 @@
+name: Test Migrations
+
+on:
+  push:
+    branches:
+      - main
+      - master
+      - dev
+    paths:
+      - 'src/langbot/pkg/persistence/**'
+      - 'src/langbot/pkg/entity/persistence/**'
+  pull_request:
+    types: [opened, synchronize, reopened, ready_for_review]
+    paths:
+      - 'src/langbot/pkg/persistence/**'
+      - 'src/langbot/pkg/entity/persistence/**'
+
+jobs:
+  test-migrations-sqlite:
+    name: Migrations (SQLite)
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
+
+      - name: Install dependencies
+        run: uv sync --dev
+
+      - name: Test Alembic upgrade (SQLite)
+        run: |
+          uv run python -c "
+          import asyncio
+          from sqlalchemy.ext.asyncio import create_async_engine
+          from langbot.pkg.entity.persistence.base import Base
+          from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade, run_alembic_stamp, get_alembic_current
+
+          async def main():
+              engine = create_async_engine('sqlite+aiosqlite:///test_migrations.db')
+
+              # Create all tables (simulates existing DB)
+              async with engine.begin() as conn:
+                  await conn.run_sync(Base.metadata.create_all)
+
+              # Stamp baseline
+              await run_alembic_stamp(engine, '0001_baseline')
+              rev = await get_alembic_current(engine)
+              assert rev == '0001_baseline', f'Expected 0001_baseline, got {rev}'
+              print(f'Stamped: {rev}')
+
+              # Upgrade to head
+              await run_alembic_upgrade(engine, 'head')
+              rev = await get_alembic_current(engine)
+              print(f'After upgrade: {rev}')
+              assert rev is not None, 'Expected a revision after upgrade'
+
+              # Verify idempotent
+              await run_alembic_upgrade(engine, 'head')
+              rev2 = await get_alembic_current(engine)
+              assert rev2 == rev, f'Expected {rev}, got {rev2}'
+              print(f'Idempotent check passed: {rev2}')
+
+              # Fresh DB: upgrade from scratch
+              engine2 = create_async_engine('sqlite+aiosqlite:///test_migrations_fresh.db')
+              async with engine2.begin() as conn:
+                  await conn.run_sync(Base.metadata.create_all)
+              await run_alembic_upgrade(engine2, 'head')
+              rev3 = await get_alembic_current(engine2)
+              print(f'Fresh DB upgrade: {rev3}')
+              assert rev3 is not None
+
+              print('All SQLite migration tests passed!')
+
+          asyncio.run(main())
+          "
+
+  test-migrations-postgres:
+    name: Migrations (PostgreSQL)
+    runs-on: ubuntu-latest
+    services:
+      postgres:
+        image: postgres:16
+        env:
+          POSTGRES_USER: langbot
+          POSTGRES_PASSWORD: langbot
+          POSTGRES_DB: langbot_test
+        ports:
+          - 5432:5432
+        options: >-
+          --health-cmd="pg_isready -U langbot"
+          --health-interval=5s
+          --health-timeout=5s
+          --health-retries=5
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
+
+      - name: Install dependencies
+        run: uv sync --dev
+
+      - name: Test Alembic upgrade (PostgreSQL)
+        run: |
+          uv run python -c "
+          import asyncio
+          from sqlalchemy.ext.asyncio import create_async_engine
+          from langbot.pkg.entity.persistence.base import Base
+          from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade, run_alembic_stamp, get_alembic_current
+
+          DB_URL = 'postgresql+asyncpg://langbot:langbot@localhost:5432/langbot_test'
+
+          async def main():
+              engine = create_async_engine(DB_URL)
+
+              # Create all tables
+              async with engine.begin() as conn:
+                  await conn.run_sync(Base.metadata.create_all)
+
+              # Stamp baseline
+              await run_alembic_stamp(engine, '0001_baseline')
+              rev = await get_alembic_current(engine)
+              assert rev == '0001_baseline', f'Expected 0001_baseline, got {rev}'
+              print(f'Stamped: {rev}')
+
+              # Upgrade to head
+              await run_alembic_upgrade(engine, 'head')
+              rev = await get_alembic_current(engine)
+              print(f'After upgrade: {rev}')
+              assert rev is not None
+
+              # Verify idempotent
+              await run_alembic_upgrade(engine, 'head')
+              rev2 = await get_alembic_current(engine)
+              assert rev2 == rev, f'Expected {rev}, got {rev2}'
+              print(f'Idempotent check passed: {rev2}')
+
+              # Fresh DB: drop all and upgrade from scratch
+              engine2 = create_async_engine(DB_URL.replace('langbot_test', 'langbot_fresh'))
+
+              # Create fresh database
+              from sqlalchemy import text
+              async with engine.connect() as conn:
+                  await conn.execute(text('COMMIT'))
+                  await conn.execute(text('CREATE DATABASE langbot_fresh'))
+
+              async with engine2.begin() as conn:
+                  await conn.run_sync(Base.metadata.create_all)
+              await run_alembic_upgrade(engine2, 'head')
+              rev3 = await get_alembic_current(engine2)
+              print(f'Fresh DB upgrade: {rev3}')
+              assert rev3 is not None
+
+              print('All PostgreSQL migration tests passed!')
+
+          asyncio.run(main())
+          "
--- a/.gitignore
+++ b/.gitignore
@@ -52,3 +52,6 @@ src/langbot/web/
 /dist
 /build
 *.egg-info
+
+# Next.js build cache (legacy)
+web/.next/
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -9,16 +9,14 @@ repos:
      # Run the formatter of backend.
      - id: ruff-format

-  - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v3.1.0
-    hooks:
-      - id: prettier
-        types_or: [javascript, jsx, ts, tsx, css, scss]
-        additional_dependencies:
-          - prettier@3.1.0
-
  - repo: local
    hooks:
+      - id: prettier
+        name: prettier
+        entry: npx --prefix web prettier --write --ignore-unknown
+        language: system
+        types_or: [javascript, jsx, ts, tsx, css, scss]
+
      - id: lint-staged
        name: lint-staged
        entry: cd web && pnpm lint-staged
--- a/4
+++ b/4
@@ -4,7 +4,7 @@ WORKDIR /app

 COPY web ./web

-RUN cd web && npm install && npm run build
+RUN cd web && npm install && npx vite build

 FROM python:3.12.7-slim

@@ -12,7 +12,7 @@ WORKDIR /app

 COPY . .

-COPY --from=node /app/web/out ./web/out
+COPY --from=node /app/web/dist ./web/dist

 RUN apt update \
    && apt install gcc -y \
--- a/README.md
+++ b/README.md
@@ -19,9 +19,9 @@ English / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)

 <a href="https://langbot.app">Website</a> ｜
-<a href="https://docs.langbot.app/en/insight/features">Features</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide">Docs</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme">API</a> ｜
+<a href="https://link.langbot.app/en/docs/features">Features</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">Docs</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
 <a href="https://space.langbot.app/cloud">Cloud</a> ｜
 <a href="https://space.langbot.app">Plugin Market</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">Roadmap</a>
@@ -45,7 +45,7 @@ LangBot is an **open-source, production-grade platform** for building AI-powered
 - **Web Management Panel** — Configure, manage, and monitor your bots through an intuitive browser interface. No YAML editing required.
 - **Multi-Pipeline Architecture** — Different bots for different scenarios, with comprehensive monitoring and exception handling.

-[→ Learn more about all features](https://docs.langbot.app/en/insight/features)
+[→ Learn more about all features](https://link.langbot.app/en/docs/features)

 ---

@@ -76,7 +76,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**More options:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt) · [Kubernetes](./docker/README_K8S.md)
+**More options:** [Docker](https://link.langbot.app/en/docs/docker) · [Manual](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)

 ---

@@ -124,7 +124,7 @@ docker compose up -d
 | [接口 AI](https://jiekou.ai/) | Gateway | ✅ |
 | [302.AI](https://share.302.ai/SuTG99) | Gateway | ✅ |

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

 ---

--- a/README_CN.md
+++ b/README_CN.md
@@ -21,9 +21,9 @@
 [![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)

 <a href="https://langbot.app">官网</a> ｜
-<a href="https://docs.langbot.app/zh/insight/features.html">特性</a> ｜
-<a href="https://docs.langbot.app/zh/insight/guide.html">文档</a> ｜
-<a href="https://docs.langbot.app/zh/tags/readme.html">API</a> ｜
+<a href="https://link.langbot.app/zh/docs/features">特性</a> ｜
+<a href="https://link.langbot.app/zh/docs/guide">文档</a> ｜
+<a href="https://link.langbot.app/zh/docs/api">API</a> ｜
 <a href="https://space.langbot.app/cloud">Cloud</a> ｜
 <a href="https://space.langbot.app">插件市场</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">路线图</a>
@@ -45,7 +45,7 @@ LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时
 - **Web 管理面板** — 通过浏览器直观地配置、管理和监控机器人，无需手动编辑配置文件。
 - **多流水线架构** — 不同机器人用于不同场景，具备全面的监控和异常处理能力。

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

 ---

@@ -76,7 +76,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**更多方式：** [Docker](https://docs.langbot.app/zh/deploy/langbot/docker.html) · [手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [宝塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**更多方式：** [Docker](https://link.langbot.app/zh/docs/docker) · [手动部署](https://link.langbot.app/zh/docs/manual-deploy) · [宝塔面板](https://link.langbot.app/zh/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)

 ---

@@ -125,7 +125,7 @@ docker compose up -d
 | [小马算力](https://www.tokenpony.cn/453z1) | 聚合平台 | ✅ |
 | [百宝箱Tbox](https://www.tbox.cn/open) | 智能体平台 | ✅ |

-[→ 查看完整集成列表](https://docs.langbot.app/zh/insight/features.html)
+[→ 查看完整集成列表](https://link.langbot.app/zh/docs/features)

 ### TTS（语音合成）

--- a/README_ES.md
+++ b/README_ES.md
@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)

 <a href="https://langbot.app">Inicio</a> ｜
-<a href="https://docs.langbot.app/en/insight/features.html">Características</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide.html">Documentación</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
+<a href="https://link.langbot.app/en/docs/features">Características</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">Documentación</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
 <a href="https://space.langbot.app">Mercado de Plugins</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">Hoja de Ruta</a>

@@ -44,7 +44,7 @@ LangBot es una **plataforma de código abierto y grado de producción** para con
 - **Panel de Gestión Web** — Configure, gestione y monitoree sus bots a través de una interfaz de navegador intuitiva. Sin necesidad de editar YAML.
 - **Arquitectura Multi-Pipeline** — Diferentes bots para diferentes escenarios, con monitoreo completo y manejo de excepciones.

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

 ---

@@ -75,7 +75,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Más opciones:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**Más opciones:** [Docker](https://link.langbot.app/en/docs/docker) · [Manual](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)

 ---

@@ -123,7 +123,7 @@ docker compose up -d
 | [接口 AI](https://jiekou.ai/) | Pasarela | ✅ |
 | [302.AI](https://share.302.ai/SuTG99) | Pasarela | ✅ |

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

 ---

--- a/README_FR.md
+++ b/README_FR.md
@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)

 <a href="https://langbot.app">Accueil</a> ｜
-<a href="https://docs.langbot.app/en/insight/features.html">Fonctionnalités</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide.html">Documentation</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
+<a href="https://link.langbot.app/en/docs/features">Fonctionnalités</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">Documentation</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
 <a href="https://space.langbot.app">Marché des Plugins</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">Feuille de Route</a>

@@ -44,7 +44,7 @@ LangBot est une **plateforme open-source de niveau production** pour créer des
 - **Panneau de Gestion Web** — Configurez, gérez et surveillez vos bots via une interface navigateur intuitive. Aucune édition de YAML requise.
 - **Architecture Multi-Pipeline** — Différents bots pour différents scénarios, avec surveillance complète et gestion des exceptions.

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

 ---

@@ -75,7 +75,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Plus d'options :** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manuel](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**Plus d'options :** [Docker](https://link.langbot.app/en/docs/docker) · [Manuel](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)

 ---

@@ -123,7 +123,7 @@ docker compose up -d
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plateforme GPU | ✅ |
 | [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plateforme GPU | ✅ |

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

 ---

--- a/README_JP.md
+++ b/README_JP.md
@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)

 <a href="https://langbot.app">ホーム</a> ｜
-<a href="https://docs.langbot.app/ja/insight/features.html">機能</a> ｜
-<a href="https://docs.langbot.app/ja/insight/guide.html">ドキュメント</a> ｜
-<a href="https://docs.langbot.app/ja/tags/readme.html">API</a> ｜
+<a href="https://link.langbot.app/ja/docs/features">機能</a> ｜
+<a href="https://link.langbot.app/ja/docs/guide">ドキュメント</a> ｜
+<a href="https://link.langbot.app/ja/docs/api">API</a> ｜
 <a href="https://space.langbot.app">プラグインマーケット</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">ロードマップ</a>

@@ -44,7 +44,7 @@ LangBot は、AI搭載のインスタントメッセージングボットを構
 - **Web管理パネル** — 直感的なブラウザインターフェースからボットの設定、管理、監視が可能。YAML編集は不要。
 - **マルチパイプラインアーキテクチャ** — 異なるシナリオに異なるボットを配置し、包括的な監視と例外処理を実現。

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

 ---

@@ -75,7 +75,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**その他:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**その他:** [Docker](https://link.langbot.app/en/docs/docker) · [手動デプロイ](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)

 ---

@@ -123,7 +123,7 @@ docker compose up -d
 | [接口 AI](https://jiekou.ai/) | ゲートウェイ | ✅ |
 | [302.AI](https://share.302.ai/SuTG99) | ゲートウェイ | ✅ |

-[→ すべての統合を表示](https://docs.langbot.app/en/insight/features.html)
+[→ すべての統合を表示](https://link.langbot.app/en/docs/features)

 ---

--- a/README_KO.md
+++ b/README_KO.md
@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)

 <a href="https://langbot.app">홈</a> ｜
-<a href="https://docs.langbot.app/en/insight/features.html">기능</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide.html">문서</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
+<a href="https://link.langbot.app/en/docs/features">기능</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">문서</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
 <a href="https://space.langbot.app">플러그인 마켓</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">로드맵</a>

@@ -44,7 +44,7 @@ LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈
 - **웹 관리 패널** — 직관적인 브라우저 인터페이스로 봇을 구성, 관리 및 모니터링. YAML 편집 불필요.
 - **멀티 파이프라인 아키텍처** — 다양한 시나리오에 맞는 다양한 봇 구성, 종합 모니터링 및 예외 처리.

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

 ---

@@ -75,7 +75,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**더 많은 옵션:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [수동 배포](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**더 많은 옵션:** [Docker](https://link.langbot.app/en/docs/docker) · [수동 배포](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)

 ---

@@ -123,7 +123,7 @@ docker compose up -d
 | [接口 AI](https://jiekou.ai/) | 게이트웨이 | ✅ |
 | [302.AI](https://share.302.ai/SuTG99) | 게이트웨이 | ✅ |

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

 ---

--- a/README_RU.md
+++ b/README_RU.md
@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)

 <a href="https://langbot.app">Главная</a> ｜
-<a href="https://docs.langbot.app/en/insight/features.html">Возможности</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide.html">Документация</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
+<a href="https://link.langbot.app/en/docs/features">Возможности</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">Документация</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
 <a href="https://space.langbot.app">Магазин плагинов</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">Дорожная карта</a>

@@ -44,7 +44,7 @@ LangBot — это **платформа с открытым исходным к
 - **Веб-панель управления** — Настраивайте, управляйте и мониторьте ваших ботов через интуитивный браузерный интерфейс. Ручное редактирование YAML не требуется.
 - **Мультиконвейерная архитектура** — Разные боты для разных сценариев с комплексным мониторингом и обработкой исключений.

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

 ---

@@ -75,7 +75,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Другие варианты:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Ручная установка](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**Другие варианты:** [Docker](https://link.langbot.app/en/docs/docker) · [Ручная установка](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)

 ---

@@ -123,7 +123,7 @@ docker compose up -d
 | [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Платформа GPU | ✅ |
 | [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Платформа GPU | ✅ |

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

 ---

--- a/README_TW.md
+++ b/README_TW.md
@@ -21,9 +21,9 @@
 [![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)

 <a href="https://langbot.app">官網</a> ｜
-<a href="https://docs.langbot.app/zh/insight/features.html">特性</a> ｜
-<a href="https://docs.langbot.app/zh/insight/guide.html">文件</a> ｜
-<a href="https://docs.langbot.app/zh/tags/readme.html">API</a> ｜
+<a href="https://link.langbot.app/zh/docs/features">特性</a> ｜
+<a href="https://link.langbot.app/zh/docs/guide">文件</a> ｜
+<a href="https://link.langbot.app/zh/docs/api">API</a> ｜
 <a href="https://space.langbot.app">外掛市場</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">路線圖</a>

@@ -46,7 +46,7 @@ LangBot 是一個**開源的生產級平台**，用於建構 AI 驅動的即時
 - **Web 管理面板** — 透過瀏覽器直觀地配置、管理和監控機器人，無需手動編輯設定檔。
 - **多流水線架構** — 不同機器人用於不同場景，具備全面的監控和異常處理能力。

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

 ---

@@ -77,7 +77,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**更多方式：** [Docker](https://docs.langbot.app/zh/deploy/langbot/docker.html) · [手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [寶塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**更多方式：** [Docker](https://link.langbot.app/zh/docs/docker) · [手動部署](https://link.langbot.app/zh/docs/manual-deploy) · [寶塔面板](https://link.langbot.app/zh/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)

 ---

@@ -139,7 +139,7 @@ docker compose up -d
 |-----------|------|
 | 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin) |

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

 ---

--- a/README_VI.md
+++ b/README_VI.md
@@ -19,9 +19,9 @@
 [![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)

 <a href="https://langbot.app">Trang chủ</a> ｜
-<a href="https://docs.langbot.app/en/insight/features.html">Tính năng</a> ｜
-<a href="https://docs.langbot.app/en/insight/guide.html">Tài liệu</a> ｜
-<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
+<a href="https://link.langbot.app/en/docs/features">Tính năng</a> ｜
+<a href="https://link.langbot.app/en/docs/guide">Tài liệu</a> ｜
+<a href="https://link.langbot.app/en/docs/api">API</a> ｜
 <a href="https://space.langbot.app">Chợ Plugin</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">Lộ trình</a>

@@ -44,7 +44,7 @@ LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để x
 - **Bảng quản lý Web** — Cấu hình, quản lý và giám sát bot thông qua giao diện trình duyệt trực quan. Không cần chỉnh sửa YAML.
 - **Kiến trúc đa Pipeline** — Các bot khác nhau cho các kịch bản khác nhau, với giám sát toàn diện và xử lý ngoại lệ.

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

 ---

@@ -75,7 +75,7 @@ docker compose up -d
 [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
 [![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)

-**Thêm tùy chọn:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Thủ công](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+**Thêm tùy chọn:** [Docker](https://link.langbot.app/en/docs/docker) · [Thủ công](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)

 ---

@@ -123,7 +123,7 @@ docker compose up -d
 | [接口 AI](https://jiekou.ai/) | Cổng | ✅ |
 | [302.AI](https://share.302.ai/SuTG99) | Cổng | ✅ |

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

 ---

--- a/docker/README_K8S.md
+++ b/docker/README_K8S.md
@@ -312,7 +312,7 @@ spec:
 ### 参考资源

 - [LangBot 官方文档](https://docs.langbot.app)
- [Docker 部署文档](https://docs.langbot.app/zh/deploy/langbot/docker.html)
+- [Docker 部署文档](https://link.langbot.app/zh/docs/docker)
 - [Kubernetes 官方文档](https://kubernetes.io/docs/)

 ---
@@ -625,5 +625,5 @@ spec:
 ### References

 - [LangBot Official Documentation](https://docs.langbot.app)
- [Docker Deployment Guide](https://docs.langbot.app/zh/deploy/langbot/docker.html)
+- [Docker Deployment Guide](https://link.langbot.app/zh/docs/docker)
 - [Kubernetes Official Documentation](https://kubernetes.io/docs/)
--- a/docker/docker-compose.yaml
+++ b/docker/docker-compose.yaml
@@ -34,4 +34,4 @@ services:

 networks:
  langbot_network:
-    driver: bridge
+    driver: bridge
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.9.4"
+version = "4.9.6"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -39,6 +39,7 @@ dependencies = [
    "quart-cors>=0.8.0",
    "requests>=2.32.3",
    "slack-sdk>=3.35.0",
+    "alembic>=1.15.0",
    "sqlalchemy[asyncio]>=2.0.40",
    "sqlmodel>=0.0.24",
    "telegramify-markdown>=0.5.1",
@@ -64,7 +65,7 @@ dependencies = [
    "chromadb>=1.0.0,<2.0.0",
    "qdrant-client (>=1.15.1,<2.0.0)",
    "pyseekdb==1.1.0.post3",
-    "langbot-plugin==0.3.5",
+    "langbot-plugin==0.3.8",
    "asyncpg>=0.30.0",
    "line-bot-sdk>=3.19.0",
    "tboxsdk>=0.0.10",
@@ -111,7 +112,7 @@ requires = ["setuptools>=61.0", "wheel"]
 build-backend = "setuptools.build_meta"

 [tool.setuptools]
-package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/out/**"] }
+package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/dist/**", "pkg/persistence/alembic/**"] }

 [dependency-groups]
 dev = [
--- a/src/langbot/init.py
+++ b/src/langbot/init.py
@@ -1,3 +1,3 @@
 """LangBot - Production-grade platform for building agentic IM bots"""

-__version__ = '4.9.4'
+__version__ = '4.9.6'
--- a/src/langbot/libs/dingtalk_api/api.py
+++ b/src/langbot/libs/dingtalk_api/api.py
@@ -182,6 +182,88 @@ class DingTalkClient:
            for handler in self._message_handlers[msg_type]:
                await handler(event)

+    async def _parse_quoted_message(self, replied_msg: dict) -> dict:
+        """Parse the quoted/replied message and extract its content.
+
+        Args:
+            replied_msg: The repliedMsg object from DingTalk message
+
+        Returns:
+            A dict containing the quoted message info with keys:
+            - message_id: The original message ID
+            - msg_type: The message type (text, file, picture, audio, etc.)
+            - content: The text content (if any)
+            - file_url: The file download URL (if file type)
+            - file_name: The file name (if file type)
+            - picture: The picture base64 (if picture type)
+            - audio: The audio base64 (if audio type)
+        """
+        quote_info = {
+            'message_id': replied_msg.get('msgId', ''),
+            'msg_type': replied_msg.get('msgType', ''),
+            'sender_id': replied_msg.get('senderId', ''),
+        }
+
+        msg_type = replied_msg.get('msgType', '')
+        content = replied_msg.get('content', {})
+
+        # Handle content as string (JSON) or dict
+        if isinstance(content, str):
+            try:
+                content = json.loads(content)
+            except (json.JSONDecodeError, TypeError):
+                content = {}
+
+        if msg_type == 'text':
+            # Text message
+            if isinstance(content, dict):
+                quote_info['content'] = content.get('content', '')
+            else:
+                quote_info['content'] = str(content)
+
+        elif msg_type == 'file':
+            # File message
+            download_code = content.get('downloadCode')
+            file_name = content.get('fileName')
+            if download_code and file_name:
+                try:
+                    quote_info['file_url'] = await self.get_file_url(download_code)
+                    quote_info['file_name'] = file_name
+                except Exception as e:
+                    if self.logger:
+                        await self.logger.error(f'Failed to get quoted file URL: {e}')
+
+        elif msg_type == 'picture':
+            # Picture message
+            download_code = content.get('downloadCode')
+            if download_code:
+                try:
+                    quote_info['picture'] = await self.download_image(download_code)
+                except Exception as e:
+                    if self.logger:
+                        await self.logger.error(f'Failed to download quoted image: {e}')
+
+        elif msg_type == 'audio':
+            # Audio message
+            download_code = content.get('downloadCode')
+            if download_code:
+                try:
+                    quote_info['audio'] = await self.get_audio_url(download_code)
+                except Exception as e:
+                    if self.logger:
+                        await self.logger.error(f'Failed to get quoted audio: {e}')
+
+        elif msg_type == 'richText':
+            # Rich text message - extract text content
+            rich_text = content.get('richText', [])
+            texts = []
+            for item in rich_text:
+                if 'text' in item and item['text'] != '\n':
+                    texts.append(item['text'])
+            quote_info['content'] = '\n'.join(texts)
+
+        return quote_info
+
    async def get_message(self, incoming_message: dingtalk_stream.chatbot.ChatbotMessage):
        try:
            # print(json.dumps(incoming_message.to_dict(), indent=4, ensure_ascii=False))
@@ -193,6 +275,15 @@ class DingTalkClient:
            elif str(incoming_message.conversation_type) == '2':
                message_data['conversation_type'] = 'GroupMessage'

+            # Check for quoted/replied message
+            raw_data = incoming_message.to_dict()
+            text_data = raw_data.get('text', {})
+            if isinstance(text_data, dict) and text_data.get('isReplyMsg'):
+                replied_msg = text_data.get('repliedMsg', {})
+                if replied_msg:
+                    quote_info = await self._parse_quoted_message(replied_msg)
+                    message_data['QuotedMessage'] = quote_info
+
            if incoming_message.message_type == 'richText':
                data = incoming_message.rich_text_content.to_dict()

@@ -268,19 +359,52 @@ class DingTalkClient:

                message_data['Type'] = 'image'
            elif incoming_message.message_type == 'audio':
-                message_data['Audio'] = await self.get_audio_url(incoming_message.to_dict()['content']['downloadCode'])
+                raw_content = incoming_message.to_dict().get('content', {})
+                # 兼容处理：如果 content 仍为 JSON 字符串则进行解析
+                if isinstance(raw_content, str):
+                    try:
+                        raw_content = json.loads(raw_content)
+                    except (json.JSONDecodeError, TypeError):
+                        raw_content = {}
+
+                if self.logger:
+                    await self.logger.info(f'DingTalk audio raw content: {json.dumps(raw_content, ensure_ascii=False)}')
+
+                # 提取钉钉自带的语音转写文字（Powered by Qwen）
+                recognition = raw_content.get('recognition', '')
+                if recognition:
+                    message_data['Content'] = recognition
+
+                download_code = raw_content.get('downloadCode')
+                if download_code:
+                    message_data['Audio'] = await self.get_audio_url(download_code)

                message_data['Type'] = 'audio'
            elif incoming_message.message_type == 'file':
-                down_list = incoming_message.get_down_list()
-                if len(down_list) >= 2:
-                    message_data['File'] = await self.get_file_url(down_list[0])
-                    message_data['Name'] = down_list[1]
+                # 获取原始数据字典并提取嵌套的文件信息
+                raw_data = incoming_message.to_dict()
+                file_info = raw_data.get('content', {})
+
+                # 兼容处理：如果 content 仍为 JSON 字符串则进行解析
+                if isinstance(file_info, str):
+                    try:
+                        file_info = json.loads(file_info)
+                    except (json.JSONDecodeError, TypeError):
+                        file_info = {}
+
+                download_code = file_info.get('downloadCode')
+                file_name = file_info.get('fileName')
+
+                if download_code and file_name:
+                    # 转换 downloadCode 为可下载的真实 URL
+                    message_data['File'] = await self.get_file_url(download_code)
+                    message_data['Name'] = file_name
                else:
                    if self.logger:
-                        await self.logger.error(f'get_down_list() returned fewer than 2 elements: {down_list}')
+                        await self.logger.error(f'Failed to extract file info from message content: {file_info}')
                    message_data['File'] = None
                    message_data['Name'] = None
+
                message_data['Type'] = 'file'

            copy_message_data = message_data.copy()
--- a/src/langbot/libs/dingtalk_api/dingtalkevent.py
+++ b/src/langbot/libs/dingtalk_api/dingtalkevent.py
@@ -47,6 +47,22 @@ class DingTalkEvent(dict):
    def conversation(self):
        return self.get('conversation_type', '')

+    @property
+    def quoted_message(self) -> Optional[Dict[str, Any]]:
+        """Get the quoted/replied message info if this is a reply message.
+
+        Returns:
+            A dict containing:
+            - message_id: The original message ID
+            - msg_type: The message type (text, file, picture, audio, etc.)
+            - content: The text content (if any)
+            - file_url: The file download URL (if file type)
+            - file_name: The file name (if file type)
+            - picture: The picture base64 (if picture type)
+            - audio: The audio base64 (if audio type)
+        """
+        return self.get('QuotedMessage')
+
    def __getattr__(self, key: str) -> Optional[Any]:
        """
        允许通过属性访问数据中的任意字段。
--- a/src/langbot/libs/wecom_ai_bot_api/api.py
+++ b/src/langbot/libs/wecom_ai_bot_api/api.py
@@ -6,7 +6,8 @@ import traceback
 import uuid
 import xml.etree.ElementTree as ET
 from dataclasses import dataclass, field
-from typing import Any, Callable, Optional
+import re
+from typing import Any, Callable, Optional, Tuple
 from urllib.parse import unquote

 import httpx
@@ -63,6 +64,9 @@ class StreamSession:
    # 缓存最近一次片段，处理重试或超时兜底
    last_chunk: Optional[StreamChunk] = None

+    # 反馈 ID，用于接收用户点赞/点踩反馈
+    feedback_id: Optional[str] = None
+

 class StreamSessionManager:
    """管理 stream 会话的生命周期，并负责队列的生产消费。"""
@@ -73,6 +77,7 @@ class StreamSessionManager:
        self.ttl = ttl  # 超时时间（秒），超过该时间未被访问的会话会被清理由 cleanup
        self._sessions: dict[str, StreamSession] = {}  # stream_id -> StreamSession 映射
        self._msg_index: dict[str, str] = {}  # msgid -> stream_id 映射，便于流水线根据消息 ID 找到会话
+        self._feedback_index: dict[str, str] = {}  # feedback_id -> stream_id 映射

    def get_stream_id_by_msg(self, msg_id: str) -> Optional[str]:
        if not msg_id:
@@ -82,6 +87,32 @@ class StreamSessionManager:
    def get_session(self, stream_id: str) -> Optional[StreamSession]:
        return self._sessions.get(stream_id)

+    def get_session_by_feedback_id(self, feedback_id: str) -> Optional[StreamSession]:
+        """根据 feedback_id 查找会话。
+
+        Args:
+            feedback_id: 企业微信反馈事件中的反馈 ID。
+
+        Returns:
+            Optional[StreamSession]: 找到的会话实例，未找到返回 None。
+        """
+        if not feedback_id:
+            return None
+        stream_id = self._feedback_index.get(feedback_id)
+        if stream_id:
+            return self._sessions.get(stream_id)
+        return None
+
+    def register_feedback_id(self, stream_id: str, feedback_id: str) -> None:
+        """注册 feedback_id 与 stream_id 的映射。
+
+        Args:
+            stream_id: 企业微信流式会话 ID。
+            feedback_id: 反馈 ID。
+        """
+        if feedback_id and stream_id:
+            self._feedback_index[feedback_id] = stream_id
+
    def create_or_get(self, msg_json: dict[str, Any]) -> tuple[StreamSession, bool]:
        """根据企业微信回调创建或获取会话。

@@ -197,54 +228,144 @@ class StreamSessionManager:
            msg_id = session.msg_id
            if msg_id and self._msg_index.get(msg_id) == stream_id:
                self._msg_index.pop(msg_id, None)
+            # Clean up feedback index for expired sessions
+            if session.feedback_id:
+                self._feedback_index.pop(session.feedback_id, None)


-async def download_encrypted_file(download_url: str, encoding_aes_key: str, logger: EventLogger) -> Optional[str]:
-    """Download an AES-encrypted file from WeChat Work and return as data URI.
+def _decrypt_file(encrypted_data: bytes, aes_key_str: str) -> bytes:
+    """Decrypt AES-256-CBC encrypted file data.
+
+    Aligned with the official WeCom AI Bot Python SDK (crypto_utils.py).

