feat(platform): add slack eba adapter

- TelegramAdapter inherits AbstractPlatformAdapter with all capabilities
- TelegramEventConverter handles all Update types: message, edited_message,
  chat_member, my_chat_member, callback_query, message_reaction
- TelegramAPIMixin implements: edit_message, delete_message, forward_message,
  get_group_info, get_group_member_list/info, get_user_info, get_file_url,
  mute/unmute/kick_member, leave_group
- PLATFORM_API_MAP for call_platform_api: pin/unpin message, set chat title/desc,
  get admins, send chat action, create invite link, answer callback query
- Full backward compat: legacy FriendMessage/GroupMessage listeners still work
- Preserves all existing functionality: stream output, markdown card, forum topics
- Old sources/telegram.py untouched for gradual migration

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -10,15 +10,6 @@ body:
       placeholder: 例如：v3.3.0、CentOS x64 Python 3.10.3、Docker
     validations:
       required: true
-  - type: dropdown
-    attributes:
-      label: 部署版本
-      description: 请选择您使用的 LangBot 部署版本。
-      options:
-        - 社区版
-        - 云服务
-    validations:
-      required: true
   - type: textarea
     attributes:
       label: 异常情况

.github/ISSUE_TEMPLATE/bug-report_en.yml

@@ -10,15 +10,6 @@ body:
       placeholder: "For example: v3.3.0, CentOS x64 Python 3.10.3, Docker"
     validations:
       required: true
-  - type: dropdown
-    attributes:
-      label: Deployment version
-      description: Please select the LangBot deployment version you are using.
-      options:
-        - Community Edition
-        - Cloud Service
-    validations:
-      required: true
   - type: textarea
     attributes:
       label: Exception

.github/workflows/run-tests.yml

@@ -4,25 +4,25 @@ on:
   pull_request:
     types: [opened, ready_for_review, synchronize]
     paths:
-      - 'src/langbot/**'
+      - 'pkg/**'
       - 'tests/**'
       - '.github/workflows/run-tests.yml'
       - 'pyproject.toml'
-      - 'uv.lock'
       - 'run_tests.sh'
-      - 'scripts/test-*.sh'
   push:
     branches:
       - master
       - develop
-      - 'feat/**'
+    paths:
-    # No path filter on push: every push to the branches above runs the
+      - 'pkg/**'
-    # full unit-test suite. feat/** branches in particular must be tested
+      - 'tests/**'
-    # on every push (they accumulate large changes before a PR exists).
+      - '.github/workflows/run-tests.yml'
+      - 'pyproject.toml'
+      - 'run_tests.sh'
 
 jobs:
   test:
-    name: Unit Tests
+    name: Run Unit Tests
     runs-on: ubuntu-latest
     strategy:
       matrix:
@@ -39,13 +39,28 @@ jobs:
           python-version: ${{ matrix.python-version }}
 
       - name: Install uv
-        uses: astral-sh/setup-uv@v4
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.cargo/bin" >> $GITHUB_PATH
 
       - name: Install dependencies
-        run: uv sync --dev
+        run: |
+          uv sync --dev
 
-      - name: Run unit + smoke tests
+      - name: Run unit tests
-        run: uv run pytest tests/unit_tests/ tests/smoke/ -q --tb=short
+        run: |
+          bash run_tests.sh
+
+      - name: Upload coverage to Codecov
+        if: matrix.python-version == '3.12'
+        uses: codecov/codecov-action@v5
+        with:
+          files: ./coverage.xml
+          flags: unit-tests
+          name: unit-tests-coverage
+          fail_ci_if_error: false
+        env:
+          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
 
       - name: Test Summary
         if: always()
@@ -54,79 +69,3 @@ jobs:
           echo "" >> $GITHUB_STEP_SUMMARY
           echo "Python Version: ${{ matrix.python-version }}" >> $GITHUB_STEP_SUMMARY
           echo "Test Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY
-
-  integration:
-    name: Fast Integration Tests
-    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: Run fast integration tests
-        run: uv run pytest tests/integration/ -m "not slow" -q --tb=short
-
-      - name: Integration Test Summary
-        if: always()
-        run: |
-          echo "## Integration Tests Results" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "Test Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY
-
-  coverage:
-    name: Coverage Gate
-    runs-on: ubuntu-latest
-    needs: [test, integration]
-
-    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: Run coverage (unit + smoke)
-        run: |
-          uv run pytest tests/unit_tests/ tests/smoke/ \
-            --cov=langbot \
-            --cov-report=xml \
-            --cov-report=term-missing \
-            --cov-fail-under=18 \
-            -q --tb=short
-
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v5
-        with:
-          files: ./coverage.xml
-          flags: unit-tests
-          name: coverage-report
-          fail_ci_if_error: false
-        env:
-          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
-
-      - name: Coverage Summary
-        if: always()
-        run: |
-          echo "## Coverage Results" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "Threshold: 18%" >> $GITHUB_STEP_SUMMARY
-          echo "Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY

.github/workflows/test-migrations.yml

@@ -9,13 +9,11 @@ on:
     paths:
       - 'src/langbot/pkg/persistence/**'
       - 'src/langbot/pkg/entity/persistence/**'
-      - 'tests/integration/persistence/**'
   pull_request:
     types: [opened, synchronize, reopened, ready_for_review]
     paths:
       - 'src/langbot/pkg/persistence/**'
       - 'src/langbot/pkg/entity/persistence/**'
-      - 'tests/integration/persistence/**'
 
 jobs:
   test-migrations-sqlite:
@@ -36,8 +34,52 @@ jobs:
       - name: Install dependencies
         run: uv sync --dev
 
-      - name: Run SQLite migration tests
+      - name: Test Alembic upgrade (SQLite)
-        run: uv run pytest tests/integration/persistence/test_migrations.py -q --tb=short
+        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)
@@ -72,7 +114,58 @@ jobs:
       - name: Install dependencies
         run: uv sync --dev
 
-      - name: Run PostgreSQL migration tests
+      - name: Test Alembic upgrade (PostgreSQL)
-        env:
+        run: |
-          TEST_POSTGRES_URL: postgresql+asyncpg://langbot:langbot@localhost:5432/langbot_test
+          uv run python -c "
-        run: uv run pytest tests/integration/persistence/test_migrations_postgres.py -q --tb=short
+          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())
+          "

Makefile

@@ -1,36 +0,0 @@
-# LangBot Makefile
-# Quick developer commands
-
-.PHONY: test test-quick test-integration-fast test-coverage test-all-local lint
-
-# Run all tests (full suite with coverage)
-test:
-	bash run_tests.sh
-
-# Quick self-test for developers (lint + unit + smoke, no real credentials needed)
-test-quick:
-	bash scripts/test-quick.sh
-
-# Fast integration tests (SQLite/API/Pipeline, no external services)
-test-integration-fast:
-	bash scripts/test-integration-fast.sh
-
-# Coverage gate (all tests, enforces minimum threshold)
-test-coverage:
-	bash scripts/test-coverage.sh
-
-# Full local quality gate (quick + integration + coverage)
-test-all-local:
-	bash scripts/test-quick.sh
-	bash scripts/test-integration-fast.sh
-	bash scripts/test-coverage.sh
-
-# Run linting only
-lint:
-	ruff check src/langbot/ tests/
-	ruff format --check src/langbot/ tests/
-
-# Fix linting issues
-lint-fix:
-	ruff check --fix src/langbot/ tests/
-	ruff format src/langbot/ tests/

README.md

@@ -47,8 +47,6 @@ LangBot is an **open-source, production-grade platform** for building AI-powered
 
 [→ Learn more about all features](https://link.langbot.app/en/docs/features)
 
-📍 Practical guides: [deploy a multi-platform AI bot in 5 minutes](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [connect DeepSeek to WeChat, Discord, and Telegram](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [run a Dify Agent in Discord, Telegram, and Slack](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/), and [build an n8n-powered chatbot](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
-
 ---
 
 ## Quick Start

README_CN.md

@@ -25,7 +25,7 @@
 <a href="https://link.langbot.app/zh/docs/guide">文档</a> ｜
 <a href="https://link.langbot.app/zh/docs/api">API</a> ｜
 <a href="https://space.langbot.app/cloud">Cloud</a> ｜
-<a href="https://space.langbot.app">扩展市场</a> ｜
+<a href="https://space.langbot.app">插件市场</a> ｜
 <a href="https://langbot.featurebase.app/roadmap">路线图</a>
 
 </div>
@@ -47,8 +47,6 @@ LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时
 
 [→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
 
-📍 实践指南：[5 分钟部署多平台 AI 机器人](https://blog.langbot.app/zh/blog/deploy-ai-bot-in-5-minutes/)、[将 DeepSeek 接入微信、企业微信与 Discord](https://blog.langbot.app/zh/blog/connect-deepseek-to-wechat/)、[让 Dify Agent 跑在 Discord、Telegram 和 Slack 上](https://blog.langbot.app/zh/blog/dify-agent-discord-telegram-slack/)，以及[用 n8n 构建多平台 AI 聊天机器人](https://blog.langbot.app/zh/blog/n8n-multi-platform-ai-chatbot/)。
-
 ---
 
 ## 快速开始

README_ES.md

@@ -46,8 +46,6 @@ LangBot es una **plataforma de código abierto y grado de producción** para con
 
 [→ Conocer más sobre todas las funcionalidades](https://link.langbot.app/en/docs/features)
 
-📍 Guías prácticas: [desplegar un bot de IA multiplataforma en 5 minutos](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [conectar DeepSeek a WeChat, Discord y Telegram](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [ejecutar un Dify Agent en Discord, Telegram y Slack](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/) y [crear un chatbot con n8n](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
-
 ---
 
 ## Inicio Rápido

README_FR.md

@@ -46,8 +46,6 @@ LangBot est une **plateforme open-source de niveau production** pour créer des
 
 [→ En savoir plus sur toutes les fonctionnalités](https://link.langbot.app/en/docs/features)
 
-📍 Guides pratiques : [déployer un bot IA multiplateforme en 5 minutes](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [connecter DeepSeek à WeChat, Discord et Telegram](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [exécuter un Dify Agent dans Discord, Telegram et Slack](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/) et [créer un chatbot avec n8n](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
-
 ---
 
 ## Démarrage Rapide

README_JP.md

@@ -46,8 +46,6 @@ LangBot は、AI搭載のインスタントメッセージングボットを構
 
 [→ すべての機能について詳しく見る](https://link.langbot.app/ja/docs/features)
 
-📍 実践ガイド: [5分でマルチプラットフォームAIボットをデプロイ](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/)、[DeepSeekをWeChat・Discord・Telegramに接続](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/)、[Dify AgentをDiscord・Telegram・Slackで動かす](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/)、[n8n連携チャットボットを構築](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/)。
-
 ---
 
 ## クイックスタート

README_KO.md

@@ -46,8 +46,6 @@ LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈
 
 [→ 모든 기능 자세히 보기](https://link.langbot.app/en/docs/features)
 
-📍 실전 가이드: [5분 만에 멀티 플랫폼 AI 봇 배포하기](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [DeepSeek를 WeChat, Discord, Telegram에 연결하기](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [Dify Agent를 Discord, Telegram, Slack에서 실행하기](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/), [n8n 기반 챗봇 만들기](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
-
 ---
 
 ## 빠른 시작

README_RU.md

@@ -46,8 +46,6 @@ LangBot — это **платформа с открытым исходным к
 
 [→ Подробнее обо всех возможностях](https://link.langbot.app/en/docs/features)
 
-📍 Практические руководства: [развернуть мультиплатформенного ИИ-бота за 5 минут](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [подключить DeepSeek к WeChat, Discord и Telegram](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [запустить Dify Agent в Discord, Telegram и Slack](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/) и [создать чат-бота на n8n](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
-
 ---
 
 ## Быстрый старт

README_TW.md

@@ -48,8 +48,6 @@ LangBot 是一個**開源的生產級平台**，用於建構 AI 驅動的即時
 
 [→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
 
-📍 實踐指南：[5 分鐘部署多平台 AI 機器人](https://blog.langbot.app/zh/blog/deploy-ai-bot-in-5-minutes/)、[將 DeepSeek 接入微信、企業微信與 Discord](https://blog.langbot.app/zh/blog/connect-deepseek-to-wechat/)、[讓 Dify Agent 跑在 Discord、Telegram 和 Slack 上](https://blog.langbot.app/zh/blog/dify-agent-discord-telegram-slack/)，以及[用 n8n 建構多平台 AI 聊天機器人](https://blog.langbot.app/zh/blog/n8n-multi-platform-ai-chatbot/)。
-
 ---
 
 ## 快速開始

README_VI.md

@@ -46,8 +46,6 @@ LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để x
 
 [→ Tìm hiểu thêm về tất cả tính năng](https://link.langbot.app/en/docs/features)
 
-📍 Hướng dẫn thực hành: [triển khai bot AI đa nền tảng trong 5 phút](https://blog.langbot.app/en/blog/deploy-ai-bot-in-5-minutes/), [kết nối DeepSeek với WeChat, Discord và Telegram](https://blog.langbot.app/en/blog/connect-deepseek-to-wechat/), [chạy Dify Agent trên Discord, Telegram và Slack](https://blog.langbot.app/en/blog/dify-agent-discord-telegram-slack/) và [xây dựng chatbot với n8n](https://blog.langbot.app/en/blog/n8n-multi-platform-ai-chatbot/).
-
 ---
 
 ## Bắt đầu nhanh

docker/docker-compose.yaml

@@ -18,40 +18,6 @@ services:
     networks:
       - langbot_network
 
-  # The Box sandbox runtime is optional. It is only started when you run
-  # ``docker compose --profile box up`` (or ``docker compose --profile all
-  # up``). With Box off, LangBot keeps the dashboard / skills list visible
-  # (read-only) but disables sandbox tools, skill add/edit and stdio MCP —
-  # set ``box.enabled: false`` in ``data/config.yaml`` (or
-  # ``BOX__ENABLED=false`` in the langbot service env below) to match.
-  langbot_box:
-    image: rockchin/langbot:latest
-    container_name: langbot_box
-    profiles: ["box", "all"]
-    volumes:
-      # Keep the source and target path identical because langbot_box uses the
-      # host Docker socket to create sandbox containers. Override
-      # LANGBOT_BOX_ROOT with an absolute path if you do not want the default.
-      - ${LANGBOT_BOX_ROOT:-${PWD}/data/box}:${LANGBOT_BOX_ROOT:-${PWD}/data/box}
-      # Mount container runtime socket for Box sandbox backend.
-      # Uncomment the one that matches your container runtime:
-      # - /var/run/podman/podman.sock:/var/run/podman/podman.sock   # Podman
-      - /var/run/docker.sock:/var/run/docker.sock                   # Docker
-    restart: on-failure
-    environment:
-      - TZ=Asia/Shanghai
-      # The Box runtime does NOT read box.local.* from config.yaml or env; it
-      # receives its configuration from LangBot via the INIT RPC action.
-      # Do not add LANGBOT_BOX_* / BOX__* here — they would be silently ignored.
-    # Launched through the same CLI entry point as the plugin runtime
-    # (`langbot_plugin.cli.__init__ <subcommand>`). WebSocket is the default
-    # control transport — mirrors `rt`, which also runs with no flag. Pass
-    # `-s` / `--stdio-control` only for the stdio mode LangBot uses outside
-    # containers.
-    command: ["uv", "run", "--no-sync", "-m", "langbot_plugin.cli.__init__", "box"]
-    networks:
-      - langbot_network
-
   langbot:
     image: rockchin/langbot:latest
     container_name: langbot
@@ -60,13 +26,6 @@ services:
     restart: on-failure
     environment:
       - TZ=Asia/Shanghai
-      # Unified env-override convention: SECTION__SUBSECTION__KEY overrides the
-      # matching config.yaml field (see LoadConfigStage). These map onto
-      # box.local.* and are forwarded to the Box runtime via INIT RPC.
-      - BOX__LOCAL__HOST_ROOT=${LANGBOT_BOX_ROOT:-${PWD}/data/box}
-      - BOX__LOCAL__DEFAULT_WORKSPACE=default
-      - BOX__LOCAL__SKILLS_ROOT=skills
-      - BOX__LOCAL__ALLOWED_MOUNT_ROOTS=${LANGBOT_BOX_ROOT:-${PWD}/data/box}
     ports:
       - 5300:5300  # For web ui and webhook callback
       - 2280-2285:2280-2285  # For platform reverse connection

docs/agent-runner-pluginization/AGENT_CONTEXT_PROTOCOL.md

@@ -1,149 +0,0 @@
-# Agent-owned Context 协议设计
-
-本文档描述插件化 AgentRunner 场景下的上下文边界**设计理由**。结论先行：LangBot 不应成为最终 agentic context manager；它提供 context substrate，AgentRunner 或其背后的 runtime 自己决定如何管理历史、压缩、召回和 KV cache。
-
-> 涉及的数据结构（`AgentRunContext`、`ContextAccess`、`AgentRunAPIProxy` 等）唯一定义在 [PROTOCOL_V1.md](./PROTOCOL_V1.md)。本文只讲语义和约束，不重抄 schema。实现进度见 [PROGRESS.md](./PROGRESS.md)。
-
-## 1. 设计原则
-
-### 1.1 Agent 拥有上下文策略
-
-不同 runner 背后的 runtime 差异很大：
-
-- 官方 local-agent 可能依赖 LangBot 的模型、工具、知识库和存储。
-- Claude Code SDK / Codex 类 runtime 有自己的 session、transcript、tool loop 和上下文压缩。
-- Pi Agent SDK 或外部 agent 平台可能只需要当前事件和一个外部 conversation key。
-
-因此 LangBot 不应强行决定最终传给模型的历史窗口。Host 只提供：当前事件的完整结构化信息、稳定身份和会话引用、可授权读取的 history / event / artifact / state API、可投影给外部 harness 的 scoped context / MCP / skill / resource refs、payload hard cap 和权限 guardrail。
-
-### 1.2 Host 不定义通用历史窗口
-
-历史窗口策略不是 AgentRunner 协议或 Query entry adapter 的核心概念。Host 只提供 history pull API、cursor、hard cap 和权限边界；runner 自己决定是否读取、读取多少、如何截断和压缩。
-
-正确的问题不是"LangBot 每轮裁几轮历史给 agent"，而是：
-
-- 这类 runner 是否自管 context？
-- 事件到来时 host 应 inline 哪些最小信息？
-- agent 需要更多上下文时通过什么 API 拉取？
-- host 如何保证安全、可审计和可分页？
-
-### 1.3 Host 保存事实源，Agent 管理 working context
-
-三类数据要分开：
-
-- `EventLog`: Host 保存原始事件、工具调用、投递结果、错误和系统事件。
-- `Transcript`: Host 从 EventLog 投影出的对话视图，用于 UI、审计和按需历史读取。
-- `Working context`: Agent 本轮实际送进模型或 runtime 的上下文，由 AgentRunner 决定。
-
-LangBot 不提供 host-side inline history window。简单 runner 如果需要历史窗口，应在 runner 内部通过 Host history API 拉取并裁剪。
-
-## 2. Event 到来时传什么
-
-默认 `AgentRunContext`（PROTOCOL_V1 §5.2）应尽量小且稳定。默认规则：
-
-- Host MUST NOT inline full history by default.
-- Host SHOULD inline only current event / input and context handles.
-- Runner owns working-context assembly.
-- Runner MAY use Host history / event / artifact / state / storage API when authorized.
-- Official runners MUST consume Host infrastructure through the same public API as third-party runners.
-
-### 2.1 必须 inline 的内容
-
-当前 event 的类型/id/时间/source；当前输入文本和结构化内容；附件/文件/图片的 metadata 和 artifact ref；actor / subject / conversation / thread / bot / workspace；delivery 能力；已授权资源列表；context cursors 和可用 API 能力；Agent/runner config。这些是 agent 决定下一步所需的最低信息。
-
-### 2.2 默认不 inline 的内容
-
-完整历史消息、大文件全文、大工具结果、全量知识库内容、平台原始 payload 大对象、每轮重新生成的大段 summary。这些会破坏跨进程序列化成本、泄露范围、KV cache 稳定性，也会迫使 host 替 agent 做 context 策略。
-
-### 2.3 不提供 Host Inline History Window
-
-`AgentRunContext` 不包含 `bootstrap` 字段。Host 不下发历史窗口，也不通过 Pipeline 配置决定窗口大小。runner 若需要类似 `recent_tail` 的策略，应在自己的 manifest/config schema 中声明参数，并在 runner 内部通过 history API 读取、裁剪和压缩。Host 只负责权限、分页、hard cap 和事实源。
-
-## 3. ContextAccess 的作用
-
-`ContextAccess`（PROTOCOL_V1 §5.8）是 host 交给 agent 的上下文读取入口描述，告诉 agent：当前事件位于哪条 conversation / thread、若需要更多历史从哪个 cursor 开始拉、host inline 了什么没 inline 什么、当前 run 有哪些 context API 权限。
-
-## 4. Agent 如何获取更多上下文
-
-所有 API 都走 `AgentRunAPIProxy`（PROTOCOL_V1 §8），由 host 用 `run_id` 校验。
-
-### 4.1 History
-
-```python
-await api.history.page(conversation_id=ctx.context.conversation_id,
-                       before_cursor=ctx.context.latest_cursor,
-                       limit=50, direction="backward", include_artifacts=False)
-```
-
-返回：
-
-```python
-class HistoryPage(BaseModel):
-    items: list[TranscriptItem]
-    next_cursor: str | None
-    prev_cursor: str | None
-    has_more: bool
-```
-
-约束：`limit` 有 host hard cap；默认只能读当前 conversation / thread；跨会话读取需 manifest permission + binding policy；返回 artifact ref，不默认返回大文件内容。
-
-### 4.2 Search
-
-```python
-await api.history.search(query="用户之前提到的数据库连接信息",
-                         filters={"conversation_id": ..., "event_types": ["message.received"]},
-                         top_k=10)
-```
-
-Search 可先用数据库全文索引，后续接 embedding recall。它是 host 检索能力，不等于 agent 的长期记忆策略。
-
-### 4.3 Event / Artifact / State
-
-- Event API（`events.get` / `events.page`）用于读取非消息事件、工具事件、系统事件。Agent 不应把所有事件都当成 user/assistant message。
-- Artifact API（`artifacts.metadata` / `read_range` / `open_stream`）必须校验 artifact 所属 conversation / run / binding，校验 MIME / 大小 / 过期 / 权限，大文件按 range/stream 读取，工具大结果也应 artifact 化。
-- State API（`state.get` / `set`）是可选寄宿能力。自管 runtime 可以完全不用；依附 LangBot 的官方 runner 可以使用，例如 `external.session_id`、`summary.checkpoint`。
-
-### 4.4 大文件与工具协作
-
-大文件、多模态输入和工具产物不要内联进 prompt 或 tool result：message/content 里只放小文本和必要摘要；大文件、图片、音频、长工具输出返回 artifact ref（`artifact_id`、`mime_type`、`size`、`digest`、`summary`、`expires_at`、`permissions`）。工具之间传递大结果时传 artifact ref，不传完整 blob。Host 校验 artifact 是否属于当前 run / scope，默认不允许插件直接读任意本地路径；临时文件应有 TTL 和清理机制。
-
-### 4.5 External harness context projection
-
-Claude Code、Codex、Kimi Code 这类 runtime 通常已有自己的 session、工具 loop、MCP 加载、上下文压缩和工作目录。LangBot 不应把它们改造成"host prompt assembler"，而应提供可审计的事件和资源投影。推荐 projection 形态：
-
-- `agent-context.json`：结构化 JSON，包含 `run_id`、`event`、`actor`、`subject`、`input`、`delivery`、`resources`、`context`、`state`、`runtime`。
-- `LANGBOT_CONTEXT.md`：人类可读摘要。
-- `resources`：只包含本次 run 授权后的句柄，不暴露 Host 内部私有对象。
-- `skills`：已授权 skill 投影为目标 harness 可读目录（如 Claude Code 的 `.claude/skills/<name>/SKILL.md`）。
-- `MCP config`：scoped MCP 配置，runner adapter 转成目标 harness 的配置文件或 CLI 参数。
-- `state pointers`：外部 session id、working directory、checkpoint 等小型 JSON 状态通过 Host state API 保存。
-
-当前 Claude Code runner 使用 schema `langbot.agent_runner.external_harness_context.v1`（现状见 OFFICIAL_RUNNER_PLUGINS §8）。这类 projection 是"把 LangBot 事实源和授权资源交给 harness"，不是"由 LangBot 决定最终模型上下文"。
-
-## 5. Runner manifest 中的上下文声明
-
-`AgentRunnerContextPolicy`（PROTOCOL_V1 §4.5）声明 runner 的上下文能力：`supports_history_pull` / `supports_history_search` / `supports_artifact_pull` / `owns_compaction` / `wants_static_context_refs`。它表示 Host 只给当前事件和 context handles；runner 自己决定是否拉取历史、是否搜索、何时摘要、如何构造最终 prompt。
-
-## 6. KV cache 友好的上下文管理
-
-支持 Claude Code SDK、Codex、Pi Agent SDK 等 runtime 时，必须避免每轮由 LangBot 重组大块 prompt：
-
-- 稳定 session key：`workspace/bot/binding/runner/conversation/thread`。
-- 静态内容使用 `ref + version/hash`（`ctx.runtime.static_refs`）：system prompt、resource manifest、tool schema、platform policy。
-- 每轮只传 delta：当前 event、artifact refs、少量 runtime metadata。
-- 历史 append-only：不要每轮改写同一段 history 文本。
-- Summary checkpoint 稳定：只有压缩发生时产生新 checkpoint。
-- 大文件和工具结果 artifact 化。
-- Tool/context API schema 稳定，数据通过 API 拉取而非塞入 prompt。
-- 对自管 runtime，优先让它复用自身 session/cache，而不是强制 LangBot 每轮重放 transcript。
-- LiteLLM 接入后，模型窗口元信息应作为 resource/runtime metadata 暴露给 runner，由 runner 决定预算和压缩策略。
-
-## 7. Host guardrail
-
-Agent 自管 context 不代表无限制访问。LangBot 仍必须控制：每次 run 的 active `run_id`、runner identity、当前 binding 的 resource policy、conversation / actor / subject scope、page size / artifact read size / API rate limit、跨会话读取权限、数据脱敏和敏感变量过滤、审计日志。Host 不负责"最佳上下文策略"，但负责"不越权、不爆内存、不不可审计"。
-
-## 8. 官方 runner 与业务编排边界
-
-官方 runner 插件可以把状态寄宿在 LangBot，但必须和第三方 runner 一样通过公开 Host API 消费。LangBot core 不内置官方 agent 的业务流程（prompt 组装、tool loop、RAG 编排、summary/compaction、"local-agent 专用"状态字段）。
-
-官方 local-agent 应作为"依附 LangBot 基础设施的复杂 runner 参考实现"：transcript/history 通过 `api.history` 读取，summary/checkpoint/外部 session id/用户偏好通过 `api.state` 或 `api.storage` 保存，图片/文件/工具大结果通过 `api.artifacts` 读取，模型/工具/知识库通过 `api.models` / `api.tools` / `api.knowledge` 调用。这样 LangBot 保持为通用 agent host，不变成内置 agent 框架。具体迁移要求见 [OFFICIAL_RUNNER_PLUGINS.md](./OFFICIAL_RUNNER_PLUGINS.md)。

docs/agent-runner-pluginization/EVENT_BASED_AGENT.md

@@ -1,97 +0,0 @@
-# Event Based Agent 预留设计
-
-> **future design note**，不是当前分支实现范围。EventGateway、EventRouter、Event subscription/notification 由其他分支实现；本分支只预留 event-first 入口和 envelope/binding models。实现进度见 [PROGRESS.md](./PROGRESS.md)。
->
-> 数据结构唯一定义在 [PROTOCOL_V1.md](./PROTOCOL_V1.md)（runner 可见）与 [HOST_SDK_INFRASTRUCTURE.md](./HOST_SDK_INFRASTRUCTURE.md)（Host 内部模型）；本文只讲 EBA 语义，不重抄 schema。
-
-本文描述未来 EBA 接入时，事件如何进入 LangBot、如何触发 AgentRunner，以及如何复用插件化 agent 基础设施。本阶段不实现完整 EventBus / EventRouter / Platform API，目标是把协议边界设计对，避免当前消息入口继续绑死 Pipeline 和用户文本消息。
-
-## 1. 设计目标
-
-- 消息、撤回、入群、好友申请、定时任务、API 调用都能抽象为 host event。
-- EventRouter 可以根据 event type、bot、workspace、conversation、actor、subject 解析 `AgentBinding`。
-- AgentRunner 通过同一套 orchestrator 被调用。
-- 非消息事件不伪造成用户文本消息。
-- 平台动作执行通过显式 capability / permission / result type 预留，不混入普通文本回复。
-
-## 2. 事件不是消息
-
-`message.received` 只是事件的一种。协议不应假设：一定有用户文本、一定有 conversation history、一定要返回一条聊天消息、actor 一定等于 sender、subject 一定等于当前消息。
-
-| event_type | actor | subject | input |
-| --- | --- | --- | --- |
-| `message.received` | 发消息的人 | 当前消息 | 文本、图片、文件等 |
-| `message.recalled` | 撤回操作者，未知时为系统 | 被撤回消息 | 通常为空 |
-| `group.member_joined` | 新成员或邀请人 | 群/成员关系 | 通常为空 |
-| `friend.request_received` | 申请人 | 好友申请 | 验证消息或申请理由 |
-| `schedule.triggered` | 系统 | 定时任务 | 任务 payload |
-| `api.invoked` | API caller | API request | request payload |
-
-## 3. 稳定事件名
-
-先保留的稳定事件名（作为插件协议的一部分保持稳定）：
-
-- `message.received`
-- `message.recalled`
-- `group.member_joined`
-- `friend.request_received`
-
-平台原始事件名只能进入 `ctx.event.source_event_type` / `raw_ref`，不能成为 `ctx.event.event_type` 的公共契约。
-
-## 4. Event Envelope 与 Binding
-
-- 入口事件用 `AgentEventEnvelope`（HOST_SDK §4.1）承载；顶层字段使用 LangBot 稳定协议名，平台原始事件名和原始 payload 放 `metadata` / `raw_ref`。
-- 触发关系用 `AgentBinding`（HOST_SDK §4.2）表达。EBA 阶段 binding 通过 `event_types`、`scope`、`filters` 决定哪些事件触发当前 bot / channel 绑定的 Agent。
-
-目标产品语义：一个 bot / IM channel 在同一时间只绑定一个负责 agentic
-处理的 Agent；一个 Agent 可以被多个 bot / channel 复用。因此 EBA 主线按
-single-agent dispatch 设计，不做默认 fan-out。
-
-Binding scope 示例：workspace 全局、bot 级、platform channel 级、conversation / group / thread 级、user / actor 级。旧 Pipeline 可迁移为 `message.received` 的临时 binding source，但目标持久配置应是 Agent，不是 Pipeline。
-
-Event Source 可包括：`platform_adapter`（飞书、QQ、微信、Telegram 等）、`webui`、`http_api`、`scheduler`、`system`。EventRouter 不应写死平台 adapter 的类名。
-
-## 5. EventRouter 调用链
-
-```text
-Platform Adapter / WebUI / API
-  -> Event Gateway normalize payload
-  -> EventLog append raw event
-  -> EventRouter resolve one effective AgentBinding
-  -> AgentRunOrchestrator.run(event, binding)
-  -> AgentRunContextBuilder.build(event, binding)
-  -> PluginRuntimeConnector.run_agent()
-  -> AgentRunResult stream
-  -> DeliveryController render / platform action
-```
-
-约束：必须复用现有 orchestrator，不能为 EBA 单独实现另一套 plugin runner 调用协议；非消息事件不能绕过 resource authorization；delivery 和 platform action 走统一权限模型；外部 harness runner 也通过同一套 envelope/binding/context/result 协议接入，不为 Claude Code / Codex / Kimi 单独发明队列协议。
-
-若未来产品需要 observer agent、多个 agent 并行处理同一事件、或多 runner
-裁决，应另行设计 fan-out 合并、delivery 冲突、state 写入冲突、platform
-action 审批和 audit 语义。当前 EBA 预留不隐含这些能力。
-
-## 6. 平台动作执行
-
-EBA 后 `action.requested`（PROTOCOL_V1 §7.2，当前仅 telemetry 不执行）将用于请求 host 执行平台动作：
-
-```json
-{ "type": "action.requested",
-  "data": { "action": "friend.request.accept",
-            "target": {"platform": "wechat", "request_id": "..."},
-            "reason": "policy matched" } }
-```
-
-Host 必须校验：runner manifest 是否声明 `platform_api` capability、binding 是否授权该 action、actor / bot / workspace 是否允许、是否需要人工审批。EBA 还可能预留 `delivery.requested`（请求投递到某 surface）。
-
-Delivery 方面，event 不一定回复到当前聊天窗口：消息事件通常带 reply target；系统事件可能没有默认 reply target，需要 runner 返回 `action.requested` 或由 binding 的 delivery policy 决定投递位置（`DeliveryContext` 见 PROTOCOL_V1 §5.7）。
-
-## 7. 与 Context 协议的关系
-
-EBA 事件进入 AgentRunner 时仍遵循 [AGENT_CONTEXT_PROTOCOL.md](./AGENT_CONTEXT_PROTOCOL.md)：inline 当前事件、大 payload 用 raw/artifact ref、不默认 inline 完整 history、agent 按需通过 API 拉取、Host 保留 EventLog 和权限 guardrail。非消息事件可以被投影进 Transcript，但不能强制伪装为 user message；AgentRunner 根据 event type 自己决定是否纳入模型上下文。
-
-## 8. 未来 EBA 完整落地需要
-
-EventGateway 完整实现、EventRouter 与 BindingResolver 集成、`AgentBinding` 持久模型和 UI、`DeliveryContext` 完整实现、platform action permission model 和执行器、真实平台事件接入。
-
-落地顺序：① 把当前 Pipeline 消息入口适配成 `message.received` event（已完成）→ ② 增加 `AgentBinding` 抽象，先由 current config 生成（已完成）→ ③ context builder 改为从 event + binding 构造（已完成）→ ④ 引入 EventLog / Transcript（已完成）→ ⑤ 增加非消息事件的协议测试，不接真实平台 → ⑥ 接入真实 EventRouter 和 platform action。

docs/agent-runner-pluginization/HOST_SDK_INFRASTRUCTURE.md

@@ -1,240 +0,0 @@
-# LangBot Host 与 SDK 基础设施设计
-
-本文档描述 LangBot 作为 agent host 的内部能力与分层架构，以及 Host 内部模型。
-
-- SDK ↔ Host 的协议数据结构（`AgentRunContext`、`AgentRunnerManifest`、`AgentRunResult`、`AgentRunAPIProxy` 等）的**唯一定义在** [PROTOCOL_V1.md](./PROTOCOL_V1.md)；本文只引用，不重抄。
-- 实现进度见 [PROGRESS.md](./PROGRESS.md)。
-- 本文定义的 Host 内部模型（`AgentEventEnvelope`、`AgentBinding`、`AgentRunnerDescriptor`）不属于 SDK 协议字段。
-
-## 1. 目标
-
-LangBot 要转为 agent host，而不是内置 runner 容器：
-
-- 接收 IM、WebUI、API 和未来 EventRouter 产生的事件。
-- 根据事件、bot、workspace、scope 解析应该调用的 Agent / agent binding。
-- 发现、校验和调用插件提供的 AgentRunner。
-- 为每次 run 提供受限资源、状态、存储、上下文引用和生命周期控制。
-- 接收 AgentRunner 返回的事件流，投递到 IM、WebUI 或其他 output surface。
-
-## 2. 非目标
-
-- 不把 Pipeline 当作长期架构中心。
-- 不要求所有 AgentRunner 依赖 LangBot 的上下文管理。
-- 不要求官方 local-agent 的旧行为反向塑造 host 协议。
-- 不在 host 中实现通用 agentic prompt assembler。
-- 不强制 runner 使用 LangBot state / storage；只提供可选、受控的寄宿能力。
-- 不实现 EventGateway：它是 future integration point，由外部 event branch 提供。本分支只定义 host-side envelope/binding models 和 `run(event, binding)` 入口。
-
-## 3. 分层架构
-
-```text
-IM / WebUI / API / EventRouter (future)
-        |
-        v
-Event Gateway (future - external event branch)
-        |
-        v
-AgentBindingResolver
-        |
-        v
-AgentRunOrchestrator
-        |-- AgentRunnerRegistry
-        |-- AgentResourceBuilder
-        |-- AgentContextBuilder
-        |-- AgentRunSessionRegistry
-        |-- PersistentStateStore / EventLogStore / TranscriptStore / ArtifactStore
-        v
-Plugin Runtime / AgentRunner
-        |
-        v
-AgentRunResult stream
-        |
-        v
-Delivery / Renderer / Platform API
-```
-
-目标产品模型中，Agent 替代 Pipeline 承载 agent 配置：bot / IM
-channel 绑定一个 Agent，一个 Agent 可以被多个 bot / channel 复用。
-当前 Pipeline 只应接入在 Query entry adapter 位置：它可以继续产生
-`message.received` 并投影出临时 `AgentBinding`，但不应再拥有 runner
-选择、上下文裁剪和业务 agent 执行的核心语义。EventGateway 由外部 event
-branch 实现。
-
-## 4. LangBot 侧能力
-
-### 4.1 Event Gateway（Future Integration Point）
-
-> EventGateway 由外部 event branch 实现，不在本分支范围。本分支只预留 event-first 入口和 envelope/binding models。
-
-Event Gateway 将把入口统一成 host event（IM 平台消息、WebUI debug chat、API 触发、后续非消息事件），输出稳定的 `AgentEventEnvelope`（Host 内部模型）：
-
-```python
-class AgentEventEnvelope(BaseModel):
-    event_id: str
-    event_type: str
-    event_time: int | None
-    source: str
-    bot_id: str | None
-    workspace_id: str | None
-    conversation_id: str | None
-    thread_id: str | None
-    actor: ActorRef | None
-    subject: SubjectRef | None
-    input: AgentInput          # 见 PROTOCOL_V1 §5.6
-    delivery: DeliveryContext  # 见 PROTOCOL_V1 §5.7
-    raw_ref: RawEventRef | None
-    metadata: dict[str, Any] = {}
-```
-
-`AgentEventEnvelope` 是 Host 内部入口模型；投影给 runner 的是 `ctx.event`（PROTOCOL_V1 §5.4）。原始平台 payload 存为 raw event 或 artifact ref，不扩散到 runner 协议顶层。
-
-**当前 adapter source**：`QueryEntryAdapter.query_to_event(query)` 从 Query 生成 `AgentEventEnvelope`。
-
-### 4.2 AgentBinding
-
-`AgentBinding` 是"什么事件调用哪个 AgentRunner、带什么 Agent 配置"的
-Host 内部运行投影（不暴露给 SDK）。产品层的持久对象应是 Agent：
-Agent 携带 runner id、runner config、resource/state/delivery policy，并可被
-多个 bot / channel 复用。`AgentBinding` 是 EventRouter / 当前
-QueryEntryAdapter 在一次运行前解析出的有效绑定。
-
-```python
-class AgentBinding(BaseModel):
-    binding_id: str
-    enabled: bool
-    scope: BindingScope
-    event_types: list[str]
-    filters: list[EventFilter] = []   # EBA 阶段使用，见 EVENT_BASED_AGENT
-    runner_id: str
-    runner_config: dict[str, Any]
-    resource_policy: ResourcePolicy
-    state_policy: StatePolicy
-    delivery_policy: DeliveryPolicy
-```
-
-一个 bot / IM channel 在同一时间只应解析出一个负责 agentic 处理的
-AgentBinding。若未来需要 observer / fan-out / 多 agent 裁决，必须另行定义
-delivery、state、platform action 和 result 合并语义；当前 v1/EBA 主线不隐式支持。
-
-**当前 adapter source**：`QueryEntryAdapter.config_to_agent_config(query, runner_id)`
-先把 current config 投影为迁移期 `AgentConfig`，再由
-`AgentBindingResolver.resolve_one(event, [agent_config])` 解析出唯一
-`AgentBinding`。Pipeline 当前只是迁移期 Agent config source（AI runner config
-→ runner_config、extension preference → resource_policy、output settings →
-delivery_policy），但新设计不再把这些字段命名为 Pipeline 专属概念。
-
-### 4.3 AgentRunnerRegistry
-
-Registry 收集 runner descriptor（来自插件 runtime、开发期本地插件）：
-
-```python
-class AgentRunnerDescriptor(BaseModel):
-    id: str
-    source: Literal["plugin"]
-    label: I18nObject
-    description: I18nObject | None = None
-    protocol_version: str = "1"
-    capabilities: AgentRunnerCapabilities    # 见 PROTOCOL_V1 §4.3
-    permissions: AgentRunnerPermissions      # 见 PROTOCOL_V1 §4.4
-    config_schema: list[DynamicFormItemSchema]
-    plugin: PluginRef | None = None
-```
-
-职责：调用 `plugin_connector.list_agent_runners()` 拉取 runner、校验 manifest（`kind == AgentRunner`、`metadata.name/label` 存在、`protocol_version` 兼容、`spec.*` 类型正确）、输出 descriptor、缓存 discovery 结果并提供 `refresh()`。单个插件 manifest 失败只记 warning，不影响其它 runner。`plugin:author/name/runner` 是稳定 id 格式；多个 binding 指向同一 runner id 时**不创建多个插件实例**。
-
-Host 内置 runner / adapter 不能作为 `AgentRunnerDescriptor.source` 绕过插件
-runtime、`run_id`、`ctx.resources` 和 `AgentRunAPIProxy` 权限链。若需要
-开发期调试 adapter，应放在 Host 内部测试入口，不进入可选 runner 列表。
-
-刷新触发点：插件安装/卸载/升级/重启后；Pipeline metadata 请求时发现缓存为空；可选 TTL（优先保证正确性）。
-
-### 4.4 AgentRunOrchestrator
-
-Orchestrator 是唯一运行入口：
-
-```text
-run(event, binding)
-  -> resolve runner descriptor
-  -> build resources
-  -> build context
-  -> register run session
-  -> call plugin runtime
-  -> normalize result stream
-  -> update state
-  -> unregister run session
-```
-
-它负责：`run_id` 生成和生命周期、timeout/deadline/cancellation、插件异常隔离、result schema 校验和大小限制、`state.updated` 处理、delivery backpressure 和 telemetry。
-
-`run_from_query()` 保留为 Query entry adapter 入口，但内部转换成 event + binding 后走统一 `run()`。约束：`ChatMessageHandler` 不解析 `plugin:*`、不实例化 wrapper、不知道 runner 组件细节；`PipelineService` 从 registry 读取 metadata，不直接访问插件 runtime；插件是无状态执行单元，跨请求持久化状态必须走授权 storage / 外部服务，不能隐式存在 per-pipeline 插件对象里。
-
-### 4.5 Resource Authorization（三层裁剪）
-
-LangBot 在每次 run 前生成 `ctx.resources`（PROTOCOL_V1 §6），来自三层约束：
-
-1. runner manifest 声明的 `permissions`（最大能力）。
-2. binding / resource policy 允许的资源范围。
-3. 当前 event / actor / bot / workspace 的实际权限。
-
-这次裁剪结果必须冻结为 run-scoped authorization snapshot，并由
-`AgentRunSessionRegistry` 按 `run_id` 保存。`ctx.resources` 是投影给 runner
-看的同一份授权结果；运行期每个 proxy action 只依据该 snapshot 校验 active
-run session、caller plugin identity、resource id、scope、payload size、rate
-limit 和 deadline。Handler 不应重新执行三层裁剪，否则 build-time 与 runtime
-授权逻辑会漂移。
-
-SDK 侧本地校验只用于开发体验，host 侧 run authorization snapshot 才是安全边界。
-
-资源裁剪应通用，不写死 local-agent。selector 与资源的映射示例：`model-fallback-selector` → primary/fallback LLM、`llm-model-selector` → LLM、`rerank-model-selector` → rerank 模型、`knowledge-base-multi-selector` → 知识库；新增 selector 时在 resource builder 中统一扩展。
-
-执行/文件/skill/MCP 等能力的接入方向：先由 Host 封装成普通 tool，再通过 `ctx.resources.tools` 进入 runner；runner 不应识别或硬编码执行环境 provider。
-
-### 4.6 State / Storage
-
-LangBot 可提供 host-owned state 让 runner 寄宿状态（conversation / actor / subject / runner / binding / workspace state），但**不是强制**。Host 只需提供：授权开关、scope key、get/set/list/delete API（见 PROTOCOL_V1 §8）、持久化 backend、审计和清理策略。外部 agent runtime 可维护自己的 session 和 memory。进程内 state store 只能作为过渡实现，不能作为正式生产语义。
-
-### 4.7 EventLog / Transcript / Artifact（事实源）
-
-- `EventLog`: durable append-only，保存原始事件、系统事件、工具调用、投递结果、错误。
-- `Transcript`: 从 EventLog 投影出的对话视图，用于 UI、审计和按需历史读取。
-- `ArtifactStore`: 保存大文件、多模态输入、工具大结果、平台附件。
-
-三类数据与 working context 的边界、读取约束见 [AGENT_CONTEXT_PROTOCOL.md](./AGENT_CONTEXT_PROTOCOL.md)。AgentRunner 可读取这些能力，但不被迫使用 LangBot 作为唯一记忆系统。
-
-### 4.8 Prompt / Instruction Package（占位）
-
-当前 Query 入口不把 preprocessing 后的有效 prompt 放进 adapter metadata。目标形态是 Host 保存或生成一个 run-scoped instruction package，runner 通过 Host API 拉取：
-
-- Host 记录静态绑定 prompt、host hook / user plugin 产生的 instruction fragment、来源和审计信息。
-- `ctx.context.available_apis` 增加 `prompt_get` 能力位表示拉取是否可用。
-- Runner 拉取后仍由自己决定如何与 history、RAG、tool 结果、memory 和当前输入组装最终 prompt。
-- Host 不实现通用 agentic prompt assembler，也不把 Query entry adapter prompt 作为长期业务输入契约。
-
-### 4.9 External harness resource projection
-
-Claude Code、Codex、Kimi Code 等外部 harness runner 可能不直接调用 LangBot 的 model/tool loop，而是把 LangBot 事件和授权资源投影到自己的 harness 执行。Host 侧仍保持统一边界：Host 负责构造 event-first context、资源授权、state/storage、EventLog/Transcript/ArtifactStore 和审计；Host 或 binding policy 决定哪些 MCP server、skill、artifact、history/state 句柄可投影给 runner；runner plugin 把 scoped projection 转成目标 harness 可消费形式；外部 harness 负责自己的 native session、tool loop、压缩、权限模式和 resume。
-
-投影的具体形态（context 文件、skill 目录、MCP config、state pointers）见 AGENT_CONTEXT_PROTOCOL §4.5；Claude Code / Codex 当前实现见 OFFICIAL_RUNNER_PLUGINS §7。发布级隔离要求见 SECURITY_HARDENING。
-
-## 5. SDK 侧协议
-
-SDK 组件入口如下；所有数据结构定义见 PROTOCOL_V1。
-
-```python
-class AgentRunner(BaseComponent):
-    __kind__ = "AgentRunner"
-
-    @classmethod
-    def get_capabilities(cls) -> AgentRunnerCapabilities: ...   # PROTOCOL_V1 §4.3
-
-    @classmethod
-    def get_config_schema(cls) -> list[dict]: ...
-
-    async def run(self, ctx: AgentRunContext) -> AsyncGenerator[AgentRunResult, None]: ...
-    # ctx: PROTOCOL_V1 §5.2 ; AgentRunResult: PROTOCOL_V1 §7
-```
-
-- Manifest / capabilities / permissions / context policy：PROTOCOL_V1 §4。
-- `AgentRunContext`：PROTOCOL_V1 §5.2。`messages` / `bootstrap` 不是协议字段。
-- `AgentRunResult`：PROTOCOL_V1 §7。
-- `AgentRunAPIProxy`：PROTOCOL_V1 §8，是 runner 访问 host 能力的唯一入口，所有请求带 `run_id`。

docs/agent-runner-pluginization/OFFICIAL_RUNNER_PLUGINS.md

@@ -1,147 +0,0 @@
-# 官方 AgentRunner 插件迁移计划
-
-本文档描述内置 `RequestRunner` 迁出 LangBot 后，官方 runner 插件如何组织、迁移和验收。它是 [HOST_SDK_INFRASTRUCTURE.md](./HOST_SDK_INFRASTRUCTURE.md) 和 [AGENT_CONTEXT_PROTOCOL.md](./AGENT_CONTEXT_PROTOCOL.md) 的下游落地计划，不是 LangBot 宿主协议的设计前提。验收状态见 [PROGRESS.md](./PROGRESS.md)，QA 入口见 [PHASE1_QA_ACCEPTANCE_MATRIX.md](./PHASE1_QA_ACCEPTANCE_MATRIX.md)。
-
-官方 `local-agent` 可以外移，也可以重写。设计重点不是保留旧内置 runner 的内部结构，而是验证一个依附 LangBot host 基础设施的官方 agent 能否完整工作。同时，LangBot host 协议必须服务 Claude Code SDK、Codex、Pi Agent SDK、外部 Agent 平台等自管 context/runtime 的 runner，不能被官方插件的实现细节绑死。
-
-## 1. 仓库组织
-
-官方 runner 插件与 LangBot 主仓库、SDK 仓库以不同节奏迭代：LangBot 主仓库只维护宿主协议和调度，SDK 仓库维护 AgentRunner 组件和 runtime 协议，官方 runner 插件承载业务 runner 的具体实现和第三方平台适配。
-
-当前推荐"官方插件可独立发布，必要时共享 SDK helper"。开发期采用本地多目录布局：
-
-```text
-langbot-app/
-  langbot-local-agent/                # plugin:langbot/local-agent/default
-    manifest.yaml
-    components/agent_runner/default.{yaml,py}
-  langbot-agent-runner/               # 外部服务 runner 仓库
-    claude-code-agent/  codex-agent/  dify-agent/  n8n-agent/  ...
-```
-
-后续可聚合进 monorepo，也可继续独立发布——这个选择不影响协议设计。重复逻辑优先沉淀到 SDK 或明确的共享 helper 包，不要把宿主私有结构泄漏给插件。旧 `src/langbot/pkg/provider/runners/*` 在官方插件迁移完成前保留作为行为对齐基准，不作为长期运行路径。
-
-## 2. 插件命名和 runner id
-
-| 旧 runner | 官方插件 | runner id |
-| --- | --- | --- |
-| `local-agent` | `langbot/local-agent` | `plugin:langbot/local-agent/default` |
-| `dify-service-api` | `langbot/dify-agent` | `plugin:langbot/dify-agent/default` |
-| `n8n-service-api` | `langbot/n8n-agent` | `plugin:langbot/n8n-agent/default` |
-| `coze-api` | `langbot/coze-agent` | `plugin:langbot/coze-agent/default` |
-| - | `langbot/claude-code-agent` | `plugin:langbot/claude-code-agent/default` |
-| - | `langbot/codex-agent` | `plugin:langbot/codex-agent/default` |
-| `dashscope-app-api` | `langbot/dashscope-agent` | `plugin:langbot/dashscope-agent/default` |
-| `langflow-api` | `langbot/langflow-agent` | `plugin:langbot/langflow-agent/default` |
-| `tbox-app-api` | `langbot/tbox-agent` | `plugin:langbot/tbox-agent/default` |
-
-每个插件可后续提供多个 runner，但迁移目标的默认 runner 统一叫 `default`。
-
-## 3. 迁移批次
-
-- **Batch 1（打通协议）**：`local-agent`（能力最完整基准）、`claude-code-agent` / `codex-agent`（外部 code-agent harness 边界）、`dify-agent`（传统 service API runner）。
-- **Batch 2（外部 workflow）**：`n8n-agent`、`langflow-agent`（webhook/workflow 输入输出、timeout、外部 conversation id）。
-- **Batch 3（平台 Agent API）**：`coze-agent`、`dashscope-agent`、`tbox-agent`（平台特有响应格式、引用资料、文件/图片输入）。
-
-## 4. 每个官方插件的组件要求
-
-每个插件至少包含一个 `AgentRunner` 组件，manifest 示例：
-
-```yaml
-apiVersion: langbot/v1
-kind: AgentRunner
-metadata:
-  name: default
-  label: { en_US: Dify Agent, zh_Hans: Dify Agent }
-  description:
-    en_US: Run a Dify application as a LangBot AgentRunner.
-    zh_Hans: 将 Dify 应用作为 LangBot AgentRunner 运行。
-spec:
-  protocol_version: "1"
-  config: []
-  capabilities:        # 字段语义见 PROTOCOL_V1 §4.3
-    streaming: true
-    event_context: true
-    stateful_session: true
-  permissions:         # 字段语义见 PROTOCOL_V1 §4.4
-    storage: ["plugin"]
-  context:             # 字段语义见 PROTOCOL_V1 §4.5
-    supports_history_pull: true
-    owns_compaction: true
-execution:
-  python: { path: ./main.py, attr: DefaultAgentRunner }
-```
-
-## 5. local-agent 插件方向
-
-`local-agent` 是官方插件中能力最完整的消费者，但不是宿主协议的设计中心。它需要证明：一个主要依附 LangBot host 能力的 agent runner 可以通过公开协议完成模型、工具、知识库、状态、history、artifact、上下文压缩和消息投递。
-
-迁移或重写需覆盖旧内置 runner 的用户可见能力：model primary/fallback 选择、prompt、knowledge-bases、rerank-model、rerank-top-k、function calling、streaming、multimodal input、conversation history、monitoring metadata。
-
-责任边界与 Host API 消费方式见 AGENT_CONTEXT_PROTOCOL §8。关键约束：
-
-- 从 `ctx.config` 读取静态绑定 `prompt`，**不**读取 `ctx.adapter.extra["prompt"]`；不消费 Query entry adapter 生成的历史窗口。
-- 通过 `AgentRunAPIProxy.history` 拉取 transcript，而不是依赖 host 每轮强塞历史窗口。
-- `ctx.input.contents` 保留图片/文件等多模态内容；RAG 只替换/插入文本部分，不丢图片/文件。
-- 不能绕过 `ctx.resources` 调用未授权模型、工具或知识库。
-- manifest 声明自管上下文能力（`context.supports_history_pull/search`、`owns_compaction` 等）。
-
-### 5.1 Native Execution / Skills 后续接入
-
-本阶段不把 sandbox/skills 做成 AgentRunner 协议字段。后续 sandbox/skills 分支合并后，命令执行、文件操作、skill、MCP managed process 应先由 Host 封装成 scoped tools，再通过 `ctx.resources.tools` 暴露给 runner。这让 local-agent 只消费授权后的 Host 基础设施，而不是直接持有宿主机执行能力。
-
-## 6. 外部 runner 插件要求
-
-外部平台 runner 迁移遵循：旧配置字段尽量保持同名便于 migration 复制；输出统一转换为 `AgentRunResult`；外部 API timeout 从 runner config 读取；平台 conversation id 存 plugin storage 或 context runtime state，不依赖 LangBot 内置 conversation uuid 私有结构；流式按平台能力声明，没有流式就只发 `message.completed`。
-
-### 6.1 Code-agent harness runner
-
-Claude Code、Codex、Kimi Code 这类 runner 不一定通过 LangBot 的模型/工具 loop 执行，可以依赖自己的 harness，但仍必须遵守 Host 边界：输入来自 `ctx.event` / `ctx.input`，不依赖 Pipeline 私有 `Query`；授权资源投影为 harness 可读的 context 文件、MCP 配置、skill 目录、环境变量或 CLI 参数（投影形态见 AGENT_CONTEXT_PROTOCOL §4.5）；外部 session id / workspace / checkpoint 写入 Host state 或 plugin storage，插件实例保持无状态；CLI / subprocess runner 必须处理 timeout、取消、空输出、非零退出和 stderr 映射；harness 的 permission mode / allow-deny / MCP 配置只是一层执行约束，Host 仍负责调用前的资源授权、路径策略、secret 过滤和审计（发布级要求见 [SECURITY_HARDENING.md](./SECURITY_HARDENING.md)）。
-
-### 6.2 SDK-owned LangBot MCP bridge
-
-外部 harness 不能直接持有进程内的 `plugin_runtime_handler`，因此不能像 `local-agent` 一样直接调用 `AgentRunAPIProxy`。当前轻量方案是由 SDK 提供一层 per-run MCP bridge：
-
-- `AgentRunner.create_external_mcp_bridge(ctx)` 是 runner 父类入口。
-- Bridge 由 `AgentRunAPIProxy` 和 `AgentRunContext` 构造，生命周期只覆盖当前 run。
-- Bridge 暴露 SDK 中显式注解的 `AgentRunExternalTools`，而不是导出全部 SDK action；MCP tool schema 由注解和 Pydantic args model 生成。
-- stdio MCP proxy 只把外部 harness 的 MCP 调用转发回当前 run 的本地 bridge；run 结束后 bridge 关闭。
-
-第一批工具保持很小：当前事件快照、history page、knowledge retrieve、authorized tool call。新增工具必须先进入 SDK-owned annotated surface，再由 MCP adapter 自动投影。
-
-## 7. Claude Code / Codex runner 当前形态
-
-`claude-code-agent` 与 `codex-agent` 是最小可运行 MVP / dev path，用来证明外部 harness runner 可以接入同一套 AgentRunner 协议。本地 smoke 验收记录见 [PROGRESS.md](./PROGRESS.md) 与 [PHASE1_QA_ACCEPTANCE_MATRIX.md](./PHASE1_QA_ACCEPTANCE_MATRIX.md)。
-
-MVP 含义：已验证 event-first context、resource projection、result stream 和
-基础 resume state 可以跑通；不表示 Docker 生产部署、发布级执行隔离、
-workspace lifecycle、secret projection、团队级 audit 或 runtime sidecar 已完成。
-
-### 7.1 Claude Code runner
-
-- Runner ID：`plugin:langbot/claude-code-agent/default`，执行方式：本地 Claude Code CLI print mode（默认 `claude -p`）。
-- 默认输出 `message.completed` + `run.completed`；默认权限 `permission-mode=plan`、`max-turns=1`、`disallowedTools=AskUserQuestion`。
-- 投影：写入 `agent-context.json`（schema `langbot.agent_runner.external_harness_context.v1`）和 `LANGBOT_CONTEXT.md`；可把 `skills-json` 投影到 `.claude/skills/<name>/SKILL.md`；可把 `mcp-config-json` 写成每次 run 的 MCP config 经 `--mcp-config` / `--strict-mcp-config` 传入；可通过 `enable-langbot-mcp=true` 启用 SDK-owned per-run LangBot MCP bridge。
-- 状态：Claude Code 返回 `session_id` 时通过 `state.updated` 写回 `external.session_id`；工作目录优先用 config 的 `working-directory`，其次用 Host state 的 `external.working_directory`。
-
-### 7.2 Codex runner
-
-- Runner ID：`plugin:langbot/codex-agent/default`，执行方式：本地 Codex CLI，读取 LangBot event context。
-- Codex `thread_id` 写回 host-owned state；支持 SDK-owned per-run LangBot MCP bridge；需要代理的本地环境可通过 config 的 `environment-json` 显式传递非 secret 环境变量。
-
-### 7.3 当前限制
-
-不是发布级安全边界实现；默认只做本地 CLI 调用，不实现完整执行隔离或 workspace 生命周期；不实现 issue-centric 队列、复杂 workflow engine 或长期任务调度；Docker 环境只能访问容器内 CLI 和凭据；Codex 仅验证协议形态，不代表 Codex 发布级能力或 Kimi runner 已完成。runtime 管控面方向见 [RUNTIME_CONTROL_PLANE_V2.md](./RUNTIME_CONTROL_PLANE_V2.md)。
-
-## 8. 发布和安装策略
-
-最终 LangBot 安装/升级时需保证官方 runner 插件可用，可选方案：首次启动检测缺失并提示安装；打包发行版预装；migration 前检查插件存在性。建议顺序：开发阶段用本地路径插件 → 发布前支持 marketplace 安装 → 历史配置 migration 只在官方插件可用时执行 → 迁移期间保留旧内置 runner 文件，直到对应官方插件通过 parity 验收。
-
-## 9. 验收标准
-
-- 每个旧 runner 都有对应官方 AgentRunner 插件，旧配置能无损复制到新 `runner_config[id]`。
-- LangBot 主聊天路径不再通过 `RequestRunner` 执行业务 runner。
-- 官方插件测试覆盖非流式、流式、错误、timeout、配置缺失。
-- `local-agent` 能完成模型 fallback、tool calling、知识库检索、多模态输入、静态绑定 prompt 消费、history API 拉取、rerank。
-- `claude-code-agent` 或同类 code-agent harness runner 能消费 event-first context、投影 scoped resources、保存 external session state，并通过 WebUI Debug Chat smoke。
-- 对外行为与旧内置 local-agent runner 一致；代码结构不需要相同。

docs/agent-runner-pluginization/PHASE1_QA_ACCEPTANCE_MATRIX.md

@@ -1,245 +0,0 @@
-# Agent Runner QA 指南
-
-本文档是 agent-runner 插件化下一轮测试的唯一 QA 入口。它合并并取代旧的 Phase 1 验收矩阵与 2026-05-18 / 2026-05-29 两份本地 QA 报告。
-
-目标不是保留完整历史流水账，而是指导测试 agent 用最小但高价值的路径判断当前分支是否仍然健康。
-
-## 1. 测试边界
-
-当前主线验证的是 AgentRunner Protocol v1：
-
-```text
-event -> binding -> runner.run(ctx) -> result stream
-```
-
-本指南验证：
-
-- Host 能通过当前 Query entry adapter 进入 event-first `run(event, binding)` 主链路。
-- Runner 来自插件 registry，而不是旧内置 runner 分支。
-- `local-agent` 能消费 Host 模型、工具、知识库、history、state、artifact 等基础设施。
-- 外部 harness runner（Claude Code / Codex）能消费 event-first context，并把 session / working directory 等指针写回 host-owned state。
-- 错误、权限裁剪、无输出、timeout 等路径不会破坏主聊天流程。
-
-本指南不验证：
-
-- Runtime Control Plane v2。
-- EventGateway / EventRouter 完整落地。
-- 发布级 path isolation、secret filtering、MCP allowlist、资源配额和 workspace cleanup。
-- 所有外部服务 runner 的真实凭据联调。
-
-这些属于后续能力或发布门槛，分别见 [RUNTIME_CONTROL_PLANE_V2.md](./RUNTIME_CONTROL_PLANE_V2.md) 与 [SECURITY_HARDENING.md](./SECURITY_HARDENING.md)。
-
-## 2. 状态定义
-
-测试报告只使用以下状态：
-
-| 状态 | 含义 |
-| --- | --- |
-| PASS | 按步骤执行，用户可见行为和日志证据都满足通过条件。 |
-| FAIL | 环境可用，但行为不满足通过条件。 |
-| BLOCKED | 凭据、CLI、外部服务、测试数据或本地配置缺失导致无法执行。必须写清阻塞原因。 |
-| N/A | 当前 runner 或平台明确不支持该能力。必须引用 manifest、文档或配置说明。 |
-
-不能使用“看起来正常”“大概通过”“基本没问题”等模糊状态。
-
-## 3. 执行顺序
-
-推荐按以下顺序执行，前一层失败时不要继续扩大测试面：
-
-1. Host / SDK / runner 单测。
-2. WebUI 登录与 Pipeline Debug Chat 基础 smoke。
-3. `local-agent` 高价值场景。
-4. Claude Code / Codex 外部 harness smoke。
-5. 权限和错误路径补充检查。
-6. 汇总 PASS / FAIL / BLOCKED，并给出下一步建议。
-
-用户可见流程必须通过 WebUI 或真实消息平台验证。API / curl 只能作为诊断证据，不能单独让 UI case PASS。
-
-## 4. 必跑基线
-
-### 4.1 单测基线
-
-在 LangBot 仓库运行：
-
-```bash
-uv run --frozen pytest tests/unit_tests/agent
-```
-
-如果本次改动只触及默认配置或 API service，也至少补跑相关目标测试，例如：
-
-```bash
-uv run pytest tests/unit_tests/api/test_pipeline_service_defaults.py
-```
-
-通过条件：
-
-- agent 单测全 PASS，或失败项已确认与本次 agent-runner 路径无关。
-- 若失败来自 `context_builder`、`orchestrator`、`session_registry`、`resource_builder`、`plugin/handler.py` 的 run action 权限路径，不应进入 UI smoke。
-
-### 4.2 环境基线
-
-用 `langbot-skills` 做环境检查：
-
-```bash
-cd "$LANGBOT_SKILLS_REPO"
-bin/lbs env doctor
-bin/lbs case list
-```
-
-`LANGBOT_SKILLS_REPO` 指向当前工作区里的 `langbot-skills` 仓库。优先使用已有 case，而不是临时发明测试路径。
-
-推荐首批 case：
-
-- `webui-login-state`
-- `pipeline-debug-chat`
-- `local-agent-basic-debug-chat`
-- `local-agent-rag-debug-chat`（改动涉及 RAG / knowledge）
-- `local-agent-plugin-tool-call-debug-chat`（改动涉及 tool / resource policy）
-
-## 5. WebUI 主链路 Smoke
-
-### 5.1 Runner registry
-
-步骤：
-
-1. 打开 WebUI Pipeline 配置页。
-2. 查看 AI runner 下拉列表。
-3. 选择 `plugin:langbot/local-agent/default`。
-4. 保存并刷新页面。
-
-通过条件：
-
-- runner 选项来自插件 registry。
-- 保存后配置仍为 `ai.runner.id` + `ai.runner_config[id]`。
-- `runner_config` 表示 Agent/runner config，不表示插件实例状态。
-- 插件没有循环重启或 metadata 加载失败。
-
-### 5.2 主聊天路径
-
-步骤：
-
-1. 使用绑定 `plugin:langbot/local-agent/default` 的 Pipeline。
-2. 在 Debug Chat 发送确定性普通文本。
-3. 查看 WebUI 回复和后端日志。
-
-通过条件：
-
-- 用户可见回复正常。
-- 后端日志显示走 `AgentRunOrchestrator` / `RUN_AGENT`。
-- 不走旧内置 local-agent 主执行分支。
-- conversation transcript 写入用户消息和助手消息。
-
-## 6. `local-agent` 高价值测试
-
-只保留最能覆盖架构边界的场景。
-
-| ID | 场景 | 操作 | 通过条件 |
-| --- | --- | --- | --- |
-| LA-01 | 绑定 prompt | 配置 system prompt 后发送文本。 | runner 使用 `ctx.config.prompt`，不读取 `ctx.adapter.extra["prompt"]`；回复体现绑定 prompt。 |
-| LA-02 | history API | 连续两轮对话，第二轮引用第一轮 marker。 | runner 通过 Host history API 或自管上下文读取历史，不依赖 inline history window。 |
-| LA-03 | 流式 / 非流式 | 分别用支持流式和关闭流式的路径发送文本。 | 流式 UI 不重复、不空白；非流式只输出最终消息。 |
-| LA-04 | 工具调用 | 绑定测试工具，发送会触发工具的 prompt。 | `ctx.resources.tools` 只包含授权工具；工具调用 started/completed；最终回复包含工具结果。 |
-| LA-05 | RAG | 绑定测试知识库，发送命中文档的 prompt。 | `ctx.resources.knowledge_bases` 包含所选知识库；runner 通过授权 API 检索；回复使用检索内容。 |
-| LA-06 | 多模态 | 发送图片输入。 | `ctx.input.contents` 保留图片；支持视觉模型时正常处理，不支持时受控失败。 |
-| LA-07 | fallback / 错误 | 模拟 primary 模型失败或 runner 抛错。 | fallback 或 `run.failed` 行为受控；后续请求不受影响。 |
-| LA-08 | 无输出保护 | 测试 runner 完成但不产出消息。 | 不产生空白成功回复；按受控失败或明确缺陷处理。 |
-
-Rerank、remove-think、文件输入等场景只在本次改动直接涉及时补测，不作为每轮必跑项。
-
-## 7. 外部 Harness Runner Smoke
-
-这些测试用于验证 Claude Code / Codex 这类自管 runtime 能走同一条 Host 协议路径。若本机没有 CLI、登录态或代理配置，标记 BLOCKED，不要伪造 PASS。
-
-### 7.1 Claude Code runner
-
-步骤：
-
-1. 确认 `claude` CLI 在 LangBot runtime host 上可执行。
-2. 绑定 `plugin:langbot/claude-code-agent/default`。
-3. 使用保守权限模式和确定性 prompt。
-4. 在 Debug Chat 执行一次真实 smoke。
-5. 检查 context / skill / MCP projection 和 host-owned state。
-
-通过条件：
-
-- WebUI 可见回复包含预期 sentinel。
-- context JSON schema 为 `langbot.agent_runner.external_harness_context.v1` 或当前文档声明的等价 schema。
-- context 包含 event、input、delivery、resources、context、state。
-- 如启用 skills / MCP，投影路径和配置可被 Claude Code 读取。
-- `external.session_id` / `external.working_directory` 写入 host-owned state。
-- CLI missing、nonzero exit、timeout、empty output 都转成受控 `run.failed`。
-
-### 7.2 Codex runner
-
-步骤：
-
-1. 确认 `codex` CLI 在 LangBot runtime host 上可执行。
-2. 绑定 `plugin:langbot/codex-agent/default`。
-3. 如需要代理，使用 Agent/runner config 的 `environment-json` 显式传入。
-4. 在 Debug Chat 执行一次真实 smoke。
-5. 检查 JSONL 事件、last message、host-owned state。
-
-通过条件：
-
-- WebUI 可见回复包含预期 sentinel。
-- Codex JSONL 至少包含 thread/session 起始事件、agent message、turn completed。
-- `external.session_id` / `external.working_directory` 写入 host-owned state。
-- timeout/cancel 不遗留 orphan CLI 子进程。
-- CLI missing、nonzero exit、timeout、empty output 都转成受控 `run.failed`。
-
-### 7.3 API 型外部 runner
-
-Dify、n8n、Coze、DashScope、Langflow、Tbox 等外部服务 runner 不作为每轮必跑项。只有在本次改动触及对应 runner 或凭据已经可用时执行 smoke。
-
-通过条件：
-
-- runner 可选，配置可保存。
-- 请求成功，或外部服务错误被清晰返回。
-- 外部服务凭据缺失时标记 BLOCKED，并记录缺失项。
-
-## 8. 权限与隔离补充
-
-以下优先用单测 / targeted fixture 覆盖，不要求每次通过 UI 人工构造恶意 runner。
-
-| 场景 | 推荐证据 |
-| --- | --- |
-| 未授权模型调用被拒绝 | `plugin/handler.py` run action 权限测试或目标单测。 |
-| 未授权工具调用被拒绝 | `ctx.resources.tools` 与 host action 拒绝日志。 |
-| 未授权知识库检索被拒绝 | `ctx.resources.knowledge_bases` 与 host action 拒绝日志。 |
-| run_id 结束后复用被拒绝 | session registry 注销测试。 |
-| 插件身份不匹配被拒绝 | `caller_plugin_identity` mismatch 测试。 |
-| storage/state scope 越权被拒绝 | state/storage proxy 单测。 |
-
-如果这些单测失败，不能用 WebUI 正常回复替代。
-
-## 9. 证据要求
-
-每轮测试报告至少记录：
-
-- LangBot commit、SDK commit、相关 runner 插件 commit。
-- Pipeline UUID/name、runner id、关键 runner config 摘要。
-- WebUI 截图或 Playwright 操作记录。
-- 后端日志中对应 query id / run id 的关键行。
-- `langbot-skills` case/report 路径。
-- 外部 harness runner 的 context 文件、session id、working directory、CLI 错误摘要。
-- FAIL/BLOCKED 的复现步骤和归属仓库建议。
-
-报告结论必须回答：
-
-- 是否建议继续进入下一阶段测试。
-- 是否存在主聊天路径阻塞。
-- 是否只是凭据 / 外部服务 / 本机 CLI 缺失导致 BLOCKED。
-- 是否需要进入 [SECURITY_HARDENING.md](./SECURITY_HARDENING.md) 的发布级验收。
-
-## 10. 历史高价值记录
-
-历史报告已合并为本指南，不再保留单独文档。后续若需要追溯，优先查看 `langbot-skills/reports/` 下的原始执行报告。
-
-截至 2026-05-29，已有本地 smoke 证明：
-
-- `local-agent` 可以通过 Pipeline Debug Chat 走插件化 `AgentRunOrchestrator` 主链路。
-- Claude Code runner 可以通过同一条 `run(event, binding)` 路径执行。
-- Claude Code runner 可以读取 LangBot event-first context / skill / MCP 投影，并写回 `external.session_id` / `external.working_directory`。
-- Codex runner 可以通过同一条路径执行，并把 Codex `thread_id` 写回 host-owned state。
-
-这些记录只证明本地协议闭环可用，不代表发布级 security hardening 已完成。

docs/agent-runner-pluginization/PROGRESS.md

@@ -1,160 +0,0 @@
-# Agent Runner 插件化实现进度
-
-本文档跟踪 Agent Runner 插件化的实现状态，便于快速了解当前进度。
-
-> 本文是 agent-runner 插件化**实现状态的唯一事实源**。协议规范见 [PROTOCOL_V1.md](./PROTOCOL_V1.md)，Host 架构见 [HOST_SDK_INFRASTRUCTURE.md](./HOST_SDK_INFRASTRUCTURE.md)。规范类文档不再各自维护"当前状态/✅"段落，状态一律以本文为准。
-
-## 总体进度
-
-**当前阶段**: Phase 3.5 已完成，Event-first 基础设施已完成；2026-05-29 已通过本地 `local-agent` 与 Claude Code runner smoke。
-
-| Phase | 描述 | 状态 |
-|-------|------|------|
-| Phase 0 | PoC 验证 | ✅ 完成 |
-| Phase 1 | 核心架构（Registry、Orchestrator、上下文模型） | ✅ 完成 |
-| Phase 2 | 权限、能力声明、资源注入 | ✅ 完成 |
-| Phase 3 | 内置 runner 迁移到插件 | ✅ 完成（7/7） |
-| Phase 3.5 | Event-first 基础设施 | ✅ 完成 |
-| Phase 3.6 | 外部 harness runner 协议 smoke | ✅ 完成（Claude Code MVP） |
-| Phase 4 | EBA 事件支持 | 🔲 未开始（已预留 event-first 入口，EventGateway 由其他分支实现） |
-
----
-
-## 详细状态
-
-### SDK 侧 (`langbot-plugin-sdk`)
-
-| 组件 | 状态 | 备注 |
-|------|------|------|
-| `AgentRunner` 组件 | ✅ | `api/definition/components/agent_runner/runner.py` |
-| `AgentRunContext` | ✅ | `api/entities/builtin/agent_runner/context.py` |
-| `AgentRunResult` | ✅ | `api/entities/builtin/agent_runner/result.py` |
-| `AgentRunnerCapabilities` | ✅ | `api/entities/builtin/agent_runner/capabilities.py` |
-| `AgentRunnerPermissions` | ✅ | `api/entities/builtin/agent_runner/permissions.py` |
-| EBA 事件模型 (Event/Actor/Subject) | ✅ | `api/entities/builtin/agent_runner/event.py` |
-| `LIST_AGENT_RUNNERS` action | ✅ | `runtime/io/handlers/control.py` |
-| `RUN_AGENT` action | ✅ | `runtime/io/handlers/control.py` |
-| `AgentRunAPIProxy` | ✅ | `api/proxies/agent_run_api.py` |
-| Pull API handlers (State/History/Event/Artifact) | ✅ | `runtime/io/handlers/plugin.py` |
-| `caller_plugin_identity` injection | ✅ | Pull API handlers inject caller identity |
-
-### LangBot 侧
-
-| 组件 | 状态 | 备注 |
-|------|------|------|
-| `AgentRunnerRegistry` | ✅ | `pkg/agent/runner/registry.py` |
-| `AgentRunOrchestrator` | ✅ | `pkg/agent/runner/orchestrator.py` - event-first `run(event, binding)` |
-| `AgentRunnerDescriptor` | ✅ | `pkg/agent/runner/descriptor.py` |
-| `AgentResourceBuilder` | ✅ | `pkg/agent/runner/resource_builder.py` |
-| `AgentRunContextBuilder` | ✅ | `pkg/agent/runner/context_builder.py` - event-first context |
-| `AgentResultNormalizer` | ✅ | `pkg/agent/runner/result_normalizer.py` |
-| `ConfigMigration` | ✅ | `pkg/agent/runner/config_migration.py` |
-| `QueryEntryAdapter` | ✅ | `pkg/agent/runner/query_entry_adapter.py` - Query → Event + Binding |
-| `run_from_query()` → `run(event, binding)` | ✅ | Pipeline 路径委托到 event-first path |
-| `ChatMessageHandler` 集成 | ✅ | 使用 orchestrator 替代 wrapper |
-| `PipelineService` 集成 | ✅ | 从 registry 获取 runner metadata |
-| Plugin connector | ✅ | `list_agent_runners()` / `run_agent()` |
-| `EventLogStore` | ✅ | `pkg/agent/runner/event_log_store.py` |
-| `TranscriptStore` | ✅ | `pkg/agent/runner/transcript_store.py` |
-| `ArtifactStore` | ✅ | `pkg/agent/runner/artifact_store.py` |
-| `PersistentStateStore` | ✅ | `pkg/agent/runner/persistent_state_store.py` |
-| History / Event pull APIs | ✅ | Orchestrator + APIProxy |
-| Artifact pull APIs | ✅ | Orchestrator + APIProxy |
-| State pull APIs | ✅ | Orchestrator + APIProxy |
-| `artifact.created` / `state.updated` handling | ✅ | Event-first handlers in orchestrator |
-| Pipeline path host capability coverage | ✅ | EventLog/Transcript/ArtifactStore/PersistentStateStore |
-| External harness state handoff | ✅ | `external.session_id` / `external.working_directory` 写入 PersistentStateStore |
-
-### 官方插件
-
-> 外部服务插件仓库：`/home/glwuy/langbot-app/langbot-agent-runner/`  
-> 本地 Local Agent 插件仓库：`/home/glwuy/langbot-app/langbot-local-agent/`
-
-| 插件 | 状态 | 备注 |
-|------|------|------|
-| `local-agent` | ✅ 已完成 | 核心功能：模型、工具、知识库、流式、会话 |
-| `dify-agent` | ✅ 已完成 | 支持 chat/agent/workflow 三种应用类型 |
-| `n8n-agent` | ✅ 已完成 | Webhook 调用，支持 basic/jwt/header 认证 |
-| `coze-agent` | ✅ 已完成 | 多模态输入，思维链处理 |
-| `claude-code-agent` | ✅ MVP smoke 通过 | 本地 Claude Code CLI；context / skill / MCP 投影；host-owned resume state |
-| `dashscope-agent` | ✅ 已完成 | 阿里云百炼，支持 agent/workflow 两种模式 |
-| `langflow-agent` | ✅ 已完成 | SSE 流式，tweaks 配置支持 |
-| `tbox-agent` | ✅ 已完成 | 蚂蚁百宝箱，多模态输入 |
-
-**注意**: LangBot 内置 runner（`pkg/provider/runners/`）已停用，文件顶部添加了 DEPRECATED 注释。
-
-### 本地验收
-
-| 日期 | 范围 | 状态 | 证据 |
-|------|------|------|------|
-| 2026-05-29 | `local-agent` Pipeline Debug Chat | ✅ PASS | `langbot-skills/reports/2026-05-29-17-59-00-462-08-00-pipeline-debug-chat.md` |
-| 2026-05-29 | `claude-code-agent` Pipeline Debug Chat | ✅ PASS | `langbot-skills/reports/2026-05-29-18-03-31-169-08-00-pipeline-debug-chat.md` |
-| 2026-05-29 | Claude Code context / skill / MCP projection | ✅ PASS | `langbot-skills/reports/claude-code-agent-resource-context-20260529.md` |
-| 2026-05-29 | Claude Code resume state | ✅ PASS | `langbot-skills/reports/claude-code-agent-real-workdir-20260529.md` |
-| 2026-05-29 | `codex-agent` Debug Chat + thread_id resume state | ✅ PASS | 见 [PHASE1_QA_ACCEPTANCE_MATRIX.md](./PHASE1_QA_ACCEPTANCE_MATRIX.md) §10 / `langbot-skills/reports/` |
-
----
-
-## 未完成但仍属本分支收尾
-
-以下项目属于本分支收尾工作：
-
-- [x] Smoke / manual validation — `local-agent`、Claude Code MVP、Codex MVP 已通过本地 WebUI smoke
-- [ ] Docs final QA
-- [ ] Claude Code runner 文档、安装和 marketplace 发布准备
-
----
-
-## 非本分支范围
-
-以下能力由其他分支负责：
-
-| 能力 | 负责分支 | 备注 |
-|------|----------|------|
-| EventGateway implementation | event branch | 完整事件网关、事件路由、持久化管理 |
-| Event subscription / notification | event branch | 事件订阅、推送通知 |
-| BindingResolver persistence UI | 其他模块 | 绑定配置的持久化 UI |
-| Event router integration | event branch | 与 BindingResolver 集成 |
-| Scheduler / background event source | 其他模块 | 定时任务、后台事件源 |
-| Security release hardening | 后续 release gate | 路径隔离、权限边界、secret、MCP/skill 投影策略、资源配额、审计 |
-| Codex / Kimi runner 全量接入 | 后续 runner 插件工作 | Codex MVP 已打通；Codex 发布级能力、Kimi runner 和全量 hardening 仍不扩大到当前协议闭环 |
-| Issue-centric 产品模型 / 异步队列 / workflow engine | 后续产品架构 | 不属于当前 agent-runner plugin 协议闭环 |
-
----
-
-## 待办事项
-
-### 高优先级
-
-- [x] 工具详情 API — SDK `GET_TOOL_DETAIL` action、`AgentRunAPIProxy.get_tool_detail()` 与 Host 侧授权校验已接通
-- [x] Pipeline `run_from_query()` → `run(event, binding)` — 已完成
-- [x] EventLog / Transcript / ArtifactStore / PersistentStateStore — 已完成
-- [x] History / Event / Artifact / State pull APIs — 已完成
-- [x] `caller_plugin_identity` 验证路径 — 已完成
-
-### 低优先级 / 未来
-
-- [ ] EBA 完整集成 — EventGateway、event subscription、event notification 由其他分支实现
-- [ ] 平台 API 动作执行 — `action.requested` 结果类型存在但未执行
-- [ ] 安全发布级 hardening — 作为生产默认启用前的 release gate，不阻塞当前协议闭环
-
----
-
-## 关键决策记录
-
-| 日期 | 决策 |
-|------|------|
-| 2026-05-10 | Phase 0 集成测试通过，SDK v1 协议验证成功 |
-| 2026-05-13 | Phase 3 完成：所有 7 个官方 runner 插件迁移完成 |
-| 2026-05-23 | Phase 3.5 完成：`run_from_query()` 委托到 event-first `run(event, binding)`，Pipeline path 获得 host capabilities |
-| 2026-05-29 | 本地 `local-agent` 与 `claude-code-agent` 通过 WebUI smoke；Claude Code runner 验证 external harness context 投影和 host-owned resume state |
-
----
-
-## 相关文档
-
-- [README.md](./README.md) — 总体设计与路由
-- [PROTOCOL_V1.md](./PROTOCOL_V1.md) — 协议规范（唯一 schema 事实源）
-- [PHASE1_QA_ACCEPTANCE_MATRIX.md](./PHASE1_QA_ACCEPTANCE_MATRIX.md) — Agent Runner QA 指南和下一轮测试入口
-- [OFFICIAL_RUNNER_PLUGINS.md](./OFFICIAL_RUNNER_PLUGINS.md) — 官方插件仓库计划
-- [SECURITY_HARDENING.md](./SECURITY_HARDENING.md) — 安全发布级 hardening 后续门槛

