Compare commits

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22 Commits

Author SHA1 Message Date
wangcham
1f67ff2e8d feat(kook): add eba adapter 2026-06-04 18:30:18 +08:00
WangCham
b68ff1956c feat(platform): add slack eba adapter 2026-06-02 18:32:20 +08:00
WangCham
7e5d74a1ad feat(platform): add qqofficial eba adapter 2026-06-02 16:51:45 +08:00
WangCham
8a42fd8b21 feat(officialaccount): add eba adapter 2026-05-28 16:59:26 +08:00
WangCham
4b9aa20985 feat(platform): add wecom customer service eba adapter 2026-05-27 17:53:01 +08:00
WangCham
7328881e6f feat(platform): add wecom eba adapters 2026-05-27 10:52:17 +08:00
Junyan Qin
197e117900 feat(platform): add lark eba adapter 2026-05-11 12:00:24 +08:00
Junyan Qin
417b83d3aa docs: update eba inbound media evidence 2026-05-10 21:04:00 +08:00
Junyan Qin
950da65797 feat(platform): add dingtalk eba adapter 2026-05-10 19:52:36 +08:00
Junyan Qin
3ed35593e9 feat: complete eba adapter acceptance path 2026-05-10 18:58:18 +08:00
Junyan Qin
63bdee22b4 docs: add eba adapter acceptance report 2026-05-10 17:44:49 +08:00
Junyan Qin
c55db54fd2 feat: migrate aiocqhttp adapter to eba 2026-05-10 17:41:06 +08:00
Junyan Qin
57f2e85388 feat: add discord eba adapter 2026-05-07 23:05:38 +08:00
Junyan Qin
503d29ffed docs: add eba adapter migration records 2026-05-07 18:44:05 +08:00
Junyan Qin
05f370ca49 test: cover telegram upload file capability 2026-05-07 18:36:22 +08:00
Junyan Qin
c7e8eb1214 test: expand telegram eba api coverage 2026-05-07 18:32:52 +08:00
Junyan Qin
5c182c0f29 feat: route telegram eba events to plugins 2026-05-07 17:02:49 +08:00
Junyan Qin
e4a471af18 docs: add eba feedback event design 2026-05-07 16:25:39 +08:00
Junyan Qin
dfcf9d10e4 fix: handle telegram eba non-message updates 2026-05-07 16:09:23 +08:00
RockChinQ
eb475245ab refactor: improve component loading logic and add resource directory check 2026-05-07 15:18:59 +08:00
RockChinQ
d1b7d56392 feat: Telegram EBA adapter - full implementation
- 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
2026-05-07 15:18:59 +08:00
Junyan Qin
9f23f4c572 chore: docs 2026-05-07 15:18:59 +08:00
523 changed files with 28382 additions and 77051 deletions

View File

@@ -4,29 +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
paths:
- 'src/langbot/**'
- 'pkg/**'
- 'tests/**'
- '.github/workflows/run-tests.yml'
- 'pyproject.toml'
- 'uv.lock'
- 'run_tests.sh'
- 'scripts/test-*.sh'
jobs:
test:
name: Unit Tests
name: Run Unit Tests
runs-on: ubuntu-latest
strategy:
matrix:
@@ -43,13 +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
run: uv run pytest tests/unit_tests/ tests/smoke/ -q --tb=short
- name: Run unit tests
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()
@@ -58,79 +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