    Args:
-        download_url: The encrypted file download URL.
-        encoding_aes_key: The AES key used for decryption (base64-encoded, without trailing '=').
-        logger: Logger instance.
+        encrypted_data: The raw encrypted bytes.
+        aes_key_str: Base64-encoded AES key (may lack padding).

    Returns:
-        A data URI string (e.g. 'data:image/jpeg;base64,...') or None on failure.
+        Decrypted bytes with PKCS#7 padding removed.
    """
-    if not download_url:
-        return None
-    async with httpx.AsyncClient() as client:
-        response = await client.get(download_url)
-        if response.status_code != 200:
-            await logger.error(f'failed to get file: {response.text}')
-            return None
-        encrypted_bytes = response.content
+    if not encrypted_data:
+        raise ValueError('encrypted_data is empty')
+    if not aes_key_str:
+        raise ValueError('aes_key is empty')

-    aes_key = base64.b64decode(encoding_aes_key + '=')
-    iv = aes_key[:16]
+    # Python's base64.b64decode requires proper padding (length % 4 == 0).
+    # Node.js Buffer.from tolerates missing '=', so we must pad manually.
+    remainder = len(aes_key_str) % 4
+    if remainder != 0:
+        aes_key_str = aes_key_str + '=' * (4 - remainder)
+    key = base64.b64decode(aes_key_str)

-    cipher = AES.new(aes_key, AES.MODE_CBC, iv)
-    decrypted = cipher.decrypt(encrypted_bytes)
+    iv = key[:16]
+
+    cipher = AES.new(key, AES.MODE_CBC, iv)
+
+    # Ensure encrypted data is aligned to AES block size (16 bytes).
+    # Node.js setAutoPadding(false) silently handles unaligned data,
+    # but PyCryptodome will raise an error.
+    block_size = 16
+    data_remainder = len(encrypted_data) % block_size
+    if data_remainder != 0:
+        encrypted_data = encrypted_data + b'\x00' * (block_size - data_remainder)
+
+    decrypted = cipher.decrypt(encrypted_data)
+
+    # Remove PKCS#7 padding with validation
+    if len(decrypted) == 0:
+        raise ValueError('Decrypted data is empty')

    pad_len = decrypted[-1]
-    decrypted = decrypted[:-pad_len]
+    if pad_len < 1 or pad_len > 32 or pad_len > len(decrypted):
+        raise ValueError(f'Invalid PKCS#7 padding value: {pad_len}')

-    if decrypted.startswith(b'\xff\xd8'):
+    # Verify all padding bytes are consistent
+    for i in range(len(decrypted) - pad_len, len(decrypted)):
+        if decrypted[i] != pad_len:
+            raise ValueError('Invalid PKCS#7 padding: padding bytes mismatch')
+
+    return decrypted[: len(decrypted) - pad_len]
+
+
+def _extract_filename(content_disposition: str) -> Optional[str]:
+    """Extract filename from a Content-Disposition header value."""
+    if not content_disposition:
+        return None
+    # RFC 5987: filename*=UTF-8''xxx
+    utf8_match = re.search(r"filename\*=UTF-8''([^;\s]+)", content_disposition, re.IGNORECASE)
+    if utf8_match:
+        return unquote(utf8_match.group(1))
+    # Standard: filename="xxx" or filename=xxx
+    match = re.search(r'filename="?([^";\s]+)"?', content_disposition, re.IGNORECASE)
+    if match:
+        return unquote(match.group(1))
+    return None
+
+
+def _bytes_to_data_uri(data: bytes) -> str:
+    """Convert raw bytes to a data URI with auto-detected MIME type."""
+    if data.startswith(b'\xff\xd8'):
        mime_type = 'image/jpeg'
-    elif decrypted.startswith(b'\x89PNG'):
+    elif data.startswith(b'\x89PNG'):
        mime_type = 'image/png'
-    elif decrypted.startswith((b'GIF87a', b'GIF89a')):
+    elif data.startswith((b'GIF87a', b'GIF89a')):
        mime_type = 'image/gif'
-    elif decrypted.startswith(b'BM'):
+    elif data.startswith(b'BM'):
        mime_type = 'image/bmp'
-    elif decrypted.startswith(b'II*\x00') or decrypted.startswith(b'MM\x00*'):
+    elif data.startswith(b'II*\x00') or data.startswith(b'MM\x00*'):
        mime_type = 'image/tiff'
+    elif data[:4] == b'%PDF':
+        mime_type = 'application/pdf'
+    elif data[:4] == b'PK\x03\x04':
+        mime_type = 'application/zip'
    else:
        mime_type = 'application/octet-stream'

-    base64_str = base64.b64encode(decrypted).decode('utf-8')
+    base64_str = base64.b64encode(data).decode('utf-8')
    return f'data:{mime_type};base64,{base64_str}'


+async def download_encrypted_file(
+    download_url: str, aes_key: str, logger: EventLogger
+) -> Tuple[Optional[bytes], Optional[str]]:
+    """Download an AES-encrypted file from WeChat Work and decrypt it.
+
+    Args:
+        download_url: The encrypted file download URL.
+        aes_key: The AES key for decryption (base64-encoded, per-message aeskey
+                 or platform EncodingAESKey).
+        logger: Logger instance.
+
+    Returns:
+        A tuple of (decrypted_bytes, filename) or (None, None) on failure.
+    """
+    if not download_url:
+        return None, None
+    if not aes_key:
+        await logger.error('download_encrypted_file: aes_key is empty, cannot decrypt')
+        return None, None
+
+    filename: Optional[str] = None
+    try:
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.get(download_url)
+            if response.status_code != 200:
+                await logger.error(f'Failed to download file (HTTP {response.status_code}): {response.text[:200]}')
+                return None, None
+            encrypted_bytes = response.content
+            filename = _extract_filename(response.headers.get('content-disposition', ''))
+    except Exception:
+        await logger.error(f'Failed to download file: {traceback.format_exc()}')
+        return None, None
+
+    try:
+        decrypted = _decrypt_file(encrypted_bytes, aes_key)
+        return decrypted, filename
+    except Exception:
+        await logger.error(f'Failed to decrypt file: {traceback.format_exc()}')
+        return None, None
+
+
 async def parse_wecom_bot_message(
    msg_json: dict[str, Any], encoding_aes_key: str, logger: EventLogger
 ) -> dict[str, Any]:
@@ -273,10 +394,22 @@ async def parse_wecom_bot_message(

    max_inline_file_size = 5 * 1024 * 1024

-    async def _safe_download(url: str):
+    async def _safe_download(url: str, per_msg_aeskey: str = '') -> Tuple[Optional[bytes], Optional[str]]:
+        """Download and decrypt a file, preferring per-message aeskey over platform key."""
        if not url:
-            return None
-        return await download_encrypted_file(url, encoding_aes_key, logger)
+            return None, None
+        key = per_msg_aeskey or encoding_aes_key
+        if not key:
+            await logger.warning('No AES key available for file decryption, skipping download')
+            return None, None
+        return await download_encrypted_file(url, key, logger)
+
+    async def _safe_download_as_data_uri(url: str, per_msg_aeskey: str = '') -> Optional[str]:
+        """Download, decrypt, and convert to data URI for backward compatibility."""
+        data, _filename = await _safe_download(url, per_msg_aeskey)
+        if data:
+            return _bytes_to_data_uri(data)
+        return None

    if msg_type == 'text':
        message_data['content'] = msg_json.get('text', {}).get('content')
@@ -285,14 +418,17 @@ async def parse_wecom_bot_message(
            'content', ''
        )
    elif msg_type == 'image':
-        picurl = msg_json.get('image', {}).get('url', '')
-        base64_data = await _safe_download(picurl)
+        image_info = msg_json.get('image', {})
+        picurl = image_info.get('url', '')
+        per_msg_aeskey = image_info.get('aeskey', '')
+        base64_data = await _safe_download_as_data_uri(picurl, per_msg_aeskey)
        if base64_data:
            message_data['picurl'] = base64_data
            message_data['images'] = [base64_data]
    elif msg_type == 'voice':
        voice_info = msg_json.get('voice', {}) or {}
        download_url = voice_info.get('url')
+        per_msg_aeskey = voice_info.get('aeskey', '')
        message_data['voice'] = {
            'url': download_url,
            'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
@@ -301,13 +437,14 @@ async def parse_wecom_bot_message(
        }
        if voice_info.get('content'):
            message_data['content'] = voice_info.get('content')
-        if (message_data['voice'].get('filesize') or 0) <= max_inline_file_size:
-            voice_base64 = await _safe_download(download_url)
-            if voice_base64:
-                message_data['voice']['base64'] = voice_base64
+        # if (message_data['voice'].get('filesize') or 0) <= max_inline_file_size:
+        #     voice_base64 = await _safe_download_as_data_uri(download_url, per_msg_aeskey)
+        #     if voice_base64:
+        #         message_data['voice']['base64'] = voice_base64
    elif msg_type == 'video':
        video_info = msg_json.get('video', {}) or {}
        download_url = video_info.get('url')
+        per_msg_aeskey = video_info.get('aeskey', '')
        video_data = {
            'url': download_url,
            'filesize': video_info.get('filesize') or video_info.get('size'),
@@ -315,14 +452,17 @@ async def parse_wecom_bot_message(
            'md5sum': video_info.get('md5sum') or video_info.get('md5'),
            'filename': video_info.get('filename') or video_info.get('name'),
        }
-        if (video_data.get('filesize') or 0) <= max_inline_file_size:
-            video_base64 = await _safe_download(download_url)
-            if video_base64:
-                video_data['base64'] = video_base64
+        # if (video_data.get('filesize') or 0) <= max_inline_file_size:
+        #     video_base64 = await _safe_download_as_data_uri(download_url, per_msg_aeskey)
+        #     if video_base64:
+        #         video_data['base64'] = video_base64
+        # 应为需要解密，但是目前暂时不能下载到内部进行解密，所以先将下载链接拼接aeskey返回给用户，由插件去处理该链接的下载和解密逻辑
+        video_data['download_url'] = download_url + f'?aeskey={per_msg_aeskey}'
        message_data['video'] = video_data
    elif msg_type == 'file':
        file_info = msg_json.get('file', {}) or {}
        download_url = file_info.get('url') or file_info.get('fileurl')
+        per_msg_aeskey = file_info.get('aeskey', '')
        file_data = {
            'filename': file_info.get('filename') or file_info.get('name'),
            'filesize': file_info.get('filesize') or file_info.get('size'),
@@ -331,10 +471,15 @@ async def parse_wecom_bot_message(
            'download_url': download_url,
            'extra': file_info,
        }
-        if (file_data.get('filesize') or 0) <= max_inline_file_size:
-            file_base64 = await _safe_download(download_url)
-            if file_base64:
-                file_data['base64'] = file_base64
+        # if (file_data.get('filesize') or 0) <= max_inline_file_size:
+        #     file_bytes, dl_filename = await _safe_download(download_url, per_msg_aeskey)
+        #     if file_bytes:
+        #         file_data['base64'] = _bytes_to_data_uri(file_bytes)
+        #         if dl_filename and not file_data.get('filename'):
+        #             file_data['filename'] = dl_filename
+
+        # 应为需要解密，但是目前暂时不能下载到内部进行解密，所以先将下载链接拼接aeskey返回给用户，由插件去处理该链接的下载和解密逻辑
+        file_data['download_url'] = download_url + f'?aeskey={per_msg_aeskey}'
        message_data['file'] = file_data
    elif msg_type == 'link':
        message_data['link'] = msg_json.get('link', {})
@@ -355,13 +500,16 @@ async def parse_wecom_bot_message(
            if item_type == 'text':
                texts.append(item.get('text', {}).get('content', ''))
            elif item_type == 'image':
-                img_url = item.get('image', {}).get('url')
-                base64_data = await _safe_download(img_url)
+                img_info = item.get('image', {})
+                img_url = img_info.get('url')
+                img_aeskey = img_info.get('aeskey', '')
+                base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
                if base64_data:
                    images.append(base64_data)
            elif item_type == 'file':
                file_info = item.get('file', {}) or {}
                download_url = file_info.get('url') or file_info.get('fileurl')
+                item_aeskey = file_info.get('aeskey', '')
                file_data = {
                    'filename': file_info.get('filename') or file_info.get('name'),
                    'filesize': file_info.get('filesize') or file_info.get('size'),
@@ -371,13 +519,16 @@ async def parse_wecom_bot_message(
                    'extra': file_info,
                }
                if (file_data.get('filesize') or 0) <= max_inline_file_size:
-                    file_base64 = await _safe_download(download_url)
-                    if file_base64:
-                        file_data['base64'] = file_base64
+                    file_bytes, dl_filename = await _safe_download(download_url, item_aeskey)
+                    if file_bytes:
+                        file_data['base64'] = _bytes_to_data_uri(file_bytes)
+                        if dl_filename and not file_data.get('filename'):
+                            file_data['filename'] = dl_filename
                files.append(file_data)
            elif item_type == 'voice':
                voice_info = item.get('voice', {}) or {}
                download_url = voice_info.get('url')
+                item_aeskey = voice_info.get('aeskey', '')
                voice_data = {
                    'url': download_url,
                    'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
@@ -387,13 +538,14 @@ async def parse_wecom_bot_message(
                if voice_info.get('content'):
                    texts.append(voice_info.get('content'))
                if (voice_data.get('filesize') or 0) <= max_inline_file_size:
-                    voice_base64 = await _safe_download(download_url)
+                    voice_base64 = await _safe_download_as_data_uri(download_url, item_aeskey)
                    if voice_base64:
                        voice_data['base64'] = voice_base64
                voices.append(voice_data)
            elif item_type == 'video':
                video_info = item.get('video', {}) or {}
                download_url = video_info.get('url')
+                item_aeskey = video_info.get('aeskey', '')
                video_data = {
                    'url': download_url,
                    'filesize': video_info.get('filesize') or video_info.get('size'),
@@ -402,7 +554,7 @@ async def parse_wecom_bot_message(
                    'filename': video_info.get('filename') or video_info.get('name'),
                }
                if (video_data.get('filesize') or 0) <= max_inline_file_size:
-                    video_base64 = await _safe_download(download_url)
+                    video_base64 = await _safe_download_as_data_uri(download_url, item_aeskey)
                    if video_base64:
                        video_data['base64'] = video_base64
                videos.append(video_data)
@@ -443,6 +595,120 @@ async def parse_wecom_bot_message(
    if msg_json.get('aibotid'):
        message_data['aibotid'] = msg_json.get('aibotid', '')

+    # Handle quote (referenced message) - important for group chat file references
+    quote_info = msg_json.get('quote')
+    if quote_info:
+        quote_data: dict[str, Any] = {}
+        quote_type = quote_info.get('msgtype', '')
+        quote_data['msgtype'] = quote_type
+
+        if quote_type == 'text':
+            quote_data['content'] = quote_info.get('text', {}).get('content', '')
+        elif quote_type == 'image':
+            img_info = quote_info.get('image', {})
+            img_url = img_info.get('url', '')
+            img_aeskey = img_info.get('aeskey', '')
+            base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
+            if base64_data:
+                quote_data['picurl'] = base64_data
+                quote_data['images'] = [base64_data]
+        elif quote_type == 'file':
+            file_info = quote_info.get('file', {}) or {}
+            download_url = file_info.get('url') or file_info.get('fileurl')
+            item_aeskey = file_info.get('aeskey', '')
+            file_data = {
+                'filename': file_info.get('filename') or file_info.get('name'),
+                'filesize': file_info.get('filesize') or file_info.get('size'),
+                'md5sum': file_info.get('md5sum') or file_info.get('md5'),
+                'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
+                'download_url': download_url,
+                'extra': file_info,
+            }
+            # Same as private chat: append aeskey to download_url for plugin processing
+            if download_url and item_aeskey:
+                file_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
+            quote_data['file'] = file_data
+        elif quote_type == 'voice':
+            voice_info = quote_info.get('voice', {}) or {}
+            download_url = voice_info.get('url')
+            item_aeskey = voice_info.get('aeskey', '')
+            voice_data = {
+                'url': download_url,
+                'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
+                'filesize': voice_info.get('filesize') or voice_info.get('size'),
+                'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
+            }
+            if voice_info.get('content'):
+                quote_data['content'] = voice_info.get('content')
+            # Same as private chat: append aeskey to url for plugin processing
+            if download_url and item_aeskey:
+                voice_data['url'] = download_url + f'?aeskey={item_aeskey}'
+            quote_data['voice'] = voice_data
+        elif quote_type == 'video':
+            video_info = quote_info.get('video', {}) or {}
+            download_url = video_info.get('url')
+            item_aeskey = video_info.get('aeskey', '')
+            video_data = {
+                'url': download_url,
+                'filesize': video_info.get('filesize') or video_info.get('size'),
+                'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
+                'md5sum': video_info.get('md5sum') or video_info.get('md5'),
+                'filename': video_info.get('filename') or video_info.get('name'),
+            }
+            # Same as private chat: append aeskey to download_url for plugin processing
+            if download_url and item_aeskey:
+                video_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
+            quote_data['video'] = video_data
+        elif quote_type == 'link':
+            quote_data['link'] = quote_info.get('link', {})
+            link = quote_data['link']
+            title = link.get('title', '')
+            desc = link.get('description') or link.get('digest', '')
+            quote_data['content'] = '\n'.join(filter(None, [title, desc]))
+        elif quote_type == 'mixed':
+            # Handle mixed type in quote (text + images + files etc.)
+            items = quote_info.get('mixed', {}).get('msg_item', [])
+            texts = []
+            images = []
+            files = []
+            for item in items:
+                item_type = item.get('msgtype')
+                if item_type == 'text':
+                    texts.append(item.get('text', {}).get('content', ''))
+                elif item_type == 'image':
+                    img_info = item.get('image', {})
+                    img_url = img_info.get('url')
+                    img_aeskey = img_info.get('aeskey', '')
+                    base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
+                    if base64_data:
+                        images.append(base64_data)
+                elif item_type == 'file':
+                    file_info = item.get('file', {}) or {}
+                    download_url = file_info.get('url') or file_info.get('fileurl')
+                    item_aeskey = file_info.get('aeskey', '')
+                    file_data = {
+                        'filename': file_info.get('filename') or file_info.get('name'),
+                        'filesize': file_info.get('filesize') or file_info.get('size'),
+                        'md5sum': file_info.get('md5sum') or file_info.get('md5'),
+                        'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
+                        'download_url': download_url,
+                        'extra': file_info,
+                    }
+                    # Same as private chat: append aeskey to download_url for plugin processing
+                    if download_url and item_aeskey:
+                        file_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
+                    files.append(file_data)
+            if texts:
+                quote_data['content'] = ' '.join(texts)
+            if images:
+                quote_data['images'] = images
+                quote_data['picurl'] = images[0]
+            if files:
+                quote_data['files'] = files
+                quote_data['file'] = files[0]
+
+        message_data['quote'] = quote_data
+
    return message_data


@@ -483,14 +749,27 @@ class WecomBotClient:
        self.stream_sessions = StreamSessionManager(logger=logger)
        self.stream_poll_timeout = 0.5

+        self._feedback_callback: Optional[Callable] = None
+
+    def set_feedback_callback(self, callback: Callable) -> None:
+        """设置反馈回调函数。
+
+        Args:
+            callback: 反馈回调函数，签名: async def callback(feedback_id, feedback_type, feedback_content, inaccurate_reasons, session)
+        """
+        self._feedback_callback = callback
+
    @staticmethod
-    def _build_stream_payload(stream_id: str, content: str, finish: bool) -> dict[str, Any]:
+    def _build_stream_payload(
+        stream_id: str, content: str, finish: bool, feedback_id: Optional[str] = None
+    ) -> dict[str, Any]:
        """按照企业微信协议拼装返回报文。

        Args:
            stream_id: 企业微信会话 ID。
            content: 推送的文本内容。
            finish: 是否为最终片段。
+            feedback_id: 反馈 ID，用于接收用户点赞/点踩反馈。

        Returns:
            dict[str, Any]: 可直接加密返回的 payload。
@@ -498,13 +777,16 @@ class WecomBotClient:
        Example:
            组装 `{'msgtype': 'stream', 'stream': {'id': 'sid', ...}}` 结构。
        """
+        stream_payload = {
+            'id': stream_id,
+            'finish': finish,
+            'content': content,
+        }
+        if feedback_id:
+            stream_payload['feedback'] = {'id': feedback_id}
        return {
            'msgtype': 'stream',
-            'stream': {
-                'id': stream_id,
-                'finish': finish,
-                'content': content,
-            },
+            'stream': stream_payload,
        }

    async def _encrypt_and_reply(self, payload: dict[str, Any], nonce: str) -> tuple[Response, int]:
@@ -560,9 +842,14 @@ class WecomBotClient:
        """
        session, is_new = self.stream_sessions.create_or_get(msg_json)

+        feedback_id = str(uuid.uuid4())
+        session.feedback_id = feedback_id
+        self.stream_sessions.register_feedback_id(session.stream_id, feedback_id)
+
        message_data = await self.get_message(msg_json)
        if message_data:
            message_data['stream_id'] = session.stream_id
+            message_data['feedback_id'] = feedback_id
            try:
                event = wecombotevent.WecomBotEvent(message_data)
            except Exception:
@@ -571,7 +858,7 @@ class WecomBotClient:
                if is_new:
                    asyncio.create_task(self._dispatch_event(event))

-        payload = self._build_stream_payload(session.stream_id, '', False)
+        payload = self._build_stream_payload(session.stream_id, '', False, feedback_id)
        return await self._encrypt_and_reply(payload, nonce)

    async def _handle_post_followup_response(self, msg_json: dict[str, Any], nonce: str) -> tuple[Response, int]:
@@ -696,11 +983,81 @@ class WecomBotClient:

        msg_json = json.loads(decrypted_xml)

+        event = msg_json.get('event', {})
+        event_type = event.get('eventtype', '')
+
+        if event_type == 'feedback_event':
+            return await self._handle_feedback_event(msg_json, nonce)
+
        if msg_json.get('msgtype') == 'stream':
            return await self._handle_post_followup_response(msg_json, nonce)

        return await self._handle_post_initial_response(msg_json, nonce)

+    async def _handle_feedback_event(self, msg_json: dict[str, Any], nonce: str) -> tuple[Response, int]:
+        """处理企业微信用户反馈事件（点赞/点踩）。
+
+        Args:
+            msg_json: 解密后的企业微信反馈事件 JSON。
+            nonce: 企业微信回调参数 nonce。
+
+        Returns:
+            Tuple[Response, int]: Quart Response 及状态码。
+
+        Note:
+            企业微信协议要求：反馈事件目前仅支持回复空包。
+        """
+        try:
+            feedback_event = msg_json.get('event', {}).get('feedback_event', {})
+            feedback_id = feedback_event.get('id', '')
+            feedback_type = feedback_event.get('type', 0)
+            feedback_content = feedback_event.get('content', '')
+            inaccurate_reasons = feedback_event.get('inaccurate_reason_list', [])
+
+            await self.logger.info(
+                f'收到用户反馈事件: feedback_id={feedback_id}, type={feedback_type}, '
+                f'content={feedback_content}, reasons={inaccurate_reasons}'
+            )
+
+            session = self.stream_sessions.get_session_by_feedback_id(feedback_id)
+
+            if session:
+                await self.logger.info(
+                    f'反馈关联到会话: stream_id={session.stream_id}, msg_id={session.msg_id}, user_id={session.user_id}'
+                )
+            else:
+                await self.logger.warning(f'未找到 feedback_id={feedback_id} 对应的会话，仍将记录反馈')
+
+            # Dispatch feedback event regardless of session availability
+            for handler in self._message_handlers.get('feedback', []):
+                try:
+                    await handler(
+                        feedback_id=feedback_id,
+                        feedback_type=feedback_type,
+                        feedback_content=feedback_content,
+                        inaccurate_reasons=inaccurate_reasons,
+                        session=session,
+                    )
+                except Exception:
+                    await self.logger.error(traceback.format_exc())
+
+            if self._feedback_callback:
+                try:
+                    await self._feedback_callback(
+                        feedback_id=feedback_id,
+                        feedback_type=feedback_type,
+                        feedback_content=feedback_content,
+                        inaccurate_reasons=inaccurate_reasons,
+                        session=session,
+                    )
+                except Exception:
+                    await self.logger.error(traceback.format_exc())
+
+        except Exception:
+            await self.logger.error(traceback.format_exc())
+
+        return await self._encrypt_and_reply({}, nonce)
+
    async def get_message(self, msg_json):
        return await parse_wecom_bot_message(msg_json, self.EnCodingAESKey, self.logger)

@@ -769,8 +1126,20 @@ class WecomBotClient:

        return decorator

+    def on_feedback(self):
+        def decorator(func: Callable):
+            if 'feedback' not in self._message_handlers:
+                self._message_handlers['feedback'] = []
+            self._message_handlers['feedback'].append(func)
+            return func
+
+        return decorator
+
    async def download_url_to_base64(self, download_url, encoding_aes_key):
-        return await download_encrypted_file(download_url, encoding_aes_key, self.logger)
+        data, _filename = await download_encrypted_file(download_url, encoding_aes_key, self.logger)
+        if data:
+            return _bytes_to_data_uri(data)
+        return None

    async def run_task(self, host: str, port: int, *args, **kwargs):
        """
--- a/src/langbot/libs/wecom_ai_bot_api/wecombotevent.py
+++ b/src/langbot/libs/wecom_ai_bot_api/wecombotevent.py
@@ -133,3 +133,24 @@ class WecomBotEvent(dict):
        AI Bot ID
        """
        return self.get('aibotid', '')
+
+    @property
+    def feedback_id(self) -> str:
+        """
+        反馈 ID，用于关联用户点赞/点踩反馈
+        """
+        return self.get('feedback_id', '')
+
+    @property
+    def stream_id(self) -> str:
+        """
+        流式消息 ID
+        """
+        return self.get('stream_id', '')
+
+    @property
+    def quote(self):
+        """
+        引用消息信息（群聊中用户引用其他消息时返回）
+        """
+        return self.get('quote', {})
--- a/src/langbot/libs/wecom_ai_bot_api/ws_client.py
+++ b/src/langbot/libs/wecom_ai_bot_api/ws_client.py
@@ -20,7 +20,7 @@ from typing import Any, Callable, Optional
 import aiohttp

 from langbot.libs.wecom_ai_bot_api import wecombotevent
-from langbot.libs.wecom_ai_bot_api.api import parse_wecom_bot_message
+from langbot.libs.wecom_ai_bot_api.api import parse_wecom_bot_message, StreamSession
 from langbot.pkg.platform.logger import EventLogger

 DEFAULT_WS_URL = 'wss://openws.work.weixin.qq.com'
@@ -96,6 +96,12 @@ class WecomBotWsClient:
        self._stream_ids: dict[str, str] = {}  # msg_id -> req_id|stream_id
        # Dedup: skip sending when content hasn't changed
        self._stream_last_content: dict[str, str] = {}  # msg_id -> last content sent
+        # Stream session info for feedback tracking
+        self._stream_sessions: dict[str, dict] = {}  # msg_id -> session info
+        # Feedback tracking: feedback_id -> session info
+        self._feedback_sessions: dict[str, dict] = {}  # feedback_id -> {msg_id, user_id, chat_id, stream_id, req_id}
+        # msg_id -> feedback_id (for associating feedback with message)
+        self._msg_feedback_ids: dict[str, str] = {}  # msg_id -> feedback_id

    # ── Public API ──────────────────────────────────────────────────

@@ -164,12 +170,27 @@ class WecomBotWsClient:

        return decorator

+    def on_feedback(self) -> Callable:
+        """Decorator to register a feedback event handler.
+
+        Same interface as WecomBotClient.on_feedback for compatibility.
+        """
+
+        def decorator(func: Callable):
+            if 'feedback' not in self._message_handlers:
+                self._message_handlers['feedback'] = []
+            self._message_handlers['feedback'].append(func)
+            return func
+
+        return decorator
+
    async def reply_stream(
        self,
        req_id: str,
        stream_id: str,
        content: str,
        finish: bool = False,
+        feedback_id: str = '',
    ) -> Optional[dict]:
        """Send a streaming reply frame.

@@ -178,17 +199,22 @@ class WecomBotWsClient:
            stream_id: The stream ID for this streaming session.
            content: The content to send (supports Markdown).
            finish: Whether this is the final chunk.
+            feedback_id: Optional feedback ID for receiving user feedback (like/dislike).