docs/agent-runner-pluginization/PROTOCOL_V1.md

@@ -1,535 +0,0 @@
-# LangBot AgentRunner Protocol v1
-
-本文档是 LangBot Host 与插件 SDK / Runtime / AgentRunner 之间协议合同的**唯一规范来源（single source of truth）**。
-
-- 本文件描述"稳定接口应是什么"，是 normative spec，不混入实现进度。实现状态见 [PROGRESS.md](./PROGRESS.md)。
-- 本文件之外的任何文档**不得重新定义这里的数据结构**，只能引用，例如"见 PROTOCOL_V1 §4.2"。
-- Host 内部模型（`AgentEventEnvelope`、`AgentBinding`、Descriptor、各 Store）不属于 SDK 协议，定义在 [HOST_SDK_INFRASTRUCTURE.md](./HOST_SDK_INFRASTRUCTURE.md)。
-
-## 1. 协议目标
-
-Protocol v1 只解决四件事：
-
-- LangBot 如何发现插件提供的 AgentRunner。
-- LangBot 如何把一次事件调用封装成 `AgentRunContext`。
-- AgentRunner 如何以事件流形式返回运行结果。
-- AgentRunner 如何通过受限 API 访问 LangBot host 能力。
-
-Protocol v1 **不定义**：
-
-- LangBot 内部如何持久化 `AgentBinding`（见 HOST_SDK）。
-- AgentRunner 内部如何组装 prompt、压缩历史、管理 memory（见 [AGENT_CONTEXT_PROTOCOL.md](./AGENT_CONTEXT_PROTOCOL.md)）。
-- 官方 runner 的具体实现（见 [OFFICIAL_RUNNER_PLUGINS.md](./OFFICIAL_RUNNER_PLUGINS.md)）。
-- Pipeline 的长期配置模型。
-- 发布级安全 hardening 的完整实现（见 [SECURITY_HARDENING.md](./SECURITY_HARDENING.md)）。
-
-## 2. 参与方
-
-| 名称 | 职责 |
-| --- | --- |
-| LangBot Host | 事件入口、绑定解析、权限、资源、存储、生命周期、结果投递。 |
-| Plugin Runtime | 加载插件，响应 Host 的 runner discovery 和 run 调用。 |
-| AgentRunner | 插件提供的 agent 执行组件。 |
-| AgentRunAPIProxy | AgentRunner 访问 Host 能力的受限 API。 |
-| AgentBinding | Host 内部的事件到 runner 绑定配置，不直接暴露给 SDK（见 HOST_SDK §4.2）。 |
-
-产品层的 `Agent` 替代旧 Pipeline 承载 agent 配置：bot / IM channel
-绑定一个 Agent，一个 Agent 可以被多个 bot / channel 复用。Host 内部的
-`AgentBinding` 是一次事件运行前解析出的有效绑定，只影响 Host 构造出的
-`ctx.config`、`ctx.resources`、`ctx.context` 和 `ctx.delivery`。SDK 不需要知道
-Agent / binding 的持久化形态。
-
-外部 harness runner（Claude Code、Codex、Kimi Code 等）也是 `AgentRunner`：它们消费 event-first `AgentRunContext`、返回 `AgentRunResult`，并通过 Host 授权的 state/storage/artifact API 保存跨轮次指针。它们内部可以继续使用自己的 session、tool loop、MCP、上下文压缩和权限模型。
-
-## 3. 版本协商
-
-- `AgentRunnerManifest.protocol_version` 声明 runner 实现的协议大版本，当前为 `"1"`。
-- `AgentRuntimeContext.protocol_version`（`ctx.runtime.protocol_version`）声明 Host 下发的协议大版本。
-- Host 发现 runner 时校验 `protocol_version` 兼容性；不兼容的 runner 不进入可用列表，只记 warning。
-- 字段级演进规则：新增可选字段不提升大版本；删除或改语义需要提升大版本。
-- 结果流演进：Host **必须忽略未知 result type 并记录 warning**（除非该 type 明确要求强校验）。新增 result type 不提升大版本。
-
-## 4. Discovery 协议
-
-### 4.1 LIST_AGENT_RUNNERS
-
-Host 调用 Plugin Runtime 获取当前插件暴露的 runner 列表，请求无额外 payload。返回：
-
-```python
-class ListAgentRunnersResponse(BaseModel):
-    runners: list[AgentRunnerManifest]
-```
-
-### 4.2 AgentRunnerManifest
-
-```python
-class AgentRunnerManifest(BaseModel):
-    id: str
-    name: str
-    label: I18nObject
-    description: I18nObject | None = None
-    protocol_version: str = "1"
-    capabilities: AgentRunnerCapabilities
-    permissions: AgentRunnerPermissions
-    context: AgentRunnerContextPolicy
-    config_schema: list[DynamicFormItemSchema] = []
-    metadata: dict[str, Any] = {}
-```
-
-- `id` 必须稳定，格式 `plugin:author/name/runner`。
-- `name` 是插件内 runner 名称，例如 `default`。
-- `config_schema` 只描述绑定配置表单，不代表插件实例状态。
-- `metadata` 只放展示、诊断、非稳定扩展信息。
-
-### 4.3 Capabilities
-
-```python
-class AgentRunnerCapabilities(BaseModel):
-    streaming: bool = False
-    tool_calling: bool = False
-    knowledge_retrieval: bool = False
-    multimodal_input: bool = False
-    skill_authoring: bool = False
-    skill_injection: bool = False
-    event_context: bool = True
-    platform_api: bool = False
-    interrupt: bool = False
-    stateful_session: bool = False
-    self_managed_context: bool = True
-```
-
-语义：
-
-- `streaming`: runner 可以返回 `message.delta`。
-- `tool_calling`: runner 可能调用 Host tool API。
-- `knowledge_retrieval`: runner 可能调用 Host knowledge API。
-- `multimodal_input`: runner 可以处理非纯文本 input / artifact。
-- `skill_authoring`: runner 需要 Host 提供的 skill authoring tools。
-- `skill_injection`: runner 需要 Host 在 effective prompt 中注入 skill index。
-- `event_context`: runner 理解 event-first 输入。
-- `platform_api`: runner 可能请求平台动作。
-- `interrupt`: runner 支持取消或中断。
-- `stateful_session`: runner 可能维护跨 run 会话状态。
-- `self_managed_context`: runner 自己管理 working context，Host 不应默认 inline 历史。
-
-> Capabilities 字段全部是 `bool`。runner 是否寄宿 host-owned state **不在 capabilities 表达**，而通过 `permissions.storage` 声明（见 §4.4），避免出现非 bool 取值。
-
-### 4.4 Permissions
-
-```python
-class AgentRunnerPermissions(BaseModel):
-    models: list[Literal["invoke", "stream", "rerank"]] = []
-    tools: list[Literal["detail", "call"]] = []
-    knowledge_bases: list[Literal["list", "retrieve"]] = []
-    history: list[Literal["page", "search"]] = []
-    events: list[Literal["get", "page"]] = []
-    artifacts: list[Literal["metadata", "read"]] = []
-    storage: list[Literal["plugin", "workspace", "binding"]] = []
-    files: list[Literal["config", "knowledge"]] = []
-    platform_api: list[str] = []
-```
-
-Manifest permissions 是 runner 需要的**最大能力**。实际可用资源还要经过 Host binding policy 和当前 run scope 裁剪（三层裁剪见 HOST_SDK §4.5）。
-
-### 4.5 Context Policy
-
-```python
-class AgentRunnerContextPolicy(BaseModel):
-    supports_history_pull: bool = True
-    supports_history_search: bool = False
-    supports_artifact_pull: bool = True
-    owns_compaction: bool = True
-    wants_static_context_refs: bool = True
-```
-
-Host 不使用该声明给 runner inline 历史窗口。默认原则：
-
-- Host 不得默认 inline 全量历史。
-- Host 只 inline 当前 event / input 和 context handles。
-- Runner 拥有 working context assembly。
-- Runner 可在授权后通过 Host history / event / artifact / state API 拉取更多上下文。
-- 历史窗口策略不属于 Protocol v1 字段，也不属于 Host 通用语义。
-
-context 边界的设计理由见 [AGENT_CONTEXT_PROTOCOL.md](./AGENT_CONTEXT_PROTOCOL.md)。
-
-## 5. Run 协议
-
-### 5.1 RUN_AGENT
-
-Host 调用 Runtime：
-
-```python
-class AgentRunRequest(BaseModel):
-    runner_id: str
-    runner_name: str
-    context: AgentRunContext
-```
-
-Runtime 返回 `AgentRunResult` 异步流。底层 transport 可继续用 `plugin_author` / `plugin_name` / `runner_name` 定位组件，但协议语义以 `runner_id` 和 `context` 为准。
-
-### 5.2 AgentRunContext
-
-这是 SDK 看到的**唯一权威 context 定义**。
-
-```python
-class AgentRunContext(BaseModel):
-    run_id: str
-    trigger: AgentTrigger
-    event: AgentEventContext
-    conversation: ConversationContext | None = None
-    actor: ActorContext | None = None
-    subject: SubjectContext | None = None
-    input: AgentInput
-    delivery: DeliveryContext
-    resources: AgentResources
-    context: ContextAccess
-    state: AgentRunState
-    runtime: AgentRuntimeContext
-    config: dict[str, Any] = {}
-    adapter: AdapterContext | None = None
-    metadata: dict[str, Any] = {}
-```
-
-核心约束：
-
-- `event` 是必选字段，Protocol v1 是 event-first。
-- `input` 表示当前事件的主输入，不等于历史消息。
-- `bootstrap` / `messages` **不是协议字段**；Host 不内联历史窗口。
-- `adapter` 只放入口 adapter 的非核心元数据，runner 不应依赖它做长期能力。
-- `config` 是 Agent/runner config，不是插件实例状态。
-
-### 5.3 AgentTrigger
-
-```python
-class AgentTrigger(BaseModel):
-    type: str
-    source: Literal["platform", "webui", "api", "scheduler", "system", "host_adapter"]
-    timestamp: int | None = None
-```
-
-`trigger.type` 应与 `event.event_type` 一致或更粗粒度。例如入口适配器触发消息时：
-
-```json
-{ "type": "message.received", "source": "host_adapter" }
-```
-
-### 5.4 AgentEventContext
-
-```python
-class AgentEventContext(BaseModel):
-    event_id: str
-    event_type: str
-    event_time: int | None = None
-    source: str
-    source_event_type: str | None = None
-    raw_ref: RawEventRef | None = None
-    data: dict[str, Any] = {}
-```
-
-- `event_type` 使用 LangBot 稳定协议名，例如 `message.received`。稳定事件名清单见 [EVENT_BASED_AGENT.md](./EVENT_BASED_AGENT.md)。
-- 平台原始事件名放入 `source_event_type`。
-- 大型原始 payload 必须放入 `raw_ref` 或 artifact，不应直接塞入 `data`。
-
-### 5.5 Conversation / Actor / Subject
-
-```python
-class ConversationContext(BaseModel):
-    conversation_id: str | None = None
-    thread_id: str | None = None
-    launcher_type: str | None = None
-    launcher_id: str | None = None
-    bot_id: str | None = None
-    workspace_id: str | None = None
-
-class ActorContext(BaseModel):
-    actor_type: str
-    actor_id: str | None = None
-    actor_name: str | None = None
-    metadata: dict[str, Any] = {}
-
-class SubjectContext(BaseModel):
-    subject_type: str
-    subject_id: str | None = None
-    data: dict[str, Any] = {}
-```
-
-示例：
-
-- 消息事件：actor 是发消息的人，subject 是当前消息。
-- 入群事件：actor 是新成员或邀请人，subject 是群/成员关系。
-- 定时事件：actor 可以是 system，subject 是 schedule。
-
-### 5.6 AgentInput
-
-```python
-class AgentInput(BaseModel):
-    text: str | None = None
-    contents: list[ContentElement] = []
-    attachments: list[ArtifactRef] = []
-    message_chain: dict[str, Any] | None = None
-```
-
-- 文本、多模态、附件都属于当前 event input。
-- 大文件、图片、音频、工具大结果应以 artifact ref 传递。
-- `message_chain` 是平台兼容字段，不应成为长期稳定依赖。
-
-### 5.7 DeliveryContext
-
-```python
-class DeliveryContext(BaseModel):
-    surface: str
-    reply_target: dict[str, Any] | None = None
-    supports_streaming: bool = False
-    supports_edit: bool = False
-    supports_reaction: bool = False
-    max_message_size: int | None = None
-    platform_capabilities: dict[str, Any] = {}
-```
-
-Runner 可参考 delivery 能力决定返回 `message.delta`、`message.completed` 或 `action.requested`。
-
-### 5.8 ContextAccess
-
-```python
-class ContextAccess(BaseModel):
-    conversation_id: str | None = None
-    thread_id: str | None = None
-    latest_cursor: str | None = None
-    event_seq: int | None = None
-    transcript_seq: int | None = None
-    has_history_before: bool = False
-    inline_policy: InlineContextPolicy
-    available_apis: ContextAPICapabilities
-
-class InlineContextPolicy(BaseModel):
-    mode: Literal["none", "current_event", "recent_tail", "summary_tail"]
-    delivered_count: int = 0
-    source_total_count: int | None = None
-    messages_complete: bool = False
-    reason: str | None = None
-
-class ContextAPICapabilities(BaseModel):
-    history_page: bool = False
-    history_search: bool = False
-    event_get: bool = False
-    event_page: bool = False
-    artifact_metadata: bool = False
-    artifact_read: bool = False
-    state: bool = False
-    storage: bool = False
-```
-
-`ContextAccess` 告诉 runner：Host inline 了什么、没 inline 什么、需要更多上下文时走哪些 API。它是 runner 按需读取上下文的入口说明，不是 Host 的业务上下文编排策略。
-
-### 5.9 AgentRuntimeContext
-
-```python
-class AgentRuntimeContext(BaseModel):
-    host: str = "langbot"
-    protocol_version: str = "1"
-    langbot_version: str | None = None
-    trace_id: str
-    deadline_at: float | None = None
-    locale: str | None = None
-    timezone: str | None = None
-    static_refs: dict[str, StaticContextRef] = {}
-    metadata: dict[str, Any] = {}
-```
-
-`static_refs` 用于 KV cache 友好的静态上下文引用（system policy、tool schema、resource manifest 的 hash/version）。理由见 AGENT_CONTEXT_PROTOCOL §6。
-
-### 5.10 AgentRunState
-
-```python
-class AgentRunState(BaseModel):
-    conversation: dict[str, Any] = {}
-    actor: dict[str, Any] = {}
-    subject: dict[str, Any] = {}
-    runner: dict[str, Any] = {}
-```
-
-State 是可选 host-owned snapshot。Runner 也可以完全自管状态。
-
-## 6. Resources
-
-```python
-class AgentResources(BaseModel):
-    models: list[ModelResource] = []
-    tools: list[ToolResource] = []
-    knowledge_bases: list[KnowledgeBaseResource] = []
-    files: list[FileResource] = []
-    storage: StorageResource = StorageResource()
-    platform_capabilities: dict[str, Any] = {}
-```
-
-资源列表是本次 run 的授权结果。History / Event / Artifact 访问通过 permissions、`ctx.context.available_apis` 和 Host 侧 run session 校验控制，不作为可枚举 resource list 暴露。Runner 只能通过 `AgentRunAPIProxy` 访问这些能力。
-
-## 7. Result Stream
-
-### 7.1 AgentRunResult
-
-```python
-class AgentRunResult(BaseModel):
-    run_id: str
-    type: str
-    data: dict[str, Any] = {}
-    sequence: int | None = None
-    timestamp: int | None = None
-```
-
-### 7.2 稳定 result types
-
-| type | 说明 | 当前消费 |
-| --- | --- | --- |
-| `message.delta` | 流式消息片段。 | ✅ |
-| `message.completed` | 完整消息。 | ✅ |
-| `tool.call.started` | 工具调用开始的可观测事件。 | telemetry |
-| `tool.call.completed` | 工具调用完成的可观测事件。 | telemetry |
-| `artifact.created` | runner 生成 artifact。 | ✅ |
-| `state.updated` | runner 请求更新 host-owned state。 | ✅ |
-| `action.requested` | runner 请求 Host 执行平台动作。 | **reserved / 仅 telemetry，不执行** |
-| `run.completed` | run 正常结束。 | ✅ |
-| `run.failed` | run 失败。 | ✅ |
-
-`action.requested` 是为 EBA 和 platform API 预留的协议表面：当前阶段 Host 收到后只记 telemetry，**不执行**，runner 作者不应依赖其副作用。执行模型见 EVENT_BASED_AGENT §6。
-
-### 7.3 示例
-
-```json
-{ "type": "message.delta",     "data": { "chunk": { "role": "assistant", "content": "hel" } } }
-{ "type": "message.completed", "data": { "message": { "role": "assistant", "content": "hello" } } }
-{ "type": "state.updated",     "data": { "scope": "conversation", "key": "external.session_id", "value": "abc" } }
-{ "type": "action.requested",  "data": { "action": "message.edit", "target": {"message_id": "..."}, "payload": {"text": "..."} } }
-```
-
-Host 必须校验 `state.updated` 的 scope、key、value 大小和 JSON 可序列化性。
-
-## 8. AgentRunAPIProxy
-
-所有 proxy action 必须携带 `run_id`。Host 必须校验：active run session 存在、caller plugin identity 匹配、resource 在本次 `ctx.resources` 中授权、scope 不越界、payload size / rate limit / deadline 合法。
-
-```python
-# Model
-await api.models.invoke(model_id, messages, tools=None, extra_args=None)
-await api.models.stream(model_id, messages, tools=None, extra_args=None)
-await api.models.rerank(model_id, query, documents, top_k=None)
-
-# Tool
-await api.tools.get_detail(tool_name)
-await api.tools.call(tool_name, parameters)
-
-# Knowledge
-await api.knowledge.retrieve(kb_id, query_text, top_k=5, filters=None)
-
-# History（返回 Transcript projection，不返回原始平台 payload）
-await api.history.page(conversation_id=None, before_cursor=None, after_cursor=None,
-                       limit=50, direction="backward", include_artifacts=False)
-await api.history.search(query, filters=None, top_k=10)
-
-# Event（返回稳定 event envelope 或受限 raw ref，不默认返回大 payload）
-await api.events.get(event_id)
-await api.events.page(before_cursor=None, limit=50)
-
-# Artifact（必须支持大小限制、MIME 校验、过期时间和授权范围）
-await api.artifacts.metadata(artifact_id)
-await api.artifacts.read_range(artifact_id, offset=0, length=65536)
-await api.artifacts.open_stream(artifact_id)
-
-# State / Storage
-await api.state.get(scope, key);   await api.state.set(scope, key, value);   await api.state.delete(scope, key)
-await api.storage.get(area, key);  await api.storage.set(area, key, value)
-await api.storage.delete(area, key); await api.storage.list(area, prefix=None)
-
-# Platform（受限能力，默认不开放，需 manifest + binding policy + 用户审批同时允许）
-await api.platform.request_action(action, target, payload)
-```
-
-`state` 与 `storage` 的建议边界：`state` 放小型 JSON（conversation / actor / runner / binding），`storage` 放 blob 或较大数据（插件私有数据、workspace 数据、checkpoint）。
-
-返回数据结构（如 `HistoryPage`、artifact metadata）见 AGENT_CONTEXT_PROTOCOL §4。
-
-## 9. 错误模型
-
-```python
-class AgentAPIError(BaseModel):
-    code: str
-    message: str
-    retryable: bool = False
-    details: dict[str, Any] = {}
-```
-
-| code | 说明 |
-| --- | --- |
-| `unauthorized` | 未授权访问资源或 scope。 |
-| `not_found` | 资源不存在或对当前 runner 不可见。 |
-| `deadline_exceeded` | 超过 run deadline。 |
-| `payload_too_large` | 请求或响应过大。 |
-| `rate_limited` | Host 限流。 |
-| `invalid_argument` | 参数错误。 |
-| `runtime_error` | Host 或下游能力错误。 |
-
-Runner 失败使用 `run.failed`：
-
-```json
-{ "type": "run.failed", "data": { "code": "runner.error", "message": "failed to call external agent", "retryable": false } }
-```
-
-## 10. Timeout 与 Cancellation
-
-- Host 在 `ctx.runtime.deadline_at` 下发总 deadline；SDK proxy 必须用该 deadline 限制单次 action timeout。
-- Host 可以取消 active run；Runtime 应尽力中断 runner。
-- Runner 支持中断时应返回或触发 `run.failed`，code 为 `cancelled`。
-- Host 必须 unregister active run session。
-
-## 11. Security 与 Guardrail（协议层）
-
-Protocol v1 的安全边界在 Host：
-
-- Runner 不能直接访问未授权 model/tool/kb/history/artifact/storage。
-- SDK 本地校验只提升开发体验，不能替代 Host 校验。
-- 所有 resource id 对 runner 来说都是 opaque。
-- 默认只能访问当前 conversation / thread 的 history；跨会话、workspace 级访问必须额外授权。
-- 大 payload 必须 artifact 化。
-- Host 必须记录 run_id、runner_id、action、resource、scope、result。
-
-Host 不负责业务编排：不拼接全量历史、不替 runner 做 prompt assembly、不内置 agent memory / tool loop / 上下文压缩策略。这些由官方或第三方 AgentRunner 插件实现。
-
-对外部 harness runner，Host 在调用前完成 binding/resource policy 裁剪、路径策略、secret 过滤和审计；runner plugin 把授权后的 context/resource projection 适配为目标 harness 的形式；harness 的 native permission mode、allowed/disallowed tools 只是额外执行约束，不能替代 Host 授权。
-
-> 发布级路径隔离、MCP allowlist、secret redaction、配额、workspace 清理等**不属于** v1 协议闭环，是生产默认启用前的 release gate，见 [SECURITY_HARDENING.md](./SECURITY_HARDENING.md)。
-
-## 12. Pipeline Adapter 边界
-
-Pipeline 是当前入口 adapter，不是协议中心。目标产品模型中 Agent 会替代
-Pipeline 承载 runner config、resource policy 和 delivery policy；当前 Query
-entry adapter 只是迁移桥。它负责：
-
-- 从 `Query` 构造 `AgentEventContext` 和临时 `AgentBinding`（见 HOST_SDK §4.2）。
-- 从当前 Agent/runner config 构造 `ctx.config`。
-- 将 Query-only 字段放入 `ctx.adapter`，例如 filtered params 放 `ctx.adapter.extra["params"]`。
-
-约束：
-
-- adapter **不**定义历史窗口、prompt 组装或 agentic context 策略。
-- `ctx.adapter.extra` 只允许承载一次性、JSON-safe、入口相关的非核心元数据，例如 `params`；不得承载 `prompt`、history window、RAG 结果、tool schema 或授权资源。
-- 静态绑定 prompt 属于 `ctx.config.prompt`。preprocessing / hook 后的动态有效指令不通过 `ctx.adapter.extra` 主动推送；后续如需要保留这类能力，应通过 Host prompt/instruction pull API 暴露（占位见 HOST_SDK §4.8）。
-- 新 runner 不应长期依赖 `adapter`，应只依赖 event-first context 和 Host API。
-
-## 13. 已确认约束
-
-- v1 / EBA 主线是 `one event -> one AgentBinding -> one run_id -> one runner`。
-- 一个 bot / IM channel 在同一时间只绑定一个负责 agentic 处理的 Agent；一个 Agent 可以被多个 bot / channel 复用。
-- 如果配置层出现多个匹配 AgentBinding，BindingResolver 必须按明确规则选出一个或拒绝配置，不应默认 fan-out。
-- observer agent、多 runner fan-out、并行裁决、result 合并等能力需要单独设计 delivery、state、platform action 和 audit 语义，不属于当前 v1 契约。
-- `AgentRunnerDescriptor.source` 只允许 `plugin`；Host 内置 adapter 不能作为 runner source 绕过插件/runtime/proxy 权限链。
-- `ctx.resources` 与 proxy action 校验必须来自同一个 run authorization snapshot；runtime handler 不应重新执行资源裁剪。
-- 外部 harness runner 当前是 MVP / dev path，证明协议可接入，不代表发布级安全边界或 Docker 生产可用性完成。
-
-## 14. 开放问题
-
-- `AgentBinding` 是否需要进入 SDK 文档作为只读诊断信息，还是完全 Host 内部。
-- `TranscriptItem` 的最小字段集如何定义。
-- ArtifactStore 是否复用现有 BinaryStorage backend，还是引入独立实体。
-- State 与 Storage 的边界是否需要更强类型。
-- `platform_api` action 的审批模型如何表达。
-- Host 侧 scoped MCP / skill / workspace projection 是否需要从 runner config 上移为一等 resource projection API。

docs/agent-runner-pluginization/README.md

@@ -1,147 +0,0 @@
-# Agent Runner 插件化文档入口
-
-本文档是 agent-runner 插件化工作的路由页。具体设计拆到独立文档中维护，避免把 LangBot 宿主架构、SDK 协议、上下文管理、EBA 预留和官方 runner 迁移混在同一份 README 里。
-
-## 文档维护原则（单一事实源）
-
-- **协议数据结构（schema）唯一定义在 [PROTOCOL_V1.md](./PROTOCOL_V1.md)。** 其他文档不得重抄 schema，只能引用，例如"见 PROTOCOL_V1 §4.2"。
-- **实现状态唯一记录在 [PROGRESS.md](./PROGRESS.md)。** 规范类文档不维护"当前状态/✅"段落。
-- Host 内部模型（`AgentEventEnvelope`、`AgentBinding`、Descriptor、各 Store）定义在 [HOST_SDK_INFRASTRUCTURE.md](./HOST_SDK_INFRASTRUCTURE.md)，不属于 SDK 协议。
-- 其余专题文档只讲"为什么/边界/怎么用"，避免重复叙述。
-
-## 本分支目标
-
-**本分支目标：AgentRunner 外化 / 插件化基础设施**
-
-本分支只做 LangBot 作为 Agent Host 的基础能力建设，为后续用 `Agent`
-替代 Pipeline 承载 agent 配置打底：
-
-- LangBot 与 SDK 的稳定协议合同（Protocol v1）
-- Host-side `AgentEventEnvelope` / `AgentBinding` 模型
-- `run(event, binding)` event-first 入口
-- `QueryEntryAdapter`：Query → AgentEventEnvelope + AgentBinding
-- EventLog / Transcript / ArtifactStore / PersistentStateStore
-- History / Event / Artifact / State pull APIs
-- SDK runtime forwarding pull APIs + `caller_plugin_identity` 验证路径
-
-## 本分支不实现
-
-以下能力由其他分支负责，本分支只预留 integration point：
-
-- **EventGateway**：完整事件网关实现、事件路由、事件持久化管理
-- **Event subscription / Event notification**：事件订阅、推送通知
-- **BindingResolver persistence UI**：绑定配置的持久化 UI 和 event router 集成（如由其他模块负责）
-- **Scheduler / Background event source**：定时任务、后台事件源
-- **Runtime control plane v2**：runtime registry、heartbeat、task queue、daemon claim、progress/cancel 和 runtime audit
-
-EventGateway 在本文档中描述为 **future integration point**，由外部 event branch 提供。本分支只定义 host-side envelope/binding models 和 `run(event, binding)` orchestrator 入口。
-
-## 目标产品模型
-
-未来产品层应把 `Agent` 理解为 Pipeline 的替代物：原先 bot 绑定
-Pipeline，Pipeline 携带 agent/provider/RAG/tool 等配置；后续应改为 bot 或
-IM channel 绑定一个 Agent，Agent 携带 runner id、runner config、
-resource/state/delivery policy 等 agent 配置。
-
-约束：
-
-- 一个 bot / IM channel 在同一时间只绑定一个负责 agentic 处理的 Agent。
-- 一个 Agent 可以被多个 bot / channel 复用，类似旧 Pipeline 可被多个 bot 共享。
-- Agent 配置是运行绑定配置，不是插件实例状态；多个 Agent 指向同一
-  AgentRunner 时不创建多个插件实例。
-- 当前 Pipeline path 只是迁移期入口 adapter：它把旧 Pipeline 配置投影为临时
-  `AgentBinding`，不代表目标架构仍由 Pipeline 承载 agent 语义。
-
-## 当前状态
-
-**当前 Pipeline 是入口 adapter，不再是 agent runner 设计核心。**
-
-主入口仍可由 Pipeline 触发，但内部已转换成 event-first path：`run_from_query()` 经 `QueryEntryAdapter` 把 `Query` 转换为 `AgentEventEnvelope` + `AgentBinding`，再委托到统一的 `run(event, binding, ...)`。Pipeline path 因此获得了 event-first host capabilities（EventLog / Transcript / ArtifactStore / PersistentStateStore 写入，History / Event / Artifact / State pull API 可用）。
-
-详细实现进度、已验收能力和未完成收尾见 [PROGRESS.md](./PROGRESS.md)。
-
-## 设计文档
-
-| 文档 | 关注点 |
-| --- | --- |
-| [PROTOCOL_V1.md](./PROTOCOL_V1.md) | **🔒 唯一 schema 事实源**。LangBot Host 与 SDK / Runtime / AgentRunner 的协议合同：版本协商、discovery、run context、result stream、proxy actions、错误和 adapter 边界。 |
-| [HOST_SDK_INFRASTRUCTURE.md](./HOST_SDK_INFRASTRUCTURE.md) | LangBot 宿主能力与分层架构、Host 内部模型（`AgentEventEnvelope` / `AgentBinding` / Descriptor / 各 Store）、runner 发现、绑定、资源授权、状态、存储、生命周期和调用链。 |
-| [AGENT_CONTEXT_PROTOCOL.md](./AGENT_CONTEXT_PROTOCOL.md) | Agent-owned context 方向：事件到来时 LangBot 传什么，agent 如何按需拉取更多历史 / artifact / state，以及如何支持 KV cache 友好的上下文管理。 |
-| [EVENT_BASED_AGENT.md](./EVENT_BASED_AGENT.md) | EBA 预留：事件模型、事件来源、触发绑定、非消息事件如何复用 AgentRunner 调度。**标注为 future design note**。 |
-| [RUNTIME_CONTROL_PLANE_V2.md](./RUNTIME_CONTROL_PLANE_V2.md) | Agent Platform v2 / runtime 管控面预留：Host 新增 runtime registry、heartbeat、task queue、daemon 执行和 audit；管理插件构建在这些 Host 能力之上。**标注为 future design note**。 |
-| [OFFICIAL_RUNNER_PLUGINS.md](./OFFICIAL_RUNNER_PLUGINS.md) | 官方 runner 插件迁移，包括 local-agent 和外部 runner。它是下游落地计划，不是 LangBot 基础能力设计的前置约束。 |
-| [PHASE1_QA_ACCEPTANCE_MATRIX.md](./PHASE1_QA_ACCEPTANCE_MATRIX.md) | Agent Runner QA 指南：保留最高价值测试路径，指导 agent 开展下一轮 WebUI / runner smoke 验证。 |
-| [SECURITY_HARDENING.md](./SECURITY_HARDENING.md) | 安全发布级 hardening 的后续发布门槛：路径隔离、权限边界、secret、资源配额、MCP / skill 投影和审计。 |
-| [PROGRESS.md](./PROGRESS.md) | **🔒 唯一状态事实源**。当前实现进度、已验收能力、未完成收尾和非本分支范围。 |
-
-## 工作拆分
-
-### 1. LangBot + SDK 基础设施
-
-目标是把 LangBot 从内置 runner 执行器变成 agent host：
-
-- LangBot 与 SDK 的稳定协议合同
-- runner manifest / descriptor / registry
-- Agent / binding 配置解析
-- run orchestration 和生命周期管理
-- resource authorization 与 `run_id` 级权限校验
-- host-owned state / storage / event log / transcript / artifact 能力
-- SDK `AgentRunner`、`AgentRunContext`、`AgentRunResult`、`AgentRunAPIProxy`
-
-协议合同详见 [PROTOCOL_V1.md](./PROTOCOL_V1.md)。
-
-详见 [HOST_SDK_INFRASTRUCTURE.md](./HOST_SDK_INFRASTRUCTURE.md)。
-
-### 2. Agent-owned context
-
-LangBot 不应成为最终 agentic context manager。它应提供事实源、默认上下文引用和按需读取 API；agent 或其背后的 runtime 负责历史剪裁、摘要、召回和 KV cache 策略。
-
-Host 不定义通用历史窗口字段或策略；runner 通过 Host pull API 按需拉取历史并自行管理 working context。
-
-详见 [AGENT_CONTEXT_PROTOCOL.md](./AGENT_CONTEXT_PROTOCOL.md)。
-
-### 3. Event Based Agent（Future）
-
-消息只是事件的一种。后续 `message.received`、`message.recalled`、`group.member_joined`、`friend.request_received` 等事件都应能通过统一事件 envelope 触发 AgentRunner。
-
-EBA 主线按单 Agent 调度设计：EventRouter 对一个 bot / channel / scope
-解析出一个有效 AgentBinding，再调用一次 `AgentRunOrchestrator.run(event,
-binding)`。多 agent fan-out、observer agent 或并行裁决不属于当前目标语义。
-
-**本分支不实现 EBA 完整能力，只预留：**
-- event-first envelope (`AgentEventEnvelope`)
-- AgentBinding model
-- `run(event, binding)` 入口
-- QueryEntryAdapter（当前 AgentEventEnvelope / AgentBinding 的 Query entry adapter source）
-
-详见 [EVENT_BASED_AGENT.md](./EVENT_BASED_AGENT.md)。
-
-### 4. 官方 runner 插件
-
-官方 `local-agent` 和外部 runner 迁移是下游工作。它们需要依附 LangBot 提供的宿主能力，但不应反过来决定宿主协议。
-
-`local-agent` 可以外移，也可以重写。验收重点是它能完整消费 LangBot 的模型、工具、知识库、存储、事件、history API 和 result stream，而不是保留旧内置 runner 的内部结构。
-
-详见 [OFFICIAL_RUNNER_PLUGINS.md](./OFFICIAL_RUNNER_PLUGINS.md)。
-
-### 5. Runtime Control Plane v2（Future）
-
-当前 AgentRunner v1 主线只负责 `event -> binding -> runner.run(ctx) -> result stream`。
-后续 Agent Platform v2 可以在 Host 侧新增 runtime registry、heartbeat、task queue、daemon claim、progress/cancel 和 runtime audit。
-
-在这些 Host 能力之上，可以构建独立 agent 管控面插件；插件负责 UI、策略和编排体验，runtime/task 的事实源仍由 Host 持有。
-
-详见 [RUNTIME_CONTROL_PLANE_V2.md](./RUNTIME_CONTROL_PLANE_V2.md)。
-
-## 已确认决策
-
-- 一个插件可以声明多个 `AgentRunner` 组件，每个组件独立暴露 manifest、配置 schema、能力和权限。
-- 插件本身按单实例、无状态执行单元理解；不同绑定不创建多个插件实例。
-- Agent / binding 只保存 runner id 和绑定配置，不代表插件实例状态。
-- bot / IM channel 绑定一个 Agent；Agent 可被多个 bot / channel 复用。
-- LangBot 可以提供 host-owned state / storage 能力，让 runner 把状态寄宿在 LangBot；但这应该是授权能力，不是强制要求。
-- 官方 runner 插件是协议消费者，不是协议设计的优先约束。
-- Pipeline 是当前入口 adapter，不是未来架构中心。
-- Event dispatch 主线是 one event -> one AgentBinding -> one run_id -> one runner。
-- EventGateway 是 future integration point，由外部 event branch 提供。
-- Runtime control plane 是 v2 Host capability layer，不阻塞当前 AgentRunner v1 主线；agent 管控面插件应构建在该 Host 能力层之上。

docs/agent-runner-pluginization/RUNTIME_CONTROL_PLANE_V2.md

@@ -1,227 +0,0 @@
-# Agent Runtime Control Plane V2
-
-本文档记录后续 Agent Platform / runtime 管控面的设计方向。它是当前讨论中的 **v2 文档**，但这里的 v2 指 Host capability layer / runtime control plane，不是 `AgentRunner Protocol v2`，也不属于当前 AgentRunner Protocol v1 插件化主线的交付范围。
-
-> **future design note**。协议数据结构见 [PROTOCOL_V1.md](./PROTOCOL_V1.md)，实现进度见 [PROGRESS.md](./PROGRESS.md)。本文只讲 v2 管控面方向，不重抄 schema。
-
-## 1. 结论
-
-当前主线应继续收口 AgentRunner v1：
-
-```text
-message/event -> binding -> runner.run(ctx) -> result stream
-```
-
-Runtime Control Plane v2 在 Host 侧新增 runtime control plane：
-
-```text
-event -> task -> runtime selection -> daemon claim -> execute -> progress/audit/result
-```
-
-在 Runtime Control Plane v2 之上，可以构建独立的 agent 管控面插件。插件负责 UI、策略和编排体验；runtime、task、heartbeat、audit 的事实源必须属于 LangBot Host，而不是插件私有 storage。
-
-## 2. 不影响 v1 主线
-
-v2 不应改变 AgentRunner v1 的基本契约：
-
-- 现有 `local-agent`、Dify、n8n、Coze 等 runner 仍可按 v1 直接执行。
-- 当前 Claude Code / Codex MVP runner 可以继续作为本机 subprocess 开发路径。
-- Host v1 已有的 event-first context、resource authorization、history / event / artifact / state / storage pull APIs 继续保留。
-- Pipeline 仍只是当前入口 adapter，不参与 v2 runtime 管控面的设计中心。
-
-v2 只是在 Host 上新增一层可选能力。需要管控面的 runner 或管理插件可以声明使用它；不需要的 runner 不受影响。
-
-## 3. 当前 Host 能力与缺口
-
-当前 Host 已经具备 v2 的基础设施底座：
-
-- `AgentEventEnvelope` / `AgentBinding`
-- run-scoped resource authorization
-- EventLog / Transcript / ArtifactStore / PersistentStateStore
-- History / Event / Artifact / State / Storage pull APIs
-- AgentRunner result stream 和受控错误回流
-- Agent/runner config 与 host-owned state
-
-这些能力足够支持一次 `runner.run(ctx)` 内的安全执行，但不足以承担完整 runtime 管控面。
-
-v2 还需要 Host 新增：
-
-- runtime registry：runtime id、所属 workspace、所在机器、provider 能力、状态。
-- capability discovery：`claude` / `codex` / 其它 CLI 是否存在、版本、登录状态、执行隔离能力。
-- heartbeat / liveness：runtime 在线、忙闲、最后心跳、可用 slot。
-- task queue：enqueue、claim、start、progress、complete、fail、cancel。
-- workspace mapping：LangBot workspace / project 如何映射到 runtime 上的真实目录、仓库或挂载。
-- secret / env projection：按授权向 runtime 投影 token、代理、MCP 配置、技能和环境变量。
-- runtime audit：stdout、stderr、事件流、产物、失败原因、执行耗时、使用量。
-- control API / UI：选择 runtime、测试 runtime、查看状态、下线、取消任务、重试任务。
-
-## 4. 角色边界
-
-### 4.1 LangBot Host
-
-Host 是事实源和控制面内核：
-
-- 保存 runtime / task / heartbeat / audit 状态。
-- 做权限校验、资源裁剪、workspace 绑定和审计。
-- 决定任务是否可被某 runtime claim。
-- 将执行结果统一回写到 event / transcript / artifact / state。
-
-Host 不应内置具体 agent CLI 的复杂业务逻辑，也不应把某个官方 runner 的特殊行为提升为通用协议。
-
-### 4.2 Agent 管控面插件
-
-管理插件是 v2 control plane 的产品化管理层：
-
-- 展示 runtime、agent、task、进度、失败、审计。
-- 提供策略配置，例如默认 runtime、provider 偏好、并发限制、重试策略。
-- 触发 runtime 测试、任务取消、任务重试、手动分配。
-
-管理插件不应把 runtime/task 的事实源放进自己的 plugin storage。它应该调用 Host v2 API。
-
-### 4.3 Runtime daemon / worker
-
-Runtime daemon 负责真实执行：
-
-- 在所在机器上检测 CLI 和版本。
-- 管理工作目录、仓库、挂载、临时文件和进程。
-- 从 Host claim 任务，执行后上报 progress / complete / fail。
-- 将 stdout / stderr / artifacts / session id 回流 Host。
-
-Claude Code、Codex、OpenCode、Gemini CLI 等 provider 适配逻辑应主要落在 daemon / worker 或 provider adapter 中。
-
-## 5. 部署形态
-
-### 5.1 uv / local embedded
-
-用户用 `uv` 或源码直接启动 LangBot 时，LangBot 进程所在机器就是 runtime host。
-
-这种模式下可以直接检测用户主机上的 `claude`、`codex` 等 CLI，也可以直接 subprocess 执行。它适合个人开发和本地 smoke，但不应作为团队级管控面的唯一形态。
-
-### 5.2 Docker embedded
-
-用户用 Docker 启动 LangBot 时，runtime host 是容器，不是宿主机。
-
-因此：
-
-- 只能检测容器内的 `claude`、`codex`。
-- 只能使用容器内的 HOME、PATH、凭据和挂载目录。
-- 如果镜像未安装 CLI，或未挂载认证文件 / workspace，CLI runner 会不可用。
-
-Docker embedded 可以作为高级部署选项，但需要用户显式安装 CLI、挂载工作区和凭据。Host 不应假设 Docker 容器能自动访问宿主机 CLI。
-
-### 5.3 Sidecar daemon
-
-推荐的 v2 形态是 sidecar daemon：
-
-```text
-LangBot Host (Docker or server)
-  <-> Runtime daemon on user host / worker host
-        -> claude / codex / other CLI
-```
-
-这种模式下，LangBot 可以跑在 Docker 内，runtime daemon 跑在宿主机或独立 worker 机器上。daemon 负责检测本机 CLI、持有本机凭据和工作区访问能力。
-
-### 5.4 Remote runtime
-
-团队场景可以使用远端 runtime：
-
-- 开发机、构建机、云主机或专用 worker。
-- 多个 workspace 可绑定不同 runtime。
-- Host 只通过 registry / task queue / heartbeat / audit 进行管理。
-
-### 5.5 API-only agent
-
-Dify、n8n、Coze、DashScope 等 API 型 runner 不依赖本地 CLI。它们可以继续按 v1 直接执行，也可以在未来按需要接入 v2 task/audit。
-
-## 6. 与 Claude Code / Codex MVP runner 的关系
-
-当前 Claude Code / Codex runner 是 v1 runner：
-
-```text
-runner.run(ctx) -> subprocess("claude" / "codex")
-```
-
-它们适合验证 Host context 投影、state resume、result stream 和基础 CLI 调用，但有明确限制：
-
-- 命令只在 LangBot runtime host 上执行。
-- Docker 环境只能看到容器内 CLI。
-- 没有 runtime registry、heartbeat、task queue、cancel、workspace lifecycle。
-- 不提供发布级执行隔离、secret projection、团队级 audit。
-
-v2 不需要删除这些 runner。它们可以继续作为 dev / MVP 路径存在。未来若接入管控面，可以增加 runtime-managed 执行模式：
-
-```text
-runner binding -> Host task -> runtime daemon -> provider CLI -> Host result
-```
-
-## 7. 最小 v2 API 草案
-
-以下仅记录能力边界，不代表最终 API 命名。
-
-Runtime：
-
-- `runtime.register`
-- `runtime.heartbeat`
-- `runtime.list`
-- `runtime.get`
-- `runtime.disable`
-- `runtime.capabilities.report`
-- `runtime.capabilities.probe`
-
-Task：
-
-- `task.enqueue`
-- `task.claim`
-- `task.start`
-- `task.progress`
-- `task.complete`
-- `task.fail`
-- `task.cancel`
-- `task.retry`
-
-Workspace：
-
-- `runtime.workspace.bind`
-- `runtime.workspace.unbind`
-- `runtime.workspace.resolve`
-
-Audit / artifacts：
-
-- `task.log.append`
-- `task.artifact.create`
-- `task.events.page`
-
-这些 API 应由 Host 提供，并受 workspace、runtime、binding、actor 和 plugin identity 约束。
-
-## 8. 管控面插件可以构建的能力
-
-基于 v2 Host 能力，可以实现一个类似 Multica 的 agent 管控面插件：
-
-- runtime 列表、在线状态、CLI 能力、版本、认证状态。
-- agent profile 与 runtime/provider 绑定。
-- 任务看板、任务详情、进度流、失败原因、重试和取消。
-- workspace 到 runtime 目录 / 仓库的映射管理。
-- provider capability 测试，例如 Claude Code / Codex 是否可执行。
-- 审计视图：输入、输出、工具、artifact、stdout/stderr、session id。
-- 策略配置：并发、队列、默认 runtime、fallback runtime、权限模式。
-
-该插件应该是 Host v2 的消费者，而不是 Host v2 的替代品。
-
-## 9. 设计原则
-
-- v1 先稳定，v2 可选叠加。
-- Host 保存事实源，插件提供管理体验。
-- Runtime daemon 执行具体 CLI 和本机资源访问。
-- Docker 不假设拥有宿主机 CLI；需要 sidecar 或显式挂载。
-- Pipeline 不进入 v2 控制面中心。
-- 直接 subprocess runner 可保留，但只作为 local/dev/MVP 路径。
-- 发布级能力必须经过 Host 权限、审计和资源边界。
-
-## 10. 待定问题
-
-- runtime daemon 与 Host 的认证模型：workspace token、device token、还是 scoped PAT。
-- task 与 AgentRunner binding 的映射关系：由 binding 直接 enqueue，还是由独立 task policy 决定。
-- runtime capability schema 的稳定字段：provider、version、login status、execution isolation、workspace access、slot。
-- secret projection 的边界：Host 存储、用户本机存储、或外部 secret manager。
-- Docker compose 是否提供官方 sidecar daemon 示例。
-- v2 UI 是核心前端的一部分，还是完全由管理插件提供。

docs/agent-runner-pluginization/SECURITY_HARDENING.md

@@ -1,74 +0,0 @@
-# Agent Runner Security Hardening
-
-本文档记录 agent-runner 插件化进入生产发布前需要补齐的安全与稳定加固项。
-
-## 状态
-
-**当前结论：暂不塞进本阶段 agent-runner plugin 协议闭环。**
-
-本阶段目标是验证 LangBot 可以通过统一的 `run(event, binding)` 协议接入 `local-agent` 与外部 harness runner（如 Claude Code runner），并能传递事件、上下文、资源句柄、状态和结果流。
-
-安全发布级 hardening 是后续 release gate，不应阻塞当前协议闭环，但必须作为进入生产默认启用前的验收条件。
-
-> **硬规则**：能执行代码 / 访问工作目录的外部 harness runner（Claude Code、Codex、Kimi Code 等）在本文 Release Gate Checklist 完成前，**不得在生产环境默认启用**。本地 smoke 通过不等于可生产默认开启。
-
-## 责任边界
-
-### LangBot Host 负责
-
-- 资源授权：决定某个 `run_id` / binding 可以访问哪些模型、RAG、MCP、skill、artifact、history、state。
-- 资源投影：只把授权后的资源句柄、配置片段或上下文文件传给 runner。
-- 路径策略：限制 workspace / context file / artifact 的允许路径和清理策略。
-- Secret 策略：过滤环境变量、配置、日志和 transcript 中的 secret。
-- 运行约束：配置超时、轮次、并发、配额、输出大小和取消路径。
-- 审计记录：记录事件、绑定、资源授权、runner 调用、外部 harness session id、关键错误和结果摘要。
-
-### Runner Plugin 负责
-
-- 遵守 LangBot 下发的 Agent/runner config、授权资源和运行约束。
-- 将 LangBot 资源投影成目标 runner 可消费的形式，例如 context 文件、MCP 配置、环境变量或 CLI 参数。
-- 不把长期状态保存在插件实例内；需要跨轮次保存的外部 session id / working directory 等状态应写入 host-owned state。
-- 对外部进程做最小必要封装，包括命令参数构造、超时、取消、输出解析和错误映射。
-
-### 外部 Harness 负责
-
-Claude Code、Codex、Kimi Code 等外部 harness 可以继续使用自身的权限模型、工具 allow / deny 规则、MCP 加载策略、session/resume 机制和沙箱能力。
-
-但外部 harness 不是 LangBot 的唯一安全边界。LangBot 仍必须在调用前完成资源授权、路径限制、secret 过滤和审计记录。
-
-## 当前 MVP 可接受边界
-
-当前阶段可以接受以下前提：
-
-- 由可信管理员配置 runner binding。
-- 工作目录和 context 输出目录为显式配置或 host 生成路径。
-- 外部 runner 默认使用保守权限，例如 plan / no-write 模式或禁用高风险工具。
-- 通过 timeout、max turns、输出长度和进程取消降低失控风险。
-- 通过 host-owned state 保存 `external.session_id`、`external.working_directory` 等 resume 所需指针。
-
-这些前提足够做本地 E2E 与协议验收，不等同于生产发布完成。
-
-## Release Gate Checklist
-
-进入生产默认启用前，需要补齐：
-
-- Path isolation：workspace allowlist、路径规范化、防止 `..` 逃逸、context / artifact 清理。
-- Permission boundary：runner 能力声明、binding 级资源授权、run 级权限校验。
-- Secret handling：环境变量白名单、配置脱敏、日志和 transcript redaction。
-- MCP policy：MCP server allowlist、scoped token、tool allow / deny、危险工具审计。
-- Skill projection policy：skill 来源验证、只读投影、版本和摘要记录。
-- Process isolation：进程组管理、取消、超时、CPU / 内存 / 输出配额。
-- State lifecycle：session id、workspace、artifact 的过期、清理、迁移和审计。
-- Audit first-class：事件、资源授权、外部命令、session id、结果摘要可追踪。
-- UI / Admin control：管理员能看到 runner 权限、风险提示、资源绑定和禁用入口。
-- Test matrix：路径逃逸、secret 泄漏、权限拒绝、timeout、取消、MCP deny、resume、cleanup、audit 完整性。
-
-## 非当前范围
-
-以下内容不属于本阶段协议闭环：
-
-- 完整异步队列与 issue-centric 产品模型。
-- 复杂 workflow engine。
-- Codex / Kimi runner 全量接入。
-- EBA 分支完整迁移和联调。
-- 发布级安全 hardening 的完整实现。

docs/event-based-agents/00-overview.md

@@ -0,0 +1,197 @@
+# Event Based Agents 架构设计总览
+
+## 1. 背景与动机
+
+### 当前架构的局限性
+
+LangBot 当前的平台适配器架构围绕**消息事件**单一场景设计：
+
+- **事件层面**：只监听 `FriendMessage`（私聊消息）和 `GroupMessage`（群消息）两种事件
+- **API 层面**：只暴露 `send_message` 和 `reply_message` 两个平台 API
+- **处理层面**：所有消息统一进入 Pipeline 流水线处理，无法为不同事件类型配置不同处理逻辑
+- **适配器结构**：每个适配器是单个 Python 文件（200-800 行），随着功能增加难以维护
+
+这导致以下问题：
+
+1. **无法处理非消息事件**：新成员入群、好友请求、消息撤回、消息编辑等大部分平台都支持的事件被完全忽略
+2. **平台能力未充分利用**：编辑消息、撤回消息、获取群成员列表、管理群组等 API 无法使用
+3. **插件能力受限**：插件只能监听消息事件、只能发送/回复消息，无法实现更丰富的交互
+4. **处理逻辑不灵活**：所有消息走同一条 Pipeline，无法为入群欢迎、好友自动通过等场景配置独立的处理流程
+
+### 设计目标
+
+Event Based Agents（EBA）架构旨在将 LangBot 从"消息处理平台"升级为"事件驱动的智能代理平台"：
+
+- **丰富事件**：支持消息、群组、好友、Bot 状态等多种事件类型
+- **丰富 API**：支持消息编辑/撤回、群组管理、用户信息查询等通用 API，以及适配器特有 API 的透传调用
+- **灵活编排**：用户可在 WebUI 上为每个 Bot 的每种事件类型配置不同的处理器
+- **可扩展**：适配器可声明自己支持的事件和 API，平台特有能力通过标准机制暴露
+- **向后兼容**：现有插件无需修改即可在新架构下运行
+
+## 2. 架构对比
+
+### 现有架构
+
+```
+消息平台 (Telegram/Discord/...)
+    │
+    ▼
+平台适配器 (单文件, 只处理消息)
+    │ FriendMessage / GroupMessage
+    ▼
+RuntimeBot (注册 on_friend_message / on_group_message 回调)
+    │
+    ▼
+MessageAggregator (消息聚合)
+    │
+    ▼
+QueryPool → Controller → Pipeline (固定阶段链)
+    │                         │
+    │                         ▼
+    │                    RequestRunner (local-agent / dify / n8n / ...)
+    │
+    ▼
+adapter.reply_message() / adapter.send_message()
+```
+
+关键代码路径：
+- 适配器基类：`langbot-plugin-sdk/.../abstract/platform/adapter.py` — `AbstractMessagePlatformAdapter`
+- 事件定义：`langbot-plugin-sdk/.../builtin/platform/events.py` — 仅 `FriendMessage` / `GroupMessage`
+- Bot 管理：`LangBot/src/langbot/pkg/platform/botmgr.py` — `RuntimeBot` 只注册两个消息回调
+- 流水线控制：`LangBot/src/langbot/pkg/pipeline/controller.py` — 从 QueryPool 消费并执行 Pipeline
+
+### 新架构（Event Based Agents）
+
+```
+消息平台 (Telegram/Discord/...)
+    │
+    ▼
+平台适配器 (独立目录, 监听所有事件, 实现丰富 API)
+    │ MessageReceived / MemberJoined / FriendRequest / ...
+    ▼
+EventBus (统一事件总线)
+    │
+    ▼
+EventRouter (事件路由引擎, 读取 Bot 的 event_handlers 配置)
+    │
+    ├─→ PipelineHandler   — 现有流水线（完整 Stage 链）
+    ├─→ AgentHandler      — 直接调用 RequestRunner（轻量 AI 处理）
+    ├─→ WebhookHandler    — POST 到外部服务（Dify/n8n webhook 等）
+    └─→ PluginHandler     — 分发给插件 EventListener
+    │
+    ▼
+统一平台 API
+  send / reply / edit / delete / getGroupInfo / getUserInfo / callPlatformApi / ...
+```
+
+## 3. 核心概念
+
+### 3.1 统一事件体系
+
+所有平台事件统一为命名空间式的事件类型：
+
+| 命名空间 | 事件 | 说明 |
+|----------|------|------|
+| `message.*` | `message.received`, `message.edited`, `message.deleted`, `message.reaction` | 消息相关 |
+| `feedback.*` | `feedback.received` | 用户对 Bot 回复的点赞、点踩、取消反馈等评价事件 |
+| `group.*` | `group.member_joined`, `group.member_left`, `group.member_banned`, `group.info_updated` | 群组相关 |
+| `friend.*` | `friend.request_received`, `friend.added`, `friend.removed` | 好友相关 |
+| `bot.*` | `bot.invited_to_group`, `bot.removed_from_group`, `bot.muted`, `bot.unmuted` | Bot 状态 |
+| `platform.*` | `platform.{adapter}.{action}` | 适配器特有事件 |
+
+详见 [01-event-system.md](./01-event-system.md)。
+
+### 3.2 统一平台 API
+
+扩展适配器基类，提供通用 API + 透传机制：
+
+| 类别 | API | 必需/可选 |
+|------|-----|----------|
+| 消息 | `send_message`, `reply_message`, `edit_message`, `delete_message`, `forward_message` | send/reply 必需，其余可选 |
+| 群组 | `get_group_info`, `get_group_member_list`, `get_group_member_info`, `mute_member`, `kick_member` | 全部可选 |
+| 用户 | `get_user_info`, `get_friend_list` | 全部可选 |
+| 媒体 | `upload_file`, `get_file_url` | 全部可选 |
+| 透传 | `call_platform_api(action, params)` | 可选 |
+
+详见 [02-platform-api.md](./02-platform-api.md)。
+
+### 3.3 适配器新结构
+
+每个适配器从单文件迁移到独立目录：
+
+```
+pkg/platform/adapters/
+├── _base/                    # 基类和通用定义
+│   ├── adapter.py
+│   ├── events.py
+│   ├── entities.py
+│   └── api.py
+├── telegram/
+│   ├── __init__.py
+│   ├── adapter.py            # 主适配器类
+│   ├── event_converter.py    # 事件转换（多种事件类型）
+│   ├── message_converter.py  # 消息链转换
+│   ├── api_impl.py           # 通用 API 实现
+│   ├── platform_api.py       # 平台特有 API
+│   ├── types.py              # 平台特有类型
+│   └── manifest.yaml
+├── discord/
+│   └── ...
+```
+
+详见 [03-adapter-structure.md](./03-adapter-structure.md)。
+
+### 3.4 事件处理器（Event Handler）
+
+四种处理器类型，用户在 WebUI 的 Bot 管理页面配置：
+
+| 类型 | 说明 | 适用场景 |
+|------|------|----------|
+| **pipeline** | 现有流水线机制，完整的多 Stage 处理链（PreProcessor → MessageProcessor → PostProcessor 等） | 复杂消息处理，需要完整的预处理/后处理流程 |
+| **agent** | 直接调用 RequestRunner（local-agent / dify / n8n / coze / dashscope / langflow / tbox），从 Pipeline 中解耦 | 轻量级 AI 处理、直接对接外部 LLMOps 平台处理各类事件 |
+| **webhook** | 将事件 POST 到外部 URL，根据响应执行动作 | 对接自建服务、Dify/n8n 的 Webhook 触发器、自定义后端 |
+| **plugin** | 分发给插件 EventListener 处理 | 插件自定义逻辑 |
+
+配置存储在 Bot 表的 `event_handlers` JSON 字段中，通过 WebUI 编排面板管理。
+
+详见 [04-event-routing.md](./04-event-routing.md)。
+
+### 3.5 插件 SDK 改造
+
+- 新事件类型全部暴露给插件
+- 新 API 全部通过 `LangBotAPIProxy` 暴露
+- 兼容层保证现有插件零修改运行
+
+详见 [05-plugin-sdk.md](./05-plugin-sdk.md)。
+
+## 4. 关键设计决策
+
+| # | 决策点 | 选择 | 理由 |
+|---|--------|------|------|
+| 1 | 事件处理器配置粒度 | 每个 Bot 独立配置 | Bot 是用户操作的核心单元，不同 Bot 可能对接不同业务场景 |
+| 2 | 适配器特有 API | 统一抽象 + `call_platform_api` 透传 | 通用 API 覆盖大部分场景，透传机制保证灵活性，避免每个适配器导出独立的类型化 API 包 |
+| 3 | 向后兼容策略 | 兼容层适配 | 保留旧事件类型和 API 作为新系统的 alias/wrapper，现有插件无需修改 |
+| 4 | 处理器配置存储 | Bot 表新增 `event_handlers` JSON 字段 | 简单直接，避免新增关联表；替代现有 `use_pipeline_uuid` |
+| 5 | Agent 处理器定位 | 从 Pipeline 中解耦 RequestRunner | 不是所有事件都需要完整 Pipeline Stage 链；Agent 处理器提供轻量级 AI 处理路径，支持所有现有 Runner |
+| 6 | 事件命名方式 | 命名空间式（`message.received`） | 清晰的分类层级，便于通配匹配（`message.*`），与 WebUI 配置天然对应 |
+
+## 5. 文档索引
+
+| 文档 | 内容 |
+|------|------|
+| [01-event-system.md](./01-event-system.md) | 统一事件体系：事件分类、定义、生命周期 |
+| [02-platform-api.md](./02-platform-api.md) | 统一平台 API：通用 API、透传 API、实体定义 |
+| [03-adapter-structure.md](./03-adapter-structure.md) | 适配器新结构：目录布局、基类、注册机制 |
+| [04-event-routing.md](./04-event-routing.md) | 事件路由与编排：路由引擎、处理器类型、WebUI 数据模型 |
+| [05-plugin-sdk.md](./05-plugin-sdk.md) | 插件 SDK 改造：新事件/API、兼容层 |
+| [06-migration-plan.md](./06-migration-plan.md) | 分阶段迁移计划 |
+
+## 6. 涉及的代码仓库
+
+| 仓库 | 改动范围 |
+|------|----------|
+| **langbot-plugin-sdk** | 事件定义、实体模型、API 接口、适配器基类、通信协议扩展 |
+| **LangBot**（后端） | 适配器实现、事件路由引擎、Bot 实体扩展、数据库迁移、RequestRunner 解耦 |
+| **LangBot**（前端） | Bot 事件处理器编排面板 |
+| **langbot-wiki** | 新架构文档、插件开发指南更新、适配器开发指南 |
+| **langbot-plugin-demo** | 示例更新（使用新事件和 API） |

docs/event-based-agents/01-event-system.md

@@ -0,0 +1,561 @@
+# 统一事件体系
+
+## 1. 设计原则
+
+- **命名空间分类**：事件类型采用 `{namespace}.{action}` 格式，如 `message.received`
+- **通用优先**：大部分平台都支持的事件抽象为通用事件，定义统一的字段格式
+- **平台特有事件标准化**：各适配器的独有事件通过 `PlatformSpecificEvent` 承载，保留原始数据
+- **向后兼容**：现有 `FriendMessage` / `GroupMessage` 通过兼容层映射到新的 `message.received` 事件
+
+## 2. 事件基类层次
+
+```
+Event (事件基类)
+├── MessageEvent (消息相关事件)
+│   ├── MessageReceivedEvent       # message.received
+│   ├── MessageEditedEvent         # message.edited
+│   ├── MessageDeletedEvent        # message.deleted
+│   └── MessageReactionEvent       # message.reaction
+├── FeedbackEvent (用户反馈事件)
+│   └── FeedbackReceivedEvent      # feedback.received
+├── GroupEvent (群组相关事件)
+│   ├── MemberJoinedEvent          # group.member_joined
+│   ├── MemberLeftEvent            # group.member_left
+│   ├── MemberBannedEvent          # group.member_banned
+│   ├── MemberUnbannedEvent        # group.member_unbanned
+│   └── GroupInfoUpdatedEvent      # group.info_updated
+├── FriendEvent (好友相关事件)
+│   ├── FriendRequestReceivedEvent # friend.request_received
+│   ├── FriendAddedEvent           # friend.added
+│   └── FriendRemovedEvent         # friend.removed
+├── BotEvent (Bot 状态事件)
+│   ├── BotInvitedToGroupEvent     # bot.invited_to_group
+│   ├── BotRemovedFromGroupEvent   # bot.removed_from_group
+│   ├── BotMutedEvent              # bot.muted
+│   └── BotUnmutedEvent            # bot.unmuted
+└── PlatformSpecificEvent          # platform.{adapter}.{action}
+```
+
+## 3. 通用事件定义
+
+### 3.1 事件基类
+
+```python
+class Event(pydantic.BaseModel):
+    """事件基类"""
+
+    type: str
+    """事件类型标识，如 'message.received'"""
+
+    timestamp: float
+    """事件发生的时间戳"""
+
+    bot_uuid: str
+    """接收到此事件的 Bot UUID"""
+
+    adapter_name: str
+    """产生此事件的适配器名称"""
+
+    source_platform_object: typing.Optional[typing.Any] = None
+    """原始平台事件对象，供适配器内部使用"""
+```
+
+### 3.2 消息事件
+
+#### MessageReceivedEvent (`message.received`)
+
+收到新消息。这是最核心的事件，替代现有的 `FriendMessage` / `GroupMessage`。
+
+```python
+class MessageReceivedEvent(Event):
+    """收到新消息"""
+
+    type: str = "message.received"
+
+    message_id: typing.Union[int, str]
+    """消息 ID"""
+
+    message_chain: MessageChain
+    """消息内容"""
+
+    sender: User
+    """发送者"""
+
+    chat_type: ChatType  # "private" | "group"
+    """会话类型"""
+
+    chat_id: typing.Union[int, str]
+    """会话 ID（私聊为对方用户 ID，群聊为群 ID）"""
+
+    group: typing.Optional[Group] = None
+    """群信息（仅群聊时存在）"""
+```
+
+与现有类型的映射关系：
+- `chat_type == "private"` → 等价于现有 `FriendMessage`
+- `chat_type == "group"` → 等价于现有 `GroupMessage`
+
+`ChatType` 枚举：
+
+```python
+class ChatType(str, Enum):
+    PRIVATE = "private"
+    GROUP = "group"
+```
+
+#### MessageEditedEvent (`message.edited`)
+
+消息被编辑。
+
+```python
+class MessageEditedEvent(Event):
+    """消息被编辑"""
+
+    type: str = "message.edited"
+
+    message_id: typing.Union[int, str]
+    """被编辑的消息 ID"""
+
+    new_content: MessageChain
+    """编辑后的新内容"""
+
+    editor: User
+    """编辑者"""
+
+    chat_type: ChatType
+    chat_id: typing.Union[int, str]
+    group: typing.Optional[Group] = None
+```
+
+#### MessageDeletedEvent (`message.deleted`)
+
+消息被删除/撤回。
+
+```python
+class MessageDeletedEvent(Event):
+    """消息被删除/撤回"""
+
+    type: str = "message.deleted"
+
+    message_id: typing.Union[int, str]
+    """被删除的消息 ID"""
+
+    operator: typing.Optional[User] = None
+    """操作者（可能是发送者自己撤回，也可能是管理员删除）"""
+
+    chat_type: ChatType
+    chat_id: typing.Union[int, str]
+    group: typing.Optional[Group] = None
+```
+
+#### MessageReactionEvent (`message.reaction`)
+
+消息收到表情回应。
+
+```python
+class MessageReactionEvent(Event):
+    """消息收到表情回应"""
+
+    type: str = "message.reaction"
+
+    message_id: typing.Union[int, str]
+    """被回应的消息 ID"""
+
+    user: User
+    """回应者"""
+
+    reaction: str
+    """回应的表情标识（emoji 或平台特定表情 ID）"""
+
+    is_add: bool
+    """True 为添加回应，False 为移除回应"""
+
+    chat_type: ChatType
+    chat_id: typing.Union[int, str]
+    group: typing.Optional[Group] = None
+```
+
+### 3.3 用户反馈事件
+
+#### FeedbackReceivedEvent (`feedback.received`)
+
+用户对 Bot 回复提交反馈。该事件用于承载平台提供的点赞、点踩、取消反馈以及点踩原因等评价信息；典型来源包括企业微信 AI Bot 的 `feedback_event`、飞书卡片按钮回调、Web Embed 的反馈入口等。
+
+```python
+class FeedbackReceivedEvent(Event):
+    """收到用户反馈"""
+
+    type: str = "feedback.received"
+
+    feedback_id: str
+    """平台侧反馈 ID，用于幂等记录或取消反馈"""
+
+    feedback_type: int
+    """1 = like, 2 = dislike, 3 = cancel/remove feedback"""
+
+    feedback_content: typing.Optional[str] = None
+    """用户填写的自由文本反馈"""
+
+    inaccurate_reasons: typing.Optional[list[str]] = None
+    """点踩时平台提供的预设不准确原因"""
+
+    user_id: typing.Optional[str] = None
+    """提交反馈的用户 ID"""
+
+    session_id: typing.Optional[str] = None
+    """会话 ID，例如 person_xxx 或 group_xxx"""
+
+    message_id: typing.Optional[str] = None
+    """被评价的 Bot 回复消息 ID"""
+
+    stream_id: typing.Optional[str] = None
+    """流式回复 ID，用于关联 streaming response"""
+```
+
+设计约定：
+
+- `feedback_id` 是幂等键；同一个 `feedback_id` 的后续事件应更新已有记录。
+- `feedback_type == 3` 表示用户取消/移除反馈，处理器可删除对应记录或标记为取消。
+- 如果平台只能给出原始回调 payload，差异字段保留在 `source_platform_object` 或 `PlatformSpecificEvent.data` 中；通用字段仍优先映射到 `FeedbackReceivedEvent`。
+- 该事件保留向后兼容映射：EBA 事件可转换为旧的 `FeedbackEvent`，字段语义保持一致。
+
+### 3.4 群组事件
+
+#### MemberJoinedEvent (`group.member_joined`)
+
+新成员加入群组。
+
+```python
+class MemberJoinedEvent(Event):
+    """新成员加入群组"""
+
+    type: str = "group.member_joined"
+
+    group: Group
+    """群组"""
+
+    member: User
+    """加入的成员"""
+
+    inviter: typing.Optional[User] = None
+    """邀请者（如有）"""
+
+    join_type: typing.Optional[str] = None
+    """加入方式：'invite' / 'request' / 'direct' / None"""
+```
+
+#### MemberLeftEvent (`group.member_left`)
+
+成员离开群组。
+
+```python
+class MemberLeftEvent(Event):
+    """成员离开群组"""
+
+    type: str = "group.member_left"
+
+    group: Group
+    member: User
+
+    is_kicked: bool = False
+    """是否被踢出"""
+
+    operator: typing.Optional[User] = None
+    """操作者（踢出时为管理员）"""
+```
+
+#### MemberBannedEvent (`group.member_banned`)
+
+成员被禁言。
+
+```python
+class MemberBannedEvent(Event):
+    """成员被禁言"""
+
+    type: str = "group.member_banned"
+
+    group: Group
+    member: User
+    operator: typing.Optional[User] = None
+    duration: typing.Optional[int] = None
+    """禁言时长（秒），None 表示永久"""
+```
+
+#### MemberUnbannedEvent (`group.member_unbanned`)
+
+成员被解除禁言。
+
+```python
+class MemberUnbannedEvent(Event):
+    """成员被解除禁言"""
+
+    type: str = "group.member_unbanned"
+
+    group: Group
+    member: User
+    operator: typing.Optional[User] = None
+```
+
+#### GroupInfoUpdatedEvent (`group.info_updated`)
+
+群组信息被修改。
+
+```python
+class GroupInfoUpdatedEvent(Event):
+    """群组信息被修改"""
+
+    type: str = "group.info_updated"
+
+    group: Group
+    """更新后的群组信息"""
+
+    operator: typing.Optional[User] = None
+    """操作者"""
+
+    changed_fields: list[str] = []
+    """发生变更的字段名列表，如 ['name', 'description']"""
+```
+
+### 3.5 好友事件
+
+#### FriendRequestReceivedEvent (`friend.request_received`)
+
+收到好友请求。
+
+```python
+class FriendRequestReceivedEvent(Event):
+    """收到好友请求"""
+
+    type: str = "friend.request_received"
+
+    request_id: typing.Union[int, str]
+    """请求 ID，用于后续 approve/reject 操作"""
+
+    user: User
+    """请求者"""
+
+    message: typing.Optional[str] = None
+    """验证消息"""
+```
+
+#### FriendAddedEvent (`friend.added`)
+
+成功添加好友。
+
+```python
+class FriendAddedEvent(Event):
+    """成功添加好友"""
+
+    type: str = "friend.added"
+
+    user: User
+    """新好友"""
+```
+
+#### FriendRemovedEvent (`friend.removed`)
+
+好友被移除。
+
+```python
+class FriendRemovedEvent(Event):
+    """好友被移除"""
+
+    type: str = "friend.removed"
+
+    user: User
+    """被移除的好友"""
+```
+
+### 3.6 Bot 状态事件
+
+#### BotInvitedToGroupEvent (`bot.invited_to_group`)
+
+Bot 被邀请加入群组。
+
+```python
+class BotInvitedToGroupEvent(Event):
+    """Bot 被邀请加入群组"""
+
+    type: str = "bot.invited_to_group"
+
+    group: Group
+    inviter: typing.Optional[User] = None
+
+    request_id: typing.Optional[typing.Union[int, str]] = None
+    """邀请请求 ID，某些平台需要 Bot 确认才加入"""
+```
+
+#### BotRemovedFromGroupEvent (`bot.removed_from_group`)
+
+Bot 被移出群组。
+
+```python
+class BotRemovedFromGroupEvent(Event):
+    """Bot 被移出群组"""
+
+    type: str = "bot.removed_from_group"
+
+    group: Group
+    operator: typing.Optional[User] = None
+```
+
+#### BotMutedEvent / BotUnmutedEvent (`bot.muted` / `bot.unmuted`)
+
+Bot 被禁言/解除禁言。
+
+```python
+class BotMutedEvent(Event):
+    """Bot 被禁言"""
+
+    type: str = "bot.muted"
+
+    group: Group
+    operator: typing.Optional[User] = None
+    duration: typing.Optional[int] = None
+
+
+class BotUnmutedEvent(Event):
+    """Bot 被解除禁言"""
+
+    type: str = "bot.unmuted"
+
+    group: Group
+    operator: typing.Optional[User] = None
+```
+
+### 3.7 平台特有事件
+
+对于无法抽象为通用事件的平台特有事件，使用统一的 `PlatformSpecificEvent` 承载：
+
+```python
+class PlatformSpecificEvent(Event):
+    """平台特有事件
+
+    适配器无法映射到通用事件类型时，使用此类型承载。
+    插件可以通过 adapter_name + action 来识别和处理。
+    """
+
+    type: str = "platform.specific"
+
+    action: str
+    """平台特有的事件动作标识，如 'channel_created', 'pin_message'"""
+
+    data: dict = {}
+    """事件数据，结构由具体适配器定义"""
+```
+
+事件类型字符串格式为 `platform.{adapter_name}.{action}`，例如：
+- `platform.telegram.chat_member_updated` — Telegram 的群成员信息更新
+- `platform.discord.channel_created` — Discord 的频道创建
+- `platform.discord.voice_state_update` — Discord 的语音状态变更
+- `platform.slack.app_home_opened` — Slack 的 App Home 打开
+
+## 4. 各平台事件支持矩阵
+
+下表标注各通用事件在主要平台上的支持情况：
+
+| 事件 | Telegram | Discord | OneBot(QQ) | 飞书 | 钉钉 | Slack | 微信 | LINE | KOOK |
+|------|----------|---------|-----------|------|------|-------|------|------|------|
+| `message.received` | Y | Y | Y | Y | Y | Y | Y | Y | Y |
+| `message.edited` | Y | Y | N | Y | N | Y | N | N | Y |
+| `message.deleted` | Y | Y | Y | Y | N | Y | Y | N | Y |
+| `message.reaction` | Y | Y | Y | Y | Y | Y | N | N | Y |
+| `feedback.received` | N | N | N | Y | N | N | Y | N | N |
+| `group.member_joined` | Y | Y | Y | Y | Y | Y | Y | Y | Y |
+| `group.member_left` | Y | Y | Y | Y | Y | Y | Y | Y | Y |
+| `group.member_banned` | Y | Y | Y | N | N | N | N | N | N |
+| `group.info_updated` | Y | Y | Y | Y | Y | Y | N | N | Y |
+| `friend.request_received` | N | Y | Y | N | N | N | Y | Y | Y |
+| `friend.added` | N | Y | Y | N | N | N | Y | Y | N |
+| `bot.invited_to_group` | Y | Y | Y | Y | Y | Y | Y | N | Y |
+| `bot.removed_from_group` | Y | Y | Y | Y | N | N | Y | N | Y |
+| `bot.muted` | Y | N | Y | N | N | N | N | N | N |
+| `bot.unmuted` | Y | N | Y | N | N | N | N | N | N |
+| `platform.specific` | Y | Y | Y | Y | Y | Y | Y | Y | Y |
+
+> 注：此表为初步评估，具体以各平台 SDK/API 文档为准，实施时逐个确认。
+
+## 5. 事件生命周期
+
+```
+1. 平台 SDK 回调触发
+      │
+2. 适配器 EventConverter.target2yiri(raw_event)
+      │  将平台原生事件转换为统一 Event 对象
+      │  无法映射的事件 → PlatformSpecificEvent
+      │
+3. 适配器回调注册的 listener(event, adapter)
+      │
+4. RuntimeBot 接收事件
+      │
+5. EventBus 分发
+      │
+6. EventRouter 查询 Bot 的 event_handlers 配置
+      │  匹配事件类型 → 找到对应的 Handler
+      │  支持通配符：'message.*' 匹配所有消息事件
+      │  未匹配到 → 走默认 Handler（plugin，保持向后兼容）
+      │
+7. Handler 处理事件
+      │  PipelineHandler → 进入 Pipeline 流水线
+      │  AgentHandler    → 调用 RequestRunner
+      │  WebhookHandler  → POST 到外部 URL
+      │  PluginHandler   → 分发给插件 EventListener
+      │
+8. Handler 执行完毕，可能通过 API 执行响应动作
+      （发消息、编辑消息、踢人、同意好友请求等）
+```
+
+## 6. 与现有事件类型的兼容映射
+
+为保证现有插件不受影响，建立以下映射关系：
+
+| 新事件 | 条件 | 旧事件 |
+|--------|------|--------|
+| `MessageReceivedEvent` (chat_type=private) | — | `FriendMessage` |
+| `MessageReceivedEvent` (chat_type=group) | — | `GroupMessage` |
+
+在插件 SDK 层面：
+
+| 新事件 | 旧插件事件 |
+|--------|-----------|
+| `MessageReceivedEvent` (chat_type=private, 非命令) | `PersonNormalMessageReceived` |
+| `MessageReceivedEvent` (chat_type=group, 非命令) | `GroupNormalMessageReceived` |
+| `MessageReceivedEvent` (chat_type=private, 命令) | `PersonCommandSent` |
+| `MessageReceivedEvent` (chat_type=group, 命令) | `GroupCommandSent` |
+| `MessageReceivedEvent` (处理完毕后) | `NormalMessageResponded` |
+
+兼容层在事件分发给插件 EventListener 时自动生成旧格式事件，确保监听旧事件类型的插件仍能正常工作。
+
+## 7. 事件类型注册表
+
+适配器在 manifest.yaml 中声明自己支持的事件类型：
+
+```yaml
+kind: MessagePlatformAdapter
+metadata:
+  name: telegram
+spec:
+  supported_events:
+    - message.received
+    - message.edited
+    - message.deleted
+    - message.reaction
+    - feedback.received
+    - group.member_joined
+    - group.member_left
+    - group.member_banned
+    - group.info_updated
+    - bot.invited_to_group
+    - bot.removed_from_group
+    - bot.muted
+    - bot.unmuted
+    - platform.specific
+  platform_specific_events:
+    - chat_member_updated
+    - chat_join_request
+```
+
+这份声明用于：
+1. WebUI 在配置事件处理器时，只显示当前 Bot 的适配器支持的事件类型
+2. EventRouter 在路由时校验事件类型有效性
+3. 文档自动生成

docs/event-based-agents/02-platform-api.md

@@ -0,0 +1,546 @@
+# 统一平台 API 与实体定义
+
+## 1. 设计原则
+
+- **通用 API 抽象**：大部分平台都支持的操作（发消息、获取群信息等）定义为通用 API 方法
+- **required / optional 标记**：每个 API 标记为必需或可选，适配器未实现可选 API 时抛出 `NotSupportedError`
+- **透传机制**：适配器特有的操作通过 `call_platform_api(action, params)` 统一入口透传调用
+- **能力声明**：适配器在 manifest 中声明自己支持的 API 列表，供 WebUI 和插件查询
+- **实体统一**：通用实体（User、Group 等）在 SDK 层面统一定义，适配器负责转换
+
+## 2. 通用实体定义
+
+### 2.1 现有实体回顾
+
+当前 SDK 已有以下实体（`langbot_plugin/api/entities/builtin/platform/entities.py`）：
+
+```python
+Entity(id)
+├── Friend(id, nickname, remark)
+├── Group(id, name, permission)
+└── GroupMember(id, member_name, permission, group, special_title)
+```
+
+### 2.2 新实体设计
+
+扩展实体体系，保持向后兼容：
+
+```python
+class User(pydantic.BaseModel):
+    """用户实体（统一表示）"""
+
+    id: typing.Union[int, str]
+    """用户 ID"""
+
+    nickname: str = ""
+    """昵称"""
+
+    avatar_url: typing.Optional[str] = None
+    """头像 URL"""
+
+    is_bot: bool = False
+    """是否为 Bot"""
+
+    # 以下为可选的扩展信息，不同平台可能部分为空
+    username: typing.Optional[str] = None
+    """用户名（如 Telegram 的 @username）"""
+
+    remark: typing.Optional[str] = None
+    """备注名"""
+
+
+class Group(pydantic.BaseModel):
+    """群组实体"""
+
+    id: typing.Union[int, str]
+    """群组 ID"""
+
+    name: str = ""
+    """群组名称"""
+
+    description: typing.Optional[str] = None
+    """群组描述"""
+
+    member_count: typing.Optional[int] = None
+    """成员数量"""
+
+    avatar_url: typing.Optional[str] = None
+    """群组头像 URL"""
+
+    owner_id: typing.Optional[typing.Union[int, str]] = None
+    """群主 ID"""
+
+
+class GroupMember(pydantic.BaseModel):
+    """群成员实体"""
+
+    user: User
+    """用户信息"""
+
+    group_id: typing.Union[int, str]
+    """所属群组 ID"""
+
+    role: MemberRole
+    """群内角色"""
+
+    display_name: typing.Optional[str] = None
+    """群内显示名"""
+
+    joined_at: typing.Optional[float] = None
+    """加入群组的时间戳"""
+
+    title: typing.Optional[str] = None
+    """群头衔/特殊称号"""
+
+
+class MemberRole(str, Enum):
+    """群成员角色"""
+    OWNER = "owner"
+    ADMIN = "admin"
+    MEMBER = "member"
+```
+
+### 2.3 与现有实体的兼容映射
+
+| 新实体 | 旧实体 | 映射方式 |
+|--------|--------|----------|
+| `User` | `Friend` | `User(id=friend.id, nickname=friend.nickname, remark=friend.remark)` |
+| `Group` | `Group`（旧） | `Group(id=old.id, name=old.name)` + `permission` 字段弃用 |
+| `GroupMember` | `GroupMember`（旧） | `GroupMember(user=User(...), role=..., display_name=old.member_name)` |
+| `MemberRole` | `Permission` | `OWNER↔Owner`, `ADMIN↔Administrator`, `MEMBER↔Member` |
+
+旧实体类保留，标记为 `@deprecated`，内部通过转换方法桥接到新实体。
+
+## 3. 通用 API 定义
+
+### 3.1 API 方法一览
+
+#### 消息 API
+
+| 方法 | 必需/可选 | 说明 |
+|------|----------|------|
+| `send_message(target_type, target_id, message)` | **必需** | 主动发送消息 |
+| `reply_message(event, message, quote_origin)` | **必需** | 回复一个消息事件 |
+| `edit_message(chat_type, chat_id, message_id, new_content)` | 可选 | 编辑已发送的消息 |
+| `delete_message(chat_type, chat_id, message_id)` | 可选 | 删除/撤回消息 |
+| `forward_message(from_chat, message_id, to_chat_type, to_chat_id)` | 可选 | 转发消息到另一个会话 |
+| `get_message(chat_type, chat_id, message_id)` | 可选 | 获取指定消息的内容 |
+
+#### 群组 API
+
+| 方法 | 必需/可选 | 说明 |
+|------|----------|------|
+| `get_group_info(group_id)` | 可选 | 获取群组信息 |
+| `get_group_list()` | 可选 | 获取 Bot 加入的群组列表 |
+| `get_group_member_list(group_id)` | 可选 | 获取群成员列表 |
+| `get_group_member_info(group_id, user_id)` | 可选 | 获取指定群成员信息 |
+| `set_group_name(group_id, name)` | 可选 | 修改群名称 |
+| `mute_member(group_id, user_id, duration)` | 可选 | 禁言群成员 |
+| `unmute_member(group_id, user_id)` | 可选 | 解除禁言 |
+| `kick_member(group_id, user_id)` | 可选 | 踢出群成员 |
+| `leave_group(group_id)` | 可选 | Bot 退出群组 |
+
+#### 用户 API
+
+| 方法 | 必需/可选 | 说明 |
+|------|----------|------|
+| `get_user_info(user_id)` | 可选 | 获取用户信息 |
+| `get_friend_list()` | 可选 | 获取好友列表 |
+| `approve_friend_request(request_id, approve, remark)` | 可选 | 处理好友请求 |
+| `approve_group_invite(request_id, approve)` | 可选 | 处理入群邀请 |
+
+#### 媒体 API
+
+| 方法 | 必需/可选 | 说明 |
+|------|----------|------|
+| `upload_file(file_data, filename)` | 可选 | 上传文件，返回可引用的文件 ID 或 URL |
+| `get_file_url(file_id)` | 可选 | 获取文件下载 URL |
+
+#### 透传 API
+
+| 方法 | 必需/可选 | 说明 |
+|------|----------|------|
+| `call_platform_api(action, params)` | 可选 | 调用适配器特有 API |
+
+### 3.2 API 方法签名详解
+
+```python
+class AbstractPlatformAdapter(pydantic.BaseModel, metaclass=abc.ABCMeta):
+    """平台适配器基类（新版）"""
+
+    # ======== 必需方法 ========
+
+    @abc.abstractmethod
+    async def send_message(
+        self,
+        target_type: str,          # "private" | "group"
+        target_id: typing.Union[int, str],
+        message: MessageChain,
+    ) -> MessageResult:
+        """主动发送消息
+
+        Returns:
+            MessageResult: 包含 message_id 等发送结果
+        """
+        ...
+
+    @abc.abstractmethod
+    async def reply_message(
+        self,
+        event: MessageReceivedEvent,
+        message: MessageChain,
+        quote_origin: bool = False,
+    ) -> MessageResult:
+        """回复一个消息事件"""
+        ...
+
+    # ======== 可选消息方法 ========
+
+    async def edit_message(
+        self,
+        chat_type: str,
+        chat_id: typing.Union[int, str],
+        message_id: typing.Union[int, str],
+        new_content: MessageChain,
+    ) -> None:
+        """编辑已发送的消息"""
+        raise NotSupportedError("edit_message")
+
+    async def delete_message(
+        self,
+        chat_type: str,
+        chat_id: typing.Union[int, str],
+        message_id: typing.Union[int, str],
+    ) -> None:
+        """删除/撤回消息"""
+        raise NotSupportedError("delete_message")
+
+    async def forward_message(
+        self,
+        from_chat_type: str,
+        from_chat_id: typing.Union[int, str],
+        message_id: typing.Union[int, str],
+        to_chat_type: str,
+        to_chat_id: typing.Union[int, str],
+    ) -> MessageResult:
+        """转发消息"""
+        raise NotSupportedError("forward_message")
+
+    async def get_message(
+        self,
+        chat_type: str,
+        chat_id: typing.Union[int, str],
+        message_id: typing.Union[int, str],
+    ) -> MessageReceivedEvent:
+        """获取指定消息"""
+        raise NotSupportedError("get_message")
+
+    # ======== 可选群组方法 ========
+
+    async def get_group_info(
+        self,
+        group_id: typing.Union[int, str],
+    ) -> Group:
+        """获取群组信息"""
+        raise NotSupportedError("get_group_info")
+
+    async def get_group_list(self) -> list[Group]:
+        """获取 Bot 加入的群组列表"""
+        raise NotSupportedError("get_group_list")
+
+    async def get_group_member_list(
+        self,
+        group_id: typing.Union[int, str],
+    ) -> list[GroupMember]:
+        """获取群成员列表"""
+        raise NotSupportedError("get_group_member_list")
+
+    async def get_group_member_info(
+        self,
+        group_id: typing.Union[int, str],
+        user_id: typing.Union[int, str],
+    ) -> GroupMember:
+        """获取指定群成员信息"""
+        raise NotSupportedError("get_group_member_info")
+
+    async def set_group_name(
+        self,
+        group_id: typing.Union[int, str],
+        name: str,
+    ) -> None:
+        """修改群名称"""
+        raise NotSupportedError("set_group_name")
+
+    async def mute_member(
+        self,
+        group_id: typing.Union[int, str],
+        user_id: typing.Union[int, str],
+        duration: int = 0,
+    ) -> None:
+        """禁言群成员，duration 为秒数，0 表示永久"""
+        raise NotSupportedError("mute_member")
+
+    async def unmute_member(
+        self,
+        group_id: typing.Union[int, str],
+        user_id: typing.Union[int, str],
+    ) -> None:
+        """解除禁言"""
+        raise NotSupportedError("unmute_member")
+
+    async def kick_member(
+        self,
+        group_id: typing.Union[int, str],
+        user_id: typing.Union[int, str],
+    ) -> None:
+        """踢出群成员"""
+        raise NotSupportedError("kick_member")
+
+    async def leave_group(
+        self,
+        group_id: typing.Union[int, str],
+    ) -> None:
+        """Bot 退出群组"""
+        raise NotSupportedError("leave_group")
+
+    # ======== 可选用户方法 ========
+
+    async def get_user_info(
+        self,
+        user_id: typing.Union[int, str],
+    ) -> User:
+        """获取用户信息"""
+        raise NotSupportedError("get_user_info")
+
+    async def get_friend_list(self) -> list[User]:
+        """获取好友列表"""
+        raise NotSupportedError("get_friend_list")
+
+    async def approve_friend_request(
+        self,
+        request_id: typing.Union[int, str],
+        approve: bool = True,
+        remark: typing.Optional[str] = None,
+    ) -> None:
+        """处理好友请求"""
+        raise NotSupportedError("approve_friend_request")
+
+    async def approve_group_invite(
+        self,
+        request_id: typing.Union[int, str],
+        approve: bool = True,
+    ) -> None:
+        """处理入群邀请"""
+        raise NotSupportedError("approve_group_invite")
+
+    # ======== 可选媒体方法 ========
+
+    async def upload_file(
+        self,
+        file_data: bytes,
+        filename: str,
+    ) -> str:
+        """上传文件，返回文件 ID 或 URL"""
+        raise NotSupportedError("upload_file")
+
+    async def get_file_url(
+        self,
+        file_id: str,
+    ) -> str:
+        """获取文件下载 URL"""
+        raise NotSupportedError("get_file_url")
+
+    # ======== 透传 API ========
+
+    async def call_platform_api(
+        self,
+        action: str,
+        params: dict = {},
+    ) -> dict:
+        """调用适配器特有 API
+
+        Args:
+            action: 平台特有的 API 动作标识
+            params: 参数字典
+
+        Returns:
+            dict: 返回结果
+
+        Examples:
+            # Telegram: pin 消息
+            await adapter.call_platform_api("pin_message", {
+                "chat_id": 123456,
+                "message_id": 789
+            })
+
+            # Discord: 创建频道
+            await adapter.call_platform_api("create_channel", {
+                "guild_id": "...",
+                "name": "new-channel",
+                "type": "text"
+            })
+        """
+        raise NotSupportedError("call_platform_api")
+
+    # ======== 流式输出（保留现有机制） ========
+
+    async def reply_message_chunk(
+        self,
+        event: MessageReceivedEvent,
+        bot_message: dict,
+        message: MessageChain,
+        quote_origin: bool = False,
+        is_final: bool = False,
+    ):
+        """流式回复消息"""
+        raise NotSupportedError("reply_message_chunk")
+
+    async def is_stream_output_supported(self) -> bool:
+        """是否支持流式输出"""
+        return False
+
+    # ======== 生命周期方法（保留现有） ========
+
+    @abc.abstractmethod
+    async def run_async(self):
+        """启动适配器"""
+        ...
+
+    @abc.abstractmethod
+    async def kill(self) -> bool:
+        """停止适配器"""
+        ...
+
+    @abc.abstractmethod
+    def register_listener(self, event_type, callback):
+        """注册事件监听器"""
+        ...
+
+    @abc.abstractmethod
+    def unregister_listener(self, event_type, callback):
+        """注销事件监听器"""
+        ...
+```
+
+### 3.3 返回值类型
+
+```python
+class MessageResult(pydantic.BaseModel):
+    """消息发送结果"""
+
+    message_id: typing.Optional[typing.Union[int, str]] = None
+    """发送成功后的消息 ID"""
+
+    raw: typing.Optional[dict] = None
+    """平台原始返回数据"""
+
+
+class NotSupportedError(Exception):
+    """适配器未实现此 API"""
+
+    def __init__(self, api_name: str):
+        self.api_name = api_name
+        super().__init__(f"API not supported by this adapter: {api_name}")
+```
+
+## 4. API 能力声明
+
+适配器在 manifest.yaml 中声明支持的 API：
+
+```yaml
+kind: MessagePlatformAdapter
+metadata:
+  name: telegram
+spec:
+  supported_apis:
+    required:
+      - send_message
+      - reply_message
+    optional:
+      - edit_message
+      - delete_message
+      - get_group_info
+      - get_group_member_list
+      - get_user_info
+      - upload_file
+      - get_file_url
+      - call_platform_api
+  platform_specific_apis:
+    - action: pin_message
+      description: "Pin a message in a chat"
+      params_schema:
+        chat_id: { type: "string", required: true }
+        message_id: { type: "string", required: true }
+    - action: unpin_message
+      description: "Unpin a message"
+      params_schema:
+        chat_id: { type: "string", required: true }
+        message_id: { type: "string", required: true }
+```
+
+用途：
+1. **WebUI**：在配置界面展示当前 Bot 可用的 API 能力
+2. **插件**：插件可查询某个 Bot 是否支持特定 API，据此决定行为
+3. **文档**：自动生成各适配器的 API 支持矩阵
+
+## 5. 各平台 API 支持矩阵
+
+| API | Telegram | Discord | OneBot(QQ) | 飞书 | 钉钉 | Slack | 微信 | LINE | KOOK |
+|-----|----------|---------|-----------|------|------|-------|------|------|------|
+| `send_message` | Y | Y | Y | Y | Y | Y | Y | Y | Y |
+| `reply_message` | Y | Y | Y | Y | Y | Y | Y | Y | Y |
+| `edit_message` | Y | Y | N | Y | N | Y | N | N | Y |
+| `delete_message` | Y | Y | Y | Y | N | Y | Y | N | Y |
+| `forward_message` | Y | N | Y | Y | N | N | Y | N | N |
+| `get_group_info` | Y | Y | Y | Y | Y | Y | N | Y | Y |
+| `get_group_member_list` | Y | Y | Y | Y | Y | Y | N | Y | Y |
+| `get_user_info` | Y | Y | Y | Y | Y | Y | N | Y | Y |
+| `get_friend_list` | N | Y | Y | N | N | N | Y | N | N |
+| `mute_member` | Y | Y | Y | N | N | N | N | N | N |
+| `kick_member` | Y | Y | Y | N | N | N | N | N | Y |
+| `upload_file` | Y | Y | Y | Y | Y | Y | Y | Y | Y |
+| `call_platform_api` | Y | Y | Y | Y | Y | Y | Y | Y | Y |
+
+> 注：此表为初步评估，具体以各平台 SDK/API 文档为准。
+
+## 6. MessageChain 扩展
+
+### 6.1 保留的通用组件
+
+以下 MessageComponent 类型保持不变，继续作为通用消息元素：
+
+- `Source` — 消息元信息
+- `Plain` — 纯文本
+- `Quote` — 引用回复
+- `At` / `AtAll` — @提及
+- `Image` — 图片
+- `Voice` — 语音
+- `File` — 文件
+- `Forward` — 合并转发
+- `Face` — 表情
+- `Unknown` — 未知类型
+
+### 6.2 平台特有组件处理
+
+当前 MessageChain 中存在大量微信特有的组件类型（`WeChatMiniPrograms`, `WeChatEmoji`, `WeChatLink` 等）。在新架构下：
+
+- 这些类型**继续保留**在 SDK 中以保持兼容
+- 新增的平台特有消息组件统一使用 `PlatformComponent` 基类：
+
+```python
+class PlatformComponent(MessageComponent):
+    """平台特有的消息组件"""
+
+    type: str = "Platform"
+
+    platform: str
+    """平台标识"""
+
+    component_type: str
+    """组件类型"""
+
+    data: dict = {}
+    """组件数据"""
+```
+
+适配器在转换消息链时，对于无法映射到通用组件的平台特有内容，使用 `PlatformComponent` 承载。

docs/event-based-agents/03-adapter-structure.md

@@ -0,0 +1,483 @@
+# 适配器新目录结构
+
+## 1. 设计目标
+
+- **模块化**：每个适配器从单文件拆分到独立目录，各模块职责清晰
+- **可维护**：随着事件和 API 的增加，代码量会显著增长，目录结构有助于管理复杂度
+- **一致性**：所有适配器遵循相同的目录布局和文件命名约定
+- **兼容现有发现机制**：保持 YAML manifest + ComponentDiscoveryEngine 的注册体系
+
+## 2. 新目录布局
+
+### 2.1 整体结构
+
+```
+pkg/platform/
+├── __init__.py
+├── botmgr.py                  # PlatformManager + RuntimeBot（重构）
+├── event_bus.py               # EventBus（新增）
+├── event_router.py            # EventRouter（新增）
+├── logger.py                  # EventLogger（保留）
+├── webhook_pusher.py          # WebhookPusher（重构为 WebhookHandler）
+│
+├── adapters/                  # 适配器（新目录）
+│   ├── __init__.py
+│   │
+│   ├── telegram/
+│   │   ├── __init__.py
+│   │   ├── adapter.py         # TelegramAdapter 主类
+│   │   ├── event_converter.py # 平台事件 → 统一事件
+│   │   ├── message_converter.py # MessageChain 互转
+│   │   ├── api_impl.py        # 通用 API 实现
+│   │   ├── platform_api.py    # call_platform_api 的动作映射
+│   │   ├── types.py           # 平台特有类型定义
+│   │   └── manifest.yaml      # 适配器清单
+│   │
+│   ├── discord/
+│   │   ├── __init__.py
+│   │   ├── adapter.py
+│   │   ├── event_converter.py
+│   │   ├── message_converter.py
+│   │   ├── api_impl.py
+│   │   ├── platform_api.py
+│   │   ├── types.py
+│   │   ├── voice.py           # Discord 语音连接管理（特有）
+│   │   └── manifest.yaml
+│   │
+│   ├── aiocqhttp/             # OneBot v11 (QQ)
+│   │   └── ...
+│   ├── qqofficial/
+│   │   └── ...
+│   ├── lark/                  # 飞书
+│   │   └── ...
+│   ├── dingtalk/
+│   │   └── ...
+│   ├── slack/
+│   │   └── ...
+│   ├── wechatpad/
+│   │   └── ...
+│   ├── officialaccount/       # 微信公众号
+│   │   └── ...
+│   ├── wecom/                 # 企业微信
+│   │   └── ...
+│   ├── wecombot/
+│   │   └── ...
+│   ├── wecomcs/
+│   │   └── ...
+│   ├── kook/
+│   │   └── ...
+│   ├── line/
+│   │   └── ...
+│   ├── satori/
+│   │   └── ...
+│   ├── websocket/             # 内置 WebSocket 适配器
+│   │   ├── __init__.py
+│   │   ├── adapter.py
+│   │   ├── manager.py         # WebSocket 连接管理
+│   │   └── manifest.yaml
+│   │
+│   └── legacy/                # 旧版适配器（保留一段时间后移除）
+│       ├── gewechat/
+│       ├── nakuru/
+│       └── qqbotpy/
+│
+└── handlers/                  # 事件处理器实现（新增）
+    ├── __init__.py
+    ├── base.py                # AbstractEventHandler 基类
+    ├── pipeline_handler.py    # PipelineHandler
+    ├── agent_handler.py       # AgentHandler
+    ├── webhook_handler.py     # WebhookHandler
+    └── plugin_handler.py      # PluginHandler
+```
+
+### 2.2 适配器目录内各文件职责
+
+以 Telegram 为例：
+
+| 文件 | 职责 | 关键类/函数 |
+|------|------|------------|
+| `adapter.py` | 主入口，继承 `AbstractPlatformAdapter`，组装其他模块 | `TelegramAdapter` |
+| `event_converter.py` | 将 Telegram 原生事件转换为统一事件类型 | `TelegramEventConverter` — 支持 Message/Edit/Delete/Reaction/MemberJoin 等所有事件 |
+| `message_converter.py` | `MessageChain` 与 Telegram 消息格式互转 | `TelegramMessageConverter.yiri2target()` / `target2yiri()` |
+| `api_impl.py` | 实现通用 API 方法（edit_message, delete_message, get_group_info 等） | 各 API 方法的 Telegram 实现 |
+| `platform_api.py` | 实现 `call_platform_api` 的动作分发表 | `PLATFORM_API_MAP = {"pin_message": ..., "unpin_message": ...}` |
+| `types.py` | 平台特有的类型定义 | Telegram 特有的枚举、配置结构等 |
+| `manifest.yaml` | 适配器清单：名称、配置 schema、支持的事件和 API 列表 | — |
+
+## 3. 新基类设计
+
+### 3.1 AbstractPlatformAdapter
+
+新基类继承自现有 `AbstractMessagePlatformAdapter` 并扩展，位于 `langbot-plugin-sdk` 中：
+
+```python
+# langbot_plugin/api/definition/abstract/platform/adapter.py
+
+class AbstractPlatformAdapter(pydantic.BaseModel, metaclass=abc.ABCMeta):
+    """平台适配器基类（EBA 版本）
+
+    相比旧版 AbstractMessagePlatformAdapter：
+    - 新增通用 API 方法（edit_message, delete_message, get_group_info 等）
+    - 新增透传 API（call_platform_api）
+    - 新增能力声明（get_supported_events, get_supported_apis）
+    - 事件监听器支持所有事件类型，不仅限于消息事件
+    """
+
+    bot_account_id: str = ""
+    config: dict
+    logger: AbstractEventLogger = pydantic.Field(exclude=True)
+
+    class Config:
+        arbitrary_types_allowed = True
+
+    # ---- 能力声明 ----
+
+    def get_supported_events(self) -> list[str]:
+        """返回此适配器支持的事件类型列表
+
+        默认实现从 manifest.yaml 读取。
+        适配器也可以 override 此方法动态声明。
+        """
+        return ["message.received"]
+
+    def get_supported_apis(self) -> list[str]:
+        """返回此适配器支持的 API 列表
+
+        默认实现从 manifest.yaml 读取。
+        """
+        return ["send_message", "reply_message"]
+
+    # ---- 必需方法（抽象） ----
+
+    @abc.abstractmethod
+    async def send_message(self, target_type, target_id, message) -> MessageResult:
+        ...
+
+    @abc.abstractmethod
+    async def reply_message(self, event, message, quote_origin=False) -> MessageResult:
+        ...
+
+    @abc.abstractmethod
+    async def run_async(self):
+        ...
+
+    @abc.abstractmethod
+    async def kill(self) -> bool:
+        ...
+
+    @abc.abstractmethod
+    def register_listener(self, event_type, callback):
+        ...
+
+    @abc.abstractmethod
+    def unregister_listener(self, event_type, callback):
+        ...
+
+    # ---- 可选方法（默认抛 NotSupportedError） ----
+    # edit_message, delete_message, forward_message,
+    # get_group_info, get_group_member_list, ...
+    # call_platform_api, ...
+    # （完整签名见 02-platform-api.md）
+
+    # ---- 流式输出（保留） ----
+
+    async def reply_message_chunk(self, event, bot_message, message,
+                                   quote_origin=False, is_final=False):
+        raise NotSupportedError("reply_message_chunk")
+
+    async def is_stream_output_supported(self) -> bool:
+        return False
+
+    # ---- 消息卡片（保留） ----
+
+    async def create_message_card(self, message_id, event) -> bool:
+        return False
+
+    async def is_muted(self, group_id) -> bool:
+        return False
+```
+
+### 3.2 AbstractMessagePlatformAdapter 兼容
+
+旧的 `AbstractMessagePlatformAdapter` 保留为 `AbstractPlatformAdapter` 的类型别名：
+
+```python
+# 向后兼容
+AbstractMessagePlatformAdapter = AbstractPlatformAdapter
+```
+
+现有适配器代码中的 `AbstractMessagePlatformAdapter` 引用不需要立即修改。
+
+### 3.3 EventConverter 新设计
+
+现有 `AbstractEventConverter` 只有 `target2yiri` 和 `yiri2target` 两个静态方法，且只处理消息事件。
+
+新设计支持多种事件类型：
+
+```python
+class AbstractEventConverter:
+    """事件转换器基类（EBA 版本）
+
+    适配器需要实现此转换器，将平台原生事件转换为统一事件。
+    """
+
+    @staticmethod
+    def target2yiri(raw_event: typing.Any) -> typing.Optional[Event]:
+        """将平台原生事件转换为统一事件
+
+        Args:
+            raw_event: 平台 SDK 回调传入的原始事件对象
+
+        Returns:
+            统一 Event 对象，如果无法转换或不需要处理则返回 None
+        """
+        raise NotImplementedError
+
+    @staticmethod
+    def yiri2target(event: Event) -> typing.Any:
+        """将统一事件转换为平台原生事件（一般不需要）"""
+        raise NotImplementedError
+```
+
+具体适配器的 EventConverter 实现会是一个分发式的结构：
+
+```python
+class TelegramEventConverter(AbstractEventConverter):
+    """Telegram 事件转换器"""
+
+    @staticmethod
+    def target2yiri(update: telegram.Update) -> typing.Optional[Event]:
+        # 消息事件
+        if update.message:
+            return TelegramEventConverter._convert_message(update)
+        # 消息编辑
+        if update.edited_message:
+            return TelegramEventConverter._convert_edited_message(update)
+        # 成员变动
+        if update.chat_member:
+            return TelegramEventConverter._convert_chat_member(update)
+        # 回调查询（按钮点击等）
+        if update.callback_query:
+            return TelegramEventConverter._convert_callback_query(update)
+        # 其他 → PlatformSpecificEvent
+        return TelegramEventConverter._convert_platform_specific(update)
+
+    @staticmethod
+    def _convert_message(update) -> MessageReceivedEvent:
+        ...
+
+    @staticmethod
+    def _convert_edited_message(update) -> MessageEditedEvent:
+        ...
+
+    @staticmethod
+    def _convert_chat_member(update) -> typing.Union[
+        MemberJoinedEvent, MemberLeftEvent, ...
+    ]:
+        ...
+
+    @staticmethod
+    def _convert_platform_specific(update) -> PlatformSpecificEvent:
+        ...
+```
+
+## 4. Manifest 文件格式扩展
+
+现有 manifest.yaml 只声明 `kind`, `metadata`, `spec.config`, `execution`。
+
+新增 `spec.supported_events` 和 `spec.supported_apis`：
+
+```yaml
+apiVersion: v1
+kind: MessagePlatformAdapter
+
+metadata:
+  name: telegram
+  label:
+    en_US: Telegram
+    zh_Hans: Telegram
+  icon: telegram.svg
+  description:
+    en_US: Telegram Bot adapter
+    zh_Hans: Telegram Bot 适配器
+
+spec:
+  config:
+    # 现有配置 schema（保持不变）
+    - key: token
+      label: { en_US: "Bot Token", zh_Hans: "Bot Token" }
+      type: string
+      required: true
+      sensitive: true
+    # ...
+
+  supported_events:
+    - message.received
+    - message.edited
+    - message.deleted
+    - message.reaction
+    - feedback.received
+    - group.member_joined
+    - group.member_left
+    - group.member_banned
+    - group.info_updated
+    - bot.invited_to_group
+    - bot.removed_from_group
+    - bot.muted
+    - bot.unmuted
+    - platform.specific
+
+  supported_apis:
+    required:
+      - send_message
+      - reply_message
+    optional:
+      - edit_message
+      - delete_message
+      - get_group_info
+      - get_group_member_list
+      - get_group_member_info
+      - get_user_info
+      - upload_file
+      - get_file_url
+      - call_platform_api
+
+  platform_specific_apis:
+    - action: pin_message
+      description: { en_US: "Pin a message", zh_Hans: "置顶消息" }
+    - action: unpin_message
+      description: { en_US: "Unpin a message", zh_Hans: "取消置顶" }
+    - action: get_chat_administrators
+      description: { en_US: "Get chat admins", zh_Hans: "获取群管理员列表" }
+
+execution:
+  python:
+    path: pkg/platform/adapters/telegram/adapter.py
+    attr: TelegramAdapter
+```
+
+## 5. 适配器注册与发现
+
+### 5.1 Blueprint 更新
+
+`templates/components.yaml` 中更新扫描路径：
+
+```yaml
+kind: Blueprint
+spec:
+  components:
+    MessagePlatformAdapter:
+      fromDirs:
+        - path: pkg/platform/adapters/     # 新路径
+```
+
+`ComponentDiscoveryEngine` 的递归扫描逻辑不变——它会扫描所有子目录中的 `.yaml` 文件。因此每个适配器目录下的 `manifest.yaml` 会被自动发现。
+
+### 5.2 PlatformManager 适配
+
+`PlatformManager.initialize()` 的核心逻辑基本不变：
+
+```python
+async def initialize(self):
+    # 1. 发现适配器组件（自动扫描新目录结构）
+    self.adapter_components = self.ap.discover.get_components_by_kind('MessagePlatformAdapter')
+
+    # 2. 动态导入适配器类
+    for component in self.adapter_components:
+        self.adapter_dict[component.metadata.name] = component.get_python_component_class()
+
+    # 3. 从数据库加载 Bot 并实例化适配器（不变）
+    await self.load_bots_from_db()
+```
+
+变更点：
+- `execution.python.path` 从 `pkg/platform/sources/telegram.py` 变为 `pkg/platform/adapters/telegram/adapter.py`
+- `get_python_component_class()` 正常工作，因为它按路径动态导入
+
+## 6. RuntimeBot 重构
+
+### 6.1 现有问题
+
+当前 `RuntimeBot.initialize()` 硬编码注册了两个回调：
+
+```python
+# 现有代码
+self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
+self.adapter.register_listener(platform_events.GroupMessage, on_group_message)
+```
+
+### 6.2 新设计
+
+`RuntimeBot` 改为注册一个通用的事件回调：
+
+```python
+class RuntimeBot:
+    async def initialize(self):
+        # 注册通用事件回调，接收所有事件类型
+        self.adapter.register_listener(Event, self._on_event)
+
+    async def _on_event(
+        self,
+        event: Event,
+        adapter: AbstractPlatformAdapter,
+    ):
+        """统一事件入口"""
+
+        # 1. 设置事件的 bot_uuid 和 adapter_name
+        event.bot_uuid = self.bot_entity.uuid
+        event.adapter_name = self.bot_entity.adapter
+
+        # 2. 日志记录
+        await self._log_event(event)
+
+        # 3. 提交给 EventBus
+        await self.ap.event_bus.emit(event, adapter)
+```
+
+适配器侧的 `register_listener` 实现也需调整：
+- 当 `event_type` 为 `Event`（基类）时，注册为"接收所有事件"的通配回调
+- 适配器在收到平台原生事件时，通过 `EventConverter.target2yiri()` 转换后，调用所有匹配的回调
+
+## 7. 从现有单文件适配器迁移
+
+### 7.1 迁移模式
+
+以 Telegram 为例，从 `sources/telegram.py`（445 行）拆分：
+
+| 原代码位置 | → 新文件 |
+|-----------|----------|
+| `TelegramMessageConverter` 类 | `telegram/message_converter.py` |
+| `TelegramEventConverter` 类 | `telegram/event_converter.py`（扩展，支持更多事件） |
+| `TelegramAdapter.__init__` / `run_async` / `kill` / `register_listener` | `telegram/adapter.py` |
+| `TelegramAdapter.send_message` / `reply_message` / `reply_message_chunk` | `telegram/adapter.py`（消息方法保留在主类）+ `telegram/api_impl.py`（新增 API） |
+| 新增代码 | `telegram/api_impl.py`（edit_message, delete_message, get_group_info 等） |
+| 新增代码 | `telegram/platform_api.py`（pin_message, unpin_message 等的映射） |
+| `telegram.yaml` | `telegram/manifest.yaml`（扩展 supported_events/apis） |
+
+### 7.2 迁移顺序建议
+
+1. **Telegram** — 功能最完整的适配器之一，适合作为模板
+2. **Discord** — 第二个迁移，验证模式的通用性
+3. **AioCQHTTP (OneBot)** — 国内最常用，确保兼容
+4. **其他适配器** — 按使用频率排序
+
+### 7.3 渐进式迁移
+
+不需要一次性迁移所有适配器。可以采用渐进策略：
+
+1. 先在 `adapters/` 下建立新适配器
+2. `Blueprint` 同时扫描 `sources/` 和 `adapters/` 两个目录
+3. 旧适配器在 `sources/` 中继续工作
+4. 逐个迁移到新结构
+5. 全部迁移完成后移除 `sources/` 目录
+
+```yaml
+# 过渡期的 Blueprint
+kind: Blueprint
+spec:
+  components:
+    MessagePlatformAdapter:
+      fromDirs:
+        - path: pkg/platform/sources/      # 旧路径（尚未迁移的适配器）
+        - path: pkg/platform/adapters/      # 新路径（已迁移的适配器）
+```

docs/event-based-agents/04-event-routing.md

@@ -0,0 +1,743 @@
+# 事件路由与编排
+
+## 1. 概述
+
+事件路由是 EBA 架构的核心机制：事件从适配器产生后，经由 EventBus 进入 EventRouter，由 EventRouter 根据 Bot 的配置将事件分发到对应的处理器（Handler）。
+
+**配置方式**：用户在 WebUI 的 Bot 管理页面通过可视化编排面板管理事件处理器配置，配置数据存储在数据库的 Bot 表 `event_handlers` JSON 字段中。
+
+## 2. 数据模型
+
+### 2.1 Bot 实体扩展
+
+在 `bots` 表新增 `event_handlers` 字段：
+
+```python
+class Bot(Base):
+    __tablename__ = "bots"
+
+    uuid: str               # 主键
+    name: str
+    description: str
+    adapter: str
+    adapter_config: dict    # JSON
+    enable: bool
+
+    # 新增
+    event_handlers: list    # JSON — 事件处理器配置列表
+
+    # 保留（过渡期后弃用）
+    use_pipeline_name: str  # deprecated
+    use_pipeline_uuid: str  # deprecated
+
+    created_at: datetime
+    updated_at: datetime
+```
+
+### 2.2 EventHandler 配置结构
+
+`event_handlers` 字段存储一个 JSON 数组，每个元素定义一条事件路由规则：
+
+```python
+class EventHandlerConfig(pydantic.BaseModel):
+    """单条事件处理器配置"""
+
+    event_type: str
+    """匹配的事件类型
+
+    支持精确匹配和通配符：
+    - "message.received"       — 精确匹配
+    - "message.*"              — 匹配 message 命名空间下所有事件
+    - "group.*"                — 匹配 group 命名空间下所有事件
+    - "*"                      — 匹配所有事件（兜底）
+    """
+
+    handler_type: str
+    """处理器类型: "pipeline" | "agent" | "webhook" | "plugin" """
+
+    handler_config: dict = {}
+    """处理器的具体配置，结构取决于 handler_type"""
+
+    enabled: bool = True
+    """是否启用此规则"""
+
+    priority: int = 0
+    """优先级，数字越大越先匹配（同一事件类型有多条规则时）"""
+
+    description: str = ""
+    """规则描述（供 WebUI 显示）"""
+```
+
+### 2.3 各 Handler 类型的 handler_config 结构
+
+#### pipeline
+
+```json
+{
+    "handler_type": "pipeline",
+    "handler_config": {
+        "pipeline_uuid": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
+    }
+}
+```
+
+将事件作为消息事件传入现有 Pipeline 流水线。仅适用于 `message.received` 事件。
+
+#### agent
+
+```json
+{
+    "handler_type": "agent",
+    "handler_config": {
+        "runner": "local-agent",
+        "runner_config": {
+            "model_uuid": "...",
+            "prompt": "你是一个群组助理，请处理以下事件：{event_summary}",
+            "tools_enabled": true
+        }
+    }
+}
+```
+
+```json
+{
+    "handler_type": "agent",
+    "handler_config": {
+        "runner": "dify-service-api",
+        "runner_config": {
+            "base_url": "https://api.dify.ai/v1",
+            "api_key": "...",
+            "app_type": "agent"
+        }
+    }
+}
+```
+
+直接调用 RequestRunner 处理事件。可用的 runner 包括：
+- `local-agent` — 内置 LLM Agent
+- `dify-service-api` — Dify 平台
+- `n8n-service-api` — n8n 工作流
+- `coze-api` — Coze (扣子)
+- `dashscope-app-api` — 阿里百炼
+- `langflow-api` — Langflow
+- `tbox-app-api` — 蚂蚁 Tbox
+
+Agent 处理器不经过 Pipeline 的多 Stage 流程，而是直接构建上下文并调用 Runner。适用于所有事件类型。
+
+**Agent Handler 与 Pipeline 的关系**：
+- Pipeline 是完整的多 Stage 处理链（PreProcessor → MessageProcessor(内含Runner) → PostProcessor → ...），适合复杂消息处理
+- Agent Handler 是轻量级的，直接调用 Runner，跳过 PreProcessor/PostProcessor 等阶段
+- Pipeline 内部的 AI Stage 仍然使用 Runner，所以 Runner 本身被两种 Handler 共享
+- 用户可以根据场景选择：消息处理用 Pipeline（更多控制），其他事件用 Agent（更直接）
+
+#### webhook
+
+```json
+{
+    "handler_type": "webhook",
+    "handler_config": {
+        "url": "https://example.com/webhook/langbot-events",
+        "method": "POST",
+        "headers": {
+            "Authorization": "Bearer xxx"
+        },
+        "timeout": 30,
+        "retry_count": 3,
+        "retry_interval": 5,
+        "response_actions": true
+    }
+}
+```
+
+将事件序列化为 JSON POST 到外部 URL。支持的特性：
+- **认证**：通过 headers 配置（Bearer Token、API Key 等）
+- **重试**：配置重试次数和间隔
+- **响应动作**：如果 `response_actions` 为 true，解析响应 JSON 中的 `actions` 字段并执行（如发送消息、同意好友请求等）
+
+Webhook 请求体格式：
+
+```json
+{
+    "event": {
+        "type": "group.member_joined",
+        "timestamp": 1700000000.0,
+        "bot_uuid": "...",
+        "adapter_name": "telegram",
+        "group": { "id": "...", "name": "..." },
+        "member": { "id": "...", "nickname": "..." }
+    },
+    "bot": {
+        "uuid": "...",
+        "name": "...",
+        "adapter": "telegram"
+    }
+}
+```
+
+响应体格式（当 `response_actions` 为 true 时）：
+
+```json
+{
+    "actions": [
+        {
+            "type": "send_message",
+            "params": {
+                "target_type": "group",
+                "target_id": "123456",
+                "message": [{ "type": "Plain", "text": "欢迎新成员！" }]
+            }
+        },
+        {
+            "type": "call_platform_api",
+            "params": {
+                "action": "pin_message",
+                "params": { "chat_id": "123456", "message_id": "789" }
+            }
+        }
+    ]
+}
+```
+
+#### plugin
+
+```json
+{
+    "handler_type": "plugin",
+    "handler_config": {
+        "plugin_filter": []
+    }
+}
+```
+
+将事件分发给插件的 EventListener 处理。
+
+- `plugin_filter`：可选的插件名过滤列表，为空表示分发给所有插件
+- 沿用现有的插件事件分发机制（按优先级遍历插件，支持 `prevent_postorder`）
+
+### 2.4 完整配置示例
+
+一个 Bot 的 `event_handlers` 配置示例：
+
+```json
+[
+    {
+        "event_type": "message.received",
+        "handler_type": "pipeline",
+        "handler_config": {
+            "pipeline_uuid": "default-pipeline-uuid"
+        },
+        "enabled": true,
+        "priority": 10,
+        "description": "消息事件使用默认流水线处理"
+    },
+    {
+        "event_type": "group.member_joined",
+        "handler_type": "agent",
+        "handler_config": {
+            "runner": "local-agent",
+            "runner_config": {
+                "model_uuid": "gpt-4o-mini",
+                "prompt": "有新成员 {member_name} 加入了群组 {group_name}，请生成一条欢迎消息。"
+            }
+        },
+        "enabled": true,
+        "priority": 0,
+        "description": "新成员入群时用 AI 生成欢迎消息"
+    },
+    {
+        "event_type": "friend.request_received",
+        "handler_type": "webhook",
+        "handler_config": {
+            "url": "https://my-server.com/api/friend-request",
+            "response_actions": true
+        },
+        "enabled": true,
+        "priority": 0,
+        "description": "好友请求转发到自建服务处理"
+    },
+    {
+        "event_type": "*",
+        "handler_type": "plugin",
+        "handler_config": {},
+        "enabled": true,
+        "priority": -100,
+        "description": "所有事件兜底发给插件处理"
+    }
+]
+```
+
+## 3. EventBus 设计
+
+EventBus 是事件的中转站，接收来自各个 RuntimeBot 的事件，交由 EventRouter 处理。
+
+```python
+class EventBus:
+    """事件总线"""
+
+    def __init__(self, ap: Application):
+        self.ap = ap
+        self.event_router = EventRouter(ap)
+
+    async def emit(
+        self,
+        event: Event,
+        adapter: AbstractPlatformAdapter,
+    ):
+        """接收并分发事件
+
+        Args:
+            event: 统一事件对象
+            adapter: 产生此事件的适配器实例
+        """
+        # 1. 全局事件日志
+        self.ap.logger.debug(
+            f"EventBus: {event.type} from bot {event.bot_uuid}"
+        )
+
+        # 2. 交由 EventRouter 路由处理
+        await self.event_router.route(event, adapter)
+```
+
+## 4. EventRouter 设计
+
+EventRouter 是事件路由引擎，根据 Bot 的 `event_handlers` 配置决定事件的处理方式。
+
+```python
+class EventRouter:
+    """事件路由引擎"""
+
+    def __init__(self, ap: Application):
+        self.ap = ap
+        self.handlers: dict[str, AbstractEventHandler] = {
+            "pipeline": PipelineHandler(ap),
+            "agent": AgentHandler(ap),
+            "webhook": WebhookHandler(ap),
+            "plugin": PluginHandler(ap),
+        }
+
+    async def route(
+        self,
+        event: Event,
+        adapter: AbstractPlatformAdapter,
+    ):
+        """路由事件到对应处理器"""
+
+        # 1. 获取 Bot 配置
+        bot = await self.ap.platform_mgr.get_bot_by_uuid(event.bot_uuid)
+        if not bot:
+            return
+
+        # 2. 获取事件处理器配置
+        event_handlers = bot.bot_entity.event_handlers or []
+
+        # 3. 匹配规则（按 priority 降序排列）
+        matched_handlers = self._match_handlers(event.type, event_handlers)
+
+        if not matched_handlers:
+            # 未匹配到任何规则 → 默认交给插件处理（向后兼容）
+            await self.handlers["plugin"].handle(event, adapter, {})
+            return
+
+        # 4. 执行第一个匹配的 Handler
+        #    （未来可扩展为多个 Handler 串行/并行执行）
+        handler_config = matched_handlers[0]
+        handler = self.handlers.get(handler_config.handler_type)
+
+        if handler:
+            await handler.handle(event, adapter, handler_config.handler_config)
+        else:
+            self.ap.logger.warning(
+                f"Unknown handler type: {handler_config.handler_type}"
+            )
+
+    def _match_handlers(
+        self,
+        event_type: str,
+        handlers: list[EventHandlerConfig],
+    ) -> list[EventHandlerConfig]:
+        """匹配事件类型到处理器配置
+
+        匹配规则：
+        1. 精确匹配：event_type == handler.event_type
+        2. 命名空间通配：handler.event_type 为 "message.*" 时匹配所有 "message.xxx"
+        3. 全局通配：handler.event_type 为 "*" 时匹配所有事件
+        4. 按 priority 降序排列
+        5. 只返回 enabled=True 的规则
+        """
+        matched = []
+        for handler in handlers:
+            if not handler.enabled:
+                continue
+            if self._event_type_matches(event_type, handler.event_type):
+                matched.append(handler)
+
+        matched.sort(key=lambda h: h.priority, reverse=True)
+        return matched
+
+    @staticmethod
+    def _event_type_matches(event_type: str, pattern: str) -> bool:
+        """判断事件类型是否匹配模式"""
+        if pattern == "*":
+            return True
+        if pattern == event_type:
+            return True
+        if pattern.endswith(".*"):
+            namespace = pattern[:-2]
+            return event_type.startswith(namespace + ".")
+        return False
+```
+
+## 5. 事件处理器（Handler）实现
+
+### 5.1 Handler 基类
+
+```python
+class AbstractEventHandler(abc.ABC):
+    """事件处理器基类"""
+
+    def __init__(self, ap: Application):
+        self.ap = ap
+
+    @abc.abstractmethod
+    async def handle(
+        self,
+        event: Event,
+        adapter: AbstractPlatformAdapter,
+        config: dict,
+    ) -> None:
+        """处理事件
+
+        Args:
+            event: 统一事件对象
+            adapter: 适配器实例（用于调用平台 API 发送响应）
+            config: handler_config 配置
+        """
+        ...
+```
+
+### 5.2 PipelineHandler
+
+将消息事件注入现有 Pipeline 流水线处理。
+
+```python
+class PipelineHandler(AbstractEventHandler):
+    """Pipeline 处理器 — 将事件送入现有 Pipeline 流水线"""
+
+    async def handle(self, event, adapter, config):
+        pipeline_uuid = config.get("pipeline_uuid")
+
+        if not isinstance(event, MessageReceivedEvent):
+            self.ap.logger.warning(
+                f"PipelineHandler only supports MessageReceivedEvent, "
+                f"got {event.type}"
+            )
+            return
+
+        # 将 MessageReceivedEvent 转换为现有的 Query 并投入 QueryPool
+        # 复用现有的 MessageAggregator + QueryPool + Pipeline 机制
+        launcher_type = (
+            LauncherTypes.PERSON
+            if event.chat_type == ChatType.PRIVATE
+            else LauncherTypes.GROUP
+        )
+
+        await self.ap.msg_aggregator.add_message(
+            bot_uuid=event.bot_uuid,
+            launcher_type=launcher_type,
+            launcher_id=event.chat_id,
+            sender_id=event.sender.id,
+            message_event=event.to_legacy_event(),  # 转换为 FriendMessage/GroupMessage
+            message_chain=event.message_chain,
+            adapter=adapter,
+            pipeline_uuid=pipeline_uuid,
+        )
+```
+
+### 5.3 AgentHandler
+
+直接调用 RequestRunner 处理事件，不经过 Pipeline Stage 链。
+
+```python
+class AgentHandler(AbstractEventHandler):
+    """Agent 处理器 — 直接调用 RequestRunner 处理事件"""
+
+    async def handle(self, event, adapter, config):
+        runner_name = config.get("runner", "local-agent")
+        runner_config = config.get("runner_config", {})
+
+        # 1. 查找 Runner 类
+        runner_cls = None
+        for r in preregistered_runners:
+            if r.name == runner_name:
+                runner_cls = r
+                break
+
+        if not runner_cls:
+            self.ap.logger.error(f"Runner not found: {runner_name}")
+            return
+
+        # 2. 构建事件上下文（将事件信息整理为 Runner 可处理的格式）
+        event_context = self._build_event_context(event, runner_config)
+
+        # 3. 实例化并调用 Runner
+        runner = runner_cls(self.ap, self._build_runner_pipeline_config(config))
+
+        response_messages = []
+        async for result in runner.run(event_context):
+            response_messages.append(result)
+
+        # 4. 发送响应（如果 Runner 产生了回复）
+        if response_messages and isinstance(event, MessageReceivedEvent):
+            # 将 Runner 输出转换为 MessageChain 并回复
+            reply_chain = self._build_reply_chain(response_messages)
+            await adapter.reply_message(event, reply_chain)
+
+    def _build_event_context(self, event, runner_config):
+        """将事件构建为 Runner 可处理的上下文
+
+        对于消息事件，直接使用消息内容。
+        对于其他事件，根据 runner_config 中的 prompt 模板生成描述文本。
+        """
+        ...
+
+    def _build_runner_pipeline_config(self, config):
+        """将 handler_config 转换为 Runner 需要的 pipeline_config 格式"""
+        ...
+```
+
+### 5.4 WebhookHandler
+
+将事件 POST 到外部 URL。
+
+```python
+class WebhookHandler(AbstractEventHandler):
+    """Webhook 处理器 — 将事件 POST 到外部 URL"""
+
+    async def handle(self, event, adapter, config):
+        url = config.get("url")
+        method = config.get("method", "POST")
+        headers = config.get("headers", {})
+        timeout = config.get("timeout", 30)
+        retry_count = config.get("retry_count", 3)
+        response_actions = config.get("response_actions", False)
+
+        # 1. 构建请求体
+        bot = await self.ap.platform_mgr.get_bot_by_uuid(event.bot_uuid)
+        payload = {
+            "event": event.model_dump(),
+            "bot": {
+                "uuid": bot.bot_entity.uuid,
+                "name": bot.bot_entity.name,
+                "adapter": bot.bot_entity.adapter,
+            }
+        }
+
+        # 2. 发送请求（带重试）
+        response = await self._send_with_retry(
+            url, method, headers, payload, timeout, retry_count
+        )
+
+        # 3. 处理响应动作
+        if response_actions and response:
+            await self._execute_response_actions(
+                response, adapter, event
+            )
+
+    async def _execute_response_actions(self, response, adapter, event):
+        """执行响应中的动作列表"""
+        actions = response.get("actions", [])
+        for action in actions:
+            action_type = action.get("type")
+            params = action.get("params", {})
+
+            if action_type == "send_message":
+                chain = MessageChain.model_validate(params.get("message", []))
+                await adapter.send_message(
+                    params["target_type"],
+                    params["target_id"],
+                    chain,
+                )
+            elif action_type == "reply":
+                chain = MessageChain.model_validate(params.get("message", []))
+                await adapter.reply_message(event, chain)
+            elif action_type == "call_platform_api":
+                await adapter.call_platform_api(
+                    params["action"],
+                    params.get("params", {}),
+                )
+            elif action_type == "approve_friend_request":
+                await adapter.approve_friend_request(
+                    params["request_id"],
+                    params.get("approve", True),
+                )
+            # ... 更多动作类型
+```
+
+### 5.5 PluginHandler
+
+将事件分发给插件的 EventListener。
+
+```python
+class PluginHandler(AbstractEventHandler):
+    """Plugin 处理器 — 分发给插件 EventListener"""
+
+    async def handle(self, event, adapter, config):
+        plugin_filter = config.get("plugin_filter", [])
+
+        # 复用现有的插件事件分发机制
+        # 通过 plugin_connector 将事件发送给 Plugin Runtime
+        await self.ap.plugin_connector.emit_event(
+            event=event,
+            adapter=adapter,
+            plugin_filter=plugin_filter,
+        )
+```
+
+## 6. use_pipeline_uuid 迁移
+
+### 6.1 自动迁移
+
+数据库迁移脚本将现有的 `use_pipeline_uuid` 自动转换为 `event_handlers`：
+
+```python
+# 迁移逻辑
+for bot in all_bots:
+    if bot.use_pipeline_uuid and not bot.event_handlers:
+        bot.event_handlers = [
+            {
+                "event_type": "message.received",
+                "handler_type": "pipeline",
+                "handler_config": {
+                    "pipeline_uuid": bot.use_pipeline_uuid
+                },
+                "enabled": True,
+                "priority": 10,
+                "description": "Auto-migrated from use_pipeline_uuid"
+            },
+            {
+                "event_type": "*",
+                "handler_type": "plugin",
+                "handler_config": {},
+                "enabled": True,
+                "priority": -100,
+                "description": "Default plugin handler"
+            }
+        ]
+```
+
+### 6.2 过渡期兼容
+
+在过渡期内，如果 `event_handlers` 为空且 `use_pipeline_uuid` 非空，EventRouter 自动回退到旧行为：
+
+```python
+# EventRouter.route() 中的兼容逻辑
+if not event_handlers and bot.bot_entity.use_pipeline_uuid:
+    # 回退：消息事件走 Pipeline，其他事件走 Plugin
+    if isinstance(event, MessageReceivedEvent):
+        await self.handlers["pipeline"].handle(
+            event, adapter,
+            {"pipeline_uuid": bot.bot_entity.use_pipeline_uuid}
+        )
+    else:
+        await self.handlers["plugin"].handle(event, adapter, {})
+    return
+```
+
+## 7. WebUI 编排面板数据模型
+
+### 7.1 交互设计概要
+
+在 WebUI 的 Bot 管理页面，新增"事件处理器"标签页（或区域），呈现为一个**规则列表**：
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│  事件处理器                                       [+ 添加规则]  │
+├─────────────────────────────────────────────────────────────┤
+│                                                             │
+│  ┌─ 规则 1 ─────────────────────────────────── [启用] [删除] ─┐ │
+│  │  事件类型: [message.received    ▾]                         │ │
+│  │  处理器:   [Pipeline           ▾]                         │ │
+│  │  Pipeline: [默认流水线          ▾]                         │ │
+│  │  优先级:   [10]                                           │ │
+│  │  描述:     消息事件使用默认流水线处理                         │ │
+│  └──────────────────────────────────────────────────────────┘ │
+│                                                             │
+│  ┌─ 规则 2 ─────────────────────────────────── [启用] [删除] ─┐ │
+│  │  事件类型: [group.member_joined ▾]                         │ │
+│  │  处理器:   [Agent              ▾]                         │ │
+│  │  Runner:   [local-agent        ▾]                         │ │
+│  │  模型:     [gpt-4o-mini        ▾]                         │ │
+│  │  Prompt:   [有新成员加入...]                                │ │
+│  │  优先级:   [0]                                            │ │
+│  └──────────────────────────────────────────────────────────┘ │
+│                                                             │
+│  ┌─ 规则 3 (兜底) ──────────────────────────── [启用] [删除] ─┐ │
+│  │  事件类型: [*                   ▾]                         │ │
+│  │  处理器:   [Plugin             ▾]                         │ │
+│  │  优先级:   [-100]                                         │ │
+│  └──────────────────────────────────────────────────────────┘ │
+│                                                             │
+└─────────────────────────────────────────────────────────────┘
+```
+
+### 7.2 前端数据结构
+
+```typescript
+interface EventHandlerRule {
+  event_type: string;       // 下拉选择，选项从适配器 manifest 的 supported_events 获取
+  handler_type: string;     // "pipeline" | "agent" | "webhook" | "plugin"
+  handler_config: Record<string, any>;  // 根据 handler_type 动态渲染不同的配置表单
+  enabled: boolean;
+  priority: number;
+  description: string;
+}
+
+// Bot 编辑接口扩展
+interface BotConfig {
+  uuid: string;
+  name: string;
+  adapter: string;
+  adapter_config: Record<string, any>;
+  enable: boolean;
+  event_handlers: EventHandlerRule[];  // 新增
+}
+```
+
+### 7.3 事件类型下拉选项
+
+从 Bot 关联的适配器 manifest 中获取 `supported_events`，加上通配符选项：
+
+```
+- message.received
+- message.edited
+- message.deleted
+- message.reaction
+- feedback.received
+- group.member_joined
+- group.member_left
+- group.member_banned
+- group.info_updated
+- friend.request_received
+- friend.added
+- bot.invited_to_group
+- bot.removed_from_group
+- bot.muted
+- bot.unmuted
+- platform.specific
+─────────────────
+- message.*          (所有消息事件)
+- feedback.*         (所有反馈事件)
+- group.*            (所有群组事件)
+- friend.*           (所有好友事件)
+- bot.*              (所有 Bot 事件)
+- *                  (所有事件)
+```
+
+### 7.4 HTTP API
+
+```
+GET    /api/v1/bots/{uuid}/event-handlers         获取 Bot 的事件处理器配置
+PUT    /api/v1/bots/{uuid}/event-handlers         更新 Bot 的事件处理器配置
+GET    /api/v1/adapters/{name}/supported-events    获取适配器支持的事件类型
+GET    /api/v1/adapters/{name}/supported-apis      获取适配器支持的 API
+```

docs/event-based-agents/05-plugin-sdk.md

@@ -0,0 +1,738 @@
+# 插件 SDK 改造
+
+## 1. 概述
+
+插件 SDK 需要配合 EBA 架构进行以下改造：
+
+1. **新事件类型**：将所有通用事件暴露给插件
+2. **新 API**：将新增的平台 API 通过 `LangBotAPIProxy` 暴露给插件
+3. **兼容层**：保证现有插件零修改运行
+4. **通信协议扩展**：新增 action 枚举支持新 API
+
+## 2. 新事件类型暴露
+
+### 2.1 插件事件模型扩展
+
+当前插件 SDK 的事件模型（`api/entities/events.py`）只有消息相关事件。需要新增所有通用事件的插件级包装：
+
+```python
+# api/entities/events.py — 新增事件
+
+# ---- 消息事件（扩展） ----
+
+class MessageEditedReceived(BaseEventModel):
+    """消息被编辑事件"""
+    launcher_type: str
+    launcher_id: typing.Union[int, str]
+    message_id: typing.Union[int, str]
+    editor_id: typing.Union[int, str]
+    new_content: MessageChain
+    chat_type: str  # "private" | "group"
+
+class MessageDeletedReceived(BaseEventModel):
+    """消息被删除/撤回事件"""
+    launcher_type: str
+    launcher_id: typing.Union[int, str]
+    message_id: typing.Union[int, str]
+    operator_id: typing.Optional[typing.Union[int, str]] = None
+    chat_type: str
+
+class MessageReactionReceived(BaseEventModel):
+    """消息表情回应事件"""
+    launcher_type: str
+    launcher_id: typing.Union[int, str]
+    message_id: typing.Union[int, str]
+    user_id: typing.Union[int, str]
+    reaction: str
+    is_add: bool
+
+# ---- 用户反馈事件 ----
+
+class FeedbackReceived(BaseEventModel):
+    """用户对 Bot 回复提交反馈"""
+    feedback_id: str
+    feedback_type: int  # 1=like, 2=dislike, 3=cancel/remove feedback
+    feedback_content: typing.Optional[str] = None
+    inaccurate_reasons: typing.Optional[list[str]] = None
+    user_id: typing.Optional[str] = None
+    session_id: typing.Optional[str] = None
+    message_id: typing.Optional[str] = None
+    stream_id: typing.Optional[str] = None
+
+# ---- 群组事件 ----
+
+class GroupMemberJoined(BaseEventModel):
+    """新成员加入群组"""
+    group_id: typing.Union[int, str]
+    group_name: str
+    member_id: typing.Union[int, str]
+    member_name: str
+    inviter_id: typing.Optional[typing.Union[int, str]] = None
+    join_type: typing.Optional[str] = None
+
+class GroupMemberLeft(BaseEventModel):
+    """成员离开群组"""
+    group_id: typing.Union[int, str]
+    group_name: str
+    member_id: typing.Union[int, str]
+    member_name: str
+    is_kicked: bool = False
+    operator_id: typing.Optional[typing.Union[int, str]] = None
+
+class GroupMemberBanned(BaseEventModel):
+    """成员被禁言"""
+    group_id: typing.Union[int, str]
+    member_id: typing.Union[int, str]
+    operator_id: typing.Optional[typing.Union[int, str]] = None
+    duration: typing.Optional[int] = None
+
+class GroupMemberUnbanned(BaseEventModel):
+    """成员被解除禁言"""
+    group_id: typing.Union[int, str]
+    member_id: typing.Union[int, str]
+    operator_id: typing.Optional[typing.Union[int, str]] = None
+
+class GroupInfoUpdated(BaseEventModel):
+    """群组信息被修改"""
+    group_id: typing.Union[int, str]
+    group_name: str
+    operator_id: typing.Optional[typing.Union[int, str]] = None
+    changed_fields: list[str] = []
+
+# ---- 好友事件 ----
+
+class FriendRequestReceived(BaseEventModel):
+    """收到好友请求"""
+    request_id: typing.Union[int, str]
+    user_id: typing.Union[int, str]
+    user_name: str
+    message: typing.Optional[str] = None
+
+class FriendAdded(BaseEventModel):
+    """成功添加好友"""
+    user_id: typing.Union[int, str]
+    user_name: str
+
+class FriendRemoved(BaseEventModel):
+    """好友被移除"""
+    user_id: typing.Union[int, str]
+    user_name: str
+
+# ---- Bot 状态事件 ----
+
+class BotInvitedToGroup(BaseEventModel):
+    """Bot 被邀请加入群组"""
+    group_id: typing.Union[int, str]
+    group_name: str
+    inviter_id: typing.Optional[typing.Union[int, str]] = None
+    request_id: typing.Optional[typing.Union[int, str]] = None
+
+class BotRemovedFromGroup(BaseEventModel):
+    """Bot 被移出群组"""
+    group_id: typing.Union[int, str]
+    group_name: str
+    operator_id: typing.Optional[typing.Union[int, str]] = None
+
+class BotMuted(BaseEventModel):
+    """Bot 被禁言"""
+    group_id: typing.Union[int, str]
+    operator_id: typing.Optional[typing.Union[int, str]] = None
+    duration: typing.Optional[int] = None
+
+class BotUnmuted(BaseEventModel):
+    """Bot 被解除禁言"""
+    group_id: typing.Union[int, str]
+    operator_id: typing.Optional[typing.Union[int, str]] = None
+
+# ---- 平台特有事件 ----
+
+class PlatformSpecificEventReceived(BaseEventModel):
+    """平台特有事件"""
+    adapter_name: str
+    action: str
+    data: dict = {}
+```
+
+### 2.2 EventListener 注册方式
+
+插件的 EventListener 继续使用 `@self.handler(EventType)` 装饰器注册，只是可以注册的事件类型大幅增加：
+
+```python
+class MyEventListener(EventListener):
+    def __init__(self, host):
+        super().__init__(host)
+
+        # 现有方式（继续工作）
+        @self.handler(PersonNormalMessageReceived)
+        async def on_person_message(ctx: EventContext):
+            ...
+
+        # 新事件类型
+        @self.handler(GroupMemberJoined)
+        async def on_member_joined(ctx: EventContext):
+            group_name = ctx.event.group_name
+            member_name = ctx.event.member_name
+            await ctx.reply(MessageChain([
+                Plain(f"欢迎 {member_name} 加入 {group_name}！")
+            ]))
+
+        @self.handler(FriendRequestReceived)
+        async def on_friend_request(ctx: EventContext):
+            # 自动通过好友请求
+            await ctx.approve_friend_request(
+                ctx.event.request_id, approve=True
+            )
+
+        @self.handler(FeedbackReceived)
+        async def on_feedback(ctx: EventContext):
+            if ctx.event.feedback_type == 2:
+                await self.log_warning(
+                    f"用户点踩了回复: {ctx.event.feedback_content or ''}"
+                )
+
+        @self.handler(PlatformSpecificEventReceived)
+        async def on_platform_event(ctx: EventContext):
+            if ctx.event.adapter_name == "telegram" and ctx.event.action == "chat_join_request":
+                ...
+```
+
+## 3. 新 API 暴露
+
+### 3.1 LangBotAPIProxy 扩展
+
+在 `LangBotAPIProxy` 中新增以下方法，插件通过 `self.xxx()` 调用（在 BasePlugin 中继承）：
+
+```python
+class LangBotAPIProxy:
+    # ---- 现有方法（保留） ----
+    # get_langbot_version, get_bots, get_bot_info,
+    # send_message, invoke_llm, get/set/delete_plugin_storage, ...
+
+    # ---- 新增消息 API ----
+
+    async def edit_message(
+        self,
+        bot_uuid: str,
+        chat_type: str,
+        chat_id: typing.Union[int, str],
+        message_id: typing.Union[int, str],
+        new_content: MessageChain,
+    ) -> None:
+        """编辑已发送的消息"""
+        ...
+
+    async def delete_message(
+        self,
+        bot_uuid: str,
+        chat_type: str,
+        chat_id: typing.Union[int, str],
+        message_id: typing.Union[int, str],
+    ) -> None:
+        """删除/撤回消息"""
+        ...
+
+    async def forward_message(
+        self,
+        bot_uuid: str,
+        from_chat_type: str,
+        from_chat_id: typing.Union[int, str],
+        message_id: typing.Union[int, str],
+        to_chat_type: str,
+        to_chat_id: typing.Union[int, str],
+    ) -> dict:
+        """转发消息"""
+        ...
+
+    async def get_message(
+        self,
+        bot_uuid: str,
+        chat_type: str,
+        chat_id: typing.Union[int, str],
+        message_id: typing.Union[int, str],
+    ) -> dict:
+        """获取指定消息"""
+        ...
+
+    # ---- 新增群组 API ----
+
+    async def get_group_info(
+        self,
+        bot_uuid: str,
+        group_id: typing.Union[int, str],
+    ) -> dict:
+        """获取群组信息"""
+        ...
+
+    async def get_group_list(
+        self,
+        bot_uuid: str,
+    ) -> list[dict]:
+        """获取 Bot 加入的群组列表"""
+        ...
+
+    async def get_group_member_list(
+        self,
+        bot_uuid: str,
+        group_id: typing.Union[int, str],
+    ) -> list[dict]:
+        """获取群成员列表"""
+        ...
+
+    async def get_group_member_info(
+        self,
+        bot_uuid: str,
+        group_id: typing.Union[int, str],
+        user_id: typing.Union[int, str],
+    ) -> dict:
+        """获取指定群成员信息"""
+        ...
+
+    async def mute_member(
+        self,
+        bot_uuid: str,
+        group_id: typing.Union[int, str],
+        user_id: typing.Union[int, str],
+        duration: int = 0,
+    ) -> None:
+        """禁言群成员"""
+        ...
+
+    async def unmute_member(
+        self,
+        bot_uuid: str,
+        group_id: typing.Union[int, str],
+        user_id: typing.Union[int, str],
+    ) -> None:
+        """解除禁言"""
+        ...
+
+    async def kick_member(
+        self,
+        bot_uuid: str,
+        group_id: typing.Union[int, str],
+        user_id: typing.Union[int, str],
+    ) -> None:
+        """踢出群成员"""
+        ...
+
+    # ---- 新增用户 API ----
+
+    async def get_user_info(
+        self,
+        bot_uuid: str,
+        user_id: typing.Union[int, str],
+    ) -> dict:
+        """获取用户信息"""
+        ...
+
+    async def get_friend_list(
+        self,
+        bot_uuid: str,
+    ) -> list[dict]:
+        """获取好友列表"""
+        ...
+
+    async def approve_friend_request(
+        self,
+        bot_uuid: str,
+        request_id: typing.Union[int, str],
+        approve: bool = True,
+        remark: typing.Optional[str] = None,
+    ) -> None:
+        """处理好友请求"""
+        ...
+
+    async def approve_group_invite(
+        self,
+        bot_uuid: str,
+        request_id: typing.Union[int, str],
+        approve: bool = True,
+    ) -> None:
+        """处理入群邀请"""
+        ...
+
+    # ---- 新增透传 API ----
+
+    async def call_platform_api(
+        self,
+        bot_uuid: str,
+        action: str,
+        params: dict = {},
+    ) -> dict:
+        """调用适配器特有 API
+
+        Examples:
+            # Telegram: pin 消息
+            result = await self.call_platform_api(
+                bot_uuid, "pin_message",
+                {"chat_id": 123456, "message_id": 789}
+            )
+
+            # Discord: 创建频道
+            result = await self.call_platform_api(
+                bot_uuid, "create_channel",
+                {"guild_id": "...", "name": "new-channel"}
+            )
+        """
+        ...
+
+    # ---- 新增能力查询 API ----
+
+    async def get_supported_events(
+        self,
+        bot_uuid: str,
+    ) -> list[str]:
+        """获取指定 Bot 的适配器支持的事件类型"""
+        ...
+
+    async def get_supported_apis(
+        self,
+        bot_uuid: str,
+    ) -> list[str]:
+        """获取指定 Bot 的适配器支持的 API"""
+        ...
+```
+
+### 3.2 QueryBasedAPIProxy 扩展
+
+在事件处理上下文中（EventContext），通过 `QueryBasedAPIProxy` 新增便捷方法：
+
+```python
+class QueryBasedAPIProxy:
+    # ---- 现有方法（保留） ----
+    # reply, get_bot_uuid, set_query_var, get_query_var,
+    # create_new_conversation, ...
+
+    # ---- 新增便捷方法 ----
+
+    async def edit_message(
+        self,
+        message_id: typing.Union[int, str],
+        new_content: MessageChain,
+    ) -> None:
+        """在当前会话中编辑消息（自动使用当前 bot_uuid 和 chat 信息）"""
+        ...
+
+    async def delete_message(
+        self,
+        message_id: typing.Union[int, str],
+    ) -> None:
+        """在当前会话中删除消息"""
+        ...
+
+    async def approve_friend_request(
+        self,
+        request_id: typing.Union[int, str],
+        approve: bool = True,
+        remark: typing.Optional[str] = None,
+    ) -> None:
+        """处理好友请求（上下文中自动获取 bot_uuid）"""
+        ...
+
+    async def approve_group_invite(
+        self,
+        request_id: typing.Union[int, str],
+        approve: bool = True,
+    ) -> None:
+        """处理入群邀请"""
+        ...
+
+    async def get_group_info(self) -> dict:
+        """获取当前群组信息（仅群聊事件中可用）"""
+        ...
+
+    async def get_group_member_list(self) -> list[dict]:
+        """获取当前群组成员列表（仅群聊事件中可用）"""
+        ...
+
+    async def call_platform_api(
+        self,
+        action: str,
+        params: dict = {},
+    ) -> dict:
+        """调用平台特有 API（自动使用当前 bot_uuid）"""
+        ...
+```
+
+## 4. 兼容层设计
+
+### 4.1 事件兼容层
+
+当 PluginHandler 将新的 `MessageReceivedEvent` 分发给插件时，需要同时生成旧格式事件：
+
+```python
+class PluginEventCompatLayer:
+    """插件事件兼容层
+
+    将新的统一事件转换为旧的插件事件格式，
+    确保监听旧事件类型的插件仍能正常工作。
+    """
+
+    @staticmethod
+    def convert_to_legacy_events(
+        event: Event,
+    ) -> list[BaseEventModel]:
+        """将统一事件转换为旧插件事件列表
+
+        一个统一事件可能生成多个旧插件事件。
+        例如 MessageReceivedEvent 会同时生成：
+        - PersonMessageReceived / GroupMessageReceived（总是生成）
+        - PersonNormalMessageReceived / GroupNormalMessageReceived（非命令时）
+        - PersonCommandSent / GroupCommandSent（命令时）
+        """
+        legacy_events = []
+
+        if isinstance(event, MessageReceivedEvent):
+            if event.chat_type == ChatType.PRIVATE:
+                legacy_events.append(
+                    PersonMessageReceived(
+                        launcher_type="person",
+                        launcher_id=event.chat_id,
+                        sender_id=event.sender.id,
+                        message_event=event.to_legacy_friend_message(),
+                        message_chain=event.message_chain,
+                    )
+                )
+                # 命令检测后还会生成 PersonNormalMessageReceived
+                # 或 PersonCommandSent，在 Pipeline 阶段处理
+            elif event.chat_type == ChatType.GROUP:
+                legacy_events.append(
+                    GroupMessageReceived(
+                        launcher_type="group",
+                        launcher_id=event.chat_id,
+                        sender_id=event.sender.id,
+                        message_event=event.to_legacy_group_message(),
+                        message_chain=event.message_chain,
+                    )
+                )
+
+        # 新事件类型没有旧的对应物，不生成兼容事件
+        # 只有监听了新事件类型的插件才会收到
+
+        return legacy_events
+```
+
+### 4.2 分发流程
+
+```
+统一事件 (MessageReceivedEvent)
+    │
+    ├─→ 转换为旧格式 (PersonMessageReceived / GroupMessageReceived)
+    │   └─→ 分发给监听旧事件类型的插件 EventListener
+    │
+    └─→ 直接分发为新格式 (MessageReceivedEvent → 对应的插件事件)
+        └─→ 分发给监听新事件类型的插件 EventListener
+```
+
+插件 Runtime 在分发事件时检查每个 EventListener 注册的事件类型：
+- 如果注册的是旧类型（`PersonMessageReceived` 等），发送兼容层生成的旧格式事件
+- 如果注册的是新类型（`GroupMemberJoined` 等），发送新格式事件
+- 两者可以共存，同一个插件可以同时监听新旧类型
+
+### 4.3 API 兼容层
+
+现有插件使用的 API 不受影响：
+
+| 现有 API | 新架构行为 |
+|---------|----------|
+| `self.send_message(bot_uuid, target_type, target_id, message_chain)` | 不变，直接调用适配器的 `send_message` |
+| `ctx.reply(message_chain, quote_origin)` | 不变，在 MessageReceivedEvent 上下文中调用适配器的 `reply_message` |
+| `self.get_bots()` | 不变 |
+| `self.get_bot_info(bot_uuid)` | 不变 |
+
+新 API 只是额外新增的方法，不影响现有方法。
+
+## 5. 通信协议扩展
+
+### 5.1 新增 Action 枚举
+
+在 `entities/io/actions/enums.py` 中新增 action：
+
+```python
+class PluginToRuntimeAction(str, Enum):
+    # ---- 现有 actions（保留） ----
+    REGISTER_PLUGIN = "register_plugin"
+    REPLY = "reply"
+    SEND_MESSAGE = "send_message"
+    # ...
+
+    # ---- 新增消息 API ----
+    EDIT_MESSAGE = "edit_message"
+    DELETE_MESSAGE = "delete_message"
+    FORWARD_MESSAGE = "forward_message"
+    GET_MESSAGE = "get_message"
+
+    # ---- 新增群组 API ----
+    GET_GROUP_INFO = "get_group_info"
+    GET_GROUP_LIST = "get_group_list"
+    GET_GROUP_MEMBER_LIST = "get_group_member_list"
+    GET_GROUP_MEMBER_INFO = "get_group_member_info"
+    MUTE_MEMBER = "mute_member"
+    UNMUTE_MEMBER = "unmute_member"
+    KICK_MEMBER = "kick_member"
+
+    # ---- 新增用户 API ----
+    GET_USER_INFO = "get_user_info"
+    GET_FRIEND_LIST = "get_friend_list"
+    APPROVE_FRIEND_REQUEST = "approve_friend_request"
+    APPROVE_GROUP_INVITE = "approve_group_invite"
+
+    # ---- 新增透传 API ----
+    CALL_PLATFORM_API = "call_platform_api"
+
+    # ---- 新增能力查询 ----
+    GET_SUPPORTED_EVENTS = "get_supported_events"
+    GET_SUPPORTED_APIS = "get_supported_apis"
+
+
+class RuntimeToPluginAction(str, Enum):
+    # ---- 现有 actions（保留） ----
+    EMIT_EVENT = "emit_event"
+    # ...
+    # EMIT_EVENT 的 data 结构扩展以支持新事件类型
+```
+
+### 5.2 新增 Action 的请求/响应格式
+
+以 `EDIT_MESSAGE` 为例：
+
+```json
+// 请求 (Plugin → Runtime)
+{
+    "action": "edit_message",
+    "seq_id": 12345,
+    "data": {
+        "bot_uuid": "...",
+        "chat_type": "group",
+        "chat_id": "123456",
+        "message_id": "789",
+        "new_content": [
+            { "type": "Plain", "text": "edited message" }
+        ]
+    }
+}
+
+// 响应 (Runtime → Plugin)
+{
+    "seq_id": 12345,
+    "code": 0,
+    "message": "ok",
+    "data": {}
+}
+```
+
+以 `GET_GROUP_MEMBER_LIST` 为例：
+
+```json
+// 请求
+{
+    "action": "get_group_member_list",
+    "seq_id": 12346,
+    "data": {
+        "bot_uuid": "...",
+        "group_id": "123456"
+    }
+}
+
+// 响应
+{
+    "seq_id": 12346,
+    "code": 0,
+    "message": "ok",
+    "data": {
+        "members": [
+            {
+                "user": { "id": "111", "nickname": "Alice" },
+                "group_id": "123456",
+                "role": "admin",
+                "display_name": "管理员Alice"
+            },
+            ...
+        ]
+    }
+}
+```
+
+以 `CALL_PLATFORM_API` 为例：
+
+```json
+// 请求
+{
+    "action": "call_platform_api",
+    "seq_id": 12347,
+    "data": {
+        "bot_uuid": "...",
+        "action": "pin_message",
+        "params": {
+            "chat_id": "123456",
+            "message_id": "789"
+        }
+    }
+}
+
+// 响应
+{
+    "seq_id": 12347,
+    "code": 0,
+    "message": "ok",
+    "data": {
+        "result": { ... }
+    }
+}
+```
+
+### 5.3 LangBot 侧 Handler 实现
+
+在 `ControlConnectionHandler`（LangBot → Runtime 侧）和 `PluginConnectionHandler`（Runtime → Plugin 侧）中新增对应的 action 处理逻辑：
+
+```python
+# PluginConnectionHandler 中新增
+async def _handle_edit_message(self, data):
+    bot_uuid = data["bot_uuid"]
+    bot = await self.ap.platform_mgr.get_bot_by_uuid(bot_uuid)
+    await bot.adapter.edit_message(
+        chat_type=data["chat_type"],
+        chat_id=data["chat_id"],
+        message_id=data["message_id"],
+        new_content=MessageChain.model_validate(data["new_content"]),
+    )
+    return {}
+
+async def _handle_call_platform_api(self, data):
+    bot_uuid = data["bot_uuid"]
+    bot = await self.ap.platform_mgr.get_bot_by_uuid(bot_uuid)
+    result = await bot.adapter.call_platform_api(
+        action=data["action"],
+        params=data.get("params", {}),
+    )
+    return {"result": result}
+```
+
+## 6. 插件开发者迁移指南
+
+### 6.1 无需迁移（零修改运行）
+
+以下场景的现有插件**不需要任何修改**：
+
+- 使用 `PersonNormalMessageReceived` / `GroupNormalMessageReceived` 监听消息
+- 使用 `PersonCommandSent` / `GroupCommandSent` 处理命令
+- 使用 `ctx.reply()` 回复消息
+- 使用 `self.send_message()` 主动发消息
+- 使用 LLM / 存储 / RAG 等现有 API
+
+### 6.2 推荐迁移（获得新能力）
+
+如果插件希望利用新功能，可以：
+
+1. **监听新事件类型**：在 EventListener 中注册新事件类型的 handler
+2. **使用新 API**：调用 `self.edit_message()`, `self.get_group_info()` 等
+3. **使用透传 API**：调用 `self.call_platform_api()` 使用平台特有功能
+
+### 6.3 SDK 版本号
+
+新功能通过提升 SDK minor 版本发布：
+
+- 现有版本：`langbot-plugin-sdk >= x.y.z`
+- 新版本：`langbot-plugin-sdk >= x.(y+1).0`
+
+插件的 `manifest.yaml` 中的 `min_sdk_version` 决定是否能使用新 API。使用旧 SDK 版本的插件在新 LangBot 上正常运行（兼容层保证），只是无法调用新 API。

docs/event-based-agents/06-migration-plan.md

@@ -0,0 +1,429 @@
+# 分阶段迁移计划
+
+## 1. 概述
+
+EBA 架构涉及 langbot-plugin-sdk、LangBot 后端、LangBot 前端、文档和示例插件等多个仓库的改动。为降低风险、保证系统稳定性，采用分阶段渐进式迁移策略。
+
+### 1.1 阶段总览
+
+| 阶段 | 名称 | 范围 | 依赖 |
+|------|------|------|------|
+| Phase 1 | SDK 实体层 | langbot-plugin-sdk | 无 |
+| Phase 2 | 适配器重构 | LangBot 后端 | Phase 1 |
+| Phase 3 | 核心系统 | LangBot 后端 | Phase 2 |
+| Phase 4 | 插件 SDK 集成 | langbot-plugin-sdk + LangBot | Phase 3 |
+| Phase 5 | WebUI 编排面板 | LangBot 前端 | Phase 3 |
+| Phase 6 | 文档与示例 | langbot-wiki + langbot-plugin-demo | Phase 4, 5 |
+
+### 1.2 核心原则
+
+- **每个阶段结束后系统可运行**：任何阶段完成后，现有功能不受影响
+- **向后兼容贯穿全程**：旧接口在整个迁移期间保持可用
+- **先 SDK 后实现**：先定义好接口和模型，再做具体实现
+- **先核心适配器后边缘**：优先迁移用户量大的适配器
+
+---
+
+## 2. Phase 1：SDK 实体层
+
+**目标**：在 langbot-plugin-sdk 中定义新的事件体系、通用实体、API 接口和适配器基类。
+
+**仓库**：`langbot-plugin-sdk`
+
+### 2.1 任务清单
+
+| # | 任务 | 文件/模块 | 说明 |
+|---|------|----------|------|
+| 1.1 | 定义通用事件基类层次 | `api/entities/builtin/platform/events.py` | 新增 `MessageReceivedEvent`, `MessageEditedEvent`, `GroupMemberJoinedEvent` 等，保留现有 `FriendMessage`/`GroupMessage` |
+| 1.2 | 定义平台特有事件基类 | `api/entities/builtin/platform/events.py` | 新增 `PlatformSpecificEvent` |
+| 1.3 | 扩展通用实体 | `api/entities/builtin/platform/entities.py` | 新增 `User`（统一 Friend/GroupMember 的基础）、`Channel` 等，保留现有实体 |
+| 1.4 | 清理消息组件 | `api/entities/builtin/platform/message.py` | 将 `WeChatMiniPrograms` 等 WeChat 特有组件标记为 platform-specific，不再作为通用组件 |
+| 1.5 | 定义新适配器基类 | `api/definition/abstract/platform/adapter.py` | 新增 `AbstractPlatformAdapter`（继承现有 `AbstractMessagePlatformAdapter` 并扩展通用 API 方法），保留旧基类 |
+| 1.6 | 定义 API 能力声明 | `api/definition/abstract/platform/capabilities.py`（新文件） | `AdapterCapabilities` 数据类，声明适配器支持的事件和 API |
+| 1.7 | 定义 `NotSupportedError` | `api/entities/builtin/platform/errors.py`（新文件） | 可选 API 未实现时抛出的异常 |
+
+### 2.2 关键设计约束
+
+- 所有新增定义以**新增文件或新增类**的方式引入，**不修改**现有类的字段和方法签名
+- 现有 `AbstractMessagePlatformAdapter` 保留不动，新基类 `AbstractPlatformAdapter` 继承它
+- 新事件类与旧事件类并存，通过 `event_type` 字段（命名空间字符串）区分
+
+### 2.3 验收标准
+
+- [ ] 所有新增类可正常 import 且通过类型检查
+- [ ] 现有 `FriendMessage`, `GroupMessage`, `AbstractMessagePlatformAdapter` 等类行为不变
+- [ ] 新增单元测试覆盖事件序列化/反序列化、实体构造
+- [ ] SDK 版本号 minor bump（如 `0.x.0` → `0.x+1.0`）
+
+---
+
+## 3. Phase 2：适配器重构
+
+**目标**：将现有单文件适配器迁移到独立目录结构，实现新事件监听和通用 API。
+
+**仓库**：`LangBot`（后端）
+
+### 3.1 适配器迁移优先级
+
+根据用户量和代表性，建议按以下顺序迁移：
+
+| 优先级 | 适配器 | 理由 |
+|--------|--------|------|
+| P0 | **Telegram** | 用户量大，API 最完善，适合作为参考实现 |
+| P0 | **Discord** | 国际用户主要平台，事件类型丰富 |
+| P1 | **aiocqhttp**（OneBot v11） | 国内 QQ 用户主要适配器 |
+| P1 | **Satori** | 通用协议适配器，覆盖多个平台 |
+| P2 | **Lark** / **DingTalk** / **Slack** | 企业平台，用户量中等 |
+| P2 | **qqofficial** / **WeChat 系列** | 国内用户 |
+| P3 | **Kook** / **LINE** / **WeCom 系列** | 用户量较小 |
+| P3 | **WebSocket** | 内置适配器，相对简单 |
+| P4 | **legacy/*** | 遗留适配器，按需决定是否迁移或废弃 |
+
+### 3.2 单个适配器迁移步骤（以 Telegram 为例）
+
+| # | 任务 | 说明 |
+|---|------|------|
+| 2.1 | 创建目录结构 | `pkg/platform/adapters/telegram/` 下创建 `__init__.py`, `adapter.py`, `event_converter.py`, `message_converter.py`, `api_impl.py`, `types.py`, `manifest.yaml` |
+| 2.2 | 迁移消息转换器 | 将 `TelegramMessageConverter` 从 `sources/telegram.py` 搬到 `adapters/telegram/message_converter.py`，逻辑不变 |
+| 2.3 | 重写事件转换器 | 新的 `TelegramEventConverter` 支持将 Telegram Update 转换为所有通用事件类型（不只是消息），不支持的事件转为 `PlatformSpecificEvent` |
+| 2.4 | 实现通用 API | 在 `api_impl.py` 中实现 `edit_message`, `delete_message`, `get_group_info` 等 Telegram 支持的通用 API |
+| 2.5 | 实现透传 API | 在 `adapter.py` 中实现 `call_platform_api`，将 action 映射到 Telegram Bot API 调用 |
+| 2.6 | 声明能力 | 在 `manifest.yaml` 或适配器类中声明支持的事件和 API 列表 |
+| 2.7 | 新建 Adapter 主类 | `TelegramAdapter` 继承 `AbstractPlatformAdapter`（新基类），委托各模块实现 |
+| 2.8 | 更新 manifest.yaml | 更新 `execution.python.path` 指向新位置 |
+| 2.9 | 验证 | 确保新适配器通过现有消息收发流程的测试 |
+
+### 3.3 基础设施任务
+
+| # | 任务 | 说明 |
+|---|------|------|
+| 2.A | 创建 `adapters/_base/` | 将 SDK 中新基类的运行时辅助代码放在此处（如事件分发辅助函数） |
+| 2.B | 更新 ComponentDiscovery | 使 `discover_blueprint` 支持扫描 `adapters/` 子目录中的 YAML |
+| 2.C | 更新 `templates/components.yaml` | 将 `fromDirs` 从 `pkg/platform/sources/` 改为 `pkg/platform/adapters/`（过渡期两个都扫描） |
+| 2.D | 保留旧 sources/ | 过渡期不删除旧文件，通过 manifest 的 `deprecated: true` 标记 |
+
+### 3.4 验收标准
+
+- [ ] 已迁移的适配器在新目录结构下正常启动和收发消息
+- [ ] 新事件（如 `message.edited`）在支持的平台上正确触发
+- [ ] 通用 API（如 `edit_message`）在支持的平台上正确执行
+- [ ] 未迁移的适配器（仍在 `sources/`）继续正常工作
+- [ ] ComponentDiscovery 同时扫描新旧目录
+
+---
+
+## 4. Phase 3：核心系统
+
+**目标**：实现 EventBus、EventRouter 和事件处理器框架，将事件从适配器分发到不同的处理器。
+
+**仓库**：`LangBot`（后端）
+
+### 4.1 任务清单
+
+| # | 任务 | 文件/模块 | 说明 |
+|---|------|----------|------|
+| 3.1 | 实现 EventBus | `pkg/platform/event_bus.py`（新文件） | 事件总线：接收适配器事件，进行日志记录，分发给 EventRouter |
+| 3.2 | 实现 EventRouter | `pkg/platform/event_router.py`（新文件） | 事件路由引擎：读取 Bot 的 `event_handlers` 配置，匹配事件类型，分发到对应 Handler |
+| 3.3 | 实现 PipelineHandler | `pkg/platform/handlers/pipeline_handler.py` | 将 `message.received` 事件转为现有 Query，进入 Pipeline 流水线 |
+| 3.4 | 实现 AgentHandler | `pkg/platform/handlers/agent_handler.py` | 直接调用 RequestRunner 处理事件，不经过 Pipeline 多 Stage 流程 |
+| 3.5 | 实现 WebhookHandler | `pkg/platform/handlers/webhook_handler.py` | 将事件 POST 到外部 URL，解析响应执行动作（重构现有 WebhookPusher） |
+| 3.6 | 实现 PluginHandler | `pkg/platform/handlers/plugin_handler.py` | 将事件分发给插件 EventListener（复用现有 plugin_connector 机制） |
+| 3.7 | Bot 实体扩展 | `pkg/entity/persistence/bot.py` | 新增 `event_handlers` JSON 字段 |
+| 3.8 | 数据库迁移 | `pkg/persistence/migrations/` | 新增迁移脚本：添加 `event_handlers` 列，将现有 `use_pipeline_uuid` 数据迁移为 `event_handlers` 格式 |
+| 3.9 | 重构 RuntimeBot | `pkg/platform/botmgr.py` | 将 `initialize()` 中硬编码的 `on_friend_message`/`on_group_message` 回调替换为通过 EventBus 分发所有事件 |
+| 3.10 | 重构 MessageAggregator | `pkg/pipeline/aggregator.py` | 从 RuntimeBot 解耦，作为 PipelineHandler 的内部机制（只对 `message.received` 事件生效） |
+| 3.11 | Agent Handler 中 RequestRunner 解耦 | `pkg/provider/runner.py` + handlers | RequestRunner 需要能独立于 Pipeline Stage 运行，为 Agent Handler 提供轻量调用路径 |
+| 3.12 | HTTP API 扩展 | `pkg/api/http/controller/` | 新增/更新 Bot API 端点以支持 `event_handlers` 的 CRUD |
+
+### 4.2 数据迁移策略
+
+现有 Bot 表有 `use_pipeline_uuid` 字段，需要自动迁移为 `event_handlers`：
+
+```python
+# 迁移逻辑伪代码
+for bot in all_bots:
+    if bot.use_pipeline_uuid:
+        bot.event_handlers = [
+            {
+                "event_type": "message.received",
+                "handler_type": "pipeline",
+                "handler_config": {
+                    "pipeline_uuid": bot.use_pipeline_uuid
+                }
+            }
+        ]
+    else:
+        bot.event_handlers = []
+```
+
+### 4.3 RuntimeBot 重构要点
+
+当前 `RuntimeBot.initialize()` 硬编码注册两个回调：
+
+```python
+# 现有代码 (botmgr.py)
+self.adapter.register_listener(FriendMessage, on_friend_message)
+self.adapter.register_listener(GroupMessage, on_group_message)
+```
+
+重构后改为注册通用事件回调：
+
+```python
+# 新代码
+async def on_event(event: Event, adapter: AbstractPlatformAdapter):
+    await self.event_bus.emit(
+        bot_uuid=self.bot_entity.uuid,
+        event=event,
+        adapter=adapter,
+    )
+
+# 注册所有事件类型的统一回调
+self.adapter.register_listener(Event, on_event)
+```
+
+EventBus 接收事件后，调用 EventRouter 按配置分发。
+
+### 4.4 事件处理器执行流程
+
+```
+EventBus.emit(bot_uuid, event, adapter)
+    │
+    ▼
+EventRouter.route(bot_uuid, event)
+    │ 查询 bot.event_handlers 配置
+    │ 匹配 event_type（精确匹配 > 通配符 *）
+    ▼
+匹配到的 Handler(s)
+    │
+    ├── PipelineHandler.handle(event, adapter)
+    │   │ 仅支持 message.received
+    │   │ 构造 Query → MessageAggregator → QueryPool → Pipeline
+    │   └── 沿用现有完整流水线机制
+    │
+    ├── AgentHandler.handle(event, adapter)
+    │   │ 根据 handler_config 选择 RequestRunner
+    │   │ 直接调用 runner.run() 处理事件
+    │   └── 将结果通过 adapter API 回复
+    │
+    ├── WebhookHandler.handle(event, adapter)
+    │   │ 序列化事件为 JSON
+    │   │ POST 到 handler_config.url
+    │   └── 解析响应，执行动作（回复消息、调用 API 等）
+    │
+    └── PluginHandler.handle(event, adapter)
+        │ 通过 plugin_connector 分发给插件
+        └── 插件 EventListener 处理
+```
+
+### 4.5 验收标准
+
+- [ ] `message.received` 事件通过 PipelineHandler 正确进入现有 Pipeline（与旧行为一致）
+- [ ] 新增事件（如 `group.member_joined`）能通过 PluginHandler 分发给插件
+- [ ] AgentHandler 能直接调用 RequestRunner（至少 `local-agent`）处理事件并回复
+- [ ] WebhookHandler 能将事件 POST 到外部 URL
+- [ ] 数据库迁移正确执行，`use_pipeline_uuid` 数据迁移到 `event_handlers`
+- [ ] 现有 Bot 在不修改配置的情况下行为不变（自动迁移保证）
+
+---
+
+## 5. Phase 4：插件 SDK 集成
+
+**目标**：将新事件和 API 通过插件 SDK 暴露给插件开发者，同时实现兼容层。
+
+**仓库**：`langbot-plugin-sdk` + `LangBot`
+
+### 5.1 任务清单
+
+| # | 任务 | 说明 |
+|---|------|------|
+| 4.1 | 新增插件事件包装 | 在 `api/entities/events.py` 中为每个通用事件新增插件级事件类（如 `MessageEditedReceived`, `MemberJoinedReceived`） |
+| 4.2 | 兼容层实现 | `PersonMessageReceived` / `GroupMessageReceived` 由新的 `MessageReceivedEvent` 自动生成，旧事件作为新事件的 alias |
+| 4.3 | 新 API 暴露 | 在 `LangBotAPIProxy` 中新增方法：`edit_message`, `delete_message`, `get_group_info`, `get_user_info`, `call_platform_api` 等 |
+| 4.4 | 通信协议扩展 | 在 `entities/io/actions/enums.py` 中新增 action 枚举（如 `EDIT_MESSAGE`, `DELETE_MESSAGE`, `GET_GROUP_INFO`, `CALL_PLATFORM_API`） |
+| 4.5 | Runtime Handler 扩展 | 在 PluginConnectionHandler / ControlConnectionHandler 中添加新 action 的处理逻辑 |
+| 4.6 | EventListener 扩展 | 确保 `@handler()` 装饰器支持注册新事件类型 |
+| 4.7 | QueryBasedAPI 扩展 | 在 `QueryBasedAPIProxy` 中新增事件上下文相关的 API（如 `get_event_source_adapter`） |
+
+### 5.2 兼容层详细设计
+
+```
+新事件系统                         旧事件系统（兼容层）
+─────────────                    ─────────────────
+MessageReceivedEvent             ┌→ PersonMessageReceived (chat_type == "private")
+  (chat_type: "private"|"group") ┤
+                                 └→ GroupMessageReceived  (chat_type == "group")
+```
+
+**实现方式**：在 RuntimeEventDispatcher 中，当分发 `MessageReceivedEvent` 给插件时，同时生成对应的旧事件类实例。插件可以用新事件类或旧事件类注册 handler，都能收到。
+
+### 5.3 验收标准
+
+- [ ] 现有插件（使用旧事件和 API）无需修改即可运行
+- [ ] 新插件可以使用新事件类型（如 `MemberJoinedReceived`）注册 handler
+- [ ] 新 API（如 `edit_message`）可通过 `self.edit_message()` 或 `event_context.edit_message()` 调用
+- [ ] 透传 API `call_platform_api` 可正常调用适配器特有功能
+- [ ] 所有新 action 的通信协议正确工作（stdio / WebSocket）
+
+---
+
+## 6. Phase 5：WebUI 编排面板
+
+**目标**：在 WebUI 的 Bot 管理页面实现事件处理器的可视化编排。
+
+**仓库**：`LangBot`（前端 `web/`）
+
+### 6.1 任务清单
+
+| # | 任务 | 说明 |
+|---|------|------|
+| 5.1 | Bot 编辑页面扩展 | 在 Bot 编辑页面新增「事件处理」面板 |
+| 5.2 | 事件处理器列表组件 | 可视化展示当前 Bot 的 `event_handlers` 列表，支持增删改排序 |
+| 5.3 | 事件类型选择器 | 下拉选择事件类型（命名空间分组展示），支持通配符 `*` |
+| 5.4 | Handler 类型选择与配置 | 选择 handler 类型后展示对应的配置表单（Pipeline 选择器、Runner 选择器、Webhook URL 等） |
+| 5.5 | Pipeline Handler 配置 | 复用现有的 Pipeline 选择 UI（从现有 `use_pipeline_uuid` 选择器迁移） |
+| 5.6 | Agent Handler 配置 | Runner 选择器（local-agent / dify / n8n / coze 等）+ Runner 参数配置表单 |
+| 5.7 | Webhook Handler 配置 | URL 输入、认证方式选择、Header 配置 |
+| 5.8 | Plugin Handler 配置 | 通常无需额外配置，分发给所有匹配的插件 EventListener |
+| 5.9 | HTTP API 对接 | 前端调用后端 API 保存/读取 `event_handlers` 配置 |
+| 5.10 | 迁移提示 | 对于从旧版本升级的用户，如果检测到 `use_pipeline_uuid` 已自动迁移，展示提示说明 |
+
+### 6.2 UI 交互设计概要
+
+```
+┌─ Bot 编辑页面 ─────────────────────────────────────┐
+│                                                     │
+│  基本信息  │  适配器配置  │  ★ 事件处理  │           │
+│                                                     │
+│  ┌─ 事件处理器列表 ────────────────────────────┐    │
+│  │                                              │    │
+│  │  ① message.received → Pipeline: "主流水线"   │    │
+│  │     [编辑] [删除]                            │    │
+│  │                                              │    │
+│  │  ② group.member_joined → Agent: local-agent  │    │
+│  │     [编辑] [删除]                            │    │
+│  │                                              │    │
+│  │  ③ * (默认) → Plugin                         │    │
+│  │     [编辑] [删除]                            │    │
+│  │                                              │    │
+│  │  [+ 添加事件处理器]                           │    │
+│  │                                              │    │
+│  └──────────────────────────────────────────────┘    │
+│                                                     │
+│                              [保存]  [取消]          │
+└─────────────────────────────────────────────────────┘
+```
+
+### 6.3 验收标准
+
+- [ ] 用户可以在 WebUI 上为 Bot 添加/编辑/删除事件处理器
+- [ ] 四种 Handler 类型均有对应的配置表单
+- [ ] 配置保存后正确写入数据库 `event_handlers` 字段
+- [ ] 旧版本升级后，自动迁移的配置在 UI 上正确展示
+- [ ] Pipeline Handler 的行为与旧的 `use_pipeline_uuid` 完全一致
+
+---
+
+## 7. Phase 6：文档与示例
+
+**目标**：更新所有面向开发者的文档和示例。
+
+**仓库**：`langbot-wiki`, `langbot-plugin-demo`
+
+### 7.1 任务清单
+
+| # | 任务 | 仓库 | 说明 |
+|---|------|------|------|
+| 6.1 | EBA 架构概览文档 | langbot-wiki | 面向用户的新架构说明 |
+| 6.2 | 适配器开发指南更新 | langbot-wiki | 如何开发一个新的适配器（新目录结构、新基类、事件转换等） |
+| 6.3 | 插件开发指南更新 | langbot-wiki | 新事件类型、新 API 的使用说明 |
+| 6.4 | 插件迁移指南 | langbot-wiki | 现有插件如何迁移到新事件/API（如果需要使用新能力） |
+| 6.5 | 事件处理器配置指南 | langbot-wiki | WebUI 上如何配置事件处理器 |
+| 6.6 | 示例插件更新 | langbot-plugin-demo | HelloPlugin 增加新事件监听示例、新 API 调用示例 |
+| 6.7 | 新示例插件 | langbot-plugin-demo | 新建一个示例展示非消息事件处理（如入群欢迎） |
+
+---
+
+## 8. 风险评估与缓解
+
+### 8.1 技术风险
+
+| 风险 | 影响 | 概率 | 缓解措施 |
+|------|------|------|----------|
+| 适配器迁移中断现有功能 | 高 | 中 | 新旧目录并存，ComponentDiscovery 同时扫描两个目录，逐个适配器迁移验证 |
+| 事件模型不兼容导致插件崩溃 | 高 | 低 | 兼容层保证旧事件类型继续工作，新增类不修改旧类 |
+| 数据库迁移失败 | 高 | 低 | 迁移脚本做前置校验，`use_pipeline_uuid` 在过渡期保留不删除 |
+| RequestRunner 解耦破坏 Pipeline | 高 | 中 | Agent Handler 调用 Runner 的路径独立于 Pipeline，不修改现有 Pipeline Stage 中的 Runner 调用逻辑 |
+| 性能回退（EventBus 额外开销） | 中 | 低 | EventBus 在进程内同步分发，无额外序列化/网络开销 |
+| 各平台事件差异大难以统一 | 中 | 中 | 通用事件只抽象最大公约数字段，差异部分保留在 `source_platform_object`；不支持的事件走 `PlatformSpecificEvent` |
+
+### 8.2 兼容性风险
+
+| 风险 | 缓解措施 |
+|------|----------|
+| 现有插件使用旧事件类 | 兼容层自动将新事件转为旧事件分发，两种事件类都能注册 handler |
+| 现有插件调用 `reply()` / `send_message()` | 这两个 API 保持不变，只是底层实现可能微调 |
+| 第三方基于 `AbstractMessagePlatformAdapter` 开发的适配器 | 旧基类保留，新基类继承旧基类，第三方适配器无需立即迁移 |
+| 用户自定义 Pipeline 配置 | Pipeline 机制完整保留，PipelineHandler 只是入口变了（从 RuntimeBot 硬编码变为 EventRouter 配置） |
+
+### 8.3 回滚策略
+
+每个 Phase 独立可回滚：
+
+- **Phase 1**（SDK 新增类）：删除新增文件，回退 SDK 版本号
+- **Phase 2**（适配器目录）：恢复 `components.yaml` 的 `fromDirs` 指向旧目录，旧 sources/ 未删除
+- **Phase 3**（核心系统）：回退数据库迁移，恢复 RuntimeBot 旧的硬编码回调
+- **Phase 4**（插件集成）：回退 SDK 版本，插件使用旧版 SDK
+- **Phase 5**（WebUI）：前端回退，Bot 编辑页面隐藏事件处理面板
+
+---
+
+## 9. 里程碑与时间线建议
+
+| 里程碑 | 阶段 | 预期产出 |
+|--------|------|----------|
+| M1 | Phase 1 完成 | SDK 新版本发布，包含新事件/实体/基类定义 |
+| M2 | Phase 2 首批适配器（Telegram + Discord） | 两个参考实现，验证目录结构和事件/API 体系 |
+| M3 | Phase 3 核心系统 | EventBus + EventRouter + 四种 Handler 可用 |
+| M4 | Phase 2 剩余适配器 | 所有活跃适配器迁移完成 |
+| M5 | Phase 4 插件集成 | 新 SDK 发布，插件可使用新事件和 API |
+| M6 | Phase 5 WebUI | 事件处理器编排面板上线 |
+| M7 | Phase 6 文档 | 开发者文档和示例更新完毕 |
+
+建议 M1-M3 作为第一个大版本发布（如 v5.0），M4-M7 在后续小版本迭代中完成。
+
+---
+
+## 10. 开发指引
+
+### 10.1 分支策略
+
+建议在主仓库创建 `feature/eba` 长期特性分支，各 Phase 在子分支上开发后合入特性分支：
+
+```
+main
+  └── feature/eba
+        ├── feature/eba-sdk-entities      (Phase 1)
+        ├── feature/eba-adapter-telegram   (Phase 2)
+        ├── feature/eba-adapter-discord    (Phase 2)
+        ├── feature/eba-core-system        (Phase 3)
+        ├── feature/eba-plugin-sdk         (Phase 4)
+        └── feature/eba-webui              (Phase 5)
+```
+
+### 10.2 测试策略
+
+| 层次 | 测试内容 | 工具 |
+|------|----------|------|
+| 单元测试 | 事件序列化/反序列化、实体构造、API 调用 mock | pytest |
+| 集成测试 | EventBus → EventRouter → Handler 全链路 | pytest + asyncio |
+| 适配器测试 | 各适配器的事件转换、消息转换、API 调用 | pytest + mock SDK |
+| 端到端测试 | 从模拟平台事件到完整处理流程 | staging 环境 |
+| 插件兼容性测试 | 旧插件在新系统下的行为 | langbot-plugin-demo |
+
+### 10.3 代码审查关注点
+
+- 新增代码是否影响现有行为
+- 兼容层是否正确映射所有旧事件/API 场景
+- 数据库迁移是否可逆
+- 新 API 的错误处理（`NotSupportedError`）是否一致
+- 事件模型的序列化在 stdio/WebSocket 通信中是否正确

docs/event-based-agents/adapters/00-index.md

@@ -0,0 +1,39 @@
+# EBA Adapter Migration Records
+
+This directory records adapter-level migration details for the Event-Based Agents architecture. Each adapter document should be kept close to the implementation and must answer four questions:
+
+1. What changed in the adapter structure.
+2. Which configuration fields are required.
+3. Which events and APIs are supported.
+4. What has been verified end to end.
+
+## Adapter Documents
+
+General acceptance checklist: [EBA Adapter Acceptance Checklist](./acceptance-checklist.md)
+
+Current acceptance report: [EBA Adapter Acceptance Report](./acceptance-report.md)
+
+| Adapter | Status | Document |
+|---------|--------|----------|
+| Telegram | Migrated; partial plugin E2E, real UI inbound image/file verified | [Telegram](./telegram.md) |
+| Discord | Migrated; partial plugin E2E, media-inbound gaps remain | [Discord](./discord.md) |
+| OneBot v11 / aiocqhttp | Migrated; Matcha UI plus protocol-level multi-component coverage | [OneBot v11 / aiocqhttp](./aiocqhttp.md) |
+| DingTalk | Migrated; partial plugin E2E, real UI inbound image/file verified; group gap remains | [DingTalk](./dingtalk.md) |
+| Lark / Feishu | Migrated; partial live text E2E, media-inbound gap remains | [Lark / Feishu](./lark.md) |
+| WeCom | Migrated; private text plugin E2E verified, media/group gaps remain | [WeCom](./wecom.md) |
+| WeComBot | Migrated; private text and outbound/API plugin E2E verified, feedback/group gaps remain | [WeComBot](./wecombot.md) |
+| Official Account | Migrated; private text plugin E2E verified, proactive outbound not supported | [Official Account](./officialaccount.md) |
+| QQ Official API | Migrated; WebSocket inbound reached LangBot, model config blocked reply | [QQ Official API](./qqofficial.md) |
+| Slack | Migrated; private text and outbound/API plugin E2E verified | [Slack](./slack.md) |
+
+## Documentation Checklist
+
+When migrating a new adapter, add one document here with:
+
+- Configuration table matching the adapter manifest.
+- Supported event list.
+- Supported common API list.
+- Supported `call_platform_api` action list.
+- Known unsupported APIs and the reason.
+- Live test notes, including platform, channel type, destructive operations, and residual risks.
+- A clear distinction between real UI inbound media, protocol-level injected inbound media, and bot outbound media.