        Returns:
            The ACK frame dict, or None on failure.
        """
+        stream_payload = {
+            'id': stream_id,
+            'finish': finish,
+            'content': content,
+        }
+        if feedback_id:
+            stream_payload['feedback'] = {'id': feedback_id}
+
        body = {
            'msgtype': 'stream',
-            'stream': {
-                'id': stream_id,
-                'finish': finish,
-                'content': content,
-            },
+            'stream': stream_payload,
        }
        return await self._send_reply(req_id, body)

@@ -253,11 +279,23 @@ class WecomBotWsClient:
            # Skip sending if content hasn't changed (e.g. during tool call argument streaming)
            if not is_final and content == self._stream_last_content.get(msg_id):
                return True
-            await self.reply_stream(req_id, stream_id, content, finish=is_final)
+
+            # Generate feedback_id for final chunk
+            feedback_id = ''
+            if is_final:
+                feedback_id = _generate_req_id('feedback')
+                self._msg_feedback_ids[msg_id] = feedback_id
+                # Store session info for feedback tracking
+                session_info = self._stream_sessions.get(msg_id)
+                if session_info:
+                    self._feedback_sessions[feedback_id] = session_info
+
+            await self.reply_stream(req_id, stream_id, content, finish=is_final, feedback_id=feedback_id)
            self._stream_last_content[msg_id] = content
            if is_final:
                self._stream_ids.pop(msg_id, None)
                self._stream_last_content.pop(msg_id, None)
+                self._stream_sessions.pop(msg_id, None)
            return True
        except Exception:
            await self.logger.error(f'Failed to push stream chunk: {traceback.format_exc()}')
@@ -445,6 +483,15 @@ class WecomBotWsClient:
            msg_id = message_data.get('msgid', '')
            if msg_id:
                self._stream_ids[msg_id] = f'{req_id}|{stream_id}'
+                # Store session info for feedback tracking
+                self._stream_sessions[msg_id] = {
+                    'req_id': req_id,
+                    'stream_id': stream_id,
+                    'msg_id': msg_id,
+                    'user_id': message_data.get('userid', ''),
+                    'chat_id': message_data.get('chatid', ''),
+                    'chat_type': message_data.get('type', 'single'),
+                }
            message_data['stream_id'] = stream_id
            message_data['req_id'] = req_id

@@ -454,7 +501,7 @@ class WecomBotWsClient:
            await self.logger.error(f'Error in message callback: {traceback.format_exc()}')

    async def _handle_event_callback(self, frame: dict):
-        """Handle an incoming event callback frame (enter_chat, template_card_event, etc.)."""
+        """Handle an incoming event callback frame (enter_chat, template_card_event, feedback_event, disconnected_event)."""
        try:
            body = frame.get('body', {})
            req_id = frame.get('headers', {}).get('req_id', '')
@@ -479,14 +526,54 @@ class WecomBotWsClient:
            if body.get('chatid'):
                message_data['chatid'] = body.get('chatid', '')

+            if event_type == 'feedback_event':
+                feedback_event = event_info.get('feedback_event', {})
+                feedback_id = feedback_event.get('id', '')
+                feedback_type = feedback_event.get('type', 0)
+                feedback_content = feedback_event.get('content', '')
+                inaccurate_reasons = feedback_event.get('inaccurate_reason_list', [])
+
+                await self.logger.info(
+                    f'收到用户反馈事件: feedback_id={feedback_id}, type={feedback_type}, '
+                    f'content={feedback_content}, reasons={inaccurate_reasons}'
+                )
+
+                # Look up session by feedback_id
+                session_info = self._feedback_sessions.get(feedback_id)
+                session = None
+                if session_info:
+                    session = StreamSession(
+                        stream_id=session_info.get('stream_id', ''),
+                        msg_id=session_info.get('msg_id', ''),
+                        chat_id=session_info.get('chat_id') or None,
+                        user_id=session_info.get('user_id') or None,
+                        feedback_id=feedback_id,
+                    )
+                    await self.logger.info(
+                        f'反馈关联到会话: stream_id={session.stream_id}, msg_id={session.msg_id}, user_id={session.user_id}'
+                    )
+                else:
+                    await self.logger.warning(f'未找到 feedback_id={feedback_id} 对应的会话')
+
+                for handler in self._message_handlers.get('feedback', []):
+                    try:
+                        await handler(
+                            feedback_id=feedback_id,
+                            feedback_type=feedback_type,
+                            feedback_content=feedback_content,
+                            inaccurate_reasons=inaccurate_reasons,
+                            session=session,
+                        )
+                    except Exception:
+                        await self.logger.error(f'Error in feedback handler: {traceback.format_exc()}')
+                return
+
            event = wecombotevent.WecomBotEvent(message_data)

-            # Dispatch to event-specific handlers
            if event_type in self._message_handlers:
                for handler in self._message_handlers[event_type]:
                    await handler(event)

-            # Also dispatch to generic 'event' handlers
            if 'event' in self._message_handlers:
                for handler in self._message_handlers['event']:
                    await handler(event)
--- a/src/langbot/pkg/api/http/controller/groups/monitoring.py
+++ b/src/langbot/pkg/api/http/controller/groups/monitoring.py
@@ -456,6 +456,31 @@ class MonitoringRouterGroup(group.RouterGroup):
                    'platform',
                    'user_id',
                ]
+            elif export_type == 'feedback':
+                data = await self.ap.monitoring_service.export_feedback(
+                    bot_ids=bot_ids if bot_ids else None,
+                    pipeline_ids=pipeline_ids if pipeline_ids else None,
+                    start_time=start_time,
+                    end_time=end_time,
+                    limit=limit,
+                )
+                headers = [
+                    'id',
+                    'timestamp',
+                    'feedback_id',
+                    'feedback_type',
+                    'feedback_content',
+                    'inaccurate_reasons',
+                    'bot_id',
+                    'bot_name',
+                    'pipeline_id',
+                    'pipeline_name',
+                    'session_id',
+                    'message_id',
+                    'stream_id',
+                    'user_id',
+                    'platform',
+                ]
            else:
                return self.error(message=f'Invalid export type: {export_type}', code=400)

@@ -486,3 +511,63 @@ class MonitoringRouterGroup(group.RouterGroup):
            )

            return response, 200
+
+        @self.route('/feedback/stats', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def get_feedback_stats() -> str:
+            """Get feedback statistics"""
+            # Parse query parameters
+            bot_ids = quart.request.args.getlist('botId')
+            pipeline_ids = quart.request.args.getlist('pipelineId')
+            start_time_str = quart.request.args.get('startTime')
+            end_time_str = quart.request.args.get('endTime')
+
+            # Parse datetime
+            start_time = parse_iso_datetime(start_time_str)
+            end_time = parse_iso_datetime(end_time_str)
+
+            stats = await self.ap.monitoring_service.get_feedback_stats(
+                bot_ids=bot_ids if bot_ids else None,
+                pipeline_ids=pipeline_ids if pipeline_ids else None,
+                start_time=start_time,
+                end_time=end_time,
+            )
+
+            return self.success(data=stats)
+
+        @self.route('/feedback', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def get_feedback() -> str:
+            """Get feedback list"""
+            # Parse query parameters
+            bot_ids = quart.request.args.getlist('botId')
+            pipeline_ids = quart.request.args.getlist('pipelineId')
+            feedback_type_str = quart.request.args.get('feedbackType')
+            start_time_str = quart.request.args.get('startTime')
+            end_time_str = quart.request.args.get('endTime')
+            limit = int(quart.request.args.get('limit', 100))
+            offset = int(quart.request.args.get('offset', 0))
+
+            # Parse datetime
+            start_time = parse_iso_datetime(start_time_str)
+            end_time = parse_iso_datetime(end_time_str)
+
+            # Parse feedback type
+            feedback_type = int(feedback_type_str) if feedback_type_str else None
+
+            feedback_list, total = await self.ap.monitoring_service.get_feedback_list(
+                bot_ids=bot_ids if bot_ids else None,
+                pipeline_ids=pipeline_ids if pipeline_ids else None,
+                feedback_type=feedback_type,
+                start_time=start_time,
+                end_time=end_time,
+                limit=limit,
+                offset=offset,
+            )
+
+            return self.success(
+                data={
+                    'feedback': feedback_list,
+                    'total': total,
+                    'limit': limit,
+                    'offset': offset,
+                }
+            )
--- a/src/langbot/pkg/api/http/controller/groups/plugins.py
+++ b/src/langbot/pkg/api/http/controller/groups/plugins.py
@@ -265,6 +265,8 @@ class PluginsRouterGroup(group.RouterGroup):
                return self.http_status(400, -1, 'Missing asset_url parameter')

            ctx = taskmgr.TaskContext.new()
+            ctx.metadata['plugin_name'] = f'{owner}/{repo}'
+            ctx.metadata['install_source'] = 'github'
            install_info = {
                'asset_url': asset_url,
                'owner': owner,
@@ -295,12 +297,17 @@ class PluginsRouterGroup(group.RouterGroup):

            data = await quart.request.json

+            plugin_author = data.get('plugin_author', '')
+            plugin_name = data.get('plugin_name', '')
+
            ctx = taskmgr.TaskContext.new()
+            ctx.metadata['plugin_name'] = f'{plugin_author}/{plugin_name}'
+            ctx.metadata['install_source'] = 'marketplace'
            wrapper = self.ap.task_mgr.create_user_task(
                self.ap.plugin_connector.install_plugin(PluginInstallSource.MARKETPLACE, data, task_context=ctx),
                kind='plugin-operation',
                name='plugin-install-marketplace',
-                label=f'Installing plugin from marketplace ...{data}',
+                label=f'Installing plugin from marketplace {plugin_author}/{plugin_name}',
                context=ctx,
            )

@@ -323,11 +330,13 @@ class PluginsRouterGroup(group.RouterGroup):
            }

            ctx = taskmgr.TaskContext.new()
+            ctx.metadata['plugin_name'] = file.filename or 'local plugin'
+            ctx.metadata['install_source'] = 'local'
            wrapper = self.ap.task_mgr.create_user_task(
                self.ap.plugin_connector.install_plugin(PluginInstallSource.LOCAL, data, task_context=ctx),
                kind='plugin-operation',
                name='plugin-install-local',
-                label=f'Installing plugin from local ...{file.filename}',
+                label=f'Installing plugin from local {file.filename}',
                context=ctx,
            )

--- a/src/langbot/pkg/api/http/controller/groups/resources/tools.py
+++ b/src/langbot/pkg/api/http/controller/groups/resources/tools.py
@@ -0,0 +1,45 @@
+from __future__ import annotations
+
+from ... import group
+
+
+@group.group_class('tools', '/api/v1/tools')
+class ToolsRouterGroup(group.RouterGroup):
+    async def initialize(self) -> None:
+        @self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            """获取所有可用工具列表"""
+            tools = await self.ap.tool_mgr.get_all_tools()
+
+            tool_list = []
+            for tool in tools:
+                tool_list.append(
+                    {
+                        'name': tool.name,
+                        'description': tool.description,
+                        'human_desc': tool.human_desc,
+                        'parameters': tool.parameters,
+                    }
+                )
+
+            return self.success(data={'tools': tool_list})
+
+        @self.route('/<tool_name>', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
+        async def _(tool_name: str) -> str:
+            """获取特定工具详情"""
+            tools = await self.ap.tool_mgr.get_all_tools()
+
+            for tool in tools:
+                if tool.name == tool_name:
+                    return self.success(
+                        data={
+                            'tool': {
+                                'name': tool.name,
+                                'description': tool.description,
+                                'human_desc': tool.human_desc,
+                                'parameters': tool.parameters,
+                            }
+                        }
+                    )
+
+            return self.http_status(404, -1, f'Tool not found: {tool_name}')
--- a/src/langbot/pkg/api/http/controller/groups/system.py
+++ b/src/langbot/pkg/api/http/controller/groups/system.py
@@ -1,7 +1,11 @@
+import json
+
 import quart
+import sqlalchemy

 from .. import group
 from .....utils import constants
+from .....entity.persistence.metadata import Metadata


@group.group_class('system', '/api/v1/system')
@@ -9,6 +13,24 @@ class SystemRouterGroup(group.RouterGroup):
    async def initialize(self) -> None:
        @self.route('/info', methods=['GET'], auth_type=group.AuthType.NONE)
        async def _() -> str:
+            # Read wizard_status and wizard_progress from metadata table
+            wizard_status = 'none'
+            wizard_progress = None
+            try:
+                result = await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.select(Metadata).where(Metadata.key.in_(['wizard_status', 'wizard_progress']))
+                )
+                for row in result:
+                    if row.key == 'wizard_status':
+                        wizard_status = row.value
+                    elif row.key == 'wizard_progress':
+                        try:
+                            wizard_progress = json.loads(row.value)
+                        except (json.JSONDecodeError, TypeError):
+                            wizard_progress = None
+            except Exception:
+                pass
+
            return self.success(
                data={
                    'version': constants.semantic_version,
@@ -27,17 +49,83 @@ class SystemRouterGroup(group.RouterGroup):
                        'disable_models_service', False
                    ),
                    'limitation': self.ap.instance_config.data.get('system', {}).get('limitation', {}),
+                    'wizard_status': wizard_status,
+                    'wizard_progress': wizard_progress,
                }
            )

+        @self.route('/wizard/completed', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            """Mark wizard status in metadata table and clear progress.
+
+            Accepts JSON body: { "status": "skipped" | "completed" }
+            """
+            data = await quart.request.get_json(silent=True) or {}
+            status = data.get('status', 'completed')
+            if status not in ('skipped', 'completed'):
+                return self.http_status(400, 400, f'Invalid wizard status: {status}')
+
+            try:
+                result = await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.select(Metadata).where(Metadata.key == 'wizard_status')
+                )
+                if result.first():
+                    await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.update(Metadata).where(Metadata.key == 'wizard_status').values(value=status)
+                    )
+                else:
+                    await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.insert(Metadata).values(key='wizard_status', value=status)
+                    )
+
+                # Clear wizard progress when wizard is completed/skipped
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.delete(Metadata).where(Metadata.key == 'wizard_progress')
+                )
+            except Exception as e:
+                return self.http_status(500, 500, f'Failed to update wizard status: {e}')
+
+            return self.success(data={})
+
+        @self.route('/wizard/progress', methods=['PUT'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            """Save wizard progress to metadata table.
+
+            Accepts JSON body with wizard state fields:
+            { "step": int, "selected_adapter": str|null, "created_bot_uuid": str|null,
+              "bot_saved": bool, "selected_runner": str|null }
+            """
+            data = await quart.request.get_json(silent=True) or {}
+            progress_json = json.dumps(data, ensure_ascii=False)
+
+            try:
+                result = await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.select(Metadata).where(Metadata.key == 'wizard_progress')
+                )
+                if result.first():
+                    await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.update(Metadata).where(Metadata.key == 'wizard_progress').values(value=progress_json)
+                    )
+                else:
+                    await self.ap.persistence_mgr.execute_async(
+                        sqlalchemy.insert(Metadata).values(key='wizard_progress', value=progress_json)
+                    )
+            except Exception as e:
+                return self.http_status(500, 500, f'Failed to save wizard progress: {e}')
+
+            return self.success(data={})
+
        @self.route('/tasks', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
        async def _() -> str:
            task_type = quart.request.args.get('type')
+            task_kind = quart.request.args.get('kind')

            if task_type == '':
                task_type = None
+            if task_kind == '':
+                task_kind = None

-            return self.success(data=self.ap.task_mgr.get_tasks_dict(task_type))
+            return self.success(data=self.ap.task_mgr.get_tasks_dict(task_type, task_kind))

        @self.route('/tasks/<task_id>', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
        async def _(task_id: str) -> str:
--- a/src/langbot/pkg/api/http/controller/main.py
+++ b/src/langbot/pkg/api/http/controller/main.py
@@ -105,6 +105,29 @@ class HTTPController:
            ):
                if os.path.exists(os.path.join(frontend_path, path + '.html')):
                    path += '.html'
+                elif not path.startswith('api/'):
+                    # SPA fallback: serve index.html for all non-API, non-static routes
+                    # so that React Router can handle client-side routing (Vite SPA).
+                    # For /home/* sub-routes, first try parent .html files (pre-rendered pages).
+                    if path.startswith('home/'):
+                        segments = path.rstrip('/').split('/')
+                        for i in range(len(segments) - 1, 0, -1):
+                            parent_path = '/'.join(segments[:i]) + '.html'
+                            if os.path.exists(os.path.join(frontend_path, parent_path)):
+                                response = await quart.send_from_directory(
+                                    frontend_path, parent_path, mimetype='text/html'
+                                )
+                                response.headers['Cache-Control'] = 'no-cache, no-store, must-revalidate'
+                                response.headers['Pragma'] = 'no-cache'
+                                response.headers['Expires'] = '0'
+                                return response
+
+                    # Fallback to index.html for SPA client-side routing
+                    response = await quart.send_from_directory(frontend_path, 'index.html', mimetype='text/html')
+                    response.headers['Cache-Control'] = 'no-cache, no-store, must-revalidate'
+                    response.headers['Pragma'] = 'no-cache'
+                    response.headers['Expires'] = '0'
+                    return response
                else:
                    return await quart.send_from_directory(frontend_path, '404.html')

--- a/src/langbot/pkg/api/http/service/monitoring.py
+++ b/src/langbot/pkg/api/http/service/monitoring.py
@@ -16,6 +16,57 @@ class MonitoringService:
    def __init__(self, ap: app.Application) -> None:
        self.ap = ap

+    # ========== Cleanup Methods ==========
+
+    async def cleanup_expired_records(self, retention_days: int) -> dict[str, int]:
+        """Delete monitoring records older than the specified retention period.
+
+        Args:
+            retention_days: Number of days to retain records.
+
+        Returns:
+            A dict mapping table name to the number of deleted rows.
+        """
+        cutoff = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None) - datetime.timedelta(
+            days=retention_days
+        )
+
+        tables_and_columns: list[tuple[str, type, sqlalchemy.Column]] = [
+            (
+                'monitoring_messages',
+                persistence_monitoring.MonitoringMessage,
+                persistence_monitoring.MonitoringMessage.timestamp,
+            ),
+            (
+                'monitoring_llm_calls',
+                persistence_monitoring.MonitoringLLMCall,
+                persistence_monitoring.MonitoringLLMCall.timestamp,
+            ),
+            (
+                'monitoring_embedding_calls',
+                persistence_monitoring.MonitoringEmbeddingCall,
+                persistence_monitoring.MonitoringEmbeddingCall.timestamp,
+            ),
+            (
+                'monitoring_errors',
+                persistence_monitoring.MonitoringError,
+                persistence_monitoring.MonitoringError.timestamp,
+            ),
+            (
+                'monitoring_sessions',
+                persistence_monitoring.MonitoringSession,
+                persistence_monitoring.MonitoringSession.last_activity,
+            ),
+        ]
+
+        deleted_counts: dict[str, int] = {}
+
+        for table_name, model_cls, ts_column in tables_and_columns:
+            result = await self.ap.persistence_mgr.execute_async(sqlalchemy.delete(model_cls).where(ts_column < cutoff))
+            deleted_counts[table_name] = result.rowcount
+
+        return deleted_counts
+
    # ========== Recording Methods ==========

    async def record_message(
@@ -1132,3 +1183,314 @@ class MonitoringService:
            }
            for row in rows
        ]
+
+    # ========== Feedback Methods ==========
+
+    async def record_feedback(
+        self,
+        feedback_id: str,
+        feedback_type: int,
+        feedback_content: str | None = None,
+        inaccurate_reasons: list[str] | None = None,
+        bot_id: str | None = None,
+        bot_name: str | None = None,
+        pipeline_id: str | None = None,
+        pipeline_name: str | None = None,
+        session_id: str | None = None,
+        message_id: str | None = None,
+        stream_id: str | None = None,
+        user_id: str | None = None,
+        platform: str | None = None,
+    ) -> str:
+        """Record user feedback (like/dislike) from AI Bot conversation.
+
+        Args:
+            feedback_id: Unique feedback identifier from platform (e.g., WeChat Work)
+            feedback_type: 1 = like (thumbs up), 2 = dislike (thumbs down)
+            feedback_content: Optional user feedback text
+            inaccurate_reasons: List of reasons for inaccurate response (for dislike)
+            bot_id: Bot ID
+            bot_name: Bot name
+            pipeline_id: Pipeline ID
+            pipeline_name: Pipeline name
+            session_id: Session ID
+            message_id: Message ID
+            stream_id: Stream ID (for WeChat Work streaming messages)
+            user_id: User ID
+            platform: Platform name (e.g., 'wecom')
+
+        Returns:
+            The record ID
+        """
+        import json
+
+        now = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
+        reasons_json = json.dumps(inaccurate_reasons, ensure_ascii=False) if inaccurate_reasons else None
+
+        MonitoringFeedback = persistence_monitoring.MonitoringFeedback
+
+        # Handle cancel feedback (type=3): delete existing record
+        if feedback_type == 3:
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.delete(MonitoringFeedback).where(MonitoringFeedback.feedback_id == feedback_id)
+            )
+            return None
+
+        # Check if record with this feedback_id already exists
+        existing_result = await self.ap.persistence_mgr.execute_async(
+            sqlalchemy.select(MonitoringFeedback).where(MonitoringFeedback.feedback_id == feedback_id)
+        )
+        existing_row = existing_result.first()
+
+        if existing_row:
+            # UPDATE existing record
+            existing = existing_row[0] if isinstance(existing_row, tuple) else existing_row
+            await self.ap.persistence_mgr.execute_async(
+                sqlalchemy.update(MonitoringFeedback)
+                .where(MonitoringFeedback.feedback_id == feedback_id)
+                .values(
+                    timestamp=now,
+                    feedback_type=feedback_type,
+                    feedback_content=feedback_content,
+                    inaccurate_reasons=reasons_json,
+                    bot_id=bot_id or existing.bot_id,
+                    bot_name=bot_name or existing.bot_name,
+                    pipeline_id=pipeline_id or existing.pipeline_id,
+                    pipeline_name=pipeline_name or existing.pipeline_name,
+                    session_id=session_id or existing.session_id,
+                    message_id=message_id or existing.message_id,
+                    stream_id=stream_id or existing.stream_id,
+                    user_id=user_id or existing.user_id,
+                    platform=platform or existing.platform,
+                )
+            )
+            return existing.id
+        else:
+            # INSERT new record with IntegrityError defense
+            record_id = str(uuid.uuid4())
+            record_data = {
+                'id': record_id,
+                'timestamp': now,
+                'feedback_id': feedback_id,
+                'feedback_type': feedback_type,
+                'feedback_content': feedback_content,
+                'inaccurate_reasons': reasons_json,
+                'bot_id': bot_id,
+                'bot_name': bot_name,
+                'pipeline_id': pipeline_id,
+                'pipeline_name': pipeline_name,
+                'session_id': session_id,
+                'message_id': message_id,
+                'stream_id': stream_id,
+                'user_id': user_id,
+                'platform': platform,
+            }
+            try:
+                await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(MonitoringFeedback).values(record_data))
+                return record_id
+            except Exception:
+                # UNIQUE constraint conflict (concurrent feedback for same feedback_id)
+                await self.ap.persistence_mgr.execute_async(
+                    sqlalchemy.update(MonitoringFeedback)
+                    .where(MonitoringFeedback.feedback_id == feedback_id)
+                    .values(
+                        timestamp=now,
+                        feedback_type=feedback_type,
+                        feedback_content=feedback_content,
+                        inaccurate_reasons=reasons_json,
+                    )
+                )
+                return feedback_id
+
+    async def get_feedback_stats(
+        self,
+        bot_ids: list[str] | None = None,
+        pipeline_ids: list[str] | None = None,
+        start_time: datetime.datetime | None = None,
+        end_time: datetime.datetime | None = None,
+    ) -> dict:
+        """Get feedback statistics.
+
+        Returns:
+            Dictionary with total likes, dislikes, and breakdown by bot/pipeline
+        """
+        conditions = []
+
+        if bot_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
+        if pipeline_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
+        if start_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
+        if end_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
+
+        # Get total likes (feedback_type = 1)
+        likes_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id)).where(
+            persistence_monitoring.MonitoringFeedback.feedback_type == 1
+        )
+        if conditions:
+            likes_query = likes_query.where(sqlalchemy.and_(*conditions))
+        likes_result = await self.ap.persistence_mgr.execute_async(likes_query)
+        total_likes = likes_result.scalar() or 0
+
+        # Get total dislikes (feedback_type = 2)
+        dislikes_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id)).where(
+            persistence_monitoring.MonitoringFeedback.feedback_type == 2
+        )
+        if conditions:
+            dislikes_query = dislikes_query.where(sqlalchemy.and_(*conditions))
+        dislikes_result = await self.ap.persistence_mgr.execute_async(dislikes_query)
+        total_dislikes = dislikes_result.scalar() or 0
+
+        # Get total feedback count
+        total_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id))
+        if conditions:
+            total_query = total_query.where(sqlalchemy.and_(*conditions))
+        total_result = await self.ap.persistence_mgr.execute_async(total_query)
+        total_feedback = total_result.scalar() or 0
+
+        # Calculate satisfaction rate
+        satisfaction_rate = (total_likes / total_feedback * 100) if total_feedback > 0 else 0
+
+        # Get feedback by bot
+        bot_stats_query = sqlalchemy.select(
+            persistence_monitoring.MonitoringFeedback.bot_id,
+            persistence_monitoring.MonitoringFeedback.bot_name,
+            sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id).label('total'),
+            sqlalchemy.func.sum(
+                sqlalchemy.case((persistence_monitoring.MonitoringFeedback.feedback_type == 1, 1), else_=0)
+            ).label('likes'),
+            sqlalchemy.func.sum(
+                sqlalchemy.case((persistence_monitoring.MonitoringFeedback.feedback_type == 2, 1), else_=0)
+            ).label('dislikes'),
+        ).group_by(
+            persistence_monitoring.MonitoringFeedback.bot_id,
+            persistence_monitoring.MonitoringFeedback.bot_name,
+        )
+        if conditions:
+            bot_stats_query = bot_stats_query.where(sqlalchemy.and_(*conditions))
+        bot_stats_result = await self.ap.persistence_mgr.execute_async(bot_stats_query)
+        bot_stats = [
+            {
+                'bot_id': row.bot_id,
+                'bot_name': row.bot_name,
+                'total': row.total,
+                'likes': row.likes or 0,
+                'dislikes': row.dislikes or 0,
+            }
+            for row in bot_stats_result.all()
+        ]
+
+        return {
+            'total_feedback': total_feedback,
+            'total_likes': total_likes,
+            'total_dislikes': total_dislikes,
+            'satisfaction_rate': round(satisfaction_rate, 2),
+            'by_bot': bot_stats,
+        }
+
+    async def get_feedback_list(
+        self,
+        bot_ids: list[str] | None = None,
+        pipeline_ids: list[str] | None = None,
+        feedback_type: int | None = None,
+        start_time: datetime.datetime | None = None,
+        end_time: datetime.datetime | None = None,
+        limit: int = 100,
+        offset: int = 0,
+    ) -> tuple[list[dict], int]:
+        """Get feedback list with filters."""
+        conditions = []
+
+        if bot_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
+        if pipeline_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
+        if feedback_type is not None:
+            conditions.append(persistence_monitoring.MonitoringFeedback.feedback_type == feedback_type)
+        if start_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
+        if end_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
+
+        # Get total count
+        count_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id))
+        if conditions:
+            count_query = count_query.where(sqlalchemy.and_(*conditions))
+        count_result = await self.ap.persistence_mgr.execute_async(count_query)
+        total = count_result.scalar() or 0
+
+        # Get feedback list
+        query = sqlalchemy.select(persistence_monitoring.MonitoringFeedback).order_by(
+            persistence_monitoring.MonitoringFeedback.timestamp.desc()
+        )
+        if conditions:
+            query = query.where(sqlalchemy.and_(*conditions))
+        query = query.limit(limit).offset(offset)
+
+        result = await self.ap.persistence_mgr.execute_async(query)
+        rows = result.all()
+
+        return (
+            [
+                self.ap.persistence_mgr.serialize_model(
+                    persistence_monitoring.MonitoringFeedback, row[0] if isinstance(row, tuple) else row
+                )
+                for row in rows
+            ],
+            total,
+        )
+
+    async def export_feedback(
+        self,
+        bot_ids: list[str] | None = None,
+        pipeline_ids: list[str] | None = None,
+        start_time: datetime.datetime | None = None,
+        end_time: datetime.datetime | None = None,
+        limit: int = 100000,
+    ) -> list[dict]:
+        """Export feedback as list of dictionaries for CSV conversion."""
+        conditions = []
+
+        if bot_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
+        if pipeline_ids:
+            conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
+        if start_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
+        if end_time:
+            conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
+
+        query = sqlalchemy.select(persistence_monitoring.MonitoringFeedback).order_by(
+            persistence_monitoring.MonitoringFeedback.timestamp.desc()
+        )
+        if conditions:
+            query = query.where(sqlalchemy.and_(*conditions))
+        query = query.limit(limit)
+
+        result = await self.ap.persistence_mgr.execute_async(query)
+        rows = result.all()
+
+        return [
+            {
+                'id': row[0].id if isinstance(row, tuple) else row.id,
+                'timestamp': self._format_timestamp(row[0].timestamp if isinstance(row, tuple) else row.timestamp),
+                'feedback_id': row[0].feedback_id if isinstance(row, tuple) else row.feedback_id,
+                'feedback_type': 'like'
+                if (row[0].feedback_type if isinstance(row, tuple) else row.feedback_type) == 1
+                else 'dislike',
+                'feedback_content': row[0].feedback_content if isinstance(row, tuple) else row.feedback_content,
+                'inaccurate_reasons': row[0].inaccurate_reasons if isinstance(row, tuple) else row.inaccurate_reasons,
+                'bot_id': row[0].bot_id if isinstance(row, tuple) else row.bot_id,
+                'bot_name': row[0].bot_name if isinstance(row, tuple) else row.bot_name,
+                'pipeline_id': row[0].pipeline_id if isinstance(row, tuple) else row.pipeline_id,
+                'pipeline_name': row[0].pipeline_name if isinstance(row, tuple) else row.pipeline_name,
+                'session_id': row[0].session_id if isinstance(row, tuple) else row.session_id,
+                'message_id': row[0].message_id if isinstance(row, tuple) else row.message_id,
+                'stream_id': row[0].stream_id if isinstance(row, tuple) else row.stream_id,
+                'user_id': row[0].user_id if isinstance(row, tuple) else row.user_id,
+                'platform': row[0].platform if isinstance(row, tuple) else row.platform,
+            }
+            for row in rows
+        ]
--- a/src/langbot/pkg/api/http/service/user.py
+++ b/src/langbot/pkg/api/http/service/user.py
@@ -65,8 +65,8 @@ class UserService:

        user_obj = result_list[0]

-        # Check if this is a Space account
-        if user_obj.account_type == 'space':
+        # Check if this user has a local password set
+        if not user_obj.password:
            raise ValueError('请使用 Space 账户登录')

        ph = argon2.PasswordHasher()
@@ -108,9 +108,8 @@ class UserService:
        if user_obj is None:
            raise ValueError('User not found')

-        # Space accounts cannot change password locally
-        if user_obj.account_type == 'space':
-            raise ValueError('Space account cannot change password locally')
+        if not user_obj.password:
+            raise ValueError('No local password set, please set a password first')

        ph.verify(user_obj.password, current_password)

--- a/src/langbot/pkg/core/app.py
+++ b/src/langbot/pkg/core/app.py
@@ -188,6 +188,34 @@ class Application:
                scopes=[core_entities.LifecycleControlScope.APPLICATION],
            )