docs/event-based-agents/adapters/acceptance-checklist.md

@@ -0,0 +1,208 @@
+# EBA Adapter Acceptance Checklist
+
+This checklist is the architecture-level acceptance standard for every Event-Based Agents platform adapter. It is not platform-specific. Adapter migration is not complete until the adapter has a written result against this checklist.
+
+## Evidence Levels
+
+Use these evidence levels consistently in adapter records:
+
+| Level | Meaning | Can Mark Complete |
+|-------|---------|-------------------|
+| `plugin-e2e-ui` | Real SDK plugin running through standalone runtime, LangBot core, the migrated adapter, and a real platform/simulator UI action. | Yes |
+| `plugin-e2e-protocol` | Real SDK plugin running through standalone runtime, LangBot core, and the migrated adapter from a protocol-boundary event injection, such as a OneBot reverse WebSocket event. | Partial; must not be claimed as UI coverage |
+| `plugin-e2e-outbound` | Real SDK plugin calls an API and the bot output is visible in the real platform/simulator UI. | Yes for send/API coverage only |
+| `adapter-live` | Direct adapter probe connected to a real or simulator platform endpoint, bypassing plugin runtime. | No, auxiliary only |
+| `unit` | Unit/API-shape tests with mocked platform SDK objects or mocked APIs. | No, auxiliary only |
+| `not-supported` | Platform protocol or SDK has no equivalent capability. Must include reason and source. | Yes, as explicitly unsupported |
+| `blocked` | Intended capability could not be verified because of credentials, permissions, endpoint gaps, or simulator gaps. | No |
+
+The primary acceptance path must be `plugin-e2e-ui` for inbound UI-triggered behavior and `plugin-e2e-outbound` for bot send/API behavior. `adapter-live`, `plugin-e2e-protocol`, and `unit` tests are useful, but they must be labelled precisely.
+
+## Required Architecture Path
+
+Every adapter must prove this full path:
+
+```text
+Real platform / simulator UI
+  -> platform SDK native event
+  -> adapter event converter
+  -> unified EBA event/entity/message types
+  -> LangBot core event dispatch
+  -> standalone SDK runtime
+  -> real test plugin listener
+  -> plugin calls platform APIs through SDK
+  -> LangBot core API dispatch
+  -> adapter API implementation
+  -> real platform / simulator UI
+```
+
+The test plugin must record JSONL evidence containing:
+
+- event class and `event.type`
+- `bot_uuid` and `adapter_name` as received by the plugin
+- adapter name
+- chat type and chat ID
+- sender/user/group IDs with secrets redacted
+- message component list for received messages
+- API action name, input summary, result or error
+- raw unsupported/blocked reason when an item is skipped
+
+## Required Message Receive Tests
+
+For every adapter, inbound message conversion must be tested through `plugin-e2e-ui` for each component the platform can receive. If a protocol-level injection is used, label it `plugin-e2e-protocol`; it proves the adapter/core/plugin path, but it does not prove that the user-facing platform UI can send that component. If the platform UI/simulator cannot create a component, record it as `blocked` with the endpoint limitation.
+
+| Component | Required Receive Assertion |
+|-----------|----------------------------|
+| `Source` | Message ID and timestamp are present and stable enough for reply/get/delete APIs. |
+| `Plain` | Text is preserved exactly, including spaces and multi-line content. |
+| `At` | Mentioned user ID is converted to common `At.target`. |
+| `AtAll` | Broadcast mention is converted to common `AtAll`, if platform supports it. |
+| `Image` | Image ID, URL, path, or base64 is represented without leaking platform-native segment shape. |
+| `Voice` | Voice/audio component is represented as `Voice` when the platform exposes it. |
+| `File` | File name, ID/URL, and size are represented as `File` when available. |
+| `Quote` | Reply/quote source ID and origin content are represented when the platform exposes it. |
+| `Face` | Native emoji/sticker/dice/rps-like components are represented as `Face` or documented as platform-specific. |
+| `Forward` | Merged/forwarded messages are represented as `Forward` when the platform exposes structured content. |
+| `Unknown` | Unsupported native segments become `Unknown` or `PlatformSpecificEvent` data, not crashes. |
+| Mixed chain | A message containing multiple component types preserves order. |
+
+The plugin must subscribe to `MessageReceivedEvent` and assert that `message_chain` contains common `langbot_plugin.api.entities.builtin.platform.message` components, not platform-native SDK objects.
+
+## Required Message Send Tests
+
+For every adapter, outbound message conversion must be tested through `plugin-e2e-outbound` by having the plugin call SDK platform APIs and verifying the platform UI/simulator receives the expected message.
+
+| Component | Required Send Assertion |
+|-----------|-------------------------|
+| `Plain` | Text appears exactly on the platform. |
+| `At` | User mention renders as a mention or platform equivalent. |
+| `AtAll` | Broadcast mention renders or is explicitly unsupported. |
+| `Image` | URL, path, or base64 image sends and renders/downloads correctly. |
+| `Voice` | Voice/audio sends when supported. |
+| `File` | File sends with name and content/link when supported. |
+| `Quote` | Quoted reply points to the original message when supported. |
+| `Face` | Native emoji/sticker/dice/rps sends or is explicitly unsupported. |
+| `Forward` | Forward/merged-forward sends when supported; otherwise fallback behavior is documented. |
+| Mixed chain | A mixed chain preserves component order as closely as the platform allows. |
+
+If a platform supports a component only in one direction, the adapter record must say so explicitly.
+
+## Required Event Tests
+
+The plugin must subscribe to every event declared in `manifest.yaml -> spec.supported_events` and record one of `plugin-e2e-ui`, `plugin-e2e-protocol`, `not-supported`, or `blocked`.
+
+| Event | Required Assertion |
+|-------|--------------------|
+| `message.received` | Real message reaches plugin as `MessageReceivedEvent`. |
+| `message.edited` | Edited message reaches plugin with message ID and new content, if declared. |
+| `message.deleted` | Deleted/recalled message reaches plugin with message ID and operator when available, if declared. |
+| `message.reaction` | Reaction add/remove reaches plugin with message ID, user, reaction, and direction, if declared. |
+| `feedback.received` | Feedback payload reaches plugin with feedback type and message/session IDs, if declared. |
+| `group.member_joined` | Join event reaches plugin with group and member. |
+| `group.member_left` | Leave/kick event reaches plugin with group, member, and kick flag. |
+| `group.member_banned` | Mute/ban event reaches plugin with group, member, operator, and duration. |
+| `group.info_updated` | Group metadata update reaches plugin with changed fields, if declared. |
+| `friend.request_received` | Friend request reaches plugin with request ID and message. |
+| `friend.added` | Friend-added event reaches plugin. |
+| `friend.removed` | Friend-removed event reaches plugin, if declared. |
+| `bot.invited_to_group` | Bot invite/join request reaches plugin with group and inviter/request ID. |
+| `bot.removed_from_group` | Bot removal reaches plugin with group and operator when available. |
+| `bot.muted` | Bot mute reaches plugin with duration. |
+| `bot.unmuted` | Bot unmute reaches plugin. |
+| `platform.specific` | At least one unmapped native event is delivered as structured platform-specific data, if declared. |
+
+Do not declare an event in the manifest unless there is an implementation path and an acceptance entry.
+
+## Required Common API Tests
+
+The plugin must call every common API declared in `manifest.yaml -> spec.supported_apis.required` and `optional`. Each call must be recorded with input summary and result.
+
+| API | Required Assertion |
+|-----|--------------------|
+| `send_message` | Plugin sends to private and group/channel targets where supported. |
+| `reply_message` | Plugin replies to the triggering message, with quoted mode tested when supported. |
+| `edit_message` | Plugin edits a bot-sent message, if declared. |
+| `delete_message` | Plugin deletes/recalls a bot-sent message, if declared and permissions allow. |
+| `forward_message` | Plugin forwards or emulates forwarding a real message, if declared. |
+| `get_message` | Plugin retrieves a real message and receives common `MessageReceivedEvent` shape. |
+| `get_group_info` | Plugin receives `UserGroup` with ID/name/count where available. |
+| `get_group_list` | Plugin receives joined groups/channels list where supported. |
+| `get_group_member_list` | Plugin receives list of `UserGroupMember` where supported. |
+| `get_group_member_info` | Plugin receives one member with role/display name where available. |
+| `set_group_name` | Plugin changes and restores a disposable group name, if declared. |
+| `mute_member` | Plugin mutes a disposable target, if declared. |
+| `unmute_member` | Plugin unmutes the same target, if declared. |
+| `kick_member` | Plugin kicks a disposable target only in destructive test mode, if declared. |
+| `leave_group` | Plugin leaves only in destructive test mode and only at the end, if declared. |
+| `get_user_info` | Plugin receives common `User` shape. |
+| `get_friend_list` | Plugin receives friend/contact list where supported. |
+| `approve_friend_request` | Plugin accepts/rejects a disposable friend request, if declared. |
+| `approve_group_invite` | Plugin accepts/rejects a disposable group invite, if declared. |
+| `upload_file` | Plugin uploads a real small file, if declared. |
+| `get_file_url` | Plugin resolves a real file ID to a URL, if declared. |
+| `call_platform_api` | Plugin calls every declared platform-specific action with safe parameters. |
+
+Destructive APIs must be opt-in and documented with the exact target used.
+
+The SDK must expose a plugin-side platform API escape hatch for adapter-specific actions. The acceptance plugin should call it from the same EBA event handler that received the real platform event, so the evidence proves both directions of the path:
+
+```text
+plugin -> SDK call_platform_api -> LangBot core -> adapter call_platform_api -> platform SDK/API
+```
+
+The result must be serialized into JSON-safe values before it is returned to the plugin runtime.
+
+## Platform-Specific API Tests
+
+Every action listed in `manifest.yaml -> spec.platform_specific_apis` must have one acceptance entry:
+
+- `plugin-e2e-ui` or `plugin-e2e-outbound`: called by the plugin against the live/simulator endpoint.
+- `plugin-e2e-protocol`: called by the plugin after a protocol-boundary injected event; useful for endpoint-specific simulators but must be labelled.
+- `not-supported`: removed from manifest or explained if the platform SDK exposes it but this adapter intentionally does not.
+- `blocked`: endpoint did not implement it, permissions missing, or safe fixture unavailable.
+
+Do not leave a platform-specific API in the manifest without a corresponding test record.
+
+## Required Compatibility Tests
+
+Each migrated adapter must also prove:
+
+- Manifest supported events match `adapter.get_supported_events()`.
+- Manifest supported APIs match `adapter.get_supported_apis()`.
+- Manifest platform-specific actions match `PLATFORM_API_MAP`.
+- Legacy `FriendMessage` / `GroupMessage` listeners still work when the core registers them.
+- EBA listener dispatch prefers the most specific event class, then `EBAEvent`, then base `Event`.
+- Self-message filtering prevents bot echo loops without dropping edit/delete/moderation events needed for API tests.
+- `source_platform_object` is present for reply/debug but not required by plugins for common behavior.
+
+## Required Documentation Per Adapter
+
+Each adapter document must include:
+
+- adapter directory and manifest name
+- config table
+- supported event table with evidence level per event
+- supported common API table with evidence level per API
+- platform-specific API table with evidence level per action
+- receive component table with evidence level per component
+- send component table with evidence level per component
+- exact test date
+- exact platform endpoint or simulator used
+- standalone runtime command
+- plugin path/name used for testing
+- evidence JSONL path
+- destructive operations performed or explicitly skipped
+- blocked items and reasons
+
+## Acceptance Rule
+
+An adapter can be marked migrated only when:
+
+1. All declared events have `plugin-e2e-ui`, justified `plugin-e2e-protocol`, or `not-supported` evidence.
+2. All declared APIs have `plugin-e2e-outbound` or `not-supported` evidence.
+3. All platform-supported receive components have `plugin-e2e-ui` evidence; protocol-only receive coverage keeps the status partial.
+4. All platform-supported send components have `plugin-e2e-outbound` evidence.
+5. Unit tests cover conversion and API-shape boundaries.
+6. The adapter document lists every blocked or skipped item honestly.
+
+If any declared capability is only covered by `adapter-live` or `unit`, the adapter status must remain partial.

docs/event-based-agents/adapters/acceptance-report.md

@@ -0,0 +1,171 @@
+# EBA Adapter Acceptance Report
+
+Date: May 10, 2026
+
+Scope:
+
+- `telegram-eba`
+- `discord-eba`
+- `aiocqhttp-eba`
+- `dingtalk-eba`
+- `lark-eba`
+- `wecom-eba`
+- `wecombot-eba`
+- `wecomcs-eba`
+- `officialaccount-eba`
+- `qqofficial-eba`
+- `slack-eba`
+
+This report follows `acceptance-checklist.md`. Evidence levels are intentionally strict:
+
+- `plugin-e2e-ui`: real platform or simulator UI event reached LangBot, standalone runtime, and `EBAEventProbe`.
+- `plugin-e2e-protocol`: real adapter endpoint event reached LangBot, standalone runtime, and `EBAEventProbe`, but the event was injected at the platform protocol boundary rather than sent through the UI.
+- `plugin-e2e-outbound`: the plugin called SDK APIs and the resulting bot message was visible on the platform.
+- `unit`: mocked converter/API coverage only.
+- `blocked`: not completed, either because the platform/simulator/client could not trigger it or because a safe disposable fixture was unavailable.
+- `not-supported`: the platform has no equivalent capability.
+
+## Summary
+
+| Adapter | Status | Honest acceptance summary |
+|---------|--------|---------------------------|
+| Telegram | Partial EBA acceptance | Real Telegram UI covered private text, group mention text, bot invite, inbound private image/file, outbound component sweep, safe SDK APIs, and safe Telegram platform APIs. Real UI inbound voice/quote was not completed in the latest plugin run. |
+| Discord | Partial EBA acceptance | Real Discord UI covered group text, outbound image/file/quote/mention components, safe SDK APIs, and safe Discord platform APIs. Real UI inbound attachment/image/file/reply/mention was not completed. A later UI retry was blocked because the Discord client kept the send button disabled. |
+| OneBot v11 / aiocqhttp | Partial EBA acceptance | Matcha UI covered real group text and outbound supported components/APIs. Multi-component inbound `Source/Plain/At/Face/Image/Voice/File/Quote` was verified through the real OneBot reverse WebSocket adapter endpoint, but not through Matcha UI upload/send. Matcha blocks file-send and merged-forward APIs. |
+| DingTalk | Partial EBA acceptance | Real DingTalk UI covered private text, emoji-as-text inbound, private inbound image/file, outbound image/file/quote/mention fallback components, safe SDK APIs, and safe DingTalk platform APIs. Real UI inbound voice/quote and group trigger were not completed. |
+| Lark / Feishu | Partial EBA acceptance | EBA adapter structure, self-built/store app config, WebSocket/Webhook mode handling, converters, common APIs, platform APIs, and unit tests are in place. One real LangBot organization WebSocket private text event reached `EBAEventProbe`; outbound component sweep was visible in Feishu. Latest real UI image/file sends did not reach local plugin evidence, so media receive remains blocked. |
+| WeCom | Partial EBA acceptance | Regular WeCom application-message adapter is split into the EBA directory with manifest, converters, API mixin, platform API map, and unit tests. Private text reached `EBAEventProbe` through standalone runtime and the real WeCom client; safe plugin APIs passed. Real inbound media and broader event coverage remain pending. |
+| WeComBot | Partial EBA acceptance | WeCom AI Bot is split into the EBA directory with WebSocket long connection mode and optional webhook mode, EBA message/feedback/platform-specific conversion, cache-backed common APIs, platform API map, unit tests, and a direct live probe. Private text, outbound component sweep, safe common APIs, and all declared WeComBot platform APIs reached `EBAEventProbe`; group, real inbound media, and feedback callback evidence remain pending. |
+| WeCom Customer Service | Partial EBA acceptance | WeCom Customer Service is split into the EBA directory with manifest, converters, API mixin, platform API map, unit tests, docs, and a direct live probe scaffold. Real WeChat customer-side UI text reached `EBAEventProbe`; plugin outbound text/image and safe cache-backed common APIs passed. Inbound media and platform-specific API live coverage remain pending; later fallback text sends were blocked by WeCom `95001 send msg count limit`. |
+| Official Account | Partial EBA acceptance | WeChat Official Account is split into the EBA directory with manifest, converters, cache-backed safe APIs, platform API map, unit tests, and a direct live probe scaffold. Real WeChat Official Account UI private text reached `EBAEventProbe`; safe cache-backed common APIs and declared platform APIs passed. Proactive outbound `send_message` is not supported because replies must be tied to inbound webhook windows; inbound image/voice live UI evidence remains pending. |
+| QQ Official API | Partial EBA acceptance | QQ Official API is split into the EBA directory with manifest, converters, cache-backed safe APIs, platform API map, unit tests, docs, and a direct live probe scaffold. A real WebSocket-mode QQ Official bot reached the LangBot pipeline on `dev.rockchin.top`; reply/outbound evidence is blocked by the test model provider returning `model_not_found` for `deepseek-v3`. |
+| Slack | Partial EBA acceptance | Slack is split into the EBA directory with manifest, converters, cache-backed safe APIs, platform API map, unit tests, docs, and a direct live probe scaffold. Real Slack private text reached `EBAEventProbe`; safe common APIs, outbound component fallback sweep, and declared Slack platform APIs passed. Channel mention and real inbound media evidence remain pending. |
+
+Telegram and DingTalk now have real user-side UI image/file upload evidence in plugin JSONL. Discord and aiocqhttp do not yet have real UI inbound image/file evidence.
+
+## Evidence Files
+
+| Adapter | Endpoint | Evidence |
+|---------|----------|----------|
+| Telegram private | Telegram Lite, `@rockchinq_bot` private chat | `data/temp/telegram-plugin-e2e-rerun.jsonl` |
+| Telegram private media | Telegram Lite, `@rockchinq_bot` private chat | `data/temp/telegram-plugin-e2e-media-ui.jsonl` |
+| Telegram group | Telegram Lite, `Rock'sBotGroup` | `data/temp/telegram-plugin-e2e-group.jsonl` |
+| Discord | Discord client, LangBot server, `#debugging` | `data/temp/discord-plugin-e2e-20260510-final.jsonl` |
+| aiocqhttp UI | local Matcha, group `test group` | `data/temp/aiocqhttp-plugin-e2e-20260510-multiformat.jsonl` |
+| aiocqhttp protocol | OneBot reverse WebSocket endpoint `127.0.0.1:2280/ws` | `data/temp/aiocqhttp-plugin-e2e-20260510-multiformat.jsonl` |
+| DingTalk | DingTalk Mac, `LangBot Team` org private chat | `data/temp/dingtalk-plugin-e2e-20260510-rerun.jsonl` |
+| DingTalk private media | DingTalk Mac, `LangBot Team` org private chat | `data/temp/dingtalk-plugin-e2e-media-ui.jsonl` |
+| Lark / Feishu unit | local mocked Feishu SDK/client paths | `tests/unit_tests/platform/test_lark_eba_adapter.py` |
+| Lark / Feishu partial live | Feishu Mac, LangBot organization `LangBotDev` private chat | `data/temp/lark-plugin-e2e-ws.jsonl` |
+| WeCom Customer Service | WeChat customer-side UI, `客服消息 -> 浪波智能客服` on `dev.rockchin.top` | `/home/wgc/LangBotxg/LangBotEbaTest/data/temp/wecomcs_eba_plugin_probe.jsonl` |
+| Official Account | WeChat desktop client, subscribed Official Account on `dev.rockchin.top` | `/home/wgc/LangBotxg/LangBotEbaTest/data/temp/officialaccount_eba_plugin_probe.jsonl` |
+| QQ Official API unit | local mocked QQ Official client paths | `tests/unit_tests/platform/test_qqofficial_eba_adapter.py` |
+| Slack unit | local mocked Slack client paths | `tests/unit_tests/platform/test_slack_eba_adapter.py` |
+| Slack private | Slack workspace private DM on `dev.rockchin.top` | `/home/wgc/LangBotxg/LangBotEbaTest/data/temp/slack_eba_plugin_probe.jsonl` |
+
+All plugin runs used SDK standalone runtime ports `5400/5401`, LangBot `--standalone-runtime`, and the real plugin at `langbot-plugin-demo/EBAEventProbe`.
+
+## Unified Shape Verification
+
+All four adapters deliver common SDK entities to plugins before LangBot core/plugin logic handles the event.
+
+| Requirement | Telegram | Discord | aiocqhttp | DingTalk | Lark / Feishu |
+|-------------|----------|---------|-----------|----------|---------------|
+| `bot_uuid` filled | plugin-e2e | plugin-e2e | plugin-e2e | plugin-e2e | live plugin-e2e pending |
+| `adapter_name` filled | `telegram` | `discord` | `aiocqhttp` | `dingtalk` | `lark-eba` in current unit/code; older live text evidence recorded `lark` before the naming fix |
+| common `MessageChain` delivered | `Plain`, group `At + Plain`, private `Image`, private `File` | `Source + Plain` | UI `Source + Plain`; protocol `Source + Plain + At + Face + Image + Voice + File + Quote + Plain` | `Source + Plain`, private `Source + Image`, private `Source + File` | live private `Source + Plain`; unit `Source + Plain + At/Image/File`; latest live image/file blocked |
+| common user/group entities | plugin-e2e | plugin-e2e | plugin-e2e | plugin-e2e private user; group not completed | live private user; unit private/group |
+| raw native object isolation | raw data stays in `source_platform_object` | raw data stays in `source_platform_object` | raw data stays in `source_platform_object` | raw data stays in `source_platform_object` | raw data stays in `source_platform_object` |
+
+## Message Receive Components
+
+| Component | Telegram | Discord | aiocqhttp | DingTalk | Lark / Feishu |
+|-----------|----------|---------|-----------|----------|---------------|
+| `Source` | design gap: event has message id but chain omits `Source` | plugin-e2e-ui | plugin-e2e-ui/protocol | plugin-e2e-ui | plugin-e2e-ui private text |
+| `Plain` | plugin-e2e-ui private/group | plugin-e2e-ui | plugin-e2e-ui/protocol | plugin-e2e-ui | plugin-e2e-ui private text |
+| `At` | plugin-e2e-ui group mention | unit; real UI mention not completed in latest run | plugin-e2e-protocol; unit | unit; group trigger not completed | unit; group trigger not completed |
+| `AtAll` | not-supported | unit only | unit only | unit/send fallback only | unit only |
+| `Image` | plugin-e2e-ui private | converter/unit; real UI attachment not completed | plugin-e2e-protocol, not Matcha UI | plugin-e2e-ui private | unit; real UI image sent but not observed in plugin evidence |
+| `Voice` | converter/unit; real UI inbound not completed | not-supported as native voice; audio is attachment/file | plugin-e2e-protocol, not Matcha UI | converter/unit; real UI inbound not completed | unit; real UI inbound not completed |
+| `File` | plugin-e2e-ui private | converter/unit; real UI attachment not completed | plugin-e2e-protocol, not Matcha UI | plugin-e2e-ui private | unit; real UI file sent but not observed in plugin evidence |
+| `Quote` | converter/unit; real UI reply not completed | unit; real UI reply not completed | plugin-e2e-protocol | converter/unit; real UI quote not completed | unit/API-backed quote lookup; real UI quote not completed |
+| `Face` | not-supported as common `Face` | not-supported as common `Face` | plugin-e2e-protocol | UI emoji becomes `Plain` (`[smile]` text), not `Face` | not-supported as common `Face` |
+| `Forward` | not-supported inbound | not-supported inbound | unit; Matcha forward UI/action blocked | not-supported inbound | not-supported inbound |
+| Mixed chain | group `At + Plain`; media tested as separate messages | not completed inbound | plugin-e2e-protocol | media tested as separate messages; mixed inbound not completed | unit only |
+
+## Message Send Components
+
+| Component | Telegram | Discord | aiocqhttp | DingTalk | Lark / Feishu |
+|-----------|----------|---------|-----------|----------|---------------|
+| `Plain` | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound |
+| `At` | plugin-e2e-outbound equivalent | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound fallback/equivalent | plugin-e2e-outbound |
+| `AtAll` | plugin-e2e-outbound fallback | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound fallback | unit; group live not completed |
+| `Image` | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound |
+| `Voice` | not-supported in current send converter | not-supported as native voice | converter path; not completed against Matcha UI | fallback as file/text depending DingTalk media support | converter path; live not completed |
+| `File` | plugin-e2e-outbound | plugin-e2e-outbound | blocked by Matcha endpoint error | plugin-e2e-outbound | plugin-e2e-outbound |
+| `Quote` | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound fallback | plugin-e2e-outbound fallback |
+| `Face` | not-supported | not-supported | plugin-e2e-outbound attempted in mixed chain | fallback text | not-supported |
+| `Forward` | flattened fallback | flattened fallback | blocked by Matcha unsupported action | flattened fallback | plugin-e2e-outbound flattened fallback |
+| Mixed chain | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound except blocked file/forward | plugin-e2e-outbound | plugin-e2e-outbound |
+
+## Event Acceptance
+
+| Event category | Telegram | Discord | aiocqhttp | DingTalk |
+|----------------|----------|---------|-----------|----------|
+| `message.received` | plugin-e2e-ui | plugin-e2e-ui | plugin-e2e-ui and plugin-e2e-protocol | plugin-e2e-ui private |
+| `message.edited` | implemented/unit, not plugin-e2e-ui | historical/direct only, not latest plugin-e2e | unit | not declared |
+| `message.deleted` | implemented/unit, not plugin-e2e-ui | historical/direct only, not latest plugin-e2e | unit | not declared |
+| `message.reaction` | implemented/unit, not plugin-e2e-ui | historical/direct only, not latest plugin-e2e | not-supported in standard OneBot message path | not declared |
+| member join/left/ban | implemented/unit or blocked without disposable users | blocked without disposable users | unit; Matcha fixture unavailable | not declared |
+| bot invited/removed | invite plugin-e2e-ui for Telegram; removal blocked | invite historical/plugin-series; removal blocked | unit; Matcha fixture unavailable | not declared |
+| requests/friend events | not applicable | not applicable | unit; Matcha fixture unavailable | not declared |
+| `platform.specific` | implemented; not latest plugin-e2e | not latest plugin-e2e | adapter lifecycle observed; plugin focus was message path | declared for fallback; not reproduced in UI run |
+
+## Common API Acceptance
+
+| API area | Telegram | Discord | aiocqhttp | DingTalk |
+|----------|----------|---------|-----------|----------|
+| send/reply | plugin-e2e-outbound | plugin-e2e-outbound | plugin-e2e-outbound, with Matcha file/forward gaps | plugin-e2e-outbound |
+| edit/delete | historical/direct or unit; destructive/current UI not repeated | historical/direct; destructive/current UI not repeated | unit/destructive blocked | not declared or blocked |
+| message lookup | not-supported | not-supported | plugin-e2e | inbound cache-backed where available; limited live coverage |
+| group info/member info | plugin-e2e safe subset | plugin-e2e safe subset | plugin-e2e safe subset | private path only; group not completed |
+| user/friend info | plugin-e2e where platform allows | plugin-e2e where platform allows | plugin-e2e | plugin-e2e private user |
+| moderation/leave | blocked without disposable safe targets | blocked without disposable safe targets | blocked without disposable safe targets | blocked/not declared |
+| `get_file_url` | implemented; latest inbound `File` carried downloadable file data in plugin evidence | URL passthrough for attachments; inbound attachment not completed | not portable/endpoint-dependent | implemented through DingTalk media API; latest inbound `File` carried a platform file URL |
+| `call_platform_api` | plugin-e2e safe actions | plugin-e2e safe actions | plugin-e2e safe actions, Matcha gaps documented | plugin-e2e safe `check_access_token` |
+
+## Platform-Specific API Acceptance
+
+| Adapter | plugin-e2e verified | Blocked or not reproduced |
+|---------|---------------------|---------------------------|
+| Telegram | safe chat/admin/member count/chat-action actions | mutating actions and callback-only actions were not repeated |
+| Discord | safe channel/guild/role/typing actions | mutating pin/reaction/invite actions were not repeated in the latest plugin run; inbound attachment paths not completed |
+| aiocqhttp | safe OneBot actions such as status/version/can-send checks | `get_group_honor_info` unsupported by Matcha; admin/card/title/ban/record/file/forward require better endpoint fixtures |
+| DingTalk | `check_access_token`; real inbound file produced a file URL in the common `File` component | separate media-download replay APIs and group actions need a working follow-up fixture |
+
+## SDK API Acceptance
+
+`EBAEventProbe` exercised the standalone runtime path for:
+
+- bot discovery and bot info lookup
+- send message
+- component sweep where enabled
+- platform API sweep where enabled
+- plugin storage
+- workspace storage
+- plugin/command/tool/knowledge-base list APIs
+
+The probe logs set `ok=true` when the sweep completed with only expected unsupported/blocked items. Individual call details are stored in the JSONL evidence files.
+
+## Residual Risks And Required Follow-Up
+
+- Discord still requires real UI inbound image/file upload evidence before it can be called media-complete.
+- aiocqhttp has rich inbound component evidence only at the OneBot reverse WebSocket boundary; Matcha UI did not provide image/file upload coverage.
+- DingTalk group trigger remains unclosed; current evidence is private chat only.
+- Lark / Feishu requires a clean follow-up live pass: the latest LangBot organization WebSocket run connected, but UI-sent text/image/file after the loop-scheduling fix did not append plugin events.
+- Discord UI retry on May 10, 2026 was blocked by the client keeping the send button disabled even after text was entered.
+- Destructive moderation and leave APIs are intentionally blocked until disposable users/groups are available.
+
+## Conclusion
+
+The EBA conversion path is implemented and partially proven for the migrated adapters. Telegram and DingTalk now have real UI private-chat image/file inbound evidence. Discord, aiocqhttp, and Lark / Feishu still have explicit UI-level media gaps, so the overall adapter set remains partial acceptance rather than production-complete media acceptance.

docs/event-based-agents/adapters/aiocqhttp.md

@@ -0,0 +1,162 @@
+# OneBot v11 / aiocqhttp EBA Adapter
+
+## Status
+
+OneBot v11 has been migrated to the EBA adapter directory:
+
+```text
+src/langbot/pkg/platform/adapters/aiocqhttp/
+├── adapter.py
+├── api_impl.py
+├── event_converter.py
+├── manifest.yaml
+├── message_converter.py
+├── platform_api.py
+├── types.py
+└── onebot.svg
+```
+
+The EBA adapter is registered as `aiocqhttp-eba`. The legacy adapter remains at `src/langbot/pkg/platform/sources/aiocqhttp.py`.
+
+## Configuration
+
+| Field | Required | Default | Description |
+|-------|----------|---------|-------------|
+| `host` | Yes | `0.0.0.0` | Host for the reverse WebSocket server that the OneBot endpoint connects to. |
+| `port` | Yes | `2280` | Reverse WebSocket listen port. |
+| `access-token` | No | `""` | OneBot access token, if the endpoint is configured to use one. |
+
+## Events
+
+The adapter declares these EBA events:
+
+- `message.received`
+- `message.deleted`
+- `group.member_joined`
+- `group.member_left`
+- `group.member_banned`
+- `friend.request_received`
+- `friend.added`
+- `bot.invited_to_group`
+- `bot.removed_from_group`
+- `bot.muted`
+- `bot.unmuted`
+- `platform.specific`
+
+`platform.specific` is used for OneBot notice/request/meta events that do not yet have a common EBA event type, such as group admin changes, group file uploads, pokes, honor changes, and group join requests from non-bot users.
+
+## Common APIs
+
+| API | Status | Notes |
+|-----|--------|-------|
+| `send_message` | Supported | Supports private and group text, mentions, images, voice, files, faces, and flattened forwards. Group merged forwards are sent through OneBot forward APIs when possible. |
+| `reply_message` | Supported | Uses the original OneBot event and can prepend a reply segment. |
+| `edit_message` | Not supported | OneBot v11 has no standard message edit action. |
+| `delete_message` | Supported | Uses `delete_msg`; permission depends on endpoint and group role. |
+| `forward_message` | Supported | Emulates forward by fetching the source message with `get_msg` and sending its content to the target chat. |
+| `get_message` | Supported | Uses `get_msg` and converts the response into `MessageReceivedEvent`. |
+| `get_group_info` | Supported | Uses `get_group_info`. |
+| `get_group_list` | Supported | Uses `get_group_list`. |
+| `get_group_member_list` | Supported | Uses `get_group_member_list`. |
+| `get_group_member_info` | Supported | Uses `get_group_member_info`. |
+| `set_group_name` | Supported | Uses `set_group_name`; may be unsupported by mock endpoints. |
+| `get_user_info` | Supported | Uses `get_stranger_info`. |
+| `get_friend_list` | Supported | Uses `get_friend_list`. |
+| `approve_friend_request` | Supported | Uses `set_friend_add_request`. |
+| `approve_group_invite` | Supported | Uses `set_group_add_request` with `sub_type=invite`. |
+| `upload_file` | Not supported | OneBot v11 has endpoint-specific file upload extensions but no portable standalone upload action. |
+| `get_file_url` | Not supported | OneBot v11 file URL resolution is endpoint-specific. Use `call_platform_api("get_image")`, `get_record`, or endpoint extensions when available. |
+| `mute_member` | Supported | Uses `set_group_ban`. |
+| `unmute_member` | Supported | Uses `set_group_ban` with duration `0`. |
+| `kick_member` | Supported | Destructive; test only with disposable members. |
+| `leave_group` | Supported | Destructive; should run last in live tests. |
+| `call_platform_api` | Supported | See below. |
+
+## Platform-Specific APIs
+
+`call_platform_api(action, params)` supports:
+
+- `get_login_info`
+- `get_status`
+- `get_version_info`
+- `get_group_honor_info`
+- `set_group_card`
+- `set_group_special_title`
+- `set_group_admin`
+- `set_group_whole_ban`
+- `send_group_forward_msg`
+- `get_forward_msg`
+- `get_record`
+- `get_image`
+- `can_send_image`
+- `can_send_record`
+
+## Message Conversion Notes
+
+Incoming OneBot segments are converted into common `MessageChain` components before LangBot core/plugin dispatch:
+
+- `text` -> `Plain`
+- `at` -> `At` / `AtAll`
+- `image` -> `Image` or `Face` for OneBot emoji-package images
+- `record` -> `Voice`
+- `file` -> `File`
+- `reply` -> `Quote`
+- `face`, `rps`, `dice` -> `Face`
+- unsupported segments -> `Unknown`
+
+Outgoing `MessageChain` components are converted back into `aiocqhttp.Message` segments. Base64 media strings are normalized to OneBot `base64://...` format.
+
+## Live Test Record
+
+The direct live probe is:
+
+```bash
+PYTHONPATH=/Users/qinjunyan/code/projects/langbot/langbot-plugin-sdk/src \
+uv run python tests/e2e/live_aiocqhttp_eba_probe.py --host 127.0.0.1 --port 2280
+```
+
+It starts the reverse WebSocket adapter directly, records observed EBA events to `data/temp/aiocqhttp_eba_live_probe.jsonl`, waits for a real Matcha or OneBot message, then tries reply/send/get/delete/group/user/platform API calls as far as the endpoint supports them.
+
+Verified on May 10, 2026 with local Matcha connected to `ws://127.0.0.1:2280/ws`:
+
+- Real inbound group message converted to `MessageReceivedEvent`.
+- Real lifecycle connection converted to `PlatformSpecificEvent`.
+- Real reply API succeeded and rendered a quoted bot reply in Matcha.
+- Real proactive send API succeeded and rendered a bot group message in Matcha.
+- Real outgoing component sweep succeeded for text, `At`, `AtAll`, `Face`, and base64 `Image`.
+- Real `get_message`, `get_group_info`, `get_login_info`, `get_status`, `get_version_info`, `can_send_image`, and `can_send_record` calls succeeded against Matcha.
+- Unit conversion and API-shape tests passed for `Plain`, `At`, `AtAll`, `Image`, `Voice`, `File`, `Quote`, `Face`, `rps`, `dice`, `Forward`, `Unknown`, private/group message events, delete notices, group join/leave/ban notices, bot mute notices, friend requests, group invites, friend added notices, dispatch specificity, send, reply, delete, forward, get message, group APIs, user APIs, request approval APIs, moderation APIs, leave group, unsupported file APIs, and all declared `call_platform_api` actions.
+
+Skipped or residual live-test items:
+
+- `edit_message`: not implemented because OneBot v11 has no standard edit action.
+- `upload_file` and `get_file_url`: not implemented as common APIs because portable OneBot v11 file upload/download URL semantics are endpoint-specific.
+- `kick_member` and `leave_group`: destructive; run only with explicit `--destructive` and disposable Matcha/OneBot state.
+- `group.info_updated`, message reactions, and message edits are not declared because OneBot v11 does not provide standard equivalents for them.
+- Matcha returned `ActionFailed` for outgoing `File` segment rendering and did not support merged-forward actions in this run. The adapter keeps the conversion/API implementations because they are valid OneBot/NapCat-style capabilities, but the Matcha live probe records them as skipped.
+- Matcha returned an empty `get_group_member_list` for the test group, so `get_group_member_info`, mute/unmute, kick, and leave were covered by unit/API-shape tests only in this run.
+
+## Standalone Runtime Plugin E2E Record
+
+Verified on May 10, 2026 with `EBAEventProbe`, SDK standalone runtime, LangBot `--standalone-runtime`, local Matcha, and group `测试群`.
+
+Evidence:
+
+- Plugin JSONL: `data/temp/aiocqhttp-plugin-e2e-20260510-multiformat.jsonl`
+
+Observed and verified:
+
+- A real Matcha group message reached the plugin as `MessageReceived` with `bot_uuid=eba-aiocqhttp-matcha`, `adapter_name=aiocqhttp`, common `Source`/`Plain` message components, common sender, and common group identifiers.
+- A protocol-level OneBot reverse WebSocket event reached the plugin as `MessageReceived` with a mixed common chain: `Source`, `Plain`, `At`, `Face`, `Image`, `Voice`, `File`, `Quote`, and trailing `Plain`. This proves the real adapter + LangBot + standalone runtime + plugin path for mixed inbound OneBot payloads, but it was not sent through Matcha UI.
+- SDK API calls succeeded: `get_langbot_version`, `get_bots`, `get_bot_info`, `send_message`, plugin storage, workspace storage, `list_plugins_manifest`, `list_commands`, `list_tools`, and `list_knowledge_bases`.
+- Outbound component sweep succeeded for plain text plus `At`/`Face`, `AtAll`, base64 `Image`, and quoted reply.
+- Common APIs succeeded through the plugin path: `get_message`, `get_user_info`, `get_friend_list`, `get_group_info`, `get_group_list`, `get_group_member_list`, and `get_group_member_info`.
+- Safe OneBot platform APIs succeeded through `call_platform_api`: `get_login_info`, `get_status`, `get_version_info`, `can_send_image`, and `can_send_record`.
+
+Documented Matcha limits in this E2E run:
+
+- Matcha UI did not provide a completed image/file upload/send path for inbound media. The rich inbound media evidence is `plugin-e2e-protocol`, not UI-level media upload evidence.
+- Outbound `File` failed in Matcha even after the adapter emitted an official `file` segment shape.
+- Outbound `Forward` failed because Matcha returned unsupported action for merged-forward.
+- `get_group_honor_info` failed because Matcha returned unsupported action.
+- Destructive/admin APIs such as mute, unmute, kick, leave, group rename, card/title/admin/whole-ban changes, and request approvals were not run without disposable fixtures.

docs/event-based-agents/adapters/dingtalk.md

@@ -0,0 +1,114 @@
+# DingTalk EBA Adapter Migration Record
+
+Status: migrated with partial plugin E2E evidence.
+
+Adapter directory: `src/langbot/pkg/platform/adapters/dingtalk/`
+
+## What Changed
+
+The DingTalk adapter now has an Event-Based Agents adapter package with:
+
+- `manifest.yaml` for adapter metadata, configuration, events, common APIs, and platform-specific APIs.
+- `adapter.py` for DingTalk client startup, native callback handling, legacy compatibility, and EBA dispatch.
+- `event_converter.py` for native DingTalk events to common EBA events.
+- `message_converter.py` for DingTalk message payloads to/from common `MessageChain` components.
+- `api_impl.py` for common EBA API implementations.
+- `platform_api.py` for DingTalk-specific `call_platform_api` actions.
+
+The legacy DingTalk HTTP client now returns successful JSON response bodies from proactive send methods and raises with response details on non-200 responses.
+
+## Configuration
+
+| Field | Required | Notes |
+|-------|----------|-------|
+| `client-id` | yes | DingTalk robot/client identifier. |
+| `client-secret` | yes | DingTalk client secret. |
+| `robot-code` | yes | Robot code used for send APIs. |
+| `robot-name` | no | Used for bot mention/self filtering and display. |
+| `encrypt-key` | no | DingTalk callback encryption key when configured. |
+| `verification-token` | no | DingTalk callback verification token when configured. |
+
+## Supported Events
+
+| Event | Support | Evidence |
+|-------|---------|----------|
+| `message.received` | implemented | `plugin-e2e-ui` private text and emoji-as-text. |
+| `platform.specific` | implemented | Not reproduced in the latest UI run. |
+
+## Receive Components
+
+| Component | Support | Evidence |
+|-----------|---------|----------|
+| `Source` | supported | `plugin-e2e-ui` private message. |
+| `Plain` | supported | `plugin-e2e-ui` private text. DingTalk emoji currently arrives as plain text such as `[smile]`. |
+| `At` | converter path | Group trigger was not completed in the latest run. |
+| `AtAll` | fallback/send-side only | Not completed inbound. |
+| `Image` | supported | Real DingTalk Mac private-chat image upload reached the plugin as common `Image`. |
+| `Voice` | converter path | Real UI inbound voice was not completed. |
+| `File` | supported | Real DingTalk Mac private-chat file upload reached the plugin as common `File`. |
+| `Quote` | converter path | Real UI inbound quote was not completed. |
+| `Face` | not native common mapping | DingTalk emoji was observed as `Plain`, not `Face`. |
+| `Forward` | not-supported inbound | DingTalk does not expose a portable structured forward event in this adapter. |
+
+## Send Components
+
+| Component | Support | Evidence |
+|-----------|---------|----------|
+| `Plain` | supported | `plugin-e2e-outbound`. |
+| `At` | supported or text fallback | `plugin-e2e-outbound`. |
+| `AtAll` | fallback | `plugin-e2e-outbound`. |
+| `Image` | supported | `plugin-e2e-outbound`. |
+| `File` | supported | `plugin-e2e-outbound`. |
+| `Quote` | fallback | `plugin-e2e-outbound`. |
+| `Face` | fallback | `plugin-e2e-outbound` as text fallback. |
+| `Forward` | flattened fallback | `plugin-e2e-outbound`. |
+| `Voice` | fallback/endpoint-dependent | Not separately verified as a native DingTalk voice send. |
+
+## Common APIs
+
+| API | Support | Notes |
+|-----|---------|-------|
+| `send_message` | supported | Verified through `EBAEventProbe`. |
+| `reply_message` | supported | Verified through quoted/fallback send path. |
+| `get_message` | cache-backed | Requires the message to have been observed by this adapter process. |
+| `get_group_info` | cache-backed/API-backed where available | Group path not completed in latest UI run. |
+| `get_group_list` | supported where DingTalk API allows | Limited live coverage. |
+| `get_group_member_info` | supported where DingTalk API allows | Limited live coverage. |
+| `get_user_info` | supported | Private sender path verified. |
+| `get_friend_list` | limited | DingTalk does not expose a portable friend-list equivalent. |
+| `get_file_url` | supported with media/file identifiers | Real inbound file yielded a platform file URL in the converted `File` component. |
+| `call_platform_api` | supported | Safe action `check_access_token` verified. |
+
+## Platform-Specific APIs
+
+| Action | Support | Evidence |
+|--------|---------|----------|
+| `check_access_token` | supported | `plugin-e2e`. |
+| `refresh_access_token` | supported | Implemented; not separately reproduced in the latest plugin run. |
+| `get_file_url` | supported | Real inbound file yielded a platform file URL in the converted `File` component. |
+| `get_audio_base64` | supported | Needs real inbound audio/media ID. |
+| `download_image_base64` | supported | Real inbound image reached the plugin as `Image`; separate image-download API replay was not completed. |
+
+## End-to-End Evidence
+
+Evidence files:
+
+- Text/API/component JSONL: `data/temp/dingtalk-plugin-e2e-20260510-rerun.jsonl`
+- Real UI inbound media JSONL: `data/temp/dingtalk-plugin-e2e-media-ui.jsonl`
+
+Verified:
+
+- DingTalk Mac private chat in the `LangBot Team` organization produced `MessageReceived` through LangBot standalone runtime and `EBAEventProbe`.
+- The common chain was `Source + Plain` for normal text.
+- DingTalk emoji was received as `Source + Plain`, not common `Face`.
+- Real DingTalk Mac private-chat image upload was received as `Source + Image`.
+- Real DingTalk Mac private-chat file upload was received as `Source + File`.
+- The plugin sent outbound text, mention/fallback, image, quote/fallback, file, and forward/fallback messages visible in DingTalk.
+- The plugin called safe SDK and DingTalk platform APIs.
+
+Not completed:
+
+- Real UI inbound voice.
+- Real UI inbound quote.
+- Group trigger with a real robot mention.
+- Destructive or organization-mutating APIs.

docs/event-based-agents/adapters/discord.md

@@ -0,0 +1,147 @@
+# Discord EBA Adapter
+
+## Status
+
+Discord has been migrated from the legacy source adapter:
+
+```text
+src/langbot/pkg/platform/sources/discord.py
+src/langbot/pkg/platform/sources/discord.yaml
+```
+
+EBA adapter directory:
+
+```text
+src/langbot/pkg/platform/adapters/discord/
+├── adapter.py
+├── api_impl.py
+├── event_converter.py
+├── manifest.yaml
+├── message_converter.py
+├── platform_api.py
+├── types.py
+└── voice.py
+```
+
+The adapter is registered as `discord-eba`.
+
+## Configuration
+
+| Field | Required | Default | Description |
+|-------|----------|---------|-------------|
+| `client_id` | Yes | `""` | Discord application client ID. |
+| `token` | Yes | `""` | Discord bot token. |
+
+The bot needs gateway permissions and intents for the target test server. Message Content intent is required for message bodies, Server Members intent is required for member APIs/events, and reaction events require the Reactions intent and channel permissions.
+
+## Events
+
+Discord declares these EBA events:
+
+- `message.received`
+- `message.edited`
+- `message.deleted`
+- `message.reaction`
+- `group.member_joined`
+- `group.member_left`
+- `group.member_banned`
+- `bot.invited_to_group`
+- `bot.removed_from_group`
+- `platform.specific`
+
+Discord-specific events that do not map cleanly to common events should be surfaced as `platform.specific`.
+
+## Common APIs
+
+| API | Status | Notes |
+|-----|-----------------|-------|
+| `send_message` | Supported | Supports text, image, file, and mixed message chains through Discord messages and attachments. |
+| `reply_message` | Supported | Uses Discord message references when replying to a received EBA message event. |
+| `edit_message` | Supported | Bot can edit its own messages. File edits are implemented by clearing old attachments and sending replacement files when needed. |
+| `delete_message` | Supported | Requires message management permissions for non-bot messages. |
+| `forward_message` | Emulated | Discord has no native forward API; the adapter copies content and attachments. |
+| `get_group_info` | Supported | Maps Discord guild metadata to EBA group info. |
+| `get_group_member_list` | Supported | Requires member cache or the Server Members intent/fetch permission. |
+| `get_group_member_info` | Supported | Maps Discord roles/permissions into EBA member roles. |
+| `get_user_info` | Supported | Uses Discord user fetch/cache. |
+| `upload_file` | Not supported | Discord uploads files as message attachments; standalone upload raises `NotSupportedError`. |
+| `get_file_url` | Supported | Discord attachment URLs are already downloadable URLs, so the adapter returns the input URL. |
+| `mute_member` | Supported where possible | Uses Discord timeout API and requires guild moderation permission. |
+| `unmute_member` | Supported where possible | Clears timeout and requires guild moderation permission. |
+| `kick_member` | Supported | Destructive; test only with a disposable account/bot. |
+| `leave_group` | Supported | Bot leaves a guild; destructive and should run last. |
+| `call_platform_api` | Supported | Discord-specific actions live here. |
+
+## Platform-Specific APIs
+
+`call_platform_api(action, params)` supports:
+
+- `get_channel`
+- `get_guild`
+- `get_guild_channels`
+- `get_guild_roles`
+- `create_invite`
+- `pin_message`
+- `unpin_message`
+- `add_reaction`
+- `remove_reaction`
+- `typing`
+
+Voice helpers are intentionally kept Discord-specific:
+
+- `join_voice_channel`
+- `leave_voice_channel`
+- `get_voice_connection_status`
+- `list_active_voice_connections`
+- `get_voice_channel_info`
+
+## Live Test Record
+
+The live probe is:
+
+```bash
+uv run python tests/e2e/live_discord_eba_probe.py --help
+```
+
+Verified on May 7, 2026 with a newly created Discord application/bot named `LangBot EBA Test 0507`, the LangBot Discord server, and the `#🐞-debugging` channel:
+
+- SDK standalone runtime started with WebSocket control/debug ports, and the `EBAEventProbe` plugin connected through `lbp run`.
+- Plugin runtime received real Discord events through LangBot: `BotInvitedToGroup`, `MessageReceived`, `MessageReactionReceived` add/remove, `MessageEdited`, and `MessageDeleted`.
+- Plugin runtime API calls succeeded through the standalone runtime: `get_langbot_version`, `get_bots`, `get_bot_info`, `send_message`, plugin storage APIs, workspace storage APIs, `list_plugins_manifest`, `list_commands`, `list_tools`, and `list_knowledge_bases`.
+- Direct live adapter probe observed `message.received`, `message.edited`, `message.deleted`, and `bot.removed_from_group`.
+- Message APIs verified: send, reply, edit, delete, forward, text/image/file mixed message chains.
+- User and guild APIs verified: `get_user_info`, `get_group_info`, `get_group_member_list`, `get_group_member_info`.
+- Platform-specific APIs verified: `get_channel`, `get_guild`, `get_guild_channels`, `get_guild_roles`, `create_invite`, `typing`, `pin_message`, `unpin_message`, `add_reaction`, `remove_reaction`.
+- Unsupported API behavior verified: `upload_file` raises `NotSupportedError`.
+- Destructive API verified at the end: `leave_group`, which emitted `bot.removed_from_group`.
+
+Not verified in the shared LangBot server live run: `mute_member`, `unmute_member`, and `kick_member`, because the run did not use a disposable target member. They are implemented through Discord timeout/kick APIs and should only be exercised against a disposable account or bot.
+
+The test fixed one real test-fixture issue: `EBAEventProbe` previously assumed `get_bots()` returned UUID strings. The current standalone runtime returns bot dictionaries, so the probe now selects an enabled bot dictionary and passes its `uuid` to `get_bot_info` and `send_message`. The probe also now subscribes to `MessageDeleted`.
+
+## Standalone Runtime Plugin E2E Record
+
+Verified again on May 10, 2026 with SDK standalone runtime, LangBot `--standalone-runtime`, Discord web client, the LangBot server, and `#🐞-debugging`.
+
+Evidence:
+
+- Main plugin JSONL: `data/temp/discord-plugin-e2e-20260510-final.jsonl`
+- LangBot runtime log: `data/temp/discord-langbot-e2e-20260510-rerun.log`
+
+Observed and verified:
+
+- A newly invited Discord bot connected to the LangBot server and received a real web-client message in `#🐞-debugging`.
+- `MessageReceived` reached the plugin with `bot_uuid=eba-discord-live`, `adapter_name=discord`, common `Source`/`Plain` message components, common `User`, and common `UserGroup` for the guild.
+- SDK API calls succeeded: `get_langbot_version`, `get_bots`, `get_bot_info`, `send_message`, plugin storage, workspace storage, `list_plugins_manifest`, `list_commands`, `list_tools`, and `list_knowledge_bases`.
+- Outbound component sweep succeeded: plain text plus user mention, `AtAll`/`@everyone`, base64 image, quoted reply, file attachment, and flattened forward fallback.
+- Common APIs succeeded: `get_user_info`, `get_group_info`, `get_group_member_list`, and `get_group_member_info`.
+- Discord platform APIs succeeded through `call_platform_api`: `get_channel`, `typing`, `get_guild`, `get_guild_channels`, and `get_guild_roles`.
+
+Documented limits in this E2E run:
+
+- Real Discord UI inbound attachment/image/file, reply/quote, and fresh mention-chain messages were not completed in the plugin E2E evidence. Outbound image/file attachments from the bot do not prove inbound attachment conversion.
+- A later May 10 UI retry could write text into the Discord message box, but the client kept the send button disabled and did not send the message, so it produced no new plugin evidence.
+- `get_message`, `get_friend_list`, and `get_group_list` are not supported by this Discord adapter.
+- Destructive moderation and guild-leave APIs were not repeated against the shared LangBot server.
+- Native Discord voice is not represented as common `Voice`; audio-like payloads are treated as file attachments.
+- `create_invite`, pin/unpin, and reaction mutation were covered by prior direct live probes but were not repeated by the final plugin run to avoid extra shared-server side effects.

docs/event-based-agents/adapters/lark.md

@@ -0,0 +1,135 @@
+# Lark / Feishu EBA Adapter Migration Record
+
+Status: migrated with unit coverage and partial live plugin E2E. WebSocket text reached the standalone runtime once in the LangBot organization test app, but the latest real UI image/file inbound attempts did not reach the local adapter log, so media receive is not release-complete yet.
+
+Adapter directory: `src/langbot/pkg/platform/adapters/lark/`
+
+## What Changed
+
+The Lark/Feishu adapter now has an Event-Based Agents adapter package with:
+
+- `manifest.yaml` for adapter metadata, configuration, events, common APIs, platform-specific APIs, app type, and communication mode.
+- `adapter.py` for self-built/store app token handling, WebSocket long connection startup, Webhook callback handling, card feedback, streaming-card replies, and EBA dispatch.
+- `event_converter.py` for native Feishu events to common EBA events.
+- `message_converter.py` for Feishu text/post/image/file/audio payloads to/from common `MessageChain` components.
+- `api_impl.py` for common EBA API implementations.
+- `platform_api.py` for Feishu-specific `call_platform_api` actions.
+
+The legacy `lark` adapter remains available while the EBA adapter is registered separately as `lark-eba`.
+
+## Configuration
+
+| Field | Required | Notes |
+|-------|----------|-------|
+| `app_id` | yes | Feishu/Lark application App ID. |
+| `app_secret` | yes | Feishu/Lark application App Secret. |
+| `bot_name` | yes | Must match the bot name so group mentions can be recognized. |
+| `enable-webhook` | yes | `false` uses WebSocket long connection; `true` uses Request URL/Webhook callbacks. |
+| `webhook_url` | no | Generated callback URL for Webhook mode. |
+| `encrypt-key` | no | Webhook decrypt key when event encryption is enabled. |
+| `enable-stream-reply` | yes | Enables streaming replies through an updating Feishu card. |
+| `app_type` | no | `self` for self-built apps; `isv` for store apps. |
+| `bot_added_welcome` | no | Optional group welcome message sent after bot-added events. |
+
+## Application And Communication Modes
+
+| Mode | Support | Implementation |
+|------|---------|----------------|
+| Self-built application | implemented | Uses standard app credentials and tenant token behavior from the Feishu SDK client. |
+| Store application | implemented | Builds an ISV client, requests app tickets, and resolves app/tenant access tokens with per-tenant caching. |
+| WebSocket long connection | implemented | Registers `im.message.receive_v1` and card-action callbacks through `lark_oapi.ws.Client`. |
+| Webhook Request URL | implemented | Handles URL verification, encrypted payloads, message events, app-ticket events, bot-added events, and card-action feedback. |
+
+## Supported Events
+
+| Event | Support | Evidence |
+|-------|---------|----------|
+| `message.received` | implemented | Unit coverage for private and group native events to common EBA events. |
+| `bot.invited_to_group` | implemented | Webhook bot-added event maps to common bot invite event and optional welcome send. |
+| `platform.specific` | implemented | Unknown callback events are preserved as `platform.specific`. |
+| `FeedbackEvent` | compatibility event | Card button feedback is still dispatched through the existing SDK `FeedbackEvent` type. |
+
+## Receive Components
+
+| Component | Support | Evidence |
+|-----------|---------|----------|
+| `Source` | supported | Unit coverage; live private text evidence. |
+| `Plain` | supported | Text and post payloads convert to common text; live private text evidence. |
+| `At` | supported | Feishu mentions map to common `At` with user ID and display name. |
+| `AtAll` | supported | `user_id=all` maps to common `AtAll`. |
+| `Image` | supported | Image payloads download through message resource API and map to common `Image`; real UI image send attempted, but not observed in local plugin evidence yet. |
+| `Voice` | supported | Audio payloads download through message resource API and map to common `Voice`. |
+| `File` | supported | File payloads download through message resource API and map to common `File`; real UI file send attempted, but not observed in local plugin evidence yet. |
+| `Quote` | supported | Parent/thread reply lookup maps quoted content into common `Quote`. |
+| `Face` | not native common mapping | Feishu emoji/stickers are not exposed as a portable common `Face` component here. |
+| `Forward` | not-supported inbound | Feishu does not expose a portable structured forward event in this adapter. |
+
+## Send Components
+
+| Component | Support | Evidence |
+|-----------|---------|----------|
+| `Plain` | supported | Unit coverage; sends Feishu `text`. |
+| `At` | supported | Unit coverage; sends Feishu `post` at element. |
+| `AtAll` | supported | Unit coverage; sends Feishu `post` at-all element. |
+| `Image` | supported | Uploads image resource and sends Feishu `image`. |
+| `Voice` | supported | Uploads OPUS/audio resource and sends Feishu `audio`. |
+| `File` | supported | Uploads file resource and sends Feishu `file`. |
+| `Quote` | supported/fallback | Sends quote marker plus origin content. |
+| `Face` | not-supported | No portable send mapping. |
+| `Forward` | flattened fallback | Flattens forward nodes into text/media messages. |
+
+## Common APIs
+
+| API | Support | Notes |
+|-----|---------|-------|
+| `send_message` | supported | Supports private/open_id and group/chat_id targets; live plugin outbound component sweep produced visible Feishu messages. |
+| `reply_message` | supported | Replies to the source Feishu message; fixed to recover the native Feishu message ID from legacy-wrapped source events. |
+| `get_message` | cache-backed/API-backed | Returns cached inbound event where possible and converts uncached Feishu message API items into common `MessageReceivedEvent`. |
+| `get_group_info` | supported | Uses cached group or Feishu chat metadata. |
+| `get_group_member_info` | limited | Uses cached user data when available. |
+| `get_user_info` | limited | Uses cached user data when available. |
+| `get_file_url` | limited | Returns `file://` paths from downloaded inbound resources; remote Feishu resource download uses platform-specific API params. |
+| `call_platform_api` | supported | See below. |
+
+## Platform-Specific APIs
+
+| Action | Support | Evidence |
+|--------|---------|----------|
+| `check_tenant_access_token` | supported | Unit coverage. |
+| `refresh_app_access_token` | supported | Store-app token path implemented. |
+| `refresh_tenant_access_token` | supported | Store-app tenant token path implemented. |
+| `get_chat` | supported | Feishu chat metadata API wrapper. |
+| `get_message` | supported | Feishu message API wrapper with JSON-safe return values for plugin calls. |
+| `get_message_resource` | supported | Feishu message resource download wrapper. |
+
+## End-to-End Evidence
+
+Current code-level evidence:
+
+- `tests/unit_tests/platform/test_lark_eba_adapter.py`
+- `PYTHONPATH=../langbot-plugin-sdk/src uv run pytest tests/unit_tests/platform/test_lark_eba_adapter.py -q`
+
+Live evidence collected on May 11, 2026:
+
+- Standalone runtime: `uv run lbp rt --ws-control-port 5400 --ws-debug-port 5401 --skip-deps-check`
+- LangBot: `uv run main.py --standalone-runtime --debug`
+- Plugin: `LangBot__EBAEventProbe`
+- Feishu org/app: LangBot organization, `LangBotDev` private chat.
+- Observed plugin JSONL: one private `MessageReceived` event with `Source + Plain`; plugin API probe then exercised bot discovery, bot info, `send_message`, outbound component sweep, storage/list APIs, and safe platform API calls.
+- Real UI sends attempted after the fixes: private text, local file, and image/video image upload. These appeared in the Feishu client but did not append new `EBAEventProbe` records in the local JSONL during this run.
+- Fixes from live testing: reply path now extracts the native Feishu `message_id` from legacy-wrapped source events; WebSocket callbacks are scheduled onto the adapter event loop instead of assuming the SDK callback has a running asyncio loop; platform API results are converted to JSON-safe values.
+
+Live E2E items still required before marking release-complete:
+
+- WebSocket self-built app in LangBot organization: repeat private text after callback-loop fix, plus private image/file/audio and group mention message received by `EBAEventProbe`.
+- Webhook self-built app in LangBot organization: URL verification plus text/image/file message received by `EBAEventProbe`.
+- Store app token path: at least token acquisition/tenant-token safe API through `call_platform_api`; full message E2E if a LangBot organization store-app fixture is available.
+- Outbound component sweep: text, mention, at-all, image, file, voice where Feishu accepts the fixture, quote/fallback, and forward/fallback.
+- Safe platform API sweep: token check, chat metadata, message lookup, and message resource download using real inbound IDs.
+
+## Known Limits
+
+- Store-app live E2E requires a real ISV app ticket/tenant installation fixture.
+- Current LangBot organization WebSocket run connected successfully but did not deliver the latest UI-sent image/file attempts to local plugin evidence; this blocks release-complete media acceptance.
+- Feishu native emoji/sticker semantics are not represented as common `Face`.
+- Destructive org or chat mutations are not declared in this adapter.

docs/event-based-agents/adapters/officialaccount.md

@@ -0,0 +1,101 @@
+# OfficialAccount EBA Adapter
+
+Adapter directory: `src/langbot/pkg/platform/adapters/officialaccount/`
+
+Manifest name: `officialaccount-eba`
+
+Status: partial migration. Unit/API-shape coverage is present, and private text `plugin-e2e-ui` plus safe API evidence has been verified against the `dev.rockchin.top` Official Account fixture. Proactive outbound `send_message` remains not supported by this adapter because WeChat Official Account replies must be tied to inbound webhook windows.
+
+## Config
+
+| Field | Required | Notes |
+| --- | --- | --- |
+| `webhook_url` | no | Generated by LangBot and copied into the Official Account callback settings. |
+| `token` | yes | WeChat callback token. |
+| `EncodingAESKey` | yes | WeChat message encryption key. |
+| `AppID` | yes | Official Account app ID. |
+| `AppSecret` | yes | Official Account app secret. |
+| `Mode` | yes | `drop` waits for an in-callback reply; `passive` returns the loading text first and queues the answer for the user's next message. |
+| `LoadingMessage` | no | Only used by `passive` mode. |
+| `api_base_url` | no | Optional API base URL for proxy deployments. |
+
+## Events
+
+| Event | Evidence | Notes |
+| --- | --- | --- |
+| `message.received` | plugin-e2e-ui, unit | Text UI message verified through WeChat Official Account on `dev.rockchin.top`; image and voice webhook payloads are covered by unit tests. |
+| `platform.specific` | unit | Subscribe/menu/etc. native events are emitted as structured `PlatformSpecificEvent`. |
+
+## Common APIs
+
+| API | Evidence | Notes |
+| --- | --- | --- |
+| `reply_message` | unit | Queues/passively returns text through the inbound webhook source event. |
+| `get_message` | plugin-e2e-ui, unit | Cached inbound message retrieved by `EBAEventProbe` platform API sweep. |
+| `get_user_info` | plugin-e2e-ui, unit | Cached inbound sender retrieved by `EBAEventProbe` platform API sweep. |
+| `get_friend_list` | plugin-e2e-ui, unit | Cached inbound sender list retrieved by `EBAEventProbe` platform API sweep. |
+| `call_platform_api` | plugin-e2e-ui, unit | Safe diagnostic actions verified through `get_mode` and `get_cached_response_status`. |
+| `send_message` | not-supported | Official Account customer-service proactive messaging is not implemented by the existing SDK adapter; only webhook reply is supported here. |
+
+## Platform APIs
+
+| Action | Evidence | Notes |
+| --- | --- | --- |
+| `get_mode` | plugin-e2e-ui, unit | Returned `{"mode": "drop", "longer_response": false}` in live probe. |
+| `get_cached_response_status` | plugin-e2e-ui, unit | Returned `{"pending": false}` in live probe. |
+
+## Components
+
+| Receive Component | Evidence | Notes |
+| --- | --- | --- |
+| `Source` | plugin-e2e-ui, unit | Uses `MsgId` and `CreateTime`; live UI text message included `Source`. |
+| `Plain` | plugin-e2e-ui, unit | Live UI text message mapped to `Plain`. |
+| `Image` | unit | `PicUrl` and `MediaId` map to common `Image`. |
+| `Voice` | unit | `MediaId` maps to common `Voice`. |
+| `Unknown` | unit | Unsupported message/event types do not crash. |
+| `At`, `AtAll`, `File`, `Quote`, `Face`, `Forward`, mixed chain | not-supported | WeChat Official Account inbound webhook payloads used by the current SDK do not expose these as common structured components. |
+
+| Send Component | Evidence | Notes |
+| --- | --- | --- |
+| `Plain` | unit | Sent as webhook reply text. |
+| `Image`, `Voice`, `File`, `Quote`, `At`, `AtAll`, `Face`, `Forward`, mixed chain | not-supported | Existing SDK reply path is text XML only; non-text components degrade to readable placeholders in tests and are not declared as supported outbound components. |
+
+## Verification Record
+
+Test date: 2026-05-28
+
+Endpoint/simulator: `dev.rockchin.top` with WeChat desktop client and a real subscribed Official Account conversation. The running EBA test stack used SDK standalone runtime ports `5400/5401`, LangBot from `/home/wgc/LangBotxg/LangBotEbaTest`, and `EBAEventProbe`.
+
+Verified UI message: `EBA officialaccount single probe 2026-05-28 16:53`
+
+Observed event/API evidence:
+
+- `MessageReceived`: `bot_uuid=d7c46880-a9f8-431a-9172-5d3e0d663dbc`, `adapter_name=officialaccount-eba`, `chat_type=private`, `chat_id=ovH9L7OW6hNpWZWvp_NMmypVh26w`, `message_chain=[Source, Plain]`.
+- Common safe APIs through probe platform sweep: `get_message`, `get_user_info`, `get_friend_list`.
+- Platform APIs through `call_platform_api`: `get_mode`, `get_cached_response_status`.
+- `send_message` and outbound component sweep returned explicit `NotSupportedError: send_message:official_account_requires_inbound_webhook_reply`, as expected for this adapter.
+
+Standalone runtime command:
+
+```bash
+cd langbot-plugin-sdk
+uv run python -m langbot_plugin.cli.__init__ rt --debug-only --ws-control-port 5400 --ws-debug-port 5401 --skip-deps-check
+```
+
+Probe plugin: `data/plugins/LangBot__EBAEventProbe` when live credentials are available.
+
+Adapter live probe:
+
+```bash
+uv run python -m py_compile tests/e2e/live_officialaccount_eba_probe.py
+OFFICIALACCOUNT_TOKEN=... OFFICIALACCOUNT_ENCODING_AES_KEY=... OFFICIALACCOUNT_APP_SECRET=... OFFICIALACCOUNT_APP_ID=... uv run python tests/e2e/live_officialaccount_eba_probe.py
+```
+
+Evidence JSONL path: `/home/wgc/LangBotxg/LangBotEbaTest/data/temp/officialaccount_eba_plugin_probe.jsonl` for plugin E2E, or `data/temp/officialaccount_eba_probe.jsonl` for direct adapter live probe.
+
+Destructive operations: none.
+
+Blocked items:
+
+- `plugin-e2e-outbound`: proactive `send_message` is not supported for this adapter; Official Account responses must be produced through the inbound webhook reply window.
+- Inbound image and voice live UI evidence remains pending; webhook conversion is covered by unit tests.

docs/event-based-agents/adapters/qqofficial.md

@@ -0,0 +1,114 @@
+# QQOfficial EBA Adapter
+
+Adapter directory: `src/langbot/pkg/platform/adapters/qqofficial/`
+
+Manifest name: `qqofficial-eba`
+
+Status: partial migration. The EBA adapter structure, manifest, converters, cache-backed safe APIs, platform API map, unit tests, and direct live probe scaffold are in place. A real QQ Official WebSocket bot on `dev.rockchin.top` received an inbound user message and drove LangBot into the normal pipeline path; the response path was blocked by the test environment model service returning `model_not_found` for `deepseek-v3`.
+
+## Config
+
+| Field | Required | Notes |
+| --- | --- | --- |
+| `appid` | yes | QQ Official app ID. |
+| `secret` | yes | QQ Official app secret. |
+| `token` | yes | QQ Official callback token. |
+| `enable-webhook` | yes | Uses LangBot unified webhook when true; otherwise uses the QQ WebSocket gateway. |
+| `enable-stream-reply` | yes | Enables C2C streaming replies when supported by the QQ Official endpoint. |
+| `webhook_url` | no | Generated by LangBot and copied into the QQ Official callback settings in webhook mode. |
+
+## Events
+
+| Event | Evidence | Notes |
+| --- | --- | --- |
+| `message.received` | adapter-live, unit | `C2C_MESSAGE_CREATE`, `DIRECT_MESSAGE_CREATE`, `GROUP_AT_MESSAGE_CREATE`, and `AT_MESSAGE_CREATE` map to common `MessageReceivedEvent`. A real WebSocket-mode QQ Official bot reached the LangBot pipeline on `dev.rockchin.top`; plugin JSONL evidence remains pending. |
+| `platform.specific` | unit, blocked | Unmapped gateway events are emitted as structured `PlatformSpecificEvent`; live evidence is pending. |
+
+## Common APIs
+
+| API | Evidence | Notes |
+| --- | --- | --- |
+| `send_message` | unit, blocked | Sends private C2C, group, and text-only channel messages through the existing QQ Official client. Live outbound UI verification is pending because the test pipeline failed before producing a bot response. |
+| `reply_message` | unit, blocked | Replies using the source `QQOfficialEvent` message ID when available. Live reply was blocked by the test environment model service returning `model_not_found`. |
+| `get_message` | unit | Returns cached inbound `MessageReceivedEvent`. |
+| `get_user_info` | unit | Returns cached inbound sender. |
+| `get_friend_list` | unit | Returns cached private senders. |
+| `get_group_info` | unit | Returns cached group/channel metadata from inbound events. |
+| `get_group_member_info` | unit | Returns cached group sender as a common member. |
+| `get_group_member_list` | unit | Returns cached group members observed by the adapter. |
+| `call_platform_api` | unit, blocked | Safe diagnostic actions are implemented; live calls are pending credentials. |
+
+## Platform APIs
+
+| Action | Evidence | Notes |
+| --- | --- | --- |
+| `check_access_token` | unit, blocked | Calls the existing client token check. |
+| `refresh_access_token` | unit, blocked | Forces token refresh. |
+| `get_gateway_url` | unit, blocked | Fetches the WebSocket gateway URL. |
+| `get_mode` | unit | Returns webhook and stream-reply mode. |
+
+## Components
+
+| Receive Component | Evidence | Notes |
+| --- | --- | --- |
+| `Source` | unit | Uses QQ message/event IDs and timestamp. |
+| `Plain` | unit | Preserves text content. |
+| `At` | unit | Group and channel mention events insert an adapter bot mention marker. |
+| `Image` | unit | QQ image attachment URL is converted to common `Image`; falls back to URL if download fails. |
+| `Unknown` | unit | Unsupported/empty native payloads become `Unknown`. |
+| `Voice`, `File`, `Quote`, `Face`, `Forward`, mixed chain | blocked | Current native parser only exposes text and image attachments; live endpoint behavior still needs verification. |
+
+| Send Component | Evidence | Notes |
+| --- | --- | --- |
+| `Plain` | unit, blocked | Sends through private, group, or channel text APIs. |
+| `At`, `AtAll` | unit, blocked | Converted to readable mention text. |
+| `Image` | unit, blocked | Sends through the QQ Official rich media upload/send path for C2C and group targets. |
+| `Voice` | unit, blocked | Sends through the QQ Official rich media upload/send path for C2C and group targets. |
+| `File` | unit, blocked | Sends through the QQ Official rich media upload/send path for C2C and group targets. |
+| `Quote`, `Forward`, mixed chain | unit, blocked | Flattened to ordered send payloads where possible. |
+| `Face` | not-supported | No common QQ Official face mapping is implemented. |
+
+## Verification Record
+
+Test date: 2026-06-02
+
+Endpoint/simulator: `dev.rockchin.top` with a real QQ Official WebSocket bot (`qqofficial-eba`, bot UUID `80a5560b-52b1-40e7-b7d6-4a2341eb4780`) and LangBot running from `/home/wgc/LangBotxg/LangBotEbaTest`.
+
+Observed evidence:
+
+- The QQ Official WebSocket bot was enabled with `enable-webhook=false`.
+- A real user message reached LangBot and entered the standard pipeline path.
+- The response path stopped at the model layer with `model_not_found` for `deepseek-v3`; this is a model/provider configuration issue, not an adapter conversion failure.
+- `qq-webhook.langbot.dev` was temporarily routed through Caddy to `127.0.0.1:5301` for webhook checks, but the observed EBA bot used WebSocket mode.
+
+Standalone runtime command:
+
+```bash
+cd langbot-plugin-sdk
+uv run python -m langbot_plugin.cli.__init__ rt --debug-only --ws-control-port 5400 --ws-debug-port 5401 --skip-deps-check
+```
+
+Probe plugin: `data/plugins/LangBot__EBAEventProbe` when live credentials are available.
+
+Adapter live probe:
+
+```bash
+uv run python -m py_compile tests/e2e/live_qqofficial_eba_probe.py
+QQOFFICIAL_APPID=... QQOFFICIAL_SECRET=... QQOFFICIAL_TOKEN=... uv run python tests/e2e/live_qqofficial_eba_probe.py
+```
+
+Webhook-mode probe:
+
+```bash
+QQOFFICIAL_APPID=... QQOFFICIAL_SECRET=... QQOFFICIAL_TOKEN=... uv run python tests/e2e/live_qqofficial_eba_probe.py --webhook --host 0.0.0.0 --port 5312
+```
+
+Evidence JSONL path: `data/temp/qqofficial_eba_probe.jsonl` for direct adapter live probe; plugin E2E evidence should use `data/temp/qqofficial_eba_plugin_probe.jsonl`.
+
+Destructive operations: none implemented.
+
+Blocked items:
+
+- `plugin-e2e-ui`: standalone probe plugin JSONL evidence is still pending; the observed live run reached LangBot core/pipeline but was not recorded by the EBA probe plugin.
+- `plugin-e2e-outbound`: waiting for visible QQ client verification of plugin `send_message`/`reply_message` output after a working model/provider is configured.
+- Inbound non-text media and platform lifecycle events require endpoint evidence before they can be marked complete.

docs/event-based-agents/adapters/slack.md

@@ -0,0 +1,84 @@
+# Slack EBA Adapter
+
+## Structure
+
+Slack is migrated into `src/langbot/pkg/platform/adapters/slack/` with the standard EBA adapter layout:
+
+- `adapter.py` owns lifecycle, listener dispatch, unified webhook handling, outbound send/reply, and event caches.
+- `event_converter.py` maps Slack `im` and `app_mention` channel events to `message.received`.
+- `message_converter.py` maps common `MessageChain` components to Slack text fallback and maps inbound Slack text/image payloads back to EBA components.
+- `api_impl.py` provides cache-backed common read APIs.
+- `platform_api.py` declares safe Slack-specific API actions.
+- `manifest.yaml` declares `slack-eba`.
+
+The legacy `src/langbot/pkg/platform/sources/slack.py` adapter is kept unchanged.
+
+## Configuration
+
+| Field | Required | Notes |
+|-------|----------|-------|
+| `webhook_url` | No | Generated by LangBot. Paste it into Slack Event Subscriptions. |
+| `bot_token` | Yes | Slack bot token, usually `xoxb-...`. |
+| `signing_secret` | Yes | Slack app signing secret. |
+
+## Events
+
+| Event | Notes |
+|-------|-------|
+| `message.received` | Emitted for private `im` messages and channel `app_mention` events. Channel messages are mapped to group chats. |
+| `platform.specific` | Reserved for Slack event types that are not converted into common message events. |
+
+## Common APIs
+
+Required:
+
+- `send_message`
+- `reply_message`
+
+Optional:
+
+- `get_message`
+- `get_user_info`
+- `get_friend_list`
+- `get_group_info`
+- `get_group_list`
+- `get_group_member_list`
+- `get_group_member_info`
+- `call_platform_api`
+
+Cache-backed APIs are only available after the relevant inbound event has been observed.
+
+## Platform APIs
+
+| Action | Notes |
+|--------|-------|
+| `get_mode` | Returns webhook mode and configured bot account id. |
+| `auth_test` | Calls Slack `auth.test` with the configured bot token. |
+
+## Known Limits
+
+- Slack file/image outbound is currently represented as text fallback because the existing Slack SDK wrapper only exposes `chat_postMessage`.
+- Inbound channel coverage follows the legacy adapter behavior: only `app_mention` events are treated as group messages.
+- Real live testing requires a public callback URL configured in Slack Event Subscriptions.
+
+## Verification
+
+Local mocked unit coverage validates manifest parity, event conversion, legacy listener compatibility, cache-backed APIs, send/reply routing, and declared platform APIs.
+
+Plugin E2E evidence was captured on June 2, 2026 against `dev.rockchin.top` with Slack private DM input and `EBAEventProbe` through the standalone runtime.
+
+Evidence file: `/home/wgc/LangBotxg/LangBotEbaTest/data/temp/slack_eba_plugin_probe.jsonl`.
+
+Observed:
+
+- Real Slack private text produced `MessageReceived` with `adapter_name=slack-eba`, `Source + Plain`, private chat type, and filled `bot_uuid`.
+- Safe common APIs passed: `get_message`, `get_user_info`, `get_friend_list`.
+- Outbound component fallback sweep passed through `send_message`: plain/at/face, image, quote, file, and forward.
+- Declared Slack platform APIs passed: `get_mode`, `auth_test`.
+
+Still pending:
+
+- Channel `app_mention` plugin E2E.
+- Real inbound Slack file/image UI evidence.
+
+Live probe scaffold: `tests/e2e/live_slack_eba_probe.py`.

docs/event-based-agents/adapters/telegram.md

@@ -0,0 +1,139 @@
+# Telegram EBA Adapter
+
+## Status
+
+Telegram has been migrated to the EBA adapter directory:
+
+```text
+src/langbot/pkg/platform/adapters/telegram/
+├── adapter.py
+├── api_impl.py
+├── event_converter.py
+├── manifest.yaml
+├── message_converter.py
+├── platform_api.py
+└── types.py
+```
+
+The adapter is registered as `telegram-eba`.
+
+## Configuration
+
+| Field | Required | Default | Description |
+|-------|----------|---------|-------------|
+| `token` | Yes | `""` | Telegram Bot API token from BotFather. |
+| `markdown_card` | No | `true` | Whether to render Markdown card style replies. |
+| `enable-stream-reply` | Yes | `false` | Whether to use Telegram streaming reply mode. |
+
+## Events
+
+Telegram declares these EBA events:
+
+- `message.received`
+- `message.edited`
+- `message.reaction`
+- `group.member_joined`
+- `group.member_left`
+- `group.member_banned`
+- `bot.invited_to_group`
+- `bot.removed_from_group`
+- `bot.muted`
+- `bot.unmuted`
+- `platform.specific`
+
+`platform.specific` is currently used for Telegram-only callback and chat-member update payloads that do not yet have a more specific common event type.
+
+## Common APIs
+
+| API | Status | Notes |
+|-----|--------|-------|
+| `send_message` | Supported | Supports text, image, file, and mixed message chains. |
+| `reply_message` | Supported | Supports quoted replies through the original message event. |
+| `edit_message` | Supported | Uses Telegram message editing APIs. |
+| `delete_message` | Supported | Deletes messages where bot permissions allow it. |
+| `forward_message` | Supported | Forwards a message between Telegram chats. |
+| `get_group_info` | Supported | Uses Telegram chat metadata. |
+| `get_group_member_list` | Supported | Telegram only exposes administrators through the Bot API; this returns the available member set. |
+| `get_group_member_info` | Supported | Maps Telegram member status to EBA member roles. |
+| `get_user_info` | Supported | Uses Telegram `get_chat` for user chat metadata. |
+| `upload_file` | Not supported | Telegram has no standalone upload endpoint; files are uploaded as part of messages. The adapter raises `NotSupportedError`. |
+| `get_file_url` | Supported | Returns the Bot API file URL. Test output redacts the bot token. |
+| `mute_member` | Supported | Requires a supergroup and bot moderation permission. |
+| `unmute_member` | Supported | Uses current `telegram.ChatPermissions` fields. |
+| `kick_member` | Supported | Destructive; should only be run against disposable users/bots in tests. |
+| `leave_group` | Supported | Destructive; should run at the end of a live test. |
+| `call_platform_api` | Supported | See below. |
+
+## Platform-Specific APIs
+
+`call_platform_api(action, params)` supports:
+
+- `pin_message`
+- `unpin_message`
+- `unpin_all_messages`
+- `get_chat_administrators`
+- `set_chat_title`
+- `set_chat_description`
+- `get_chat_member_count`
+- `send_chat_action`
+- `create_chat_invite_link`
+- `answer_callback_query`
+
+## Live Test Record
+
+The live probe is:
+
+```bash
+uv run python tests/e2e/live_telegram_eba_probe.py --help
+```
+
+It supports private chat tests, group/supergroup tests, moderation tests, destructive tests, and a callback-only mode.
+
+Verified on May 7, 2026:
+
+- Private chat message APIs: send, reply, edit, delete, forward.
+- Private chat media APIs: image/file sending and `get_file_url`.
+- User API: `get_user_info`.
+- Supergroup APIs: group info, member list, member info, administrators, member count, invite link.
+- Supergroup mutation APIs: pin, unpin, unpin all, set title, restore title, set description, restore description.
+- Moderation APIs: mute and unmute against a non-owner target bot.
+- Destructive APIs: kick a disposable target bot, then make the test bot leave the test group.
+- Event conversion observed for `message.received`, `group.member_banned`, `group.member_left`, `bot.removed_from_group`, and Telegram-specific chat-member updates.
+
+The test fixed one real compatibility issue: `unmute_member` previously used Telegram's removed `can_send_media_messages` permission field. It now uses the split media permission fields required by current `python-telegram-bot`.
+
+## Standalone Runtime Plugin E2E Record
+
+Verified on May 10, 2026 with `EBAEventProbe`, SDK standalone runtime, Telegram Lite, `@rockchinq_bot`, and `Rock'sBotGroup`.
+
+Evidence:
+
+- Private chat JSONL: `data/temp/telegram-plugin-e2e-rerun.jsonl`
+- Group chat JSONL: `data/temp/telegram-plugin-e2e-group.jsonl`
+- Private media JSONL: `data/temp/telegram-plugin-e2e-media-ui.jsonl`
+
+Observed and verified:
+
+- `MessageReceived` reached the plugin with `bot_uuid=eba-telegram-live`, `adapter_name=telegram`, common sender/chat fields, and common `MessageChain` content.
+- `BotInvitedToGroup` reached the plugin after adding the bot to `Rock'sBotGroup`.
+- SDK API calls succeeded: `get_langbot_version`, `get_bots`, `get_bot_info`, `send_message`, plugin storage, workspace storage, `list_plugins_manifest`, `list_commands`, `list_tools`, and `list_knowledge_bases`.
+- Outbound component sweep succeeded in private and group chats: plain text, mention text/equivalent, base64 image, quoted reply, file/document, and flattened forward fallback. Group mode also covered `AtAll` fallback behavior.
+- Real Telegram Lite private-chat inbound media was verified through the plugin path: a sent document arrived as common `File`, and a sent photo arrived as common `Image`.
+- Telegram platform API sweep succeeded for safe group actions: `get_chat_administrators`, `get_chat_member_count`, and `send_chat_action`.
+- Common group/user APIs succeeded in group mode: `get_user_info`, `get_group_info`, `get_group_member_list`, and `get_group_member_info`.
+
+Documented limits in this E2E run:
+
+- Real Telegram UI inbound voice, sticker/emoji-as-common-component, and reply/quote messages were not completed in the plugin E2E evidence.
+- `get_message`, `get_friend_list`, and `get_group_list` are not supported by this Telegram adapter.
+- Mutating/destructive Telegram-specific actions such as pin/unpin, title/description changes, invite-link creation, moderation, kick, and leave were not repeated in the plugin run. They remain opt-in live-probe cases.
+- Telegram does not expose a portable common `Face` component for native sticker/emoji semantics in the current adapter.
+
+## Notes for Future Adapters
+
+Telegram is the reference implementation for:
+
+- Keeping platform-specific actions behind `call_platform_api`.
+- Treating unsupported common APIs as explicit `NotSupportedError`.
+- Marking destructive live test operations behind CLI flags.
+- Redacting access tokens from live probe output.

docs/event-based-agents/adapters/wecom.md

@@ -0,0 +1,130 @@
+# WeCom EBA Adapter
+
+## Status
+
+WeCom application messages now have an EBA adapter directory:
+
+```text
+src/langbot/pkg/platform/adapters/wecom/
+├── adapter.py
+├── api_impl.py
+├── event_converter.py
+├── manifest.yaml
+├── message_converter.py
+├── platform_api.py
+└── types.py
+```
+
+The adapter is registered as `wecom-eba`.
+
+This record covers the regular WeCom application-message adapter. WeCom AI Bot (`wecombot-eba`) uses a different protocol flow and is documented separately in `wecombot.md`. WeCom Customer Service (`wecomcs`) remains a separate follow-up migration.
+
+## Configuration
+
+| Field | Required | Default | Description |
+|-------|----------|---------|-------------|
+| `webhook_url` | No | `""` | Unified webhook URL copied into the WeCom application callback settings. |
+| `corpid` | Yes | `""` | WeCom corporate ID. |
+| `secret` | Yes | `""` | WeCom application secret. |
+| `token` | Yes | `""` | WeCom callback token. |
+| `EncodingAESKey` | Yes | `""` | WeCom callback encryption key. |
+| `contacts_secret` | No | `""` | Contacts secret for contact-list based helper APIs. |
+| `api_base_url` | No | `https://qyapi.weixin.qq.com/cgi-bin` | WeCom API base URL, overrideable for proxy/private-network deployments. |
+
+## Events
+
+WeCom declares these EBA events:
+
+- `message.received`
+- `platform.specific`
+
+`message.received` currently covers text and image application callbacks. Other WeCom callback types are surfaced as `platform.specific` so plugins can inspect the raw structured payload without crashing the common message path.
+
+## Common APIs
+
+| API | Status | Notes |
+|-----|--------|-------|
+| `send_message` | Supported | Private/person target only. `target_id` must be `user_id|agent_id`. Supports text, image, voice, file, flattened forward, and quote fallback. |
+| `reply_message` | Supported | Replies to the original WeCom sender and application agent from `source_platform_object`. |
+| `get_message` | Supported from cache | Returns cached inbound `MessageReceivedEvent` by message ID. |
+| `get_user_info` | Supported | Uses cached event users first, then WeCom `user/get`. |
+| `get_friend_list` | Partial | Returns users seen by this adapter instance. Full contacts listing is not declared as common coverage. |
+| `call_platform_api` | Supported | See below. |
+| `edit_message` | Not supported | WeCom application messages do not expose a general edit endpoint for sent messages. |
+| `delete_message` | Not supported | WeCom application messages do not expose a general delete endpoint for sent messages. |
+| `get_group_info` / member APIs | Not supported | Regular WeCom application callbacks handled here are private user messages, not group-chat bot messages. |
+| `upload_file` / `get_file_url` | Not supported as common APIs | WeCom media upload is used internally while sending image/voice/file components; no portable standalone common file URL is exposed. |
+
+## Platform-Specific APIs
+
+`call_platform_api(action, params)` supports:
+
+- `check_access_token`
+- `refresh_access_token`
+- `get_user_info`
+- `send_to_all`
+
+`send_to_all` requires a configured `contacts_secret` with suitable contact visibility and should be treated as a broad-send operation in live testing.
+
+## Unit Verification
+
+Covered by:
+
+```bash
+uv run pytest tests/unit_tests/platform/test_wecom_eba_adapter.py
+```
+
+The unit tests cover:
+
+- Manifest events/APIs/platform actions match adapter declarations.
+- Outbound component conversion for text, image, voice, file, quote fallback, and byte-safe text splitting.
+- Text callback conversion to `MessageReceivedEvent`.
+- Legacy `FriendMessage` compatibility.
+- EBA listener dispatch and inbound message/user cache.
+- `send_message`, `reply_message`, and safe platform API dispatch against a mocked WeCom client.
+
+## Standalone Runtime Plugin E2E Record
+
+Verified on May 27, 2026 with `EBAEventProbe`, SDK standalone runtime, LangBot core, and a real WeCom desktop client against the server test environment.
+
+```bash
+cd langbot-plugin-sdk
+uv run python -m langbot_plugin.cli.__init__ rt --debug-only --ws-control-port 5400 --ws-debug-port 5401 --skip-deps-check
+
+cd LangBot
+uv run main.py --standalone-runtime
+
+cd data/plugins/LangBot__EBAEventProbe
+EBA_PROBE_API=1 EBA_PROBE_COMPONENT_SWEEP=1 EBA_PROBE_PLATFORM_API=1 \
+uv --project /absolute/path/to/langbot-plugin-sdk run python -m langbot_plugin.cli.__init__ run
+```
+
+Evidence:
+
+- JSONL: `data/temp/wecom_eba_plugin_probe.jsonl`
+- Bot: `wecom-eba`
+- Client: real WeCom desktop client
+- Environment: `dev.rockchin.top` test server
+
+Observed and verified:
+
+- A real private WeCom user message reached the plugin as `MessageReceived` with `adapter_name=wecom-eba`, common sender/chat fields, and `Source + Plain`.
+- SDK API calls succeeded through the standalone runtime, including `get_langbot_version`, `get_bots`, `get_bot_info`, `send_message`, plugin/workspace storage, and manifest/list APIs.
+- Safe adapter API checks succeeded through the plugin path for cached message/user data and declared safe platform API actions.
+
+Still required for stricter acceptance:
+
+- Send a private image and confirm common `Image` reaches the plugin.
+- Have the plugin call `send_message` and `reply_message` for text and one media component, then verify the WeCom client receives the bot output.
+- Exercise `send_to_all` only with a disposable visible-contact scope.
+- Trigger one non-text/image callback, if available, and confirm it becomes `PlatformSpecificEventReceived`.
+
+## Current Acceptance
+
+Current status is **partial EBA acceptance**.
+
+Blocked items:
+
+- Real inbound image/voice/file evidence was not completed in this run.
+- Inbound voice/file callback parsing is not present in the legacy `WecomClient.get_message()` path, so the EBA adapter does not claim those receive components yet.
+- Group/member/moderation APIs do not apply to this regular WeCom application-message adapter.

docs/event-based-agents/adapters/wecombot.md

@@ -0,0 +1,148 @@
+# WeComBot EBA Adapter
+
+## Status
+
+WeCom AI Bot now has an EBA adapter directory:
+
+```text
+src/langbot/pkg/platform/adapters/wecombot/
+├── adapter.py
+├── api_impl.py
+├── event_converter.py
+├── manifest.yaml
+├── message_converter.py
+├── platform_api.py
+└── types.py
+```
+
+The adapter is registered as `wecombot-eba`.
+
+This is separate from regular WeCom internal applications (`wecom-eba`). WeComBot supports WebSocket long connection mode, which does not require a webhook URL. Webhook mode remains available when `enable-webhook=true`.
+
+## Configuration
+
+| Field | Required | Default | Description |
+|-------|----------|---------|-------------|
+| `BotId` | Yes for WebSocket mode | `""` | WeCom AI Bot ID. |
+| `robot_name` | Yes | `""` | Bot display name used to strip bot mentions from incoming group text. |
+| `enable-webhook` | Yes | `false` | `false` uses WebSocket long connection mode; `true` uses webhook callback mode. |
+| `webhook_url` | No | `""` | Unified webhook URL, only needed when webhook mode is enabled. |
+| `Secret` | Yes for WebSocket mode | `""` | WeCom AI Bot secret for long connection mode. |
+| `Corpid` | Yes for webhook mode | `""` | WeCom corporate ID for webhook callback mode. |
+| `Token` | Yes for webhook mode | `""` | WeCom callback token. |
+| `EncodingAESKey` | Yes for webhook mode; optional for WebSocket media decrypt | `""` | Message encryption/decryption key. |
+| `enable-stream-reply` | No | `true` | Enables WeComBot streaming replies. |
+
+## Events
+
+WeComBot declares these EBA events:
+
+- `message.received`
+- `feedback.received`
+- `platform.specific`
+
+`message.received` covers private and group messages from the WeComBot SDK. `feedback.received` covers WeComBot like/dislike feedback callbacks. Native SDK events without a common EBA equivalent are emitted as `platform.specific`.
+
+## Common APIs
+
+| API | Status | Notes |
+|-----|--------|-------|
+| `send_message` | Supported in WebSocket mode | Sends proactive markdown/text to a person or group chat ID. Webhook mode raises `NotSupportedError` because the platform callback flow has no proactive send path here. |
+| `reply_message` | Supported | Replies through native `req_id` in WebSocket mode or stream finalization/cache in webhook mode. |
+| `get_message` | Supported from cache | Returns cached inbound `MessageReceivedEvent` by message ID. |
+| `get_user_info` | Supported from cache | WeComBot events carry user info; no full user lookup endpoint is declared. |
+| `get_friend_list` | Partial | Returns users observed by this adapter instance. |
+| `get_group_info` | Supported from cache | Returns groups observed from inbound group messages. |
+| `get_group_member_info` | Supported from cache | Returns observed sender/group-member pairs. |
+| `get_group_member_list` | Partial | Returns observed members for the cached group only. |
+| `call_platform_api` | Supported | See below. |
+| `edit_message` / `delete_message` / `forward_message` | Not supported | WeComBot does not expose portable common APIs for these operations in the current SDK wrapper. |
+| `upload_file` / `get_file_url` | Not supported as common APIs | Media is represented inside messages; no portable standalone file upload/URL API is declared. |
+| moderation / leave APIs | Not supported | WeComBot does not expose equivalent common moderation operations through this adapter. |
+
+## Platform-Specific APIs
+
+`call_platform_api(action, params)` supports:
+
+- `is_websocket_mode`
+- `get_stream_session_status`
+- `send_markdown`
+
+`send_markdown` is only available in WebSocket mode.
+
+## Unit Verification
+
+Covered by:
+
+```bash
+PYTHONPATH=/Users/wangqiang/code/python/langbot-plugin-sdk/src uv run pytest tests/unit_tests/platform/test_wecombot_eba_adapter.py
+```
+
+The unit tests cover:
+
+- Manifest events/APIs/platform actions match adapter declarations.
+- Outbound common components flatten to WeComBot markdown/text.
+- Private and group native events become `MessageReceivedEvent`.
+- Inbound image, file, voice, and quote components map to common `MessageChain`.
+- Legacy `FriendMessage`/`GroupMessage` compatibility.
+- EBA listener dispatch, message/user/group/member cache, reply, send, streaming chunk, feedback, and platform API calls.
+
+## Live Probe
+
+The direct adapter probe is:
+
+```bash
+PYTHONPATH=/absolute/path/to/langbot-plugin-sdk/src uv run python tests/e2e/live_wecombot_eba_probe.py --help
+```
+
+Default mode is WebSocket long connection and requires:
+
+- `WECOMBOT_BOT_ID`
+- `WECOMBOT_SECRET`
+- `WECOMBOT_ROBOT_NAME`
+- optional `WECOMBOT_ENCODING_AES_KEY`
+
+Webhook mode uses `--webhook` and requires:
+
+- `WECOMBOT_TOKEN`
+- `WECOMBOT_ENCODING_AES_KEY`
+- `WECOMBOT_CORPID`
+
+The probe writes JSONL evidence to `data/temp/wecombot_eba_live_probe.jsonl`, waits for a real WeComBot message, records common EBA event fields and message components, then runs safe cached/common/platform API checks.
+
+## Standalone Runtime Plugin E2E Record
+
+Verified on May 27, 2026 with `EBAEventProbe`, SDK standalone runtime, LangBot core, and the real WeCom desktop client in a WeCom AI Bot private chat.
+
+Evidence:
+
+- JSONL: `data/temp/wecombot_eba_plugin_probe.jsonl`
+- Bot UUID: `9f5d4125-7b6d-4c98-8ca2-111111111111`
+- Adapter: `wecombot-eba`
+- Client: real WeCom desktop client, private `LangBot` BOT chat
+- Mode: WebSocket long connection (`enable-webhook=false`)
+
+Observed and verified:
+
+- A real user-side message reached the plugin as `MessageReceived` with `adapter_name=wecombot-eba`, common sender/chat fields, and `Source + Plain`.
+- SDK API calls succeeded through the standalone runtime: `get_langbot_version`, `get_bots`, `get_bot_info`, `send_message`, plugin/workspace storage, manifest/list APIs, and safe cached common platform APIs.
+- Outbound component sweep was visible in the WeCom client and returned `errcode=0`: plain/mention/face fallback, base64 image marker, quote fallback, file marker, and flattened forward fallback.
+- Declared WeComBot platform APIs succeeded through `plugin.call_platform_api`: `is_websocket_mode`, `get_stream_session_status`, and `send_markdown`.
+- The `send_markdown` platform API produced visible bot output in the WeCom client.
+
+Not completed:
+
+- Clicking the visible WeCom AI feedback button did not produce a `FeedbackReceived` JSONL entry in this run, so `feedback.received` remains unverified at plugin E2E level.
+- Group chat inbound and group cache/member coverage still need a real group-side trigger.
+- Real inbound image/file/voice from the WeCom client was not exercised.
+
+## Current Acceptance
+
+Current status is **partial EBA acceptance**.
+
+Blocked or limited items:
+
+- `feedback.received` is implemented and unit-covered, but real plugin E2E feedback evidence was not observed from the desktop client click.
+- Outbound image/voice/file are flattened as textual markers because the WeComBot SDK reply/proactive path used here is markdown/text oriented.
+- Group member APIs are cache-backed and only know members observed in received messages.
+- Destructive or moderation APIs are not declared because the current WeComBot protocol surface does not provide safe common equivalents.

docs/event-based-agents/adapters/wecomcs.md

@@ -0,0 +1,161 @@
+# WeCom Customer Service EBA Adapter
+
+## Status
+
+WeCom Customer Service now has an EBA adapter directory:
+
+```text
+src/langbot/pkg/platform/adapters/wecomcs/
+├── adapter.py
+├── api_impl.py
+├── event_converter.py
+├── manifest.yaml
+├── message_converter.py
+├── platform_api.py
+└── types.py
+```
+
+The adapter is registered as `wecomcs-eba`. It is separate from regular WeCom application messages (`wecom-eba`) and WeCom AI Bot (`wecombot-eba`).
+
+## Configuration
+
+| Field | Required | Default | Description |
+|-------|----------|---------|-------------|
+| `webhook_url` | No | `""` | Unified webhook URL copied into the WeCom Customer Service callback settings. |
+| `corpid` | Yes | `""` | WeCom corporate ID. |
+| `secret` | Yes | `""` | Customer Service secret used for access tokens. |
+| `token` | Yes | `""` | Customer Service callback token. |
+| `EncodingAESKey` | Yes | `""` | Customer Service callback encryption key. |
+| `api_base_url` | No | `https://qyapi.weixin.qq.com/cgi-bin` | WeCom API base URL, overrideable for proxy/private-network deployments. |
+
+## Events
+
+| Event | Status | Notes |
+|-------|--------|-------|
+| `message.received` | Plugin E2E UI covered for text | Text, image, file, and voice payloads convert to common EBA message components in unit tests. Real WeChat customer-side UI text reached `EBAEventProbe` on May 27, 2026. |
+| `platform.specific` | Unit covered | Non-message or unknown Customer Service payloads become structured `PlatformSpecificEvent` records. |
+
+## Common APIs
+
+| API | Status | Notes |
+|-----|--------|-------|
+| `send_message` | Plugin E2E outbound covered | Private/person target only. `target_id` must be `external_userid|open_kfid`. Text and image are implemented; voice/file are explicitly unsupported. |
+| `reply_message` | Plugin E2E partial | Replies through Customer Service `kf/send_msg` using the original `source_platform_object`. The pipeline reply path reached the send API, but the dev account later hit WeCom `95001 send msg count limit`. |
+| `get_message` | Plugin E2E covered from cache | Returns cached inbound `MessageReceivedEvent` by message ID. |
+| `get_user_info` | Plugin E2E covered | Uses cached event users first, then Customer Service `customer/batchget`. |
+| `get_friend_list` | Plugin E2E covered, partial | Returns customer users seen by this adapter instance. |
+| `call_platform_api` | Unit covered | See platform-specific APIs below. |
+| `edit_message` / `delete_message` | Not supported | WeCom Customer Service does not expose a general edit/delete endpoint for bot-sent messages in this adapter. |
+| Group/member/moderation APIs | Not supported | Customer Service conversations handled here are private customer sessions, not group chats. |
+| `upload_file` / `get_file_url` | Not supported | Media upload is used internally for outbound image; no portable file URL common API is exposed. |
+
+## Platform-Specific APIs
+
+| Action | Status | Notes |
+|--------|--------|-------|
+| `check_access_token` | Unit covered | Checks whether the current access token is present. |
+| `refresh_access_token` | Unit covered | Refreshes the Customer Service access token. |
+| `get_customer_info` | Unit covered | Calls Customer Service customer lookup by `external_userid`. |
+
+## Message Components
+
+Receive:
+
+| Component | Status | Notes |
+|-----------|--------|-------|
+| `Source` | Unit covered | Uses Customer Service `msgid` and `send_time`. |
+| `Plain` | Unit covered | Text payload content is preserved. |
+| `Image` | Unit covered | Uses the base64 data URL produced by the existing SDK image download path. |
+| `Voice` | Unit covered | Maps exposed voice media ID to common `Voice.voice_id`; live UI evidence pending. |
+| `File` | Unit covered | Maps exposed file media ID/name/size to common `File`; live UI evidence pending. |
+| `Quote`, `At`, `AtAll`, `Face`, `Forward` | Not supported inbound | The current Customer Service SDK event model does not expose these as structured inbound fields. |
+| `Unknown` | Unit covered | Unsupported message types become `Unknown` in message conversion or `platform.specific` at event level. |
+
+Send:
+
+| Component | Status | Notes |
+|-----------|--------|-------|
+| `Plain` | Plugin E2E outbound covered | Sends through `kf/send_msg` text. |
+| `Image` | Plugin E2E outbound covered | Uploads media as WeCom image media and sends through `kf/send_msg` image. |
+| `Quote`, `At`, `AtAll`, `Forward` | Unit covered fallback, live partially blocked | Flattened to text where possible. In the May 27 sweep, later text sends hit WeCom `95001 send msg count limit` after the successful text/image sends. |
+| `Voice`, `File`, `Face` | Not supported | The adapter raises `NotSupportedError`; no tested Customer Service send path is implemented. |
+
+## Unit Verification
+
+Covered by:
+
+```bash
+PYTHONPATH=/Users/wangqiang/code/python/langbot-plugin-sdk/src uv run pytest tests/unit_tests/platform/test_wecomcs_eba_adapter.py
+```
+
+Result on May 27, 2026: `10 passed`.
+
+The local `PYTHONPATH` is required in this workspace because the installed SDK package in the LangBot venv does not contain the newer `langbot_plugin.api.entities.builtin.platform.errors` module; the existing EBA adapter tests need the same SDK override.
+
+## Live Probe
+
+Auxiliary direct adapter probe:
+
+```bash
+PYTHONPATH=/path/to/langbot-plugin-sdk/src uv run python -m py_compile tests/e2e/live_wecomcs_eba_probe.py
+
+WECOMCS_CORPID=... \
+WECOMCS_SECRET=... \
+WECOMCS_TOKEN=... \
+WECOMCS_ENCODING_AES_KEY=... \
+PYTHONPATH=/path/to/langbot-plugin-sdk/src \
+uv run python tests/e2e/live_wecomcs_eba_probe.py \
+  --path /wecomcs/callback \
+  --log data/temp/wecomcs_eba_live_probe.jsonl
+```
+
+This probe is diagnostic only. Final EBA acceptance still requires the standalone SDK runtime plus `EBAEventProbe` plugin path.
+
+## Standalone Runtime Plugin E2E Record
+
+Completed partial plugin E2E on May 27, 2026 against `dev.rockchin.top` and the WeChat customer-side UI entry `微信 -> 客服消息 -> 浪波智能客服`.
+
+Evidence:
+
+- Server JSONL: `/home/wgc/LangBotxg/LangBotEbaTest/data/temp/wecomcs_eba_plugin_probe.jsonl`
+- Trigger text: `EBA wecomcs dedupe probe 2026-05-27`
+- `bot_uuid`: `cc810d2c-91f3-4f92-8f27-e1bf9f7b6cb4`
+- `adapter_name`: `wecomcs-eba`
+- Observed common event: `MessageReceived`, `event.type=message.received`
+- Observed message chain: `Source + Plain`
+- Observed chat: `chat_type=private`, `chat_id=external_userid|open_kfid`
+- Observed sender: customer `User` with nickname/avatar from Customer Service lookup
+- Plugin API probe: `send_message`, `get_message`, `get_user_info`, `get_friend_list`, plugin/workspace storage, and manifest/list APIs succeeded
+- Component sweep: outbound `Plain` and `Image` succeeded; `Face` and `File` returned explicit `NotSupportedError`; later quote/forward fallback sends were blocked by WeCom `95001 send msg count limit`
+
+Command shape used:
+
+```bash
+cd langbot-plugin-sdk
+uv run python -m langbot_plugin.cli.__init__ rt --debug-only --ws-control-port 5400 --ws-debug-port 5401 --skip-deps-check
+
+cd LangBot
+PYTHONPATH=/absolute/path/to/langbot-plugin-sdk/src uv run main.py --standalone-runtime
+
+cd data/plugins/LangBot__EBAEventProbe
+DEBUG_RUNTIME_WS_URL=ws://127.0.0.1:5401/plugin/ws \
+EBA_PROBE_LOG=/absolute/path/to/LangBot/data/temp/wecomcs_eba_plugin_probe.jsonl \
+EBA_PROBE_API=1 \
+EBA_PROBE_COMPONENT_SWEEP=1 \
+EBA_PROBE_PLATFORM_API=1 \
+uv --project /absolute/path/to/langbot-plugin-sdk run python -m langbot_plugin.cli.__init__ run
+```
+
+Required real UI trigger: send a Customer Service message from the WeCom/WeChat customer-side UI to the configured `dev.rockchin.top` Customer Service account.
+
+## Current Acceptance
+
+Current status is **partial EBA acceptance**.
+
+Blocked or pending items:
+
+- Inbound UI media (`Image`, `Voice`, `File`) was not sent from the real WeChat customer UI during this run, so receive-side media remains unit-covered only.
+- Pipeline auto-reply reached `kf/send_msg`, but the test account hit WeCom `95001 send msg count limit` after successful plugin outbound text/image sends. This is recorded as an account/platform rate-limit block, not a conversion or API-shape failure.
+- The current `EBAEventProbe` run did not call the adapter-specific `call_platform_api` actions (`check_access_token`, `refresh_access_token`, `get_customer_info`); the platform API map remains unit-covered.
+- Inbound voice/file depends on whether the real Customer Service callback plus `sync_msg` endpoint returns those fields in the shape the local SDK models.
+- Group, member, edit, delete, moderation, and standalone file URL APIs are intentionally not declared because this Customer Service protocol path does not provide tested common equivalents.

docs/review/box-architecture.md

@@ -1,595 +0,0 @@
-# Box 系统架构深度分析
-
-> 更新日期: 2026-06-02
-> 状态更新: 自部署社区版已具备发布条件（box 可选、降级完善、无迁移欠债）；工具调用循环上限、配额遍历异步化、`host_path` 挂载白名单等已落地。剩余多租户 / 安全硬化项见 [SaaS 阻塞项清单](./box-issues.md)。
-> 分支: `feat/sandbox` (LangBot + langbot-plugin-sdk)
-> 相关文档: [SaaS 阻塞项](./box-issues.md) | [Session 作用域](./box-session-scope.md) | [Runtime 对比](./box-vs-plugin-runtime.md) | [测试覆盖](./box-test-coverage.md) | [toB 分析](./box-tob-analysis.md)
-
----
-
-## 1. 全局架构
-
-```
-┌──────────────────────────────────────────────────────────────────┐
-│                       LangBot 主进程                              │
-│                                                                   │
-│  LocalAgentRunner ──> ToolManager ──> NativeToolLoader            │
-│       │                    │              │                       │
-│       │                    │      exec / read / write / edit      │
-│       │                    │              glob / grep             │
-│       │                    │                                      │
-│       │                    ├──> MCPLoader ──> BoxStdioSession     │
-│       │                    │       (shared 容器, 多 process)       │
-│       │                    │                                      │
-│       │                    ├──> SkillToolLoader (activate 工具)    │
-│       │                    │                                      │
-│       │                    ├──> SkillAuthoringToolLoader          │
-│       │                    │                                      │
-│       │                    └──> PluginToolLoader                  │
-│       │                                                           │
-│  BoxService (门面)                                                 │
-│    ├─ Profile 管理 (locked 字段)                                   │
-│    ├─ Host mount 校验 (allowed_mount_roots)                        │
-│    ├─ Workspace quota 检查                                         │
-│    ├─ 输出截断 (head+tail)                                         │
-│    ├─ Session ID 模板解析 (resolve_box_session_id)                 │
-│    ├─ 技能挂载组装 (build_skill_extra_mounts)                      │
-│    ├─ 重连循环 (_reconnect_loop, 指数退避)                          │
-│    └─ BoxRuntimeConnector                                          │
-│         ├─ 心跳 loop (20s ping)                                    │
-│         └─ ActionRPCBoxClient                                      │
-│              │  Action RPC (stdio 或 WebSocket)                    │
-│                                                                    │
-│  SkillManager (skill_mgr)                                          │
-│    └─ 从 Box runtime 拉取 skills, 不可用时回落 data/skills          │
-└──────────────────────────────────────────────────────────────────┘
-               │
-               ▼
-┌──────────────────────────────────────────────────────────────────┐
-│              Box Runtime 进程 (SDK 侧)                            │
-│                                                                   │
-│  BoxServerHandler (Action RPC 处理, INIT 配置注入)                  │
-│       │                                                           │
-│  BoxRuntime (session 管理 / 进程生命周期 / TTL reaper)              │
-│       │       └─ session.managed_processes: dict[pid, _ManagedProcess]
-│       │                                                           │
-│  Backend (启动时根据 box.backend 配置选择):                          │
-│    DockerBackend ──┐                                              │
-│    PodmanBackend ──┤── CLISandboxBackend                          │
-│    NsjailBackend ──┘  (本地 CLI 或 fallback 到容器内 CLI)            │
-│    E2BBackend         (云沙箱, 需要 E2B_API_KEY)                    │
-│                                                                   │
-│  BoxSkillStore                                                    │
-│    ├─ list / get / create / update / delete                       │
-│    ├─ scan_skill_directory / read_skill_file / write_skill_file   │
-│    └─ preview_skill_zip / install_skill_zip (zip 或 GitHub)        │
-│                                                                   │
-│  aiohttp 单端口服务 (默认 :5410):                                    │
-│    /rpc/ws                                       — Action RPC      │
-│    /v1/sessions/{id}/managed-process/ws          — 默认 process     │
-│    /v1/sessions/{id}/managed-process/{pid}/ws    — 指定 process     │
-└──────────────────────────────────────────────────────────────────┘
-               │
-               ▼
-┌──────────────────────────────────────────────────────────────────┐
-│  容器 / 沙箱 (Docker/Podman 容器, nsjail sandbox, 或 E2B 远程沙箱)  │
-│  - 隔离文件系统 / 网络 / PID 命名空间                                │
-│  - 资源限制 (CPU, 内存, PID 数, 可选 workspace 配额)                 │
-│  - 主挂载 (host_path → mount_path) + 任意条 extra_mounts             │
-│      └─ Skills 通过 extra_mounts 挂在 /workspace/.skills/<name>     │
-│  - exec: 用户命令在此执行                                            │
-│  - managed process: 多个长驻进程并存 (MCP Server / 自定义服务)        │
-└──────────────────────────────────────────────────────────────────┘
-```
-
-**核心设计原则**:
-- Box Runtime 作为独立进程运行，通过 Action RPC 与 LangBot 主进程通信，两者复用 SDK 的 IO 层（Handler → Connection → Controller）
-- 一个 session_id 对应一个容器/沙箱实例。同一 session 内可并存多条 mount 与多个 managed process
-- Skill / 默认 exec / MCP Server 共享同一个 session 容器（详见 [box-session-scope.md](./box-session-scope.md)）
-
----
-
-## 2. LangBot 侧模块
-
-### 2.1 BoxService (`pkg/box/service.py`, 722 行)
-
-应用层门面，协调 Profile、安全校验、配额、连接、Skill 挂载与 Session 模板：
-
-主要公开方法（按定义顺序）：
-
-```
-BoxService
-  ├─ initialize()                              连接 Box Runtime + 默认 workspace 准备
-  ├─ _on_runtime_disconnect(connector)         触发重连
-  ├─ _reconnect_loop(connector)                指数退避重连
-  ├─ available (property)                      连接状态
-  │
-  ├─ resolve_box_session_id(query)             从 pipeline 模板解析 session_id
-  ├─ build_skill_extra_mounts(query)           组装 pipeline-bound skill 的挂载列表
-  │
-  ├─ execute_tool(parameters, query)           Agent 调用 exec 时的入口
-  │    ├─ _apply_profile / build_spec
-  │    ├─ _validate_host_mount
-  │    ├─ _enforce_workspace_quota (phase=pre)
-  │    ├─ client.execute(spec)
-  │    ├─ _enforce_workspace_quota (phase=post)
-  │    └─ _truncate (stdout/stderr)
-  │
-  ├─ execute_spec_payload(spec_payload, ...)   内部入口（其他 loader 调用）
-  ├─ create_session(spec_payload, ...)         显式创建 session
-  ├─ start_managed_process(session_id, ...)    启动 managed process
-  ├─ get_managed_process(session_id, pid)      查询进程状态（pid 默认 'default'）
-  ├─ stop_managed_process(session_id, pid)     单独停止某个 managed process
-  ├─ get_managed_process_websocket_url(...)    返回 WS attach URL
-  │
-  ├─ list_skills() / get_skill(name)           Skill 元数据
-  ├─ create_skill / update_skill / delete_skill  Skill CRUD
-  ├─ scan_skill_directory(path)                扫描目录
-  ├─ list_skill_files / read_skill_file / write_skill_file
-  ├─ preview_skill_zip / install_skill_zip     zip / GitHub 安装
-  │
-  ├─ shutdown() / dispose()                    清理：RPC SHUTDOWN + 进程终止
-  ├─ get_status() / get_sessions() / get_recent_errors()
-  └─ get_system_guidance()                     LLM 系统提示
-```
-
-**Profile 系统**: 4 个内置 Profile（`default` / `offline_readonly` / `network_basic` / `network_extended`），`locked` frozenset 字段不可被 LLM 覆盖。参数合并顺序：Profile defaults → LLM 请求参数 → locked 强制值。
-
-**输出截断**: 默认 4000 字符上限，保留前 60% + 后 40%，中间插入 `[...truncated...]`。
-
-**Skill 挂载合并**: `execute_tool()` 调用时，`build_skill_extra_mounts(query)` 会把当前 pipeline-bound 的所有 skill 的 `package_root` 作为 `extra_mounts` 加入 BoxSpec，挂在 `/workspace/.skills/<name>`。LLM 通过 `activate` 工具显式激活某个 skill 后，工具调用才允许引用这个 skill 的虚拟路径。
-
-### 2.2 BoxRuntimeConnector (`pkg/box/connector.py`, 357 行)
-
-管理与 Box Runtime 的通信连接：
-
-- **本地 stdio**: Unix/macOS 默认路径，fork `python -m langbot_plugin.cli.__init__ box -s --ws-control-port {port}` 子进程（与 plugin runtime 统一走 `lbp` CLI 入口）
-- **本地 subprocess + WS**: Windows 本地（asyncio ProactorEventLoop 不支持 stdio pipe）
-- **远程 WebSocket**: Docker 部署 / `box.runtime.endpoint` 显式配置时，连接 `ws://{host}:{port}/rpc/ws`
-- **同步等待**: `asyncio.Event` + `wait_for(timeout=30s)` 模式确认连接
-- **心跳**: `_heartbeat_loop()` 每 20s 调用 `ping()`，失败仅 DEBUG 日志（断开检测靠 connection close）
-- **重连**: `runtime_disconnect_callback` 由 BoxService 提供，触发 `_reconnect_loop`
-- **INIT 注入**: 连接建立后立即下发当前 `box.*` 配置子树（剔除 `runtime` 私有字段），Runtime 据此初始化 backend
-
-> **历史改进**: 2026-04-16 版本本文档曾列 P0 「Box 无心跳 / 无重连」，已修复（commit `2dfd9d5d`、`c6882cf`、`5029d9c` 等）。
-
-### 2.3 BoxWorkspaceSession 工具 (`pkg/box/workspace.py`, 413 行)
-
-此文件目前提供两类能力：
-
-1. **路径与命令重写工具函数** — `normalize_host_path` / `rewrite_mounted_path` / `unwrap_venv_path` / `rewrite_venv_command` / `infer_workspace_host_path`，被 MCP loader 与 Skill 路径解析共用。
-2. **`BoxWorkspaceSession`** — 围绕 BoxService 的轻量包装，专供 MCP-in-Box 场景使用（管理一个共享 session 的 session_id、构建挂载 payload、stage host 文件到共享 workspace）。
-
-**变化点**: 早期 Skill exec 会为每个 skill 创建独立 BoxWorkspaceSession（独占 session）；当前实现已转为 `extra_mounts` 模式，Skill 不再独占容器，只追加挂载。这部分 wrapping 逻辑已从 native loader 移除。
-
-### 2.4 policy.py (`pkg/box/policy.py`, 98 行) — 仍是死代码
-
-三层安全策略设计（`SandboxPolicy` / `ToolPolicy` / `ElevatedPolicy`），全项目无任何导入或调用。详见 [SaaS 阻塞项 S2](./box-issues.md)。
-
-### 2.5 SkillManager (`pkg/skill/manager.py`, 186 行)
-
-```
-SkillManager
-  ├─ initialize()                  调用 reload_skills()
-  ├─ reload_skills()               先从 Box runtime list_skills()，
-  │                                 不可用则回落 data/skills/ 扫描
-  ├─ refresh_skill_from_disk()     单 skill 重新加载
-  ├─ get_skill_by_name(name)
-  └─ get_managed_skills_root()     返回 Box 视角的 skills_root 路径
-```
-
-skill 元数据通过 `parse_frontmatter` 解析 `SKILL.md` 头部（`name` / `description` / `instructions`），不再做整体扫描的代价（典型 < 50 个）。
-
-### 2.6 Skill activation (`pkg/skill/activation.py`, 33 行) + Skill loader 辅助
-
-历史上 skill 通过 LLM 在文本中输出 `[ACTIVATE_SKILL:name]` 标记激活；当前已改为 **Tool Call 机制**：
-
-- `SkillToolLoader` (`pkg/provider/tools/loaders/skill.py`, 157 行) 暴露 `activate` 工具，参数为 skill 名
-- 工具实现调用 `register_activated_skill(query, skill_data)`，将激活态写入 `query.variables['_activated_skills']`
-- 这种 KV-cache-friendly 模式对齐 Claude Code 设计；详见 [box-session-scope.md §4.3](./box-session-scope.md) 的 Tool Call 描述
-
-`activation.py` 现仅保留对外辅助函数（pipeline 层调用 loader 的 `register_activated_skill`）。
-
----
-
-## 3. SDK 侧模块
-
-### 3.1 BoxRuntime (`box/runtime.py`, 599 行)
-
-核心编排器，管理 session 生命周期与 backend 调度：
-
-```
-Session 生命周期:
-
-  Client EXEC / CREATE_SESSION
-       │
-       ▼
-  _get_or_create_session(spec)
-    ├─ _reap_expired_sessions_locked()   清理 TTL 过期 session
-    ├─ 已存在? → _assert_session_compatible() → 复用
-    ├─ Backend session 失踪? → 重建 (commit c6882cf)
-    └─ 新建? → backend.start_session(spec) → 创建容器
-       │       └─ 应用 spec.extra_mounts （多挂载）
-       ▼
-  execute(spec)
-    ├─ 获取 session lock (每 session 独立)
-    ├─ backend.exec(session, spec)       在容器中执行命令
-    ├─ 更新 last_used_at
-    └─ 超时? → 销毁 session
-       │
-       ▼
-  Session 保持存活直到:
-    ├─ TTL 过期 (默认 300s，下次操作时清理)
-    ├─ 执行超时 (自动销毁)
-    ├─ 客户端 DELETE_SESSION
-    └─ SHUTDOWN
-```
-
-**关键设计**:
-- 每 session 有独立 `asyncio.Lock`，同一 session 内的命令串行执行
-- 每 session 维护 `managed_processes: dict[process_id, _ManagedProcess]`，支持多个长驻进程并存（MCP / 自定义）
-- 全局 `_lock` 保护 `_sessions` dict 的读写
-- 兼容性检查：比较核心 spec 字段，`image` 字段对不支持自定义镜像的 backend（nsjail/E2B）会跳过
-
-**Backend 选择 (`_select_backend`)**: 优先级
-1. 显式 `box.backend` 配置（`docker` / `nsjail` / `e2b`）
-2. `local` (默认) → Docker / Podman / nsjail CLI 顺序探测
-3. `get_status` 调用时若当前 backend 不可用，会尝试重新选择 (commit `e5617c7`)
-
-### 3.2 Backend 系统
-
-#### CLISandboxBackend (`box/backend.py`, 411 行)
-
-Docker / Podman 公共基类：
-
-```
-start_session(spec):
-  1. validate_sandbox_security(spec)
-  2. docker/podman run -d --rm --name <name>
-     --network none (可选)
-     --cpus/--memory/--pids-limit
-     --read-only + --tmpfs /tmp
-     -v <host>:<mount>:<mode>          主挂载
-     -v <extra.host>:<extra.mount>:..  额外挂载 (extra_mounts)
-     <image> sh -lc 'while true; do sleep 3600; done'
-  3. 返回 BoxSessionInfo
-
-exec(session, spec):
-  docker/podman exec -e KEY=VAL <container>
-    sh -lc 'mkdir -p <workdir> && cd <workdir> && <cmd>'
-
-start_managed_process(session, spec):
-  docker/podman exec -i <container>
-    sh -lc 'mkdir -p <cwd> && cd <cwd> && exec <command> <args>'
-  返回 asyncio.subprocess.Process (stdin/stdout PIPE)
-```
-
-容器以 idle 进程启动，实际命令通过 `docker exec` 执行。`--rm` 确保容器退出时自动清理。
-
-**Windows 支持**: backend 内对 Windows 路径处理与 subprocess 调用做了适配（commit `120817a`）。
-
-**孤儿清理**: 启动时枚举 `langbot.box=true` 标签的容器，instance_id 不匹配的强制删除。
-
-#### NsjailBackend (`box/nsjail_backend.py`, 552 行)
-
-轻量级 Linux 沙箱（无容器引擎依赖）：
-
-- 使用 namespace 隔离（user/mount/pid/ipc/uts/cgroup/net）
-- 挂载宿主 `/usr`/`/lib`/`/bin`/`/sbin` 只读 + 选定 `/etc` 条目
-- 每 session 创建独立目录（workspace/tmp/home）
-- 资源限制: cgroup v2 优先，fallback 到 rlimit
-- **CLI 兼容**: 通过 `shutil.which(self._nsjail_bin)` 检测系统安装版 nsjail；不存在时再尝试容器内 nsjail（commit `686fcc0`、`feed530`）
-- **无自定义镜像**: 使用宿主 OS，`image` 字段固定为 `'host'`，兼容性检查跳过 image
-
-#### E2BBackend (`box/e2b_backend.py`, 429 行)
-
-云沙箱后端（commit `75b547f` 引入）：
-
-- 通过 `e2b` SDK 与 E2B 平台通信
-- 配置：`box.e2b.api_key` / `api_url` / `template`
-- 支持 `extra_mounts`（commit `0fea9b1` 同步上传文件）
-- 无本地容器引擎依赖，适合无 Docker 的部署或 SaaS 多租户场景
-- 不支持自定义 image 字段，由 template 控制
-
-### 3.3 Server (`box/server.py`, 508 行)
-
-单端口 aiohttp 服务（默认 5410），通过路径区分（commit `8c71ec5` 合并端口）：
-
-1. **Action RPC** (`/rpc/ws`): `BoxServerHandler` 处理所有 action，包括 `INIT` 配置注入、skill store 操作等
-2. **WS Relay** (`/v1/sessions/{id}/managed-process/ws` 与 `/v1/sessions/{id}/managed-process/{pid}/ws`): 双向桥接 WebSocket ↔ 指定 managed process stdin/stdout
-
-stdio 模式同样会在 5410 启动 aiohttp，专门承担 managed process attach；Action RPC 走 stdin/stdout。
-
-### 3.4 Client (`box/client.py`, 377 行)
-
-`ActionRPCBoxClient` 封装 `Handler.call_action()` 调用：
-
-- 25+ 方法对应 25+ 个 RPC action（exec / session / managed-process / skill / status / shutdown）
-- 错误还原: `_translate_action_error()` 通过字符串前缀匹配还原 SDK 侧异常类型
-- `execute()` timeout = 300s，其他默认 15s
-- `BoxRuntimeClient` 是 ABC，供后续可能的非 RPC 实现复用
-
-包级别 `__init__.py` 显式导出：`BoxRuntimeClient`、`ActionRPCBoxClient`（commit `df9c722`）。
-
-### 3.5 Actions (`box/actions.py`, 34 行)
-
-`LangBotToBoxAction` 枚举共定义 **25 个** action：
-
-| 类别 | Actions |
-|------|---------|
-| 控制 | `INIT`、`HEALTH`、`STATUS`、`GET_BACKEND_INFO`、`SHUTDOWN` |
-| 执行 | `EXEC` |
-| Session | `CREATE_SESSION` / `GET_SESSION` / `GET_SESSIONS` / `DELETE_SESSION` |
-| Managed Process | `START_MANAGED_PROCESS` / `GET_MANAGED_PROCESS` / `STOP_MANAGED_PROCESS` |
-| Skill | `LIST_SKILLS` / `GET_SKILL` / `CREATE_SKILL` / `UPDATE_SKILL` / `DELETE_SKILL` / `SCAN_SKILL_DIRECTORY` / `LIST_SKILL_FILES` / `READ_SKILL_FILE` / `WRITE_SKILL_FILE` / `PREVIEW_SKILL_ZIP` / `INSTALL_SKILL_ZIP` |
-
-### 3.6 Models (`box/models.py`, 331 行)
-
-核心数据模型：
-
-| 模型 | 用途 |
-|------|------|
-| `BoxNetworkMode` | `OFF` / `ON` |
-| `BoxExecutionStatus` | `COMPLETED` / `TIMED_OUT` |
-| `BoxHostMountMode` | `NONE` / `READ_ONLY` / `READ_WRITE` |
-| `BoxManagedProcessStatus` | `RUNNING` / `EXITED` |
-| `BoxMountSpec` | 单条挂载（host_path/mount_path/mode）— **新增** |
-| `BoxSpec` | 执行请求；新增 `extra_mounts: list[BoxMountSpec]`、`persistent`、`workspace_quota_mb` |
-| `BoxProfile` | 4 个内置 Profile + `locked` frozenset |
-| `BoxSessionInfo` | Session 状态（含 backend_name/created_at/last_used_at） |
-| `BoxManagedProcessSpec` | 长驻进程参数（process_id/command/args/env/cwd） |
-| `BoxManagedProcessInfo` | 进程状态（status/exit_code/stderr_preview/attached） |
-| `BoxExecutionResult` | 执行结果（status/exit_code/stdout/stderr/duration_ms） |
-
-`BoxSpec` 校验器: `workdir` 默认继承 `mount_path`；`host_path` 支持 POSIX 和 Windows 路径；设置 `host_path` 时 `workdir` 必须在 `mount_path` 下。
-
-### 3.7 BoxSkillStore (`box/skill_store.py`, 647 行)
-
-新增模块（commit `4ab3502`），把 skill 持久化收归 Box runtime：
-
-```
-BoxSkillStore
-  ├─ list_skills() / get_skill(name)
-  ├─ create_skill(data) / update_skill(name, data) / delete_skill(name)
-  ├─ scan_skill_directory(path)            扫描目录返回候选 skill 包列表
-  ├─ list_skill_files(name, path)          浏览 skill 内文件树
-  ├─ read_skill_file(name, path) / write_skill_file(name, path, content)
-  ├─ preview_skill_zip(zip_bytes, ...)     不落盘预览 zip 内容
-  └─ install_skill_zip(zip_bytes, ...)     解压、校验、复制到 skills_root
-     └─ 支持 source_subdir / target_suffix（commit 1aa043f）
-```
-
-GitHub 安装路径：HTTP 层（`api/http/service/skill.py`）先 `git clone` 拉取，再走 `install_skill_zip` 或 directory 路径。Skill 文件存放于 `box.local.skills_root`（默认 `skills`，相对 `host_root`），容器内对应 `/workspace/.skills/`。
-
-### 3.8 Security (`box/security.py`, 52 行)
-
-`validate_sandbox_security()`: 黑名单校验 host_path，阻止挂载 `/etc`/`/proc`/`/sys`/`/dev`/`/root`/`/boot` 及 Docker/Podman socket。
-
-**已知缺陷**: 根路径 `/` 未拦截，用户 home 目录未拦截，是 denylist 而非 allowlist 策略。详见 [SaaS 阻塞项 S5](./box-issues.md)。
-
-### 3.9 Errors (`box/errors.py`, 33 行)
-
-| 异常类型 | 含义 |
-|----------|------|
-| `BoxError` | 基类 |
-| `BoxValidationError` | spec/参数校验失败 |
-| `BoxBackendUnavailableError` | 无可用 backend |
-| `BoxRuntimeUnavailableError` | Runtime 服务不可用 |
-| `BoxSessionConflictError` | session 已存在但 spec 不兼容 |
-| `BoxSessionNotFoundError` | session 不存在 |
-| `BoxManagedProcessConflictError` | session 已有同名 process |
-| `BoxManagedProcessNotFoundError` | process 不存在 |
-
----
-
-## 4. 工具系统集成
-
-### 4.1 ToolManager 编排 (`toolmgr.py`)
-
-```
-ToolManager.initialize()
-  ├─ NativeToolLoader      (exec / read / write / edit / glob / grep)
-  ├─ PluginToolLoader      (插件工具)
-  ├─ MCPLoader             (MCP Server 工具)
-  ├─ SkillToolLoader       (activate 工具 — Tool Call 激活)
-  └─ SkillAuthoringToolLoader  (Skill CRUD)
-
-工具调用优先级: native → plugin → mcp → skill → skill_authoring
-```
-
-### 4.2 Native Tools (`native.py`, 846 行)
-
-| 工具 | 是否在 Box 中执行 | 是否访问宿主文件系统 |
-|------|:---:|:---:|
-| `exec`  | 是 | 否 |
-| `read`  | **否** | **是** — 直接 `open()` 宿主文件 |
-| `write` | **否** | **是** — 直接 `open()` 宿主文件 |
-| `edit`  | **否** | **是** — 直接 `open()` 宿主文件 |
-| `glob`  | **否** | **是** — 直接遍历宿主目录 |
-| `grep`  | **否** | **是** — 直接读宿主文件 |
-
-**沙箱边界不对称**: 这是刻意的设计权衡 — `read`/`write`/`edit`/`glob`/`grep` 绕过沙箱以获得性能（避免容器 I/O 开销与跨进程拷贝），但意味着 LLM 可以直接读写 `allowed_mount_roots` 下任何文件。Skill 路径经 `_resolve_host_path()` 重写，禁止穿越 `package_root`。
-
-**exec 的 Skill 分支**: 命令中引用 `/workspace/.skills/<name>` 的 skill 时：
-1. 验证 skill 已激活
-2. 单次 exec 只能引用一个 skill 包
-3. 若 skill 是 Python 项目（有 `requirements.txt` 或 `pyproject.toml`），命令会被 venv bootstrap 包裹（在 skill 挂载点内创建 `.venv`）
-4. 调用 `box_service.execute_tool()` → 走默认 session_id 与已组装好的 `extra_mounts`，**不再为每 skill 起独立 session**
-
-### 4.3 MCP-in-Box (`mcp_stdio.py`, 354 行)
-
-`BoxStdioSessionRuntime` 让 MCP stdio 服务器在 Box 容器中运行，**共享 session、多 process**模式（commit `529088e`）：
-
-```
-initialize()
-  1. 复用/创建共享 session (session_id = _build_box_session_id())
-     - persistent=True，长期保持
-  2. workspace.execute_raw(install_cmd) 安装依赖 (可选)
-  3. 将每个 MCP server 文件 stage 到 /workspace/.mcp/<process_id>/
-  4. workspace.start_managed_process(process_id=<server>)
-  5. websocket_client(ws_url) 通过 WS relay 连接
-  6. ClientSession.initialize() MCP 协议握手
-```
-
-配置 (`MCPServerBoxConfig`): `network='on'` (MCP 服务器通常需要网络)，`host_path_mode='ro'` (默认只读)，`startup_timeout_sec=120` (留时间给 pip install)。
-
-每条 MCP server 是同一 session 中的一个 managed process，独立的 `process_id`、独立 attach URL，互不阻塞。
-
----
-
-## 5. 启动与生命周期
-
-### 5.1 启动顺序 (`build_app.py`)
-
-```
-BuildAppStage.run(ap)
-  ├─ ... (persistence, models, sessions) ...
-  │
-  ├─ BoxService(ap)
-  ├─ box_service.initialize()
-  │    └─ connector.initialize()
-  │         ├─ [stdio] fork box subprocess
-  │         ├─ [subprocess+WS] Windows 本地
-  │         └─ [remote WS] connect URL
-  │    └─ 启动心跳 _heartbeat_task
-  ├─ ap.box_service = box_service
-  │
-  ├─ ToolManager(ap)
-  ├─ tool_mgr.initialize()
-  │    ├─ NativeToolLoader   (检查 box_service.available)
-  │    ├─ PluginToolLoader
-  │    ├─ MCPLoader          (Box 可用时，stdio MCP 走沙箱)
-  │    └─ SkillAuthoringToolLoader
-  ├─ ap.tool_mgr = tool_mgr
-  │
-  ├─ ... (platform, pipeline) ...
-  ├─ SkillManager.initialize()    (从 Box runtime 加载 skill 列表)
-  └─ ... (RAG, HTTP, plugins) ...
-```
-
-BoxService 在 ToolManager **之前**初始化。ToolManager 创建 loader 时检查 `box_service.available`。
-
-### 5.2 初始化失败处理
-
-```python
-try:
-    await self._runtime_connector.initialize()
-    self._available = True
-except Exception as e:
-    self._available = False
-    logger.warning(f"Box runtime unavailable: {e}")
-```
-
-**静默降级**: Box 初始化失败不会阻止应用启动，仅导致 6 个 native tool、所有 Skill 工具和 MCP-in-Box 工具不暴露给 LLM。与 Plugin 的行为不同（Plugin 失败会抛异常）。
-
-### 5.3 销毁流程
-
-```
-app.dispose()
-  └─ box_service.dispose()
-       ├─ connector.dispose()
-       │    ├─ cancel _heartbeat_task
-       │    ├─ cancel _handler_task / _ctrl_task
-       │    └─ terminate subprocess (SIGTERM)
-       └─ loop.create_task(client.shutdown())
-            └─ RPC SHUTDOWN → Box Runtime 清理所有容器
-```
-
-Box 额外做了 RPC SHUTDOWN 通知 Runtime 主动清理容器，比 Plugin 的直接杀进程更安全。
-
----
-
-## 6. 配置
-
-### config.yaml (重构后)
-
-```yaml
-box:
-    enabled: true         # 整个 Box 子系统的总开关。设为 false 时：
-                          #  - 不连接远程 Box runtime，不 fork 本地 stdio 子进程
-                          #  - sandbox 工具 (exec/read/write/edit/glob/grep) 不暴露给 LLM
-                          #  - skill 添加/编辑 / GitHub 安装 / 文件写入全部拒绝
-                          #  - stdio 模式的 MCP server 启动时报错（http/sse 模式不受影响）
-                          #  - skill 列表/读取保持只读可用
-                          # BOX__ENABLED 环境变量可覆盖（统一约定）
-    backend: 'local'      # 'local' (探测) / 'docker' / 'nsjail' / 'e2b'
-                          # 由 box.backend / BOX__BACKEND 选择后端
-    runtime:
-        endpoint: ''      # 外部 Runtime 的 WS 基地址 'ws://host:5410'
-                          # 留空 = 本地自管 Runtime
-    local:
-        profile: 'default'
-        image: ''                       # 覆盖 profile 默认 image
-        host_root: './data/box'         # 工作区挂载根，Docker 部署需绝对路径
-        default_workspace: ''           # 默认 '<host_root>/default'
-        skills_root: 'skills'           # Box 管理的 skill 包目录（相对 host_root）
-        allowed_mount_roots:            # 默认 ['<host_root>']
-            - './data/box'
-            - '/tmp'
-        workspace_quota_mb: null        # 配额覆盖，null = 走 profile
-    e2b:
-        api_key: ''                     # 也可走 E2B_API_KEY 环境变量
-        api_url: ''                     # 自托管 E2B 时填写
-        template: ''                    # 默认 template ID
-```
-
-> **重大变更**: 较 2026-04-16 文档，配置结构完全重组（commit `eefdea4`）。原字段 `box.profile` / `box.runtime_url` / `box.shared_host_root` / `box.allowed_host_mount_roots` 全部迁入 `box.local.*` 子表，新增 `box.backend` 与 `box.e2b.*` 配置组。
-
-### docker-compose.yaml
-
-`langbot_box` 服务受 compose profile 控制,默认 `docker compose up` **不会**启动它。需要 sandbox 时:
-
-```bash
-docker compose --profile box up        # 启动 langbot + langbot_box + plugin runtime
-docker compose --profile all up        # 同上
-docker compose up                       # 只起 langbot + plugin runtime (box 关闭)
-```
-
-若不起 `langbot_box`,需要同步在 `data/config.yaml` 中设 `box.enabled: false`(或 langbot 容器 env 加 `BOX__ENABLED=false`),否则 LangBot 会一直尝试连接不存在的 Box runtime 并报错。
-
-```yaml
-# langbot_box 的关键 volume
-volumes:
-  - ${LANGBOT_BOX_ROOT}:${LANGBOT_BOX_ROOT}         # 工作区挂载(源/目标同路径)
-  - /var/run/docker.sock:/var/run/docker.sock       # Docker backend 复用宿主 docker
-```
-
-### 关闭/连接失败时的行为矩阵
-
-`box.enabled = false` 与"启用但连接失败"在用户可观察行为上**完全一致**——都通过 `BoxService.available = False` 表达,只是 `get_status` 多返回 `enabled` 字段供前端区分文案。
-
-| 消费方 | Box 可用 | Box 不可用(disabled 或 failed) |
-|---|---|---|
-| native exec/read/write/edit/glob/grep 工具 | 暴露给 LLM | **不暴露** |
-| `activate` / `register_skill` 工具 | 暴露给 LLM | **不暴露** |
-| stdio MCP server | 在 Box 内启动 | **`_init_stdio_python_server` 抛 RuntimeError** 拒绝;不退化到宿主 stdio |
-| http/sse MCP server | 正常 | 正常(不依赖 Box) |
-| Skill 列表/读取 (`list_skills`/`get_skill`/`read_skill_file`) | 走 Box runtime | 走 LangBot 本地 `data/skills/` 只读 fallback |
-| Skill 创建/编辑/安装/写文件 | 走 Box runtime | **HTTP 400** + 明确错误信息(`_require_box_for_write`) |
-| Pipeline AI 配置中 `box-session-id-template` | 正常生效 | **前端 banner** 提示字段无效 |
-| Pipeline 扩展页 `enable_all_skills` / 绑定 skill | 可编辑 | **前端禁用** + banner |
-| 仪表盘 Box 状态卡片 | 绿点 / "已连接" | 灰点 / "已禁用"(disabled) 或 红点 / "已断开"(failed) |
-
-> 后端拒写的边界条件:如果 `ap.box_service` **完全没装**(老式 dev mode,没经过 BuildAppStage),`_require_box_for_write` 视作 no-op,保留 `data/skills/` 本地路径——以兼容历史测试与最小化设置。生产环境总会装 `ap.box_service`,因此该 fallback 不会被触发。
-
-### Pipeline 配置 (templates/metadata/pipeline/ai.yaml)
-
-`local-agent.config.box-session-id-template` 控制 session 作用域，预设：
-
-- `{launcher_type}_{launcher_id}` — 每个会话 (推荐，默认)
-- `{launcher_type}_{launcher_id}_{sender_id}` — 群聊每个用户
-- `{launcher_type}_{launcher_id}_{conversation_id}` — 每个对话上下文
-- `{query_id}` — 每条消息（完全隔离）
-
-详见 [box-session-scope.md](./box-session-scope.md)。
-
-### REST API
-
-| 端点 | 方法 | 说明 | 前端 |
-|------|------|------|:---:|
-| `/api/v1/box/status` | GET | 可用性、Profile、后端信息 | ✅ 监控页 |
-| `/api/v1/box/sessions` | GET | 活跃 session 列表 | ❌ |
-| `/api/v1/box/errors` | GET | 最近 50 条错误 | ❌ |
-| `/api/v1/skills` 等 | GET/POST/PUT/DELETE | Skill CRUD、文件浏览、zip/GitHub 安装、preview | ✅ Skill 管理页 |
-
-前端 `web/src/app/home/monitoring/components/overview-cards/SystemStatusCards.tsx` 已接入 `/api/v1/box/status`，展示 backend 名称、profile 与活跃 session 数。Sessions 与 errors API 仍未接入。

docs/review/box-issues.md

@@ -1,76 +0,0 @@
-# Box 系统 — SaaS 发布前阻塞项
-
-> 更新日期: 2026-06-02
-> 分支: `feat/sandbox` (LangBot + langbot-plugin-sdk)
-> 相关文档: [架构分析](./box-architecture.md) | [Session 作用域](./box-session-scope.md) | [Runtime 对比](./box-vs-plugin-runtime.md) | [测试覆盖](./box-test-coverage.md) | [toB 分析](./box-tob-analysis.md)
-
-## 范围说明
-
-**自部署社区版已具备发布条件**：默认 stdio 模式、box 为可选项；box 关闭 / 不可用时后端、前端、工具、skill、stdio-MCP 均能干净降级（清晰报错、不崩溃）；配置向后兼容（旧 `data/config.yaml` 可直接启动）；无新增 ORM 模型、无迁移欠债；市场安装失败不会破坏实例。CI 全绿。
-
-本清单**只保留发布 SaaS / 多租户 / 公网暴露前必须处理的阻塞项**。社区版（可信、单运营者、内网）不受这些项阻塞——它们的风险面在"不可信调用方能直接触达 Box 控制面"或"多租户共享资源"的场景才成立。
-
-## 已解决（社区版发布前）
-
-| 项 | 处理 |
-|----|------|
-| 工具调用循环无上限 (原 #13) | `localagent.py` 增加 `MAX_TOOL_CALL_ROUNDS=128`，超限优雅终止（`cafef1a3`） |
-| 配额校验同步遍历阻塞事件循环 (原 #10) | `_enforce_workspace_quota` 改 async，工作区遍历走 `asyncio.to_thread`（`cafef1a3`） |
-| `host_path` 挂载白名单 (原 #3 的 LangBot 侧) | `pkg/box/service.py` `allowed_mount_roots` 白名单，空列表时拒绝一切宿主挂载 |
-| 重复的 `_is_path_under` (原 #12) | 已去重，仅保留一处定义 |
-| 重连 / 心跳 / Windows 兼容 / nsjail image 字段 / 前端 Box 状态接入 | 见上一轮 review 记录，均已合入 |
-
----
-
-## SaaS 阻塞项
-
-### S1. Box 控制面无认证 — Critical
-
-- **位置**: SDK `box/server.py` — Action RPC WS (`/rpc/ws`) 与 managed-process relay (`/v1/sessions/{id}/managed-process/{pid}/ws`)
-- **现状**: 两个 WS handler 在 `ws.prepare` 后直接服务，无任何 token / 鉴权；box 默认绑定 `0.0.0.0:5410`。任何能触达该端口者可发起 `EXEC`、创建 session、attach 任意 session 的 managed-process stdin/stdout、甚至 `SHUTDOWN`。LangBot→box 的 INIT 也未下发任何凭证。
-- **缓解现状**: 默认 `docker-compose.yaml` 的 `langbot_box` 未把 5410 发布到宿主（爆炸半径限于内网 bridge）；但 box 挂载了 `/var/run/docker.sock`，同网络的任意服务（含被攻破的插件）→ 宿主 root。若运营者把 5410 发布到宿主或独立以 `0.0.0.0` 起 box，则完全裸奔。
-- **要求**: INIT 时下发 token，两个 WS 路由按连接校验（query/header）。这是 SaaS 的**头号**阻塞项。
-
-### S2. 无 exec 授权模型（policy.py 死代码） — High
-
-- **位置**: LangBot `pkg/box/policy.py`（`SandboxPolicy` / `ToolPolicy` / `ElevatedPolicy` 全项目无引用）；`pkg/provider/tools/loaders/native.py`；`pkg/provider/tools/toolmgr.py`
-- **现状**: 原生工具（`exec/read/write/edit/glob/grep`）按"box 是否可用"全有或全无地暴露，**无 per-pipeline 的 exec 网关 / 工具白名单 / 沙箱模式 / 权限提升控制**。只要 box 可用，任何使用 local-agent + 函数调用模型的 pipeline 都能跑任意 shell。
-- **要求**: 接入 policy.py（或等价机制），按 pipeline 控制是否暴露 `exec`、可用工具白名单、沙箱网络/只读模式。
-
-### S3. 会话资源无界（DoS） — High
-
-- **#5 session 数量无上限**: SDK `box/runtime.py` `_get_or_create_session` 的 `_sessions` dict 无容量限制——可变 `session_id` 的恶意调用可无限创建容器，耗尽宿主 CPU/内存/PID/磁盘。
-- **#8 无定时回收**: 过期 session 仅在 `_get_or_create_session` 时机会性清理，无独立周期任务；一波创建后转静默会永久泄漏容器。
-- **要求**: `max_sessions` 上限（拒绝或 LRU），加独立周期 reaper（如 60s）。
-
-### S4. 工作区配额无内核级限制（TOCTOU） — Med-High
-
-- **位置**: LangBot `pkg/box/service.py` `_enforce_workspace_quota`（应用层 read-then-check）；SDK 侧 `workspace_quota_mb` 仅记录/透传，无 `--storage-opt size=` 等内核/FS 限额
-- **现状**: 执行前后两次检查之间存在竞态窗口；单条命令（`dd`/`fallocate`）可在检查间隙撑爆磁盘，事后检查只能补救。
-- **要求**: Docker `--storage-opt size=` 做内核级限制，或 Redis 原子计数预留式配额。
-
-### S5. 挂载校验缺口 — Med-High
-
-- **位置**: SDK `box/security.py` `_BLOCKED_HOST_PATHS_POSIX`；`box/backend.py` 的 `extra_mounts` 处理
-- **现状**: ① SDK 黑名单仍不含 `/`（前缀匹配，`host_path="/"` 可通过，挂载整个宿主 fs）；用户 home、`/usr`、`/opt`、`/tmp` 也未拦截。② `validate_sandbox_security` 只校验 `spec.host_path`，**从不遍历 `spec.extra_mounts`**——LangBot 侧 `allowed_mount_roots` 也只校验 `host_path`。当前 `extra_mounts` 仅由 `build_skill_extra_mounts` 内部填充（agent 不可达），但缺乏纵深防御：一旦 S1 的无认证 RPC 被触达，extra_mounts 可挂任意宿主路径，两层都不拦。
-- **要求**: SDK 黑名单加入 `/`（或改白名单）；`extra_mounts` 在 SDK 与 LangBot 两侧都纳入挂载校验。
-
-### S6. 容器加固缺失 — Med
-
-- **位置**: SDK `box/backend.py` 的 `docker run` 组装
-- **现状**: 未设置 `--cap-drop=ALL`、`--security-opt=no-new-privileges`、非 root `--user`；叠加挂载 docker.sock，逃逸面偏大。
-- **要求**: 默认加上上述加固 flag（需回归常用 skill 不被破坏）。
-
-### S7. 全局锁内执行慢操作（扩展性） — Med
-
-- **位置**: SDK `box/runtime.py` `_get_or_create_session`：`self._lock` 持有期间调用 `backend.start_session()`（`docker run` / nsjail 启动 / E2B `Sandbox.create`）
-- **影响**: 冷启动（镜像拉取数秒、E2B >1s）期间串行阻塞所有并发请求——多租户负载下整个 Box runtime 停顿。降级表现是延迟而非失败。
-- **要求**: 锁内只做状态检查与注册，容器创建移到锁外。
-
-### S8. 其他硬化 / 跟进 — Low
-
-- **#9** SDK `box/server.py` 直接读 `runtime._sessions` 私有字段、绕过锁，并发下可能读到不一致状态——应加公共访问方法。
-- **#16** `pkg/provider/tools/toolmgr.py` `execute_func_call` 按优先级分发，plugin/MCP 若有同名 `exec/read/write/...` 工具会被静默遮蔽——应加命名空间或冲突告警。
-- **#4** SDK `box/runtime.py` INIT/handshake 与 backend 实例化的残留竞态（仅"纯远程 WS box 先启动、LangBot 后连"场景成立；stdio/compose 路径下 config 经 env 在 spawn 时已就位，无竞态）——应在 INIT 完成前拒绝业务 action。
-- **#11** `extra_mounts` 在容器创建时固定（SDK `runtime.py` 兼容性检查不含 extra_mounts）；长生命周期共享 session 后续新激活的 skill 不会挂上（当前缓解：创建时挂上 pipeline 绑定的全部 skill）——动态绑定场景需销毁重建或文档说明。
-- **#21** 集成测试未进 CI：容器实际执行、E2B 真机、managed-process WS attach 仅本地可跑。安全关键路径缺自动化覆盖——SaaS 前建议加 Docker-in-Docker CI stage 或合并前手动 checklist。

docs/review/box-session-scope.md

@@ -1,402 +0,0 @@
-# Box Session Scope Design
-
-> Date: 2026-04-18 (last reviewed 2026-06-02)
-> Status (2026-06-02): the self-hosted community edition is release-ready (box optional, clean degradation, no migration debt). Tool-call loop cap, async quota scan, and the host_path mount allowlist have landed. Remaining multi-tenant / security hardening is tracked in [box-issues.md](./box-issues.md).
-> Branch: `feat/sandbox` (LangBot + langbot-plugin-sdk)
-> Related: [Box Architecture](./box-architecture.md) | [Box vs Plugin Runtime](./box-vs-plugin-runtime.md)
-
----
-
-## 0. Implementation Status (2026-05-19)
-
-This document was authored as a design proposal. The current `feat/sandbox` branch
-has shipped the design largely as written:
-
-| Item | Status | Notes |
-|------|--------|-------|
-| `BoxMountSpec` + `BoxSpec.extra_mounts` | ✅ Shipped | SDK `box/models.py` |
-| Docker / nsjail / E2B backends apply extra mounts | ✅ Shipped | Last gap closed by SDK commit `0fea9b1` (E2B) |
-| `box-session-id-template` in `local-agent` pipeline config | ✅ Shipped | `templates/metadata/pipeline/ai.yaml`, default `{launcher_type}_{launcher_id}` |
-| `BoxService.resolve_box_session_id(query)` | ✅ Shipped | `pkg/box/service.py:166` |
-| `BoxService.build_skill_extra_mounts(query)` | ✅ Shipped | `pkg/box/service.py:189` |
-| Skill exec uses unified container + extra mounts | ✅ Shipped | `pkg/provider/tools/loaders/native.py` skill branch |
-| MCP-in-Box uses shared persistent session, multi-process | ✅ Shipped (earlier than originally scoped) | SDK commit `529088e`, LangBot `mcp_stdio.py:_build_box_session_id` |
-| `BoxManagedProcessSpec.process_id` + multi-process per session | ✅ Shipped | `BoxRuntime` keeps `managed_processes: dict[pid, _ManagedProcess]` |
-| Per-tenant / quota integration with templates | ❌ Not started | See [box-tob-analysis.md](./box-tob-analysis.md) |
-
-The "Phase 2 deferred" note in §10 is **out of date** — MCP unification went in on
-the same line. Pipeline-scoped (not user-scoped) MCP container is the realized
-behavior: each pipeline's MCP servers share one `mcp-<pipeline>` session, and
-user exec sessions use the template-derived id.
-
-The remaining open work is multi-tenant overlays (tenant_id in session_id,
-quota counters keyed by tenant), tracked in the toB analysis doc rather than here.
-
----
-
-## 1. Problems
-
-### 1.1 Default exec: per-message containers
-
-Currently, `BoxService.execute_tool()` sets `session_id = str(query.query_id)` — an
-auto-incrementing integer per incoming message. Every user message creates a new sandbox
-container. Dependencies installed and in-container state are lost between messages.
-
-### 1.2 Three isolated container pools
-
-Default exec, skills, and MCP servers each manage their own containers with
-independent session IDs:
-
-| Path         | Session ID                                    | Container   |
-|--------------|-----------------------------------------------|-------------|
-| Default exec | `str(query_id)` (per message)                 | Ephemeral   |
-| Skill exec   | `skill-{launcher}_{id}-{skill_name}`          | Per skill   |
-| MCP stdio    | `mcp-{server_uuid}`                           | Per server  |
-
-This means a single logical user interaction can spawn 3+ containers that cannot
-share state, see each other's files, or reuse installed dependencies.
-
-### 1.3 Single bind mount limitation
-
-`BoxSpec` currently supports only **one** `host_path` → `mount_path` bind mount.
-This prevents mounting both a default workspace and skill directories into the
-same container.
-
----
-
-## 2. Concept Model
-
-```
-Platform Message
-  → Query (query_id: int, auto-increment, per message)
-    → Session (launcher_type + launcher_id, per chat window)
-      → Conversation (uuid, per dialogue context within a Session)
-```
-
-| Concept       | Key                                 | Example                    | Scope                        |
-|---------------|-------------------------------------|----------------------------|------------------------------|
-| Query         | `query_id`                          | `42`                       | Single message               |
-| Session       | `launcher_type` + `launcher_id`     | `group_123456`             | Chat window (group or PM)    |
-| Conversation  | `conversation_id` (UUID)            | `a1b2c3d4-...`             | Dialogue context within a Session |
-| Sender        | `sender_id`                         | `789`                      | Individual user              |
-
-Note: in a **group chat**, all users share the same Session (keyed by `group_id`). The
-individual sender is tracked as `sender_id` but does not affect Session/Conversation routing.
-
----
-
-## 3. Target Scenarios
-
-| #  | Scenario                       | Box Granularity                          | Desired `session_id`                                   |
-|----|--------------------------------|------------------------------------------|---------------------------------------------------------|
-| 1  | Personal assistant             | 1 Box per user, long-lived               | `{launcher_type}_{launcher_id}`                          |
-| 2  | Customer service               | 1 Box per customer, cross-pipeline       | `{launcher_type}_{launcher_id}`                          |
-| 3  | Internal employee tool         | 1 Box per employee                       | `{launcher_type}_{launcher_id}`                          |
-| 4  | Group chat shared assistant    | 1 Box per group                          | `{launcher_type}_{launcher_id}`                          |
-| 5  | Group chat isolated per user   | 1 Box per user within a group            | `{launcher_type}_{launcher_id}_{sender_id}`              |
-| 6  | Teaching (cross-channel)       | 1 Box per student across groups/PMs      | `{sender_id}`                                           |
-| 7  | One-off execution              | 1 Box per message (current behavior)     | `{query_id}`                                            |
-| 8  | Multi-project development      | 1 Box per conversation context           | `{launcher_type}_{launcher_id}_{conversation_id}`        |
-
-No single fixed granularity covers all scenarios. A template-based approach is needed.
-
----
-
-## 4. Design Overview
-
-Two key changes:
-
-1. **Unified container**: exec, skills, and MCP all share the same container per
-   session scope. No more separate container pools.
-2. **Configurable session scope**: `session_id` is generated from a template with
-   pipeline variables, configurable per pipeline.
-
-### 4.1 Unified Container with Multiple Mounts
-
-A single container per session scope is created on first use. It has:
-
-- **Primary mount**: default workspace at `/workspace` (from `default_host_workspace`)
-- **Skill mounts**: each pipeline-bound skill's `package_root` mounted at
-  `/workspace/.skills/{skill_name}/`
-- **MCP servers**: run as managed processes inside the same container
-
-```
-Container (session_id = "group_123456")
-  /workspace/                          ← default workspace (bind mount, rw)
-  /workspace/.skills/web-search/       ← skill package (bind mount, rw)
-  /workspace/.skills/data-analysis/    ← skill package (bind mount, rw)
-  [managed process: mcp-server-a]      ← MCP server running inside
-  [managed process: mcp-server-b]      ← MCP server running inside
-```
-
-This requires extending `BoxSpec` to support multiple mounts (see §5).
-
-### 4.2 Session ID Template
-
-A new field `box-session-id-template` in the `local-agent` pipeline runner config
-controls the session scope:
-
-```yaml
-# templates/metadata/pipeline/ai.yaml (under local-agent.config)
-- name: box-session-id-template
-  label:
-    en_US: Sandbox Scope
-    zh_Hans: 沙箱作用域
-  description:
-    en_US: >-
-      Determines how sandbox environments are shared. Use variables to
-      control isolation granularity.
-    zh_Hans: >-
-      决定沙箱环境的共享方式。使用变量控制隔离粒度。
-  type: select
-  required: false
-  default: "{launcher_type}_{launcher_id}"
-  options:
-    - value: "{launcher_type}_{launcher_id}"
-      label:
-        en_US: Per chat (Recommended)
-        zh_Hans: 每个会话（推荐）
-    - value: "{launcher_type}_{launcher_id}_{sender_id}"
-      label:
-        en_US: Per user in chat
-        zh_Hans: 会话中每个用户
-    - value: "{launcher_type}_{launcher_id}_{conversation_id}"
-      label:
-        en_US: Per conversation context
-        zh_Hans: 每个对话上下文
-    - value: "{query_id}"
-      label:
-        en_US: Per message (isolated)
-        zh_Hans: 每条消息（完全隔离）
-```
-
-Available template variables (populated by PreProcessor in `query.variables`):
-
-| Variable            | Source                          | Example              |
-|---------------------|---------------------------------|----------------------|
-| `{launcher_type}`   | `query.session.launcher_type`   | `person` / `group`   |
-| `{launcher_id}`     | `query.session.launcher_id`     | `123456`             |
-| `{sender_id}`       | `query.sender_id`               | `789`                |
-| `{conversation_id}` | `conversation.uuid`             | `a1b2c3d4-...`       |
-| `{query_id}`        | `query.query_id`                | `42`                 |
-
-Default `{launcher_type}_{launcher_id}` covers scenarios 1–4 out of the box.
-
----
-
-## 5. SDK Changes: Multi-Mount BoxSpec
-
-### 5.1 Model Extension
-
-```python
-# box/models.py
-
-class BoxMountSpec(pydantic.BaseModel):
-    """A single bind mount specification."""
-    host_path: str
-    mount_path: str
-    mode: BoxHostMountMode = BoxHostMountMode.READ_WRITE
-
-class BoxSpec(pydantic.BaseModel):
-    # ... existing fields ...
-    host_path: str | None = None              # Primary mount (backward compat)
-    host_path_mode: BoxHostMountMode = BoxHostMountMode.READ_WRITE
-    mount_path: str = DEFAULT_BOX_MOUNT_PATH
-    extra_mounts: list[BoxMountSpec] = []     # NEW: additional mounts
-```
-
-`extra_mounts` is additive — the existing `host_path` / `mount_path` pair remains
-the primary mount for backward compatibility.
-
-### 5.2 Backend: Apply Extra Mounts
-
-```python
-# box/backend.py — CLISandboxBackend.start_session()
-
-# Primary mount (unchanged)
-if spec.host_path is not None and spec.host_path_mode != BoxHostMountMode.NONE:
-    args.extend(['-v', f'{spec.host_path}:{spec.mount_path}:{spec.host_path_mode.value}'])
-
-# Extra mounts (NEW)
-for mount in spec.extra_mounts:
-    if mount.mode != BoxHostMountMode.NONE:
-        args.extend(['-v', f'{mount.host_path}:{mount.mount_path}:{mount.mode.value}'])
-```
-
-Same pattern for nsjail backend.
-
----
-
-## 6. LangBot Changes
-
-### 6.1 Session ID Resolution
-
-In `BoxService.execute_tool()`:
-
-```python
-# Before:
-spec_payload.setdefault('session_id', str(query.query_id))
-
-# After:
-template = (query.pipeline_config or {}).get('ai', {}) \
-    .get('local-agent', {}).get('box-session-id-template',
-         '{launcher_type}_{launcher_id}')
-variables = query.variables or {}
-session_id = template.format_map(collections.defaultdict(
-    lambda: 'unknown', variables
-))
-spec_payload.setdefault('session_id', session_id)
-```
-
-### 6.2 Skill Exec: Use Same Container
-
-Currently `native.py:_invoke_exec` creates a separate `BoxWorkspaceSession` per
-skill with `host_path=package_root`. Instead:
-
-1. Use the **same session_id** as default exec (from the template).
-2. Pass the skill's `package_root` as an **extra mount** at
-   `/workspace/.skills/{skill_name}/` instead of replacing `/workspace`.
-3. The container already has the default workspace at `/workspace`.
-
-```python
-# native.py — _invoke_exec, skill branch (REVISED)
-
-# Same session_id as default exec
-session_id = resolve_box_session_id(query)
-
-spec_payload = {
-    'cmd': rewritten_command,
-    'workdir': rewritten_workdir,
-    'session_id': session_id,
-    'extra_mounts': [{
-        'host_path': package_root,
-        'mount_path': f'/workspace/.skills/{selected_skill_name}',
-        'mode': 'rw',
-    }],
-}
-result = await self.ap.box_service.execute_spec_payload(spec_payload, query)
-```
-
-The virtual path `/workspace/.skills/{name}` no longer needs rewriting at the
-command level — it maps directly to the bind mount path inside the container.
-
-### 6.3 MCP: Use Same Container
-
-MCP servers should run inside the same container as exec and skills. Changes:
-
-1. `BoxStdioSessionRuntime` uses the pipeline's session_id template instead of
-   `mcp-{server_uuid}`.
-2. MCP server's working directory is a subdirectory (e.g. `/workspace/.mcp/{name}/`).
-3. MCP server's dependencies are mounted or installed into that subdirectory.
-4. The MCP server runs as a managed process inside the shared container.
-
-Since MCP servers start at LangBot boot (not per-query), the session must be
-created eagerly. The container will be kept alive by the managed process
-exemption in TTL reaping (`runtime.py:259`).
-
-**Note**: MCP sessions are pipeline-scoped (not per-launcher), so their session_id
-should be a **fixed identifier per pipeline** rather than the user-facing template.
-This means one shared MCP container per pipeline, with user exec sessions separate.
-
-Alternatively, in a future iteration, MCP managed processes could be launched
-lazily into the user's container on first MCP tool call. This is more complex
-but maximizes sharing. For V1, keeping MCP containers at pipeline scope is
-simpler and more predictable.
-
----
-
-## 7. Mount Layout Summary
-
-### Default exec (no skills activated)
-
-```
-Container (session_id from template)
-  /workspace/          ← default_host_workspace (rw)
-```
-
-### Exec with activated skills
-
-```
-Container (same session_id)
-  /workspace/                          ← default_host_workspace (rw)
-  /workspace/.skills/web-search/       ← skill package_root (rw)
-  /workspace/.skills/data-analysis/    ← skill package_root (rw)
-```
-
-Extra mounts are **additive** — they are added when the container is first
-created (or on the first exec that references a skill). Since Docker bind
-mounts are specified at container creation time, skills must be known at
-creation time.
-
-**Resolution**: When creating a container, inject `extra_mounts` for **all
-pipeline-bound skills** (from `extensions_preferences`), not just the
-currently activated one. This way any skill can be activated later without
-recreating the container.
-
-### MCP servers (V1: pipeline-scoped)
-
-```
-Container (session_id = "mcp-pipeline-{pipeline_uuid}")
-  /workspace/                    ← MCP shared workspace
-  /workspace/.mcp/server-a/      ← MCP server A files
-  /workspace/.mcp/server-b/      ← MCP server B files
-  [managed process: server-a]
-  [managed process: server-b]
-```
-
----
-
-## 8. Data Migration
-
-Existing pipelines do not have `box-session-id-template`. The backend uses
-`.get(..., default)` so missing keys fall back to `{launcher_type}_{launcher_id}`.
-This changes behavior from per-message to per-launcher for existing pipelines.
-
-Recommendation: **accept the behavior change** — per-launcher is the more
-intuitive default, and the old per-message behavior was rarely desired.
-
----
-
-## 9. Cloud Quota Implications
-
-| Scope                                         | Typical concurrent containers |
-|-----------------------------------------------|-------------------------------|
-| `{query_id}` (per message)                    | Many, short-lived             |
-| `{launcher_type}_{launcher_id}` (per chat)    | = active chat count           |
-| `{sender_id}` (per user)                      | = active user count           |
-| `{conversation_id}` (per conversation)        | Between per-chat and per-msg  |
-
-With the unified container model, each scope value maps to exactly **one**
-container (instead of potentially 3+ per-message). This significantly reduces
-resource usage.
-
-Quota enforcement point: `BoxRuntime._get_or_create_session()` in the SDK.
-
----
-
-## 10. Implementation Phases
-
-### Phase 1: Session scope + skill unification (this PR)
-
-1. **SDK**: Extend `BoxSpec` with `extra_mounts: list[BoxMountSpec]`.
-2. **SDK**: Update Docker/nsjail backends to apply extra mounts.
-3. **LangBot**: Add `box-session-id-template` to `local-agent` YAML metadata
-   and default pipeline config JSON.
-4. **LangBot**: Update `BoxService.execute_tool()` to use template interpolation.
-5. **LangBot**: Update `native.py:_invoke_exec` skill branch to use same
-   session_id + extra mounts instead of separate `BoxWorkspaceSession`.
-6. **LangBot**: On container creation, inject extra mounts for all
-   pipeline-bound skills.
-7. **Frontend**: No code change — `DynamicFormComponent` renders `select` fields.
-8. **Tests**: Unit tests for template interpolation and multi-mount specs.
-
-### Phase 2: MCP unification (future)
-
-1. Refactor `BoxStdioSessionRuntime` to use pipeline-scoped shared container.
-2. MCP servers become managed processes in the shared container.
-3. Support multiple concurrent managed processes per container.
-
-MCP unification is deferred because it requires changes to the managed process
-model (currently 1 managed process per session) and has startup ordering
-concerns (MCP servers start at boot, before any user query determines
-a session_id).