+            # Start monitoring data cleanup task if enabled
+            monitoring_cfg = self.instance_config.data.get('monitoring', {})
+            auto_cleanup_cfg = monitoring_cfg.get('auto_cleanup', {})
+            if auto_cleanup_cfg.get('enabled', True):
+                retention_days = auto_cleanup_cfg.get('retention_days', 30)
+                check_interval_hours = auto_cleanup_cfg.get('check_interval_hours', 1)
+
+                async def monitoring_cleanup_loop():
+                    check_interval_seconds = check_interval_hours * 3600
+                    while True:
+                        try:
+                            deleted = await self.monitoring_service.cleanup_expired_records(retention_days)
+                            total_deleted = sum(deleted.values())
+                            if total_deleted > 0:
+                                self.logger.info(
+                                    f'Monitoring auto-cleanup: deleted {total_deleted} expired records '
+                                    f'(retention={retention_days}d): {deleted}'
+                                )
+                        except Exception as e:
+                            self.logger.warning(f'Monitoring auto-cleanup error: {e}')
+                        await asyncio.sleep(check_interval_seconds)
+
+                self.task_mgr.create_task(
+                    monitoring_cleanup_loop(),
+                    name='monitoring-cleanup',
+                    scopes=[core_entities.LifecycleControlScope.APPLICATION],
+                )
+
            self.task_mgr.create_task(
                never_ending(),
                name='never-ending-task',
--- a/src/langbot/pkg/core/stages/load_config.py
+++ b/src/langbot/pkg/core/stages/load_config.py
@@ -80,8 +80,12 @@ def _apply_env_overrides_to_config(cfg: dict) -> dict:
            if i == len(keys) - 1:
                # At the final key
                if key in current:
-                    if isinstance(current[key], (dict, list)):
-                        # Skip dict and list types
+                    if isinstance(current[key], list):
+                        # Convert comma-separated string to list
+                        # e.g., SYSTEM__DISABLED_ADAPTERS="aiocqhttp,dingtalk"
+                        current[key] = [item.strip() for item in env_value.split(',') if item.strip()]
+                    elif isinstance(current[key], dict):
+                        # Skip dict types
                        pass
                    else:
                        # Valid scalar value - convert and set it
--- a/src/langbot/pkg/core/taskmgr.py
+++ b/src/langbot/pkg/core/taskmgr.py
@@ -17,9 +17,13 @@ class TaskContext:
    log: str
    """Log"""

+    metadata: dict
+    """Structured metadata for progress reporting"""
+
    def __init__(self):
        self.current_action = 'default'
        self.log = ''
+        self.metadata = {}

    def _log(self, msg: str):
        self.log += msg + '\n'
@@ -38,7 +42,7 @@ class TaskContext:
        self._log(f'{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")} | {self.current_action} | {msg}')

    def to_dict(self) -> dict:
-        return {'current_action': self.current_action, 'log': self.log}
+        return {'current_action': self.current_action, 'log': self.log, 'metadata': self.metadata}

    @staticmethod
    def new() -> TaskContext:
@@ -211,9 +215,14 @@ class AsyncTaskManager:
    def get_tasks_dict(
        self,
        type: str = None,
+        kind: str = None,
    ) -> dict:
        return {
-            'tasks': [t.to_dict() for t in self.tasks if type is None or t.task_type == type],
+            'tasks': [
+                t.to_dict()
+                for t in self.tasks
+                if (type is None or t.task_type == type) and (kind is None or t.kind == kind)
+            ],
            'id_index': TaskWrapper._id_index,
        }

--- a/src/langbot/pkg/discover/engine.py
+++ b/src/langbot/pkg/discover/engine.py
@@ -17,11 +17,23 @@ class I18nString(pydantic.BaseModel):
    """英文"""

    zh_Hans: typing.Optional[str] = None
-    """中文"""
+    """简体中文"""
+
+    zh_Hant: typing.Optional[str] = None
+    """繁体中文"""

    ja_JP: typing.Optional[str] = None
    """日文"""

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


--- a/src/langbot/pkg/entity/persistence/bot.py
+++ b/src/langbot/pkg/entity/persistence/bot.py
@@ -16,6 +16,7 @@ class Bot(Base):
    enable = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=False)
    use_pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
    use_pipeline_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    pipeline_routing_rules = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, server_default='[]')
    created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
    updated_at = sqlalchemy.Column(
        sqlalchemy.DateTime,
--- a/src/langbot/pkg/entity/persistence/monitoring.py
+++ b/src/langbot/pkg/entity/persistence/monitoring.py
@@ -106,3 +106,26 @@ class MonitoringEmbeddingCall(Base):
    session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
    message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
    call_type = sqlalchemy.Column(sqlalchemy.String(50), nullable=True)  # embedding, retrieve
+
+
+class MonitoringFeedback(Base):
+    """User feedback records (like/dislike) from AI Bot conversations"""
+
+    __tablename__ = 'monitoring_feedback'
+
+    id = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True)
+    timestamp = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, index=True)
+    feedback_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, unique=True, index=True)
+    feedback_type = sqlalchemy.Column(sqlalchemy.Integer, nullable=False)  # 1=like, 2=dislike
+    feedback_content = sqlalchemy.Column(sqlalchemy.Text, nullable=True)  # User feedback text
+    inaccurate_reasons = sqlalchemy.Column(sqlalchemy.Text, nullable=True)  # JSON list of inaccurate reasons
+    # Context fields
+    bot_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    bot_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    pipeline_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    stream_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    user_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    platform = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)  # e.g., wecom
--- a/src/langbot/pkg/persistence/alembic/init.py
+++ b/src/langbot/pkg/persistence/alembic/init.py
--- a/src/langbot/pkg/persistence/alembic/env.py
+++ b/src/langbot/pkg/persistence/alembic/env.py
@@ -0,0 +1,51 @@
+"""Alembic environment for LangBot.
+
+This env.py is designed to be called programmatically (not via CLI).
+It supports both SQLite and PostgreSQL.
+
+The sync connection is passed via config attributes by the runner.
+"""
+
+from __future__ import annotations
+
+from alembic import context
+from sqlalchemy.engine import Connection
+
+from langbot.pkg.entity.persistence.base import Base
+
+target_metadata = Base.metadata
+
+
+def run_migrations_offline() -> None:
+    """Run migrations in 'offline' mode — emit SQL without a live connection."""
+    url = context.config.get_main_option('sqlalchemy.url')
+    context.configure(
+        url=url,
+        target_metadata=target_metadata,
+        literal_binds=True,
+        dialect_opts={'paramstyle': 'named'},
+    )
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+def run_migrations_online() -> None:
+    """Run migrations with a live sync connection passed via config attributes."""
+    connection: Connection = context.config.attributes.get('connection')
+    if connection is None:
+        raise RuntimeError('connection not provided in alembic config attributes')
+
+    context.configure(
+        connection=connection,
+        target_metadata=target_metadata,
+        # render_as_batch=True is critical for SQLite ALTER TABLE support
+        render_as_batch=True,
+    )
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+if context.is_offline_mode():
+    run_migrations_offline()
+else:
+    run_migrations_online()
--- a/src/langbot/pkg/persistence/alembic/script.py.mako
+++ b/src/langbot/pkg/persistence/alembic/script.py.mako
@@ -0,0 +1,24 @@
+# Alembic script.py.mako — template for auto-generated revisions
+"""${message}
+
+Revision ID: ${up_revision}
+Revises: ${down_revision | comma,n}
+Create Date: ${create_date}
+"""
+from alembic import op
+import sqlalchemy as sa
+${imports if imports else ""}
+
+# revision identifiers
+revision = ${repr(up_revision)}
+down_revision = ${repr(down_revision)}
+branch_labels = ${repr(branch_labels)}
+depends_on = ${repr(depends_on)}
+
+
+def upgrade() -> None:
+    ${upgrades if upgrades else "pass"}
+
+
+def downgrade() -> None:
+    ${downgrades if downgrades else "pass"}
--- a/src/langbot/pkg/persistence/alembic/versions/0001_baseline.py
+++ b/src/langbot/pkg/persistence/alembic/versions/0001_baseline.py
@@ -0,0 +1,24 @@
+"""baseline: stamp existing schema (db version 25)
+
+This is a no-op migration that marks the starting point for Alembic.
+All tables already exist via create_all() + legacy DBMigration system.
+
+Revision ID: 0001_baseline
+Revises: None
+Create Date: 2026-04-08
+"""
+
+revision = '0001_baseline'
+down_revision = None
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # No-op: existing schema is already at database_version=25
+    # This revision serves as the Alembic baseline.
+    pass
+
+
+def downgrade() -> None:
+    pass
--- a/src/langbot/pkg/persistence/alembic/versions/0002_sample.py
+++ b/src/langbot/pkg/persistence/alembic/versions/0002_sample.py
@@ -0,0 +1,62 @@
+"""example: sample migration demonstrating Alembic patterns
+
+This is a SAMPLE showing how to write migrations that work
+seamlessly across SQLite and PostgreSQL. Delete or adapt as needed.
+
+Revision ID: 0002_sample
+Revises: 0001_baseline
+Create Date: 2026-04-08
+
+Patterns demonstrated:
+  1. Schema change (add column) — works on both DBs via render_as_batch
+  2. Data migration (read + modify JSON) — pure SQLAlchemy, no dialect branching
+"""
+
+revision = '0002_sample'
+down_revision = '0001_baseline'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    """
+    EXAMPLE: Uncomment to use. This shows the patterns.
+
+    # --- Pattern 1: Schema change (add/drop column) ---
+    # render_as_batch=True in env.py makes this work on SQLite too.
+    #
+    # op.add_column('pipelines', sa.Column('description', sa.String(512), server_default=''))
+
+    # --- Pattern 2: Data migration (read + modify JSON field) ---
+    # No if/else for sqlite vs postgres needed!
+    #
+    # conn = op.get_bind()
+    # rows = conn.execute(sa.text("SELECT uuid, config FROM pipelines")).fetchall()
+    # for row in rows:
+    #     config = json.loads(row[1]) if isinstance(row[1], str) else row[1]
+    #     # Modify the config
+    #     config.setdefault('ai', {}).setdefault('some_new_key', 'default_value')
+    #     conn.execute(
+    #         sa.text("UPDATE pipelines SET config = :cfg WHERE uuid = :uuid"),
+    #         {"cfg": json.dumps(config), "uuid": row[0]}
+    #     )
+
+    # --- Pattern 3: Create a new table ---
+    #
+    # op.create_table(
+    #     'audit_log',
+    #     sa.Column('id', sa.Integer, primary_key=True, autoincrement=True),
+    #     sa.Column('action', sa.String(255), nullable=False),
+    #     sa.Column('detail', sa.Text),
+    #     sa.Column('created_at', sa.DateTime, server_default=sa.func.now()),
+    # )
+    """
+    pass
+
+
+def downgrade() -> None:
+    """
+    # op.drop_column('pipelines', 'description')
+    # op.drop_table('audit_log')
+    """
+    pass
--- a/src/langbot/pkg/persistence/alembic/versions/init.py
+++ b/src/langbot/pkg/persistence/alembic/versions/init.py
--- a/src/langbot/pkg/persistence/alembic_runner.py
+++ b/src/langbot/pkg/persistence/alembic_runner.py
@@ -0,0 +1,150 @@
+"""Programmatic Alembic runner for LangBot.
+
+Usage from async code:
+    from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade
+    await run_alembic_upgrade(async_engine)
+
+CLI usage (autogenerate):
+    python -m langbot.pkg.persistence.alembic_runner autogenerate "add description column"
+    python -m langbot.pkg.persistence.alembic_runner upgrade
+    python -m langbot.pkg.persistence.alembic_runner current
+"""
+
+from __future__ import annotations
+
+import os
+from typing import TYPE_CHECKING
+
+from alembic.config import Config
+from alembic import command
+from alembic.runtime.migration import MigrationContext
+
+if TYPE_CHECKING:
+    from sqlalchemy.ext.asyncio import AsyncEngine
+    from sqlalchemy.engine import Connection
+
+
+_ALEMBIC_DIR = os.path.join(os.path.dirname(__file__), 'alembic')
+
+
+def _build_config(connection: Connection) -> Config:
+    """Build an Alembic Config with sync connection attached."""
+    cfg = Config()
+    cfg.set_main_option('script_location', _ALEMBIC_DIR)
+    cfg.attributes['connection'] = connection
+    return cfg
+
+
+def _do_upgrade(connection: Connection, revision: str = 'head') -> None:
+    """Synchronous upgrade — runs inside run_sync."""
+    cfg = _build_config(connection)
+    command.upgrade(cfg, revision)
+
+
+def _do_stamp(connection: Connection, revision: str = 'head') -> None:
+    """Synchronous stamp — runs inside run_sync."""
+    cfg = _build_config(connection)
+    command.stamp(cfg, revision)
+
+
+def _do_get_current(connection: Connection) -> str | None:
+    """Get current alembic revision synchronously."""
+    ctx = MigrationContext.configure(connection)
+    return ctx.get_current_revision()
+
+
+def _do_autogenerate(connection: Connection, message: str = 'auto migration') -> None:
+    """Synchronous autogenerate — runs inside run_sync."""
+    cfg = _build_config(connection)
+    command.revision(cfg, message=message, autogenerate=True)
+
+
+async def run_alembic_upgrade(async_engine: AsyncEngine, revision: str = 'head') -> None:
+    """Run Alembic upgrade to the given revision."""
+    async with async_engine.connect() as conn:
+        await conn.run_sync(_do_upgrade, revision)
+        await conn.commit()
+
+
+async def run_alembic_stamp(async_engine: AsyncEngine, revision: str = 'head') -> None:
+    """Stamp the database with a revision without running migrations."""
+    async with async_engine.connect() as conn:
+        await conn.run_sync(_do_stamp, revision)
+        await conn.commit()
+
+
+async def get_alembic_current(async_engine: AsyncEngine) -> str | None:
+    """Get current alembic revision, or None if not stamped."""
+    async with async_engine.connect() as conn:
+        return await conn.run_sync(_do_get_current)
+
+
+async def run_alembic_autogenerate(async_engine: AsyncEngine, message: str = 'auto migration') -> None:
+    """Compare ORM models against DB schema and generate a migration script."""
+    async with async_engine.connect() as conn:
+        await conn.run_sync(_do_autogenerate, message)
+
+
+# CLI entrypoint: python -m langbot.pkg.persistence.alembic_runner <command> [args]
+if __name__ == '__main__':
+    import sys
+    import asyncio
+
+    def _get_engine():
+        """Create engine from data/config.yaml or default SQLite."""
+        from sqlalchemy.ext.asyncio import create_async_engine
+
+        try:
+            import yaml
+
+            with open('data/config.yaml') as f:
+                config = yaml.safe_load(f)
+            db_cfg = config.get('database', {})
+            db_type = db_cfg.get('use', 'sqlite')
+            if db_type == 'postgresql':
+                pg = db_cfg.get('postgresql', {})
+                url = (
+                    f'postgresql+asyncpg://{pg.get("user", "postgres")}:{pg.get("password", "postgres")}'
+                    f'@{pg.get("host", "127.0.0.1")}:{pg.get("port", 5432)}/{pg.get("database", "postgres")}'
+                )
+            else:
+                path = db_cfg.get('sqlite', {}).get('path', 'data/langbot.db')
+                url = f'sqlite+aiosqlite:///{path}'
+        except Exception:
+            url = 'sqlite+aiosqlite:///data/langbot.db'
+
+        return create_async_engine(url)
+
+    def main():
+        if len(sys.argv) < 2:
+            print('Usage: python -m langbot.pkg.persistence.alembic_runner <command> [args]')
+            print('Commands:')
+            print('  autogenerate "message"  — Generate migration from ORM model diff')
+            print('  upgrade [revision]      — Upgrade database (default: head)')
+            print('  stamp [revision]        — Stamp revision without running (default: head)')
+            print('  current                 — Show current revision')
+            sys.exit(1)
+
+        cmd = sys.argv[1]
+        engine = _get_engine()
+
+        if cmd == 'autogenerate':
+            msg = sys.argv[2] if len(sys.argv) > 2 else 'auto migration'
+            asyncio.run(run_alembic_autogenerate(engine, msg))
+            print(f'Migration generated: {msg}')
+        elif cmd == 'upgrade':
+            rev = sys.argv[2] if len(sys.argv) > 2 else 'head'
+            asyncio.run(run_alembic_upgrade(engine, rev))
+            print(f'Upgraded to: {rev}')
+        elif cmd == 'stamp':
+            rev = sys.argv[2] if len(sys.argv) > 2 else 'head'
+            asyncio.run(run_alembic_stamp(engine, rev))
+            print(f'Stamped: {rev}')
+        elif cmd == 'current':
+            rev = asyncio.run(get_alembic_current(engine))
+            print(f'Current revision: {rev}')
+        else:
+            print(f'Unknown command: {cmd}')
+            sys.exit(1)
+
+    main()
--- a/src/langbot/pkg/persistence/mgr.py
+++ b/src/langbot/pkg/persistence/mgr.py
@@ -2,18 +2,16 @@ from __future__ import annotations

 import datetime
 import typing
-import json
-import uuid
+

 import sqlalchemy.ext.asyncio as sqlalchemy_asyncio
 import sqlalchemy

 from . import database, migration
-from ..entity.persistence import base, pipeline, metadata, model as persistence_model
+from ..entity.persistence import base, metadata, model as persistence_model
 from ..entity import persistence
 from ..core import app
 from ..utils import constants, importutil
-from ..api.http.service import pipeline as pipeline_service
 from . import databases, migrations

 importutil.import_modules_in_pkg(databases)
@@ -78,7 +76,9 @@ class PersistenceManager:

            self.ap.logger.info(f'Successfully upgraded database to version {last_migration_number}.')

-        await self.write_default_pipeline()
+        # Run Alembic migrations (new migration system)
+        await self._run_alembic_migrations()
+
        await self.write_space_model_providers()

    async def create_tables(self):
@@ -101,29 +101,6 @@ class PersistenceManager:
            if row is None:
                await self.execute_async(sqlalchemy.insert(metadata.Metadata).values(item))

-    async def write_default_pipeline(self):
-        # write default pipeline
-        result = await self.execute_async(sqlalchemy.select(pipeline.LegacyPipeline))
-        default_pipeline_uuid = None
-        if result.first() is None:
-            self.ap.logger.info('Creating default pipeline...')
-
-            pipeline_config = json.loads(importutil.read_resource_file('templates/default-pipeline-config.json'))
-
-            default_pipeline_uuid = str(uuid.uuid4())
-            pipeline_data = {
-                'uuid': default_pipeline_uuid,
-                'for_version': self.ap.ver_mgr.get_current_version(),
-                'stages': pipeline_service.default_stage_order,
-                'is_default': True,
-                'name': 'ChatPipeline',
-                'description': 'Default pipeline, new bots will be bound to this pipeline | 默认提供的流水线，您配置的机器人将自动绑定到此流水线',
-                'config': pipeline_config,
-                'extensions_preferences': {},
-            }
-
-            await self.execute_async(sqlalchemy.insert(pipeline.LegacyPipeline).values(pipeline_data))
-
    async def write_space_model_providers(self):
        space_models_gateway_api_url = self.ap.instance_config.data.get('space', {}).get(
            'models_gateway_api_url', 'https://api.langbot.cloud/v1'
@@ -161,6 +138,28 @@ class PersistenceManager:

    # =================================

+    async def _run_alembic_migrations(self):
+        """Run Alembic-based migrations after legacy migrations complete."""
+        from . import alembic_runner
+
+        engine = self.get_db_engine()
+
+        try:
+            current_rev = await alembic_runner.get_alembic_current(engine)
+
+            if current_rev is None:
+                # First time: stamp baseline so Alembic knows existing schema is up-to-date
+                self.ap.logger.info('Alembic: no revision found, stamping baseline...')
+                await alembic_runner.run_alembic_stamp(engine, '0001_baseline')
+                current_rev = '0001_baseline'
+
+            # Upgrade to head
+            await alembic_runner.run_alembic_upgrade(engine, 'head')
+            self.ap.logger.info('Alembic migrations completed.')
+        except Exception as e:
+            self.ap.logger.error(f'Alembic migration failed: {e}', exc_info=True)
+            raise
+
    async def execute_async(self, *args, **kwargs) -> sqlalchemy.engine.cursor.CursorResult:
        async with self.get_db_engine().connect() as conn:
            result = await conn.execute(*args, **kwargs)
--- a/src/langbot/pkg/persistence/migrations/dbm025_bot_pipeline_routing_rules.py
+++ b/src/langbot/pkg/persistence/migrations/dbm025_bot_pipeline_routing_rules.py
@@ -0,0 +1,15 @@
+import sqlalchemy
+from .. import migration
+
+
+@migration.migration_class(25)
+class DBMigrateBotPipelineRoutingRules(migration.DBMigration):
+    """Add pipeline_routing_rules column to bots table"""
+
+    async def upgrade(self):
+        sql_text = sqlalchemy.text("ALTER TABLE bots ADD COLUMN pipeline_routing_rules JSON NOT NULL DEFAULT '[]'")
+        await self.ap.persistence_mgr.execute_async(sql_text)
+
+    async def downgrade(self):
+        sql_text = sqlalchemy.text('ALTER TABLE bots DROP COLUMN pipeline_routing_rules')
+        await self.ap.persistence_mgr.execute_async(sql_text)
--- a/src/langbot/pkg/pipeline/aggregator.py
+++ b/src/langbot/pkg/pipeline/aggregator.py
@@ -37,6 +37,7 @@ class PendingMessage:
    message_chain: platform_message.MessageChain
    adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter
    pipeline_uuid: typing.Optional[str]
+    routed_by_rule: bool = False
    timestamp: float = field(default_factory=time.time)


@@ -125,6 +126,7 @@ class MessageAggregator:
        message_chain: platform_message.MessageChain,
        adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
        pipeline_uuid: typing.Optional[str] = None,
+        routed_by_rule: bool = False,
    ) -> None:
        """Add a message to the aggregation buffer

@@ -145,6 +147,7 @@ class MessageAggregator:
                message_chain=message_chain,
                adapter=adapter,
                pipeline_uuid=pipeline_uuid,
+                routed_by_rule=routed_by_rule,
            )
            return

@@ -159,6 +162,7 @@ class MessageAggregator:
            message_chain=message_chain,
            adapter=adapter,
            pipeline_uuid=pipeline_uuid,
+            routed_by_rule=routed_by_rule,
        )

        force_flush = False
@@ -217,6 +221,7 @@ class MessageAggregator:
                message_chain=msg.message_chain,
                adapter=msg.adapter,
                pipeline_uuid=msg.pipeline_uuid,
+                routed_by_rule=msg.routed_by_rule,
            )
            return

@@ -231,6 +236,7 @@ class MessageAggregator:
            message_chain=merged_msg.message_chain,
            adapter=merged_msg.adapter,
            pipeline_uuid=merged_msg.pipeline_uuid,
+            routed_by_rule=merged_msg.routed_by_rule,
        )

    def _merge_messages(self, messages: list[PendingMessage]) -> PendingMessage:
--- a/src/langbot/pkg/pipeline/controller.py
+++ b/src/langbot/pkg/pipeline/controller.py
@@ -63,6 +63,14 @@ class Controller:
                                pipeline = await self.ap.pipeline_mgr.get_pipeline_by_uuid(pipeline_uuid)
                                if pipeline:
                                    await pipeline.run(selected_query)
+                                else:
+                                    self.ap.logger.warning(
+                                        f'Pipeline {pipeline_uuid} not found for query {selected_query.query_id}, query dropped'
+                                    )
+                            else:
+                                self.ap.logger.warning(
+                                    f'No pipeline_uuid for query {selected_query.query_id}, query dropped'
+                                )

                        async with self.ap.query_pool:
                            (await self.ap.sess_mgr.get_session(selected_query))._semaphore.release()
--- a/src/langbot/pkg/pipeline/pipelinemgr.py
+++ b/src/langbot/pkg/pipeline/pipelinemgr.py
@@ -323,6 +323,9 @@ class RuntimePipeline:
            event_ctx = await self.ap.plugin_connector.emit_event(event_obj, bound_plugins)

            if event_ctx.is_prevented_default():
+                self.ap.logger.debug(
+                    f'MessageReceived event prevented default for query {query.query_id}, pipeline={pipeline_name}'
+                )
                return

            self.ap.logger.debug(f'Processing query {query.query_id}')
--- a/src/langbot/pkg/pipeline/pool.py
+++ b/src/langbot/pkg/pipeline/pool.py
@@ -41,6 +41,7 @@ class QueryPool:
        message_chain: platform_message.MessageChain,
        adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
        pipeline_uuid: typing.Optional[str] = None,
+        routed_by_rule: bool = False,
    ) -> pipeline_query.Query:
        async with self.condition:
            query_id = self.query_id_counter
@@ -52,7 +53,7 @@ class QueryPool:
                sender_id=sender_id,
                message_event=message_event,
                message_chain=message_chain,
-                variables={},
+                variables={'_routed_by_rule': routed_by_rule},
                resp_messages=[],
                resp_message_chain=[],
                adapter=adapter,
--- a/src/langbot/pkg/pipeline/preproc/preproc.py
+++ b/src/langbot/pkg/pipeline/preproc/preproc.py
@@ -160,7 +160,6 @@ class PreProcessor(stage.PipelineStage):
                elif me.url:
                    content_list.append(provider_message.ContentElement.from_file_url(me.url, 'voice'))
            elif isinstance(me, platform_message.File):
-                # if me.url is not None:
                content_list.append(provider_message.ContentElement.from_file_url(me.url, me.name))
            elif isinstance(me, platform_message.Quote) and quote_msg:
                for msg in me.origin:
@@ -172,6 +171,15 @@ class PreProcessor(stage.PipelineStage):
                        ):
                            if msg.base64 is not None:
                                content_list.append(provider_message.ContentElement.from_image_base64(msg.base64))
+                    elif isinstance(msg, platform_message.File):
+                        content_list.append(provider_message.ContentElement.from_file_url(msg.url, msg.name))
+                    elif isinstance(msg, platform_message.Voice):
+                        if msg.base64:
+                            content_list.append(
+                                provider_message.ContentElement.from_file_base64(msg.base64, 'voice.silk')
+                            )
+                        elif msg.url:
+                            content_list.append(provider_message.ContentElement.from_file_url(msg.url, 'voice'))

        query.variables['user_message_text'] = plain_text

--- a/src/langbot/pkg/pipeline/process/handlers/chat.py
+++ b/src/langbot/pkg/pipeline/process/handlers/chat.py
@@ -61,6 +61,9 @@ class ChatMessageHandler(handler.MessageHandler):

                yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
            else:
+                self.ap.logger.debug(
+                    f'NormalMessageReceived event prevented default for query {query.query_id} without reply'
+                )
                yield entities.StageProcessResult(result_type=entities.ResultType.INTERRUPT, new_query=query)
        else:
            if event_ctx.event.user_message_alter is not None:
@@ -205,6 +208,7 @@ class ChatMessageHandler(handler.MessageHandler):
                        'model_name': model_name,
                        'version': constants.semantic_version,
                        'instance_id': constants.instance_id,
+                        'edition': constants.edition,
                        'pipeline_plugins': pipeline_plugins,
                        'error': locals().get('error_info', None),
                        'timestamp': datetime.utcnow().isoformat(),
--- a/src/langbot/pkg/pipeline/resprule/resprule.py
+++ b/src/langbot/pkg/pipeline/resprule/resprule.py
@@ -37,6 +37,10 @@ class GroupRespondRuleCheckStage(stage.PipelineStage):
        if query.launcher_type.value != 'group':  # 只处理群消息
            return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)

+        # 通过路由规则明确指定的流水线，跳过群响应规则检查
+        if query.variables and query.variables.get('_routed_by_rule', False):
+            return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
+
        rules = query.pipeline_config['trigger']['group-respond-rules']

        use_rule = rules
--- a/src/langbot/pkg/platform/botmgr.py
+++ b/src/langbot/pkg/platform/botmgr.py
@@ -1,6 +1,8 @@
 from __future__ import annotations

 import asyncio
+import json
+import re
 import traceback
 import sqlalchemy

@@ -9,6 +11,7 @@ from ..core import app, entities as core_entities, taskmgr
 from ..discover import engine

 from ..entity.persistence import bot as persistence_bot
+from ..entity.persistence import pipeline as persistence_pipeline

 from ..entity.errors import platform as platform_errors

@@ -51,6 +54,148 @@ class RuntimeBot:
        self.task_context = taskmgr.TaskContext()
        self.logger = logger

+    @staticmethod
+    def _match_operator(actual: str, operator: str, expected: str) -> bool:
+        """Evaluate a single operator condition."""
+        if operator == 'eq':
+            return actual == expected
+        elif operator == 'neq':
+            return actual != expected
+        elif operator == 'contains':
+            return expected in actual
+        elif operator == 'not_contains':
+            return expected not in actual
+        elif operator == 'starts_with':
+            return actual.startswith(expected)
+        elif operator == 'regex':
+            try:
+                return bool(re.search(expected, actual))
+            except re.error:
+                return False
+        return False
+
+    PIPELINE_DISCARD = '__discard__'
+    PIPELINE_DISCARD_DISPLAY_NAME = 'Discarded'
+
+    def resolve_pipeline_uuid(
+        self,
+        launcher_type: str,
+        launcher_id: str,
+        message_text: str,
+        message_element_types: list[str] | None = None,
+    ) -> tuple[str | None, bool]:
+        """Resolve pipeline UUID based on routing rules.
+
+        Rules are evaluated in order; first match wins.
+        Falls back to use_pipeline_uuid if no rule matches.
+
+        Rule types:
+          - launcher_type: session type ("person" / "group")
+          - launcher_id: session / group id
+          - message_content: message text content
+          - message_has_element: message contains element of given type
+            (Image, Voice, File, Forward, Face, At, AtAll, Quote)
+            Operators: eq (has), neq (doesn't have)
+
+        Operators: eq, neq, contains, not_contains, starts_with, regex
+
+        When pipeline_uuid is ``__discard__``, the message should be
+        silently dropped by the caller.
+
+        Returns:
+            tuple: (pipeline_uuid, routed_by_rule) - routed_by_rule is True
+            when a routing rule matched, False when falling back to default.
+        """
+        rules = self.bot_entity.pipeline_routing_rules or []
+        element_type_set = set(message_element_types or [])
+
+        for rule in rules:
+            rule_type = rule.get('type')
+            operator = rule.get('operator', 'eq')
+            rule_value = rule.get('value', '')
+            target_uuid = rule.get('pipeline_uuid')
+            if not rule_type or not target_uuid:
+                continue
+
+            if rule_type == 'launcher_type':
+                if self._match_operator(launcher_type, operator, rule_value):
+                    return target_uuid, True
+            elif rule_type == 'launcher_id':
+                if self._match_operator(str(launcher_id), operator, str(rule_value)):
+                    return target_uuid, True
+            elif rule_type == 'message_content':
+                if self._match_operator(message_text, operator, rule_value):
+                    return target_uuid, True
+            elif rule_type == 'message_has_element':
+                has_element = rule_value in element_type_set
+                if operator == 'eq' and has_element:
+                    return target_uuid, True
+                elif operator == 'neq' and not has_element:
+                    return target_uuid, True
+
+        return self.bot_entity.use_pipeline_uuid, False
+
+    async def _record_discarded_message(
+        self,
+        launcher_type: provider_session.LauncherTypes,
+        launcher_id: str | int,
+        sender_id: str | int,
+        message_event: platform_events.MessageEvent,
+        message_chain: platform_message.MessageChain,
+    ) -> None:
+        """Record a discarded message in the monitoring system."""
+        try:
+            if hasattr(message_chain, 'model_dump'):
+                message_content = json.dumps(message_chain.model_dump(), ensure_ascii=False)
+            else:
+                message_content = str(message_chain)
+
+            sender_name = None
+            if hasattr(message_event, 'sender'):
+                if hasattr(message_event.sender, 'nickname'):
+                    sender_name = message_event.sender.nickname
+                elif hasattr(message_event.sender, 'member_name'):
+                    sender_name = message_event.sender.member_name
+
+            # Use the same session_id format as monitoring_helper.py
+            session_id = f'{launcher_type}_{launcher_id}'
+            platform = launcher_type.value if hasattr(launcher_type, 'value') else str(launcher_type)
+
+            await self.ap.monitoring_service.record_message(
+                bot_id=self.bot_entity.uuid,
+                bot_name=self.bot_entity.name or self.bot_entity.uuid,
+                pipeline_id=self.PIPELINE_DISCARD,
+                pipeline_name=self.PIPELINE_DISCARD_DISPLAY_NAME,
+                message_content=message_content,
+                session_id=session_id,
+                status='discarded',
+                level='info',
+                platform=platform,
+                user_id=str(sender_id),
+                user_name=sender_name,
+            )
+
+            # Ensure the session exists so the message appears in the session monitor.
+            # Don't overwrite pipeline info — a session may have messages from
+            # multiple pipelines; discarding shouldn't change the displayed pipeline.
+            session_updated = await self.ap.monitoring_service.update_session_activity(
+                session_id,
+            )
+            if not session_updated:
+                # No session yet (first message for this launcher was discarded).
+                await self.ap.monitoring_service.record_session_start(
+                    session_id=session_id,
+                    bot_id=self.bot_entity.uuid,
+                    bot_name=self.bot_entity.name or self.bot_entity.uuid,
+                    pipeline_id=self.PIPELINE_DISCARD,
+                    pipeline_name=self.PIPELINE_DISCARD_DISPLAY_NAME,
+                    platform=platform,
+                    user_id=str(sender_id),
+                    user_name=sender_name,
+                )
+        except Exception as e:
+            await self.logger.error(f'Failed to record discarded message: {e}')
+
    async def initialize(self):
        async def on_friend_message(
            event: platform_events.FriendMessage,
@@ -82,6 +227,23 @@ class RuntimeBot:
                    if custom_launcher_id:
                        launcher_id = custom_launcher_id