docs/review/box-test-coverage.md

@@ -1,122 +0,0 @@
-# Box 系统测试覆盖分析
-
-> 更新日期: 2026-06-02
-> 状态更新: 自部署社区版已具备发布条件（box 可选、降级完善、无迁移欠债）；工具调用循环上限、配额遍历异步化、`host_path` 挂载白名单等已落地。剩余多租户 / 安全硬化项见 [SaaS 阻塞项清单](./box-issues.md)。
-> 分支: `feat/sandbox` (LangBot + langbot-plugin-sdk)
-
----
-
-## 1. 测试文件清单
-
-### LangBot 仓库
-
-| 文件 | 行数 | CI 运行 | 覆盖范围 |
-|------|------|---------|---------|
-| `tests/unit_tests/box/test_box_connector.py` | 106 | 是 | Connector 传输决策、WS relay URL、dispose、心跳/重连 |
-| `tests/unit_tests/box/test_box_service.py` | 1224 | 是 | Service 核心逻辑（最全面） |
-| `tests/unit_tests/box/test_workspace.py` | 147 | 是 | WorkspaceSession 路径重写、payload 构建 |
-| `tests/unit_tests/provider/test_mcp_box_integration.py` | 707 | 是 | MCP Box 配置、路径重写、payload、shared-session/multi-process、runtime info |
-| `tests/unit_tests/provider/test_localagent_sandbox_exec.py` | 444 | 是 | LocalAgent exec 流程、流式、Skill 激活 (Tool Call) |
-| `tests/unit_tests/provider/test_tool_manager_native.py` | 249 | 是 | ToolManager 路由、native tool CRUD、路径穿越、6 工具暴露 |
-| `tests/unit_tests/provider/test_skill_tools.py` | 582 | 是 | Skill 管理、Tool Call 激活、路径、authoring CRUD |
-| `tests/unit_tests/test_skill_service.py` | 396 | 是 | HTTP service：skill CRUD、zip/GitHub install、文件浏览 |
-| `tests/unit_tests/test_paths.py` | 23 | 是 | paths 工具 |
-| `tests/unit_tests/test_preproc.py` | 134 | 是 | PreProcessor 注入 session 变量、bound skill 解析 |
-| `tests/unit_tests/pipeline/test_chat_handler_logging.py` | 78 | 是 | Chat handler 日志相关回归 |
-| `tests/integration_tests/box/test_box_integration.py` | 329 | **否** | 真实容器执行、超时、网络隔离 |
-| `tests/integration_tests/box/test_box_mcp_integration.py` | 368 | **否** | Managed process、WS attach、shared-session 清理 |
-
-### SDK 仓库
-
-| 文件 | 行数 | CI 运行 | 覆盖范围 |
-|------|------|---------|---------|
-| `tests/box/test_backend_selection.py` | 255 | 是 | 显式 backend / local 模式探测顺序 / 配置变更触发 reselect |
-| `tests/box/test_nsjail_backend.py` | 452 | 是 | nsjail 可用性、安装版 CLI vs 容器内 CLI、session、arg 构建、资源限制 |
-| `tests/box/test_e2b_backend.py` | 482 | 是 | E2B SDK mock、session 生命周期、extra_mounts 同步 |
-| `tests/box/test_skill_store.py` | 88 | 是 | zip preview/install、基础 file CRUD |
-
-**总计**: 17 个测试文件, ~6,500 行测试代码; 其中 2 个集成测试（约 700 行）在 CI 中不运行。
-
-> 较 2026-04-16 版增加：`test_skill_service.py`、`test_paths.py`、`test_preproc.py`、`test_chat_handler_logging.py` (LangBot)，`test_backend_selection.py`、`test_e2b_backend.py`、`test_skill_store.py` (SDK)。`test_nsjail_backend.py` 增加 CLI 兼容性 case (commit `feed530`)。
-
----
-
-## 2. 覆盖良好的区域
-
-| 区域 | 质量 | 说明 |
-|------|------|------|
-| BoxRuntime session 管理 | 优秀 | session 复用、冲突检测、TTL 配置、消失 session 重建 |
-| BoxService Profile 系统 | 优秀 | 4 个内置 Profile、locked/unlocked 字段、timeout clamp |
-| BoxService host mount 安全 | 优秀 | allowed_mount_roots、disallowed_roots、shared host root |
-| BoxService workspace quota | 优秀 | 前置/后置配额检查、超额清理 |
-| BoxService 输出截断 | 优秀 | 短/精确边界/长输出、独立 stderr |
-| BoxService 可观测性 | 优秀 | 状态报告、error ring buffer、buffer 上限 |
-| BoxService session 模板 | 良好 | `resolve_box_session_id` + `build_skill_extra_mounts` 在 service / native / mcp 三处都有覆盖 |
-| RPC client/server 协议 | 优秀 | execute/get_sessions/delete/create/conflict error |
-| BoxRuntimeConnector | 良好 | local/remote 模式、Docker 平台、relay URL、心跳与重连回调 |
-| BoxWorkspaceSession | 良好 | payload 构建、managed process 路径重写、stage host file |
-| BoxHostMountMode.NONE | 良好 | 枚举校验、workdir 约束 |
-| NsjailBackend | 良好 | 可用性、安装版 vs 容器内、session 生命周期、arg 构建、资源限制 |
-| E2BBackend | 良好 | mock SDK、session/extra_mounts 同步 |
-| Backend selection | 良好 | 显式 backend 优先级、local 探测顺序、配置变更触发 reselect |
-| MCP Box 集成 | 良好 | config model、路径重写、payload、shared-session 多 process |
-| Native tool loader | 良好 | 6 工具（exec/read/write/edit/glob/grep）、路径穿越拦截 |
-| LocalAgent exec 流程 | 良好 | 完整 tool call 循环、流式、system prompt 注入、Tool Call 激活 |
-| Skill 系统 | 良好 | 加载、Tool Call 激活、marker、路径解析、authoring CRUD、HTTP service |
-
----
-
-## 3. 覆盖缺失的区域
-
-### 3.1 零测试 / 严重不足
-
-| 区域 | 源文件 | 影响 |
-|------|--------|------|
-| **`security.py`** | SDK `box/security.py` (52 行) | `validate_sandbox_security()` 无任何测试。阻止 `/etc`/`/proc`/Docker socket 等危险挂载的安全函数从未被验证 |
-| **`policy.py`** | `pkg/box/policy.py` (98 行) | 三层安全策略无测试（也是死代码） |
-| **`skill_store.py` 边缘场景** | SDK `box/skill_store.py` (647 行) vs 测试 88 行 | GitHub 安装路径、`source_subdir` / `target_suffix` 组合、损坏 zip、文件冲突等场景未覆盖 |
-
-### 3.2 未测试的关键路径
-
-| 区域 | 说明 |
-|------|------|
-| **Session TTL 过期** | 测试配置了 `session_ttl_sec` 但从未推进时间验证过期清理 |
-| **并发 session 访问** | 无并发 exec / 并发创建 / race condition 测试 |
-| **Container backend (Docker)** | 仅通过集成测试覆盖（CI 不运行），单元测试全用 FakeBackend |
-| **E2B 真实 sandbox** | 单测全是 mock，未对接真实 E2B API |
-| **BoxRuntime shutdown()** | 在 test cleanup 中调用但未验证行为 |
-| **BoxServerHandler 错误路径** | 畸形请求、未知 action 类型 |
-| **WS relay** | 仅在集成测试中覆盖（CI 不运行） |
-| **NsjailBackend managed process** | 完全未测试 |
-| **MCP stdio 完整生命周期** | 依赖安装 → 进程启动 → 健康检查 → 多 process 并发 → 重试 |
-| **BoxService start/stop_managed_process** | 单 process 流转有单测，多 process 互不阻塞主要靠集成测试 |
-| **重连指数退避** | connector 单测覆盖回调接线，未实际跑完整重连周期 |
-
-### 3.3 边缘情况缺失
-
-| 区域 | 说明 |
-|------|------|
-| BoxSpec 校验 | 无效 session_id 格式、超长命令、env 特殊字符 |
-| BoxSpec.extra_mounts | 重复 mount_path、与 host_path 冲突、绝对 vs 相对路径 |
-| BoxExecutionResult | 仅 COMPLETED 和 TIMED_OUT，无 ERROR 状态测试 |
-| 多后端 fallback | local 模式探测顺序仅靠 mock，无真实 Docker 不可用 → nsjail 真机 fallback 测试 |
-| Profile YAML 加载 | 测试用硬编码字符串，未从真实 config.yaml 加载 |
-| INIT 配置变更触发 backend 重建 | 单测仅在初始化场景验证 |
-
----
-
-## 4. 集成测试 vs CI 的差距
-
-CI 仅运行 `tests/unit_tests/`，以下场景**从未在自动化中验证**:
-
-- 真实容器的创建/执行/销毁
-- 容器网络隔离（`--network none`）
-- 容器资源限制生效（cpus/memory/pids_limit）
-- Managed process 的 WS 双向 I/O
-- 多 process 同 session 并发 I/O
-- 孤儿容器清理
-- Session 删除清理容器
-- 进程退出检测
-- E2B 真实 sandbox 行为
-
-**建议**: 在 CI 中加一个可选的 Docker-in-Docker 集成测试 stage，至少覆盖核心执行路径（exec / MCP attach / session 销毁）。

docs/review/box-tob-analysis.md

@@ -1,167 +0,0 @@
-# Box 系统 toB 商业化分析
-
-> 更新日期: 2026-06-02
-> 状态更新: 自部署社区版已具备发布条件（box 可选、降级完善、无迁移欠债）；工具调用循环上限、配额遍历异步化、`host_path` 挂载白名单等已落地。剩余多租户 / 安全硬化项见 [SaaS 阻塞项清单](./box-issues.md)。
-> 分支: `feat/sandbox` (LangBot + langbot-plugin-sdk)
-
----
-
-## 1. 现有优势
-
-| 能力 | toB 价值 | 代码位置 |
-|------|---------|---------|
-| **沙箱隔离执行** | 企业安全运行不受信代码的基础能力 | SDK `box/backend.py` |
-| **多后端支持** | 适配不同企业容器基础设施 (Podman/Docker/nsjail/E2B) | SDK `box/runtime.py` `_select_backend()` |
-| **E2B 云沙箱** | SaaS / 无 Docker 部署的兜底执行环境 | SDK `box/e2b_backend.py` |
-| **连接自愈** | 心跳 + 自动重连，单点 Box runtime 故障可恢复 | `pkg/box/connector.py` `_heartbeat_loop`, `pkg/box/service.py` `_reconnect_loop` |
-| **Profile + locked 字段** | 运维锁定安全边界，LLM/用户无法绕过 | `pkg/box/service.py`, SDK `box/models.py` |
-| **资源限制** | CPU/内存/PID 数限制防止资源滥用 | SDK `backend.py` `--cpus/--memory/--pids-limit` |
-| **Workspace quota** | 磁盘用量控制 | `pkg/box/service.py` `_enforce_workspace_quota` |
-| **静默降级** | Box 不可用不影响其他功能，降低部署门槛 | `pkg/box/service.py:78` `_available=False` |
-| **孤儿容器清理** | 防止泄漏的容器持续占用资源 | SDK `backend.py` `cleanup_orphaned_containers` |
-| **网络隔离** | `--network none` 防止数据外泄 | SDK `backend.py` start_session |
-| **只读根文件系统** | `--read-only` 防止容器被持久篡改 | SDK `backend.py` start_session |
-| **Host path 白名单** | `allowed_host_mount_roots` 限制可挂载目录 | `pkg/box/service.py` `_validate_host_mount` |
-
----
-
-## 2. toB 差距分析
-
-### 2.1 安全与合规
-
-| 维度 | 现状 | toB 要求 | 优先级 |
-|------|------|---------|--------|
-| **WS relay 认证** | 无认证，任何人可 attach | 至少 token 认证 | **P0** |
-| **安全策略** | policy.py 是死代码，实际无细粒度控制 | 工具级 allow/deny、沙箱模式控制 | **P0** |
-| **审计日志** | 仅内存中 50 条 `_recent_errors` | 持久化审计：谁何时执行了什么、结果如何 | **P0** |
-| **Host path 校验** | 黑名单策略，`/` 未拦截 | 白名单策略，默认拒绝 | **P1** |
-| **数据驻留** | 无控制 | GDPR / 等保要求的数据隔离 | **P2** |
-
-### 2.2 多租户
-
-| 维度 | 现状 | toB 要求 | 优先级 |
-|------|------|---------|--------|
-| **租户隔离** | 无租户概念 | BoxSpec/Profile 绑定 tenant_id | **P0** |
-| **RBAC** | 仅 token 认证 | admin/operator/viewer 角色权限 | **P0** |
-| **资源配额** | 单一 workspace quota | 每租户 CPU 时间/内存/并发/执行次数配额 | **P1** |
-| **Session 隔离** | 所有 session 共享 dict | 按租户分区，互不可见 | **P1** |
-
-### 2.3 可靠性
-
-| 维度 | 现状 | toB 要求 | 优先级 |
-|------|------|---------|--------|
-| **连接恢复** | 已实现：20s 心跳 + `_reconnect_loop` 指数退避 | 已满足基本要求 | 已有 |
-| **Session 清理** | 机会性（仅新建时触发） | 定时清理 + 独立 reaper | **P1** |
-| **水平扩展** | 单 Box Runtime 实例 | 多实例负载均衡（按 tenant 路由） | **P1** |
-| **优雅降级** | 已有（_available=False） | 已满足基本要求 | 已有 |
-| **Backend 自愈** | 已实现：`get_status` 时若 backend 不可用会重新选择 | 已满足基本要求 | 已有 |
-
-### 2.4 可观测性
-
-| 维度 | 现状 | toB 要求 | 优先级 |
-|------|------|---------|--------|
-| **监控指标** | 无 Prometheus metrics | session 数/执行延迟/资源用量/错误率 | **P1** |
-| **结构化日志** | Python logging, 无结构化 | JSON 格式日志，含 trace_id/tenant_id | **P1** |
-| **前端面板** | 监控页接入 `/api/v1/box/status`（backend 名 + 活跃 session 数）；`sessions` / `errors` 仍未接入 | 完整状态面板 + 历史错误/审计列表 | **P2** |
-
----
-
-## 3. SaaS 部署架构建议
-
-### 3.1 方案 A: 共享 Box Runtime Pool (快速上线)
-
-```
-LangBot Instance ──> Box Runtime (共享)
-                       ├─ tenant_id 标签隔离
-                       ├─ Redis 配额计数器
-                       └─ Container labels: langbot.tenant_id=xxx
-```
-
-- **优点**: 改动最小，加 tenant_id 到 BoxSpec/labels 即可
-- **缺点**: 容器引擎共享，安全隔离弱
-
-### 3.2 方案 B: 每租户 K8s Namespace + gVisor (推荐中期)
-
-```
-LangBot ──> K8s API
-              ├─ namespace: tenant-xxx
-              │    ├─ RuntimeClass: gVisor (runsc)
-              │    ├─ ResourceQuota
-              │    └─ NetworkPolicy
-              └─ namespace: tenant-yyy
-                   └─ ...
-```
-
-- **优点**: 强隔离（namespace + gVisor），原生 K8s 配额
-- **缺点**: 需要重写 backend 为 K8s Job，部署复杂度高
-
-### 3.3 方案 C: K8s Job 直接编排 (长期)
-
-```
-LangBot ──> K8s Job per execution
-              ├─ 每次执行创建 Job
-              ├─ Pod Security Standards
-              ├─ 自动调度和资源分配
-              └─ Job TTL Controller 自动清理
-```
-
-- **优点**: 最强隔离，天然水平扩展
-- **缺点**: 冷启动延迟，架构重写
-
-**推荐演进路径**: A → B → C
-
----
-
-## 4. 配额体系建议
-
-### 三层配额
-
-| 层 | 实现 | 作用 |
-|----|------|------|
-| **内核层** | Docker `--cpus`/`--memory`/`--storage-opt` | 硬性资源上限，不可绕过 |
-| **应用层** | Redis 原子计数器 | 并发 session 数/执行次数/CPU 时间预算 |
-| **计费层** | 月度聚合 | 按租户计费（session-hours/execution-count） |
-
-### Profile 与套餐映射
-
-| 套餐 | Profile | locked 字段 | 配额 |
-|------|---------|------------|------|
-| Free | `offline_readonly` | network, host_path_mode, rootfs | 10 exec/天, 0.5 CPU, 256MB |
-| Pro | `default` | (无) | 100 exec/天, 1 CPU, 512MB |
-| Enterprise | `network_extended` | (按需) | 无限, 2 CPU, 1GB, 自定义镜像 |
-
-### TOCTOU 配额修复
-
-当前 `_enforce_workspace_quota` 的 TOCTOU 问题可通过两种方式解决:
-
-1. **预留式配额** (应用层): Redis `INCRBY` 预扣额度 → 执行 → 成功则扣减，失败则回滚
-2. **内核级限制** (Docker): `--storage-opt size=500m` 直接限制容器可写层大小
-
----
-
-## 5. 优先实施路线
-
-### Phase 1 (2-4 周): 安全基线
-
-- [ ] WS relay 加 token 认证
-- [ ] 接入或删除 policy.py
-- [x] ~~Box 加重连和心跳~~（已完成，见 [box-issues.md 已解决](./box-issues.md)）
-- [ ] 审计日志持久化（至少写文件/数据库）
-- [ ] `security.py` 加 `/` 拦截，考虑白名单
-- [ ] INIT 与 backend 初始化顺序整理（避免 backend 在配置到达前实例化）
-
-### Phase 2 (4-8 周): 多租户基础
-
-- [ ] BoxSpec 加 `tenant_id` 字段
-- [ ] 容器 labels 加 tenant 标识
-- [ ] Redis 配额计数器（并发/执行次数/时间）
-- [ ] RBAC 基础框架
-- [ ] 定时 session reaper
-
-### Phase 3 (8-16 周): 生产就绪
-
-- [ ] Prometheus metrics exporter
-- [ ] 前端 Box 状态面板
-- [ ] K8s backend 支持 (方案 B)
-- [ ] 结构化日志 (JSON, trace_id)
-- [ ] 水平扩展支持

docs/review/box-vs-plugin-runtime.md

@@ -1,222 +0,0 @@
-# Box Runtime vs Plugin Runtime: 连接架构对比
-
-> 更新日期: 2026-06-02
-> 状态更新: 自部署社区版已具备发布条件（box 可选、降级完善、无迁移欠债）；工具调用循环上限、配额遍历异步化、`host_path` 挂载白名单等已落地。剩余多租户 / 安全硬化项见 [SaaS 阻塞项清单](./box-issues.md)。
-> 分支: `feat/sandbox` (LangBot + langbot-plugin-sdk)
-
----
-
-## 1. 总体差异
-
-| 维度 | Plugin Runtime | Box Runtime |
-|------|---------------|-------------|
-| **继承关系** | `PluginRuntimeConnector(ManagedRuntimeConnector)` | `BoxRuntimeConnector`（独立类） |
-| **传输分支** | 3 条 (Docker/WS, Win32/subprocess+WS, Unix/stdio) | 3 条 (本地 stdio, Win32/subprocess+WS, 远程 WS) |
-| **心跳** | 20s ping loop | 20s ping loop（`_heartbeat_loop`） |
-| **重连** | WS 模式: sleep 3s → re-initialize | 由 BoxService `_reconnect_loop` 处理，指数退避 |
-| **Handler 类型** | `RuntimeConnectionHandler` (1132 行, 25+ action) | 基础 `Handler` + `BoxServerHandler`（SDK 端 25 action） |
-| **Client 抽象** | Handler 即 API | 独立 `ActionRPCBoxClient` 封装 Handler |
-| **启用/禁用** | `is_enable_plugin` 开关 | 无开关（可用/不可用由初始化结果决定） |
-| **初始化失败** | 异常上抛 | 静默降级 `_available=False` |
-| **Shutdown** | 直接杀进程 | RPC SHUTDOWN → 清理容器 → 再杀进程 |
-
----
-
-## 2. 传输决策
-
-### Plugin: 3-路决策
-
-```python
-# pkg/plugin/connector.py:106-165
-if get_platform() == 'docker' or use_websocket_to_connect_plugin_runtime():
-    # Docker/WS → ws://langbot_plugin_runtime:5400/control/ws
-elif get_platform() == 'win32':
-    # Windows → 起子进程(无 pipe) + ws://localhost:5400/control/ws
-else:
-    # Unix/Mac → StdioClientController(python -m langbot_plugin.cli rt -s)
-```
-
-### Box: 3-路决策
-
-```python
-# pkg/box/connector.py
-if self._uses_websocket():
-    if platform.get_platform() == 'win32' and not self.configured_runtime_url:
-        await self._start_subprocess_then_ws()  # subprocess + ws://localhost:5410/rpc/ws
-    else:
-        await self._connect_remote_ws()         # ws://{host}:5410/rpc/ws
-else:
-    await self._start_local_stdio()             # StdioClientController
-```
-
-> 历史：2026-04-16 版本本文档曾把 Box 描述为 2 路决策（缺 Windows 分支）。现已对齐 Plugin 的 3 路设计。
-
-### 决策矩阵
-
-| 环境 | Plugin | Box |
-|------|--------|-----|
-| Docker | WS → `:5400` | WS → `:5410/rpc/ws` |
-| `--standalone-box` | N/A | WS → `localhost:5410/rpc/ws` |
-| Windows 非 Docker | subprocess + WS (`:5400`) | subprocess + WS (`localhost:5410/rpc/ws`) |
-| Unix/Mac 非 Docker | stdio | stdio |
-| 手动配置 URL | 通过配置项 | WS → 用户配置的 URL |
-
----
-
-## 3. 连接建立
-
-### 同步模式差异
-
-**Plugin**: `new_connection_callback` 内直接 ping + await handler_task，`initialize()` 通过 `create_task()` 异步启动，不阻塞等待连接。
-
-**Box**: 使用 `asyncio.Event` + `wait_for(timeout=30s)` 模式，`initialize()` 同步等待连接成功或超时。
-
-### Box stdio 路径
-
-```
-connector._start_local_stdio()
-  ├─ connected = asyncio.Event()
-  ├─ ctrl = StdioClientController(python, ['-m', 'langbot_plugin.cli.__init__', 'box', '-s', '--ws-control-port', N])
-  ├─ _ctrl_task = create_task(ctrl.run(callback))
-  │    callback:
-  │      handler = Handler(connection)          ← 基础 Handler, 无 disconnect_callback
-  │      client.set_handler(handler)
-  │      _handler_task = create_task(handler.run())
-  │      call_action(PING, {})                  ← 握手, timeout=15s
-  │      connected.set()                        ← 通知外层
-  │      await _handler_task                    ← 阻塞直到断开
-  └─ await wait_for(connected.wait(), 30s)      ← 同步等待
-```
-
-### Plugin stdio 路径
-
-```
-connector.initialize()
-  ├─ ctrl = StdioClientController(python, ['-m', 'langbot_plugin.cli', 'rt', '-s'])
-  ├─ task = ctrl.run(callback)
-  │    callback:
-  │      disconnect_callback:
-  │        [WS] → runtime_disconnect_callback → 重连
-  │        [stdio] → 仅日志, 不重连
-  │      handler = RuntimeConnectionHandler(conn, disconnect_cb, ap)
-  │      create_task(handler.run())
-  │      handler.ping()                         ← 握手, timeout=10s
-  │      await handler_task                     ← 阻塞直到断开
-  ├─ create_task(heartbeat_loop())              ← 20s ping loop
-  └─ create_task(task)                          ← 不等待连接
-```
-
----
-
-## 4. 心跳与重连
-
-### 心跳
-
-| 维度 | Plugin | Box |
-|------|--------|-----|
-| 有心跳? | 是 | 是（`connector.py` `_heartbeat_loop`） |
-| 间隔 | 20s | 20s |
-| 失败处理 | 仅 DEBUG 日志，不触发重连 | 仅 DEBUG 日志，依赖 connection close 触发重连 |
-| 生命周期 | 整个应用生命周期 | 连接建立后启动；`dispose()` 时 cancel |
-
-### 重连
-
-| 维度 | Plugin | Box |
-|------|--------|-----|
-| Docker/WS 断开 | `runtime_disconnect_callback` → sleep 3s → re-initialize | `runtime_disconnect_callback` → `BoxService._reconnect_loop()`（指数退避） |
-| WS 连接失败 | 同上 | 同上；初次失败时 `_available=False`，重连成功后恢复 |
-| stdio 断开 | 仅日志，不重连 | 接同样回调；stdio 重连需重新 fork 子进程 |
-| 重连退避 | 固定 3s，无 backoff | 指数退避 |
-
-> 历史：2026-04-16 版本本文档曾把心跳与重连标记为 Box 缺失。这两项已在 commit `2dfd9d5d` / `c6882cf` / `5029d9c` 等修复（详见 [box-issues.md 已解决](./box-issues.md)）。
-
----
-
-## 5. 共享 IO 层
-
-两者复用同一套 SDK IO 基础设施：
-
-```
-Handler ← ABC                              (runtime/io/handler.py)
-  ├── RuntimeConnectionHandler              (Plugin 用, LangBot 侧)
-  ├── ControlConnectionHandler              (Plugin 用, SDK 侧)
-  ├── BoxServerHandler                      (Box 用, SDK 侧)
-  └── 匿名 Handler 实例                     (Box 用, LangBot 侧)
-
-Connection ← ABC
-  ├── StdioConnection    (stdio: 16KB chunks, 应用层分帧协议)
-  └── WebSocketConnection (WS: 64KB chunks, 原生 WS 分帧)
-
-Controller ← ABC
-  ├── StdioClientController    (fork 子进程, pipe stdin/stdout)
-  ├── StdioServerController    (接管当前进程 stdin/stdout)
-  ├── WebSocketClientController (连接 WS 服务端)
-  └── WebSocketServerController (监听 WS 端口)
-```
-
-共享的核心机制：
-- `call_action()` / `call_action_generator()` — RPC 调用/流式调用
-- `ActionRequest` / `ActionResponse` — 请求/响应协议
-- `seq_id` 关联 — 并发请求复用单连接
-- `CommonAction.PING` — 两者都用于初始握手
-- 文件传输 (`send_file`) — Plugin 用，Box 不用
-
----
-
-## 6. 端口方案
-
-| 服务 | Plugin | Box |
-|------|--------|-----|
-| Action RPC (stdio) | stdin/stdout | stdin/stdout |
-| Action RPC (WS) | `:5400` | `:5410/rpc/ws` |
-| 辅助服务 | debug WS `:5401` | managed process WS relay `:5410/v1/sessions/{id}/managed-process/ws` |
-
-**Box 特点**: 单端口 aiohttp 服务（默认 5410），通过路径区分 Action RPC 和 managed process relay。即使在 stdio 模式，也在 `:5410` 启动 aiohttp 用于 managed process attach。Plugin 在 stdio 模式不开额外端口。
-
----
-
-## 7. 销毁对比
-
-### Plugin
-
-```python
-dispose():
-  if stdio: ctrl.process.terminate()
-  _dispose_subprocess()         # Windows 子进程
-  heartbeat_task.cancel()
-```
-
-### Box
-
-```python
-connector.dispose():
-  _handler_task.cancel()
-  _ctrl_task.cancel()
-  _subprocess.terminate()
-
-service.dispose():
-  connector.dispose()
-  loop.create_task(client.shutdown())   # RPC SHUTDOWN → 清理所有容器
-```
-
-Box 的 RPC SHUTDOWN 确保容器被正确停止，不会成为孤儿。Plugin 直接杀进程。
-
----
-
-## 8. 改进建议
-
-### P0
-
-1. **两者都加 WS 认证**: 至少 token 认证（INIT 时下发，连接时校验）
-
-### P1
-
-2. **考虑 Box 继承 ManagedRuntimeConnector**: 复用 `_start_runtime_subprocess` / `_wait_until_ready` / `_dispose_subprocess`，减少重复代码
-3. **Plugin 重连加退避**: 固定 3s 无 backoff 可能造成日志洪水，建议向 Box 的指数退避看齐
-4. **统一连接管理模式**: Event-based (Box) vs direct-await (Plugin)，考虑收敛为一种
-
-### 已完成（自上一轮）
-
-- ~~Box 加重连~~（commit `2dfd9d5d`）
-- ~~Box 加心跳~~（20s loop 与 Plugin 一致）
-- ~~Box 加 Windows 支持~~（commit `120817a` / `fafb7a4`）

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "langbot"
-version = "4.10.0-beta.2"
+version = "4.9.6"
 description = "Production-grade platform for building agentic IM bots"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -22,7 +22,7 @@ dependencies = [
     "discord-py>=2.5.2",
     "pynacl>=1.5.0", # Required for Discord voice support
     "gewechat-client>=0.1.5",
-    "lark-oapi>=1.5.5",
+    "lark-oapi>=1.4.15",
     "mcp>=1.25.0",
     "nakuru-project-idk>=0.0.2.1",
     "ollama>=0.4.8",
@@ -35,7 +35,6 @@ dependencies = [
     "python-telegram-bot>=22.0",
     "pyyaml>=6.0.2",
     "qq-botpy-rc>=1.2.1.6",
-    "qrcode>=7.4",
     "quart>=0.20.0",
     "quart-cors>=0.8.0",
     "requests>=2.32.3",
@@ -70,7 +69,7 @@ dependencies = [
     "chromadb>=1.0.0,<2.0.0",
     "qdrant-client (>=1.15.1,<2.0.0)",
     "pyseekdb==1.1.0.post3",
-    "langbot-plugin==0.4.0",
+    "langbot-plugin==0.3.10",
     "asyncpg>=0.30.0",
     "line-bot-sdk>=3.19.0",
     "matrix-nio>=0.25.2",
@@ -105,9 +104,6 @@ classifiers = [
     "Topic :: Communications :: Chat",
 ]
 
-[tool.uv.sources]
-langbot-plugin = { path = "../langbot-plugin-sdk", editable = true }
-
 [project.urls]
 Homepage = "https://langbot.app"
 Documentation = "https://docs.langbot.app"
@@ -121,11 +117,10 @@ requires = ["setuptools>=61.0", "wheel"]
 build-backend = "setuptools.build_meta"
 
 [tool.setuptools]
-package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/dist/**", "pkg/persistence/alembic/**"] }
+package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "pkg/platform/adapters/**", "web/dist/**", "pkg/persistence/alembic/**"] }
 
 [dependency-groups]
 dev = [
-    "moto>=5.2.1",
     "pre-commit>=4.2.0",
     "pytest>=9.0.3",
     "pytest-asyncio>=1.0.0",

pytest.ini

@@ -4,9 +4,6 @@ python_files = test_*.py
 python_classes = Test*
 python_functions = test_*
 
-# Python path for imports
-pythonpath = . tests
-
 # Test paths
 testpaths = tests
 
@@ -25,9 +22,7 @@ markers =
     asyncio: mark test as async
     unit: mark test as unit test
     integration: mark test as integration test
-    smoke: mark test as smoke test
     slow: mark test as slow running
-    e2e: mark test as end-to-end test (requires real LangBot process)
 
 # Coverage options (when using pytest-cov)
 [coverage:run]

scripts/test-coverage.sh

@@ -1,65 +0,0 @@
-#!/bin/bash
-
-# Coverage gate script
-# Runs all tests with coverage, enforcing minimum coverage threshold
-# Uses separate pytest invocations to avoid sys.modules pollution between test types
-
-set -euo pipefail
-
-echo "=== LangBot Coverage Gate ==="
-echo ""
-
-# Coverage threshold (baseline from current coverage, conservative buffer)
-# Current: ~22.14%, threshold: 18%
-COVERAGE_THRESHOLD=18
-
-# Create temporary directory for coverage files
-COV_DIR=$(mktemp -d)
-trap "rm -rf $COV_DIR" EXIT
-
-echo "[1/3] Running unit + smoke tests with coverage..."
-uv run pytest tests/unit_tests/ tests/smoke/ \
-    --cov=langbot \
-    --cov-report=json:$COV_DIR/unit.json \
-    --cov-report=term-missing \
-    -q --tb=short
-echo ""
-
-echo "[2/3] Running fast integration tests with coverage..."
-uv run pytest tests/integration/ -m "not slow" \
-    --cov=langbot \
-    --cov-report=json:$COV_DIR/integration.json \
-    --cov-report=term-missing \
-    -q --tb=short
-echo ""
-
-echo "[3/3] Combining coverage reports..."
-# Use coverage combine if available, otherwise just report total
-if command -v coverage &> /dev/null; then
-    # Combine JSON reports
-    coverage combine --keep $COV_DIR/unit.json $COV_DIR/integration.json \
-        --data-file=$COV_DIR/combined.data 2>/dev/null || true
-
-    coverage report --data-file=$COV_DIR/combined.data || true
-else
-    echo "Note: coverage combine not available, showing individual reports above"
-fi
-
-# Generate final XML report for CI (from last run)
-uv run pytest tests/unit_tests/ tests/smoke/ \
-    --cov=langbot \
-    --cov-report=xml:coverage.xml \
-    --cov-report=term \
-    --cov-fail-under=$COVERAGE_THRESHOLD \
-    -q 2>/dev/null || {
-    # If threshold check fails on combined, check unit+smoke baseline
-    echo ""
-    echo "Coverage threshold: $COVERAGE_THRESHOLD%"
-    echo "Note: Full coverage requires running all test types separately"
-}
-
-echo ""
-echo "=== Coverage Gate Complete ==="
-echo ""
-echo "Coverage baseline: $COVERAGE_THRESHOLD%"
-echo "Coverage report saved to coverage.xml"

scripts/test-integration-fast.sh

@@ -1,16 +0,0 @@
-#!/bin/bash
-
-# Fast integration tests
-# Runs integration tests excluding slow ones (PostgreSQL, external services)
-# Uses fake runner/provider, no real credentials needed
-
-set -euo pipefail
-
-echo "=== LangBot Fast Integration Tests ==="
-echo ""
-
-echo "Running integration tests (excluding slow)..."
-uv run pytest tests/integration/ -m "not slow" -q --tb=short
-
-echo ""
-echo "=== Fast Integration Tests Complete ==="

scripts/test-quick.sh

@@ -1,36 +0,0 @@
-#!/bin/bash
-
-# Quick developer self-test command
-# Runs linting, unit tests, and smoke tests without requiring real provider keys
-# Suitable for local branch validation
-
-set -euo pipefail
-
-echo "=== LangBot Quick Self-Test ==="
-echo ""
-
-# 1. Ruff check
-echo "[1/3] Running ruff check..."
-uv run ruff check src/langbot/ tests/ --output-format=concise || {
-    echo ""
-    echo "⚠ Ruff check found issues. Run 'uv run ruff check --fix' to auto-fix."
-    exit 1
-}
-echo "✓ Ruff check passed"
-echo ""
-
-# 2. Unit tests
-echo "[2/3] Running unit tests..."
-uv run pytest tests/unit_tests/ -q --tb=short
-echo ""
-
-# 3. Smoke tests (if exists)
-echo "[3/3] Running smoke tests..."
-if [ -d "tests/smoke" ]; then
-    uv run pytest tests/smoke/ -q --tb=short
-else
-    echo "No smoke tests found, skipping"
-fi
-echo ""
-
-echo "=== Quick Self-Test Complete ==="

src/langbot/__init__.py

@@ -1,3 +1,3 @@
 """LangBot - Production-grade platform for building agentic IM bots"""
 
-__version__ = '4.10.0-beta.2'
+__version__ = '4.9.6'

src/langbot/__main__.py

@@ -5,8 +5,6 @@ import argparse
 import sys
 import os
 
-from langbot.pkg.utils import paths
-
 # ASCII art banner
 asciiart = r"""
  _                   ___      _   
@@ -29,12 +27,6 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
         help='Use standalone plugin runtime / 使用独立插件运行时',
         default=False,
     )
-    parser.add_argument(
-        '--standalone-box',
-        action='store_true',
-        help='Use standalone box runtime / 使用独立 Box 运行时',
-        default=False,
-    )
     parser.add_argument('--debug', action='store_true', help='Debug mode / 调试模式', default=False)
     args = parser.parse_args()
 
@@ -43,11 +35,6 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
 
         platform.standalone_runtime = True
 
-    if args.standalone_box:
-        from langbot.pkg.utils import platform
-
-        platform.standalone_box = True
-
     if args.debug:
         from langbot.pkg.utils import constants
 
@@ -100,7 +87,7 @@ def main():
     # Set up the working directory
     # When installed as a package, we need to handle the working directory differently
     # We'll create data directory in current working directory if not exists
-    os.makedirs(paths.get_data_root(), exist_ok=True)
+    os.makedirs('data', exist_ok=True)
 
     loop = asyncio.new_event_loop()
 

src/langbot/libs/dingtalk_api/api.py

@@ -438,8 +438,13 @@ class DingTalkClient:
         try:
             async with httpx.AsyncClient() as client:
                 response = await client.post(url, headers=headers, json=data)
+                try:
+                    body = response.json()
+                except Exception:
+                    body = {'text': response.text}
                 if response.status_code == 200:
-                    return
+                    return body
+                raise Exception(f'Error: {response.status_code}, {body}')
         except Exception:
             await self.logger.error(f'failed to send proactive massage to person: {traceback.format_exc()}')
             raise Exception(f'failed to send proactive massage to person: {traceback.format_exc()}')
@@ -464,8 +469,13 @@ class DingTalkClient:
         try:
             async with httpx.AsyncClient() as client:
                 response = await client.post(url, headers=headers, json=data)
+                try:
+                    body = response.json()
+                except Exception:
+                    body = {'text': response.text}
                 if response.status_code == 200:
-                    return
+                    return body
+                raise Exception(f'Error: {response.status_code}, {body}')
         except Exception:
             await self.logger.error(f'failed to send proactive massage to group: {traceback.format_exc()}')
             raise Exception(f'failed to send proactive massage to group: {traceback.format_exc()}')

src/langbot/libs/official_account_api/api.py

@@ -93,15 +93,30 @@ class OAClient:
                 raise Exception('msg_signature不在请求体中')
 
             if req.method == 'GET':
-                # 校验签名
+                if msg_signature:
+                    wxcpt = WXBizMsgCrypt(self.token, self.aes, self.appid)
+                    ret, reply_echo = wxcpt.VerifyURL(msg_signature, timestamp, nonce, echostr)
+                    if ret == 0:
+                        return reply_echo
+                    await self.logger.error(
+                        'OfficialAccount encrypted URL verification failed: '
+                        f'ret={ret}, timestamp_present={bool(timestamp)}, nonce_present={bool(nonce)}, '
+                        f'echostr_present={bool(echostr)}'
+                    )
+
+                # Plaintext callback verification.
                 check_str = ''.join(sorted([self.token, timestamp, nonce]))
                 check_signature = hashlib.sha1(check_str.encode('utf-8')).hexdigest()
 
                 if check_signature == signature:
                     return echostr  # 验证成功返回echostr
                 else:
-                    await self.logger.error('拒绝请求')
+                    await self.logger.error(
-                    raise Exception('拒绝请求')
+                        'OfficialAccount plaintext URL verification failed: '
+                        f'signature_present={bool(signature)}, timestamp_present={bool(timestamp)}, '
+                        f'nonce_present={bool(nonce)}, echostr_present={bool(echostr)}'
+                    )
+                    return 'signature verification failed', 403
             elif req.method == 'POST':
                 encryt_msg = await req.data
                 wxcpt = WXBizMsgCrypt(self.token, self.aes, self.appid)
@@ -279,9 +294,27 @@ class OAClientForLongerResponse:
                 raise Exception('msg_signature不在请求体中')
 
             if req.method == 'GET':
+                if msg_signature:
+                    wxcpt = WXBizMsgCrypt(self.token, self.aes, self.appid)
+                    ret, reply_echo = wxcpt.VerifyURL(msg_signature, timestamp, nonce, echostr)
+                    if ret == 0:
+                        return reply_echo
+                    await self.logger.error(
+                        'OfficialAccount encrypted URL verification failed: '
+                        f'ret={ret}, timestamp_present={bool(timestamp)}, nonce_present={bool(nonce)}, '
+                        f'echostr_present={bool(echostr)}'
+                    )
+
                 check_str = ''.join(sorted([self.token, timestamp, nonce]))
                 check_signature = hashlib.sha1(check_str.encode('utf-8')).hexdigest()
-                return echostr if check_signature == signature else '拒绝请求'
+                if check_signature == signature:
+                    return echostr
+                await self.logger.error(
+                    'OfficialAccount plaintext URL verification failed: '
+                    f'signature_present={bool(signature)}, timestamp_present={bool(timestamp)}, '
+                    f'nonce_present={bool(nonce)}, echostr_present={bool(echostr)}'
+                )
+                return 'signature verification failed', 403
 
             elif req.method == 'POST':
                 encryt_msg = await req.data

src/langbot/libs/wecom_ai_bot_api/api.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import asyncio
 import base64
 import json
@@ -7,7 +9,7 @@ import uuid
 import xml.etree.ElementTree as ET
 from dataclasses import dataclass, field
 import re
-from typing import Any, Callable, Optional, Tuple
+from typing import TYPE_CHECKING, Any, Callable, Optional, Tuple
 from urllib.parse import unquote
 
 import httpx
@@ -16,7 +18,9 @@ from quart import Quart, request, Response, jsonify
 
 from langbot.libs.wecom_ai_bot_api import wecombotevent
 from langbot.libs.wecom_ai_bot_api.WXBizMsgCrypt3 import WXBizMsgCrypt
-from langbot.pkg.platform.logger import EventLogger
+
+if TYPE_CHECKING:
+    from langbot.pkg.platform.logger import EventLogger
 
 
 @dataclass

src/langbot/libs/wecom_ai_bot_api/ws_client.py

@@ -15,13 +15,15 @@ import json
 import secrets
 import time
 import traceback
-from typing import Any, Callable, Optional
+from typing import TYPE_CHECKING, 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, StreamSession
-from langbot.pkg.platform.logger import EventLogger
+
+if TYPE_CHECKING:
+    from langbot.pkg.platform.logger import EventLogger
 
 DEFAULT_WS_URL = 'wss://openws.work.weixin.qq.com'
 

src/langbot/libs/wecom_customer_service_api/api.py

@@ -207,7 +207,33 @@ class WecomCSClient:
                 return await self.send_text_msg(open_kfid, external_userid, msgid, content)
             if data['errcode'] != 0:
                 await self.logger.error(f'发送消息失败：{data}')
-                raise Exception('Failed to send message')
+                raise Exception(f'Failed to send message: {data}')
+            return data
+
+    async def send_image_msg(self, open_kfid: str, external_userid: str, msgid: str, media_id: str):
+        if not await self.check_access_token():
+            self.access_token = await self.get_access_token(self.secret)
+
+        url = f'{self.base_url}/kf/send_msg?access_token={self.access_token}'
+        payload = {
+            'touser': external_userid,
+            'open_kfid': open_kfid,
+            'msgid': msgid,
+            'msgtype': 'image',
+            'image': {
+                'media_id': media_id,
+            },
+        }
+
+        async with httpx.AsyncClient() as client:
+            response = await client.post(url, json=payload)
+            data = response.json()
+            if data['errcode'] == 40014 or data['errcode'] == 42001:
+                self.access_token = await self.get_access_token(self.secret)
+                return await self.send_image_msg(open_kfid, external_userid, msgid, media_id)
+            if data['errcode'] != 0:
+                await self.logger.error(f'发送图片消息失败：{data}')
+                raise Exception('Failed to send image message')
             return data
 
     async def handle_callback_request(self):
@@ -322,7 +348,7 @@ class WecomCSClient:
         if not await self.check_access_token():
             self.access_token = await self.get_access_token(self.secret)
 
-        url = self.base_url + '/media/upload?access_token=' + self.access_token + '&type=file'
+        url = self.base_url + '/media/upload?access_token=' + self.access_token + '&type=image'
         file_bytes = None
         file_name = 'uploaded_file.txt'
 
@@ -368,7 +394,7 @@ class WecomCSClient:
                 self.access_token = await self.get_access_token(self.secret)
                 media_id = await self.upload_to_work(image)
             if data.get('errcode', 0) != 0:
-                raise Exception('failed to upload file')
+                raise Exception(f'failed to upload image: {data}')
 
             media_id = data.get('media_id')
             return media_id

src/langbot/pkg/agent/__init__.py

@@ -1,37 +0,0 @@
-"""Agent runner subsystem for LangBot."""
-from __future__ import annotations
-
-from .runner.descriptor import AgentRunnerDescriptor
-from .runner.id import parse_runner_id, format_runner_id, RunnerIdParts, is_plugin_runner_id
-from .runner.errors import (
-    AgentRunnerError,
-    RunnerNotFoundError,
-    RunnerNotAuthorizedError,
-    RunnerProtocolError,
-    RunnerExecutionError,
-)
-from .runner.registry import AgentRunnerRegistry
-from .runner.context_builder import AgentRunContextBuilder
-from .runner.resource_builder import AgentResourceBuilder
-from .runner.result_normalizer import AgentResultNormalizer
-from .runner.orchestrator import AgentRunOrchestrator
-from .runner.config_migration import ConfigMigration
-
-__all__ = [
-    'AgentRunnerDescriptor',
-    'parse_runner_id',
-    'format_runner_id',
-    'is_plugin_runner_id',
-    'RunnerIdParts',
-    'AgentRunnerError',
-    'RunnerNotFoundError',
-    'RunnerNotAuthorizedError',
-    'RunnerProtocolError',
-    'RunnerExecutionError',
-    'AgentRunnerRegistry',
-    'AgentRunContextBuilder',
-    'AgentResourceBuilder',
-    'AgentResultNormalizer',
-    'AgentRunOrchestrator',
-    'ConfigMigration',
-]

src/langbot/pkg/agent/runner/__init__.py

@@ -1,61 +0,0 @@
-"""Agent runner modules."""
-from __future__ import annotations
-
-from .descriptor import AgentRunnerDescriptor
-from .id import parse_runner_id, format_runner_id, RunnerIdParts
-from .errors import (
-    AgentRunnerError,
-    RunnerNotFoundError,
-    RunnerNotAuthorizedError,
-    RunnerProtocolError,
-    RunnerExecutionError,
-)
-from .registry import AgentRunnerRegistry
-from .context_builder import AgentRunContextBuilder
-from .resource_builder import AgentResourceBuilder
-from .result_normalizer import AgentResultNormalizer
-from .orchestrator import AgentRunOrchestrator
-from .config_migration import ConfigMigration
-from .binding_resolver import AgentBindingResolver, AgentBindingResolutionError
-from .session_registry import (
-    AgentRunSessionRegistry,
-    AgentRunSession,
-    RunAuthorizationSnapshot,
-    get_session_registry,
-)
-from .events import (
-    MESSAGE_RECEIVED,
-    MESSAGE_RECALLED,
-    GROUP_MEMBER_JOINED,
-    FRIEND_REQUEST_RECEIVED,
-    RESERVED_EVENT_TYPES,
-)
-
-__all__ = [
-    'AgentRunnerDescriptor',
-    'parse_runner_id',
-    'format_runner_id',
-    'RunnerIdParts',
-    'AgentRunnerError',
-    'RunnerNotFoundError',
-    'RunnerNotAuthorizedError',
-    'RunnerProtocolError',
-    'RunnerExecutionError',
-    'AgentRunnerRegistry',
-    'AgentRunContextBuilder',
-    'AgentResourceBuilder',
-    'AgentResultNormalizer',
-    'AgentRunOrchestrator',
-    'ConfigMigration',
-    'AgentBindingResolver',
-    'AgentBindingResolutionError',
-    'AgentRunSessionRegistry',
-    'AgentRunSession',
-    'RunAuthorizationSnapshot',
-    'get_session_registry',
-    'MESSAGE_RECEIVED',
-    'MESSAGE_RECALLED',
-    'GROUP_MEMBER_JOINED',
-    'FRIEND_REQUEST_RECEIVED',
-    'RESERVED_EVENT_TYPES',
-]

src/langbot/pkg/agent/runner/artifact_store.py

@@ -1,430 +0,0 @@
-"""Artifact store for managing Host-owned artifacts."""
-from __future__ import annotations
-
-import json
-import datetime
-import typing
-import uuid
-import base64
-import os
-
-import sqlalchemy
-from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
-from sqlalchemy.orm import sessionmaker
-
-from ...entity.persistence.artifact import AgentArtifact
-from ...entity.persistence.bstorage import BinaryStorage
-
-_FILE_ARTIFACT_METADATA_KEY = '_langbot_file_artifact'
-
-
-class ArtifactStore:
-    """Store for AgentArtifact records.
-
-    Handles artifact metadata registration and content retrieval.
-    Actual blob storage is delegated to BinaryStorage or external storage.
-
-    All methods are async and use the provided database engine.
-    """
-
-    engine: AsyncEngine
-
-    # Hard limits
-    MAX_INLINE_READ_BYTES = 1024 * 1024  # 1MB max for inline base64
-    MAX_RANGE_READ_BYTES = 10 * 1024 * 1024  # 10MB max for range reads
-
-    def __init__(self, engine: AsyncEngine):
-        self.engine = engine
-        self._session_factory = sessionmaker(
-            engine, class_=AsyncSession, expire_on_commit=False
-        )
-
-    async def register_file_artifact(
-        self,
-        *,
-        artifact_id: str | None,
-        host_path: str,
-        host_root: str,
-        artifact_type: str = 'file',
-        source: str = 'tool',
-        mime_type: str | None = None,
-        name: str | None = None,
-        size_bytes: int | None = None,
-        sha256: str | None = None,
-        conversation_id: str | None = None,
-        run_id: str | None = None,
-        runner_id: str | None = None,
-        bot_id: str | None = None,
-        workspace_id: str | None = None,
-        expires_at: datetime.datetime | None = None,
-        metadata: dict[str, typing.Any] | None = None,
-    ) -> str:
-        """Register a Host-owned artifact backed by a bounded local file path.
-
-        The public metadata intentionally excludes the real host path. Reads go
-        through read_artifact(), which revalidates the path against host_root.
-        """
-        real_path, real_root = self._validate_file_artifact_path(host_path, host_root)
-        if not os.path.isfile(real_path):
-            raise ValueError('file artifact path must point to a file')
-
-        public_metadata = dict(metadata or {})
-        public_metadata[_FILE_ARTIFACT_METADATA_KEY] = {
-            'path': real_path,
-            'root': real_root,
-        }
-
-        if size_bytes is None:
-            size_bytes = os.path.getsize(real_path)
-
-        return await self.register_artifact(
-            artifact_id=artifact_id,
-            artifact_type=artifact_type,
-            source=source,
-            storage_key=f'file:{uuid.uuid4().hex}',
-            storage_type='file',
-            mime_type=mime_type,
-            name=name or os.path.basename(real_path),
-            size_bytes=size_bytes,
-            sha256=sha256,
-            conversation_id=conversation_id,
-            run_id=run_id,
-            runner_id=runner_id,
-            bot_id=bot_id,
-            workspace_id=workspace_id,
-            expires_at=expires_at,
-            metadata=public_metadata,
-            content=None,
-        )
-
-    async def register_artifact(
-        self,
-        artifact_id: str | None,
-        artifact_type: str,
-        source: str,
-        storage_key: str | None = None,
-        storage_type: str = 'binary_storage',
-        mime_type: str | None = None,
-        name: str | None = None,
-        size_bytes: int | None = None,
-        sha256: str | None = None,
-        conversation_id: str | None = None,
-        run_id: str | None = None,
-        runner_id: str | None = None,
-        bot_id: str | None = None,
-        workspace_id: str | None = None,
-        expires_at: datetime.datetime | None = None,
-        metadata: dict[str, typing.Any] | None = None,
-        content: bytes | None = None,
-    ) -> str:
-        """Register a new artifact.
-
-        If content is provided and storage_key is None, stores content
-        in BinaryStorage automatically.
-
-        Args:
-            artifact_id: Unique artifact ID (generated if None)
-            artifact_type: Type of artifact (image, file, voice, tool_result, etc.)
-            source: Source of artifact (platform, runner, tool, system)
-            storage_key: Key in BinaryStorage or external reference
-            storage_type: Storage type (binary_storage, file, url)
-            mime_type: MIME type
-            name: Original file name
-            size_bytes: Size in bytes
-            sha256: SHA256 hash
-            conversation_id: Conversation ID
-            run_id: Run ID that created this
-            runner_id: Runner ID that created this
-            bot_id: Bot UUID
-            workspace_id: Workspace ID
-            expires_at: Expiration time
-            metadata: Additional metadata
-            content: Optional content to store in BinaryStorage
-
-        Returns:
-            The artifact_id
-        """
-        if artifact_id is None:
-            artifact_id = str(uuid.uuid4())
-
-        # If content provided, store in BinaryStorage
-        if content is not None and storage_key is None:
-            storage_key = f"artifact:{artifact_id}"
-            storage_type = 'binary_storage'
-            if size_bytes is None:
-                size_bytes = len(content)
-
-        async with self._session_factory() as session:
-            # Store content in BinaryStorage if provided
-            if content is not None:
-                binary_storage = BinaryStorage(
-                    unique_key=f'artifact:{artifact_id}',
-                    key=storage_key,
-                    owner_type='artifact',
-                    owner='host',
-                    value=content,
-                )
-                session.add(binary_storage)
-
-            # Store artifact metadata
-            artifact = AgentArtifact(
-                artifact_id=artifact_id,
-                artifact_type=artifact_type,
-                mime_type=mime_type,
-                name=name,
-                size_bytes=size_bytes,
-                sha256=sha256,
-                source=source,
-                storage_key=storage_key,
-                storage_type=storage_type,
-                conversation_id=conversation_id,
-                run_id=run_id,
-                runner_id=runner_id,
-                bot_id=bot_id,
-                workspace_id=workspace_id,
-                created_at=datetime.datetime.utcnow(),
-                expires_at=expires_at,
-                metadata_json=json.dumps(metadata) if metadata else None,
-            )
-            session.add(artifact)
-            await session.commit()
-
-        return artifact_id
-
-    async def get_metadata(
-        self,
-        artifact_id: str,
-    ) -> dict[str, typing.Any] | None:
-        """Get artifact metadata (public fields only, no internal storage info).
-
-        Args:
-            artifact_id: Artifact ID
-
-        Returns:
-            Artifact metadata dict compatible with SDK ArtifactMetadata, or None if not found
-        """
-        async with self._session_factory() as session:
-            result = await session.execute(
-                sqlalchemy.select(AgentArtifact).where(
-                    AgentArtifact.artifact_id == artifact_id
-                )
-            )
-            row = result.scalars().first()
-            if row is None:
-                return None
-            return self._row_to_public_dict(row)
-
-    async def _get_internal_record(
-        self,
-        artifact_id: str,
-    ) -> AgentArtifact | None:
-        """Get full artifact record including internal fields.
-
-        Used internally by read_artifact to access storage_key/storage_type.
-
-        Args:
-            artifact_id: Artifact ID
-
-        Returns:
-            AgentArtifact ORM instance, or None if not found
-        """
-        async with self._session_factory() as session:
-            result = await session.execute(
-                sqlalchemy.select(AgentArtifact).where(
-                    AgentArtifact.artifact_id == artifact_id
-                )
-            )
-            return result.scalars().first()
-
-    async def read_artifact(
-        self,
-        artifact_id: str,
-        offset: int = 0,
-        limit: int | None = None,
-    ) -> dict[str, typing.Any] | None:
-        """Read artifact content.
-
-        For small artifacts, returns content_base64 directly.
-        For large artifacts, returns file_key for chunked transfer.
-
-        Args:
-            artifact_id: Artifact ID
-            offset: Byte offset to start reading from (must be >= 0)
-            limit: Maximum bytes to read (must be > 0 if provided)
-
-        Returns:
-            ArtifactReadResult dict, or None if not found
-
-        Raises:
-            ValueError: If offset < 0 or limit <= 0
-        """
-        # Validate offset and limit
-        if offset < 0:
-            raise ValueError("offset must be >= 0")
-
-        if limit is not None and limit <= 0:
-            raise ValueError("limit must be > 0")
-
-        # Get internal record (includes storage_key/storage_type)
-        record = await self._get_internal_record(artifact_id)
-        if record is None:
-            return None
-
-        storage_type = record.storage_type or 'binary_storage'
-        storage_key = record.storage_key
-        size_bytes = record.size_bytes or 0
-
-        # Cap limit at hard limit
-        if limit is None:
-            limit = self.MAX_INLINE_READ_BYTES
-        limit = min(limit, self.MAX_RANGE_READ_BYTES)
-
-        # For binary_storage, read content
-        if storage_type == 'binary_storage' and storage_key:
-            content = await self._read_binary_storage(storage_key)
-            if content is None:
-                return None
-
-            # Apply offset and limit
-            if offset > 0:
-                content = content[offset:]
-            if limit and len(content) > limit:
-                content = content[:limit]
-                has_more = True
-            else:
-                has_more = False
-
-            return {
-                'artifact_id': artifact_id,
-                'mime_type': record.mime_type,
-                'size_bytes': size_bytes,
-                'offset': offset,
-                'length': len(content),
-                'content_base64': base64.b64encode(content).decode('utf-8'),
-                'file_key': None,
-                'has_more': has_more,
-            }
-
-        if storage_type == 'file':
-            return self._read_file_storage(record, artifact_id, offset, limit)
-
-        # For other storage types, return storage reference
-        # (caller can use file_key for chunked transfer)
-        return {
-            'artifact_id': artifact_id,
-            'mime_type': record.mime_type,
-            'size_bytes': size_bytes,
-            'offset': offset,
-            'length': None,
-            'content_base64': None,
-            'file_key': storage_key,
-            'has_more': False,
-        }
-
-    async def _read_binary_storage(self, key: str) -> bytes | None:
-        """Read content from BinaryStorage.
-
-        Uses unique_key for isolation to prevent cross-artifact access.
-
-        Args:
-            key: The unique_key used when storing the artifact
-
-        Returns:
-            Content bytes, or None if not found
-        """
-        async with self._session_factory() as session:
-            result = await session.execute(
-                sqlalchemy.select(BinaryStorage).where(BinaryStorage.unique_key == key)
-            )
-            row = result.scalars().first()
-            if row is None:
-                return None
-            return row.value
-
-    def _read_file_storage(
-        self,
-        record: AgentArtifact,
-        artifact_id: str,
-        offset: int,
-        limit: int,
-    ) -> dict[str, typing.Any] | None:
-        metadata = self._load_metadata(record.metadata_json)
-        file_info = metadata.get(_FILE_ARTIFACT_METADATA_KEY)
-        if not isinstance(file_info, dict):
-            return None
-
-        host_path = file_info.get('path')
-        host_root = file_info.get('root')
-        if not isinstance(host_path, str) or not isinstance(host_root, str):
-            return None
-
-        real_path, _ = self._validate_file_artifact_path(host_path, host_root)
-        if not os.path.isfile(real_path):
-            return None
-
-        file_size = os.path.getsize(real_path)
-        if offset >= file_size:
-            content = b''
-        else:
-            with open(real_path, 'rb') as f:
-                f.seek(offset)
-                content = f.read(limit)
-
-        return {
-            'artifact_id': artifact_id,
-            'mime_type': record.mime_type,
-            'size_bytes': file_size,
-            'offset': offset,
-            'length': len(content),
-            'content_base64': base64.b64encode(content).decode('utf-8'),
-            'file_key': None,
-            'has_more': offset + len(content) < file_size,
-        }
-
-    @staticmethod
-    def _validate_file_artifact_path(host_path: str, host_root: str) -> tuple[str, str]:
-        real_path = os.path.realpath(host_path)
-        real_root = os.path.realpath(host_root)
-        if not real_root:
-            raise ValueError('file artifact root is required')
-        if not (real_path == real_root or real_path.startswith(real_root + os.sep)):
-            raise ValueError('file artifact path escapes allowed root')
-        return real_path, real_root
-
-    @staticmethod
-    def _load_metadata(metadata_json: str | None) -> dict[str, typing.Any]:
-        if not metadata_json:
-            return {}
-        try:
-            metadata = json.loads(metadata_json)
-        except Exception:
-            return {}
-        return metadata if isinstance(metadata, dict) else {}
-
-    @staticmethod
-    def _public_metadata(metadata_json: str | None) -> dict[str, typing.Any]:
-        metadata = ArtifactStore._load_metadata(metadata_json)
-        metadata.pop(_FILE_ARTIFACT_METADATA_KEY, None)
-        return metadata
-
-    def _row_to_public_dict(self, row: AgentArtifact) -> dict[str, typing.Any]:
-        """Convert an AgentArtifact row to public dict.
-
-        Returns only fields that match SDK ArtifactMetadata entity.
-        Host-only fields (bot_id, workspace_id, storage_key, storage_type) are excluded.
-        """
-        return {
-            'artifact_id': row.artifact_id,
-            'artifact_type': row.artifact_type,
-            'mime_type': row.mime_type,
-            'name': row.name,
-            'size_bytes': row.size_bytes,
-            'sha256': row.sha256,
-            'source': row.source,
-            'conversation_id': row.conversation_id,
-            'run_id': row.run_id,
-            'runner_id': row.runner_id,
-            'created_at': int(row.created_at.timestamp()) if row.created_at else None,
-            'expires_at': int(row.expires_at.timestamp()) if row.expires_at else None,
-            'metadata': self._public_metadata(row.metadata_json),
-        }

src/langbot/pkg/agent/runner/binding_resolver.py

@@ -1,63 +0,0 @@
-"""Resolve host events to one effective Agent binding."""
-
-from __future__ import annotations
-
-from .host_models import AgentConfig, AgentBinding, AgentEventEnvelope, BindingScope
-
-
-class AgentBindingResolutionError(Exception):
-    """Raised when an event cannot resolve to exactly one Agent binding."""
-
-
-class AgentBindingResolver:
-    """Resolve an event to a single AgentBinding.
-
-    The target product model is one bot / IM channel -> one Agent. Fan-out,
-    observer agents, or multi-runner arbitration require separate delivery and
-    state semantics and are intentionally not hidden in this resolver.
-    """
-
-    def resolve_one(
-        self,
-        event: AgentEventEnvelope,
-        agents: list[AgentConfig],
-    ) -> AgentBinding:
-        """Resolve exactly one enabled Agent for the event."""
-        matches = [
-            agent
-            for agent in agents
-            if agent.enabled and event.event_type in agent.event_types
-        ]
-
-        if not matches:
-            raise AgentBindingResolutionError(
-                f'No Agent binding matches event_type={event.event_type}'
-            )
-
-        if len(matches) > 1:
-            agent_ids = ', '.join(agent.agent_id or '<anonymous>' for agent in matches)
-            raise AgentBindingResolutionError(
-                f'Multiple Agent bindings match event_type={event.event_type}: {agent_ids}'
-            )
-
-        return self._to_binding(matches[0])
-
-    def _to_binding(self, agent: AgentConfig) -> AgentBinding:
-        """Project product-level Agent config into the run-time binding model."""
-        scope = BindingScope(
-            scope_type='agent',
-            scope_id=agent.agent_id,
-        )
-
-        return AgentBinding(
-            binding_id=f"agent_{agent.agent_id or 'default'}_{agent.runner_id}",
-            scope=scope,
-            event_types=list(agent.event_types),
-            runner_id=agent.runner_id,
-            runner_config=agent.runner_config,
-            resource_policy=agent.resource_policy,
-            state_policy=agent.state_policy,
-            delivery_policy=agent.delivery_policy,
-            enabled=agent.enabled,
-            agent_id=agent.agent_id,
-        )

src/langbot/pkg/agent/runner/config_migration.py

@@ -1,95 +0,0 @@
-"""Helpers for the current AgentRunner config shape."""
-
-from __future__ import annotations
-
-import typing
-
-
-class ConfigMigration:
-    """Configuration helper for agent runner IDs.
-
-    Responsibilities:
-    - Resolve runner ID from ai.runner.id
-    - Extract current Agent/runner config from ai.runner_config
-    - Keep the current config container shape stable on save
-    """
-
-    @staticmethod
-    def resolve_runner_id(pipeline_config: dict[str, typing.Any]) -> str | None:
-        """Resolve runner ID from current configuration.
-
-        Args:
-            pipeline_config: Current configuration container
-
-        Returns:
-            Runner ID string, or None if not configured
-        """
-        ai_config = pipeline_config.get('ai', {})
-        runner_config = ai_config.get('runner', {})
-
-        runner_id = runner_config.get('id')
-        if runner_id:
-            return runner_id
-
-        return None
-
-    @staticmethod
-    def resolve_runner_config(
-        pipeline_config: dict[str, typing.Any],
-        runner_id: str,
-    ) -> dict[str, typing.Any]:
-        """Resolve Agent/runner configuration from the current container.
-
-        Args:
-            pipeline_config: Current configuration container
-            runner_id: Resolved runner ID
-
-        Returns:
-            Runner configuration dict (empty if not found)
-        """
-        ai_config = pipeline_config.get('ai', {})
-
-        runner_configs = ai_config.get('runner_config', {})
-        if runner_id in runner_configs:
-            return runner_configs[runner_id]
-
-        return {}
-
-    @staticmethod
-    def get_expire_time(pipeline_config: dict[str, typing.Any]) -> int:
-        """Get conversation expire time from configuration.
-
-        Args:
-            pipeline_config: Current configuration container
-
-        Returns:
-            Expire time in seconds (0 means no expiry)
-        """
-        ai_config = pipeline_config.get('ai', {})
-        runner_config = ai_config.get('runner', {})
-        return runner_config.get('expire-time', 0)
-
-    @staticmethod
-    def migrate_pipeline_config(pipeline_config: dict[str, typing.Any]) -> dict[str, typing.Any]:
-        """Normalize the current config container before saving.
-
-        Args:
-            pipeline_config: Original configuration
-
-        Returns:
-            Configuration with explicit ai.runner and ai.runner_config containers
-        """
-        new_config = dict(pipeline_config)
-        if 'ai' not in new_config:
-            return new_config
-
-        ai_config = dict(new_config.get('ai', {}))
-
-        runner_config = dict(ai_config.get('runner', {}))
-        runner_configs = dict(ai_config.get('runner_config', {}))
-
-        ai_config['runner'] = runner_config
-        ai_config['runner_config'] = runner_configs
-        new_config['ai'] = ai_config
-
-        return new_config

src/langbot/pkg/agent/runner/config_schema.py

@@ -1,222 +0,0 @@
-"""Helpers for interpreting AgentRunner DynamicForm configuration."""
-from __future__ import annotations
-
-import typing
-
-from .descriptor import AgentRunnerDescriptor
-
-
-LLM_MODEL_SELECTOR_TYPES = {'model-fallback-selector', 'llm-model-selector'}
-KB_SELECTOR_TYPES = {'knowledge-base-multi-selector'}
-PROMPT_EDITOR_TYPES = {'prompt-editor'}
-NONE_SENTINELS = {'', '__none__', '__none'}
-
-
-def iter_schema_items(
-    descriptor: AgentRunnerDescriptor | None,
-    field_types: set[str],
-) -> typing.Iterator[dict[str, typing.Any]]:
-    """Yield descriptor config schema items whose type is in field_types."""
-    if descriptor is None:
-        return
-    for item in descriptor.config_schema or []:
-        if not isinstance(item, dict):
-            continue
-        if item.get('type') in field_types:
-            yield item
-
-
-def has_permission(
-    descriptor: AgentRunnerDescriptor | None,
-    name: str,
-    actions: set[str],
-) -> bool:
-    """Return whether a runner descriptor requests one of the given actions."""
-    if descriptor is None:
-        return False
-    configured_actions = descriptor.permissions.get(name, [])
-    return any(action in configured_actions for action in actions)
-
-
-def uses_host_models(descriptor: AgentRunnerDescriptor | None) -> bool:
-    """Return whether LangBot should resolve model resources for this runner."""
-    return (
-        has_permission(descriptor, 'models', {'invoke', 'stream', 'list'})
-        and any(True for _ in iter_schema_items(descriptor, LLM_MODEL_SELECTOR_TYPES))
-    )
-
-
-def uses_host_tools(descriptor: AgentRunnerDescriptor | None) -> bool:
-    """Return whether LangBot should expose tool resources to this runner."""
-    return (
-        descriptor is not None
-        and descriptor.supports_tool_calling()
-        and has_permission(descriptor, 'tools', {'list', 'detail', 'call'})
-    )
-
-
-def uses_host_knowledge_bases(descriptor: AgentRunnerDescriptor | None) -> bool:
-    """Return whether LangBot should expose knowledge-base resources to this runner."""
-    return (
-        descriptor is not None
-        and descriptor.supports_knowledge_retrieval()
-        and has_permission(descriptor, 'knowledge_bases', {'list', 'retrieve'})
-    )
-
-
-def supports_skill_authoring(descriptor: AgentRunnerDescriptor | None) -> bool:
-    """Return whether the runner wants Host skill-authoring tools."""
-    if descriptor is None:
-        return False
-    return bool(descriptor.capabilities.get('skill_authoring', False))
-
-
-def supports_skill_injection(descriptor: AgentRunnerDescriptor | None) -> bool:
-    """Return whether the runner wants the Host skill index in the effective prompt."""
-    if descriptor is None:
-        return False
-    return bool(descriptor.capabilities.get('skill_injection', False))
-
-
-def extract_prompt_config(
-    descriptor: AgentRunnerDescriptor | None,
-    runner_config: dict[str, typing.Any],
-    default_prompt: list[dict[str, typing.Any]],
-) -> list[dict[str, typing.Any]]:
-    """Extract the prompt-editor value selected by the runner schema."""
-    for item in iter_schema_items(descriptor, PROMPT_EDITOR_TYPES):
-        field_name = item.get('name')
-        if field_name and field_name in runner_config:
-            configured_prompt = runner_config[field_name]
-            if isinstance(configured_prompt, list):
-                return configured_prompt
-        default_value = item.get('default')
-        if isinstance(default_value, list):
-            return default_value
-    return default_prompt
-
-
-def extract_model_selection(
-    descriptor: AgentRunnerDescriptor | None,
-    runner_config: dict[str, typing.Any],
-) -> tuple[str, list[str]]:
-    """Extract primary/fallback LLM selections from schema-defined fields."""
-    primary_uuid = ''
-    fallback_uuids: list[str] = []
-
-    for item in iter_schema_items(descriptor, LLM_MODEL_SELECTOR_TYPES):
-        field_name = item.get('name')
-        if not field_name:
-            continue
-
-        value = runner_config.get(field_name, item.get('default'))
-        if item.get('type') == 'model-fallback-selector':
-            if isinstance(value, str):
-                primary_uuid = value
-            elif isinstance(value, dict):
-                primary_uuid = value.get('primary') or ''
-                fallbacks = value.get('fallbacks', [])
-                if isinstance(fallbacks, list):
-                    fallback_uuids = [fallback for fallback in fallbacks if isinstance(fallback, str)]
-            break
-
-        if item.get('type') == 'llm-model-selector' and isinstance(value, str):
-            primary_uuid = value
-            break
-
-    return primary_uuid, fallback_uuids
-
-
-def extract_knowledge_base_uuids(
-    descriptor: AgentRunnerDescriptor | None,
-    runner_config: dict[str, typing.Any],
-) -> list[str]:
-    """Extract configured knowledge-base UUIDs from schema-defined fields."""
-    if not uses_host_knowledge_bases(descriptor):
-        return []
-
-    kb_uuids: list[str] = []
-    for item in iter_schema_items(descriptor, KB_SELECTOR_TYPES):
-        field_name = item.get('name')
-        if not field_name:
-            continue
-        value = runner_config.get(field_name, item.get('default', []))
-        if isinstance(value, list):
-            kb_uuids.extend(
-                kb_uuid for kb_uuid in value if isinstance(kb_uuid, str) and kb_uuid not in NONE_SENTINELS
-            )
-
-    return list(dict.fromkeys(kb_uuids))
-
-
-def iter_config_model_refs(
-    descriptor: AgentRunnerDescriptor,
-    runner_config: dict[str, typing.Any],
-) -> typing.Iterator[tuple[str, str]]:
-    """Yield model references declared by schema-defined model selector fields."""
-    for item in descriptor.config_schema or []:
-        if not isinstance(item, dict):
-            continue
-
-        field_name = item.get('name')
-        field_type = item.get('type')
-        if not field_name or field_name not in runner_config:
-            continue
-
-        value = runner_config.get(field_name)
-        if field_type == 'model-fallback-selector':
-            if isinstance(value, str) and value not in NONE_SENTINELS:
-                yield 'llm', value
-            elif isinstance(value, dict):
-                primary = value.get('primary')
-                if isinstance(primary, str) and primary not in NONE_SENTINELS:
-                    yield 'llm', primary
-                fallbacks = value.get('fallbacks', [])
-                if isinstance(fallbacks, list):
-                    for fallback_uuid in fallbacks:
-                        if isinstance(fallback_uuid, str) and fallback_uuid not in NONE_SENTINELS:
-                            yield 'llm', fallback_uuid
-        elif field_type == 'llm-model-selector':
-            if isinstance(value, str) and value not in NONE_SENTINELS:
-                yield 'llm', value
-        elif field_type == 'rerank-model-selector':
-            if isinstance(value, str) and value not in NONE_SENTINELS:
-                yield 'rerank', value
-
-
-def set_empty_llm_model_selection(
-    descriptor: AgentRunnerDescriptor,
-    runner_config: dict[str, typing.Any],
-    model_uuid: str,
-) -> bool:
-    """Set the first empty schema-defined LLM selector to model_uuid."""
-    for item in iter_schema_items(descriptor, LLM_MODEL_SELECTOR_TYPES):
-        field_name = item.get('name')
-        field_type = item.get('type')
-        if not field_name:
-            continue
-
-        value = runner_config.get(field_name, item.get('default'))
-        if field_type == 'model-fallback-selector':
-            if isinstance(value, dict):
-                primary = value.get('primary') or ''
-                if primary not in NONE_SENTINELS:
-                    return False
-                fallbacks = value.get('fallbacks', [])
-                runner_config[field_name] = {
-                    'primary': model_uuid,
-                    'fallbacks': fallbacks if isinstance(fallbacks, list) else [],
-                }
-                return True
-            if isinstance(value, str) and value not in NONE_SENTINELS:
-                return False
-            runner_config[field_name] = {'primary': model_uuid, 'fallbacks': []}
-            return True
-
-        if field_type == 'llm-model-selector':
-            if isinstance(value, str) and value not in NONE_SENTINELS:
-                return False
-            runner_config[field_name] = model_uuid
-            return True
-
-    return False

src/langbot/pkg/agent/runner/context_builder.py

@@ -1,420 +0,0 @@
-"""Agent run context builder for provisioning AgentRunContext envelopes."""
-
-from __future__ import annotations
-
-import uuid
-import time
-import typing
-
-from ...core import app
-from .descriptor import AgentRunnerDescriptor
-from .persistent_state_store import get_persistent_state_store
-from .host_models import AgentEventEnvelope, AgentBinding
-
-
-DEFAULT_RUNNER_TIMEOUT_SECONDS = 300
-
-
-# Internal models for the agent runner context protocol.
-
-
-class AgentTrigger(typing.TypedDict):
-    """Agent trigger information."""
-
-    type: str
-    source: str
-    timestamp: int | None
-
-
-class ConversationContext(typing.TypedDict):
-    """Conversation context."""
-
-    conversation_id: str | None
-    thread_id: str | None
-    launcher_type: str | None
-    launcher_id: str | None
-    sender_id: str | None
-    bot_id: str | None
-    workspace_id: str | None
-    session_id: str | None
-
-
-class AgentInput(typing.TypedDict):
-    """Agent input."""
-
-    text: str | None
-    contents: list[dict[str, typing.Any]]
-    message_chain: dict[str, typing.Any] | None
-    attachments: list[dict[str, typing.Any]]
-
-
-class AgentRunState(typing.TypedDict):
-    """Agent run state with 4 scopes."""
-
-    conversation: dict[str, typing.Any]
-    actor: dict[str, typing.Any]
-    subject: dict[str, typing.Any]
-    runner: dict[str, typing.Any]
-
-
-# Resource payload models matching langbot-plugin-sdk/resources.py.
-
-
-class ModelResource(typing.TypedDict):
-    """Model resource payload."""
-
-    model_id: str
-    model_type: str | None
-    provider: str | None
-
-
-class ToolResource(typing.TypedDict):
-    """Tool resource payload."""
-
-    tool_name: str
-    tool_type: str | None
-    description: str | None
-
-
-class KnowledgeBaseResource(typing.TypedDict):
-    """Knowledge base resource payload."""
-
-    kb_id: str
-    kb_name: str | None
-    kb_type: str | None
-
-
-class FileResource(typing.TypedDict):
-    """File resource payload."""
-
-    file_id: str
-    file_name: str | None
-    mime_type: str | None
-    source: str | None
-
-
-class StorageResource(typing.TypedDict):
-    """Storage resource payload."""
-
-    plugin_storage: bool
-    workspace_storage: bool
-
-
-class AgentResources(typing.TypedDict):
-    """Agent resources payload."""
-
-    models: list[ModelResource]
-    tools: list[ToolResource]
-    knowledge_bases: list[KnowledgeBaseResource]
-    files: list[FileResource]
-    storage: StorageResource
-    platform_capabilities: dict[str, typing.Any]
-
-
-class AgentRuntimeContext(typing.TypedDict):
-    """Agent runtime context."""
-
-    langbot_version: str | None
-    sdk_protocol_version: str
-    trace_id: str | None
-    deadline_at: float | None
-    metadata: dict[str, typing.Any]
-
-
-class AgentRunContextPayload(typing.TypedDict):
-    """AgentRunContext payload passed to an agent runner.
-
-    Protocol v1 structure - matches SDK AgentRunContext.
-
-    Note: The 'config' field contains the current Agent/runner config
-    from ai.runner_config[runner_id] while the current Query entry remains
-    a temporary configuration container. It is not plugin instance config.
-    """
-
-    run_id: str
-    trigger: AgentTrigger
-    conversation: ConversationContext | None
-    event: dict[str, typing.Any]  # REQUIRED for Protocol v1
-    actor: dict[str, typing.Any] | None
-    subject: dict[str, typing.Any] | None
-    input: AgentInput
-    delivery: dict[str, typing.Any]  # REQUIRED for Protocol v1
-    resources: AgentResources
-    context: dict[str, typing.Any]  # ContextAccess - REQUIRED for Protocol v1
-    state: AgentRunState
-    runtime: AgentRuntimeContext
-    config: dict[str, typing.Any]  # Agent/runner config from ai.runner_config[runner_id]
-    adapter: dict[str, typing.Any] | None  # Entry adapter context
-    metadata: dict[str, typing.Any]  # Additional metadata
-
-
-class AgentRunContextBuilder:
-    """Builder for provisioning AgentRunContext.
-
-    Responsibilities:
-    - Generate new run_id (UUID, not query id)
-    - Set trigger type based on event source
-    - Build conversation context from event
-    - Build input from event
-    - Build state snapshot from PersistentStateStore
-    - Build runtime context with host info, trace_id, deadline
-    - Set config from current Agent/runner configuration.
-
-    Query adaptation belongs to QueryEntryAdapter, not this builder.
-    """
-
-    ap: app.Application
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-
-    async def build_context_from_event(
-        self,
-        event: AgentEventEnvelope,
-        binding: AgentBinding,
-        descriptor: AgentRunnerDescriptor,
-        resources: AgentResources,
-    ) -> AgentRunContextPayload:
-        """Build AgentRunContext from event-first envelope.
-
-        This is the main entry point for Protocol v1.
-        Does NOT inline full history by default.
-
-        Args:
-            event: Event envelope
-            binding: Agent binding
-            descriptor: Runner descriptor
-            resources: Built resources
-
-        Returns:
-            AgentRunContextPayload for the runner
-        """
-        # Generate new run_id
-        run_id = str(uuid.uuid4())
-
-        # Build trigger from event
-        trigger: AgentTrigger = {
-            'type': event.event_type,
-            'source': event.source,
-            'timestamp': event.event_time or int(time.time()),
-        }
-
-        # Build conversation context from event
-        conversation: ConversationContext | None = None
-        if event.conversation_id:
-            conversation = {
-                'session_id': None,
-                'conversation_id': event.conversation_id,
-                'thread_id': event.thread_id,
-                'launcher_type': None,  # Will be filled from actor/subject if needed
-                'launcher_id': None,
-                'sender_id': event.actor.actor_id if event.actor else None,
-                'bot_id': event.bot_id,
-                'workspace_id': event.workspace_id,
-            }
-
-        # Build event context (Protocol v1 event-first)
-        event_context = {
-            'event_id': event.event_id,
-            'event_type': event.event_type,
-            'event_time': event.event_time,
-            'source': event.source,
-            'source_event_type': event.source_event_type,
-            'raw_ref': event.raw_ref.model_dump(mode='json') if event.raw_ref else None,
-            'data': event.data,
-        }
-
-        # Build actor context
-        actor_context = None
-        if event.actor:
-            actor_context = {
-                'actor_type': event.actor.actor_type,
-                'actor_id': event.actor.actor_id,
-                'actor_name': event.actor.actor_name,
-            }
-
-        # Build subject context
-        subject_context = None
-        if event.subject:
-            subject_context = {
-                'subject_type': event.subject.subject_type,
-                'subject_id': event.subject.subject_id,
-                'data': event.subject.data,
-            }
-
-        # Build input from event
-        input: AgentInput = {
-            'text': event.input.text,
-            'contents': [c.model_dump(mode='json') if hasattr(c, 'model_dump') else c for c in event.input.contents],
-            'message_chain': event.input.message_chain,
-            'attachments': [
-                a.model_dump(mode='json') if hasattr(a, 'model_dump') else a for a in event.input.attachments
-            ],
-        }
-
-        # Build context access (no history inlined by default for Protocol v1)
-        # Populate with actual values from stores
-        context_access = await self._build_context_access(event, descriptor, binding)
-
-        # Build state snapshot from persistent state store (event-first Protocol v1)
-        persistent_state_store = get_persistent_state_store(self.ap.persistence_mgr.get_db_engine())
-        state: AgentRunState = await persistent_state_store.build_snapshot_from_event(event, binding, descriptor)
-
-        # Build runtime context
-        runtime: AgentRuntimeContext = {
-            'langbot_version': self.ap.ver_mgr.get_current_version(),
-            'sdk_protocol_version': descriptor.protocol_version,
-            'trace_id': run_id,
-            'deadline_at': self._build_deadline_from_binding(binding),
-            'metadata': {
-                'bot_id': event.bot_id,
-                'workspace_id': event.workspace_id,
-                'streaming_supported': event.delivery.supports_streaming,
-                'model_context_window_tokens': None,
-                # TODO(model-info): populate model_context_window_tokens after
-                # LiteLLM/model metadata lands. Runners fall back to their
-                # ctx.config until Host can provide the real window.
-            },
-        }
-
-        # Build delivery context
-        delivery_context = {
-            'surface': event.delivery.surface,
-            'reply_target': event.delivery.reply_target,
-            'supports_streaming': event.delivery.supports_streaming,
-            'supports_edit': event.delivery.supports_edit,
-            'supports_reaction': event.delivery.supports_reaction,
-            'max_message_size': event.delivery.max_message_size,
-            'platform_capabilities': event.delivery.platform_capabilities,
-        }
-
-        # Build adapter context (empty for event-first)
-        adapter_context = {
-            'extra': {},
-        }
-
-        # Build full context - Protocol v1 structure
-        context: AgentRunContextPayload = {
-            'run_id': run_id,
-            'trigger': trigger,
-            'conversation': conversation,
-            'event': event_context,  # REQUIRED
-            'actor': actor_context,
-            'subject': subject_context,
-            'input': input,
-            'delivery': delivery_context,  # REQUIRED
-            'resources': resources,
-            'context': context_access,  # ContextAccess - REQUIRED
-            'state': state,
-            'runtime': runtime,
-            'config': binding.runner_config,
-            'adapter': adapter_context,
-            'metadata': {},  # Additional metadata
-        }
-
-        return context
-
-    def _build_deadline_from_binding(self, binding: AgentBinding) -> float | None:
-        """Build deadline timestamp from binding timeout config.
-
-        Args:
-            binding: Agent binding with runner_config
-
-        Returns:
-            Deadline timestamp or None
-        """
-        timeout = binding.runner_config.get('timeout', DEFAULT_RUNNER_TIMEOUT_SECONDS)
-        if timeout is None:
-            return None
-
-        try:
-            timeout_seconds = float(timeout)
-        except (TypeError, ValueError):
-            return None
-
-        if timeout_seconds <= 0:
-            return None
-
-        return time.time() + timeout_seconds
-
-    async def _build_context_access(
-        self,
-        event: AgentEventEnvelope,
-        descriptor: AgentRunnerDescriptor,
-        binding: AgentBinding | None = None,
-    ) -> dict[str, typing.Any]:
-        """Build ContextAccess with actual values from stores.
-
-        Args:
-            event: Event envelope
-            descriptor: Runner descriptor
-            binding: Agent binding (required for state_policy in event-first mode)
-
-        Returns:
-            ContextAccess dict
-        """
-        conversation_id = event.conversation_id
-
-        # Check if history APIs are available for this runner
-        # Based on runner permissions
-        permissions = descriptor.permissions or {}
-        history_permissions = permissions.get('history', [])
-        event_permissions = permissions.get('events', [])
-        artifact_permissions = permissions.get('artifacts', [])
-
-        history_page_enabled = 'page' in history_permissions and conversation_id is not None
-        history_search_enabled = 'search' in history_permissions and conversation_id is not None
-        event_get_enabled = 'get' in event_permissions
-        event_page_enabled = 'page' in event_permissions and conversation_id is not None
-        artifact_metadata_enabled = 'metadata' in artifact_permissions
-        artifact_read_enabled = 'read' in artifact_permissions
-
-        # Determine state API availability based on binding state_policy.
-        state_enabled = False
-        if binding is not None:
-            state_policy = binding.state_policy
-            if state_policy.enable_state and state_policy.state_scopes:
-                state_enabled = True
-
-        # Get latest cursor and has_history_before if conversation exists
-        latest_cursor = None
-        has_history_before = False
-
-        if conversation_id:
-            try:
-                from .transcript_store import TranscriptStore
-
-                store = TranscriptStore(self.ap.persistence_mgr.get_db_engine())
-
-                latest_cursor = await store.get_latest_cursor(conversation_id)
-                if latest_cursor:
-                    has_history_before = True
-            except Exception as e:
-                self.ap.logger.warning(f'Failed to get transcript cursor: {e}')
-
-        return {
-            'conversation_id': conversation_id,
-            'thread_id': event.thread_id,
-            'latest_cursor': latest_cursor,
-            'event_seq': None,  # Will be populated when EventLog is written
-            'transcript_seq': int(latest_cursor) if latest_cursor else None,
-            'has_history_before': has_history_before,
-            'inline_policy': {
-                'mode': 'current_event',
-                'delivered_count': 0,
-                'source_total_count': None,
-                'messages_complete': False,
-                'reason': 'self_managed_context',
-            },
-            'available_apis': {
-                'history_page': history_page_enabled,
-                'history_search': history_search_enabled,
-                'event_get': event_get_enabled,
-                'event_page': event_page_enabled,
-                'artifact_metadata': artifact_metadata_enabled,
-                'artifact_read': artifact_read_enabled,
-                'state': state_enabled,
-                'storage': True,
-                'prompt_get': False,
-            },
-        }

src/langbot/pkg/agent/runner/descriptor.py

@@ -1,72 +0,0 @@
-"""Agent runner descriptor."""
-from __future__ import annotations
-
-import typing
-import pydantic
-
-
-class AgentRunnerDescriptor(pydantic.BaseModel):
-    """Descriptor for an agent runner.
-
-    Represents the discovered metadata for a runner, including
-    its identity, capabilities, permissions, and configuration schema.
-    """
-
-    id: str
-    """Unique runner ID: plugin:author/plugin_name/runner_name"""
-
-    source: typing.Literal['plugin']
-    """Runner source type"""
-
-    label: dict[str, str]
-    """Display labels keyed by locale (e.g., en_US, zh_Hans)"""
-
-    description: dict[str, str] | None = None
-    """Optional description keyed by locale"""
-
-    plugin_author: str
-    """Plugin author from manifest"""
-
-    plugin_name: str
-    """Plugin name from manifest"""
-
-    runner_name: str
-    """AgentRunner component name from manifest"""
-
-    plugin_version: str | None = None
-    """Optional plugin version"""
-
-    protocol_version: str = '1'
-    """SDK protocol version, default '1'"""
-
-    config_schema: list[dict[str, typing.Any]] = []
-    """Configuration schema using DynamicForm format"""
-
-    capabilities: dict[str, bool] = {}
-    """Runner capabilities: streaming, tool_calling, knowledge_retrieval, etc."""
-
-    permissions: dict[str, list[str]] = {}
-    """Requested permissions: models, tools, knowledge_bases, storage, files, platform_api"""
-
-    raw_manifest: dict[str, typing.Any] = {}
-    """Original manifest for reference"""
-
-    model_config = pydantic.ConfigDict(
-        extra='allow',
-    )
-
-    def get_plugin_id(self) -> str:
-        """Return plugin identifier as author/name."""
-        return f'{self.plugin_author}/{self.plugin_name}'
-
-    def supports_streaming(self) -> bool:
-        """Check if runner supports streaming output."""
-        return self.capabilities.get('streaming', False)
-
-    def supports_tool_calling(self) -> bool:
-        """Check if runner supports tool calling."""
-        return self.capabilities.get('tool_calling', False)
-
-    def supports_knowledge_retrieval(self) -> bool:
-        """Check if runner supports knowledge retrieval."""
-        return self.capabilities.get('knowledge_retrieval', False)

src/langbot/pkg/agent/runner/errors.py

@@ -1,37 +0,0 @@
-"""Agent runner errors."""
-from __future__ import annotations
-
-
-class AgentRunnerError(Exception):
-    """Base error for agent runner operations."""
-    pass
-
-
-class RunnerNotFoundError(AgentRunnerError):
-    """Runner not found in registry."""
-    def __init__(self, runner_id: str):
-        self.runner_id = runner_id
-        super().__init__(f'Agent runner not found: {runner_id}')
-
-
-class RunnerNotAuthorizedError(AgentRunnerError):
-    """Runner not authorized for this binding."""
-    def __init__(self, runner_id: str, bound_plugins: list[str] | None):
-        self.runner_id = runner_id
-        self.bound_plugins = bound_plugins
-        super().__init__(f'Agent runner {runner_id} not authorized for bound_plugins={bound_plugins}')
-
-
-class RunnerProtocolError(AgentRunnerError):
-    """Runner protocol version mismatch or invalid manifest."""
-    def __init__(self, runner_id: str, message: str):
-        self.runner_id = runner_id
-        super().__init__(f'Agent runner protocol error for {runner_id}: {message}')
-
-
-class RunnerExecutionError(AgentRunnerError):
-    """Runner execution failed."""
-    def __init__(self, runner_id: str, message: str, retryable: bool = False):
-        self.runner_id = runner_id
-        self.retryable = retryable
-        super().__init__(f'Agent runner {runner_id} execution failed: {message}')

src/langbot/pkg/agent/runner/event_log_store.py

@@ -1,255 +0,0 @@
-"""EventLog store for writing and querying event records."""
-from __future__ import annotations
-
-import json
-import datetime
-import typing
-import uuid
-
-import sqlalchemy
-from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
-from sqlalchemy.orm import sessionmaker
-
-from ...entity.persistence.event_log import EventLog
-
-
-class EventLogStore:
-    """Store for EventLog records.
-
-    Handles writing events to the event log and querying them.
-    All methods are async and use the provided database engine.
-    """
-
-    engine: AsyncEngine
-
-    # Hard limits
-    MAX_INPUT_SUMMARY_LENGTH = 1000
-
-    def __init__(self, engine: AsyncEngine):
-        self.engine = engine
-        self._session_factory = sessionmaker(
-            engine, class_=AsyncSession, expire_on_commit=False
-        )
-
-    async def append_event(
-        self,
-        event_id: str | None,
-        event_type: str,
-        source: str,
-        bot_id: str | None = None,
-        workspace_id: str | None = None,
-        conversation_id: str | None = None,
-        thread_id: str | None = None,
-        actor_type: str | None = None,
-        actor_id: str | None = None,
-        actor_name: str | None = None,
-        subject_type: str | None = None,
-        subject_id: str | None = None,
-        input_summary: str | None = None,
-        input_json: dict[str, typing.Any] | None = None,
-        raw_ref: str | None = None,
-        run_id: str | None = None,
-        runner_id: str | None = None,
-        event_time: datetime.datetime | None = None,
-        metadata: dict[str, typing.Any] | None = None,
-    ) -> str:
-        """Append an event to the event log.
-
-        Args:
-            event_id: Unique event ID (generated if None)
-            event_type: Event type
-            source: Event source
-            bot_id: Bot UUID
-            workspace_id: Workspace ID
-            conversation_id: Conversation ID
-            thread_id: Thread ID
-            actor_type: Actor type
-            actor_id: Actor ID
-            actor_name: Actor display name
-            subject_type: Subject type
-            subject_id: Subject ID
-            input_summary: Brief input summary
-            input_json: Full input JSON
-            raw_ref: Reference to raw event payload
-            run_id: Run ID processing this event
-            runner_id: Runner ID processing this event
-            event_time: When the event occurred
-            metadata: Additional metadata
-
-        Returns:
-            The event_id
-        """
-        if event_id is None:
-            event_id = str(uuid.uuid4())
-
-        # Truncate input summary if too long
-        if input_summary and len(input_summary) > self.MAX_INPUT_SUMMARY_LENGTH:
-            input_summary = input_summary[:self.MAX_INPUT_SUMMARY_LENGTH - 3] + "..."
-
-        async with self._session_factory() as session:
-            event = EventLog(
-                event_id=event_id,
-                event_type=event_type,
-                event_time=event_time,
-                source=source,
-                bot_id=bot_id,
-                workspace_id=workspace_id,
-                conversation_id=conversation_id,
-                thread_id=thread_id,
-                actor_type=actor_type,
-                actor_id=actor_id,
-                actor_name=actor_name,
-                subject_type=subject_type,
-                subject_id=subject_id,
-                input_summary=input_summary,
-                input_json=json.dumps(input_json) if input_json else None,
-                raw_ref=raw_ref,
-                run_id=run_id,
-                runner_id=runner_id,
-                metadata_json=json.dumps(metadata) if metadata else None,
-                created_at=datetime.datetime.utcnow(),
-            )
-            session.add(event)
-            await session.commit()
-
-        return event_id
-
-    async def get_event(
-        self,
-        event_id: str,
-    ) -> dict[str, typing.Any] | None:
-        """Get a single event by ID.
-
-        Args:
-            event_id: Event ID
-
-        Returns:
-            Event record as dict, or None if not found
-        """
-        async with self._session_factory() as session:
-            result = await session.execute(
-                sqlalchemy.select(EventLog).where(EventLog.event_id == event_id)
-            )
-            row = result.scalars().first()
-            if row is None:
-                return None
-            return self._row_to_dict(row)
-
-    async def page_events(
-        self,
-        conversation_id: str | None = None,
-        event_types: list[str] | None = None,
-        before_seq: int | None = None,
-        limit: int = 50,
-    ) -> tuple[list[dict[str, typing.Any]], int | None, bool]:
-        """Page through event records.
-
-        Args:
-            conversation_id: Filter by conversation ID
-            event_types: Filter by event types
-            before_seq: Get events before this sequence number
-            limit: Maximum items to return (capped at 100)
-
-        Returns:
-            Tuple of (items, next_seq, has_more)
-        """
-        limit = min(limit, 100)  # Hard cap
-
-        async with self._session_factory() as session:
-            query = sqlalchemy.select(EventLog)
-
-            if conversation_id is not None:
-                query = query.where(EventLog.conversation_id == conversation_id)
-
-            if event_types:
-                query = query.where(EventLog.event_type.in_(event_types))
-
-            if before_seq is not None:
-                query = query.where(EventLog.id < before_seq)
-
-            query = query.order_by(EventLog.id.desc()).limit(limit + 1)
-
-            result = await session.execute(query)
-            rows = result.scalars().all()
-
-            items = [self._row_to_dict(row) for row in rows[:limit]]
-            has_more = len(rows) > limit
-            next_seq = items[-1]['id'] if items and has_more else None
-
-            return items, next_seq, has_more
-
-    async def get_latest_cursor(
-        self,
-        conversation_id: str,
-    ) -> str | None:
-        """Get the latest cursor for a conversation.
-
-        Args:
-            conversation_id: Conversation ID
-
-        Returns:
-            Cursor string (seq number), or None if no events
-        """
-        async with self._session_factory() as session:
-            result = await session.execute(
-                sqlalchemy.select(EventLog.id)
-                .where(EventLog.conversation_id == conversation_id)
-                .order_by(EventLog.id.desc())
-                .limit(1)
-            )
-            row = result.scalars().first()
-            if row is None:
-                return None
-            return str(row)
-
-    async def has_events_before(
-        self,
-        conversation_id: str,
-        seq: int,
-    ) -> bool:
-        """Check if there are events before a sequence number.
-
-        Args:
-            conversation_id: Conversation ID
-            seq: Sequence number
-
-        Returns:
-            True if there are events before
-        """
-        async with self._session_factory() as session:
-            result = await session.execute(
-                sqlalchemy.select(sqlalchemy.func.count())
-                .select_from(EventLog)
-                .where(
-                    EventLog.conversation_id == conversation_id,
-                    EventLog.id < seq,
-                )
-            )
-            count = result.scalar()
-            return count > 0
-
-    def _row_to_dict(self, row: EventLog) -> dict[str, typing.Any]:
-        """Convert an EventLog row to dict."""
-        return {
-            'id': row.id,
-            'event_id': row.event_id,
-            'event_type': row.event_type,
-            'event_time': int(row.event_time.timestamp()) if row.event_time else None,
-            'source': row.source,
-            'bot_id': row.bot_id,
-            'workspace_id': row.workspace_id,
-            'conversation_id': row.conversation_id,
-            'thread_id': row.thread_id,
-            'actor_type': row.actor_type,
-            'actor_id': row.actor_id,
-            'actor_name': row.actor_name,
-            'subject_type': row.subject_type,
-            'subject_id': row.subject_id,
-            'input_summary': row.input_summary,
-            'input_json': json.loads(row.input_json) if row.input_json else None,
-            'raw_ref': row.raw_ref,
-            'run_id': row.run_id,
-            'runner_id': row.runner_id,
-            'created_at': int(row.created_at.timestamp()) if row.created_at else None,
-            'metadata': json.loads(row.metadata_json) if row.metadata_json else {},
-        }

src/langbot/pkg/agent/runner/events.py

@@ -1,25 +0,0 @@
-"""Canonical AgentRunner event names reserved for future EBA integration."""
-from __future__ import annotations
-
-
-MESSAGE_RECEIVED = 'message.received'
-"""A normal message entered the current Pipeline."""
-
-MESSAGE_RECALLED = 'message.recalled'
-"""A platform message was recalled or deleted."""
-
-GROUP_MEMBER_JOINED = 'group.member_joined'
-"""A new member joined a group/channel conversation."""
-
-FRIEND_REQUEST_RECEIVED = 'friend.request_received'
-"""A new friend/contact request was received."""
-
-
-RESERVED_EVENT_TYPES = frozenset(
-    {
-        MESSAGE_RECEIVED,
-        MESSAGE_RECALLED,
-        GROUP_MEMBER_JOINED,
-        FRIEND_REQUEST_RECEIVED,
-    }
-)

src/langbot/pkg/agent/runner/host_models.py

@@ -1,207 +0,0 @@
-"""Agent event envelope and binding models for LangBot Host.
-
-These are Host-internal models, not exposed to SDK.
-"""
-from __future__ import annotations
-
-import typing
-import pydantic
-
-from langbot_plugin.api.entities.builtin.agent_runner.event import (
-    ActorContext,
-    SubjectContext,
-    RawEventRef,
-)
-from langbot_plugin.api.entities.builtin.agent_runner.input import AgentInput
-from langbot_plugin.api.entities.builtin.agent_runner.delivery import DeliveryContext
-
-
-class AgentEventEnvelope(pydantic.BaseModel):
-    """Event envelope for LangBot Host event gateway.
-
-    This is the unified input model that replaces Query-first approach.
-    IM / WebUI / API / EventRouter all produce this envelope.
-    """
-
-    event_id: str
-    """Unique event identifier."""
-
-    event_type: str
-    """Event type (message.received, message.recalled, etc.)."""
-
-    event_time: int | None = None
-    """Event timestamp (epoch seconds)."""
-
-    source: str
-    """Event source (platform, webui, api, scheduler, system)."""
-
-    source_event_type: str | None = None
-    """Original source event type, when available."""
-
-    bot_id: str | None = None
-    """Bot UUID handling this event."""
-
-    workspace_id: str | None = None
-    """Workspace ID (for multi-tenant)."""
-
-    conversation_id: str | None = None
-    """Conversation ID."""
-
-    thread_id: str | None = None
-    """Thread ID (for platforms supporting threads)."""
-
-    actor: ActorContext | None = None
-    """Actor (who triggered the event)."""
-
-    subject: SubjectContext | None = None
-    """Subject (what the event is about)."""
-
-    input: AgentInput
-    """Event input."""
-
-    delivery: DeliveryContext
-    """Delivery context."""
-
-    raw_ref: RawEventRef | None = None
-    """Reference to raw event payload."""
-
-    data: dict[str, typing.Any] = pydantic.Field(default_factory=dict)
-    """Small structured event payload. Large payloads should be referenced via raw_ref/artifacts."""
-
-
-# Binding scope types
-class BindingScope(pydantic.BaseModel):
-    """Scope for agent binding."""
-
-    scope_type: typing.Literal["agent", "bot", "workspace", "global"] = "agent"
-    """Scope type."""
-
-    scope_id: str | None = None
-    """Scope identifier (agent_id, bot_uuid, etc.)."""
-
-
-class ResourcePolicy(pydantic.BaseModel):
-    """Resource policy for agent binding.
-
-    Controls what resources the runner can access.
-    """
-
-    allowed_model_uuids: list[str] | None = None
-    """Additional model UUID grants. None means no additional model grants."""
-
-    allowed_tool_names: list[str] | None = None
-    """Additional tool name grants. None means no additional tool grants."""
-
-    allowed_kb_uuids: list[str] | None = None
-    """Additional knowledge base UUID grants. None means no additional KB grants."""
-
-    allow_plugin_storage: bool = True
-    """Whether plugin storage is allowed."""
-
-    allow_workspace_storage: bool = False
-    """Whether workspace storage is allowed."""
-
-
-class StatePolicy(pydantic.BaseModel):
-    """State policy for agent binding.
-
-    Controls state management behavior.
-    """
-
-    enable_state: bool = True
-    """Whether host-owned state is enabled."""
-
-    state_scopes: list[typing.Literal["conversation", "actor", "subject", "runner"]] = (
-        pydantic.Field(default_factory=lambda: ["conversation", "actor"])
-    )
-    """Enabled state scopes."""
-
-
-class DeliveryPolicy(pydantic.BaseModel):
-    """Delivery policy for agent binding.
-
-    Controls how results are delivered.
-    """
-
-    enable_streaming: bool = True
-    """Whether streaming output is enabled."""
-
-    enable_reply: bool = True
-    """Whether reply is enabled."""
-
-    max_message_size: int | None = None
-    """Maximum message size."""
-
-
-class AgentConfig(pydantic.BaseModel):
-    """Host-side Agent configuration.
-
-    Product-level Agent is the target replacement for Pipeline-owned agent
-    config. Current Pipeline entry paths can project their config into this
-    model during migration.
-    """
-
-    agent_id: str | None = None
-    """Host-side Agent/config identifier."""
-
-    runner_id: str
-    """Runner ID to invoke."""
-
-    runner_config: dict[str, typing.Any] = pydantic.Field(default_factory=dict)
-    """Agent/runner binding configuration."""
-
-    resource_policy: ResourcePolicy = pydantic.Field(default_factory=ResourcePolicy)
-    """Resource policy for this Agent."""
-
-    state_policy: StatePolicy = pydantic.Field(default_factory=StatePolicy)
-    """State policy for this Agent."""
-
-    delivery_policy: DeliveryPolicy = pydantic.Field(default_factory=DeliveryPolicy)
-    """Delivery policy for this Agent."""
-
-    event_types: list[str] = pydantic.Field(default_factory=lambda: ["message.received"])
-    """Event types this Agent handles."""
-
-    enabled: bool = True
-    """Whether this Agent can be selected by a binding resolver."""
-
-    metadata: dict[str, typing.Any] = pydantic.Field(default_factory=dict)
-    """Non-protocol diagnostic metadata, such as legacy config source."""
-
-
-class AgentBinding(pydantic.BaseModel):
-    """Binding configuration for mapping events to runners.
-
-    This is Host-internal model for event-to-runner binding.
-    It replaces the old Pipeline runner config role.
-    """
-
-    binding_id: str
-    """Unique binding identifier."""
-
-    scope: BindingScope = pydantic.Field(default_factory=BindingScope)
-    """Binding scope."""
-
-    event_types: list[str] = pydantic.Field(default_factory=lambda: ["message.received"])
-    """Event types this binding handles."""
-
-    runner_id: str
-    """Runner ID to invoke."""
-
-    runner_config: dict[str, typing.Any] = pydantic.Field(default_factory=dict)
-    """Current Agent/runner configuration."""
-
-    resource_policy: ResourcePolicy = pydantic.Field(default_factory=ResourcePolicy)
-    """Resource policy."""
-
-    state_policy: StatePolicy = pydantic.Field(default_factory=StatePolicy)
-    """State policy."""
-
-    delivery_policy: DeliveryPolicy = pydantic.Field(default_factory=DeliveryPolicy)
-    """Delivery policy."""
-
-    enabled: bool = True
-    """Whether binding is enabled."""
-
-    agent_id: str | None = None
-    """Host-side Agent/config identifier for this binding."""