+                message_text = str(event.message_chain)
+                element_types = [comp.type for comp in event.message_chain]
+                pipeline_uuid, routed_by_rule = self.resolve_pipeline_uuid(
+                    'person', launcher_id, message_text, element_types
+                )
+
+                if pipeline_uuid == self.PIPELINE_DISCARD:
+                    await self.logger.info('Person message discarded by routing rule')
+                    await self._record_discarded_message(
+                        provider_session.LauncherTypes.PERSON,
+                        launcher_id,
+                        event.sender.id,
+                        event,
+                        event.message_chain,
+                    )
+                    return
+
                await self.ap.msg_aggregator.add_message(
                    bot_uuid=self.bot_entity.uuid,
                    launcher_type=provider_session.LauncherTypes.PERSON,
@@ -90,7 +252,8 @@ class RuntimeBot:
                    message_event=event,
                    message_chain=event.message_chain,
                    adapter=adapter,
-                    pipeline_uuid=self.bot_entity.use_pipeline_uuid,
+                    pipeline_uuid=pipeline_uuid,
+                    routed_by_rule=routed_by_rule,
                )
            else:
                await self.logger.info('Pipeline skipped for person message due to webhook response')
@@ -125,6 +288,23 @@ class RuntimeBot:
                    if custom_launcher_id:
                        launcher_id = custom_launcher_id

+                message_text = str(event.message_chain)
+                element_types = [comp.type for comp in event.message_chain]
+                pipeline_uuid, routed_by_rule = self.resolve_pipeline_uuid(
+                    'group', launcher_id, message_text, element_types
+                )
+
+                if pipeline_uuid == self.PIPELINE_DISCARD:
+                    await self.logger.info('Group message discarded by routing rule')
+                    await self._record_discarded_message(
+                        provider_session.LauncherTypes.GROUP,
+                        launcher_id,
+                        event.sender.id,
+                        event,
+                        event.message_chain,
+                    )
+                    return
+
                await self.ap.msg_aggregator.add_message(
                    bot_uuid=self.bot_entity.uuid,
                    launcher_type=provider_session.LauncherTypes.GROUP,
@@ -133,7 +313,8 @@ class RuntimeBot:
                    message_event=event,
                    message_chain=event.message_chain,
                    adapter=adapter,
-                    pipeline_uuid=self.bot_entity.use_pipeline_uuid,
+                    pipeline_uuid=pipeline_uuid,
+                    routed_by_rule=routed_by_rule,
                )
            else:
                await self.logger.info('Pipeline skipped for group message due to webhook response')
@@ -141,6 +322,50 @@ class RuntimeBot:
        self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
        self.adapter.register_listener(platform_events.GroupMessage, on_group_message)

+        # Register feedback listener (only effective on adapters that support it)
+        async def on_feedback(
+            event: platform_events.FeedbackEvent,
+            adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
+        ):
+            try:
+                # Resolve pipeline name
+                pipeline_name = ''
+                if self.bot_entity.use_pipeline_uuid:
+                    try:
+                        pipeline_result = await self.ap.persistence_mgr.execute_async(
+                            sqlalchemy.select(persistence_pipeline.LegacyPipeline.name).where(
+                                persistence_pipeline.LegacyPipeline.uuid == self.bot_entity.use_pipeline_uuid
+                            )
+                        )
+                        pipeline_row = pipeline_result.first()
+                        if pipeline_row:
+                            pipeline_name = pipeline_row[0]
+                    except Exception:
+                        pass
+
+                await self.ap.monitoring_service.record_feedback(
+                    feedback_id=event.feedback_id,
+                    feedback_type=event.feedback_type,
+                    feedback_content=event.feedback_content,
+                    inaccurate_reasons=event.inaccurate_reasons,
+                    bot_id=self.bot_entity.uuid,
+                    bot_name=self.bot_entity.name,
+                    pipeline_id=self.bot_entity.use_pipeline_uuid or '',
+                    pipeline_name=pipeline_name,
+                    session_id=event.session_id,
+                    message_id=event.message_id,
+                    stream_id=event.stream_id,
+                    user_id=event.user_id,
+                    platform=adapter.__class__.__name__,
+                )
+                await self.logger.info(
+                    f'Recorded feedback: feedback_id={event.feedback_id}, type={event.feedback_type}'
+                )
+            except Exception:
+                await self.logger.error(f'Failed to record feedback: {traceback.format_exc()}')
+
+        self.adapter.register_listener(platform_events.FeedbackEvent, on_feedback)
+
    async def run(self):
        async def exception_wrapper():
            try:
@@ -196,12 +421,20 @@ class PlatformManager:
        # delete all bot log images
        await self.ap.storage_mgr.storage_provider.delete_dir_recursive('bot_log_images')

+        disabled_adapters = self.ap.instance_config.data.get('system', {}).get('disabled_adapters', []) or []
+
        self.adapter_components = self.ap.discover.get_components_by_kind('MessagePlatformAdapter')
        adapter_dict: dict[str, type[abstract_platform_adapter.AbstractMessagePlatformAdapter]] = {}
        for component in self.adapter_components:
+            if component.metadata.name in disabled_adapters:
+                continue
            adapter_dict[component.metadata.name] = component.get_python_component_class()
        self.adapter_dict = adapter_dict

+        # Filter out disabled adapters from components list (for API responses)
+        if disabled_adapters:
+            self.adapter_components = [c for c in self.adapter_components if c.metadata.name not in disabled_adapters]
+
        # initialize websocket adapter
        websocket_adapter_class = self.adapter_dict['websocket']
        websocket_logger = EventLogger(name='websocket-adapter', ap=self.ap)
--- a/src/langbot/pkg/platform/sources/aiocqhttp.yaml
+++ b/src/langbot/pkg/platform/sources/aiocqhttp.yaml
@@ -5,19 +5,29 @@ metadata:
  label:
    en_US: OneBot v11
    zh_Hans: OneBot v11
+    zh_Hant: OneBot v11
  description:
-    en_US: OneBot v11 Adapter
-    zh_Hans: OneBot v11 适配器，请查看文档了解使用方式
+    en_US: OneBot v11 Adapter, used for QQ bots
+    zh_Hans: OneBot v11 适配器，用于接入 QQ 机器人协议端，请查看文档了解使用方式
+    zh_Hant: OneBot v11 適配器，用於接入 QQ 機器人協定端，請查看文件了解使用方式
  icon: onebot.png
 spec:
+  categories:
+    - protocol
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/aiocqhttp
+    en: https://link.langbot.app/en/platforms/aiocqhttp
+    ja: https://link.langbot.app/ja/platforms/aiocqhttp
  config:
    - name: host
      label:
        en_US: Host
        zh_Hans: 主机
+        zh_Hant: 主機
      description:
        en_US: The host that OneBot v11 listens on for reverse WebSocket connections. Unless you know what you're doing, use 0.0.0.0
        zh_Hans: OneBot v11 监听的反向 WS 主机，除非你知道自己在做什么，否则请写 0.0.0.0
+        zh_Hant: OneBot v11 監聽的反向 WS 主機，除非你知道自己在做什麼，否則請填 0.0.0.0
      type: string
      required: true
      default: 0.0.0.0
@@ -25,9 +35,11 @@ spec:
      label:
        en_US: Port
        zh_Hans: 端口
+        zh_Hant: 連接埠
      description:
        en_US: Port
        zh_Hans: 监听的端口
+        zh_Hant: 監聽的連接埠
      type: integer
      required: true
      default: 2280
@@ -35,9 +47,11 @@ spec:
      label:
        en_US: Access Token
        zh_Hans: 访问令牌
+        zh_Hant: 存取令牌
      description:
        en_US: Custom connection token for the protocol endpoint. If the protocol endpoint is not set, don't fill it
        zh_Hans: 自定义的与协议端的连接令牌，若协议端未设置，则不填
+        zh_Hant: 自訂的與協定端的連線令牌，若協定端未設定，則不填
      type: string
      required: false
      default: ""
--- a/src/langbot/pkg/platform/sources/dingtalk.py
+++ b/src/langbot/pkg/platform/sources/dingtalk.py
@@ -71,7 +71,8 @@ class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverte
                    yiri_msg_list.append(platform_message.Image(base64=element['Picture']))
        else:
            # 回退到原有简单逻辑
-            if event.content:
+            # 对于音频消息，content 来自 recognition 转写文字，在下方音频处理块中统一处理
+            if event.content and event.type != 'audio':
                text_content = event.content.replace('@' + bot_name, '')
                yiri_msg_list.append(platform_message.Plain(text=text_content))
            if event.picture:
@@ -81,7 +82,38 @@ class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverte
        if event.file:
            yiri_msg_list.append(platform_message.File(url=event.file, name=event.name))
        if event.audio:
-            yiri_msg_list.append(platform_message.Voice(base64=event.audio))
+            # 优先使用钉钉自带的语音转写文字（recognition字段）
+            if event.content and event.type == 'audio':
+                yiri_msg_list.append(platform_message.Plain(text=event.content))
+            else:
+                yiri_msg_list.append(platform_message.Voice(base64=event.audio))
+
+        # Handle quoted/replied message - extract content as top-level components
+        # so that plugins like FileReader can process them the same way as direct messages
+        if event.quoted_message:
+            quote_info = event.quoted_message
+            msg_type = quote_info.get('msg_type', '')
+
+            # Process quoted file - add as top-level File component (same as private chat)
+            if msg_type == 'file' and quote_info.get('file_url'):
+                file_name = quote_info.get('file_name', 'file')
+                yiri_msg_list.append(platform_message.File(url=quote_info['file_url'], name=file_name))
+
+            # Process quoted image - add as top-level Image component
+            elif msg_type == 'picture' and quote_info.get('picture'):
+                yiri_msg_list.append(platform_message.Image(base64=quote_info['picture']))
+
+            # Process quoted audio - add as top-level Voice component
+            elif msg_type == 'audio' and quote_info.get('audio'):
+                yiri_msg_list.append(platform_message.Voice(base64=quote_info['audio']))
+
+            # Process quoted text - add as Plain text with context prefix
+            elif msg_type == 'text' and quote_info.get('content'):
+                yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info["content"]}'))
+
+            # Process quoted rich text - add as Plain text with context prefix
+            elif msg_type == 'richText' and quote_info.get('content'):
+                yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info["content"]}'))

        chain = platform_message.MessageChain(yiri_msg_list)

--- a/src/langbot/pkg/platform/sources/dingtalk.yaml
+++ b/src/langbot/pkg/platform/sources/dingtalk.yaml
@@ -5,16 +5,25 @@ metadata:
  label:
    en_US: DingTalk
    zh_Hans: 钉钉
+    zh_Hant: 釘釘
  description:
    en_US: DingTalk Adapter
    zh_Hans: 钉钉适配器，请查看文档了解使用方式
+    zh_Hant: 釘釘適配器，請查看文件了解使用方式
  icon: dingtalk.svg
 spec:
+  categories:
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/dingtalk
+    en: https://link.langbot.app/en/platforms/dingtalk
+    ja: https://link.langbot.app/ja/platforms/dingtalk
  config:
    - name: client_id
      label:
        en_US: Client ID
        zh_Hans: 客户端ID
+        zh_Hant: 用戶端ID
      type: string
      required: true
      default: ""
@@ -22,6 +31,7 @@ spec:
      label:
        en_US: Client Secret
        zh_Hans: 客户端密钥
+        zh_Hant: 用戶端密鑰
      type: string
      required: true
      default: ""
@@ -29,6 +39,7 @@ spec:
      label:
        en_US: Robot Code
        zh_Hans: 机器人代码
+        zh_Hant: 機器人代碼
      type: string
      required: true
      default: ""
@@ -36,6 +47,7 @@ spec:
      label:
        en_US: Robot Name
        zh_Hans: 机器人名称
+        zh_Hant: 機器人名稱
      type: string
      required: true
      default: ""
@@ -43,6 +55,7 @@ spec:
      label:
        en_US: Markdown Card
        zh_Hans: 是否使用 Markdown 卡片
+        zh_Hant: 是否使用 Markdown 卡片
      type: boolean
      required: false
      default: true
@@ -50,9 +63,11 @@ spec:
      label:
        en_US: Enable Stream Reply Mode
        zh_Hans: 启用钉钉卡片流式回复模式
+        zh_Hant: 啟用釘釘卡片串流回覆模式
      description:
        en_US: If enabled, the bot will use the stream of lark reply mode
        zh_Hans: 如果启用，将使用钉钉卡片流式方式来回复内容
+        zh_Hant: 如果啟用，將使用釘釘卡片串流方式來回覆內容
      type: boolean
      required: true
      default: false
@@ -60,6 +75,7 @@ spec:
      label:
        en_US: Card Auto Layout
        zh_Hans: 卡片宽屏自动布局
+        zh_Hant: 卡片寬螢幕自動佈局
      type: boolean
      required: false
      default: false
@@ -67,6 +83,7 @@ spec:
      label:
        en_US: card template id
        zh_Hans: 卡片模板ID
+        zh_Hant: 卡片範本ID
      type: string
      required: true
      default: "填写你的卡片template_id"
--- a/src/langbot/pkg/platform/sources/discord.yaml
+++ b/src/langbot/pkg/platform/sources/discord.yaml
@@ -5,16 +5,38 @@ metadata:
  label:
    en_US: Discord
    zh_Hans: Discord
+    zh_Hant: Discord
+    ja_JP: Discord
+    th_TH: Discord
+    vi_VN: Discord
+    es_ES: Discord
  description:
    en_US: Discord Adapter
-    zh_Hans: Discord 适配器，请查看文档了解使用方式
+    zh_Hans: Discord 适配器，需要可连接 Discord 服务器的网络环境
+    zh_Hant: Discord 適配器，需要可連線 Discord 伺服器的網路環境
+    ja_JP: Discord アダプター、Discord サーバーに接続可能なネットワーク環境が必要です
+    th_TH: อะแดปเตอร์ Discord ต้องการสภาพแวดล้อมเครือข่ายที่สามารถเชื่อมต่อกับเซิร์ฟเวอร์ Discord ได้
+    vi_VN: Bộ điều hợp Discord, cần môi trường mạng có thể kết nối với máy chủ Discord
+    es_ES: Adaptador de Discord, requiere un entorno de red con acceso al servidor de Discord
  icon: discord.svg
 spec:
+  categories:
+    - popular
+    - global
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/discord
+    en: https://link.langbot.app/en/platforms/discord
+    ja: https://link.langbot.app/ja/platforms/discord
  config:
    - name: client_id
      label:
        en_US: Client ID
        zh_Hans: 客户端ID
+        zh_Hant: 用戶端ID
+        ja_JP: クライアント ID
+        th_TH: รหัสไคลเอนต์
+        vi_VN: ID khách hàng
+        es_ES: ID de cliente
      type: string
      required: true
      default: ""
@@ -22,6 +44,11 @@ spec:
      label:
        en_US: Token
        zh_Hans: 令牌
+        zh_Hant: 令牌
+        ja_JP: トークン
+        th_TH: โทเค็น
+        vi_VN: Mã thông báo
+        es_ES: Token
      type: string
      required: true
      default: ""
--- a/src/langbot/pkg/platform/sources/kook.yaml
+++ b/src/langbot/pkg/platform/sources/kook.yaml
@@ -5,16 +5,25 @@ metadata:
  label:
    en_US: KOOK
    zh_Hans: KOOK
+    zh_Hant: KOOK
  description:
    en_US: KOOK Adapter (formerly KaiHeiLa)
    zh_Hans: KOOK 适配器(原开黑啦)，支持频道消息和私聊消息
+    zh_Hant: KOOK 適配器（原開黑啦），支援頻道訊息和私聊訊息
  icon: kook.png
 spec:
+  categories:
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/kook
+    en: https://link.langbot.app/en/platforms/kook
+    ja: https://link.langbot.app/ja/platforms/kook
  config:
    - name: token
      label:
        en_US: Bot Token
        zh_Hans: 机器人令牌
+        zh_Hant: 機器人令牌
      type: string
      required: true
      default: ""
--- a/src/langbot/pkg/platform/sources/lark.py
+++ b/src/langbot/pkg/platform/sources/lark.py
@@ -709,21 +709,29 @@ class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
        message_chain = await LarkMessageConverter.target2yiri(event.event.message, api_client)

        # Check for quote/reply message
+        # Extract files/images/voice from quote and add them as top-level components
+        # so that plugins like FileReader can process them the same way as direct messages
        quote_message_id = LarkEventConverter._extract_quote_message_id(event.event.message)
        if quote_message_id:
            quote_chain = await LarkEventConverter._fetch_quoted_message(quote_message_id, api_client)
            if quote_chain:
                # Filter out Source component from quoted chain, keep only content
-                quote_origin = platform_message.MessageChain(
-                    [comp for comp in quote_chain if not isinstance(comp, platform_message.Source)]
-                )
-                if quote_origin:
-                    message_chain.append(
-                        platform_message.Quote(
-                            message_id=quote_message_id,
-                            origin=quote_origin,
-                        )
-                    )
+                quote_components = [comp for comp in quote_chain if not isinstance(comp, platform_message.Source)]
+
+                # Add quoted content as top-level components instead of wrapping in Quote
+                for comp in quote_components:
+                    if isinstance(comp, platform_message.File):
+                        # Add file as top-level component (same as direct message)
+                        message_chain.append(comp)
+                    elif isinstance(comp, platform_message.Image):
+                        # Add image as top-level component
+                        message_chain.append(comp)
+                    elif isinstance(comp, platform_message.Voice):
+                        # Add voice as top-level component
+                        message_chain.append(comp)
+                    elif isinstance(comp, platform_message.Plain):
+                        # Add text with context prefix
+                        message_chain.append(platform_message.Plain(text=f'[引用消息] {comp.text}'))

        if event.event.message.chat_type == 'p2p':
            return platform_events.FriendMessage(
@@ -797,8 +805,65 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
        def sync_on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
            asyncio.create_task(on_message(event))

+        def sync_on_card_action(event):
+            try:
+                action_value_obj = getattr(getattr(event.event, 'action', None), 'value', {})
+                action_value = action_value_obj.get('feedback', '') if isinstance(action_value_obj, dict) else ''
+
+                if action_value == '有帮助':
+                    feedback_type = 1
+                elif action_value == '无帮助':
+                    feedback_type = 2
+                else:
+                    from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
+
+                    return P2CardActionTriggerResponse({'toast': {'type': 'success', 'content': '操作成功'}})
+
+                operator = getattr(event.event, 'operator', None)
+                context = getattr(event.event, 'context', None)
+
+                user_id = getattr(operator, 'open_id', None) or getattr(operator, 'user_id', None)
+                open_chat_id = getattr(context, 'open_chat_id', None)
+                open_message_id = getattr(context, 'open_message_id', None)
+
+                if open_chat_id:
+                    session_id = f'group_{open_chat_id}'
+                elif user_id:
+                    session_id = f'person_{user_id}'
+                else:
+                    session_id = None
+
+                feedback_event = platform_events.FeedbackEvent(
+                    feedback_id=getattr(event.header, 'event_id', str(uuid.uuid4())),
+                    feedback_type=feedback_type,
+                    feedback_content=action_value,
+                    user_id=user_id,
+                    session_id=session_id,
+                    message_id=open_message_id,
+                    source_platform_object=event,
+                )
+
+                if platform_events.FeedbackEvent in self.listeners:
+                    loop = asyncio.get_event_loop()
+                    if loop.is_running():
+                        asyncio.create_task(self.listeners[platform_events.FeedbackEvent](feedback_event, self))
+                    else:
+                        loop.run_until_complete(self.listeners[platform_events.FeedbackEvent](feedback_event, self))
+
+                from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
+
+                return P2CardActionTriggerResponse({'toast': {'type': 'success', 'content': '感谢您的反馈'}})
+            except Exception:
+                asyncio.create_task(self.logger.error(f'Error in lark card action callback: {traceback.format_exc()}'))
+                from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
+
+                return P2CardActionTriggerResponse({'toast': {'type': 'error', 'content': '反馈处理失败'}})
+
        event_handler = (
-            lark_oapi.EventDispatcherHandler.builder('', '').register_p2_im_message_receive_v1(sync_on_message).build()
+            lark_oapi.EventDispatcherHandler.builder('', '')
+            .register_p2_im_message_receive_v1(sync_on_message)
+            .register_p2_card_action_trigger(sync_on_card_action)
+            .build()
        )

        bot_account_id = config['bot_name']
@@ -1088,6 +1153,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                                            'size': 'medium',
                                            'icon': {'tag': 'standard_icon', 'token': 'thumbsup_outlined'},
                                            'hover_tips': {'tag': 'plain_text', 'content': '有帮助'},
+                                            'behaviors': [{'type': 'callback', 'value': {'feedback': '有帮助'}}],
                                            'margin': '0px 0px 0px 0px',
                                        }
                                    ],
@@ -1111,6 +1177,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                                            'size': 'medium',
                                            'icon': {'tag': 'standard_icon', 'token': 'thumbdown_outlined'},
                                            'hover_tips': {'tag': 'plain_text', 'content': '无帮助'},
+                                            'behaviors': [{'type': 'callback', 'value': {'feedback': '无帮助'}}],
                                            'margin': '0px 0px 0px 0px',
                                        }
                                    ],
@@ -1472,6 +1539,52 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):

                if event.__class__ in self.listeners:
                    await self.listeners[event.__class__](event, self)
+            elif 'card.action.trigger' == type:
+                try:
+                    event_data = data.get('event', {})
+                    operator = event_data.get('operator', {})
+                    action = event_data.get('action', {})
+                    context_data = event_data.get('context', {})
+
+                    action_value_obj = action.get('value', {})
+                    action_value = action_value_obj.get('feedback', '') if isinstance(action_value_obj, dict) else ''
+
+                    if action_value == '有帮助':
+                        feedback_type = 1
+                    elif action_value == '无帮助':
+                        feedback_type = 2
+                    else:
+                        return {'toast': {'type': 'success', 'content': '操作成功'}}
+
+                    user_id = operator.get('open_id') or operator.get('user_id')
+                    open_chat_id = context_data.get('open_chat_id')
+                    open_message_id = context_data.get('open_message_id')
+
+                    if open_chat_id:
+                        session_id = f'group_{open_chat_id}'
+                    elif user_id:
+                        session_id = f'person_{user_id}'
+                    else:
+                        session_id = None
+
+                    feedback_event = platform_events.FeedbackEvent(
+                        feedback_id=data.get('header', {}).get('event_id', str(uuid.uuid4())),
+                        feedback_type=feedback_type,
+                        feedback_content=action_value,
+                        user_id=user_id,
+                        session_id=session_id,
+                        message_id=open_message_id,
+                        source_platform_object=data,
+                    )
+
+                    if platform_events.FeedbackEvent in self.listeners:
+                        await self.listeners[platform_events.FeedbackEvent](feedback_event, self)
+
+                    return {'toast': {'type': 'success', 'content': '感谢您的反馈'}}
+                except Exception:
+                    await self.logger.error(f'Error in lark card action callback: {traceback.format_exc()}')
+                    return {'toast': {'type': 'error', 'content': '反馈处理失败'}}
+
            elif 'im.chat.member.bot.added_v1' == type:
                try:
                    bot_added_welcome_msg = self.config.get('bot_added_welcome', '')
--- a/src/langbot/pkg/platform/sources/lark.yaml
+++ b/src/langbot/pkg/platform/sources/lark.yaml
@@ -5,16 +5,30 @@ metadata:
  label:
    en_US: Lark
    zh_Hans: 飞书
+    zh_Hant: 飛書
+    ja_JP: Lark
  description:
-    en_US: Lark Adapter
-    zh_Hans: 飞书适配器，请查看文档了解使用方式
+    en_US: Lark Adapter, supports both long connection and Webhook modes. Please refer to the documentation for usage details.
+    zh_Hans: 飞书适配器，支持长连接和 Webhook 两种接入方式，请查看文档了解使用方式
+    zh_Hant: 飛書適配器，支援長連線和 Webhook 兩種接入方式，請查看文件了解使用方式
+    ja_JP: Lark アダプター、長期接続およびWebhookモードの両方をサポートしています。使用方法の詳細については、ドキュメントを参照してください。
  icon: lark.svg
 spec:
+  categories:
+    - popular
+    - china
+    - global
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/lark
+    en: https://link.langbot.app/en/platforms/lark
+    ja: https://link.langbot.app/ja/platforms/lark
  config:
    - name: app_id
      label:
        en_US: App ID
        zh_Hans: 应用ID
+        zh_Hant: 應用ID
+        ja_JP: アプリ ID
      type: string
      required: true
      default: ""
@@ -22,6 +36,8 @@ spec:
      label:
        en_US: App Secret
        zh_Hans: 应用密钥
+        zh_Hant: 應用密鑰
+        ja_JP: アプリシークレット
      type: string
      required: true
      default: ""
@@ -29,9 +45,13 @@ spec:
      label:
        en_US: Bot Name
        zh_Hans: 机器人名称
+        zh_Hant: 機器人名稱
+        ja_JP: ボット名
      description:
        en_US: Must be the same as the name of the bot in Lark, otherwise the bot will not be able to receive messages in the group
        zh_Hans: 必须与飞书机器人名称一致，否则机器人将无法在群内正常接收消息
+        zh_Hant: 必須與飛書機器人名稱一致，否則機器人將無法在群組內正常接收訊息
+        ja_JP: Lark のボット名と一致する必要があります。一致しない場合、グループ内でメッセージを受信できません
      type: string
      required: true
      default: ""
@@ -39,29 +59,63 @@ spec:
      label:
        en_US: Enable Webhook Mode
        zh_Hans: 启用Webhook模式
+        zh_Hant: 啟用 Webhook 模式
+        ja_JP: Webhook モードを有効化
      description:
        en_US: If enabled, the bot will use webhook mode to receive messages. Otherwise, it will use WS long connection mode
        zh_Hans: 如果启用，机器人将使用 Webhook 模式接收消息。否则，将使用 WS 长连接模式
+        zh_Hant: 如果啟用，機器人將使用 Webhook 模式接收訊息。否則，將使用 WS 長連線模式
+        ja_JP: 有効にすると、ボットは Webhook モードでメッセージを受信します。無効の場合は WS 長期接続モードを使用します
      type: boolean
      required: true
      default: false
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        zh_Hant: Webhook 回調地址
+        ja_JP: Webhook コールバック URL
+      description:
+        en_US: Copy this URL and paste it into your Lark app's webhook configuration
+        zh_Hans: 复制此地址并粘贴到飞书应用的 Webhook 配置中
+        zh_Hant: 複製此地址並貼到飛書應用的 Webhook 設定中
+        ja_JP: この URL をコピーして Lark アプリの Webhook 設定に貼り付けてください
+      type: webhook-url
+      required: false
+      default: ""
+      show_if:
+        field: enable-webhook
+        operator: eq
+        value: true
    - name: encrypt-key
      label:
        en_US: Encrypt Key
        zh_Hans: 加密密钥
+        zh_Hant: 加密密鑰
+        ja_JP: 暗号化キー
      description:
        en_US: Only valid when webhook mode is enabled, please fill in the encrypt key
        zh_Hans: 仅在启用 Webhook 模式时有效，请填写加密密钥
+        zh_Hant: 僅在啟用 Webhook 模式時有效，請填寫加密密鑰
+        ja_JP: Webhook モードが有効な場合にのみ有効です。暗号化キーを入力してください
      type: string
      required: true
      default: ""
+      show_if:
+        field: enable-webhook
+        operator: eq
+        value: true
    - name: enable-stream-reply
      label:
        en_US: Enable Stream Reply Mode
        zh_Hans: 启用飞书流式回复模式
+        zh_Hant: 啟用飛書串流回覆模式
+        ja_JP: ストリーミング返信モードを有効化
      description:
        en_US: If enabled, the bot will use the stream of lark reply mode
        zh_Hans: 如果启用，将使用飞书流式方式来回复内容
+        zh_Hant: 如果啟用，將使用飛書串流方式來回覆內容
+        ja_JP: 有効にすると、ボットはストリーミングモードでメッセージに返信します
      type: boolean
      required: true
      default: false
@@ -69,28 +123,40 @@ spec:
      label:
        en_US: App Type
        zh_Hans: 应用类型
+        zh_Hant: 應用類型
+        ja_JP: アプリタイプ
      description:
        en_US: Default to self-built application, refer to https://open.feishu.cn/document/platform-overveiw/overview
        zh_Hans: 默认为企业自建应用，参考 https://open.feishu.cn/document/platform-overveiw/overview
+        zh_Hant: 預設為企業自建應用，參考 https://open.feishu.cn/document/platform-overveiw/overview
+        ja_JP: デフォルトはカスタムアプリです。詳細は https://open.feishu.cn/document/platform-overveiw/overview を参照してください
      type: select
      options:
        - name: self
          label:
            en_US: Self-built Application
            zh_Hans: 自建应用
+            zh_Hant: 自建應用
+            ja_JP: カスタムアプリ
        - name: isv
          label:
            en_US: Store Application
            zh_Hans: 商店应用
+            zh_Hant: 商店應用
+            ja_JP: ストアアプリ
      required: false
      default: self
    - name: bot_added_welcome
      label:
        en_US: Bot Welcome Message
        zh_Hans: 机器人进群欢迎语
+        zh_Hant: 機器人進群歡迎語
+        ja_JP: ボット参加時のウェルカムメッセージ
      description:
        en_US: Welcome message when the bot is added to a group, supports Markdown format
        zh_Hans: 机器人进群欢迎语，支持 Markdown 格式
+        zh_Hant: 機器人進群歡迎語，支援 Markdown 格式
+        ja_JP: ボットがグループに追加された際のウェルカムメッセージ。Markdown 形式に対応しています
      type: text
      required: false
      default: ""
--- a/src/langbot/pkg/platform/sources/line.yaml
+++ b/src/langbot/pkg/platform/sources/line.yaml
@@ -5,20 +5,56 @@ metadata:
  label:
    en_US: LINE
    zh_Hans: LINE
+    zh_Hant: LINE
+    th_TH: LINE
+    vi_VN: LINE
+    es_ES: LINE
  description:
-    en_US: LINE Adapter
-    zh_Hans: LINE适配器，请查看文档了解使用方式
-    ja_JP: LINEアダプター、ドキュメントを参照してください
-    zh_Hant: LINE適配器，請查看文檔了解使用方式
+    en_US: LINE Adapter, requires a public URL to receive LINE message pushes, please refer to the documentation for usage details
+    zh_Hans: LINE适配器，需要公网地址以接收 LINE 消息推送，请查看文档了解使用方式
+    zh_Hant: LINE 適配器，需要公網地址以接收 LINE 訊息推送，請查看文件了解使用方式
+    ja_JP: LINEアダプター、LINEのメッセージプッシュを受信するためにパブリックURLが必要です。使用方法の詳細については、ドキュメントを参照してください。
+    th_TH: อะแดปเตอร์ LINE ต้องการ URL สาธารณะเพื่อรับการแจ้งเตือนข้อความจาก LINE โปรดดูเอกสารประกอบสำหรับรายละเอียดการใช้งาน
+    vi_VN: Bộ điều hợp LINE, cần URL công cộng để nhận thông báo tin nhắn LINE, vui lòng xem tài liệu để biết chi tiết cách sử dụng
+    es_ES: Adaptador de LINE, requiere una URL pública para recibir notificaciones de mensajes de LINE, consulte la documentación para obtener detalles de uso
  icon: line.png
 spec:
+  categories:
+    - global
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/line
+    en: https://link.langbot.app/en/platforms/line
+    ja: https://link.langbot.app/ja/platforms/line
  config:
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        ja_JP: Webhook コールバック URL
+        zh_Hant: Webhook 回調地址
+        th_TH: URL การเรียกกลับ Webhook
+        vi_VN: URL gọi lại Webhook
+        es_ES: URL de devolución de llamada Webhook
+      description:
+        en_US: Copy this URL and paste it into your LINE channel's webhook configuration
+        zh_Hans: 复制此地址并粘贴到 LINE 频道的 Webhook 配置中
+        ja_JP: この URL をコピーして LINE チャンネルの Webhook 設定に貼り付けてください
+        zh_Hant: 複製此地址並貼到 LINE 頻道的 Webhook 設定中
+        th_TH: คัดลอก URL นี้แล้ววางในการตั้งค่า Webhook ของช่อง LINE ของคุณ
+        vi_VN: Sao chép URL này và dán vào cấu hình webhook của kênh LINE của bạn
+        es_ES: Copie esta URL y péguela en la configuración de webhook de su canal LINE
+      type: webhook-url
+      required: false
+      default: ""
    - name: channel_access_token
      label:
        en_US: Channel access token
        zh_Hans: 频道访问令牌
        ja_JP: チャンネルアクセストークン
-        zh_Hant: 頻道訪問令牌
+        zh_Hant: 頻道存取令牌
+        th_TH: โทเค็นการเข้าถึงช่อง
+        vi_VN: Mã truy cập kênh
+        es_ES: Token de acceso del canal
      type: string
      required: true
      default: ""
@@ -27,12 +63,18 @@ spec:
        en_US: Channel secret
        zh_Hans: 消息密钥
        ja_JP: チャンネルシークレット
-        zh_Hant: 消息密钥
+        zh_Hant: 訊息密鑰
+        th_TH: รหัสลับช่อง
+        vi_VN: Khóa bí mật kênh
+        es_ES: Secreto del canal
      description:
        en_US: Only valid when webhook mode is enabled, please fill in the encrypt key
        zh_Hans: 请填写加密密钥
        ja_JP: Webhookモードが有効な場合にのみ、暗号化キーを入力してください
-        zh_Hant: 請填寫加密密钥
+        zh_Hant: 請填寫加密密鑰
+        th_TH: กรุณากรอกคีย์เข้ารหัส
+        vi_VN: Vui lòng điền khóa mã hóa
+        es_ES: Por favor, introduzca la clave de cifrado
      type: string
      required: true
      default: ""
--- a/src/langbot/pkg/platform/sources/officialaccount.yaml
+++ b/src/langbot/pkg/platform/sources/officialaccount.yaml
@@ -5,23 +5,44 @@ metadata:
  label:
    en_US: Official Account
    zh_Hans: 微信公众号
+    zh_Hant: 微信公眾號
  description:
    en_US: Official Account Adapter
-    zh_Hans: 微信公众号适配器，请查看文档了解使用方式
+    zh_Hans: 微信公众号适配器，需要公网地址以接收消息推送，请查看文档了解使用方式
+    zh_Hant: 微信公眾號適配器，需要公網地址以接收訊息推送，請查看文件了解使用方式
  icon: officialaccount.png
 spec:
+  categories:
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/officialaccount
+    en: https://link.langbot.app/en/platforms/officialaccount
+    ja: https://link.langbot.app/ja/platforms/officialaccount
  config:
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        zh_Hant: Webhook 回調地址
+      description:
+        en_US: Copy this URL and paste it into your Official Account webhook configuration
+        zh_Hans: 复制此地址并粘贴到微信公众号的 Webhook 配置中
+        zh_Hant: 複製此地址並貼到微信公眾號的 Webhook 設定中
+      type: webhook-url
+      required: false
+      default: ""
    - name: token
      label:
        en_US: Token
        zh_Hans: 令牌
-      type: string
+        zh_Hant: 令牌
      required: true
      default: ""
    - name: EncodingAESKey
      label:
        en_US: EncodingAESKey
        zh_Hans: 消息加解密密钥
+        zh_Hant: 訊息加解密密鑰
      type: string
      required: true
      default: ""
@@ -29,6 +50,7 @@ spec:
      label:
        en_US: App ID
        zh_Hans: 应用ID
+        zh_Hant: 應用ID
      type: string
      required: true
      default: ""
@@ -36,6 +58,7 @@ spec:
      label:
        en_US: App Secret
        zh_Hans: 应用密钥
+        zh_Hant: 應用密鑰
      type: string
      required: true
      default: ""
@@ -43,6 +66,7 @@ spec:
      label:
        en_US: Mode
        zh_Hans: 接入模式
+        zh_Hant: 接入模式
      type: string
      required: true
      default: "drop"
@@ -50,6 +74,7 @@ spec:
      label:
        en_US: Loading Message
        zh_Hans: 加载消息
+        zh_Hant: 載入訊息
      type: string
      required: true
      default: "AI正在思考中，请发送任意内容获取回复。"
@@ -57,9 +82,11 @@ spec:
      label:
        en_US: API Base URL
        zh_Hans: API 基础 URL
+        zh_Hant: API 基礎 URL
      description:
        en_US: API Base URL, used for accessing the Official Account API. If you are deploying in an internal network environment and accessing the Official Account API through a reverse proxy, please fill in this item according to the documentation.
        zh_Hans: 可选，若您部署在内网环境并通过反向代理访问微信公众号 API，可根据文档修改此项
+        zh_Hant: 可選，若您部署在內網環境並透過反向代理存取微信公眾號 API，可根據文件修改此項
      type: string
      required: false
      default: "https://api.weixin.qq.com"
--- a/src/langbot/pkg/platform/sources/openclaw_weixin.yaml
+++ b/src/langbot/pkg/platform/sources/openclaw_weixin.yaml
@@ -4,20 +4,31 @@ metadata:
  name: openclaw-weixin
  label:
    en_US: OpenClaw WeChat
-    zh_Hans: OpenClaw 微信
+    zh_Hans: 个人微信机器人
+    zh_Hant: 個人微信機器人
  description:
    en_US: OpenClaw WeChat adapter, supports personal WeChat via QR code login
-    zh_Hans: OpenClaw 微信适配器，通过扫码登录支持个人微信
+    zh_Hans: 微信官方个人助手，扫码即可登录使用
+    zh_Hant: 微信官方個人助手，掃碼即可登入使用
  icon: wechat.png
 spec:
+  categories:
+    - popular
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/openclaw_weixin
+    en: https://link.langbot.app/en/platforms/openclaw_weixin
+    ja: https://link.langbot.app/ja/platforms/openclaw_weixin
  config:
    - name: base_url
      label:
        en_US: API Base URL
        zh_Hans: API 基础地址
+        zh_Hant: API 基礎地址
      description:
        en_US: The base URL of the OpenClaw WeChat backend API
        zh_Hans: OpenClaw 微信后端 API 的基础地址
+        zh_Hant: OpenClaw 微信後端 API 的基礎地址
      type: string
      required: true
      default: "https://ilinkai.weixin.qq.com"
@@ -25,9 +36,11 @@ spec:
      label:
        en_US: Token
        zh_Hans: 令牌
+        zh_Hant: 令牌
      description:
        en_US: Bearer token obtained after QR code login authorization. Leave empty to trigger QR code login on startup.
-        zh_Hans: 扫码登录授权后获取的 Bearer 令牌。留空则启动时自动触发扫码登录。
+        zh_Hans: 扫码登录授权后获取的 Bearer 令牌。请留空并保存，将在启动时输出二维码到日志，扫码后即可自动登录。
+        zh_Hant: 掃碼登入授權後取得的 Bearer 令牌。請留空並儲存，將在啟動時輸出 QR Code 到日誌，掃碼後即可自動登入。
      type: string
      required: false
      default: ""
@@ -35,9 +48,11 @@ spec:
      label:
        en_US: Account ID
        zh_Hans: 账号标识
+        zh_Hant: 帳號標識
      description:
        en_US: A label for this WeChat account (used for display purposes)
        zh_Hans: 此微信账号的标识（用于显示）
+        zh_Hant: 此微信帳號的標識（用於顯示）
      type: string
      required: false
      default: "openclaw-weixin"
@@ -45,9 +60,11 @@ spec:
      label:
        en_US: Poll Timeout (seconds)
        zh_Hans: 轮询超时（秒）
+        zh_Hant: 輪詢逾時（秒）
      description:
        en_US: Long-poll timeout for getUpdates, the server may hold the request up to this duration
        zh_Hans: getUpdates 长轮询超时时间，服务端最多持有请求的时长
+        zh_Hant: getUpdates 長輪詢逾時時間，伺服端最多持有請求的時長
      type: integer
      required: false
      default: 35
--- a/src/langbot/pkg/platform/sources/qqofficial.yaml
+++ b/src/langbot/pkg/platform/sources/qqofficial.yaml
@@ -5,16 +5,37 @@ metadata:
  label:
    en_US: QQ Official API
    zh_Hans: QQ 官方 API
+    zh_Hant: QQ 官方 API
  description:
    en_US: QQ Official API (Webhook)
-    zh_Hans: QQ 官方 API (Webhook)，请查看文档了解使用方式
+    zh_Hans: QQ 官方 API (Webhook)，需要公网地址以接收消息推送，请查看文档了解使用方式
+    zh_Hant: QQ 官方 API (Webhook)，需要公網地址以接收訊息推送，請查看文件了解使用方式
  icon: qqofficial.svg
 spec:
+  categories:
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/qqofficial
+    en: https://link.langbot.app/en/platforms/qqofficial
+    ja: https://link.langbot.app/ja/platforms/qqofficial
  config:
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        zh_Hant: Webhook 回調地址
+      description:
+        en_US: Copy this URL and paste it into your QQ Official API webhook configuration
+        zh_Hans: 复制此地址并粘贴到 QQ 官方 API 的 Webhook 配置中
+        zh_Hant: 複製此地址並貼到 QQ 官方 API 的 Webhook 設定中
+      type: webhook-url
+      required: false
+      default: ""
    - name: appid
      label:
        en_US: App ID
        zh_Hans: 应用ID
+        zh_Hant: 應用ID
      type: string
      required: true
      default: ""
@@ -22,6 +43,7 @@ spec:
      label:
        en_US: Secret
        zh_Hans: 密钥
+        zh_Hant: 密鑰
      type: string
      required: true
      default: ""
@@ -29,6 +51,7 @@ spec:
      label:
        en_US: Token
        zh_Hans: 令牌
+        zh_Hant: 令牌
      type: string
      required: true
      default: ""
--- a/src/langbot/pkg/platform/sources/satori.yaml
+++ b/src/langbot/pkg/platform/sources/satori.yaml
@@ -5,36 +5,70 @@ metadata:
  label:
    en_US: Satori
    zh_Hans: Satori
+    zh_Hant: Satori
+    th_TH: Satori
+    vi_VN: Satori
+    es_ES: Satori
  description:
    en_US: SatoriAdapter
-    zh_Hans: 古明地觉协议适配器
+    zh_Hans: Satori 协议适配器，支持多种平台的接入，请查看文档了解使用方式
+    zh_Hant: Satori 協定適配器，支援多種平台的接入，請查看文件了解使用方式
+    th_TH: อะแดปเตอร์โปรโตคอล Satori รองรับการเชื่อมต่อหลายแพลตฟอร์ม โปรดดูเอกสารประกอบสำหรับวิธีการใช้งาน
+    vi_VN: Bộ điều hợp giao thức Satori, hỗ trợ kết nối nhiều nền tảng, vui lòng xem tài liệu để biết cách sử dụng
+    es_ES: Adaptador del protocolo Satori, soporta acceso a múltiples plataformas, consulte la documentación para obtener instrucciones de uso
  icon: satori.png
 spec:
+  categories:
+    - protocol
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/satori
+    en: https://link.langbot.app/en/platforms/satori
+    ja: https://link.langbot.app/ja/platforms/satori
  config:
    - name: platform
      label:
        en_US: Platform
        zh_Hans: 平台名称
+        zh_Hant: 平台名稱
+        th_TH: ชื่อแพลตฟอร์ม
+        vi_VN: Tên nền tảng
+        es_ES: Nombre de la plataforma
      type: string
      required: true
      default: "llonebot"
      description:
        en_US: The platform name (e.g., llonebot, discord, telegram)
        zh_Hans: 平台名称（如 llonebot, discord, telegram）
+        zh_Hant: 平台名稱（如 llonebot、discord、telegram）
+        th_TH: ชื่อแพลตฟอร์ม (เช่น llonebot, discord, telegram)
+        vi_VN: "Tên nền tảng (ví dụ: llonebot, discord, telegram)"
+        es_ES: El nombre de la plataforma (p. ej., llonebot, discord, telegram)
    - name: host
      label:
        en_US: Host
        zh_Hans: 主机地址
+        zh_Hant: 主機地址
+        th_TH: ที่อยู่โฮสต์
+        vi_VN: Địa chỉ máy chủ
+        es_ES: Dirección del host
      type: string
      required: true
      default: "127.0.0.1"
      description:
        en_US: The host address of LLOneBot Satori server (e.g., 127.0.0.1, localhost, 192.168.1.100)
        zh_Hans: LLOneBot Satori服务器的主机地址（如 127.0.0.1, localhost, 192.168.1.100）
+        zh_Hant: LLOneBot Satori 伺服器的主機地址（如 127.0.0.1、localhost、192.168.1.100）
+        th_TH: ที่อยู่โฮสต์ของเซิร์ฟเวอร์ LLOneBot Satori (เช่น 127.0.0.1, localhost, 192.168.1.100)
+        vi_VN: "Địa chỉ máy chủ LLOneBot Satori (ví dụ: 127.0.0.1, localhost, 192.168.1.100)"
+        es_ES: La dirección del host del servidor LLOneBot Satori (p. ej., 127.0.0.1, localhost, 192.168.1.100)
    - name: port
      label:
        en_US: Port
        zh_Hans: 监听端口
+        zh_Hant: 監聽連接埠
+        th_TH: พอร์ต
+        vi_VN: Cổng
+        es_ES: Puerto
      type: integer
      required: true
      default: 5600
@@ -42,6 +76,10 @@ spec:
      label:
        en_US: Satori API Endpoint
        zh_Hans: Satori API 终结点
+        zh_Hant: Satori API 端點
+        th_TH: จุดปลาย Satori API
+        vi_VN: Điểm cuối Satori API
+        es_ES: Punto de acceso de la API Satori
      type: string
      required: true
      default: "http://localhost:5600/v1"
@@ -49,6 +87,10 @@ spec:
      label:
        en_US: Satori WebSocket Endpoint
        zh_Hans: Satori WebSocket 终结点
+        zh_Hant: Satori WebSocket 端點
+        th_TH: จุดปลาย Satori WebSocket
+        vi_VN: Điểm cuối Satori WebSocket
+        es_ES: Punto de acceso WebSocket de Satori
      type: string
      required: true
      default: "ws://localhost:5600/v1/events"
@@ -56,6 +98,10 @@ spec:
      label:
        en_US: Token
        zh_Hans: 令牌
+        zh_Hant: 令牌
+        th_TH: โทเค็น
+        vi_VN: Mã thông báo
+        es_ES: Token
      type: string
      required: true
      default: ""
--- a/src/langbot/pkg/platform/sources/slack.yaml
+++ b/src/langbot/pkg/platform/sources/slack.yaml
@@ -5,16 +5,58 @@ metadata:
  label:
    en_US: Slack
    zh_Hans: Slack
+    zh_Hant: Slack
+    ja_JP: Slack
+    th_TH: Slack
+    vi_VN: Slack
+    es_ES: Slack
  description:
    en_US: Slack Adapter
-    zh_Hans: Slack 适配器，请查看文档了解使用方式
+    zh_Hans: Slack 适配器，需要公网地址以接收 Slack 消息推送，请查看文档了解使用方式
+    zh_Hant: Slack 適配器，需要公網地址以接收 Slack 訊息推送，請查看文件了解使用方式
+    ja_JP: Slack アダプター、Slackのメッセージプッシュを受信するためにパブリックURLが必要です。使用方法の詳細については、ドキュメントを参照してください。
+    th_TH: อะแดปเตอร์ Slack ต้องการที่อยู่สาธารณะเพื่อรับการแจ้งเตือนข้อความจาก Slack โปรดดูเอกสารประกอบสำหรับวิธีการใช้งาน
+    vi_VN: Bộ điều hợp Slack, cần địa chỉ công cộng để nhận thông báo tin nhắn từ Slack, vui lòng xem tài liệu để biết cách sử dụng
+    es_ES: Adaptador de Slack, requiere una dirección pública para recibir notificaciones de mensajes de Slack, consulte la documentación para obtener instrucciones de uso
  icon: slack.png
 spec:
+  categories:
+    - popular
+    - global
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/slack
+    en: https://link.langbot.app/en/platforms/slack
+    ja: https://link.langbot.app/ja/platforms/slack
  config:
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        zh_Hant: Webhook 回調地址
+        ja_JP: Webhook コールバック URL
+        th_TH: URL การเรียกกลับ Webhook
+        vi_VN: URL gọi lại Webhook
+        es_ES: URL de devolución de llamada Webhook
+      description:
+        en_US: Copy this URL and paste it into your Slack app's event subscription configuration
+        zh_Hans: 复制此地址并粘贴到 Slack 应用的事件订阅配置中
+        zh_Hant: 複製此地址並貼到 Slack 應用的事件訂閱設定中
+        ja_JP: この URL をコピーして Slack アプリのイベントサブスクリプション設定に貼り付けてください
+        th_TH: คัดลอก URL นี้แล้ววางในการตั้งค่าการสมัครรับเหตุการณ์ของแอป Slack ของคุณ
+        vi_VN: Sao chép URL này và dán vào cấu hình đăng ký sự kiện của ứng dụng Slack của bạn
+        es_ES: Copie esta URL y péguela en la configuración de suscripción de eventos de su aplicación Slack
+      type: webhook-url
+      required: false
+      default: ""
    - name: bot_token
      label:
        en_US: Bot Token
        zh_Hans: 机器人令牌
+        zh_Hant: 機器人令牌
+        ja_JP: ボットトークン
+        th_TH: โทเค็นบอท
+        vi_VN: Mã thông báo Bot
+        es_ES: Token del bot
      type: string
      required: true
      default: ""
@@ -22,6 +64,11 @@ spec:
      label:
        en_US: signing_secret
        zh_Hans: 密钥
+        zh_Hant: 密鑰
+        ja_JP: 署名シークレット
+        th_TH: คีย์ลายเซ็น
+        vi_VN: Khóa ký
+        es_ES: Secreto de firma
      type: string
      required: true
      default: ""
--- a/src/langbot/pkg/platform/sources/telegram.yaml
+++ b/src/langbot/pkg/platform/sources/telegram.yaml
@@ -5,23 +5,50 @@ metadata:
  label:
    en_US: Telegram
    zh_Hans: 电报
+    zh_Hant: Telegram
+    ja_JP: Telegram
+    th_TH: Telegram
+    vi_VN: Telegram
+    es_ES: Telegram
  description:
    en_US: Telegram Adapter
-    zh_Hans: 电报适配器，请查看文档了解使用方式
+    zh_Hans: Telegram 适配器，请查看文档了解使用方式
+    zh_Hant: Telegram 適配器，請查看文件了解使用方式
+    ja_JP: Telegram アダプター。使用方法の詳細については、ドキュメントを参照してください。
+    th_TH: อะแดปเตอร์ Telegram โปรดดูเอกสารประกอบสำหรับวิธีการใช้งาน
+    vi_VN: Bộ điều hợp Telegram, vui lòng xem tài liệu để biết cách sử dụng
+    es_ES: Adaptador de Telegram, consulte la documentación para obtener instrucciones de uso
  icon: telegram.svg
 spec:
+  categories:
+    - popular
+    - global
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/telegram
+    en: https://link.langbot.app/en/platforms/telegram
+    ja: https://link.langbot.app/ja/platforms/telegram
  config:
    - name: token
      label:
        en_US: Token
        zh_Hans: 令牌
+        zh_Hant: 令牌
+        ja_JP: トークン
+        th_TH: โทเค็น
+        vi_VN: Mã thông báo
+        es_ES: Token
      type: string
      required: true
-      default: ""
+      default: "token_from_botfather"
    - name: markdown_card
      label:
        en_US: Markdown Card
        zh_Hans: 是否使用 Markdown 卡片
+        zh_Hant: 是否使用 Markdown 卡片
+        ja_JP: Markdown カードを使用
+        th_TH: การ์ด Markdown
+        vi_VN: Thẻ Markdown
+        es_ES: Tarjeta Markdown
      type: boolean
      required: false
      default: true
@@ -29,9 +56,19 @@ spec:
      label:
        en_US: Enable Stream Reply Mode
        zh_Hans: 启用电报流式回复模式
+        zh_Hant: 啟用 Telegram 串流回覆模式
+        ja_JP: ストリーミング返信モードを有効化
+        th_TH: เปิดใช้งานโหมดตอบกลับแบบสตรีม
+        vi_VN: Bật chế độ trả lời trực tuyến
+        es_ES: Habilitar modo de respuesta en streaming
      description:
        en_US: If enabled, the bot will use the stream of telegram reply mode
        zh_Hans: 如果启用，将使用电报流式方式来回复内容
+        zh_Hant: 如果啟用，將使用 Telegram 串流方式來回覆內容
+        ja_JP: 有効にすると、ボットはストリーミングモードでメッセージに返信します
+        th_TH: หากเปิดใช้งาน บอทจะใช้โหมดสตรีมของ Telegram ในการตอบกลับ
+        vi_VN: Nếu bật, bot sẽ sử dụng chế độ trả lời trực tuyến của Telegram
+        es_ES: Si está habilitado, el bot usará el modo de respuesta en streaming de Telegram
      type: boolean
      required: true
      default: false
--- a/src/langbot/pkg/platform/sources/websocket.yaml
+++ b/src/langbot/pkg/platform/sources/websocket.yaml
@@ -5,11 +5,21 @@ metadata:
  label:
    en_US: "WebSocket Chat"
    zh_Hans: "WebSocket 聊天"
+    zh_Hant: "WebSocket 聊天"
+    th_TH: "แชท WebSocket"
+    vi_VN: "Trò chuyện WebSocket"
+    es_ES: "Chat WebSocket"
  description:
    en_US: "WebSocket adapter for bidirectional real-time communication"
    zh_Hans: "用于双向实时通信的 WebSocket 适配器"
+    zh_Hant: "用於雙向即時通訊的 WebSocket 適配器"
+    th_TH: "อะแดปเตอร์ WebSocket สำหรับการสื่อสารแบบเรียลไทม์สองทิศทาง"
+    vi_VN: "Bộ điều hợp WebSocket cho giao tiếp thời gian thực hai chiều"
+    es_ES: "Adaptador WebSocket para comunicación bidireccional en tiempo real"
  icon: ""
 spec:
+  categories:
+    - protocol
  config: []
 execution:
  python:
--- a/src/langbot/pkg/platform/sources/wechatpad.yaml
+++ b/src/langbot/pkg/platform/sources/wechatpad.yaml
@@ -4,17 +4,26 @@ metadata:
  name: wechatpad
  label:
    en_US: WeChatPad
-    zh_CN: WeChatPad（个人微信ipad）
+    zh_Hans: WeChatPad（个人微信ipad）
+    zh_Hant: WeChatPad（個人微信iPad）
  description:
    en_US: WeChatPad Adapter
-    zh_CN: WeChatPad 适配器
+    zh_Hans: WeChatPad 适配器，基于WeChatPad的个人微信解决方案，请查看文档了解使用方式
+    zh_Hant: WeChatPad 適配器，基於 WeChatPad 的個人微信解決方案，請查看文件了解使用方式
  icon: wechatpad.png
 spec:
+  categories:
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/wechatpad
+    en: https://link.langbot.app/en/platforms/wechatpad
+    ja: https://link.langbot.app/ja/platforms/wechatpad
  config:
    - name: wechatpad_url
      label:
        en_US: WeChatPad ERL
        zh_CN: WeChatPad URL
+        zh_Hant: WeChatPad URL
      type: string
      required: true
      default: ""
@@ -22,6 +31,7 @@ spec:
      label:
        en_US: WeChatPad_Ws
        zh_CN: WeChatPad_Ws
+        zh_Hant: WeChatPad_Ws
      type: string
      required: true
      default: ""
@@ -29,6 +39,7 @@ spec:
      label:
        en_US: Admin_Key
        zh_CN: 管理员密匙
+        zh_Hant: 管理員密鑰
      type: string
      required: true
      default: ""
@@ -36,6 +47,7 @@ spec:
      label:
        en_US: Token
        zh_CN: 令牌
+        zh_Hant: 令牌
      type: string
      required: true
      default: ""
@@ -43,6 +55,7 @@ spec:
      label:
        en_US: wxid
        zh_CN: wxid
+        zh_Hant: wxid
      type: string
      required: true
      default: ""
--- a/src/langbot/pkg/platform/sources/wecom.yaml
+++ b/src/langbot/pkg/platform/sources/wecom.yaml
@@ -5,16 +5,38 @@ metadata:
  label:
    en_US: WeCom
    zh_Hans: 企业微信
+    zh_Hant: 企業微信
  description:
    en_US: WeCom Adapter
-    zh_Hans: 企业微信适配器，请查看文档了解使用方式
+    zh_Hans: 企业微信内部机器人，请查看文档了解使用方式
+    zh_Hant: 企業微信內部機器人，請查看文件了解使用方式
  icon: wecom.png
 spec:
+  categories:
+    - popular
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/wecom
+    en: https://link.langbot.app/en/platforms/wecom
+    ja: https://link.langbot.app/ja/platforms/wecom
  config:
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        zh_Hant: Webhook 回調地址
+      description:
+        en_US: Copy this URL and paste it into your WeCom app's webhook configuration
+        zh_Hans: 复制此地址并粘贴到企业微信应用的 Webhook 配置中
+        zh_Hant: 複製此地址並貼到企業微信應用的 Webhook 設定中
+      type: webhook-url
+      required: false
+      default: ""
    - name: corpid
      label:
        en_US: Corpid
        zh_Hans: 企业ID
+        zh_Hant: 企業ID
      type: string
      required: true
      default: ""
@@ -22,6 +44,7 @@ spec:
      label:
        en_US: Secret
        zh_Hans: 密钥 (Secret)
+        zh_Hant: 密鑰 (Secret)
      type: string
      required: true
      default: ""
@@ -29,6 +52,7 @@ spec:
      label:
        en_US: Token
        zh_Hans: 令牌 (Token)
+        zh_Hant: 令牌 (Token)
      type: string
      required: true
      default: ""
@@ -36,6 +60,7 @@ spec:
      label:
        en_US: EncodingAESKey
        zh_Hans: 消息加解密密钥 (EncodingAESKey)
+        zh_Hant: 訊息加解密密鑰 (EncodingAESKey)
      type: string
      required: true
      default: ""
@@ -43,9 +68,11 @@ spec:
      label:
        en_US: API Base URL
        zh_Hans: API 基础 URL
+        zh_Hant: API 基礎 URL
      description:
        en_US: API Base URL, used for accessing the WeCom API. If you are deploying in an internal network environment and accessing the WeCom Customer Service API through a reverse proxy, please fill in this item according to the documentation.
        zh_Hans: 可选，若您部署在内网环境并通过反向代理访问企业微信 API，可根据文档填写此项
+        zh_Hant: 可選，若您部署在內網環境並透過反向代理存取企業微信 API，可根據文件填寫此項
      type: string
      required: false
      default: "https://qyapi.weixin.qq.com/cgi-bin"
--- a/src/langbot/pkg/platform/sources/wecombot.py
+++ b/src/langbot/pkg/platform/sources/wecombot.py
@@ -126,6 +126,107 @@ class WecomBotMessageConverter(abstract_platform_adapter.AbstractMessageConverte
            if summary:
                yiri_msg_list.append(platform_message.Plain(text=summary))