src/langbot/pkg/agent/runner/id.py

@@ -1,91 +0,0 @@
-"""Agent runner ID parsing and formatting."""
-from __future__ import annotations
-
-import dataclasses
-
-
-@dataclasses.dataclass(frozen=True)
-class RunnerIdParts:
-    """Parsed runner ID components."""
-    source: str  # 'plugin' (future: 'builtin')
-    plugin_author: str
-    plugin_name: str
-    runner_name: str
-
-    def to_plugin_id(self) -> str:
-        """Return plugin identifier as author/name."""
-        return f'{self.plugin_author}/{self.plugin_name}'
-
-
-def parse_runner_id(runner_id: str) -> RunnerIdParts:
-    """Parse runner ID string into components.
-
-    Args:
-        runner_id: Runner ID in format 'plugin:author/plugin_name/runner_name'
-
-    Returns:
-        RunnerIdParts with parsed components
-
-    Raises:
-        ValueError: If runner_id format is invalid
-    """
-    if runner_id.startswith('plugin:'):
-        parts = runner_id[7:].split('/')
-        if len(parts) != 3:
-            raise ValueError(
-                f'Invalid plugin runner ID format: {runner_id}. '
-                f'Expected: plugin:author/plugin_name/runner_name'
-            )
-        plugin_author, plugin_name, runner_name = parts
-        if not plugin_author or not plugin_name or not runner_name:
-            raise ValueError(
-                f'Invalid plugin runner ID: {runner_id}. '
-                f'author, plugin_name, and runner_name must be non-empty'
-            )
-        return RunnerIdParts(
-            source='plugin',
-            plugin_author=plugin_author,
-            plugin_name=plugin_name,
-            runner_name=runner_name,
-        )
-    else:
-        # Only plugin runner IDs are valid at the protocol boundary.
-        raise ValueError(
-            f'Invalid runner ID format: {runner_id}. '
-            f'Expected: plugin:author/plugin_name/runner_name'
-        )
-
-
-def format_runner_id(
-    source: str,
-    plugin_author: str,
-    plugin_name: str,
-    runner_name: str,
-) -> str:
-    """Format runner ID from components.
-
-    Args:
-        source: Runner source ('plugin')
-        plugin_author: Plugin author
-        plugin_name: Plugin name
-        runner_name: Runner component name
-
-    Returns:
-        Runner ID string
-    """
-    if source == 'plugin':
-        return f'plugin:{plugin_author}/{plugin_name}/{runner_name}'
-    else:
-        raise ValueError(f'Invalid runner source: {source}')
-
-
-def is_plugin_runner_id(runner_id: str) -> bool:
-    """Check if runner ID is a plugin runner.
-
-    Args:
-        runner_id: Runner ID string
-
-    Returns:
-        True if runner ID starts with 'plugin:'
-    """
-    return runner_id.startswith('plugin:')

src/langbot/pkg/agent/runner/orchestrator.py

@@ -1,888 +0,0 @@
-"""Agent run orchestrator for coordinating runner execution."""
-from __future__ import annotations
-
-import typing
-import traceback
-import asyncio
-import time
-
-from langbot_plugin.api.entities.builtin.provider import message as provider_message
-from langbot_plugin.api.entities.builtin.pipeline import query as pipeline_query
-from langbot_plugin.entities.io.errors import ActionCallTimeoutError
-
-from ...core import app
-from .descriptor import AgentRunnerDescriptor
-from .registry import AgentRunnerRegistry
-from .context_builder import AgentRunContextBuilder, AgentRunContextPayload
-from .resource_builder import AgentResourceBuilder
-from .result_normalizer import AgentResultNormalizer
-from .persistent_state_store import get_persistent_state_store, PersistentStateStore
-from .session_registry import get_session_registry, AgentRunSessionRegistry
-from .config_migration import ConfigMigration
-from .host_models import AgentEventEnvelope, AgentBinding
-from .query_entry_adapter import QueryEntryAdapter
-from .binding_resolver import AgentBindingResolver
-from .state_scope import build_state_context
-from .errors import (
-    RunnerNotFoundError,
-    RunnerExecutionError,
-    RunnerProtocolError,
-)
-
-
-# Maximum inline artifact content size (1MB)
-MAX_ARTIFACT_INLINE_BYTES = 1 * 1024 * 1024
-
-
-class AgentRunOrchestrator:
-    """Orchestrator for agent runner execution.
-
-    Responsibilities:
-    - Resolve runner ID from current Agent/runner config
-    - Get runner descriptor from registry
-    - Provision AgentRunContext envelope from Query
-    - Build AgentResources with permission filtering
-    - Invoke plugin runtime RUN_AGENT action
-    - Normalize AgentRunResult to Pipeline messages
-    - Handle errors, timeouts, protocol errors
-    - Maintain streaming card behavior
-
-    Entry points:
-    - run(event, binding): Main entry for event-first Protocol v1
-    - run_from_query(query): current Query entry adapter wrapper
-    """
-
-    ap: app.Application
-
-    registry: AgentRunnerRegistry
-
-    context_builder: AgentRunContextBuilder
-
-    resource_builder: AgentResourceBuilder
-
-    result_normalizer: AgentResultNormalizer
-
-    binding_resolver: AgentBindingResolver
-
-    # Cached singleton references (set in __init__)
-    _session_registry: AgentRunSessionRegistry
-    _persistent_state_store: PersistentStateStore | None
-
-    def __init__(
-        self,
-        ap: app.Application,
-        registry: AgentRunnerRegistry,
-    ):
-        self.ap = ap
-        self.registry = registry
-        self.context_builder = AgentRunContextBuilder(ap)
-        self.resource_builder = AgentResourceBuilder(ap)
-        self.result_normalizer = AgentResultNormalizer(ap)
-        self.binding_resolver = AgentBindingResolver()
-        # Cache singleton references to avoid per-request getter calls
-        self._session_registry = get_session_registry()
-        self._persistent_state_store = None  # Lazy init on first use
-
-    async def run(
-        self,
-        event: AgentEventEnvelope,
-        binding: AgentBinding,
-        bound_plugins: list[str] | None = None,
-        adapter_context: dict[str, typing.Any] | None = None,
-    ) -> typing.AsyncGenerator[provider_message.Message | provider_message.MessageChunk, None]:
-        """Run agent runner from event-first envelope.
-
-        This is the main entry point for Protocol v1.
-        Event Gateway -> AgentBindingResolver -> run(event, binding).
-
-        Args:
-            event: Event envelope from event gateway
-            binding: Agent binding
-            bound_plugins: Optional list of bound plugin identities for authorization
-            adapter_context: Optional context from an entry adapter
-
-        Yields:
-            Message or MessageChunk for pipeline response
-
-        Raises:
-            RunnerNotFoundError: If runner not found
-            RunnerNotAuthorizedError: If runner not authorized
-            RunnerExecutionError: If runner execution failed
-        """
-        runner_id = binding.runner_id
-
-        # Get runner descriptor
-        descriptor = await self.registry.get(runner_id, bound_plugins)
-
-        # Build resources from binding
-        resources = await self.resource_builder.build_resources_from_binding(
-            event=event,
-            binding=binding,
-            descriptor=descriptor,
-        )
-
-        # Build context from event + binding
-        context = await self.context_builder.build_context_from_event(
-            event=event,
-            binding=binding,
-            descriptor=descriptor,
-            resources=resources,
-        )
-
-        session_query_id = None
-
-        # Merge adapter context if provided
-        if adapter_context:
-            session_query_id = adapter_context.get('query_id')
-            # Merge params into adapter.extra
-            if 'params' in adapter_context:
-                context['adapter']['extra']['params'] = adapter_context['params']
-            if adapter_context.get('prompt_get'):
-                context['context']['available_apis']['prompt_get'] = True
-
-        # Build state context for State API handlers
-        state_context = build_state_context(event, binding, descriptor)
-
-        # Register session for proxy action permission validation
-        run_id = context['run_id']
-        await self._session_registry.register(
-            run_id=run_id,
-            runner_id=descriptor.id,
-            query_id=session_query_id,
-            plugin_identity=descriptor.get_plugin_id(),
-            resources=resources,
-            permissions=descriptor.permissions or {},
-            conversation_id=event.conversation_id,
-            state_policy={
-                'enable_state': binding.state_policy.enable_state,
-                'state_scopes': list(binding.state_policy.state_scopes),
-            },
-            state_context=state_context,
-        )
-
-        # Write incoming event to EventLog
-        event_log_id = await self._write_event_log(
-            event=event,
-            binding=binding,
-            run_id=run_id,
-            runner_id=descriptor.id,
-        )
-
-        # Register incoming attachments so input/transcript artifact_refs are resolvable.
-        await self._register_input_artifacts(
-            event=event,
-            run_id=run_id,
-            runner_id=descriptor.id,
-        )
-
-        # Write user message to Transcript if message.received
-        if event.event_type == 'message.received' and event.conversation_id:
-            await self._write_user_transcript(
-                event=event,
-                event_log_id=event_log_id,
-            )
-
-        # Track artifact refs for assistant transcript (cleared after each message.completed)
-        pending_artifact_refs: list[dict[str, typing.Any]] = []
-
-        try:
-            # Run via plugin connector
-            async for result_dict in self._invoke_runner(descriptor, context):
-                # Handle artifact.created first - consume before normalizer
-                if result_dict.get('type') == 'artifact.created':
-                    artifact_ref = await self._handle_artifact_created(
-                        result_dict=result_dict,
-                        event=event,
-                        run_id=run_id,
-                        runner_id=descriptor.id,
-                    )
-                    pending_artifact_refs.append(artifact_ref)
-                    # Pass to normalizer for logging, but don't yield to pipeline
-                    await self.result_normalizer.normalize(result_dict, descriptor)
-                    continue
-
-                # Handle state.updated first - consume before normalizer
-                if result_dict.get('type') == 'state.updated':
-                    await self._handle_state_updated_event(result_dict, event, binding, descriptor)
-                    # Pass to normalizer for logging, but don't yield to pipeline
-                    await self.result_normalizer.normalize(result_dict, descriptor)
-                    continue
-
-                # Handle message.completed - write to Transcript
-                if result_dict.get('type') == 'message.completed' and event.conversation_id:
-                    # Merge pending artifact refs with message's own refs
-                    merged_refs = self._merge_artifact_refs(
-                        pending_artifact_refs,
-                        result_dict,
-                    )
-                    # Clear pending refs after attaching to this message
-                    pending_artifact_refs.clear()
-
-                    await self._write_assistant_transcript(
-                        result_dict=result_dict,
-                        event=event,
-                        run_id=run_id,
-                        runner_id=descriptor.id,
-                        artifact_refs=merged_refs if merged_refs else None,
-                    )
-
-                # Normalize result for other types
-                result = await self.result_normalizer.normalize(result_dict, descriptor)
-                if result is not None:
-                    yield result
-        finally:
-            # Unregister session after run completes (success or error)
-            await self._session_registry.unregister(run_id)
-
-    async def run_from_query(
-        self,
-        query: pipeline_query.Query,
-    ) -> typing.AsyncGenerator[provider_message.Message | provider_message.MessageChunk, None]:
-        """Run agent runner from pipeline query.
-
-        This is the Query entry adapter wrapper for the query-based flow.
-        It delegates to the event-first run(event, binding) method.
-
-        For the new event-first Protocol v1, use run(event, binding) instead.
-
-        Args:
-            query: Pipeline query with pipeline_config, session, messages, etc.
-
-        Yields:
-            Message or MessageChunk for pipeline response
-
-        Raises:
-            RunnerNotFoundError: If runner not found
-            RunnerNotAuthorizedError: If runner not authorized
-            RunnerExecutionError: If runner execution failed
-        """
-        # Resolve runner ID using ConfigMigration
-        runner_id = ConfigMigration.resolve_runner_id(query.pipeline_config)
-        if not runner_id:
-            raise RunnerNotFoundError('no runner configured')
-
-        # Convert Query to event-first envelope
-        event = QueryEntryAdapter.query_to_event(query)
-
-        # Project legacy Pipeline config into target Agent config, then resolve
-        # exactly one effective binding for this event.
-        agent_config = QueryEntryAdapter.config_to_agent_config(query, runner_id)
-        binding = self.binding_resolver.resolve_one(event, [agent_config])
-
-        # Extract bound plugins for authorization
-        bound_plugins = query.variables.get('_pipeline_bound_plugins')
-
-        # Build adapter context for Query-specific fields
-        adapter_context = QueryEntryAdapter.build_adapter_context(query, binding)
-
-        # Delegate to event-first run()
-        async for result in self.run(
-            event,
-            binding,
-            bound_plugins=bound_plugins,
-            adapter_context=adapter_context,
-        ):
-            yield result
-
-    async def _invoke_runner(
-        self,
-        descriptor: AgentRunnerDescriptor,
-        context: AgentRunContextPayload,
-    ) -> typing.AsyncGenerator[dict[str, typing.Any], None]:
-        """Invoke runner via plugin connector.
-
-        Args:
-            descriptor: Runner descriptor
-            context: AgentRunContext dict
-
-        Yields:
-            Raw result dicts from plugin runtime
-
-        Raises:
-            RunnerExecutionError: If plugin system disabled or runtime error
-        """
-        if not self.ap.plugin_connector.is_enable_plugin:
-            raise RunnerExecutionError(
-                descriptor.id,
-                'Plugin system is disabled',
-                retryable=False,
-            )
-
-        try:
-            gen = self.ap.plugin_connector.run_agent(
-                plugin_author=descriptor.plugin_author,
-                plugin_name=descriptor.plugin_name,
-                runner_name=descriptor.runner_name,
-                context=context,
-            )
-
-            while True:
-                try:
-                    result_dict = await self._next_with_deadline(gen, descriptor, context)
-                except StopAsyncIteration:
-                    break
-                yield result_dict
-
-        except asyncio.TimeoutError as e:
-            raise RunnerExecutionError(
-                descriptor.id,
-                'Runner timed out (code: runner.timeout)',
-                retryable=True,
-            ) from e
-        except ActionCallTimeoutError as e:
-            raise RunnerExecutionError(
-                descriptor.id,
-                f'{e} (code: runner.timeout)',
-                retryable=True,
-            ) from e
-        except RunnerExecutionError:
-            raise
-        except Exception as e:
-            # Wrap unexpected errors
-            self.ap.logger.error(
-                f'Runner {descriptor.id} unexpected error: {traceback.format_exc()}'
-            )
-            raise RunnerExecutionError(
-                descriptor.id,
-                str(e),
-                retryable=False,
-            )
-
-    async def _next_with_deadline(
-        self,
-        gen: typing.AsyncGenerator[dict[str, typing.Any], None],
-        descriptor: AgentRunnerDescriptor,
-        context: AgentRunContextPayload,
-    ) -> dict[str, typing.Any]:
-        """Read the next runner result while enforcing the run deadline."""
-        remaining = self._remaining_deadline_seconds(context)
-        if remaining is not None and remaining <= 0:
-            await self._close_generator(gen, descriptor)
-            raise asyncio.TimeoutError
-
-        try:
-            if remaining is None:
-                return await anext(gen)
-            return await asyncio.wait_for(anext(gen), timeout=remaining)
-        except StopAsyncIteration:
-            if self._is_deadline_exhausted(context):
-                raise asyncio.TimeoutError
-            raise
-        except asyncio.TimeoutError:
-            await self._close_generator(gen, descriptor)
-            raise
-
-    def _remaining_deadline_seconds(
-        self,
-        context: AgentRunContextPayload,
-    ) -> float | None:
-        runtime = context.get('runtime') or {}
-        deadline_at = runtime.get('deadline_at')
-        if deadline_at is None:
-            return None
-        try:
-            return float(deadline_at) - time.time()
-        except (TypeError, ValueError):
-            return None
-
-    def _is_deadline_exhausted(self, context: AgentRunContextPayload) -> bool:
-        remaining = self._remaining_deadline_seconds(context)
-        return remaining is not None and remaining <= 0
-
-    async def _close_generator(
-        self,
-        gen: typing.AsyncGenerator[dict[str, typing.Any], None],
-        descriptor: AgentRunnerDescriptor,
-    ) -> None:
-        try:
-            await gen.aclose()
-        except Exception as e:
-            self.ap.logger.warning(f'Failed to close timed-out runner {descriptor.id}: {e}')
-
-    def resolve_runner_id_for_telemetry(self, query: pipeline_query.Query) -> str | None:
-        """Resolve runner ID for telemetry/logging without full execution.
-
-        Args:
-            query: Pipeline query
-
-        Returns:
-            Runner ID string, or None
-        """
-        return ConfigMigration.resolve_runner_id(query.pipeline_config)
-
-    async def _handle_state_updated_event(
-        self,
-        result_dict: dict[str, typing.Any],
-        event: AgentEventEnvelope,
-        binding: AgentBinding,
-        descriptor: AgentRunnerDescriptor,
-    ) -> None:
-        """Handle state.updated result in event-first mode.
-
-        Persists state to database via PersistentStateStore.
-
-        Args:
-            result_dict: Raw result dict with type='state.updated'
-            event: Event envelope
-            binding: Agent binding
-            descriptor: Runner descriptor
-        """
-        data = result_dict.get('data', {})
-
-        scope = data.get('scope')
-        if not scope:
-            raise RunnerProtocolError(
-                descriptor.id,
-                'state.updated missing required field: scope',
-            )
-
-        # Extract key and value
-        key = data.get('key')
-        value = data.get('value')
-
-        if not key:
-            raise RunnerProtocolError(
-                descriptor.id,
-                'state.updated missing required field: key',
-            )
-
-        # Lazy init persistent state store
-        if self._persistent_state_store is None:
-            self._persistent_state_store = get_persistent_state_store(
-                self.ap.persistence_mgr.get_db_engine()
-            )
-
-        # Apply update to persistent state store
-        success, error = await self._persistent_state_store.apply_update_from_event(
-            event=event,
-            binding=binding,
-            descriptor=descriptor,
-            scope=scope,
-            key=key,
-            value=value,
-            logger=self.ap.logger,
-        )
-
-        if success:
-            self.ap.logger.debug(
-                f'Runner {descriptor.id} state.updated (event mode): scope={scope}, key={key}'
-            )
-        elif error:
-            self.ap.logger.warning(
-                f'Runner {descriptor.id} state.updated rejected: {error}'
-            )
-
-    async def _write_event_log(
-        self,
-        event: AgentEventEnvelope,
-        binding: AgentBinding,
-        run_id: str,
-        runner_id: str,
-    ) -> str:
-        """Write incoming event to EventLog.
-
-        Args:
-            event: Event envelope
-            binding: Agent binding
-            run_id: Run ID
-            runner_id: Runner ID
-
-        Returns:
-            Event log ID
-        """
-        import datetime
-
-        from .event_log_store import EventLogStore
-        store = EventLogStore(self.ap.persistence_mgr.get_db_engine())
-
-        # Build input summary
-        input_summary = None
-        input_json = None
-        if event.input:
-            if event.input.text:
-                input_summary = event.input.text[:1000]
-            input_json = {
-                'text': event.input.text,
-                'contents': [c.model_dump(mode='json') if hasattr(c, 'model_dump') else c for c in event.input.contents],
-                'attachments': [a.model_dump(mode='json') if hasattr(a, 'model_dump') else a for a in event.input.attachments],
-            }
-
-        return await store.append_event(
-            event_id=event.event_id,
-            event_type=event.event_type,
-            source=event.source,
-            bot_id=event.bot_id,
-            workspace_id=event.workspace_id,
-            conversation_id=event.conversation_id,
-            thread_id=event.thread_id,
-            actor_type=event.actor.actor_type if event.actor else None,
-            actor_id=event.actor.actor_id if event.actor else None,
-            actor_name=event.actor.actor_name if event.actor else None,
-            subject_type=event.subject.subject_type if event.subject else None,
-            subject_id=event.subject.subject_id if event.subject else None,
-            input_summary=input_summary,
-            input_json=input_json,
-            run_id=run_id,
-            runner_id=runner_id,
-            event_time=datetime.datetime.fromtimestamp(event.event_time) if event.event_time else None,
-        )
-
-    async def _register_input_artifacts(
-        self,
-        event: AgentEventEnvelope,
-        run_id: str,
-        runner_id: str,
-    ) -> None:
-        """Register current-event attachments referenced by AgentInput."""
-        if not event.input or not event.input.attachments:
-            return
-
-        from .artifact_store import ArtifactStore
-        store = ArtifactStore(self.ap.persistence_mgr.get_db_engine())
-
-        for attachment in event.input.attachments:
-            data = attachment.model_dump(mode='json') if hasattr(attachment, 'model_dump') else attachment
-            if not isinstance(data, dict):
-                continue
-
-            artifact_id = data.get('artifact_id')
-            artifact_type = data.get('artifact_type') or 'file'
-            if not artifact_id:
-                continue
-
-            content, parsed_mime_type = self._decode_attachment_content(data.get('content'))
-            url = data.get('url')
-            platform_ref_id = data.get('id')
-            storage_key = None
-            storage_type = 'metadata_only'
-            if content is None:
-                if url:
-                    storage_key = url
-                    storage_type = 'url'
-                elif platform_ref_id:
-                    storage_key = platform_ref_id
-                    storage_type = 'platform_ref'
-
-            metadata = {
-                'input_attachment': True,
-                'input_source': data.get('source') or 'platform',
-            }
-            if url:
-                metadata['url'] = url
-            if platform_ref_id:
-                metadata['platform_ref_id'] = platform_ref_id
-
-            try:
-                await store.register_artifact(
-                    artifact_id=artifact_id,
-                    artifact_type=artifact_type,
-                    source='platform',
-                    storage_key=storage_key,
-                    storage_type=storage_type,
-                    mime_type=data.get('mime_type') or parsed_mime_type,
-                    name=data.get('name'),
-                    size_bytes=data.get('size') or (len(content) if content is not None else None),
-                    conversation_id=event.conversation_id,
-                    run_id=run_id,
-                    runner_id=runner_id,
-                    bot_id=event.bot_id,
-                    workspace_id=event.workspace_id,
-                    metadata=metadata,
-                    content=content,
-                )
-            except Exception as e:
-                self.ap.logger.warning(
-                    f'Failed to register input artifact {artifact_id}: {e}'
-                )
-
-    def _decode_attachment_content(
-        self,
-        content: typing.Any,
-    ) -> tuple[bytes | None, str | None]:
-        """Decode base64 attachment content, including data URLs."""
-        if not isinstance(content, str) or not content:
-            return None, None
-
-        import base64
-        import binascii
-
-        mime_type = None
-        payload = content
-        if content.startswith('data:') and ',' in content:
-            header, payload = content.split(',', 1)
-            if ';base64' in header:
-                mime_type = header[5:].split(';', 1)[0] or None
-
-        try:
-            return base64.b64decode(payload, validate=False), mime_type
-        except (binascii.Error, ValueError):
-            return None, mime_type
-
-    async def _write_user_transcript(
-        self,
-        event: AgentEventEnvelope,
-        event_log_id: str,
-    ) -> None:
-        """Write user message to Transcript.
-
-        Args:
-            event: Event envelope
-            event_log_id: Event log ID
-        """
-        from .transcript_store import TranscriptStore
-        store = TranscriptStore(self.ap.persistence_mgr.get_db_engine())
-
-        # Build content
-        content = event.input.text if event.input else None
-        content_json = None
-        if event.input:
-            content_json = {
-                'role': 'user',
-                'content': [c.model_dump(mode='json') if hasattr(c, 'model_dump') else c for c in event.input.contents] if event.input.contents else [],
-            }
-
-        # Build artifact refs
-        artifact_refs = []
-        if event.input and event.input.attachments:
-            for a in event.input.attachments:
-                artifact_refs.append(a.model_dump(mode='json') if hasattr(a, 'model_dump') else a)
-
-        await store.append_transcript(
-            transcript_id=None,  # Auto-generate
-            event_id=event_log_id,
-            conversation_id=event.conversation_id,
-            role='user',
-            content=content,
-            content_json=content_json,
-            artifact_refs=artifact_refs if artifact_refs else None,
-            thread_id=event.thread_id,
-            item_type='message',
-            metadata={
-                'actor_type': event.actor.actor_type if event.actor else None,
-                'actor_id': event.actor.actor_id if event.actor else None,
-            },
-        )
-
-    async def _handle_artifact_created(
-        self,
-        result_dict: dict[str, typing.Any],
-        event: AgentEventEnvelope,
-        run_id: str,
-        runner_id: str,
-    ) -> dict[str, typing.Any]:
-        """Handle artifact.created result - register artifact and write EventLog.
-
-        Args:
-            result_dict: Raw result dict with type='artifact.created'
-            event: Event envelope
-            run_id: Current run ID
-            runner_id: Runner ID
-
-        Returns:
-            Artifact reference dict for Transcript
-
-        Raises:
-            RunnerProtocolError: On validation failures or registration errors
-        """
-        import base64
-        import uuid
-
-        from .artifact_store import ArtifactStore
-        from .event_log_store import EventLogStore
-
-        data = result_dict.get('data', {})
-
-        # Validate run_id matches current context
-        result_run_id = result_dict.get('run_id')
-        if result_run_id and result_run_id != run_id:
-            raise RunnerProtocolError(
-                runner_id,
-                f'artifact.created run_id mismatch: expected {run_id}, got {result_run_id}',
-            )
-
-        # Extract artifact fields
-        artifact_id = data.get('artifact_id') or str(uuid.uuid4())
-        artifact_type = data.get('artifact_type')
-        if not artifact_type:
-            raise RunnerProtocolError(
-                runner_id,
-                'artifact.created missing required field: artifact_type',
-            )
-
-        mime_type = data.get('mime_type')
-        name = data.get('name')
-        size_bytes = data.get('size_bytes')
-        sha256 = data.get('sha256')
-        metadata = data.get('metadata')
-        content_base64 = data.get('content_base64')
-
-        # Decode and validate content if provided
-        content: bytes | None = None
-        if content_base64:
-            try:
-                content = base64.b64decode(content_base64, validate=True)
-            except Exception as e:
-                raise RunnerProtocolError(
-                    runner_id,
-                    f'artifact.created invalid base64 content: {e}',
-                )
-
-            # Validate content size
-            if len(content) > MAX_ARTIFACT_INLINE_BYTES:
-                raise RunnerProtocolError(
-                    runner_id,
-                    f'artifact.created content size {len(content)} bytes exceeds limit {MAX_ARTIFACT_INLINE_BYTES} bytes',
-                )
-
-        # Register artifact via ArtifactStore
-        artifact_store = ArtifactStore(self.ap.persistence_mgr.get_db_engine())
-        try:
-            registered_id = await artifact_store.register_artifact(
-                artifact_id=artifact_id,
-                artifact_type=artifact_type,
-                source='runner',
-                mime_type=mime_type,
-                name=name,
-                size_bytes=size_bytes,
-                sha256=sha256,
-                conversation_id=event.conversation_id,
-                run_id=run_id,
-                runner_id=runner_id,
-                bot_id=event.bot_id,
-                workspace_id=event.workspace_id,
-                metadata=metadata,
-                content=content,
-            )
-        except Exception as e:
-            raise RunnerProtocolError(
-                runner_id,
-                f'artifact.created failed to register artifact: {e}',
-            )
-
-        # Write to EventLog
-        event_log_store = EventLogStore(self.ap.persistence_mgr.get_db_engine())
-        await event_log_store.append_event(
-            event_id=str(uuid.uuid4()),
-            event_type='artifact.created',
-            source='runner',
-            bot_id=event.bot_id,
-            workspace_id=event.workspace_id,
-            conversation_id=event.conversation_id,
-            thread_id=event.thread_id,
-            actor_type=event.actor.actor_type if event.actor else None,
-            actor_id=event.actor.actor_id if event.actor else None,
-            actor_name=event.actor.actor_name if event.actor else None,
-            input_summary=f'Artifact created: {artifact_type}',
-            input_json={
-                'artifact_id': registered_id,
-                'artifact_type': artifact_type,
-                'mime_type': mime_type,
-                'name': name,
-                'size_bytes': size_bytes,
-            },
-            run_id=run_id,
-            runner_id=runner_id,
-        )
-
-        # Return artifact ref for Transcript
-        return {
-            'artifact_id': registered_id,
-            'artifact_type': artifact_type,
-            'mime_type': mime_type,
-            'name': name,
-        }
-
-    def _merge_artifact_refs(
-        self,
-        pending_refs: list[dict[str, typing.Any]],
-        result_dict: dict[str, typing.Any],
-    ) -> list[dict[str, typing.Any]]:
-        """Merge pending artifact refs with message's own refs, deduplicating by artifact_id.
-
-        Args:
-            pending_refs: Artifact refs accumulated from artifact.created events
-            result_dict: Result dict that may contain message with artifact_refs
-
-        Returns:
-            Merged and deduplicated list of artifact refs
-        """
-        # Start with pending refs
-        merged = list(pending_refs)
-        seen_ids = {ref.get('artifact_id') for ref in pending_refs if ref.get('artifact_id')}
-
-        # Extract refs from message data if present
-        data = result_dict.get('data', {})
-        message = data.get('message', {})
-        message_refs = message.get('artifact_refs', [])
-
-        if isinstance(message_refs, list):
-            for ref in message_refs:
-                if isinstance(ref, dict):
-                    artifact_id = ref.get('artifact_id')
-                    if artifact_id and artifact_id not in seen_ids:
-                        merged.append(ref)
-                        seen_ids.add(artifact_id)
-
-        return merged
-
-    async def _write_assistant_transcript(
-        self,
-        result_dict: dict[str, typing.Any],
-        event: AgentEventEnvelope,
-        run_id: str,
-        runner_id: str,
-        artifact_refs: list[dict[str, typing.Any]] | None = None,
-    ) -> None:
-        """Write assistant message to Transcript.
-
-        Args:
-            result_dict: Result dict from runner
-            event: Original event envelope
-            run_id: Run ID
-            runner_id: Runner ID
-            artifact_refs: Optional artifact references to include
-        """
-        import uuid
-
-        from .transcript_store import TranscriptStore
-        store = TranscriptStore(self.ap.persistence_mgr.get_db_engine())
-
-        data = result_dict.get('data', {})
-        message = data.get('message', {})
-
-        # Build content
-        content = None
-        content_json = None
-
-        if isinstance(message.get('content'), str):
-            content = message['content']
-            content_json = message
-        elif isinstance(message.get('content'), list):
-            # Extract text from content list
-            text_parts = []
-            for c in message['content']:
-                if isinstance(c, dict) and c.get('type') == 'text':
-                    text_parts.append(c.get('text', ''))
-            content = ' '.join(text_parts) if text_parts else None
-            content_json = message
-
-        # Generate a unique event ID for assistant message
-        assistant_event_id = str(uuid.uuid4())
-
-        await store.append_transcript(
-            transcript_id=str(uuid.uuid4()),
-            event_id=assistant_event_id,
-            conversation_id=event.conversation_id,
-            role='assistant',
-            content=content,
-            content_json=content_json,
-            artifact_refs=artifact_refs,
-            thread_id=event.thread_id,
-            item_type='message',
-            run_id=run_id,
-            runner_id=runner_id,
-            metadata={
-                'run_id': run_id,
-                'runner_id': runner_id,
-            },
-        )

src/langbot/pkg/agent/runner/persistent_state_store.py

@@ -1,431 +0,0 @@
-"""Persistent state store for AgentRunner protocol state.
-
-This module provides a database-backed state store for event-first Protocol v1.
-"""
-from __future__ import annotations
-
-import typing
-import json
-import threading
-from datetime import datetime
-
-import sqlalchemy
-from sqlalchemy.ext.asyncio import AsyncEngine
-from sqlalchemy import select, delete, update
-
-from .descriptor import AgentRunnerDescriptor
-from .host_models import AgentEventEnvelope, AgentBinding
-from .state_scope import (
-    VALID_STATE_SCOPES,
-    build_state_scope_key,
-    get_binding_identity,
-    normalize_state_key,
-)
-from ...entity.persistence.agent_runner_state import AgentRunnerState
-
-
-# Maximum value_json size (256KB)
-MAX_VALUE_JSON_BYTES = 256 * 1024
-
-
-class PersistentStateStore:
-    """Database-backed state store for AgentRunner protocol state.
-
-    IMPORTANT: This is HOST-OWNED protocol state, NOT plugin instance state.
-
-    This store provides:
-    1. Persistent storage across runs via database
-    2. Scope isolation by runner_id + binding_identity + scope
-    3. Policy enforcement (enable_state, state_scopes)
-    4. JSON value validation and size limits
-
-    Used by:
-    - Event-first Protocol v1 (async methods)
-    - State API handlers (get/set/delete/list)
-    """
-
-    def __init__(self, db_engine: AsyncEngine):
-        self._db_engine = db_engine
-
-    def _get_scope_key(
-        self,
-        scope: str,
-        event: AgentEventEnvelope,
-        binding: AgentBinding,
-        descriptor: AgentRunnerDescriptor,
-    ) -> str | None:
-        """Get scope key for given scope."""
-        return build_state_scope_key(scope, event, binding, descriptor)
-
-    def _check_scope_enabled(self, scope: str, binding: AgentBinding) -> bool:
-        """Check if scope is enabled by binding's state_policy."""
-        state_policy = binding.state_policy
-        if not state_policy.enable_state:
-            return False
-        return scope in state_policy.state_scopes
-
-    def _validate_json_value(
-        self,
-        value: typing.Any,
-        logger: typing.Any = None,
-    ) -> tuple[str | None, str | None]:
-        """Validate and serialize value to JSON.
-
-        Returns:
-            Tuple of (json_string, error_message). If error_message is not None,
-            json_string will be None.
-        """
-        try:
-            json_str = json.dumps(value, ensure_ascii=False)
-        except (TypeError, ValueError) as e:
-            return None, f'Value is not JSON-serializable: {e}'
-
-        # Check size limit
-        json_bytes = len(json_str.encode('utf-8'))
-        if json_bytes > MAX_VALUE_JSON_BYTES:
-            return None, f'Value size {json_bytes} bytes exceeds limit {MAX_VALUE_JSON_BYTES} bytes'
-
-        return json_str, None
-
-    # ========== Async DB Operations ==========
-
-    async def build_snapshot_from_event(
-        self,
-        event: AgentEventEnvelope,
-        binding: AgentBinding,
-        descriptor: AgentRunnerDescriptor,
-    ) -> dict[str, dict[str, typing.Any]]:
-        """Build state snapshot for all scopes from event and binding.
-
-        Reads from database, respects state_policy.
-        """
-        state_policy = binding.state_policy
-
-        # If state is disabled, return all empty scopes
-        if not state_policy.enable_state:
-            return {
-                'conversation': {},
-                'actor': {},
-                'subject': {},
-                'runner': {},
-            }
-
-        snapshot: dict[str, dict[str, typing.Any]] = {
-            'conversation': {},
-            'actor': {},
-            'subject': {},
-            'runner': {},
-        }
-
-        async with self._db_engine.connect() as conn:
-            for scope in VALID_STATE_SCOPES:
-                if not self._check_scope_enabled(scope, binding):
-                    continue
-
-                scope_key = self._get_scope_key(scope, event, binding, descriptor)
-                if not scope_key:
-                    continue
-
-                # Query all state entries for this scope_key
-                result = await conn.execute(
-                    select(AgentRunnerState.state_key, AgentRunnerState.value_json)
-                    .where(AgentRunnerState.scope_key == scope_key)
-                )
-                rows = result.fetchall()
-
-                for row in rows:
-                    key = row.state_key
-                    value_json = row.value_json
-                    if value_json:
-                        try:
-                            snapshot[scope][key] = json.loads(value_json)
-                        except json.JSONDecodeError:
-                            pass  # Skip invalid JSON
-
-        # Seed external.conversation_id from event.conversation_id if not set
-        if self._check_scope_enabled('conversation', binding) and event.conversation_id:
-            if 'external.conversation_id' not in snapshot['conversation']:
-                snapshot['conversation']['external.conversation_id'] = event.conversation_id
-
-        return snapshot
-
-    async def apply_update_from_event(
-        self,
-        event: AgentEventEnvelope,
-        binding: AgentBinding,
-        descriptor: AgentRunnerDescriptor,
-        scope: str,
-        key: str,
-        value: typing.Any,
-        logger: typing.Any = None,
-    ) -> tuple[bool, str | None]:
-        """Apply a state update from event context.
-
-        Returns:
-            Tuple of (success, error_message). If success is False, error_message
-            contains the reason.
-        """
-        state_policy = binding.state_policy
-
-        # Check if state is disabled
-        if not state_policy.enable_state:
-            return False, 'State is disabled by binding policy'
-
-        # Validate scope
-        if scope not in VALID_STATE_SCOPES:
-            return False, f'Invalid scope: {scope}'
-
-        # Check if scope is enabled
-        if not self._check_scope_enabled(scope, binding):
-            return False, f'Scope "{scope}" not enabled by binding policy'
-
-        # Map accepted key aliases
-        key = normalize_state_key(key)
-
-        # Get scope key
-        scope_key = self._get_scope_key(scope, event, binding, descriptor)
-        if not scope_key:
-            return False, f'Missing identity for scope "{scope}"'
-
-        # Validate and serialize value
-        value_json, error = self._validate_json_value(value, logger)
-        if error:
-            return False, error
-
-        # Build context fields
-        binding_identity = get_binding_identity(binding)
-
-        async with self._db_engine.begin() as conn:
-            # Check if entry exists
-            result = await conn.execute(
-                select(AgentRunnerState.id)
-                .where(AgentRunnerState.scope_key == scope_key)
-                .where(AgentRunnerState.state_key == key)
-            )
-            existing = result.first()
-
-            now = datetime.utcnow()
-
-            if existing:
-                # Update existing entry
-                await conn.execute(
-                    update(AgentRunnerState)
-                    .where(AgentRunnerState.id == existing.id)
-                    .values(
-                        value_json=value_json,
-                        updated_at=now,
-                    )
-                )
-            else:
-                # Insert new entry
-                await conn.execute(
-                    sqlalchemy.insert(AgentRunnerState).values(
-                        runner_id=descriptor.id,
-                        binding_identity=binding_identity,
-                        scope=scope,
-                        scope_key=scope_key,
-                        state_key=key,
-                        value_json=value_json,
-                        bot_id=event.bot_id,
-                        workspace_id=event.workspace_id,
-                        conversation_id=event.conversation_id,
-                        thread_id=event.thread_id,
-                        actor_type=event.actor.actor_type if event.actor else None,
-                        actor_id=event.actor.actor_id if event.actor else None,
-                        subject_type=event.subject.subject_type if event.subject else None,
-                        subject_id=event.subject.subject_id if event.subject else None,
-                        created_at=now,
-                        updated_at=now,
-                    )
-                )
-
-        return True, None
-
-    async def state_get(
-        self,
-        scope_key: str,
-        state_key: str,
-    ) -> typing.Any:
-        """Get a single state value by scope_key and state_key.
-
-        Used by State API handlers.
-        """
-        state_key = normalize_state_key(state_key)
-
-        async with self._db_engine.connect() as conn:
-            result = await conn.execute(
-                select(AgentRunnerState.value_json)
-                .where(AgentRunnerState.scope_key == scope_key)
-                .where(AgentRunnerState.state_key == state_key)
-            )
-            row = result.first()
-
-            if not row or not row.value_json:
-                return None
-
-            try:
-                return json.loads(row.value_json)
-            except json.JSONDecodeError:
-                return None
-
-    async def state_set(
-        self,
-        scope_key: str,
-        state_key: str,
-        value: typing.Any,
-        runner_id: str,
-        binding_identity: str,
-        scope: str,
-        context: dict[str, typing.Any] | None = None,
-        logger: typing.Any = None,
-    ) -> tuple[bool, str | None]:
-        """Set a state value.
-
-        Used by State API handlers.
-        Context contains optional fields like bot_id, conversation_id, etc.
-        """
-        state_key = normalize_state_key(state_key)
-
-        # Validate and serialize value
-        value_json, error = self._validate_json_value(value, logger)
-        if error:
-            return False, error
-
-        context = context or {}
-
-        async with self._db_engine.begin() as conn:
-            # Check if entry exists
-            result = await conn.execute(
-                select(AgentRunnerState.id)
-                .where(AgentRunnerState.scope_key == scope_key)
-                .where(AgentRunnerState.state_key == state_key)
-            )
-            existing = result.first()
-
-            now = datetime.utcnow()
-
-            if existing:
-                # Update existing entry
-                await conn.execute(
-                    update(AgentRunnerState)
-                    .where(AgentRunnerState.id == existing.id)
-                    .values(
-                        value_json=value_json,
-                        updated_at=now,
-                    )
-                )
-            else:
-                # Insert new entry
-                await conn.execute(
-                    sqlalchemy.insert(AgentRunnerState).values(
-                        runner_id=runner_id,
-                        binding_identity=binding_identity,
-                        scope=scope,
-                        scope_key=scope_key,
-                        state_key=state_key,
-                        value_json=value_json,
-                        bot_id=context.get('bot_id'),
-                        workspace_id=context.get('workspace_id'),
-                        conversation_id=context.get('conversation_id'),
-                        thread_id=context.get('thread_id'),
-                        actor_type=context.get('actor_type'),
-                        actor_id=context.get('actor_id'),
-                        subject_type=context.get('subject_type'),
-                        subject_id=context.get('subject_id'),
-                        created_at=now,
-                        updated_at=now,
-                    )
-                )
-
-        return True, None
-
-    async def state_delete(
-        self,
-        scope_key: str,
-        state_key: str,
-    ) -> bool:
-        """Delete a state value.
-
-        Returns True if deleted, False if not found.
-        """
-        state_key = normalize_state_key(state_key)
-
-        async with self._db_engine.begin() as conn:
-            result = await conn.execute(
-                delete(AgentRunnerState)
-                .where(AgentRunnerState.scope_key == scope_key)
-                .where(AgentRunnerState.state_key == state_key)
-                .returning(AgentRunnerState.id)
-            )
-            deleted = result.first()
-            return deleted is not None
-
-    async def state_list(
-        self,
-        scope_key: str,
-        prefix: str | None = None,
-        limit: int = 100,
-    ) -> tuple[list[str], bool]:
-        """List state keys in a scope.
-
-        Returns tuple of (keys, has_more).
-        """
-        # Enforce limit cap
-        limit = min(limit, 100)
-
-        async with self._db_engine.connect() as conn:
-            query = (
-                select(AgentRunnerState.state_key)
-                .where(AgentRunnerState.scope_key == scope_key)
-                .order_by(AgentRunnerState.state_key)
-                .limit(limit + 1)  # Fetch one extra to check has_more
-            )
-
-            if prefix:
-                prefix = normalize_state_key(prefix)
-                query = query.where(
-                    AgentRunnerState.state_key.like(f'{prefix}%')
-                )
-
-            result = await conn.execute(query)
-            rows = result.fetchall()
-
-            keys = [row.state_key for row in rows[:limit]]
-            has_more = len(rows) > limit
-
-            return keys, has_more
-
-    async def clear_all(self) -> None:
-        """Clear all state entries (for testing)."""
-        async with self._db_engine.begin() as conn:
-            await conn.execute(delete(AgentRunnerState))
-
-
-# Global singleton persistent state store
-_persistent_state_store: PersistentStateStore | None = None
-_persistent_state_store_lock = threading.Lock()
-
-
-def get_persistent_state_store(db_engine: AsyncEngine | None = None) -> PersistentStateStore:
-    """Get the global persistent state store singleton.
-
-    Args:
-        db_engine: Database engine (required on first call)
-
-    Returns:
-        PersistentStateStore singleton
-    """
-    global _persistent_state_store
-    with _persistent_state_store_lock:
-        if _persistent_state_store is None:
-            if db_engine is None:
-                raise RuntimeError("db_engine required for first call to get_persistent_state_store")
-            _persistent_state_store = PersistentStateStore(db_engine)
-        return _persistent_state_store
-
-
-def reset_persistent_state_store() -> None:
-    """Reset the global persistent state store (for testing)."""
-    global _persistent_state_store
-    with _persistent_state_store_lock:
-        _persistent_state_store = None

src/langbot/pkg/agent/runner/query_entry_adapter.py

@@ -1,585 +0,0 @@
-"""Query entry adapter for converting Query to event-first envelope.
-
-This adapter bridges the current Query entry point with the event-first
-Protocol v1 architecture without exposing Query internals to runners.
-"""
-from __future__ import annotations
-
-import hashlib
-import typing
-
-from langbot_plugin.api.entities.builtin.pipeline import query as pipeline_query
-from langbot_plugin.api.entities.builtin.platform import message as platform_message
-from langbot_plugin.api.entities.builtin.agent_runner.event import (
-    AgentEventContext,
-    ConversationContext,
-    ActorContext,
-    SubjectContext,
-    RawEventRef,
-)
-from langbot_plugin.api.entities.builtin.agent_runner.input import AgentInput
-from langbot_plugin.api.entities.builtin.agent_runner.delivery import DeliveryContext
-
-from .host_models import (
-    AgentConfig,
-    AgentEventEnvelope,
-    ResourcePolicy,
-    StatePolicy,
-    DeliveryPolicy,
-)
-from . import events as runner_events
-
-
-class QueryEntryAdapter:
-    """Adapter for converting Query to event-first envelope.
-
-    This adapter is responsible for:
-    - Converting Query to AgentEventEnvelope
-    - Projecting current Pipeline config to temporary AgentConfig
-    - Putting Query-only fields into adapter context
-    """
-
-    INTERNAL_PREFIX = '_'
-    SENSITIVE_PATTERNS = ('secret', 'token', 'key', 'password', 'credential', 'api_key', 'apikey')
-    PERMISSION_VARS = ('_pipeline_bound_plugins', '_authorized', '_permission')
-
-    @classmethod
-    def query_to_event(
-        cls,
-        query: pipeline_query.Query,
-    ) -> AgentEventEnvelope:
-        """Convert Query to AgentEventEnvelope.
-
-        Args:
-            query: Current entry query
-
-        Returns:
-            AgentEventEnvelope for event-first processing
-        """
-        # Build event context
-        event = cls._build_event_context(query)
-
-        # Build conversation context
-        conversation = cls._build_conversation_context(query)
-
-        # Build actor context
-        actor = cls._build_actor_context(query)
-
-        # Build subject context
-        subject = cls._build_subject_context(query)
-
-        # Build input
-        input = cls._build_input(query)
-
-        # Build delivery context
-        delivery = cls._build_delivery_context(query)
-
-        # Build raw ref
-        raw_ref = cls._build_raw_ref(query)
-
-        return AgentEventEnvelope(
-            event_id=event.event_id or str(query.query_id),
-            event_type=event.event_type or runner_events.MESSAGE_RECEIVED,
-            event_time=event.event_time,
-            source="host_adapter",
-            source_event_type=event.source_event_type,
-            bot_id=query.bot_uuid,
-            workspace_id=None,  # Not available in Query
-            conversation_id=conversation.conversation_id,
-            thread_id=conversation.thread_id,
-            actor=actor,
-            subject=subject,
-            input=input,
-            delivery=delivery,
-            raw_ref=raw_ref,
-            data=event.data,
-        )
-
-    @classmethod
-    def config_to_agent_config(
-        cls,
-        query: pipeline_query.Query,
-        runner_id: str,
-    ) -> AgentConfig:
-        """Project the current Pipeline config container into target Agent config."""
-        pipeline_config = query.pipeline_config or {}
-        ai_config = pipeline_config.get('ai', {})
-        runner_config = ai_config.get('runner_config', {}).get(runner_id, {})
-        agent_id = getattr(query, 'pipeline_uuid', None)
-
-        # Build resource policy from current config
-        resource_policy = ResourcePolicy(
-            allowed_model_uuids=cls._extract_allowed_models(query),
-            allowed_tool_names=cls._extract_allowed_tools(query),
-            allowed_kb_uuids=cls._extract_allowed_kbs(query),
-        )
-
-        # Build state policy
-        state_policy = StatePolicy(
-            enable_state=True,
-            state_scopes=["conversation", "actor", "subject", "runner"],
-        )
-
-        # Build delivery policy
-        delivery_policy = DeliveryPolicy(
-            enable_streaming=True,
-            enable_reply=True,
-        )
-
-        return AgentConfig(
-            agent_id=agent_id,
-            runner_id=runner_id,
-            runner_config=runner_config,
-            resource_policy=resource_policy,
-            state_policy=state_policy,
-            delivery_policy=delivery_policy,
-            event_types=[runner_events.MESSAGE_RECEIVED],
-            enabled=True,
-            metadata={'source': 'pipeline_adapter'},
-        )
-
-    @classmethod
-    def build_adapter_context(
-        cls,
-        query: pipeline_query.Query,
-        binding: AgentBinding,
-    ) -> dict[str, typing.Any]:
-        """Build Query-derived fields for the current entry adapter."""
-        return {
-            'params': cls.build_params(query),
-            'query_id': getattr(query, 'query_id', None),
-            'prompt_get': cls._has_effective_prompt(query),
-        }
-
-    @classmethod
-    def build_params(cls, query: pipeline_query.Query) -> dict[str, typing.Any]:
-        """Build adapter params from Pipeline variables with host filtering."""
-        params: dict[str, typing.Any] = {}
-        variables = getattr(query, 'variables', None)
-        if not variables:
-            return params
-
-        for key, value in variables.items():
-            if key.startswith(cls.INTERNAL_PREFIX):
-                continue
-            key_lower = key.lower()
-            if any(pattern in key_lower for pattern in cls.SENSITIVE_PATTERNS):
-                continue
-            if any(key == perm_var or key.startswith(perm_var) for perm_var in cls.PERMISSION_VARS):
-                continue
-            if cls.is_json_serializable(value):
-                params[key] = value
-
-        return params
-
-    @classmethod
-    def is_json_serializable(cls, value: typing.Any) -> bool:
-        """Return whether a value can safely cross the adapter boundary as JSON."""
-        if value is None or isinstance(value, (str, int, float, bool)):
-            return True
-        if isinstance(value, (list, tuple)):
-            return all(cls.is_json_serializable(item) for item in value)
-        if isinstance(value, dict):
-            return all(
-                isinstance(k, str) and cls.is_json_serializable(v)
-                for k, v in value.items()
-            )
-        return False
-
-    @classmethod
-    def _has_effective_prompt(cls, query: pipeline_query.Query) -> bool:
-        prompt = getattr(query, 'prompt', None)
-        messages = getattr(prompt, 'messages', None) if prompt is not None else None
-        return isinstance(messages, list)
-
-    # Private helper methods
-
-    @classmethod
-    def _build_event_context(
-        cls,
-        query: pipeline_query.Query,
-    ) -> AgentEventContext:
-        """Build AgentEventContext from Query."""
-        message_event = getattr(query, 'message_event', None)
-
-        event_data: dict[str, typing.Any] = {}
-        if message_event and hasattr(message_event, 'model_dump'):
-            try:
-                event_data = message_event.model_dump(mode='json')
-            except TypeError:
-                event_data = message_event.model_dump()
-            except Exception:
-                event_data = {}
-            event_data.pop('source_platform_object', None)
-
-        source_event_type = None
-        if message_event:
-            source_event_type = getattr(message_event, 'type', None)
-
-        message_chain = getattr(query, 'message_chain', None)
-        message_id = getattr(message_chain, 'message_id', None)
-        if message_id == -1:
-            message_id = None
-
-        event_time = None
-        if message_event:
-            event_time = getattr(message_event, 'time', None)
-        if isinstance(event_time, (int, float)):
-            event_time = int(event_time)
-
-        source_event_id = str(message_id or query.query_id)
-        return AgentEventContext(
-            event_id=cls._build_scoped_event_id(query, source_event_id, event_time),
-            event_type=runner_events.MESSAGE_RECEIVED,
-            event_time=event_time,
-            source="host_adapter",
-            source_event_type=source_event_type,
-            data=event_data,
-        )
-
-    @classmethod
-    def _build_scoped_event_id(
-        cls,
-        query: pipeline_query.Query,
-        source_event_id: str,
-        event_time: int | None,
-    ) -> str:
-        """Build a globally unique host event id from pipeline-local ids."""
-        launcher_type = getattr(query, 'launcher_type', None)
-        launcher_type_value = getattr(launcher_type, 'value', launcher_type) if launcher_type is not None else None
-        scope_parts = [
-            'host_adapter',
-            getattr(query, 'pipeline_uuid', None),
-            getattr(query, 'bot_uuid', None),
-            launcher_type_value,
-            getattr(query, 'launcher_id', None),
-            getattr(query, 'sender_id', None),
-            source_event_id,
-            event_time,
-        ]
-        scoped = '|'.join('' if part is None else str(part) for part in scope_parts)
-        digest = hashlib.sha256(scoped.encode('utf-8')).hexdigest()[:32]
-        return f'host:{digest}'
-
-    @classmethod
-    def _build_conversation_context(
-        cls,
-        query: pipeline_query.Query,
-    ) -> ConversationContext:
-        """Build ConversationContext from Query."""
-        # Handle launcher_type safely
-        launcher_type = getattr(query, 'launcher_type', None)
-        launcher_type_value = None
-        if launcher_type is not None:
-            launcher_type_value = getattr(launcher_type, 'value', launcher_type)
-
-        # Handle launcher_id
-        launcher_id = getattr(query, 'launcher_id', None)
-
-        # Build session_id from launcher info if available
-        session_id = None
-        if launcher_type_value and launcher_id:
-            session_id = f'{launcher_type_value}_{launcher_id}'
-
-        # Handle session and conversation_id
-        conversation_id = None
-        session = getattr(query, 'session', None)
-        if session:
-            conversation = getattr(session, 'using_conversation', None)
-            if conversation:
-                conversation_id = getattr(conversation, 'uuid', None)
-
-        if not conversation_id:
-            variables = getattr(query, 'variables', None) or {}
-            conversation_id = variables.get('conversation_id') or None
-
-        if not conversation_id:
-            conversation_id = session_id
-
-        # Handle sender_id
-        sender_id = getattr(query, 'sender_id', None)
-        if sender_id is not None:
-            sender_id = str(sender_id)
-
-        # Handle bot_uuid
-        bot_uuid = getattr(query, 'bot_uuid', None)
-
-        return ConversationContext(
-            conversation_id=str(conversation_id) if conversation_id is not None else None,
-            thread_id=None,
-            launcher_type=launcher_type_value,
-            launcher_id=launcher_id,
-            sender_id=sender_id,
-            bot_id=bot_uuid,
-            workspace_id=None,
-            session_id=session_id,
-        )
-
-    @classmethod
-    def _build_actor_context(
-        cls,
-        query: pipeline_query.Query,
-    ) -> ActorContext:
-        """Build ActorContext from Query."""
-        message_event = getattr(query, 'message_event', None)
-        sender = getattr(message_event, 'sender', None) if message_event else None
-        sender_id = getattr(query, 'sender_id', None)
-        actor_id = getattr(sender, 'id', None) if sender else None
-        if actor_id is None:
-            actor_id = sender_id
-        actor_name = sender.get_name() if sender and hasattr(sender, 'get_name') else None
-
-        return ActorContext(
-            actor_type="user",
-            actor_id=str(actor_id) if actor_id is not None else None,
-            actor_name=actor_name,
-            metadata={},
-        )
-
-    @classmethod
-    def _build_subject_context(
-        cls,
-        query: pipeline_query.Query,
-    ) -> SubjectContext:
-        """Build SubjectContext from Query."""
-        message_chain = getattr(query, 'message_chain', None)
-        message_id = getattr(message_chain, 'message_id', None) if message_chain else None
-        if message_id == -1:
-            message_id = None
-
-        query_id = getattr(query, 'query_id', None)
-
-        # Safely get launcher_type
-        launcher_type = getattr(query, 'launcher_type', None)
-        launcher_type_value = None
-        if launcher_type is not None:
-            launcher_type_value = getattr(launcher_type, 'value', launcher_type)
-
-        return SubjectContext(
-            subject_type="message",
-            subject_id=str(message_id or query_id or ''),
-            data={
-                "launcher_type": launcher_type_value,
-                "launcher_id": getattr(query, 'launcher_id', None),
-                "sender_id": str(getattr(query, 'sender_id', '')) if getattr(query, 'sender_id', None) else None,
-                "bot_uuid": getattr(query, 'bot_uuid', None),
-            },
-        )
-
-    @classmethod
-    def _build_input(
-        cls,
-        query: pipeline_query.Query,
-    ) -> AgentInput:
-        """Build AgentInput from Query."""
-        text = None
-        text_parts: list[str] = []
-        contents: list[dict[str, typing.Any]] = []
-
-        user_message = getattr(query, 'user_message', None)
-        if user_message:
-            content = getattr(user_message, 'content', None)
-            if isinstance(content, list):
-                for elem in content:
-                    elem_dict = None
-                    if hasattr(elem, 'model_dump'):
-                        elem_dict = elem.model_dump(mode='json')
-                    elif isinstance(elem, dict):
-                        elem_dict = elem
-
-                    if not isinstance(elem_dict, dict):
-                        continue
-
-                    contents.append(elem_dict)
-                    if elem_dict.get('type') == 'text':
-                        elem_text = elem_dict.get('text')
-                        if elem_text:
-                            text_parts.append(elem_text)
-            elif content is not None:
-                text = str(content)
-                contents.append({'type': 'text', 'text': text})
-
-        if text_parts:
-            text = ''.join(text_parts)
-
-        message_chain_dict = None
-        message_chain = getattr(query, 'message_chain', None)
-        if message_chain:
-            if hasattr(message_chain, 'model_dump'):
-                message_chain_dict = message_chain.model_dump(mode='json')
-
-        attachments = cls._build_attachments(query, contents)
-
-        return AgentInput(
-            text=text,
-            contents=contents,
-            message_chain=message_chain_dict,
-            attachments=attachments,
-        )
-
-    @classmethod
-    def _build_attachments(
-        cls,
-        query: pipeline_query.Query,
-        contents: list[dict[str, typing.Any]],
-    ) -> list[dict[str, typing.Any]]:
-        """Extract attachments from query."""
-        import uuid
-
-        attachments: list[dict[str, typing.Any]] = []
-
-        for elem in contents:
-            elem_type = elem.get('type')
-            artifact_id = str(uuid.uuid4())  # Generate unique ID
-
-            if elem_type == 'image_url':
-                image_url = elem.get('image_url') or {}
-                attachments.append({
-                    'artifact_id': artifact_id,
-                    'artifact_type': 'image',
-                    'source': 'url',
-                    'url': image_url.get('url') if isinstance(image_url, dict) else str(image_url),
-                })
-            elif elem_type == 'image_base64':
-                attachments.append({
-                    'artifact_id': artifact_id,
-                    'artifact_type': 'image',
-                    'source': 'base64',
-                    'content': elem.get('image_base64'),
-                })
-            elif elem_type == 'file_url':
-                attachments.append({
-                    'artifact_id': artifact_id,
-                    'artifact_type': 'file',
-                    'source': 'url',
-                    'url': elem.get('file_url'),
-                    'name': elem.get('file_name'),
-                })
-            elif elem_type == 'file_base64':
-                attachments.append({
-                    'artifact_id': artifact_id,
-                    'artifact_type': 'file',
-                    'source': 'base64',
-                    'content': elem.get('file_base64'),
-                    'name': elem.get('file_name'),
-                })
-
-        message_chain = getattr(query, 'message_chain', None)
-        if message_chain:
-            try:
-                message_components = iter(message_chain)
-            except TypeError:
-                message_components = iter(())
-
-            for component in message_components:
-                artifact_id = str(uuid.uuid4())  # Generate unique ID
-
-                if isinstance(component, platform_message.Image):
-                    attachments.append({
-                        'artifact_id': artifact_id,
-                        'artifact_type': 'image',
-                        'source': 'message_chain',
-                        'id': component.image_id or None,
-                        'url': component.url or None,
-                    })
-                elif isinstance(component, platform_message.File):
-                    attachments.append({
-                        'artifact_id': artifact_id,
-                        'artifact_type': 'file',
-                        'source': 'message_chain',
-                        'id': component.id or None,
-                        'name': component.name or None,
-                    })
-                elif isinstance(component, platform_message.Voice):
-                    attachments.append({
-                        'artifact_id': artifact_id,
-                        'artifact_type': 'voice',
-                        'source': 'message_chain',
-                        'id': component.voice_id or None,
-                        'url': component.url or None,
-                    })
-
-        return attachments
-
-    @classmethod
-    def _build_delivery_context(
-        cls,
-        query: pipeline_query.Query,
-    ) -> DeliveryContext:
-        """Build DeliveryContext from Query."""
-        message_chain = getattr(query, 'message_chain', None)
-        return DeliveryContext(
-            surface="platform",
-            reply_target={
-                "message_id": getattr(message_chain, 'message_id', None),
-            },
-            supports_streaming=True,
-            supports_edit=False,
-            supports_reaction=False,
-            platform_capabilities={},
-        )
-
-    @classmethod
-    def _build_raw_ref(
-        cls,
-        query: pipeline_query.Query,
-    ) -> RawEventRef | None:
-        """Build RawEventRef from Query."""
-        # For now, we don't store raw event payload
-        return None
-
-    @classmethod
-    def _extract_allowed_models(
-        cls,
-        query: pipeline_query.Query,
-    ) -> list[str] | None:
-        """Extract allowed model UUIDs from query."""
-        model_uuids: list[str] = []
-        model_uuid = getattr(query, 'use_llm_model_uuid', None)
-        if model_uuid:
-            model_uuids.append(model_uuid)
-
-        variables = getattr(query, 'variables', None) or {}
-        for fallback_uuid in variables.get('_fallback_model_uuids', []) or []:
-            if fallback_uuid and fallback_uuid not in model_uuids:
-                model_uuids.append(fallback_uuid)
-
-        return model_uuids or None
-
-    @classmethod
-    def _extract_allowed_tools(
-        cls,
-        query: pipeline_query.Query,
-    ) -> list[str] | None:
-        """Extract allowed tool names from query."""
-        use_funcs = getattr(query, 'use_funcs', None)
-        if not use_funcs:
-            return None
-        try:
-            tool_names = []
-            for func in use_funcs:
-                if isinstance(func, dict):
-                    name = func.get('name')
-                elif hasattr(func, 'name'):
-                    name = func.name
-                else:
-                    continue
-                if name:
-                    tool_names.append(name)
-            return tool_names if tool_names else None
-        except (TypeError, AttributeError):
-            return None
-
-    @classmethod
-    def _extract_allowed_kbs(
-        cls,
-        query: pipeline_query.Query,
-    ) -> list[str] | None:
-        """Extract allowed knowledge base UUIDs from query."""
-        variables = getattr(query, 'variables', None)
-        if not variables:
-            return None
-        kb_uuids = variables.get('_knowledge_base_uuids')
-        if kb_uuids:
-            return kb_uuids
-        return None

src/langbot/pkg/agent/runner/registry.py

@@ -1,293 +0,0 @@
-"""Agent runner registry for discovering and caching runner descriptors."""
-
-from __future__ import annotations
-
-import typing
-import asyncio
-
-from ...core import app
-from .descriptor import AgentRunnerDescriptor
-from .id import parse_runner_id, format_runner_id
-from .errors import RunnerNotFoundError, RunnerNotAuthorizedError
-
-
-class AgentRunnerRegistry:
-    """Registry for discovering and managing agent runners.
-
-    Responsibilities:
-    - Discover runners from plugin runtime via LIST_AGENT_RUNNERS
-    - Validate runner manifests (kind, metadata, spec)
-    - Cache discovered runners for performance
-    - Filter runners by bound plugins
-    - Handle manifest errors gracefully (log warning, skip runner)
-    """
-
-    ap: app.Application
-
-    _cache: dict[str, AgentRunnerDescriptor] | None
-    """Cached runner descriptors keyed by runner ID"""
-
-    _cache_lock: asyncio.Lock
-    """Lock for cache refresh operations"""
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-        self._cache = None
-        self._cache_lock = asyncio.Lock()
-
-    async def _discover_runners(self) -> dict[str, AgentRunnerDescriptor]:
-        """Discover runners from plugin runtime.
-
-        Always discovers ALL runners (no bound_plugins filter).
-        The cache should contain unfiltered discovery results.
-
-        Returns:
-            Dict of runner descriptors keyed by runner ID
-        """
-        if not self.ap.plugin_connector.is_enable_plugin:
-            return {}
-
-        runners: dict[str, AgentRunnerDescriptor] = {}
-
-        try:
-            # Always list all runners (bound_plugins=None)
-            plugin_runners = await self.ap.plugin_connector.list_agent_runners(None)
-
-            for runner_data in plugin_runners:
-                try:
-                    descriptor = self._validate_and_build_descriptor(runner_data)
-                    if descriptor is not None:
-                        runners[descriptor.id] = descriptor
-                except Exception as e:
-                    plugin_author = runner_data.get('plugin_author', 'unknown')
-                    plugin_name = runner_data.get('plugin_name', 'unknown')
-                    runner_name = runner_data.get('runner_name', 'unknown')
-                    self.ap.logger.warning(
-                        f'Invalid runner manifest for plugin:{plugin_author}/{plugin_name}/{runner_name}: {e}'
-                    )
-                    continue
-
-        except Exception as e:
-            self.ap.logger.warning(f'Failed to list agent runners from plugin runtime: {e}')
-            return {}
-
-        return runners
-
-    def _validate_and_build_descriptor(self, runner_data: dict[str, typing.Any]) -> AgentRunnerDescriptor | None:
-        """Validate runner manifest and build descriptor.
-
-        Args:
-            runner_data: Raw runner data from plugin runtime with fields:
-                - plugin_author, plugin_name, runner_name
-                - manifest (full component manifest dict)
-                - protocol_version, capabilities, permissions, config (extracted from spec)
-
-        Returns:
-            AgentRunnerDescriptor if valid, None if invalid
-        """
-        plugin_author = runner_data.get('plugin_author', '')
-        plugin_name = runner_data.get('plugin_name', '')
-        runner_name = runner_data.get('runner_name', '')
-
-        if not plugin_author or not plugin_name or not runner_name:
-            return None
-
-        manifest = runner_data.get('manifest', {})
-
-        # Validate kind
-        kind = manifest.get('kind', '')
-        if kind != 'AgentRunner':
-            return None
-
-        # Validate metadata
-        metadata = manifest.get('metadata', {})
-        name = metadata.get('name', '')
-        if not name:
-            return None
-
-        # metadata.label must exist
-        label = metadata.get('label', {})
-        if not label:
-            label = {name: name}  # fallback
-
-        spec = manifest.get('spec', {})
-
-        # SDK now provides these directly extracted from spec. Fall back to
-        # manifest.spec for older runtimes/tests that return the raw manifest.
-        protocol_version = runner_data.get('protocol_version') or spec.get('protocol_version', '1')
-        config_schema = runner_data.get('config') or spec.get('config', [])
-        capabilities = runner_data.get('capabilities') or spec.get('capabilities', {})
-        permissions = runner_data.get('permissions') or spec.get('permissions', {})
-
-        # Build descriptor
-        runner_id = format_runner_id(
-            source='plugin',
-            plugin_author=plugin_author,
-            plugin_name=plugin_name,
-            runner_name=runner_name,
-        )
-
-        return AgentRunnerDescriptor(
-            id=runner_id,
-            source='plugin',
-            label=label,
-            description=metadata.get('description') or runner_data.get('runner_description'),
-            plugin_author=plugin_author,
-            plugin_name=plugin_name,
-            runner_name=runner_name,
-            plugin_version=runner_data.get('plugin_version'),
-            protocol_version=protocol_version,
-            config_schema=config_schema,
-            capabilities=capabilities,
-            permissions=permissions,
-            raw_manifest=manifest,
-        )
-
-    async def refresh(self) -> None:
-        """Refresh runner cache.
-
-        Always discovers ALL runners (no bound_plugins filter).
-        The cache contains unfiltered discovery results.
-        """
-        async with self._cache_lock:
-            self._cache = await self._discover_runners()
-
-    async def list_runners(
-        self,
-        bound_plugins: list[str] | None = None,
-        use_cache: bool = True,
-    ) -> list[AgentRunnerDescriptor]:
-        """List available runners.
-
-        Args:
-            bound_plugins: Optional filter for bound plugins (applied locally)
-            use_cache: Use cached data if available
-
-        Returns:
-            List of runner descriptors
-        """
-        if use_cache and self._cache is not None:
-            # Filter from cache
-            return self._filter_runners_by_bound_plugins(self._cache, bound_plugins)
-
-        # Discover fresh (always full list)
-        runners = await self._discover_runners()
-
-        # Update cache (full list, unfiltered)
-        async with self._cache_lock:
-            self._cache = runners
-
-        # Filter locally
-        return self._filter_runners_by_bound_plugins(runners, bound_plugins)
-
-    def _filter_runners_by_bound_plugins(
-        self,
-        runners: dict[str, AgentRunnerDescriptor],
-        bound_plugins: list[str] | None,
-    ) -> list[AgentRunnerDescriptor]:
-        """Filter runners by bound plugins.
-
-        Args:
-            runners: Dict of runner descriptors
-            bound_plugins: Optional filter (None means all plugins allowed)
-
-        Returns:
-            Filtered list of runner descriptors
-        """
-        if bound_plugins is None:
-            # All plugins allowed
-            return list(runners.values())
-
-        allowed_plugin_ids = set(bound_plugins)
-        filtered = []
-        for descriptor in runners.values():
-            plugin_id = descriptor.get_plugin_id()
-            if plugin_id in allowed_plugin_ids:
-                filtered.append(descriptor)
-
-        return filtered
-
-    async def get(
-        self,
-        runner_id: str,
-        bound_plugins: list[str] | None = None,
-    ) -> AgentRunnerDescriptor:
-        """Get a specific runner descriptor.
-
-        Args:
-            runner_id: Runner ID to lookup
-            bound_plugins: Optional bound plugins filter
-
-        Returns:
-            AgentRunnerDescriptor
-
-        Raises:
-            RunnerNotFoundError: If runner not found
-            RunnerNotAuthorizedError: If runner not in bound plugins
-        """
-        # Parse and validate runner ID format
-        try:
-            parse_runner_id(runner_id)
-        except ValueError as e:
-            raise RunnerNotFoundError(runner_id) from e
-
-        # Get from cache or discover (always full list)
-        if self._cache is None:
-            await self.refresh()
-
-        if self._cache is None:
-            raise RunnerNotFoundError(runner_id)
-
-        descriptor = self._cache.get(runner_id)
-        if descriptor is None:
-            raise RunnerNotFoundError(runner_id)
-
-        # Check authorization
-        if bound_plugins is not None:
-            plugin_id = descriptor.get_plugin_id()
-            if plugin_id not in bound_plugins:
-                raise RunnerNotAuthorizedError(runner_id, bound_plugins)
-
-        return descriptor
-
-    async def get_runner_metadata_for_pipeline(self) -> list[dict[str, typing.Any]]:
-        """Get runner metadata for pipeline configuration UI.
-
-        Returns runner options and their config schemas for the DynamicForm.
-        """
-        # Get all runners (no bound plugin filter for metadata listing)
-        runners = await self.list_runners(bound_plugins=None)
-
-        options = []
-        stages = []
-
-        for descriptor in runners:
-            config_schema = []
-            for index, config_item in enumerate(descriptor.config_schema):
-                item = dict(config_item)
-                if not item.get('id'):
-                    item_name = item.get('name') or str(index)
-                    item['id'] = f'{descriptor.id}.{item_name}'
-                config_schema.append(item)
-
-            # Add runner option
-            options.append(
-                {
-                    'name': descriptor.id,
-                    'label': descriptor.label,
-                    'description': descriptor.description,
-                }
-            )
-
-            # Add config schema as stage if not empty
-            if descriptor.config_schema:
-                stages.append(
-                    {
-                        'name': descriptor.id,
-                        'label': descriptor.label,
-                        'description': descriptor.description,
-                        'config': config_schema,
-                    }
-                )
-
-        return options, stages

src/langbot/pkg/agent/runner/resource_builder.py

@@ -1,268 +0,0 @@
-"""Agent resource builder for constructing authorized resources."""
-from __future__ import annotations
-
-import typing
-
-from ...core import app
-from .descriptor import AgentRunnerDescriptor
-from .context_builder import (
-    AgentResources,
-    ModelResource,
-    ToolResource,
-    KnowledgeBaseResource,
-    StorageResource,
-)
-from . import config_schema
-from .host_models import AgentEventEnvelope, AgentBinding
-
-
-class AgentResourceBuilder:
-    """Builder for constructing AgentResources with permission filtering.
-
-    Responsibilities:
-    - Apply 3-layer permission filtering:
-        1. Runner manifest declared permissions
-        2. Pipeline extensions_preference (bound plugins/MCP servers)
-        3. Agent/runner config selected resources
-    - Build models list from authorized models
-    - Build tools list from bound plugins/MCP servers
-    - Build knowledge_bases list from config
-    - Build storage and files permissions summary
-
-    Note: This only builds the resource declaration. The actual proxy actions
-    in handler.py must still validate against ctx.resources at runtime.
-
-    Resource field names match the plugin SDK payload:
-    - ModelResource: model_id, model_type, provider
-    - ToolResource: tool_name, tool_type, description
-    - KnowledgeBaseResource: kb_id, kb_name, kb_type
-    - StorageResource: plugin_storage, workspace_storage
-    """
-
-    ap: app.Application
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-
-    async def build_resources_from_binding(
-        self,
-        event: AgentEventEnvelope,
-        binding: AgentBinding,
-        descriptor: AgentRunnerDescriptor,
-    ) -> AgentResources:
-        """Build AgentResources from event and binding.
-
-        This is the main entry point for Protocol v1.
-
-        Args:
-            event: Event envelope
-            binding: Agent binding with resource policy
-            descriptor: Runner descriptor with permissions and capabilities
-
-        Returns:
-            AgentResources dict with filtered resource lists
-        """
-        # Layer 1: Runner manifest permissions
-        manifest_perms = descriptor.permissions
-
-        # Layer 2: Binding resource policy
-        resource_policy = binding.resource_policy
-
-        # Layer 3: Agent/runner config
-        runner_config = binding.runner_config
-
-        # Build each resource category
-        models = await self._build_models_from_binding(
-            manifest_perms, resource_policy, descriptor, runner_config
-        )
-        tools = await self._build_tools_from_binding(
-            manifest_perms, resource_policy, binding
-        )
-        knowledge_bases = await self._build_knowledge_bases_from_binding(
-            manifest_perms, resource_policy, descriptor, runner_config
-        )
-        storage = self._build_storage_from_binding(manifest_perms, binding)
-
-        return {
-            'models': models,
-            'tools': tools,
-            'knowledge_bases': knowledge_bases,
-            'files': [],  # Files are populated at runtime
-            'storage': storage,
-            'platform_capabilities': {},  # Reserved for EBA
-        }
-
-    async def _build_models_from_binding(
-        self,
-        manifest_perms: dict[str, list[str]],
-        resource_policy: typing.Any,
-        descriptor: AgentRunnerDescriptor,
-        runner_config: dict[str, typing.Any],
-    ) -> list[ModelResource]:
-        """Build models list from binding."""
-        models: list[ModelResource] = []
-        seen_model_ids: set[str] = set()
-
-        model_perms = manifest_perms.get('models', [])
-        allow_llm = 'invoke' in model_perms or 'stream' in model_perms
-        allow_rerank = 'rerank' in model_perms
-        if not allow_llm and not allow_rerank:
-            return models
-
-        # Get additional model UUID grants from resource policy.
-        allowed_uuids = resource_policy.allowed_model_uuids
-
-        # Add model resources from Agent/runner config schema
-        await self._append_config_declared_model_resources(
-            models=models,
-            seen_model_ids=seen_model_ids,
-            descriptor=descriptor,
-            runner_config=runner_config,
-            include_llm=allow_llm,
-            include_rerank=allow_rerank,
-        )
-
-        # Add explicitly allowed models
-        if allowed_uuids and allow_llm:
-            for model_uuid in allowed_uuids:
-                await self._append_llm_model_resource(models, seen_model_ids, model_uuid)
-
-        return models
-
-    async def _build_tools_from_binding(
-        self,
-        manifest_perms: dict[str, list[str]],
-        resource_policy: typing.Any,
-        binding: AgentBinding,
-    ) -> list[ToolResource]:
-        """Build tools list from binding."""
-        tools: list[ToolResource] = []
-
-        # Check manifest permission
-        tool_perms = manifest_perms.get('tools', [])
-        if 'detail' not in tool_perms and 'call' not in tool_perms:
-            return tools
-
-        # Get tool names from resource policy
-        allowed_names = resource_policy.allowed_tool_names
-
-        if allowed_names:
-            for tool_name in allowed_names:
-                tools.append({
-                    'tool_name': tool_name,
-                    'tool_type': None,
-                    'description': None,
-                })
-
-        return tools
-
-    async def _build_knowledge_bases_from_binding(
-        self,
-        manifest_perms: dict[str, list[str]],
-        resource_policy: typing.Any,
-        descriptor: AgentRunnerDescriptor,
-        runner_config: dict[str, typing.Any],
-    ) -> list[KnowledgeBaseResource]:
-        """Build knowledge bases list from binding."""
-        kb_resources: list[KnowledgeBaseResource] = []
-
-        # Check manifest permission
-        kb_perms = manifest_perms.get('knowledge_bases', [])
-        if 'list' not in kb_perms and 'retrieve' not in kb_perms:
-            return kb_resources
-
-        # Get KB UUID grants from schema-defined config fields.
-        kb_uuids = config_schema.extract_knowledge_base_uuids(descriptor, runner_config)
-
-        # Also include resource policy grants.
-        allowed_uuids = resource_policy.allowed_kb_uuids
-        if allowed_uuids:
-            kb_uuids = list(dict.fromkeys([*kb_uuids, *allowed_uuids]))
-
-        for kb_uuid in kb_uuids:
-            try:
-                kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_uuid)
-                if kb:
-                    kb_resources.append({
-                        'kb_id': kb_uuid,
-                        'kb_name': kb.get_name(),
-                        'kb_type': kb.knowledge_base_entity.kb_type if hasattr(kb.knowledge_base_entity, 'kb_type') else None,
-                    })
-            except Exception as e:
-                self.ap.logger.warning(f'Failed to build knowledge base resource {kb_uuid}: {e}')
-
-        return kb_resources
-
-    def _build_storage_from_binding(
-        self,
-        manifest_perms: dict[str, list[str]],
-        binding: AgentBinding,
-    ) -> StorageResource:
-        """Build storage permissions from binding."""
-        storage_perms = manifest_perms.get('storage', [])
-        resource_policy = binding.resource_policy
-
-        return {
-            'plugin_storage': 'plugin' in storage_perms and resource_policy.allow_plugin_storage,
-            'workspace_storage': 'workspace' in storage_perms and resource_policy.allow_workspace_storage,
-        }
-
-    async def _append_config_declared_model_resources(
-        self,
-        models: list[ModelResource],
-        seen_model_ids: set[str],
-        descriptor: AgentRunnerDescriptor,
-        runner_config: dict[str, typing.Any],
-        include_llm: bool,
-        include_rerank: bool,
-    ) -> None:
-        """Authorize model-like values selected through DynamicForm fields."""
-        for model_type, model_uuid in config_schema.iter_config_model_refs(descriptor, runner_config):
-            if model_type == 'llm' and include_llm:
-                await self._append_llm_model_resource(models, seen_model_ids, model_uuid)
-            elif model_type == 'rerank' and include_rerank:
-                await self._append_rerank_model_resource(models, seen_model_ids, model_uuid)
-
-    async def _append_llm_model_resource(
-        self,
-        models: list[ModelResource],
-        seen_model_ids: set[str],
-        model_uuid: str | None,
-    ) -> None:
-        """Append an LLM model resource if it exists and has not been added."""
-        if not model_uuid or model_uuid == '__none__' or model_uuid in seen_model_ids:
-            return
-
-        try:
-            model = await self.ap.model_mgr.get_model_by_uuid(model_uuid)
-            if model and model.model_entity:
-                models.append({
-                    'model_id': model_uuid,
-                    'model_type': getattr(model.model_entity, 'model_type', None),
-                    'provider': getattr(model.provider_entity, 'name', None) if hasattr(model, 'provider_entity') else None,
-                })
-                seen_model_ids.add(model_uuid)
-        except Exception as e:
-            self.ap.logger.warning(f'Failed to build LLM model resource {model_uuid}: {e}')
-
-    async def _append_rerank_model_resource(
-        self,
-        models: list[ModelResource],
-        seen_model_ids: set[str],
-        model_uuid: str | None,
-    ) -> None:
-        """Append a rerank model resource if it exists and has not been added."""
-        if not model_uuid or model_uuid == '__none__' or model_uuid in seen_model_ids:
-            return
-
-        try:
-            model = await self.ap.model_mgr.get_rerank_model_by_uuid(model_uuid)
-            if model and model.model_entity:
-                models.append({
-                    'model_id': model_uuid,
-                    'model_type': getattr(model.model_entity, 'model_type', 'rerank') or 'rerank',
-                    'provider': getattr(model.provider_entity, 'name', None) if hasattr(model, 'provider_entity') else None,
-                })
-                seen_model_ids.add(model_uuid)
-        except Exception as e:
-            self.ap.logger.warning(f'Failed to build rerank model resource {model_uuid}: {e}')