+        # Handle quoted message (引用消息) - important for group chat file references
+        # Extract files/images/voice from quote and add them as top-level components
+        # so that plugins like FileReader can process them the same way as direct messages
+        quote_info = event.quote or {}
+        if quote_info:
+            # Process quote text content - add as Plain for context
+            if quote_info.get('content'):
+                yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info.get("content")}'))
+
+            # Process quote images - add as top-level Image components
+            quote_images = quote_info.get('images', [])
+            if not quote_images and quote_info.get('picurl'):
+                quote_images = [quote_info.get('picurl')]
+            for img_data in quote_images:
+                if img_data:
+                    yiri_msg_list.append(platform_message.Image(base64=img_data))
+
+            # Process quote file - add as top-level File component (same as private chat)
+            quote_file = quote_info.get('file') or {}
+            if quote_file:
+                file_url = (
+                    quote_file.get('base64')
+                    or quote_file.get('download_url')
+                    or quote_file.get('url')
+                    or quote_file.get('fileurl')
+                )
+                file_name = quote_file.get('filename') or quote_file.get('name')
+                file_size = quote_file.get('filesize') or quote_file.get('size')
+                if file_url or file_name:
+                    file_kwargs = {}
+                    if file_url:
+                        file_kwargs['url'] = file_url
+                    if file_name:
+                        file_kwargs['name'] = file_name
+                    if file_size is not None:
+                        file_kwargs['size'] = file_size
+                    try:
+                        yiri_msg_list.append(platform_message.File(**file_kwargs))
+                    except Exception:
+                        yiri_msg_list.append(platform_message.Unknown(text='[quoted file unsupported]'))
+
+            # Process quote voice - add as top-level Voice/File component
+            quote_voice = quote_info.get('voice') or {}
+            if quote_voice:
+                voice_payload = quote_voice.get('base64') or quote_voice.get('url')
+                if voice_payload:
+                    if quote_voice.get('base64') and not voice_payload.startswith('data:'):
+                        voice_payload = f'data:audio/mpeg;base64,{quote_voice.get("base64")}'
+                    try:
+                        yiri_msg_list.append(platform_message.Voice(base64=voice_payload))
+                    except Exception:
+                        try:
+                            voice_kwargs = {'url': voice_payload}
+                            voice_name = quote_voice.get('filename') or quote_voice.get('name')
+                            voice_size = quote_voice.get('filesize') or quote_voice.get('size')
+                            if voice_name:
+                                voice_kwargs['name'] = voice_name
+                            if voice_size is not None:
+                                voice_kwargs['size'] = voice_size
+                            yiri_msg_list.append(platform_message.File(**voice_kwargs))
+                        except Exception:
+                            yiri_msg_list.append(platform_message.Unknown(text='[quoted voice unsupported]'))
+
+            # Process quote video - add as top-level File component
+            quote_video = quote_info.get('video') or {}
+            if quote_video:
+                video_payload = (
+                    quote_video.get('base64')
+                    or quote_video.get('url')
+                    or quote_video.get('download_url')
+                    or quote_video.get('fileurl')
+                )
+                if video_payload:
+                    video_kwargs = {'url': video_payload}
+                    video_name = quote_video.get('filename') or quote_video.get('name')
+                    video_size = quote_video.get('filesize') or quote_video.get('size')
+                    if video_name:
+                        video_kwargs['name'] = video_name
+                    if video_size is not None:
+                        video_kwargs['size'] = video_size
+                    try:
+                        yiri_msg_list.append(platform_message.File(**video_kwargs))
+                    except Exception:
+                        yiri_msg_list.append(platform_message.Unknown(text='[quoted video unsupported]'))
+
+            # Process quote link - add as Plain text
+            quote_link = quote_info.get('link') or {}
+            if quote_link:
+                link_summary = '\n'.join(
+                    filter(
+                        None,
+                        [
+                            quote_link.get('title', ''),
+                            quote_link.get('description') or quote_link.get('digest', ''),
+                            quote_link.get('url', ''),
+                        ],
+                    )
+                )
+                if link_summary:
+                    yiri_msg_list.append(platform_message.Plain(text=f'[引用链接] {link_summary}'))
+
        has_content_element = any(
            not isinstance(element, (platform_message.Source, platform_message.At)) for element in yiri_msg_list
        )
@@ -277,14 +378,8 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
            return {'stream': success}

    async def is_stream_output_supported(self) -> bool:
-        """智能机器人侧默认开启流式能力。
-
-        Returns:
-            bool: 恒定返回 True。
-
-        Example:
-            流水线执行阶段会调用此方法以确认是否启用流式。"""
-        return True
+        """Whether streaming output is enabled for this bot instance."""
+        return self.config.get('enable-stream-reply', True)

    async def send_message(self, target_type, target_id, message):
        _ws_mode = not self.config.get('enable-webhook', False)
@@ -317,6 +412,9 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
                self.bot.on_message('single')(self.on_message)
            elif event_type == platform_events.GroupMessage:
                self.bot.on_message('group')(self.on_message)
+            elif event_type == platform_events.FeedbackEvent:
+                if hasattr(self.bot, 'on_feedback'):
+                    self.bot.on_feedback()(self._on_feedback)
        except Exception:
            print(traceback.format_exc())

@@ -324,6 +422,53 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
        """设置 bot UUID（用于生成 webhook URL）"""
        self.bot_uuid = bot_uuid

+    async def _on_feedback(self, **kwargs):
+        """Handle feedback event from WeChat Work AI Bot SDK and dispatch as FeedbackEvent."""
+        try:
+            feedback_id = kwargs.get('feedback_id', '')
+            feedback_type = kwargs.get('feedback_type', 0)
+            feedback_content = kwargs.get('feedback_content', '') or None
+            inaccurate_reasons = kwargs.get('inaccurate_reasons', []) or None
+            # WeChat Work returns integer reason codes, but FeedbackEvent expects strings
+            if inaccurate_reasons:
+                inaccurate_reasons = [str(r) for r in inaccurate_reasons]
+            session = kwargs.get('session')
+
+            session_id = None
+            user_id = None
+            message_id = None
+            stream_id = None
+            if session:
+                if session.chat_id:
+                    session_id = f'group_{session.chat_id}'
+                elif session.user_id:
+                    session_id = f'person_{session.user_id}'
+                user_id = session.user_id
+                message_id = session.msg_id
+                stream_id = session.stream_id
+
+            await self.logger.info(
+                f'Feedback event: feedback_id={feedback_id}, type={feedback_type}, '
+                f'session_id={session_id}, user_id={user_id}, message_id={message_id}'
+            )
+
+            event = platform_events.FeedbackEvent(
+                feedback_id=feedback_id,
+                feedback_type=feedback_type,
+                feedback_content=feedback_content,
+                inaccurate_reasons=inaccurate_reasons,
+                user_id=user_id,
+                session_id=session_id,
+                message_id=message_id,
+                stream_id=stream_id,
+                source_platform_object=session,
+            )
+
+            if platform_events.FeedbackEvent in self.listeners:
+                await self.listeners[platform_events.FeedbackEvent](event, self)
+        except Exception:
+            await self.logger.error(f'Error in wecombot feedback callback: {traceback.format_exc()}')
+
    async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
        _ws_mode = not self.config.get('enable-webhook', False)
        if _ws_mode:
--- a/src/langbot/pkg/platform/sources/wecombot.yaml
+++ b/src/langbot/pkg/platform/sources/wecombot.yaml
@@ -5,16 +5,25 @@ metadata:
  label:
    en_US: WeComBot
    zh_Hans: 企业微信智能机器人
+    zh_Hant: 企業微信智慧機器人
  description:
    en_US: WeComBot Adapter
-    zh_Hans: 企业微信智能机器人适配器，请查看文档了解使用方式
+    zh_Hans: 企业微信智能机器人，支持长连接和 Webhook 两种接入方式，请查看文档了解使用方式
+    zh_Hant: 企業微信智慧機器人，支援長連線和 Webhook 兩種接入方式，請查看文件了解使用方式
  icon: wecombot.png
 spec:
+  categories:
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/wecombot
+    en: https://link.langbot.app/en/platforms/wecombot
+    ja: https://link.langbot.app/ja/platforms/wecombot
  config:
    - name: BotId
      label:
        en_US: BotId
        zh_Hans: 机器人ID (BotId)
+        zh_Hant: 機器人ID (BotId)
      type: string
      required: true
      default: ""
@@ -22,6 +31,7 @@ spec:
      label:
        en_US: Robot Name
        zh_Hans: 机器人名称
+        zh_Hant: 機器人名稱
      type: string
      required: true
      default: ""
@@ -29,19 +39,39 @@ spec:
      label:
        en_US: Enable Webhook Mode
        zh_Hans: 启用Webhook模式
+        zh_Hant: 啟用 Webhook 模式
      description:
        en_US: If enabled, the bot will use webhook mode to receive messages. Otherwise, it will use WS long connection mode
        zh_Hans: 如果启用，机器人将使用 Webhook 模式接收消息。否则，将使用 WS 长连接模式
+        zh_Hant: 如果啟用，機器人將使用 Webhook 模式接收訊息。否則，將使用 WS 長連線模式
      type: boolean
      required: true
      default: false
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        zh_Hant: Webhook 回調地址
+      description:
+        en_US: Copy this URL and paste it into your WeComBot webhook configuration
+        zh_Hans: 复制此地址并粘贴到企业微信智能机器人的 Webhook 配置中
+        zh_Hant: 複製此地址並貼到企業微信智慧機器人的 Webhook 設定中
+      type: webhook-url
+      required: false
+      default: ""
+      show_if:
+        field: enable-webhook
+        operator: eq
+        value: true
    - name: Secret
      label:
        en_US: Secret
        zh_Hans: 机器人密钥 (Secret)
+        zh_Hant: 機器人密鑰 (Secret)
      description:
        en_US: Required for WebSocket long connection mode
        zh_Hans: 使用 WS 长连接模式时必填
+        zh_Hant: 使用 WS 長連線模式時必填
      type: string
      required: false
      default: ""
@@ -49,9 +79,11 @@ spec:
      label:
        en_US: Corpid
        zh_Hans: 企业ID
+        zh_Hant: 企業ID
      description:
        en_US: Required for Webhook mode
        zh_Hans: 使用 Webhook 模式时必填
+        zh_Hant: 使用 Webhook 模式時必填
      type: string
      required: false
      default: ""
@@ -59,9 +91,11 @@ spec:
      label:
        en_US: Token
        zh_Hans: 令牌 (Token)
+        zh_Hant: 令牌 (Token)
      description:
        en_US: Required for Webhook mode
        zh_Hans: 使用 Webhook 模式时必填
+        zh_Hant: 使用 Webhook 模式時必填
      type: string
      required: false
      default: ""
@@ -69,12 +103,26 @@ spec:
      label:
        en_US: EncodingAESKey
        zh_Hans: 消息加解密密钥 (EncodingAESKey)
+        zh_Hant: 訊息加解密密鑰 (EncodingAESKey)
      description:
        en_US: Required for Webhook mode. Optional for WebSocket mode (used for file decryption)
        zh_Hans: 使用 Webhook 模式时必填。WebSocket 模式下可选（用于文件解密）
+        zh_Hant: 使用 Webhook 模式時必填。WebSocket 模式下可選（用於檔案解密）
      type: string
      required: false
      default: ""
+    - name: enable-stream-reply
+      label:
+        en_US: Enable Stream Reply
+        zh_Hans: 启用流式回复
+        zh_Hant: 啟用串流回覆
+      description:
+        en_US: If enabled, the bot will use streaming mode to reply messages
+        zh_Hans: 如果启用，机器人将使用流式模式回复消息
+        zh_Hant: 如果啟用，機器人將使用串流模式回覆訊息
+      type: boolean
+      required: false
+      default: true
 execution:
  python:
    path: ./wecombot.py
--- a/src/langbot/pkg/platform/sources/wecomcs.yaml
+++ b/src/langbot/pkg/platform/sources/wecomcs.yaml
@@ -5,16 +5,37 @@ metadata:
  label:
    en_US: WeComCustomerService
    zh_Hans: 企业微信客服
+    zh_Hant: 企業微信客服
  description:
    en_US: WeComCSAdapter
-    zh_Hans: 企业微信客服适配器
+    zh_Hans: 企业微信对外客服机器人，需要公网地址以接收消息推送，请查看文档了解使用方式
+    zh_Hant: 企業微信對外客服機器人，需要公網地址以接收訊息推送，請查看文件了解使用方式
  icon: wecom.png
 spec:
+  categories:
+    - china
+  help_links:
+    zh: https://link.langbot.app/zh/platforms/wecomcs
+    en: https://link.langbot.app/en/platforms/wecomcs
+    ja: https://link.langbot.app/ja/platforms/wecomcs
  config:
+    - name: webhook_url
+      label:
+        en_US: Webhook Callback URL
+        zh_Hans: Webhook 回调地址
+        zh_Hant: Webhook 回調地址
+      description:
+        en_US: Copy this URL and paste it into your WeCom Customer Service webhook configuration
+        zh_Hans: 复制此地址并粘贴到企业微信客服的 Webhook 配置中
+        zh_Hant: 複製此地址並貼到企業微信客服的 Webhook 設定中
+      type: webhook-url
+      required: false
+      default: ""
    - name: corpid
      label:
        en_US: Corpid
        zh_Hans: 企业ID
+        zh_Hant: 企業ID
      type: string
      required: true
      default: ""
@@ -22,6 +43,7 @@ spec:
      label:
        en_US: Secret
        zh_Hans: 密钥
+        zh_Hant: 密鑰
      type: string
      required: true
      default: ""
@@ -29,6 +51,7 @@ spec:
      label:
        en_US: Token
        zh_Hans: 令牌
+        zh_Hant: 令牌
      type: string
      required: true
      default: ""
@@ -36,6 +59,7 @@ spec:
      label:
        en_US: EncodingAESKey
        zh_Hans: 消息加解密密钥
+        zh_Hant: 訊息加解密密鑰
      type: string
      required: true
      default: ""
@@ -43,9 +67,11 @@ spec:
      label:
        en_US: API Base URL
        zh_Hans: API 基础 URL
+        zh_Hant: API 基礎 URL
      description:
        en_US: API Base URL, used for accessing the WeCom API. If you are deploying in an internal network environment and accessing the WeCom Customer Service API through a reverse proxy, please fill in this item according to the documentation.
        zh_Hans: 可选，若您部署在内网环境并通过反向代理访问企业微信 API，可根据文档修改此项
+        zh_Hant: 可選，若您部署在內網環境並透過反向代理存取企業微信 API，可根據文件修改此項
      type: string
      required: false
      default: "https://qyapi.weixin.qq.com/cgi-bin"
--- a/src/langbot/pkg/plugin/connector.py
+++ b/src/langbot/pkg/plugin/connector.py
@@ -2,6 +2,9 @@
 from __future__ import annotations

 import asyncio
+import io
+import time
+import zipfile
 from typing import Any
 import typing
 import os
@@ -192,6 +195,30 @@ class PluginRuntimeConnector:

        return await self.handler.ping()

+    def _extract_deps_metadata(
+        self,
+        file_bytes: bytes,
+        task_context: taskmgr.TaskContext | None,
+    ):
+        """Extract dependency count from requirements.txt inside plugin zip."""
+        if task_context is None:
+            return
+        try:
+            with zipfile.ZipFile(io.BytesIO(file_bytes)) as zf:
+                for name in zf.namelist():
+                    if name.endswith('requirements.txt'):
+                        content = zf.read(name).decode('utf-8', errors='ignore')
+                        deps = [
+                            line.strip()
+                            for line in content.splitlines()
+                            if line.strip() and not line.strip().startswith('#')
+                        ]
+                        task_context.metadata['deps_total'] = len(deps)
+                        task_context.metadata['deps_list'] = deps
+                        break
+        except Exception:
+            pass
+
    async def install_plugin(
        self,
        install_source: PluginInstallSource,
@@ -201,23 +228,44 @@ class PluginRuntimeConnector:
        if install_source == PluginInstallSource.LOCAL:
            # transfer file before install
            file_bytes = install_info['plugin_file']
+            self._extract_deps_metadata(file_bytes, task_context)
            file_key = await self.handler.send_file(file_bytes, 'lbpkg')
            install_info['plugin_file_key'] = file_key
            del install_info['plugin_file']
            self.ap.logger.info(f'Transfered file {file_key} to plugin runtime')
        elif install_source == PluginInstallSource.GITHUB:
-            # download and transfer file
+            # download and transfer file with streaming progress
            try:
                async with httpx.AsyncClient(
                    trust_env=True,
                    follow_redirects=True,
-                    timeout=20,
+                    timeout=60,
                ) as client:
-                    response = await client.get(
-                        install_info['asset_url'],
-                    )
-                    response.raise_for_status()
-                    file_bytes = response.content
+                    async with client.stream('GET', install_info['asset_url']) as response:
+                        response.raise_for_status()
+                        total = int(response.headers.get('content-length', 0))
+                        downloaded = 0
+                        chunks: list[bytes] = []
+                        start_time = time.time()
+
+                        if task_context is not None:
+                            task_context.set_current_action('downloading plugin package')
+                            task_context.metadata['download_total'] = total
+                            task_context.metadata['download_current'] = 0
+                            task_context.metadata['download_speed'] = 0
+
+                        async for chunk in response.aiter_bytes(chunk_size=8192):
+                            chunks.append(chunk)
+                            downloaded += len(chunk)
+
+                            if task_context is not None:
+                                elapsed = time.time() - start_time
+                                task_context.metadata['download_current'] = downloaded
+                                task_context.metadata['download_total'] = total
+                                task_context.metadata['download_speed'] = downloaded / elapsed if elapsed > 0 else 0
+
+                    file_bytes = b''.join(chunks)
+                    self._extract_deps_metadata(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')
@@ -236,6 +284,11 @@ class PluginRuntimeConnector:
                if task_context is not None:
                    task_context.trace(trace)

+            # Forward structured metadata from runtime
+            metadata = ret.get('metadata', None)
+            if metadata is not None and task_context is not None:
+                task_context.metadata.update(metadata)
+
    async def upgrade_plugin(
        self,
        plugin_author: str,
--- a/src/langbot/pkg/telemetry/telemetry.py
+++ b/src/langbot/pkg/telemetry/telemetry.py
@@ -60,7 +60,16 @@ class TelemetryManager:
                    except Exception:
                        sanitized['query_id'] = str(sanitized.get('query_id', ''))

-                for sfield in ('adapter', 'runner', 'runner_category', 'model_name', 'version', 'error', 'timestamp'):
+                for sfield in (
+                    'adapter',
+                    'runner',
+                    'runner_category',
+                    'model_name',
+                    'version',
+                    'edition',
+                    'error',
+                    'timestamp',
+                ):
                    v = sanitized.get(sfield)
                    sanitized[sfield] = '' if v is None else str(v)

--- a/src/langbot/pkg/utils/constants.py
+++ b/src/langbot/pkg/utils/constants.py
@@ -2,7 +2,7 @@ import langbot

 semantic_version = f'v{langbot.__version__}'

-required_database_version = 24
+required_database_version = 25
 """Tag the version of the database schema, used to check if the database needs to be migrated"""

 debug_mode = False
--- a/src/langbot/pkg/utils/paths.py
+++ b/src/langbot/pkg/utils/paths.py
@@ -38,28 +38,31 @@ def get_frontend_path() -> str:
    """
    Get the path to the frontend build files.

-    Returns the path to web/out directory, handling both:
+    Returns the path to web/dist directory (Vite build output), handling both:
    - Development mode: running from source directory
    - Package mode: installed via pip/uvx
+    - Legacy mode: web/out (Next.js, for backward compatibility)
    """
-    # First, check if we're running from source directory
-    if _check_if_source_install() and os.path.exists('web/out'):
-        return 'web/out'
+    # Check both dist (Vite) and out (legacy Next.js) paths
+    for dirname in ('dist', 'out'):
+        web_dir = f'web/{dirname}'

-    # Second, check current directory for web/out (in case user is in source dir)
-    if os.path.exists('web/out'):
-        return 'web/out'
+        # First, check if we're running from source directory
+        if _check_if_source_install() and os.path.exists(web_dir):
+            return web_dir

-    # Third, find it relative to the package installation
-    # Get the directory where this file is located
-    # paths.py is in pkg/utils/, so parent.parent goes up to pkg/, then parent again goes up to the package root
-    pkg_dir = Path(__file__).parent.parent.parent
-    frontend_path = pkg_dir / 'web' / 'out'
-    if frontend_path.exists():
-        return str(frontend_path)
+        # Second, check current directory
+        if os.path.exists(web_dir):
+            return web_dir
+
+        # Third, find it relative to the package installation
+        pkg_dir = Path(__file__).parent.parent.parent
+        frontend_path = pkg_dir / 'web' / dirname
+        if frontend_path.exists():
+            return str(frontend_path)

    # Return the default path (will be checked by caller)
-    return 'web/out'
+    return 'web/dist'


 def get_resource_path(resource: str) -> str:
--- a/src/langbot/pkg/utils/version.py
+++ b/src/langbot/pkg/utils/version.py
@@ -203,7 +203,7 @@ class VersionManager:
        try:
            if await self.ap.ver_mgr.is_new_version_available():
                return (
-                    'New version available:\n有新版本可用，根据文档更新: \nhttps://docs.langbot.app/zh/deploy/update.html',
+                    'New version available:\n有新版本可用，根据文档更新: \nhttps://link.langbot.app/zh/docs/update',
                    logging.INFO,
                )

--- a/src/langbot/templates/config.yaml
+++ b/src/langbot/templates/config.yaml
@@ -20,6 +20,7 @@ system:
    edition: community
    recovery_key: ''
    allow_modify_login_info: true
+    disabled_adapters: []
    limitation:
        max_bots: -1
        max_pipelines: -1
@@ -78,6 +79,14 @@ plugin:
    runtime_ws_url: 'ws://langbot_plugin_runtime:5400/control/ws'
    enable_marketplace: true
    display_plugin_debug_url: 'ws://localhost:5401/plugin/debug/ws'
+monitoring:
+    auto_cleanup:
+        # Enable automatic cleanup of expired monitoring records
+        enabled: true
+        # Retention period in days, records older than this will be deleted
+        retention_days: 30
+        # Cleanup check interval in hours
+        check_interval_hours: 1
 space:
    # Space service URL for OAuth and API
    url: 'https://space.langbot.app'
--- a/src/langbot/templates/metadata/pipeline/ai.yaml
+++ b/src/langbot/templates/metadata/pipeline/ai.yaml
@@ -23,30 +23,30 @@ stages:
            label:
              en_US: Local Agent
              zh_Hans: 内置 Agent
-          - name: tbox-app-api
-            label:
-              en_US: Tbox App API
-              zh_Hans: 蚂蚁百宝箱平台 API
          - name: dify-service-api
            label:
              en_US: Dify Service API
              zh_Hans: Dify 服务 API
-          - name: dashscope-app-api
-            label:
-              en_US: Aliyun Dashscope App API
-              zh_Hans: 阿里云百炼平台 API
          - name: n8n-service-api
            label:
              en_US: n8n Workflow API
              zh_Hans: n8n 工作流 API
-          - name: langflow-api
-            label:
-              en_US: Langflow API
-              zh_Hans: Langflow API
          - name: coze-api
            label:
              en_US: Coze API
              zh_Hans: 扣子 API
+          - name: tbox-app-api
+            label:
+              en_US: Tbox App API
+              zh_Hans: 蚂蚁百宝箱平台 API
+          - name: dashscope-app-api
+            label:
+              en_US: Aliyun Dashscope App API
+              zh_Hans: 阿里云百炼平台 API
+          - name: langflow-api
+            label:
+              en_US: Langflow API
+              zh_Hans: Langflow API
  - name: local-agent
    label:
      en_US: Local Agent
@@ -74,6 +74,10 @@ stages:
        type: integer
        required: true
        default: 10
+        show_if:
+          field: __system.is_wizard
+          operator: neq
+          value: true
      - name: prompt
        label:
          en_US: Prompt
@@ -83,6 +87,9 @@ stages:
          zh_Hans: 除非您了解消息结构，否则请只使用 system 单提示词
        type: prompt-editor
        required: true
+        default:
+          - role: system
+            content: "You are a helpful assistant."
      - name: knowledge-bases
        label:
          en_US: Knowledge Bases
@@ -93,26 +100,10 @@ stages:
        type: knowledge-base-multi-selector
        required: false
        default: []
-  - name: tbox-app-api
-    label:
-      en_US: Tbox App API
-      zh_Hans: 蚂蚁百宝箱平台 API
-    description:
-      en_US: Configure the Tbox App API of the pipeline
-      zh_Hans: 配置蚂蚁百宝箱平台 API
-    config:
-      - name: api-key
-        label:
-          en_US: API Key
-          zh_Hans: API 密钥
-        type: string
-        required: true
-      - name: app-id
-        label:
-          en_US: App ID
-          zh_Hans: 应用 ID
-        type: string
-        required: true
+        show_if:
+          field: __system.is_wizard
+          operator: neq
+          value: true
  - name: dify-service-api
    label:
      en_US: Dify Service API
@@ -127,6 +118,12 @@ stages:
          zh_Hans: 基础 URL
        type: string
        required: true
+        options:
+          - name: 'https://api.dify.ai/v1'
+            label:
+              en_US: Dify Cloud
+              zh_Hans: Dify 云服务
+        default: 'https://api.dify.ai/v1'
      - name: base-prompt
        label:
          en_US: Base PROMPT
@@ -163,52 +160,7 @@ stages:
          zh_Hans: API 密钥
        type: string
        required: true
-  - name: dashscope-app-api
-    label:
-      en_US: Aliyun Dashscope App API
-      zh_Hans: 阿里云百炼平台 API
-    description:
-      en_US: Configure the Aliyun Dashscope App API of the pipeline
-      zh_Hans: 配置阿里云百炼平台 API
-    config:
-      - 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
-              zh_Hans: Agent
-          - name: workflow
-            label:
-              en_US: Workflow
-              zh_Hans: 工作流
-      - name: api-key
-        label:
-          en_US: API Key
-          zh_Hans: API 密钥
-        type: string
-        required: true
-      - name: app-id
-        label:
-          en_US: App ID
-          zh_Hans: 应用 ID
-        type: string
-        required: true
-      - name: references_quote
-        label:
-          en_US: References Quote
-          zh_Hans: 引用文本
-        description:
-          en_US: The text prompt when the references are included
-          zh_Hans: 包含引用资料时的文本提示
-        type: string
-        required: false
-        default: '参考资料来自:'
+        default: 'your-api-key'
  - name: n8n-service-api
    label:
      en_US: n8n Workflow API
@@ -226,6 +178,7 @@ stages:
          zh_Hans: n8n 工作流的 webhook URL
        type: string
        required: true
+        default: 'http://your-n8n-webhook-url'
      - name: auth-type
        label:
          en_US: Authentication Type
@@ -263,6 +216,10 @@ stages:
        type: string
        required: false
        default: ''
+        show_if:
+          field: auth-type
+          operator: eq
+          value: 'basic'
      - name: basic-password
        label:
          en_US: Password
@@ -273,6 +230,10 @@ stages:
        type: string
        required: false
        default: ''
+        show_if:
+          field: auth-type
+          operator: eq
+          value: 'basic'
      - name: jwt-secret
        label:
          en_US: Secret
@@ -283,6 +244,10 @@ stages:
        type: string
        required: false
        default: ''
+        show_if:
+          field: auth-type
+          operator: eq
+          value: 'jwt'
      - name: jwt-algorithm
        label:
          en_US: Algorithm
@@ -293,6 +258,10 @@ stages:
        type: string
        required: false
        default: 'HS256'
+        show_if:
+          field: auth-type
+          operator: eq
+          value: 'jwt'
      - name: header-name
        label:
          en_US: Header Name
@@ -303,6 +272,10 @@ stages:
        type: string
        required: false
        default: ''
+        show_if:
+          field: auth-type
+          operator: eq
+          value: 'header'
      - name: header-value
        label:
          en_US: Header Value
@@ -313,6 +286,10 @@ stages:
        type: string
        required: false
        default: ''
+        show_if:
+          field: auth-type
+          operator: eq
+          value: 'header'
      - name: timeout
        label:
          en_US: Timeout
@@ -333,6 +310,140 @@ stages:
        type: string
        required: false
        default: 'response'
+  - name: coze-api
+    label:
+      en_US: coze API
+      zh_Hans: 扣子 API
+    description:
+      en_US: Configure the Coze API of the pipeline
+      zh_Hans: 配置Coze API
+    config:
+      - name: api-key
+        label:
+          en_US: API Key
+          zh_Hans: API 密钥
+        description:
+          en_US: The API key for the Coze server
+          zh_Hans: Coze服务器的 API 密钥
+        type: string
+        required: true
+        default: ''
+      - name: bot-id
+        label:
+          en_US: Bot ID
+          zh_Hans: 机器人 ID
+        description:
+          en_US: The ID of the bot to run
+          zh_Hans: 要运行的机器人 ID
+        type: string
+        required: true
+        default: ''
+      - name: api-base
+        label:
+          en_US: API Base URL
+          zh_Hans: API 基础 URL
+        description:
+          en_US: The base URL for the Coze API, please use https://api.coze.com for global Coze edition(coze.com).
+          zh_Hans: Coze API 的基础 URL，请使用 https://api.coze.com 用于全球 Coze 版（coze.com）
+        type: string
+        options:
+          - name: 'https://api.coze.cn'
+            label:
+              en_US: Coze China
+              zh_Hans: Coze 中国版
+          - name: 'https://api.coze.com'
+            label:
+              en_US: Coze Global
+              zh_Hans: Coze 全球版
+        default: "https://api.coze.cn"
+      - name: auto-save-history
+        label:
+          en_US: Auto Save History
+          zh_Hans: 自动保存历史
+        description:
+          en_US: Whether to automatically save conversation history
+          zh_Hans: 是否自动保存对话历史
+        type: boolean
+        default: true
+      - name: timeout
+        label:
+          en_US: Request Timeout
+          zh_Hans: 请求超时
+        description:
+          en_US: Timeout in seconds for API requests
+          zh_Hans: API 请求超时时间（秒）
+        type: number
+        default: 120
+  - name: tbox-app-api
+    label:
+      en_US: Tbox App API
+      zh_Hans: 蚂蚁百宝箱平台 API
+    description:
+      en_US: Configure the Tbox App API of the pipeline
+      zh_Hans: 配置蚂蚁百宝箱平台 API
+    config:
+      - name: api-key
+        label:
+          en_US: API Key
+          zh_Hans: API 密钥
+        type: string
+        required: true
+        default: ''
+      - name: app-id
+        label:
+          en_US: App ID
+          zh_Hans: 应用 ID
+        type: string
+        required: true
+        default: ''
+  - name: dashscope-app-api
+    label:
+      en_US: Aliyun Dashscope App API
+      zh_Hans: 阿里云百炼平台 API
+    description:
+      en_US: Configure the Aliyun Dashscope App API of the pipeline
+      zh_Hans: 配置阿里云百炼平台 API
+    config:
+      - 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
+              zh_Hans: Agent
+          - name: workflow
+            label:
+              en_US: Workflow
+              zh_Hans: 工作流
+      - name: api-key
+        label:
+          en_US: API Key
+          zh_Hans: API 密钥
+        type: string
+        required: true
+        default: 'your-api-key'
+      - name: app-id
+        label:
+          en_US: App ID
+          zh_Hans: 应用 ID
+        type: string
+        required: true
+        default: 'your-app-id'
+      - name: references_quote
+        label:
+          en_US: References Quote
+          zh_Hans: 引用文本
+        description:
+          en_US: The text prompt when the references are included
+          zh_Hans: 包含引用资料时的文本提示
+        type: string
+        required: false
+        default: '参考资料来自:'
  - name: langflow-api
    label:
      en_US: Langflow API
@@ -350,6 +461,7 @@ stages:
          zh_Hans: Langflow 服务器的基础 URL
        type: string
        required: true
+        default: 'http://localhost:7860'
      - name: api-key
        label:
          en_US: API Key
@@ -359,6 +471,7 @@ stages:
          zh_Hans: Langflow 服务器的 API 密钥
        type: string
        required: true
+        default: 'your-api-key'
      - name: flow-id
        label:
          en_US: Flow ID
@@ -368,6 +481,7 @@ stages:
          zh_Hans: 要运行的流程 ID
        type: string
        required: true
+        default: 'your-flow-id'
      - name: input-type
        label:
          en_US: Input Type
@@ -397,57 +511,4 @@ stages:
          zh_Hans: 可选的流程调整参数
        type: json
        required: false
-        default: '{}'
-  - name: coze-api
-    label:
-      en_US: coze API
-      zh_Hans: 扣子 API
-    description:
-      en_US: Configure the Coze API of the pipeline
-      zh_Hans: 配置Coze API
-    config:
-      - name: api-key
-        label:
-          en_US: API Key
-          zh_Hans: API 密钥
-        description:
-          en_US: The API key for the Coze server
-          zh_Hans: Coze服务器的 API 密钥
-        type: string
-        required: true
-      - name: bot-id
-        label:
-          en_US: Bot ID
-          zh_Hans: 机器人 ID
-        description:
-          en_US: The ID of the bot to run
-          zh_Hans: 要运行的机器人 ID
-        type: string
-        required: true
-      - name: api-base
-        label:
-          en_US: API Base URL
-          zh_Hans: API 基础 URL
-        description:
-          en_US: The base URL for the Coze API, please use https://api.coze.com for global Coze edition(coze.com).
-          zh_Hans: Coze API 的基础 URL，请使用 https://api.coze.com 用于全球 Coze 版（coze.com）
-        type: string
-        default: "https://api.coze.cn"
-      - name: auto-save-history
-        label:
-          en_US: Auto Save History
-          zh_Hans: 自动保存历史
-        description:
-          en_US: Whether to automatically save conversation history
-          zh_Hans: 是否自动保存对话历史
-        type: boolean
-        default: true
-      - name: timeout
-        label:
-          en_US: Request Timeout
-          zh_Hans: 请求超时
-        description:
-          en_US: Timeout in seconds for API requests
-          zh_Hans: API 请求超时时间（秒）
-        type: number
-        default: 120
+        default: '{}'
--- a/tests/unit_tests/platform/init.py
+++ b/tests/unit_tests/platform/init.py
--- a/tests/unit_tests/platform/test_routing_rules.py
+++ b/tests/unit_tests/platform/test_routing_rules.py
@@ -0,0 +1,280 @@
+"""
+RuntimeBot.resolve_pipeline_uuid and _match_operator unit tests
+"""
+
+from unittest.mock import Mock
+
+
+class TestMatchOperator:
+    """Test the _match_operator static method."""
+
+    @staticmethod
+    def _get_class():
+        from langbot.pkg.platform.botmgr import RuntimeBot
+
+        return RuntimeBot
+
+    def test_eq(self):
+        cls = self._get_class()
+        assert cls._match_operator('hello', 'eq', 'hello') is True
+        assert cls._match_operator('hello', 'eq', 'world') is False
+
+    def test_neq(self):
+        cls = self._get_class()
+        assert cls._match_operator('hello', 'neq', 'world') is True
+        assert cls._match_operator('hello', 'neq', 'hello') is False
+
+    def test_contains(self):
+        cls = self._get_class()
+        assert cls._match_operator('hello world', 'contains', 'world') is True
+        assert cls._match_operator('hello world', 'contains', 'xyz') is False
+
+    def test_not_contains(self):
+        cls = self._get_class()
+        assert cls._match_operator('hello world', 'not_contains', 'xyz') is True
+        assert cls._match_operator('hello world', 'not_contains', 'world') is False
+
+    def test_starts_with(self):
+        cls = self._get_class()
+        assert cls._match_operator('hello world', 'starts_with', 'hello') is True
+        assert cls._match_operator('hello world', 'starts_with', 'world') is False
+
+    def test_regex(self):
+        cls = self._get_class()
+        assert cls._match_operator('hello123', 'regex', r'\d+') is True
+        assert cls._match_operator('hello', 'regex', r'\d+') is False
+
+    def test_regex_invalid_pattern(self):
+        cls = self._get_class()
+        assert cls._match_operator('hello', 'regex', r'[invalid') is False
+
+    def test_unknown_operator(self):
+        cls = self._get_class()
+        assert cls._match_operator('hello', 'unknown_op', 'hello') is False
+
+
+class TestResolvePipelineUuid:
+    """Test the resolve_pipeline_uuid method."""
+
+    @staticmethod
+    def _make_bot(default_pipeline: str, rules: list):
+        from langbot.pkg.platform.botmgr import RuntimeBot
+
+        bot_entity = Mock()
+        bot_entity.use_pipeline_uuid = default_pipeline
+        bot_entity.pipeline_routing_rules = rules
+
+        bot = object.__new__(RuntimeBot)
+        bot.bot_entity = bot_entity
+        return bot
+
+    def test_no_rules_returns_default(self):
+        bot = self._make_bot('default-uuid', [])
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
+        assert uuid == 'default-uuid'
+        assert routed is False
+
+    def test_none_rules_returns_default(self):
+        bot = self._make_bot('default-uuid', None)
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
+        assert uuid == 'default-uuid'
+        assert routed is False
+
+    def test_launcher_type_match(self):
+        rules = [
+            {
+                'type': 'launcher_type',
+                'operator': 'eq',
+                'value': 'group',
+                'pipeline_uuid': 'group-pipeline',
+            }
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('group', '123', 'hi')
+        assert uuid == 'group-pipeline'
+        assert routed is True
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
+        assert uuid == 'default-uuid'
+        assert routed is False
+
+    def test_launcher_id_match(self):
+        rules = [
+            {
+                'type': 'launcher_id',
+                'operator': 'eq',
+                'value': '12345',
+                'pipeline_uuid': 'vip-pipeline',
+            }
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '12345', 'hi')
+        assert uuid == 'vip-pipeline'
+        assert routed is True
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '99999', 'hi')
+        assert uuid == 'default-uuid'
+        assert routed is False
+
+    def test_message_content_contains(self):
+        rules = [
+            {
+                'type': 'message_content',
+                'operator': 'contains',
+                'value': '紧急',
+                'pipeline_uuid': 'urgent-pipeline',
+            }
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', '这是紧急消息')
+        assert uuid == 'urgent-pipeline'
+        assert routed is True
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', '普通消息')
+        assert uuid == 'default-uuid'
+        assert routed is False
+
+    def test_message_content_regex(self):
+        rules = [
+            {
+                'type': 'message_content',
+                'operator': 'regex',
+                'value': r'^/admin\b',
+                'pipeline_uuid': 'admin-pipeline',
+            }
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', '/admin help')
+        assert uuid == 'admin-pipeline'
+        assert routed is True
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hello /admin')
+        assert uuid == 'default-uuid'
+        assert routed is False
+
+    def test_message_has_element_eq(self):
+        rules = [
+            {
+                'type': 'message_has_element',
+                'operator': 'eq',
+                'value': 'Image',
+                'pipeline_uuid': 'image-pipeline',
+            }
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi', ['Plain', 'Image'])
+        assert uuid == 'image-pipeline'
+        assert routed is True
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi', ['Plain'])
+        assert uuid == 'default-uuid'
+        assert routed is False
+
+    def test_message_has_element_neq(self):
+        rules = [
+            {
+                'type': 'message_has_element',
+                'operator': 'neq',
+                'value': 'Image',
+                'pipeline_uuid': 'text-only-pipeline',
+            }
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi', ['Plain'])
+        assert uuid == 'text-only-pipeline'
+        assert routed is True
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi', ['Plain', 'Image'])
+        assert uuid == 'default-uuid'
+        assert routed is False
+
+    def test_message_has_element_no_types_provided(self):
+        """When element types are not provided, should not match."""
+        rules = [
+            {
+                'type': 'message_has_element',
+                'operator': 'eq',
+                'value': 'Image',
+                'pipeline_uuid': 'image-pipeline',
+            }
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
+        assert uuid == 'default-uuid'
+        assert routed is False
+
+    def test_first_match_wins(self):
+        rules = [
+            {
+                'type': 'launcher_type',
+                'operator': 'eq',
+                'value': 'group',
+                'pipeline_uuid': 'first-pipeline',
+            },
+            {
+                'type': 'launcher_type',
+                'operator': 'eq',
+                'value': 'group',
+                'pipeline_uuid': 'second-pipeline',
+            },
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('group', '123', 'hi')
+        assert uuid == 'first-pipeline'
+        assert routed is True
+
+    def test_skip_invalid_rules(self):
+        rules = [
+            {'type': '', 'operator': 'eq', 'value': 'x', 'pipeline_uuid': 'p1'},
+            {'type': 'launcher_type', 'operator': 'eq', 'value': 'person', 'pipeline_uuid': ''},
+            {'type': 'launcher_type', 'operator': 'eq', 'value': 'person', 'pipeline_uuid': 'valid'},
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
+        assert uuid == 'valid'
+        assert routed is True
+
+    def test_default_operator_is_eq(self):
+        rules = [
+            {
+                'type': 'launcher_type',
+                'value': 'person',
+                'pipeline_uuid': 'person-pipeline',
+            }
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
+        assert uuid == 'person-pipeline'
+        assert routed is True
+
+    def test_discard_pipeline(self):
+        """When pipeline_uuid is __discard__, the message should be discarded."""
+        from langbot.pkg.platform.botmgr import RuntimeBot
+
+        rules = [
+            {
+                'type': 'message_content',
+                'operator': 'contains',
+                'value': 'spam',
+                'pipeline_uuid': RuntimeBot.PIPELINE_DISCARD,
+            }
+        ]
+        bot = self._make_bot('default-uuid', rules)
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'this is spam')
+        assert uuid == RuntimeBot.PIPELINE_DISCARD
+        assert routed is True
+
+        uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'normal message')
+        assert uuid == 'default-uuid'
+        assert routed is False
--- a/uv.lock
+++ b/uv.lock
@@ -186,6 +186,20 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/00/b7/e3bf5133d697a08128598c8d0abc5e16377b51465a33756de24fa7dee953/aiosqlite-0.22.1-py3-none-any.whl", hash = "sha256:21c002eb13823fad740196c5a2e9d8e62f6243bd9e7e4a1f87fb5e44ecb4fceb", size = 17405, upload-time = "2025-12-23T19:25:42.139Z" },
 ]

+[[package]]
+name = "alembic"
+version = "1.18.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "mako" },
+    { name = "sqlalchemy" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/94/13/8b084e0f2efb0275a1d534838844926f798bd766566b1375174e2448cd31/alembic-1.18.4.tar.gz", hash = "sha256:cb6e1fd84b6174ab8dbb2329f86d631ba9559dd78df550b57804d607672cedbc", size = 2056725, upload-time = "2026-02-10T16:00:47.195Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d2/29/6533c317b74f707ea28f8d633734dbda2119bbadfc61b2f3640ba835d0f7/alembic-1.18.4-py3-none-any.whl", hash = "sha256:a5ed4adcf6d8a4cb575f3d759f071b03cd6e5c7618eb796cb52497be25bfe19a", size = 263893, upload-time = "2026-02-10T16:00:49.997Z" },
+]
+
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -1832,7 +1846,7 @@ wheels = [

 [[package]]
 name = "langbot"
-version = "4.9.4"
+version = "4.9.6"
 source = { editable = "." }
 dependencies = [
    { name = "aiocqhttp" },
@@ -1840,6 +1854,7 @@ dependencies = [
    { name = "aiohttp" },
    { name = "aioshutil" },
    { name = "aiosqlite" },
+    { name = "alembic" },
    { name = "anthropic" },
    { name = "argon2-cffi" },
    { name = "async-lru" },
@@ -1919,6 +1934,7 @@ requires-dist = [
    { name = "aiohttp", specifier = ">=3.11.18" },
    { name = "aioshutil", specifier = ">=1.5" },
    { name = "aiosqlite", specifier = ">=0.21.0" },
+    { name = "alembic", specifier = ">=1.15.0" },
    { name = "anthropic", specifier = ">=0.51.0" },
    { name = "argon2-cffi", specifier = ">=23.1.0" },
    { name = "async-lru", specifier = ">=2.0.5" },
@@ -1937,7 +1953,7 @@ requires-dist = [
    { name = "ebooklib", specifier = ">=0.18" },
    { name = "gewechat-client", specifier = ">=0.1.5" },
    { name = "html2text", specifier = ">=2024.2.26" },
-    { name = "langbot-plugin", specifier = "==0.3.5" },
+    { name = "langbot-plugin", specifier = "==0.3.8" },
    { name = "langchain", specifier = ">=0.2.0" },
    { name = "langchain-text-splitters", specifier = ">=0.0.1" },
    { name = "lark-oapi", specifier = ">=1.4.15" },
@@ -1993,7 +2009,7 @@ dev = [

 [[package]]
 name = "langbot-plugin"
-version = "0.3.5"
+version = "0.3.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "aiofiles" },
@@ -2011,9 +2027,9 @@ dependencies = [
    { name = "watchdog" },
    { name = "websockets" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/1c/8f/0a22e4461b0893ac2afb1b6aaebafe04c921df6dbbf4b8bd6c83cf6a97b2/langbot_plugin-0.3.5.tar.gz", hash = "sha256:79c7feb08f788f480435de8cdefc3cfed4de2dfb03978a460251b8c9d1c271d3", size = 171927, upload-time = "2026-03-25T13:53:18.334Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/b8/d8/7c8ac9516e35d69ead3e934b408e48541f5772eb88fbed19cd216af4b6c2/langbot_plugin-0.3.8.tar.gz", hash = "sha256:e8e420c3b2f167c9635e3e0af46fb452895be9d68ec05bf112ac5f221c3316f3", size = 179803, upload-time = "2026-04-10T11:05:42.791Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/cd/93/fdd4eb54434a358a3917aec74190e2e1b64351a5bb955677f634d29fc4fd/langbot_plugin-0.3.5-py3-none-any.whl", hash = "sha256:4d31f92338e1e2dc343ae00982e4facbe7abae84f4d1c4e1375cdcac9d7155d7", size = 146575, upload-time = "2026-03-25T13:53:16.987Z" },
+    { url = "https://files.pythonhosted.org/packages/81/63/4a61b67d4886522647e0b60063da155279b943a6b2e6cd004e29aedf67d1/langbot_plugin-0.3.8-py3-none-any.whl", hash = "sha256:2246f343b4735cb4004cf44462ffb47531222c21efeef163a4acd758ebbec2cd", size = 157354, upload-time = "2026-04-10T11:05:41.525Z" },
 ]

 [[package]]
@@ -2409,6 +2425,18 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/6c/77/d7f491cbc05303ac6801651aabeb262d43f319288c1ea96c66b1d2692ff3/lxml-6.0.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:27220da5be049e936c3aca06f174e8827ca6445a4353a1995584311487fc4e3e", size = 3518768, upload-time = "2025-09-22T04:04:57.097Z" },
 ]

+[[package]]
+name = "mako"
+version = "1.3.10"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markupsafe" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9e/38/bd5b78a920a64d708fe6bc8e0a2c075e1389d53bef8413725c63ba041535/mako-1.3.10.tar.gz", hash = "sha256:99579a6f39583fa7e5630a28c3c1f440e4e97a414b80372649c0ce338da2ea28", size = 392474, upload-time = "2025-04-10T12:44:31.16Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/87/fb/99f81ac72ae23375f22b7afdb7642aba97c00a713c217124420147681a2f/mako-1.3.10-py3-none-any.whl", hash = "sha256:baef24a52fc4fc514a0887ac600f9f1cff3d82c61d4d700a1fa84d597b88db59", size = 78509, upload-time = "2025-04-10T12:50:53.297Z" },
+]
+
 [[package]]
 name = "markdown"
 version = "3.10.1"
--- a/web/.env.example
+++ b/web/.env.example
@@ -1 +1 @@
-NEXT_PUBLIC_API_BASE_URL=http://localhost:5300
+VITE_API_BASE_URL=http://localhost:5300
--- a/web/.gitignore
+++ b/web/.gitignore
@@ -14,6 +14,7 @@
 /coverage

 # next.js
+/dist/
 /.next/
 /out/

--- a/web/README.md
+++ b/web/README.md
@@ -1,3 +1,3 @@
 # Debug LangBot Frontend

-Please refer to the [Development Guide](https://docs.langbot.app/en/develop/dev-config.html) for more information.
+Please refer to the [Development Guide](https://link.langbot.app/en/docs/dev-config) for more information.
--- a/web/components.json
+++ b/web/components.json
@@ -1,7 +1,7 @@
 {
  "$schema": "https://ui.shadcn.com/schema.json",
  "style": "new-york",
-  "rsc": true,
+  "rsc": false,
  "tsx": true,
  "tailwind": {
    "config": "",
--- a/web/eslint.config.mjs
+++ b/web/eslint.config.mjs
@@ -1,18 +1,27 @@
-import { dirname } from 'path';
-import { fileURLToPath } from 'url';
-import { FlatCompat } from '@eslint/eslintrc';
 import eslintPluginPrettierRecommended from 'eslint-plugin-prettier/recommended';
-
-const __filename = fileURLToPath(import.meta.url);
-const __dirname = dirname(__filename);
-
-const compat = new FlatCompat({
-  baseDirectory: __dirname,
-});
+import reactHooks from 'eslint-plugin-react-hooks';
+import tseslint from 'typescript-eslint';

 const eslintConfig = [
-  ...compat.extends('next/core-web-vitals', 'next/typescript'),
+  ...tseslint.configs.recommended,
+  {
+    files: ['**/*.{js,jsx,ts,tsx}'],
+    plugins: {
+      'react-hooks': reactHooks,
+    },
+    rules: {
+      ...reactHooks.configs.recommended.rules,
+      '@typescript-eslint/no-unused-vars': [
+        'warn',
+        { argsIgnorePattern: '^_', varsIgnorePattern: '^_' },
+      ],
+      '@typescript-eslint/no-explicit-any': 'off',
+    },
+  },
  eslintPluginPrettierRecommended,
+  {
+    ignores: ['dist/**', 'node_modules/**'],
+  },
 ];

 export default eslintConfig;
--- a/web/fix_router.sh
+++ b/web/fix_router.sh
@@ -0,0 +1,2 @@
+sed -i 's/children={<HomePage \/>} />\n          <HomePage \/>\n        <\/HomeLayout>/g' src/router.tsx
+# well it's easier to recreate router.tsx
--- a/web/index.html
+++ b/web/index.html
@@ -0,0 +1,16 @@
+<!doctype html>
+<html lang="zh">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>LangBot</title>
+    <meta
+      name="description"
+      content="Production-grade platform for building agentic IM bots"
+    />
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.tsx"></script>
+  </body>
+</html>
--- a/web/migrate.sh
+++ b/web/migrate.sh
@@ -0,0 +1,29 @@
+#!/bin/bash
+cd /root/.openclaw/workspace/coding/projects/LangBot/web
+
+# Find and replace next/navigation
+find src -type f \( -name "*.ts" -o -name "*.tsx" \) -exec sed -i \
+  -e "s/import {.*useRouter.*} from 'next\/navigation'/import { useNavigate } from 'react-router-dom'/g" \
+  -e "s/import {.*usePathname.*} from 'next\/navigation'/import { useLocation } from 'react-router-dom'/g" \
+  -e "s/import {.*useSearchParams.*} from 'next\/navigation'/import { useSearchParams } from 'react-router-dom'/g" \
+  -e "s/const router = useRouter()/const navigate = useNavigate()/g" \
+  -e "s/router\.push(/navigate(/g" \
+  -e "s/router\.replace(/navigate(/g" \
+  -e "s/router\.back()/navigate(-1)/g" \
+  -e "s/router\.refresh()/navigate(0)/g" \
+  -e "s/const pathname = usePathname()/const location = useLocation();\n  const pathname = location.pathname;/g" \
+  -e "s/usePathname()/useLocation().pathname/g" \
+  {} +
+
+# Note: useSearchParams returns a tuple in react-router-dom. This might need manual fix depending on usage.
+
+# Replace next/link
+find src -type f \( -name "*.ts" -o -name "*.tsx" \) -exec sed -i \
+  -e "s/import Link from 'next\/link'/import { Link } from 'react-router-dom'/g" \
+  -e "s/<Link href=/<Link to=/g" \
+  {} +
+
+# Remove 'use client'
+find src -type f \( -name "*.ts" -o -name "*.tsx" \) -exec sed -i "s/'use client';//g" {} +
+find src -type f \( -name "*.ts" -o -name "*.tsx" \) -exec sed -i 's/"use client";//g' {} +
+
--- a/web/next.config.ts
+++ b/web/next.config.ts
@@ -1,8 +0,0 @@
-import type { NextConfig } from 'next';
-
-const nextConfig: NextConfig = {
-  /* config options here */
-  output: 'export',
-};
-
-export default nextConfig;
--- a/web/package-lock.json
+++ b/web/package-lock.json
--- a/web/package.json
+++ b/web/package.json
@@ -3,16 +3,15 @@
  "version": "0.1.0",
  "private": true,
  "scripts": {
-    "dev": "next dev --turbopack",
-    "build": "next build",
-    "start": "next start",
-    "lint": "eslint src",
-    "lint:fix": "eslint src --fix",
-    "lint-staged": "lint-staged"
+    "dev": "vite",
+    "build": "tsc && vite build",
+    "preview": "vite preview",
+    "lint": "eslint .",
+    "format": "prettier --write ."
  },
  "lint-staged": {
    "*.{js,jsx,ts,tsx}": [
-      "next lint --fix",
+      "eslint --fix",
      "prettier --write"
    ]
  },
@@ -25,6 +24,7 @@
    "@dnd-kit/utilities": "^3.2.2",
    "@hookform/resolvers": "^5.0.1",
    "@radix-ui/react-alert-dialog": "^1.1.15",
+    "@radix-ui/react-avatar": "^1.1.11",
    "@radix-ui/react-checkbox": "^1.3.1",
    "@radix-ui/react-collapsible": "^1.1.12",
    "@radix-ui/react-context-menu": "^2.2.15",
@@ -33,6 +33,7 @@
    "@radix-ui/react-hover-card": "^1.1.13",
    "@radix-ui/react-label": "^2.1.6",
    "@radix-ui/react-popover": "^1.1.14",
+    "@radix-ui/react-progress": "^1.1.8",
    "@radix-ui/react-scroll-area": "^1.2.9",
    "@radix-ui/react-select": "^2.2.4",
    "@radix-ui/react-separator": "^1.1.8",
@@ -44,6 +45,7 @@
    "@radix-ui/react-tooltip": "^1.2.7",
    "@tailwindcss/postcss": "^4.1.5",
    "@tanstack/react-table": "^8.21.3",
+    "@vitejs/plugin-react": "^6.0.1",
    "axios": "^1.13.5",
    "class-variance-authority": "^0.7.1",
    "clsx": "^2.1.1",
@@ -53,8 +55,6 @@
    "input-otp": "^1.4.2",
    "lodash": "^4.17.23",
    "lucide-react": "^0.507.0",
-    "next": "~16.1.5",
-    "next-themes": "^0.4.6",
    "postcss": "^8.5.3",
    "qrcode": "^1.5.4",
    "react": "19.2.1",
@@ -63,6 +63,7 @@
    "react-i18next": "^15.5.1",
    "react-markdown": "^10.1.0",
    "react-photo-view": "^1.2.7",
+    "react-router-dom": "^7.14.0",
    "react-syntax-highlighter": "^16.1.0",
    "recharts": "2.15.4",
    "rehype-autolink-headings": "^7.1.0",
@@ -75,10 +76,10 @@
    "tailwind-merge": "^3.2.0",
    "tailwindcss": "^4.1.5",
    "uuidjs": "^5.1.0",
+    "vite": "^8.0.3",
    "zod": "^3.24.4"
  },
  "devDependencies": {
-    "@eslint/eslintrc": "^3",
    "@types/debug": "^4.1.12",
    "@types/estree": "^1.0.8",
    "@types/estree-jsx": "^1.0.5",
@@ -93,9 +94,10 @@
    "@types/react-syntax-highlighter": "^15.5.13",
    "@types/unist": "^3.0.3",
    "eslint": "^9",
-    "eslint-config-next": "15.2.4",
    "eslint-config-prettier": "^10.1.2",
    "eslint-plugin-prettier": "^5.2.6",
+    "eslint-plugin-react": "^7.37.5",
+    "eslint-plugin-react-hooks": "^5.2.0",
    "lint-staged": "^15.5.1",
    "prettier": "^3.5.3",
    "tw-animate-css": "^1.2.9",
--- a/web/pnpm-lock.yaml
+++ b/web/pnpm-lock.yaml
--- a/web/src/app/auth/space/callback/page.tsx
+++ b/web/src/app/auth/space/callback/page.tsx
@@ -1,7 +1,5 @@
-'use client';
-
 import { useEffect, useState, useCallback, Suspense } from 'react';
-import { useRouter, useSearchParams } from 'next/navigation';
+import { useNavigate, useSearchParams } from 'react-router-dom';
 import { httpClient } from '@/app/infra/http/HttpClient';
 import { toast } from 'sonner';
 import { useTranslation } from 'react-i18next';
@@ -23,8 +21,8 @@ import { LoadingSpinner } from '@/components/ui/loading-spinner';
 import langbotIcon from '@/app/assets/langbot-logo.webp';

 function SpaceOAuthCallbackContent() {
-  const router = useRouter();
-  const searchParams = useSearchParams();
+  const navigate = useNavigate();
+  const [searchParams] = useSearchParams();
  const { t } = useTranslation();

  const [status, setStatus] = useState<
@@ -46,8 +44,12 @@ function SpaceOAuthCallbackContent() {
        }
        setStatus('success');
        toast.success(t('common.spaceLoginSuccess'));
+
+        // If wizard state exists, redirect back to wizard instead of home
+        const wizardState = localStorage.getItem('langbot_wizard_state');
+        const redirectTo = wizardState ? '/wizard' : '/home';
        setTimeout(() => {
-          router.push('/home');
+          navigate(redirectTo);
        }, 1000);
      } catch (err) {
        setStatus('error');
@@ -60,7 +62,7 @@ function SpaceOAuthCallbackContent() {
        }
      }
    },
-    [router, t],
+    [navigate, t],
  );

  const [bindState, setBindState] = useState<string | null>(null);
@@ -77,7 +79,7 @@ function SpaceOAuthCallbackContent() {
        setStatus('success');
        toast.success(t('account.bindSpaceSuccess'));
        setTimeout(() => {
-          router.push('/home');
+          navigate('/home');
        }, 1000);
      } catch (err) {
        setStatus('error');
@@ -92,7 +94,7 @@ function SpaceOAuthCallbackContent() {
        setIsProcessing(false);
      }
    },
-    [router, t],
+    [navigate, t],
  );

  useEffect(() => {
@@ -142,7 +144,7 @@ function SpaceOAuthCallbackContent() {
  };

  const handleCancelBind = () => {
-    router.push('/home');
+    navigate('/home');
  };

  return (
@@ -150,7 +152,7 @@ function SpaceOAuthCallbackContent() {
      <Card className="w-[400px] shadow-lg dark:shadow-white/10">
        <CardHeader className="text-center">
          <img
-            src={langbotIcon.src}
+            src={langbotIcon}
            alt="LangBot"
            className="w-16 h-16 mb-4 mx-auto"
          />
@@ -213,7 +215,7 @@ function SpaceOAuthCallbackContent() {
            <>
              <AlertCircle className="h-12 w-12 text-red-500" />
              <Button
-                onClick={() => router.push(isBindMode ? '/home' : '/login')}
+                onClick={() => navigate(isBindMode ? '/home' : '/login')}
                className="w-full mt-4"
              >
                {isBindMode ? t('common.backToHome') : t('common.backToLogin')}
--- a/web/src/app/global.css
+++ b/web/src/app/global.css
@@ -1,3 +1,5 @@
+@import 'tailwindcss';
+@import 'tw-animate-css';
 :root {
  /* 适用于 Firefox 的滚动条 */
  scrollbar-color: rgba(0, 0, 0, 0.2) transparent; /* 滑块颜色 + 轨道颜色 */
@@ -72,10 +74,6 @@
  }
 }

-@import 'tailwindcss';
-
-@import 'tw-animate-css';
-
@custom-variant dark (&:is(.dark *));

@theme inline {
@@ -114,22 +112,23 @@
  --color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
  --color-sidebar-border: var(--sidebar-border);
  --color-sidebar-ring: var(--sidebar-ring);
+  --animate-twinkle: twinkle 1.5s ease-in-out infinite;
 }

 .dark {
-  --background: oklch(0.08 0.002 285.823);
+  --background: oklch(0.17 0.003 285.823);
  --foreground: oklch(0.985 0 0);
-  --card: oklch(0.12 0.004 285.885);
+  --card: oklch(0.16 0.004 285.885);
  --card-foreground: oklch(0.985 0 0);
-  --popover: oklch(0.12 0.004 285.885);
+  --popover: oklch(0.16 0.004 285.885);
  --popover-foreground: oklch(0.985 0 0);
  --primary: oklch(0.62 0.2 255);
  --primary-foreground: oklch(1 0 0);
-  --secondary: oklch(0.18 0.004 286.033);
+  --secondary: oklch(0.27 0.005 286.033);
  --secondary-foreground: oklch(0.985 0 0);
-  --muted: oklch(0.18 0.004 286.033);
+  --muted: oklch(0.27 0.005 286.033);
  --muted-foreground: oklch(0.705 0.015 286.067);
-  --accent: oklch(0.18 0.004 286.033);
+  --accent: oklch(0.27 0.005 286.033);
  --accent-foreground: oklch(0.985 0 0);
  --destructive: oklch(0.704 0.191 22.216);
  --border: oklch(1 0 0 / 8%);
@@ -140,7 +139,7 @@
  --chart-3: oklch(0.769 0.188 70.08);
  --chart-4: oklch(0.627 0.265 303.9);
  --chart-5: oklch(0.645 0.246 16.439);
-  --sidebar: oklch(0.1 0.003 285.885);
+  --sidebar: oklch(0.05 0.002 285.885);
  --sidebar-foreground: oklch(0.985 0 0);
  --sidebar-primary: oklch(0.62 0.2 255);
  --sidebar-primary-foreground: oklch(1 0 0);
@@ -158,3 +157,23 @@
    @apply bg-background text-foreground;
  }
 }
+
+@keyframes twinkle {
+  0%,
+  100% {
+    opacity: 1;
+    transform: scale(1) rotate(0deg);
+  }
+  25% {
+    opacity: 0.6;
+    transform: scale(0.85) rotate(-8deg);
+  }
+  50% {
+    opacity: 1;
+    transform: scale(1.15) rotate(4deg);
+  }
+  75% {
+    opacity: 0.7;
+    transform: scale(0.95) rotate(-4deg);
+  }
+}
--- a/Show More
+++ b/Show More