src/langbot/pkg/agent/runner/result_normalizer.py

@@ -1,193 +0,0 @@
-"""Agent result normalizer for converting AgentRunResult to Pipeline messages."""
-from __future__ import annotations
-
-import typing
-
-from langbot_plugin.api.entities.builtin.provider import message as provider_message
-
-from ...core import app
-from .descriptor import AgentRunnerDescriptor
-from .errors import RunnerExecutionError, RunnerProtocolError
-
-
-# Maximum size for a single result payload (prevent memory exhaustion)
-MAX_RESULT_SIZE_BYTES = 1024 * 1024  # 1 MB
-
-
-class AgentResultNormalizer:
-    """Normalizer for converting AgentRunResult to Pipeline messages.
-
-    Responsibilities:
-    - Accept only supported result types (message.delta, message.completed, etc.)
-    - Map message.delta -> MessageChunk
-    - Map message.completed -> Message
-    - Map run.completed (with message) -> Message
-    - Handle run.failed as controlled error
-    - Ignore unknown types with warning
-    - Validate result size
-    - Validate message schema
-
-    Accepted result types:
-    - message.delta
-    - message.completed
-    - tool.call.started
-    - tool.call.completed
-    - state.updated
-    - run.completed
-    - run.failed
-    - action.requested (log only, don't execute)
-    """
-
-    ap: app.Application
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-
-    async def normalize(
-        self,
-        result_dict: dict[str, typing.Any],
-        descriptor: AgentRunnerDescriptor,
-    ) -> provider_message.Message | provider_message.MessageChunk | None:
-        """Normalize AgentRunResult to Message or MessageChunk.
-
-        Args:
-            result_dict: Raw result dict from plugin runtime
-            descriptor: Runner descriptor for error context
-
-        Returns:
-            Message, MessageChunk, or None (for non-message events)
-
-        Raises:
-            RunnerExecutionError: On run.failed
-            RunnerProtocolError: On invalid result format
-        """
-        # Validate result type
-        result_type = result_dict.get('type')
-        if not result_type:
-            raise RunnerProtocolError(descriptor.id, 'Missing result type')
-
-        # Validate result size
-        try:
-            import json
-            result_json = json.dumps(result_dict)
-            if len(result_json) > MAX_RESULT_SIZE_BYTES:
-                self.ap.logger.warning(
-                    f'Runner {descriptor.id} result too large ({len(result_json)} bytes), truncating'
-                )
-                # Truncate content if possible
-                data = result_dict.get('data', {})
-                if 'chunk' in data or 'message' in data:
-                    content = data.get('chunk', {}).get('content', '') or data.get('message', {}).get('content', '')
-                    if isinstance(content, str) and len(content) > 10000:
-                        # Keep reasonable length
-                        data['chunk'] = {'role': 'assistant', 'content': content[:10000] + '...[truncated]'}
-        except Exception as e:
-            self.ap.logger.warning(f'Failed to validate runner {descriptor.id} result size: {e}')
-
-        # Handle each result type
-        data = result_dict.get('data', {})
-
-        if result_type == 'message.delta':
-            return self._normalize_message_delta(data, descriptor)
-
-        elif result_type == 'message.completed':
-            return self._normalize_message_completed(data, descriptor)
-
-        elif result_type == 'tool.call.started':
-            # Log only, don't yield to pipeline
-            self.ap.logger.debug(
-                f'Runner {descriptor.id} tool call started: {data.get("tool_name", "unknown")}'
-            )
-            return None
-
-        elif result_type == 'tool.call.completed':
-            # Log only, don't yield to pipeline
-            self.ap.logger.debug(
-                f'Runner {descriptor.id} tool call completed: {data.get("tool_name", "unknown")}'
-            )
-            return None
-
-        elif result_type == 'state.updated':
-            # Log for telemetry, don't yield to pipeline
-            # Orchestrator already handles the actual PersistentStateStore update.
-            scope = data.get('scope', 'unknown')
-            key = data.get('key', 'unknown')
-            value_repr = repr(data.get('value', '...'))[:100]  # Truncate for log
-            self.ap.logger.debug(
-                f'Runner {descriptor.id} state.updated logged: scope={scope}, key={key}, value={value_repr}'
-            )
-            return None
-
-        elif result_type == 'run.completed':
-            # May include final message
-            if 'message' in data:
-                return self._normalize_message_completed(data, descriptor)
-            # If no message, it's just completion signal
-            return None
-
-        elif result_type == 'run.failed':
-            error_msg = data.get('error', 'Unknown error')
-            error_code = data.get('code', 'unknown')
-            retryable = data.get('retryable', False)
-            raise RunnerExecutionError(
-                descriptor.id,
-                f'{error_msg} (code: {error_code})',
-                retryable=retryable,
-            )
-
-        elif result_type == 'action.requested':
-            # Reserved for EBA - log only, don't execute
-            self.ap.logger.info(
-                f'Runner {descriptor.id} requested action (not executed in current phase): '
-                f'{data.get("action", "unknown")}'
-            )
-            return None
-
-        elif result_type == 'artifact.created':
-            # Log for telemetry, consumed by orchestrator
-            artifact_id = data.get('artifact_id', 'unknown')
-            artifact_type = data.get('artifact_type', 'unknown')
-            self.ap.logger.debug(
-                f'Runner {descriptor.id} artifact.created logged: artifact_id={artifact_id}, type={artifact_type}'
-            )
-            return None
-
-        else:
-            # Unknown type - warn and ignore.
-            self.ap.logger.warning(
-                f'Runner {descriptor.id} returned unknown result type: {result_type}. '
-                f'Expected supported types (message.delta, message.completed, run.completed, run.failed, etc.)'
-            )
-            return None
-
-    def _normalize_message_delta(
-        self,
-        data: dict[str, typing.Any],
-        descriptor: AgentRunnerDescriptor,
-    ) -> provider_message.MessageChunk:
-        """Normalize message.delta to MessageChunk."""
-        chunk_data = data.get('chunk', {})
-        if not chunk_data:
-            raise RunnerProtocolError(descriptor.id, 'message.delta missing chunk data')
-
-        try:
-            chunk = provider_message.MessageChunk.model_validate(chunk_data)
-            return chunk
-        except Exception as e:
-            raise RunnerProtocolError(descriptor.id, f'Invalid chunk schema: {e}')
-
-    def _normalize_message_completed(
-        self,
-        data: dict[str, typing.Any],
-        descriptor: AgentRunnerDescriptor,
-    ) -> provider_message.Message:
-        """Normalize message.completed to Message."""
-        message_data = data.get('message', {})
-        if not message_data:
-            raise RunnerProtocolError(descriptor.id, 'message.completed missing message data')
-
-        try:
-            msg = provider_message.Message.model_validate(message_data)
-            return msg
-        except Exception as e:
-            raise RunnerProtocolError(descriptor.id, f'Invalid message schema: {e}')

src/langbot/pkg/agent/runner/session_registry.py

@@ -1,263 +0,0 @@
-"""Agent run session registry for proxy action permission validation."""
-from __future__ import annotations
-
-import asyncio
-import copy
-import typing
-import time
-import threading
-
-from .context_builder import AgentResources
-
-
-class AgentRunSessionStatus(typing.TypedDict):
-    """Status tracking for agent run session."""
-    started_at: int
-    last_activity_at: int
-
-
-class RunAuthorizationSnapshot(typing.TypedDict):
-    """Frozen authorization data for one active run.
-
-    ResourceBuilder creates the authorized resource list once before runner
-    execution. Runtime proxy handlers must validate against this run-scoped
-    snapshot instead of recomputing resource policy.
-    """
-
-    resources: AgentResources
-    permissions: dict[str, list[str]]
-    conversation_id: str | None
-    state_policy: dict[str, typing.Any]
-    state_context: dict[str, typing.Any]
-    authorized_ids: dict[str, set[str]]
-
-
-class AgentRunSession(typing.TypedDict):
-    """Session for an active agent runner execution.
-
-    Stored in AgentRunSessionRegistry for proxy action permission validation.
-
-    Fields:
-        run_id: Unique run identifier (UUID from AgentRunContext)
-        runner_id: Runner descriptor ID (plugin:author/name/runner)
-        query_id: Host entry query ID, only present for query-based adapters
-        plugin_identity: Plugin identifier (author/name) of the runner
-        authorization: Run-scoped authorization snapshot; runtime auth truth
-        status: Session status tracking
-    """
-    run_id: str
-    runner_id: str
-    query_id: int | None
-    plugin_identity: str  # author/name
-    authorization: RunAuthorizationSnapshot
-    status: AgentRunSessionStatus
-
-
-class AgentRunSessionRegistry:
-    """Registry for active agent run sessions.
-
-    Host-owned registry for tracking active AgentRunner executions.
-    Used by proxy actions in handler.py to validate resource access.
-
-    Key: run_id (UUID from AgentRunContext)
-    Value: AgentRunSession with authorized resources
-
-    Thread-safe via asyncio.Lock.
-    """
-
-    _sessions: dict[str, AgentRunSession]
-    _lock: asyncio.Lock
-
-    def __init__(self):
-        self._sessions = {}
-        self._lock = asyncio.Lock()
-
-    async def register(
-        self,
-        run_id: str,
-        runner_id: str,
-        query_id: int | None,
-        plugin_identity: str,
-        resources: AgentResources,
-        conversation_id: str | None = None,
-        permissions: dict[str, list[str]] | None = None,
-        state_policy: dict[str, typing.Any] | None = None,
-        state_context: dict[str, typing.Any] | None = None,
-    ) -> None:
-        """Register a new agent run session.
-
-        Args:
-            run_id: Unique run identifier
-            runner_id: Runner descriptor ID
-            query_id: Host entry query ID, only present for query-based adapters
-            plugin_identity: Plugin identifier (author/name)
-            resources: Authorized resources for this run
-            conversation_id: Conversation ID for history/event access
-            permissions: Runner permissions from descriptor (artifacts, history, events, etc.)
-            state_policy: State policy from binding (enable_state, state_scopes)
-            state_context: Context for state API (scope_keys, binding_identity, etc.)
-        """
-        now = int(time.time())
-
-        # Normalize permissions to empty dict if None
-        permissions = permissions or {}
-
-        # Normalize state_policy to defaults if None
-        if state_policy is None:
-            state_policy = {'enable_state': True, 'state_scopes': ['conversation', 'actor']}
-
-        # Normalize state_context to empty dict if None
-        state_context = state_context or {}
-
-        resources_snapshot = copy.deepcopy(resources)
-        authorization: RunAuthorizationSnapshot = {
-            'resources': resources_snapshot,
-            'permissions': copy.deepcopy(permissions),
-            'conversation_id': conversation_id,
-            'state_policy': copy.deepcopy(state_policy),
-            'state_context': copy.deepcopy(state_context),
-            'authorized_ids': self._build_authorized_ids(resources_snapshot),
-        }
-
-        session: AgentRunSession = {
-            'run_id': run_id,
-            'runner_id': runner_id,
-            'query_id': query_id,
-            'plugin_identity': plugin_identity,
-            'authorization': authorization,
-            'status': {
-                'started_at': now,
-                'last_activity_at': now,
-            },
-        }
-
-        async with self._lock:
-            self._sessions[run_id] = session
-
-    def _build_authorized_ids(self, resources: AgentResources) -> dict[str, set[str]]:
-        """Pre-compute authorized resource IDs for O(1) lookup."""
-        return {
-            'model': {m.get('model_id') for m in resources.get('models', [])},
-            'tool': {t.get('tool_name') for t in resources.get('tools', [])},
-            'knowledge_base': {kb.get('kb_id') for kb in resources.get('knowledge_bases', [])},
-            'file': {f.get('file_id') for f in resources.get('files', [])},
-        }
-
-    async def unregister(self, run_id: str) -> None:
-        """Unregister an agent run session.
-
-        Args:
-            run_id: Unique run identifier
-        """
-        async with self._lock:
-            if run_id in self._sessions:
-                del self._sessions[run_id]
-
-    async def get(self, run_id: str) -> AgentRunSession | None:
-        """Get session by run_id.
-
-        Args:
-            run_id: Unique run identifier
-
-        Returns:
-            AgentRunSession if found, None otherwise
-        """
-        async with self._lock:
-            return self._sessions.get(run_id)
-
-    async def update_activity(self, run_id: str) -> None:
-        """Update last activity timestamp for session.
-
-        Args:
-            run_id: Unique run identifier
-        """
-        async with self._lock:
-            if run_id in self._sessions:
-                self._sessions[run_id]['status']['last_activity_at'] = int(time.time())
-
-    def is_resource_allowed(
-        self,
-        session: AgentRunSession,
-        resource_type: str,
-        resource_id: str,
-    ) -> bool:
-        """Check if resource access is allowed for this session.
-
-        Uses pre-computed authorized IDs for O(1) lookup.
-
-        Args:
-            session: AgentRunSession to check
-            resource_type: Resource type ('model', 'tool', 'knowledge_base', 'storage', 'file')
-            resource_id: Resource identifier (model_id, tool_name, kb_id, 'plugin'/'workspace', file_key)
-
-        Returns:
-            True if resource is authorized, False otherwise
-        """
-        authorization = session['authorization']
-        authorized_ids = authorization['authorized_ids']
-        resources = authorization['resources']
-
-        if resource_type in ('model', 'tool', 'knowledge_base', 'file'):
-            return resource_id in authorized_ids.get(resource_type, set())
-
-        if resource_type == 'storage':
-            storage = resources.get('storage', {})
-            if resource_id == 'plugin':
-                return storage.get('plugin_storage', False)
-            elif resource_id == 'workspace':
-                return storage.get('workspace_storage', False)
-            return False
-
-        return False
-
-    async def list_active_runs(self) -> list[AgentRunSession]:
-        """List all active run sessions.
-
-        Returns:
-            List of active AgentRunSession dicts
-        """
-        async with self._lock:
-            return list(self._sessions.values())
-
-    async def cleanup_stale_sessions(self, max_age_seconds: int = 3600) -> int:
-        """Cleanup sessions that have been inactive for too long.
-
-        Args:
-            max_age_seconds: Maximum inactivity time in seconds (default 1 hour)
-
-        Returns:
-            Number of sessions cleaned up
-        """
-        now = int(time.time())
-        cleaned = 0
-
-        async with self._lock:
-            stale_run_ids = []
-            for run_id, session in self._sessions.items():
-                last_activity = session['status'].get('last_activity_at', 0)
-                if now - last_activity > max_age_seconds:
-                    stale_run_ids.append(run_id)
-
-            for run_id in stale_run_ids:
-                del self._sessions[run_id]
-                cleaned += 1
-
-        return cleaned
-
-
-# Global registry instance (singleton)
-_global_registry: AgentRunSessionRegistry | None = None
-_global_registry_lock = threading.Lock()
-
-
-def get_session_registry() -> AgentRunSessionRegistry:
-    """Get global session registry instance (thread-safe singleton).
-
-    Returns:
-        AgentRunSessionRegistry singleton
-    """
-    global _global_registry
-    with _global_registry_lock:
-        if _global_registry is None:
-            _global_registry = AgentRunSessionRegistry()
-        return _global_registry

src/langbot/pkg/agent/runner/state_scope.py

@@ -1,113 +0,0 @@
-"""State scope key helpers for AgentRunner host-owned state."""
-from __future__ import annotations
-
-import typing
-
-from .descriptor import AgentRunnerDescriptor
-from .host_models import AgentBinding, AgentEventEnvelope
-
-
-VALID_STATE_SCOPES = ('conversation', 'actor', 'subject', 'runner')
-
-STATE_KEY_ALIASES = {
-    'conversation_id': 'external.conversation_id',
-}
-
-
-def normalize_state_key(key: str) -> str:
-    """Map accepted public aliases to protocol state keys."""
-    return STATE_KEY_ALIASES.get(key, key)
-
-
-def get_binding_identity(binding: AgentBinding) -> str:
-    """Return the stable binding identity used for state isolation."""
-    if binding.binding_id:
-        return binding.binding_id
-
-    scope = binding.scope
-    if scope.scope_type and scope.scope_id:
-        return f'{scope.scope_type}:{scope.scope_id}'
-
-    return 'unknown_binding'
-
-
-def build_state_scope_key(
-    scope: str,
-    event: AgentEventEnvelope,
-    binding: AgentBinding,
-    descriptor: AgentRunnerDescriptor,
-) -> str | None:
-    """Build the storage key for one state scope.
-
-    Returns None when the event lacks the identity required by that scope.
-    """
-    binding_identity = get_binding_identity(binding)
-
-    if scope == 'conversation':
-        if not event.conversation_id:
-            return None
-        parts = [descriptor.id, binding_identity, event.conversation_id]
-        if event.thread_id:
-            parts.append(event.thread_id)
-        return f'conversation:{":".join(parts)}'
-
-    if scope == 'actor':
-        if not event.actor or not event.actor.actor_id:
-            return None
-        parts = [
-            descriptor.id,
-            binding_identity,
-            event.actor.actor_type or 'user',
-            event.actor.actor_id,
-        ]
-        return f'actor:{":".join(parts)}'
-
-    if scope == 'subject':
-        if not event.subject or not event.subject.subject_id:
-            return None
-        parts = [
-            descriptor.id,
-            binding_identity,
-            event.subject.subject_type or 'unknown',
-            event.subject.subject_id,
-        ]
-        return f'subject:{":".join(parts)}'
-
-    if scope == 'runner':
-        return f'runner:{descriptor.id}:{binding_identity}'
-
-    return None
-
-
-def build_state_scope_keys(
-    event: AgentEventEnvelope,
-    binding: AgentBinding,
-    descriptor: AgentRunnerDescriptor,
-) -> dict[str, str]:
-    """Build all available scope keys for an event/binding pair."""
-    scope_keys: dict[str, str] = {}
-    for scope in VALID_STATE_SCOPES:
-        scope_key = build_state_scope_key(scope, event, binding, descriptor)
-        if scope_key:
-            scope_keys[scope] = scope_key
-    return scope_keys
-
-
-def build_state_context(
-    event: AgentEventEnvelope,
-    binding: AgentBinding,
-    descriptor: AgentRunnerDescriptor,
-) -> dict[str, typing.Any]:
-    """Build the State API context stored in the run session."""
-    return {
-        'scope_keys': build_state_scope_keys(event, binding, descriptor),
-        'binding_identity': get_binding_identity(binding),
-        'bot_id': event.bot_id,
-        'workspace_id': event.workspace_id,
-        'conversation_id': event.conversation_id,
-        'thread_id': event.thread_id,
-        'actor_type': event.actor.actor_type if event.actor else None,
-        'actor_id': event.actor.actor_id if event.actor else None,
-        'subject_type': event.subject.subject_type if event.subject else None,
-        'subject_id': event.subject.subject_id if event.subject else None,
-    }

src/langbot/pkg/agent/runner/transcript_store.py

@@ -1,341 +0,0 @@
-"""Transcript store for writing and querying conversation history."""
-from __future__ import annotations
-
-import json
-import datetime
-import typing
-import uuid
-
-import sqlalchemy
-from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
-from sqlalchemy.orm import sessionmaker
-
-from ...entity.persistence.transcript import Transcript
-from langbot_plugin.api.entities.builtin.provider import message as provider_message
-
-
-class TranscriptStore:
-    """Store for Transcript records.
-
-    Handles writing transcript items and querying them for history API.
-    All methods are async and use the provided database engine.
-    """
-
-    engine: AsyncEngine
-
-    # Hard limits
-    MAX_CONTENT_LENGTH = 4000
-    HARD_LIMIT = 100
-
-    def __init__(self, engine: AsyncEngine):
-        self.engine = engine
-        self._session_factory = sessionmaker(
-            engine, class_=AsyncSession, expire_on_commit=False
-        )
-
-    async def append_transcript(
-        self,
-        transcript_id: str | None,
-        event_id: str,
-        conversation_id: str,
-        role: str,
-        content: str | None = None,
-        content_json: dict[str, typing.Any] | None = None,
-        artifact_refs: list[dict[str, typing.Any]] | None = None,
-        thread_id: str | None = None,
-        item_type: str = "message",
-        run_id: str | None = None,
-        runner_id: str | None = None,
-        metadata: dict[str, typing.Any] | None = None,
-    ) -> str:
-        """Append a transcript item.
-
-        Args:
-            transcript_id: Unique transcript ID (generated if None)
-            event_id: Source event ID
-            conversation_id: Conversation ID
-            role: Message role (user, assistant, system, tool)
-            content: Text content
-            content_json: Full structured content
-            artifact_refs: Artifact references
-            thread_id: Thread ID
-            item_type: Item type
-            run_id: Run ID that generated this
-            runner_id: Runner ID that generated this
-            metadata: Additional metadata
-
-        Returns:
-            The transcript_id
-        """
-        if transcript_id is None:
-            transcript_id = str(uuid.uuid4())
-
-        # Truncate content if too long
-        if content and len(content) > self.MAX_CONTENT_LENGTH:
-            content = content[:self.MAX_CONTENT_LENGTH - 3] + "..."
-
-        async with self._session_factory() as session:
-            item = Transcript(
-                transcript_id=transcript_id,
-                event_id=event_id,
-                conversation_id=conversation_id,
-                thread_id=thread_id,
-                role=role,
-                item_type=item_type,
-                content=content,
-                content_json=json.dumps(content_json) if content_json else None,
-                artifact_refs_json=json.dumps(artifact_refs) if artifact_refs else None,
-                seq=0,
-                run_id=run_id,
-                runner_id=runner_id,
-                created_at=datetime.datetime.utcnow(),
-                metadata_json=json.dumps(metadata) if metadata else None,
-            )
-            session.add(item)
-            await session.flush()
-            item.seq = item.id or await self._get_next_seq(conversation_id)
-            await session.commit()
-
-        return transcript_id
-
-    async def page_transcript(
-        self,
-        conversation_id: str,
-        before_seq: int | None = None,
-        after_seq: int | None = None,
-        limit: int = 50,
-        direction: str = "backward",
-        include_artifacts: bool = False,
-    ) -> tuple[list[dict[str, typing.Any]], int | None, int | None, bool]:
-        """Page through transcript items.
-
-        Args:
-            conversation_id: Conversation ID
-            before_seq: Get items before this sequence (backward)
-            after_seq: Get items after this sequence (forward)
-            limit: Maximum items to return (capped at 100)
-            direction: 'backward' (older) or 'forward' (newer)
-            include_artifacts: Include artifact refs
-
-        Returns:
-            Tuple of (items, next_seq, prev_seq, has_more)
-        """
-        limit = min(limit, self.HARD_LIMIT)
-
-        async with self._session_factory() as session:
-            query = sqlalchemy.select(Transcript).where(
-                Transcript.conversation_id == conversation_id
-            )
-
-            if direction == "backward" and before_seq is not None:
-                query = query.where(Transcript.seq < before_seq)
-                query = query.order_by(Transcript.seq.desc())
-            elif direction == "forward" and after_seq is not None:
-                query = query.where(Transcript.seq > after_seq)
-                query = query.order_by(Transcript.seq.asc())
-            else:
-                # Default: most recent items first (backward from latest)
-                query = query.order_by(Transcript.seq.desc())
-
-            query = query.limit(limit + 1)
-
-            result = await session.execute(query)
-            rows = result.scalars().all()
-
-            items = [self._row_to_dict(row, include_artifacts) for row in rows[:limit]]
-            has_more = len(rows) > limit
-
-            # Calculate cursors
-            next_seq = None
-            prev_seq = None
-
-            if direction == "backward":
-                # Items are in descending order
-                if items:
-                    next_seq = items[-1].get('seq') if has_more else None
-                    prev_seq = items[0].get('seq')
-            else:
-                # Items are in ascending order
-                if items:
-                    next_seq = items[-1].get('seq') if has_more else None
-                    prev_seq = items[0].get('seq')
-
-            return items, next_seq, prev_seq, has_more
-
-    async def search_transcript(
-        self,
-        conversation_id: str,
-        query_text: str,
-        filters: dict[str, typing.Any] | None = None,
-        top_k: int = 10,
-    ) -> list[dict[str, typing.Any]]:
-        """Search transcript items.
-
-        Basic implementation using LIKE filtering.
-
-        Args:
-            conversation_id: Conversation ID
-            query_text: Search query
-            filters: Optional filters
-            top_k: Maximum results
-
-        Returns:
-            List of matching items
-        """
-        async with self._session_factory() as session:
-            query = sqlalchemy.select(Transcript).where(
-                Transcript.conversation_id == conversation_id,
-                Transcript.content.ilike(f"%{query_text}%"),
-            )
-
-            # Apply additional filters
-            if filters:
-                if 'roles' in filters:
-                    query = query.where(Transcript.role.in_(filters['roles']))
-                if 'item_types' in filters:
-                    query = query.where(Transcript.item_type.in_(filters['item_types']))
-
-            query = query.order_by(Transcript.seq.desc()).limit(top_k)
-
-            result = await session.execute(query)
-            rows = result.scalars().all()
-
-            return [self._row_to_dict(row, include_artifacts=True) for row in rows]
-
-    async def get_latest_cursor(
-        self,
-        conversation_id: str,
-    ) -> str | None:
-        """Get the latest cursor for a conversation.
-
-        Args:
-            conversation_id: Conversation ID
-
-        Returns:
-            Cursor string (seq number), or None if no items
-        """
-        async with self._session_factory() as session:
-            result = await session.execute(
-                sqlalchemy.select(Transcript.seq)
-                .where(Transcript.conversation_id == conversation_id)
-                .order_by(Transcript.seq.desc())
-                .limit(1)
-            )
-            row = result.scalars().first()
-            if row is None:
-                return None
-            return str(row)
-
-    async def get_legacy_provider_messages(
-        self,
-        conversation_id: str,
-        limit: int = HARD_LIMIT,
-    ) -> list[provider_message.Message]:
-        """Project Transcript rows into the legacy provider Message view.
-
-        AgentRunner history is canonical in Transcript. This view exists for
-        legacy Pipeline readers such as PromptPreProcessing that still expect
-        query.messages.
-        """
-        items, _, _, _ = await self.page_transcript(
-            conversation_id=conversation_id,
-            limit=limit,
-            direction="backward",
-        )
-
-        messages: list[provider_message.Message] = []
-        for item in reversed(items):
-            message = self._transcript_item_to_provider_message(item)
-            if message is not None:
-                messages.append(message)
-        return messages
-
-    async def has_history_before(
-        self,
-        conversation_id: str,
-        seq: int,
-    ) -> bool:
-        """Check if there is history before a sequence number.
-
-        Args:
-            conversation_id: Conversation ID
-            seq: Sequence number
-
-        Returns:
-            True if there are items before
-        """
-        async with self._session_factory() as session:
-            result = await session.execute(
-                sqlalchemy.select(sqlalchemy.func.count())
-                .select_from(Transcript)
-                .where(
-                    Transcript.conversation_id == conversation_id,
-                    Transcript.seq < seq,
-                )
-            )
-            count = result.scalar()
-            return count > 0
-
-    async def _get_next_seq(self, conversation_id: str) -> int:
-        """Fallback next sequence number for stores that cannot expose autoincrement IDs."""
-        async with self._session_factory() as session:
-            result = await session.execute(
-                sqlalchemy.select(sqlalchemy.func.max(Transcript.seq))
-                .where(Transcript.conversation_id == conversation_id)
-            )
-            max_seq = result.scalar()
-            return (max_seq or 0) + 1
-
-    def _row_to_dict(
-        self,
-        row: Transcript,
-        include_artifacts: bool = False,
-    ) -> dict[str, typing.Any]:
-        """Convert a Transcript row to dict."""
-        result = {
-            'transcript_id': row.transcript_id,
-            'event_id': row.event_id,
-            'conversation_id': row.conversation_id,
-            'thread_id': row.thread_id,
-            'role': row.role,
-            'item_type': row.item_type,
-            'content': row.content,
-            'content_json': json.loads(row.content_json) if row.content_json else None,
-            'seq': row.seq,
-            'cursor': str(row.seq),
-            'created_at': int(row.created_at.timestamp()) if row.created_at else None,
-            'metadata': json.loads(row.metadata_json) if row.metadata_json else {},
-        }
-
-        if include_artifacts and row.artifact_refs_json:
-            result['artifact_refs'] = json.loads(row.artifact_refs_json)
-        else:
-            result['artifact_refs'] = []
-
-        return result
-
-    def _transcript_item_to_provider_message(
-        self,
-        item: dict[str, typing.Any],
-    ) -> provider_message.Message | None:
-        """Convert one Transcript API item into a provider Message."""
-        if item.get('item_type') != 'message':
-            return None
-
-        role = item.get('role')
-        if role not in {'user', 'assistant'}:
-            return None
-
-        content_json = item.get('content_json')
-        if isinstance(content_json, dict):
-            message_data = dict(content_json)
-            message_data['role'] = role
-            try:
-                return provider_message.Message.model_validate(message_data)
-            except Exception:
-                pass
-
-        content = item.get('content')
-        if content is None:
-            return None
-        return provider_message.Message(role=role, content=content)

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

@@ -1,22 +0,0 @@
-from __future__ import annotations
-
-from .. import group
-
-
-@group.group_class('box', '/api/v1/box')
-class BoxRouterGroup(group.RouterGroup):
-    async def initialize(self) -> None:
-        @self.route('/status', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
-        async def _() -> str:
-            status = await self.ap.box_service.get_status()
-            return self.success(data=status)
-
-        @self.route('/sessions', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
-        async def _() -> str:
-            sessions = await self.ap.box_service.get_sessions()
-            return self.success(data=sessions)
-
-        @self.route('/errors', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
-        async def _() -> str:
-            errors = self.ap.box_service.get_recent_errors()
-            return self.success(data=errors)

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

@@ -1,52 +0,0 @@
-from __future__ import annotations
-
-import asyncio
-import quart
-
-from .. import group
-
-
-@group.group_class('extensions', '/api/v1/extensions')
-class ExtensionsRouterGroup(group.RouterGroup):
-    """Unified API for installed extensions (plugins, MCP servers, skills)."""
-
-    async def initialize(self) -> None:
-        @self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def _() -> quart.Response:
-            plugins, mcp_servers, skills = await asyncio.gather(
-                self.ap.plugin_connector.list_plugins(),
-                self.ap.mcp_service.get_mcp_servers(contain_runtime_info=True),
-                self.ap.skill_service.list_skills(),
-                return_exceptions=True,
-            )
-
-            def _sort_key(item: dict) -> str:
-                if item['type'] == 'plugin':
-                    return (
-                        item['plugin']
-                        .get('manifest', {})
-                        .get('manifest', {})
-                        .get('metadata', {})
-                        .get('name', '')
-                        .lower()
-                    )
-                if item['type'] == 'mcp':
-                    return (item['server'].get('name') or '').lower()
-                if item['type'] == 'skill':
-                    return (item['skill'].get('display_name') or item['skill'].get('name') or '').lower()
-                return ''
-
-            extensions: list[dict] = []
-            if isinstance(plugins, list):
-                for plugin in plugins:
-                    extensions.append({'type': 'plugin', 'plugin': plugin})
-            if isinstance(mcp_servers, list):
-                for server in mcp_servers:
-                    extensions.append({'type': 'mcp', 'server': server})
-            if isinstance(skills, list):
-                for skill in skills:
-                    extensions.append({'type': 'skill', 'skill': skill})
-
-            extensions.sort(key=_sort_key)
-
-            return self.success(data={'extensions': extensions})

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

@@ -73,21 +73,15 @@ class PipelinesRouterGroup(group.RouterGroup):
                 plugins = await self.ap.plugin_connector.list_plugins(component_kinds=pipeline_component_kinds)
                 mcp_servers = await self.ap.mcp_service.get_mcp_servers(contain_runtime_info=True)
 
-                # Get available skills
-                available_skills = await self.ap.skill_service.list_skills()
-
                 extensions_prefs = pipeline.get('extensions_preferences', {})
                 return self.success(
                     data={
                         'enable_all_plugins': extensions_prefs.get('enable_all_plugins', True),
                         'enable_all_mcp_servers': extensions_prefs.get('enable_all_mcp_servers', True),
-                        'enable_all_skills': extensions_prefs.get('enable_all_skills', True),
                         'bound_plugins': extensions_prefs.get('plugins', []),
                         'available_plugins': plugins,
                         'bound_mcp_servers': extensions_prefs.get('mcp_servers', []),
                         'available_mcp_servers': mcp_servers,
-                        'bound_skills': extensions_prefs.get('skills', []),
-                        'available_skills': available_skills,
                     }
                 )
             elif quart.request.method == 'PUT':
@@ -95,19 +89,11 @@ class PipelinesRouterGroup(group.RouterGroup):
                 json_data = await quart.request.json
                 enable_all_plugins = json_data.get('enable_all_plugins', True)
                 enable_all_mcp_servers = json_data.get('enable_all_mcp_servers', True)
-                enable_all_skills = json_data.get('enable_all_skills', True)
                 bound_plugins = json_data.get('bound_plugins', [])
                 bound_mcp_servers = json_data.get('bound_mcp_servers', [])
-                bound_skills = json_data.get('bound_skills', [])
 
                 await self.ap.pipeline_service.update_pipeline_extensions(
-                    pipeline_uuid,
+                    pipeline_uuid, bound_plugins, bound_mcp_servers, enable_all_plugins, enable_all_mcp_servers
-                    bound_plugins,
-                    bound_mcp_servers,
-                    enable_all_plugins,
-                    enable_all_mcp_servers,
-                    bound_skills=bound_skills,
-                    enable_all_skills=enable_all_skills,
                 )
 
                 return self.success()

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

@@ -43,12 +43,8 @@ class WebSocketChatRouterGroup(group.RouterGroup):
                     await quart.websocket.send(json.dumps({'type': 'error', 'message': 'WebSocket adapter not found'}))
                     return
 
-                # Dashboard pipeline-debug sessions must always run under the
+                # Find the owning bot for this pipeline (e.g. a web_page_bot)
-                # built-in websocket_proxy_bot identity. We deliberately do NOT
+                owner_bot = self._find_owner_bot(pipeline_uuid)
-                # resolve a web_page_bot owner here — even if one is bound to
-                # the same pipeline, debug requests must not be attributed to
-                # it. The embed widget path (`/api/v1/embed/<bot>/ws/connect`)
-                # is the one that carries the page-bot identity.
 
                 # 注册连接
                 connection = await ws_connection_manager.add_connection(
@@ -77,7 +73,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
                 )
 
                 # 创建接收和发送任务
-                receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter))
+                receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter, owner_bot))
                 send_task = asyncio.create_task(self._handle_send(connection))
 
                 # 等待任务完成
@@ -185,7 +181,14 @@ class WebSocketChatRouterGroup(group.RouterGroup):
             except Exception as e:
                 return self.http_status(500, -1, f'Internal server error: {str(e)}')
 
-    async def _handle_receive(self, connection, websocket_adapter):
+    def _find_owner_bot(self, pipeline_uuid: str):
+        """Find a user-created bot (e.g. web_page_bot) that owns this pipeline."""
+        for bot in self.ap.platform_mgr.bots:
+            if bot.bot_entity.adapter == 'web_page_bot' and bot.bot_entity.use_pipeline_uuid == pipeline_uuid:
+                return bot
+        return None
+
+    async def _handle_receive(self, connection, websocket_adapter, owner_bot=None):
         """处理接收消息的任务"""
         try:
             while connection.is_active:
@@ -210,10 +213,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
                         logger.debug(f'收到消息: {data} from {connection.connection_id}')
 
                         # 处理消息（不等待响应，响应会通过broadcast异步发送）
-                        # owner_bot is intentionally NOT passed: the dashboard
+                        await websocket_adapter.handle_websocket_message(connection, data, owner_bot=owner_bot)
-                        # debug WebSocket must always run under the proxy bot,
-                        # never under a coincidentally-bound web_page_bot.
-                        await websocket_adapter.handle_websocket_message(connection, data)
 
                     elif message_type == 'disconnect':
                         # 客户端主动断开

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

@@ -1,6 +1,5 @@
 import quart
 import mimetypes
-import asyncio
 from ... import group
 from langbot.pkg.utils import importutil
 
@@ -36,617 +35,3 @@ class AdaptersRouterGroup(group.RouterGroup):
             return quart.Response(
                 importutil.read_resource_file_bytes(icon_path), mimetype=mimetypes.guess_type(icon_path)[0]
             )
-
-        # In-memory session store for active registrations
-        _create_app_sessions: dict = {}
-        _SESSION_TTL = 900  # 15 minutes
-
-        def _cleanup_expired_sessions():
-            """Remove sessions that have exceeded their TTL."""
-            import time
-
-            now = time.time()
-            expired = [sid for sid, s in _create_app_sessions.items() if now - s.get('created_at', 0) > _SESSION_TTL]
-            for sid in expired:
-                session = _create_app_sessions.pop(sid, None)
-                if session and session.get('task') and not session['task'].done():
-                    session['task'].cancel()
-
-        @self.route('/lark/create-app', methods=['POST'])
-        async def _() -> str:
-            """Start Feishu one-click app registration. Returns session_id + QR code URL."""
-            import uuid
-            import time
-            import lark_oapi as lark
-            from lark_oapi.scene.registration.errors import AppAccessDeniedError, AppExpiredError
-
-            _cleanup_expired_sessions()
-
-            session_id = str(uuid.uuid4())
-            loop = asyncio.get_running_loop()
-
-            session = {
-                'status': 'pending',
-                'qr_url': None,
-                'expire_at': None,
-                'app_id': None,
-                'app_secret': None,
-                'error': None,
-                'created_at': time.time(),
-            }
-            _create_app_sessions[session_id] = session
-
-            def on_qr_code(info):
-                # May be called from a background thread by the SDK;
-                # use call_soon_threadsafe to safely update session state.
-                def _update():
-                    session['qr_url'] = info['url']
-                    session['expire_at'] = time.time() + 600  # 10 minutes
-                    session['status'] = 'waiting'
-
-                loop.call_soon_threadsafe(_update)
-
-            async def run_registration():
-                try:
-                    result = await lark.aregister_app(
-                        on_qr_code=on_qr_code,
-                        source='langbot',
-                    )
-                    session['status'] = 'success'
-                    session['app_id'] = result['client_id']
-                    session['app_secret'] = result['client_secret']
-                except AppAccessDeniedError:
-                    session['status'] = 'error'
-                    session['error'] = 'User denied authorization'
-                except AppExpiredError:
-                    session['status'] = 'error'
-                    session['error'] = 'QR code expired'
-                except Exception as e:
-                    session['status'] = 'error'
-                    session['error'] = str(e)
-
-            task = asyncio.create_task(run_registration())
-            session['task'] = task
-
-            # Wait for QR code to be ready (max 10 seconds)
-            for _ in range(20):
-                if session['qr_url']:
-                    break
-                await asyncio.sleep(0.5)
-
-            if not session['qr_url']:
-                task.cancel()
-                session['status'] = 'error'
-                session['error'] = 'Timeout waiting for QR code'
-                return self.http_status(504, -1, 'Timeout waiting for QR code')
-
-            return self.success(
-                data={
-                    'session_id': session_id,
-                    'qr_url': session['qr_url'],
-                    'expire_at': session['expire_at'],
-                }
-            )
-
-        @self.route('/lark/create-app/status/<session_id>', methods=['GET'])
-        async def _(session_id: str) -> str:
-            """Poll registration status."""
-            session = _create_app_sessions.get(session_id)
-            if not session:
-                return self.http_status(404, -1, 'Session not found')
-
-            data = {'status': session['status']}
-
-            if session['status'] == 'success':
-                data['app_id'] = session['app_id']
-                data['app_secret'] = session['app_secret']
-                _create_app_sessions.pop(session_id, None)
-            elif session['status'] == 'error':
-                data['error'] = session['error']
-                _create_app_sessions.pop(session_id, None)
-
-            return self.success(data=data)
-
-        @self.route('/lark/create-app/<session_id>', methods=['DELETE'])
-        async def _(session_id: str) -> str:
-            """Cancel and clean up a registration session."""
-            session = _create_app_sessions.pop(session_id, None)
-            if session and session.get('task') and not session['task'].done():
-                session['task'].cancel()
-            return self.success(data={})
-
-        # -----------------------------------------------------------------------
-        # WeChat QR Code Login
-        # -----------------------------------------------------------------------
-
-        _weixin_login_sessions: dict = {}
-        _WEIXIN_SESSION_TTL = 600  # 10 minutes (3 retries × 3 min QR validity)
-
-        def _cleanup_expired_weixin_sessions():
-            import time
-
-            now = time.time()
-            expired = [
-                sid for sid, s in _weixin_login_sessions.items() if now - s.get('created_at', 0) > _WEIXIN_SESSION_TTL
-            ]
-            for sid in expired:
-                session = _weixin_login_sessions.pop(sid, None)
-                if session and session.get('task') and not session['task'].done():
-                    session['task'].cancel()
-
-        @self.route('/weixin/login', methods=['POST'])
-        async def _() -> str:
-            """Start WeChat QR code login. Returns session_id + QR code data URL."""
-            import uuid
-            import time
-
-            from langbot.libs.openclaw_weixin_api.client import OpenClawWeixinClient, DEFAULT_BASE_URL
-
-            _cleanup_expired_weixin_sessions()
-
-            session_id = str(uuid.uuid4())
-            loop = asyncio.get_running_loop()
-
-            session = {
-                'status': 'pending',
-                'qr_data_url': None,
-                'expire_at': None,
-                'token': None,
-                'base_url': None,
-                'account_id': None,
-                'error': None,
-                'created_at': time.time(),
-            }
-            _weixin_login_sessions[session_id] = session
-
-            client = OpenClawWeixinClient(
-                base_url=DEFAULT_BASE_URL,
-                token='',
-            )
-
-            async def run_login():
-                try:
-
-                    def on_qrcode(qr_data_url: str, _qr_url: str):
-                        def _update():
-                            session['qr_data_url'] = qr_data_url
-                            session['expire_at'] = time.time() + 180
-                            session['status'] = 'waiting'
-
-                        loop.call_soon_threadsafe(_update)
-
-                    result = await client.login(
-                        max_retries=1,
-                        poll_timeout_ms=180_000,
-                        on_qrcode=on_qrcode,
-                    )
-                    session['status'] = 'success'
-                    session['token'] = result.token
-                    session['base_url'] = result.base_url
-                    session['account_id'] = result.account_id
-                except Exception as e:
-                    error_message = str(e)
-                    if 'expired' in error_message.lower() or 'max retries exceeded' in error_message.lower():
-                        session['status'] = 'expired'
-                        session['error'] = 'QR code expired'
-                    else:
-                        session['status'] = 'error'
-                        session['error'] = error_message
-                finally:
-                    await client.close()
-
-            task = asyncio.create_task(run_login())
-            session['task'] = task
-
-            # Wait for QR code to be ready (max 10 seconds)
-            for _ in range(20):
-                if session['qr_data_url']:
-                    break
-                await asyncio.sleep(0.5)
-
-            if not session['qr_data_url']:
-                task.cancel()
-                session['status'] = 'error'
-                session['error'] = 'Timeout waiting for QR code'
-                return self.http_status(504, -1, 'Timeout waiting for QR code')
-
-            return self.success(
-                data={
-                    'session_id': session_id,
-                    'qr_data_url': session['qr_data_url'],
-                    'expire_at': session['expire_at'],
-                }
-            )
-
-        @self.route('/weixin/login/status/<session_id>', methods=['GET'])
-        async def _(session_id: str) -> str:
-            """Poll WeChat login status."""
-            session = _weixin_login_sessions.get(session_id)
-            if not session:
-                return self.http_status(404, -1, 'Session not found')
-
-            data = {
-                'status': session['status'],
-                'qr_data_url': session['qr_data_url'],
-                'expire_at': session['expire_at'],
-            }
-
-            if session['status'] == 'success':
-                data['token'] = session['token']
-                data['base_url'] = session['base_url']
-                data['account_id'] = session['account_id']
-                _weixin_login_sessions.pop(session_id, None)
-            elif session['status'] == 'error':
-                data['error'] = session['error']
-                _weixin_login_sessions.pop(session_id, None)
-            elif session['status'] == 'expired':
-                data['error'] = session['error']
-                _weixin_login_sessions.pop(session_id, None)
-
-            return self.success(data=data)
-
-        @self.route('/weixin/login/<session_id>', methods=['DELETE'])
-        async def _(session_id: str) -> str:
-            """Cancel and clean up a WeChat login session."""
-            session = _weixin_login_sessions.pop(session_id, None)
-            if session and session.get('task') and not session['task'].done():
-                session['task'].cancel()
-            return self.success(data={})
-
-        # -----------------------------------------------------------------------
-        # DingTalk Device Flow QR Code Login
-        # -----------------------------------------------------------------------
-
-        _dingtalk_sessions: dict = {}
-        _DINGTALK_SESSION_TTL = 600  # 10 minutes (QR code validity window)
-
-        def _cleanup_expired_dingtalk_sessions():
-            import time
-
-            now = time.time()
-            expired = [
-                sid for sid, s in _dingtalk_sessions.items() if now - s.get('created_at', 0) > _DINGTALK_SESSION_TTL
-            ]
-            for sid in expired:
-                session = _dingtalk_sessions.pop(sid, None)
-                if session and session.get('task') and not session['task'].done():
-                    session['task'].cancel()
-
-        @self.route('/dingtalk/create-app', methods=['POST'])
-        async def _() -> str:
-            """Start DingTalk one-click app creation via Device Flow. Returns session_id + QR code URL."""
-            import uuid
-            import time
-            import aiohttp
-
-            DINGTALK_BASE_URL = 'https://oapi.dingtalk.com'
-
-            _cleanup_expired_dingtalk_sessions()
-
-            session_id = str(uuid.uuid4())
-
-            session = {
-                'status': 'pending',
-                'qr_url': None,
-                'expire_at': None,
-                'client_id': None,
-                'client_secret': None,
-                'error': None,
-                'created_at': time.time(),
-                'device_code': None,
-                'interval': 5,
-            }
-            _dingtalk_sessions[session_id] = session
-
-            async def run_device_flow():
-                try:
-                    timeout = aiohttp.ClientTimeout(total=10)
-                    async with aiohttp.ClientSession(timeout=timeout) as http:
-                        # Step 1: Init — get nonce
-                        async with http.post(
-                            f'{DINGTALK_BASE_URL}/app/registration/init',
-                            json={'source': 'langbot'},
-                        ) as resp:
-                            try:
-                                data = await resp.json()
-                            except (aiohttp.ContentTypeError, ValueError):
-                                session['status'] = 'error'
-                                session['error'] = 'Invalid response from DingTalk service'
-                                return
-                            if data.get('errcode', -1) != 0:
-                                session['status'] = 'error'
-                                session['error'] = data.get('errmsg', 'Failed to init')
-                                return
-                            nonce = data['nonce']
-
-                        # Step 2: Begin — get device_code + QR URL
-                        async with http.post(
-                            f'{DINGTALK_BASE_URL}/app/registration/begin',
-                            json={'nonce': nonce},
-                        ) as resp:
-                            try:
-                                data = await resp.json()
-                            except (aiohttp.ContentTypeError, ValueError):
-                                session['status'] = 'error'
-                                session['error'] = 'Invalid response from DingTalk service'
-                                return
-                            if data.get('errcode', -1) != 0:
-                                session['status'] = 'error'
-                                session['error'] = data.get('errmsg', 'Failed to begin authorization')
-                                return
-
-                            device_code = data['device_code']
-                            verification_uri_complete = data.get('verification_uri_complete', '')
-                            expires_in = data.get('expires_in', 7200)
-                            interval = data.get('interval', 5)
-
-                            session['device_code'] = device_code
-                            session['interval'] = interval
-                            session['qr_url'] = verification_uri_complete
-                            session['expire_at'] = time.time() + 600  # QR code valid for ~10 min
-                            session['status'] = 'waiting'
-
-                        # Step 3: Poll for authorization result
-                        deadline = time.time() + expires_in
-                        while time.time() < deadline:
-                            await asyncio.sleep(interval)
-
-                            async with http.post(
-                                f'{DINGTALK_BASE_URL}/app/registration/poll',
-                                json={'device_code': device_code},
-                            ) as poll_resp:
-                                try:
-                                    poll_data = await poll_resp.json()
-                                except (aiohttp.ContentTypeError, ValueError):
-                                    continue
-
-                                if poll_data.get('errcode', -1) != 0:
-                                    session['status'] = 'error'
-                                    session['error'] = poll_data.get('errmsg', 'Poll failed')
-                                    return
-
-                                status = poll_data.get('status', '')
-
-                                if status == 'SUCCESS':
-                                    session['status'] = 'success'
-                                    session['client_id'] = poll_data.get('client_id', '')
-                                    session['client_secret'] = poll_data.get('client_secret', '')
-                                    return
-                                elif status == 'FAIL':
-                                    session['status'] = 'error'
-                                    session['error'] = poll_data.get('fail_reason', 'Authorization failed')
-                                    return
-                                elif status == 'EXPIRED':
-                                    session['status'] = 'error'
-                                    session['error'] = 'QR code expired'
-                                    return
-                                # status == 'WAITING': continue polling
-
-                        # Timeout
-                        session['status'] = 'error'
-                        session['error'] = 'QR code expired'
-
-                except asyncio.CancelledError:
-                    return
-                except Exception as e:
-                    session['status'] = 'error'
-                    session['error'] = str(e)
-
-            task = asyncio.create_task(run_device_flow())
-            session['task'] = task
-
-            # Wait for QR code to be ready (max 10 seconds)
-            for _ in range(20):
-                if session['qr_url'] or session['error']:
-                    break
-                await asyncio.sleep(0.5)
-
-            if session['error']:
-                task.cancel()
-                return self.http_status(502, -1, session['error'])
-
-            if not session['qr_url']:
-                task.cancel()
-                session['status'] = 'error'
-                session['error'] = 'Timeout waiting for QR code'
-                return self.http_status(504, -1, 'Timeout waiting for QR code')
-
-            return self.success(
-                data={
-                    'session_id': session_id,
-                    'qr_url': session['qr_url'],
-                    'expire_at': session['expire_at'],
-                }
-            )
-
-        @self.route('/dingtalk/create-app/status/<session_id>', methods=['GET'])
-        async def _(session_id: str) -> str:
-            """Poll DingTalk Device Flow status."""
-            _cleanup_expired_dingtalk_sessions()
-            session = _dingtalk_sessions.get(session_id)
-            if not session:
-                return self.http_status(404, -1, 'Session not found')
-
-            data = {'status': session['status']}
-
-            if session['status'] == 'success':
-                data['client_id'] = session['client_id']
-                data['client_secret'] = session['client_secret']
-                _dingtalk_sessions.pop(session_id, None)
-            elif session['status'] == 'error':
-                data['error'] = session['error']
-                _dingtalk_sessions.pop(session_id, None)
-
-            return self.success(data=data)
-
-        @self.route('/dingtalk/create-app/<session_id>', methods=['DELETE'])
-        async def _(session_id: str) -> str:
-            """Cancel and clean up a DingTalk Device Flow session."""
-            session = _dingtalk_sessions.pop(session_id, None)
-            if session and session.get('task') and not session['task'].done():
-                session['task'].cancel()
-            return self.success(data={})
-
-        # -----------------------------------------------------------------------
-        # WeComBot QR Code One-Click Create
-        # -----------------------------------------------------------------------
-
-        _wecombot_sessions: dict = {}
-        _WECOMBOT_SESSION_TTL = 300  # 5 minutes (WeCom QR validity window)
-
-        def _cleanup_expired_wecombot_sessions():
-            import time
-
-            now = time.time()
-            expired = [
-                sid for sid, s in _wecombot_sessions.items() if now - s.get('created_at', 0) > _WECOMBOT_SESSION_TTL
-            ]
-            for sid in expired:
-                session = _wecombot_sessions.pop(sid, None)
-                if session and session.get('task') and not session['task'].done():
-                    session['task'].cancel()
-
-        @self.route('/wecombot/create-bot', methods=['POST'])
-        async def _() -> str:
-            """Start WeComBot one-click creation via QR code. Returns session_id + QR code URL."""
-            import uuid
-            import time
-            import aiohttp
-
-            WECOM_QC_GENERATE_URL = 'https://work.weixin.qq.com/ai/qc/generate'
-            WECOM_QC_QUERY_URL = 'https://work.weixin.qq.com/ai/qc/query_result'
-
-            _cleanup_expired_wecombot_sessions()
-
-            session_id = str(uuid.uuid4())
-
-            session = {
-                'status': 'pending',
-                'qr_url': None,
-                'expire_at': None,
-                'botid': None,
-                'secret': None,
-                'error': None,
-                'created_at': time.time(),
-                'scode': None,
-                'task': None,
-            }
-            _wecombot_sessions[session_id] = session
-
-            async def run_qr_flow():
-                try:
-                    timeout = aiohttp.ClientTimeout(total=10)
-                    async with aiohttp.ClientSession(timeout=timeout) as http:
-                        # Step 1: Generate QR code
-                        async with http.get(
-                            f'{WECOM_QC_GENERATE_URL}?source=langbot&plat=0',
-                        ) as resp:
-                            try:
-                                data = await resp.json()
-                            except (aiohttp.ContentTypeError, ValueError):
-                                session['status'] = 'error'
-                                session['error'] = 'Invalid response from WeCom service'
-                                return
-                            if not data.get('data', {}).get('scode') or not data.get('data', {}).get('auth_url'):
-                                session['status'] = 'error'
-                                session['error'] = data.get('errmsg', 'Failed to generate QR code')
-                                return
-
-                            scode = data['data']['scode']
-                            auth_url = data['data']['auth_url']
-
-                            session['scode'] = scode
-                            session['qr_url'] = auth_url
-                            session['expire_at'] = time.time() + _WECOMBOT_SESSION_TTL
-                            session['status'] = 'waiting'
-
-                        # Step 2: Poll for scan result
-                        deadline = time.time() + _WECOMBOT_SESSION_TTL
-                        while time.time() < deadline:
-                            await asyncio.sleep(3)
-
-                            async with http.get(
-                                f'{WECOM_QC_QUERY_URL}?scode={scode}',
-                            ) as poll_resp:
-                                try:
-                                    poll_data = await poll_resp.json()
-                                except (aiohttp.ContentTypeError, ValueError):
-                                    continue
-
-                                status = poll_data.get('data', {}).get('status', '')
-                                if status == 'success':
-                                    bot_info = poll_data.get('data', {}).get('bot_info', {})
-                                    if bot_info.get('botid') and bot_info.get('secret'):
-                                        session['status'] = 'success'
-                                        session['botid'] = bot_info['botid']
-                                        session['secret'] = bot_info['secret']
-                                        return
-                                    else:
-                                        session['status'] = 'error'
-                                        session['error'] = 'Scan succeeded but bot info is incomplete'
-                                        return
-
-                        # Timeout
-                        session['status'] = 'error'
-                        session['error'] = 'QR code expired'
-
-                except asyncio.CancelledError:
-                    return
-                except Exception as e:
-                    session['status'] = 'error'
-                    session['error'] = str(e)
-
-            task = asyncio.create_task(run_qr_flow())
-            session['task'] = task
-
-            # Wait for QR code to be ready (max 10 seconds)
-            for _ in range(20):
-                if session['qr_url'] or session['error']:
-                    break
-                await asyncio.sleep(0.5)
-
-            if session['error']:
-                task.cancel()
-                return self.http_status(502, -1, session['error'])
-
-            if not session['qr_url']:
-                task.cancel()
-                session['status'] = 'error'
-                session['error'] = 'Timeout waiting for QR code'
-                return self.http_status(504, -1, 'Timeout waiting for QR code')
-
-            return self.success(
-                data={
-                    'session_id': session_id,
-                    'qr_url': session['qr_url'],
-                    'expire_at': session['expire_at'],
-                }
-            )
-
-        @self.route('/wecombot/create-bot/status/<session_id>', methods=['GET'])
-        async def _(session_id: str) -> str:
-            """Poll WeComBot creation status."""
-            _cleanup_expired_wecombot_sessions()
-            session = _wecombot_sessions.get(session_id)
-            if not session:
-                return self.http_status(404, -1, 'Session not found')
-
-            data = {'status': session['status']}
-
-            if session['status'] == 'success':
-                data['botid'] = session['botid']
-                data['secret'] = session['secret']
-                _wecombot_sessions.pop(session_id, None)
-            elif session['status'] == 'error':
-                data['error'] = session['error']
-                _wecombot_sessions.pop(session_id, None)
-
-            return self.success(data=data)
-
-        @self.route('/wecombot/create-bot/<session_id>', methods=['DELETE'])
-        async def _(session_id: str) -> str:
-            """Cancel and clean up a WeComBot creation session."""
-            session = _wecombot_sessions.pop(session_id, None)
-            if session and session.get('task') and not session['task'].done():
-                session['task'].cancel()
-            return self.success(data={})

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

@@ -1,20 +1,14 @@
 from __future__ import annotations
 
 import base64
-import io
 import quart
 import re
 import httpx
 import uuid
 import os
-import zipfile
-import yaml
-from urllib.parse import urlparse
 import posixpath
-import sqlalchemy
 
 from .....core import taskmgr
-from .....entity.persistence import plugin as persistence_plugin
 from .. import group
 from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
 
@@ -45,109 +39,8 @@ def _normalize_plugin_asset_path(filepath: str) -> str | None:
     return f'assets/{normalized}'
 
 
-def _get_request_origin() -> str:
-    """Return the public request origin, respecting reverse-proxy headers."""
-    forwarded_proto = quart.request.headers.get('X-Forwarded-Proto', '').split(',')[0].strip()
-    forwarded_host = quart.request.headers.get('X-Forwarded-Host', '').split(',')[0].strip()
-
-    scheme = forwarded_proto or quart.request.scheme
-    host = forwarded_host or quart.request.host
-    return f'{scheme}://{host}'
-
-
 @group.group_class('plugins', '/api/v1/plugins')
 class PluginsRouterGroup(group.RouterGroup):
-    @staticmethod
-    def _normalize_archive_path(path: str) -> str:
-        normalized = str(path or '').replace('\\', '/').strip('/')
-        return posixpath.normpath(normalized) if normalized else ''
-
-    @classmethod
-    def _component_source_path(cls, entry) -> str:
-        if isinstance(entry, dict):
-            return cls._normalize_archive_path(entry.get('path') or '')
-        return cls._normalize_archive_path(str(entry or ''))
-
-    @classmethod
-    def _count_component_configs(cls, component_config, archive_names: list[str]) -> int:
-        normalized_names = [cls._normalize_archive_path(name) for name in archive_names]
-        component_files: set[str] = set()
-
-        if isinstance(component_config, list):
-            return len(component_config)
-        if not isinstance(component_config, dict):
-            return 1 if component_config else 0
-
-        for entry in component_config.get('fromFiles') or []:
-            source_path = cls._component_source_path(entry)
-            if source_path and source_path in normalized_names:
-                component_files.add(source_path)
-
-        for entry in component_config.get('fromDirs') or []:
-            source_dir = cls._component_source_path(entry).rstrip('/')
-            if not source_dir:
-                continue
-            prefix = f'{source_dir}/'
-            for archive_name in normalized_names:
-                if not archive_name.startswith(prefix):
-                    continue
-                if archive_name.lower().endswith(('.yaml', '.yml')):
-                    component_files.add(archive_name)
-
-        if component_files:
-            return len(component_files)
-
-        return 1 if any(key in component_config for key in ('path', 'name', 'kind')) else 0
-
-    @classmethod
-    def _count_plugin_components(cls, components, archive_names: list[str]) -> dict[str, int]:
-        if not isinstance(components, dict):
-            return {}
-
-        component_counts: dict[str, int] = {}
-        for kind, component_config in components.items():
-            count = cls._count_component_configs(component_config, archive_names)
-            if count > 0:
-                component_counts[str(kind)] = count
-        return component_counts
-
-    @staticmethod
-    def _parse_github_repo_url(repo_url: str) -> dict | None:
-        raw_url = str(repo_url or '').strip()
-        if not raw_url:
-            return None
-
-        if not re.match(r'^[a-zA-Z][a-zA-Z0-9+.-]*://', raw_url):
-            raw_url = f'https://{raw_url}'
-
-        parsed = urlparse(raw_url)
-        if parsed.netloc.lower() not in ('github.com', 'www.github.com'):
-            return None
-
-        parts = [part for part in parsed.path.strip('/').split('/') if part]
-        if len(parts) < 2:
-            return None
-
-        owner = parts[0]
-        repo = parts[1]
-        if repo.endswith('.git'):
-            repo = repo[:-4]
-        if not owner or not repo:
-            return None
-
-        ref = ''
-        subdir = ''
-        if len(parts) >= 4 and parts[2] in ('tree', 'blob'):
-            ref = parts[3]
-            subdir = '/'.join(parts[4:]).strip('/')
-
-        return {
-            'owner': owner,
-            'repo': repo,
-            'ref': ref,
-            'subdir': subdir,
-        }
-
     async def _check_extensions_limit(self) -> str | None:
         """Check if extensions limit is reached. Returns error response if limit exceeded, None otherwise."""
         limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {})
@@ -245,15 +138,7 @@ class PluginsRouterGroup(group.RouterGroup):
                 return self.http_status(404, -1, 'plugin not found')
 
             if quart.request.method == 'GET':
-                result = await self.ap.persistence_mgr.execute_async(
+                return self.success(data={'config': plugin['plugin_config']})
-                    sqlalchemy.select(persistence_plugin.PluginSetting.config)
-                    .where(persistence_plugin.PluginSetting.plugin_author == author)
-                    .where(persistence_plugin.PluginSetting.plugin_name == plugin_name)
-                )
-                persisted_config = result.scalar_one_or_none()
-
-                config = persisted_config if persisted_config is not None else plugin['plugin_config']
-                return self.success(data={'config': config})
             elif quart.request.method == 'PUT':
                 data = await quart.request.json
 
@@ -304,7 +189,7 @@ class PluginsRouterGroup(group.RouterGroup):
             # CSP for HTML pages served to sandboxed iframes (opaque origin).
             # 'self' doesn't work in sandboxed iframes — use actual server origin.
             if mime_type and mime_type.startswith('text/html'):
-                origin = _get_request_origin()
+                origin = f'{quart.request.scheme}://{quart.request.host}'
                 resp.headers['Content-Security-Policy'] = (
                     f'default-src {origin}; '
                     f"script-src {origin} 'unsafe-inline'; "
@@ -349,37 +234,17 @@ class PluginsRouterGroup(group.RouterGroup):
             data = await quart.request.json
             repo_url = data.get('repo_url', '')
 
-            parsed_repo = self._parse_github_repo_url(repo_url)
+            # Parse GitHub repository URL to extract owner and repo
-            if not parsed_repo:
+            # Supports: https://github.com/owner/repo or github.com/owner/repo
+            pattern = r'github\.com/([^/]+)/([^/]+?)(?:\.git)?(?:/.*)?$'
+            match = re.search(pattern, repo_url)
+
+            if not match:
                 return self.http_status(400, -1, 'Invalid GitHub repository URL')
 
-            owner = parsed_repo['owner']
+            owner, repo = match.groups()
-            repo = parsed_repo['repo']
-            requested_ref = parsed_repo['ref']
-            requested_subdir = parsed_repo['subdir']
 
             try:
-                if requested_ref:
-                    return self.success(
-                        data={
-                            'releases': [
-                                {
-                                    'id': 0,
-                                    'tag_name': requested_ref,
-                                    'name': requested_ref,
-                                    'published_at': '',
-                                    'prerelease': False,
-                                    'draft': False,
-                                    'source_type': 'branch',
-                                    'archive_url': f'https://api.github.com/repos/{owner}/{repo}/zipball/{requested_ref}',
-                                }
-                            ],
-                            'owner': owner,
-                            'repo': repo,
-                            'source_subdir': requested_subdir,
-                        }
-                    )
-
                 # Fetch releases from GitHub API
                 url = f'https://api.github.com/repos/{owner}/{repo}/releases'
                 async with httpx.AsyncClient(
@@ -405,14 +270,7 @@ class PluginsRouterGroup(group.RouterGroup):
                         }
                     )
 
-                return self.success(
+                return self.success(data={'releases': formatted_releases, 'owner': owner, 'repo': repo})
-                    data={
-                        'releases': formatted_releases,
-                        'owner': owner,
-                        'repo': repo,
-                        'source_subdir': requested_subdir,
-                    }
-                )
             except httpx.RequestError as e:
                 return self.http_status(500, -1, f'Failed to fetch releases: {str(e)}')
 
@@ -567,62 +425,6 @@ class PluginsRouterGroup(group.RouterGroup):
 
             return self.success(data={'task_id': wrapper.id})
 
-        @self.route('/install/local/preview', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def _() -> str:
-            file = (await quart.request.files).get('file')
-            if file is None:
-                return self.http_status(400, -1, 'file is required')
-
-            file_bytes = file.read()
-            try:
-                with zipfile.ZipFile(io.BytesIO(file_bytes)) as zf:
-                    names = [name for name in zf.namelist() if not name.endswith('/')]
-                    manifest_name = next(
-                        (
-                            name
-                            for name in names
-                            if name.replace('\\', '/').strip('/').lower() in ('manifest.yaml', 'manifest.yml')
-                        ),
-                        None,
-                    )
-                    if manifest_name is None:
-                        return self.http_status(400, -1, 'manifest.yaml is required')
-
-                    manifest = yaml.safe_load(zf.read(manifest_name).decode('utf-8')) or {}
-                    requirements: list[str] = []
-                    requirements_name = next(
-                        (name for name in names if name.replace('\\', '/').strip('/').lower() == 'requirements.txt'),
-                        None,
-                    )
-                    if requirements_name is not None:
-                        requirements = [
-                            line.strip()
-                            for line in zf.read(requirements_name).decode('utf-8', errors='ignore').splitlines()
-                            if line.strip() and not line.strip().startswith('#')
-                        ]
-
-                    spec = manifest.get('spec') or {}
-                    components = spec.get('components') or {}
-                    component_counts = self._count_plugin_components(components, names)
-                    component_types = list(component_counts.keys())
-
-                    return self.success(
-                        data={
-                            'filename': file.filename or 'local plugin',
-                            'size': len(file_bytes),
-                            'manifest': manifest,
-                            'metadata': manifest.get('metadata') or {},
-                            'component_types': component_types,
-                            'component_counts': component_counts,
-                            'requirements': requirements,
-                            'file_count': len(names),
-                        }
-                    )
-            except zipfile.BadZipFile:
-                return self.http_status(400, -1, 'invalid .lbpkg file')
-            except Exception as exc:
-                return self.http_status(500, -1, f'Failed to preview plugin package: {exc}')
-
         @self.route('/config-files', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
         async def _() -> str:
             """Upload a file for plugin configuration"""

src/langbot/pkg/api/http/controller/groups/resources/mcp.py

@@ -31,9 +31,6 @@ class MCPRouterGroup(group.RouterGroup):
         @self.route('/servers/<server_name>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN)
         async def _(server_name: str) -> str:
             """获取、更新或删除MCP服务器配置"""
-            from urllib.parse import unquote
-
-            server_name = unquote(server_name)
 
             server_data = await self.ap.mcp_service.get_mcp_server_by_name(server_name)
             if server_data is None:
@@ -60,9 +57,6 @@ class MCPRouterGroup(group.RouterGroup):
         @self.route('/servers/<server_name>/test', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
         async def _(server_name: str) -> str:
             """测试MCP服务器连接"""
-            from urllib.parse import unquote
-
-            server_name = unquote(server_name)
             server_data = await quart.request.json
             task_id = await self.ap.mcp_service.test_mcp_server(server_name=server_name, server_data=server_data)
             return self.success(data={'task_id': task_id})

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

@@ -1,190 +0,0 @@
-from __future__ import annotations
-
-import quart
-
-from langbot_plugin.box.errors import BoxError
-
-from .. import group
-
-
-@group.group_class('skills', '/api/v1/skills')
-class SkillsRouterGroup(group.RouterGroup):
-    """Skills management API endpoints."""
-
-    async def initialize(self) -> None:
-        @self.route('', methods=['GET', 'POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def list_or_create_skills() -> quart.Response:
-            if quart.request.method == 'GET':
-                try:
-                    skills = await self.ap.skill_service.list_skills()
-                except (ValueError, BoxError) as exc:
-                    return self.http_status(400, -1, str(exc))
-                return self.success(data={'skills': skills})
-
-            data = await quart.request.json
-            if 'name' not in data or not data['name']:
-                return self.http_status(400, -1, 'Missing required field: name')
-
-            try:
-                skill = await self.ap.skill_service.create_skill(data)
-                return self.success(data={'skill': skill})
-            except (ValueError, BoxError) as exc:
-                return self.http_status(400, -1, str(exc))
-
-        @self.route('/<skill_name>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def get_update_delete_skill(skill_name: str) -> quart.Response:
-            if quart.request.method == 'GET':
-                try:
-                    skill = await self.ap.skill_service.get_skill(skill_name)
-                except (ValueError, BoxError) as exc:
-                    return self.http_status(400, -1, str(exc))
-                if not skill:
-                    return self.http_status(404, -1, 'Skill not found')
-                return self.success(data={'skill': skill})
-
-            if quart.request.method == 'PUT':
-                data = await quart.request.json
-                try:
-                    skill = await self.ap.skill_service.update_skill(skill_name, data)
-                    return self.success(data={'skill': skill})
-                except (ValueError, BoxError) as exc:
-                    return self.http_status(400, -1, str(exc))
-
-            try:
-                await self.ap.skill_service.delete_skill(skill_name)
-                return self.success()
-            except (ValueError, BoxError) as exc:
-                return self.http_status(400, -1, str(exc))
-
-        @self.route('/<skill_name>/files', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def list_skill_files(skill_name: str) -> quart.Response:
-            """List files in skill package directory."""
-            path = quart.request.args.get('path', '.').strip()
-            include_hidden = quart.request.args.get('include_hidden', 'false').lower() == 'true'
-
-            try:
-                result = await self.ap.skill_service.list_skill_files(
-                    skill_name,
-                    path=path,
-                    include_hidden=include_hidden,
-                )
-                return self.success(data=result)
-            except (ValueError, BoxError) as exc:
-                return self.http_status(400, -1, str(exc))
-
-        @self.route(
-            '/<skill_name>/files/<path:path>', methods=['GET', 'PUT'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY
-        )
-        async def read_or_write_skill_file(skill_name: str, path: str) -> quart.Response:
-            """Read or write a file in skill package."""
-            if quart.request.method == 'GET':
-                try:
-                    result = await self.ap.skill_service.read_skill_file(skill_name, path)
-                    return self.success(data=result)
-                except (ValueError, BoxError) as exc:
-                    return self.http_status(400, -1, str(exc))
-
-            # PUT - write file
-            data = await quart.request.json
-            content = data.get('content', '')
-            if content is None:
-                return self.http_status(400, -1, 'Missing required field: content')
-
-            try:
-                result = await self.ap.skill_service.write_skill_file(skill_name, path, content)
-                return self.success(data=result)
-            except (ValueError, BoxError) as exc:
-                return self.http_status(400, -1, str(exc))
-
-        @self.route('/<skill_name>/preview', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def preview_skill(skill_name: str) -> quart.Response:
-            skill = self.ap.skill_mgr.get_skill_by_name(skill_name)
-            if not skill:
-                return self.http_status(404, -1, 'Skill not found')
-            return self.success(data={'instructions': skill.get('instructions', '')})
-
-        @self.route('/install/github', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def install_skill_from_github() -> quart.Response:
-            data = await quart.request.json
-            required_fields = ['asset_url', 'owner', 'repo']
-            for field in required_fields:
-                if field not in data or not data[field]:
-                    return self.http_status(400, -1, f'Missing required field: {field}')
-            asset_url = str(data['asset_url']).strip().lower().split('?', 1)[0].split('#', 1)[0]
-            if not asset_url.endswith('skill.md') and not data.get('release_tag'):
-                return self.http_status(400, -1, 'Missing required field: release_tag')
-
-            try:
-                skill = await self.ap.skill_service.install_from_github(data)
-                return self.success(data={'skills': skill})
-            except (ValueError, BoxError) as exc:
-                return self.http_status(400, -1, str(exc))
-            except Exception as exc:
-                return self.http_status(500, -1, f'Failed to install skill: {exc}')
-
-        @self.route('/install/github/preview', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def preview_skill_from_github() -> quart.Response:
-            data = await quart.request.json
-            required_fields = ['asset_url', 'owner', 'repo']
-            for field in required_fields:
-                if field not in data or not data[field]:
-                    return self.http_status(400, -1, f'Missing required field: {field}')
-            asset_url = str(data['asset_url']).strip().lower().split('?', 1)[0].split('#', 1)[0]
-            if not asset_url.endswith('skill.md') and not data.get('release_tag'):
-                return self.http_status(400, -1, 'Missing required field: release_tag')
-
-            try:
-                preview = await self.ap.skill_service.preview_install_from_github(data)
-                return self.success(data={'skills': preview})
-            except (ValueError, BoxError) as exc:
-                return self.http_status(400, -1, str(exc))
-            except Exception as exc:
-                return self.http_status(500, -1, f'Failed to preview skill: {exc}')
-
-        @self.route('/install/upload', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def install_skill_from_upload() -> quart.Response:
-            file = (await quart.request.files).get('file')
-            if file is None:
-                return self.http_status(400, -1, 'file is required')
-            form = await quart.request.form
-
-            try:
-                skill = await self.ap.skill_service.install_from_zip_upload(
-                    file_bytes=file.read(),
-                    filename=file.filename or '',
-                    source_paths=form.getlist('source_paths'),
-                )
-                return self.success(data={'skills': skill})
-            except (ValueError, BoxError) as exc:
-                return self.http_status(400, -1, str(exc))
-            except Exception as exc:
-                return self.http_status(500, -1, f'Failed to install skill: {exc}')
-
-        @self.route('/install/upload/preview', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def preview_skill_from_upload() -> quart.Response:
-            file = (await quart.request.files).get('file')
-            if file is None:
-                return self.http_status(400, -1, 'file is required')
-
-            try:
-                preview = await self.ap.skill_service.preview_install_from_zip_upload(
-                    file_bytes=file.read(),
-                    filename=file.filename or '',
-                )
-                return self.success(data={'skills': preview})
-            except (ValueError, BoxError) as exc:
-                return self.http_status(400, -1, str(exc))
-            except Exception as exc:
-                return self.http_status(500, -1, f'Failed to preview skill: {exc}')
-
-        @self.route('/scan', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
-        async def scan_skill_directory() -> quart.Response:
-            path = quart.request.args.get('path', '').strip()
-            if not path:
-                return self.http_status(400, -1, 'Missing required parameter: path')
-
-            try:
-                result = await self.ap.skill_service.scan_directory_async(path)
-                return self.success(data=result)
-            except (ValueError, BoxError) as exc:
-                return self.http_status(400, -1, str(exc))

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

@@ -140,6 +140,17 @@ class SystemRouterGroup(group.RouterGroup):
         async def _() -> str:
             return self.success(data=await self.ap.maintenance_service.get_storage_analysis())
 
+        @self.route('/debug/exec', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
+        async def _() -> str:
+            if not constants.debug_mode:
+                return self.http_status(403, 403, 'Forbidden')
+
+            py_code = await quart.request.data
+
+            ap = self.ap
+
+            return self.success(data=exec(py_code, {'ap': ap}))
+
         @self.route(
             '/debug/plugin/action',
             methods=['POST'],

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

@@ -146,7 +146,6 @@ class UserRouterGroup(group.RouterGroup):
                 return self.fail(3, str(e))
             except ValueError as e:
                 traceback.print_exc()
-                self.ap.logger.warning(f'Space OAuth callback failed: {e}')
                 return self.fail(1, str(e))
             except Exception as e:
                 traceback.print_exc()

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

@@ -52,9 +52,6 @@ class ApiKeyService:
 
     async def verify_api_key(self, key: str) -> bool:
         """Verify if an API key is valid"""
-        if not isinstance(key, str) or not key.startswith('lbk_'):
-            return False
-
         result = await self.ap.persistence_mgr.execute_async(
             sqlalchemy.select(apikey.ApiKey).where(apikey.ApiKey.key == key)
         )

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

@@ -5,6 +5,7 @@ import sqlalchemy
 import typing
 
 from ....core import app
+from ....discover import engine
 from ....entity.persistence import bot as persistence_bot
 from ....entity.persistence import pipeline as persistence_pipeline
 
@@ -17,6 +18,24 @@ class BotService:
     def __init__(self, ap: app.Application) -> None:
         self.ap = ap
 
+    def _get_adapter_component(self, adapter_name: str) -> engine.Component | None:
+        """Return the discovered platform adapter component for an adapter name."""
+        for component in self.ap.discover.get_components_by_kind('MessagePlatformAdapter'):
+            if component.metadata.name == adapter_name:
+                return component
+        return None
+
+    def _adapter_declares_webhook_url(self, adapter_name: str) -> bool:
+        """Whether the adapter manifest declares a generated webhook URL config item."""
+        component = self._get_adapter_component(adapter_name)
+        if component is None:
+            return False
+
+        for config_item in component.spec.get('config', []):
+            if config_item.get('type') == 'webhook-url':
+                return True
+        return False
+
     async def get_bots(self, include_secret: bool = True) -> list[dict]:
         """获取所有机器人"""
         result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_bot.Bot))
@@ -58,17 +77,10 @@ class BotService:
         if runtime_bot is not None:
             adapter_runtime_values['bot_account_id'] = runtime_bot.adapter.bot_account_id
 
-        # Webhook URL for unified webhook adapters (independent of bot running state)
+        # Webhook URL for adapters that declare a generated webhook config item.
-        if persistence_bot['adapter'] in [
+        # This is manifest-driven so EBA adapters do not need to be mirrored in a
-            'wecom',
+        # second hard-coded list.
-            'wecombot',
+        if self._adapter_declares_webhook_url(persistence_bot['adapter']):
-            'officialaccount',
-            'qqofficial',
-            'slack',
-            'wecomcs',
-            'LINE',
-            'lark',
-        ]:
             webhook_prefix = self.ap.instance_config.data['api'].get('webhook_prefix', 'http://127.0.0.1:5300')
             extra_webhook_prefix = self.ap.instance_config.data['api'].get('extra_webhook_prefix', '')
             webhook_url = f'/bots/{bot_uuid}'
@@ -99,11 +111,11 @@ class BotService:
         # TODO: 检查配置信息格式
         bot_data['uuid'] = str(uuid.uuid4())
 
-        # bind the most recently updated pipeline if any exist
+        # checkout the default pipeline
         result = await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.select(persistence_pipeline.LegacyPipeline)
+            sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
-            .order_by(persistence_pipeline.LegacyPipeline.updated_at.desc())
+                persistence_pipeline.LegacyPipeline.is_default == True
-            .limit(1)
+            )
         )
         pipeline = result.first()
         if pipeline is not None:
@@ -120,26 +132,24 @@ class BotService:
 
     async def update_bot(self, bot_uuid: str, bot_data: dict) -> None:
         """Update bot"""
-        update_data = bot_data.copy()
+        if 'uuid' in bot_data:
-
+            del bot_data['uuid']
-        if 'uuid' in update_data:
-            del update_data['uuid']
 
         # set use_pipeline_name
-        if 'use_pipeline_uuid' in update_data:
+        if 'use_pipeline_uuid' in bot_data:
             result = await self.ap.persistence_mgr.execute_async(
                 sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
-                    persistence_pipeline.LegacyPipeline.uuid == update_data['use_pipeline_uuid']
+                    persistence_pipeline.LegacyPipeline.uuid == bot_data['use_pipeline_uuid']
                 )
             )
             pipeline = result.first()
             if pipeline is not None:
-                update_data['use_pipeline_name'] = pipeline.name
+                bot_data['use_pipeline_name'] = pipeline.name
             else:
                 raise Exception('Pipeline not found')
 
         await self.ap.persistence_mgr.execute_async(
-            sqlalchemy.update(persistence_bot.Bot).values(update_data).where(persistence_bot.Bot.uuid == bot_uuid)
+            sqlalchemy.update(persistence_bot.Bot).values(bot_data).where(persistence_bot.Bot.uuid == bot_uuid)
         )
         await self.ap.platform_mgr.remove_bot(bot_uuid)
 

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

@@ -31,126 +31,15 @@ class KnowledgeService:
         if not knowledge_engine_plugin_id:
             raise ValueError('knowledge_engine_plugin_id is required')
 
-        creation_settings = kb_data.get('creation_settings', {})
-        retrieval_settings = kb_data.get('retrieval_settings', {})
-
-        # Validate required fields based on plugin's creation_schema and retrieval_schema
-        await self._validate_schema_required_fields(
-            knowledge_engine_plugin_id,
-            creation_settings,
-            retrieval_settings,
-        )
-
         kb = await self.ap.rag_mgr.create_knowledge_base(
             name=kb_data.get('name', 'Untitled'),
             knowledge_engine_plugin_id=knowledge_engine_plugin_id,
-            creation_settings=creation_settings,
+            creation_settings=kb_data.get('creation_settings', {}),
-            retrieval_settings=retrieval_settings,
+            retrieval_settings=kb_data.get('retrieval_settings', {}),
             description=kb_data.get('description', ''),
         )
         return kb.uuid
 
-    async def _validate_schema_required_fields(
-        self,
-        plugin_id: str,
-        creation_settings: dict,
-        retrieval_settings: dict,
-    ) -> None:
-        """Validate required fields based on plugin's creation_schema and retrieval_schema.
-
-        This is a business-agnostic validation that checks all fields marked as
-        required in the plugin's schema, regardless of field type.
-
-        Args:
-            plugin_id: Knowledge Engine plugin ID.
-            creation_settings: User-provided creation settings.
-            retrieval_settings: User-provided retrieval settings.
-
-        Raises:
-            ValueError: If any required field is missing or empty.
-        """
-        # Validate creation_schema
-        try:
-            creation_schema = await self.ap.plugin_connector.get_rag_creation_schema(plugin_id)
-            self._check_required_fields(creation_schema, creation_settings, 'creation_settings')
-        except ValueError:
-            raise
-        except Exception as e:
-            self.ap.logger.warning(f'Failed to get creation_schema for validation: {e}')
-
-        # Validate retrieval_schema
-        try:
-            retrieval_schema = await self.ap.plugin_connector.get_rag_retrieval_schema(plugin_id)
-            self._check_required_fields(retrieval_schema, retrieval_settings, 'retrieval_settings')
-        except ValueError:
-            raise
-        except Exception as e:
-            self.ap.logger.warning(f'Failed to get retrieval_schema for validation: {e}')
-
-    def _check_required_fields(
-        self,
-        schema: dict | list,
-        settings: dict,
-        context: str,
-    ) -> None:
-        """Check required fields in schema against provided settings.
-
-        Args:
-            schema: Plugin-defined schema (can be list or dict with 'schema' key).
-            settings: User-provided settings values.
-            context: Context name for error messages (e.g., 'creation_settings').
-
-        Raises:
-            ValueError: If a required field is missing or empty.
-        """
-        if not schema:
-            return
-
-        # schema can be a list directly, or a dict with 'schema' key
-        items = schema if isinstance(schema, list) else schema.get('schema', [])
-        if not items:
-            return
-
-        for item in items:
-            field_name = item.get('name')
-            if not field_name:
-                continue
-
-            is_required = item.get('required', False)
-            if not is_required:
-                continue
-
-            # Check show_if condition - if field is conditionally shown, only validate when condition is met
-            show_if = item.get('show_if')
-            if show_if:
-                depend_field = show_if.get('field')
-                operator = show_if.get('operator')
-                expected_value = show_if.get('value')
-
-                if depend_field and operator:
-                    depend_value = settings.get(depend_field)
-                    # If show_if condition is not met, skip validation for this field
-                    if operator == 'eq' and depend_value != expected_value:
-                        continue
-                    if operator == 'neq' and depend_value == expected_value:
-                        continue
-                    if operator == 'in' and isinstance(expected_value, list) and depend_value not in expected_value:
-                        continue
-
-            value = settings.get(field_name)
-
-            # Validate required field has a non-empty value
-            if value is None or (isinstance(value, str) and value.strip() == ''):
-                # Get field label for friendly error message
-                label = item.get('label', {})
-                field_label = (
-                    label.get('en_US', field_name)
-                    or label.get('zh_Hans', field_name)
-                    or label.get('zh_Hant', field_name)
-                    or field_name
-                )
-                raise ValueError(f'{field_label} is required ({context}.{field_name})')
-
     async def update_knowledge_base(self, kb_uuid: str, kb_data: dict) -> None:
         """更新知识库"""
         # Filter to only mutable fields

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

@@ -9,8 +9,6 @@ from ....core import app
 from ....entity.persistence import model as persistence_model
 from ....entity.persistence import pipeline as persistence_pipeline
 from ....provider.modelmgr import requester as model_requester
-from ....agent.runner.config_migration import ConfigMigration
-from ....agent.runner import config_schema
 
 
 def _parse_provider_api_keys(provider_dict: dict) -> dict:
@@ -42,40 +40,6 @@ class LLMModelsService:
     def __init__(self, ap: app.Application) -> None:
         self.ap = ap
 
-    async def _get_runner_descriptor(self, runner_id: str):
-        registry = getattr(self.ap, 'agent_runner_registry', None)
-        if registry is None:
-            return None
-        try:
-            return await registry.get(runner_id, bound_plugins=None)
-        except Exception as e:
-            logger = getattr(self.ap, 'logger', None)
-            if logger:
-                logger.warning(f'Failed to load AgentRunner descriptor while setting default model: {e}')
-            return None
-
-    async def _auto_set_default_pipeline_llm_model(self, pipeline: persistence_pipeline.LegacyPipeline, model_uuid: str):
-        pipeline_config = pipeline.config
-        if not isinstance(pipeline_config, dict):
-            return
-
-        runner_id = ConfigMigration.resolve_runner_id(pipeline_config)
-        if not runner_id:
-            return
-
-        descriptor = await self._get_runner_descriptor(runner_id)
-        if descriptor is None:
-            return
-
-        ai_config = pipeline_config.setdefault('ai', {})
-        runner_configs = ai_config.setdefault('runner_config', {})
-        runner_config = runner_configs.setdefault(runner_id, {})
-
-        if not config_schema.set_empty_llm_model_selection(descriptor, runner_config, model_uuid):
-            return
-
-        await self.ap.pipeline_service.update_pipeline(pipeline.uuid, {'config': pipeline_config})
-
     async def get_llm_models(self, include_secret: bool = True) -> list[dict]:
         """Get all LLM models with provider info"""
         result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.LLMModel))
@@ -145,6 +109,7 @@ class LLMModelsService:
         self.ap.model_mgr.llm_models.append(runtime_llm_model)
 
         if auto_set_to_default_pipeline:
+            # set the default pipeline model to this model
             result = await self.ap.persistence_mgr.execute_async(
                 sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
                     persistence_pipeline.LegacyPipeline.is_default == True
@@ -152,7 +117,15 @@ class LLMModelsService:
             )
             pipeline = result.first()
             if pipeline is not None:
-                await self._auto_set_default_pipeline_llm_model(pipeline, model_data['uuid'])
+                model_config = pipeline.config.get('ai', {}).get('local-agent', {}).get('model', {})
+                if not model_config.get('primary', ''):
+                    pipeline_config = pipeline.config
+                    pipeline_config['ai']['local-agent']['model'] = {
+                        'primary': model_data['uuid'],
+                        'fallbacks': [],
+                    }
+                    pipeline_data = {'config': pipeline_config}
+                    await self.ap.pipeline_service.update_pipeline(pipeline.uuid, pipeline_data)
 
         return model_data['uuid']