View File

@@ -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
run: uv run pytest tests/integration/persistence/test_migrations.py -q --tb=short
- name: Test Alembic upgrade (SQLite)
run: |
uv run python -c "
import asyncio
from sqlalchemy.ext.asyncio import create_async_engine
from langbot.pkg.entity.persistence.base import Base
from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade, run_alembic_stamp, get_alembic_current
async def main():
engine = create_async_engine('sqlite+aiosqlite:///test_migrations.db')
# Create all tables (simulates existing DB)
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
# Stamp baseline
await run_alembic_stamp(engine, '0001_baseline')
rev = await get_alembic_current(engine)
assert rev == '0001_baseline', f'Expected 0001_baseline, got {rev}'
print(f'Stamped: {rev}')
# Upgrade to head
await run_alembic_upgrade(engine, 'head')
rev = await get_alembic_current(engine)
print(f'After upgrade: {rev}')
assert rev is not None, 'Expected a revision after upgrade'
# Verify idempotent
await run_alembic_upgrade(engine, 'head')
rev2 = await get_alembic_current(engine)
assert rev2 == rev, f'Expected {rev}, got {rev2}'
print(f'Idempotent check passed: {rev2}')
# Fresh DB: upgrade from scratch
engine2 = create_async_engine('sqlite+aiosqlite:///test_migrations_fresh.db')
async with engine2.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
await run_alembic_upgrade(engine2, 'head')
rev3 = await get_alembic_current(engine2)
print(f'Fresh DB upgrade: {rev3}')
assert rev3 is not None
print('All SQLite migration tests passed!')
asyncio.run(main())
"
test-migrations-postgres:
name: Migrations (PostgreSQL)
@@ -72,7 +114,58 @@ jobs:
- name: Install dependencies
run: uv sync --dev
- name: Run PostgreSQL migration tests
env:
TEST_POSTGRES_URL: postgresql+asyncpg://langbot:langbot@localhost:5432/langbot_test
run: uv run pytest tests/integration/persistence/test_migrations_postgres.py -q --tb=short
- name: Test Alembic upgrade (PostgreSQL)
run: |
uv run python -c "
import asyncio
from sqlalchemy.ext.asyncio import create_async_engine
from langbot.pkg.entity.persistence.base import Base
from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade, run_alembic_stamp, get_alembic_current
DB_URL = 'postgresql+asyncpg://langbot:langbot@localhost:5432/langbot_test'
async def main():
engine = create_async_engine(DB_URL)
# Create all tables
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
# Stamp baseline
await run_alembic_stamp(engine, '0001_baseline')
rev = await get_alembic_current(engine)
assert rev == '0001_baseline', f'Expected 0001_baseline, got {rev}'
print(f'Stamped: {rev}')
# Upgrade to head
await run_alembic_upgrade(engine, 'head')
rev = await get_alembic_current(engine)
print(f'After upgrade: {rev}')
assert rev is not None
# Verify idempotent
await run_alembic_upgrade(engine, 'head')
rev2 = await get_alembic_current(engine)
assert rev2 == rev, f'Expected {rev}, got {rev2}'
print(f'Idempotent check passed: {rev2}')
# Fresh DB: drop all and upgrade from scratch
engine2 = create_async_engine(DB_URL.replace('langbot_test', 'langbot_fresh'))
# Create fresh database
from sqlalchemy import text
async with engine.connect() as conn:
await conn.execute(text('COMMIT'))
await conn.execute(text('CREATE DATABASE langbot_fresh'))
async with engine2.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
await run_alembic_upgrade(engine2, 'head')
rev3 = await get_alembic_current(engine2)
print(f'Fresh DB upgrade: {rev3}')
assert rev3 is not None
print('All PostgreSQL migration tests passed!')
asyncio.run(main())
"

View File

@@ -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/

View File

@@ -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

View File

@@ -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

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@@ -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

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@@ -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

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@@ -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

View File

@@ -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

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@@ -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

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@@ -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

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@@ -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

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@@ -1,163 +0,0 @@
#!/usr/bin/env python3
"""Compare YAML node definitions with frontend node-configs."""
import yaml
import os
import re
import json
# 1. Parse YAML files
yaml_dir = 'src/langbot/templates/metadata/nodes'
yaml_nodes = {}
for filename in sorted(os.listdir(yaml_dir)):
if filename.endswith('.yaml'):
filepath = os.path.join(yaml_dir, filename)
with open(filepath, 'r') as f:
data = yaml.safe_load(f)
node_name = data.get('name', filename.replace('.yaml', ''))
yaml_nodes[node_name] = {
'category': data.get('category', ''),
'inputs': [i['name'] for i in data.get('inputs', [])],
'outputs': [o['name'] for o in data.get('outputs', [])],
'config': [c['name'] for c in data.get('config', [])]
}
# 2. Parse frontend node-configs TypeScript files
node_configs_dir = 'web/src/app/home/workflows/components/workflow-editor/node-configs'
frontend_nodes = {}
def parse_ts_file(filepath):
"""Parse a TypeScript file to extract node configurations."""
with open(filepath, 'r') as f:
content = f.read()
# Find all node type definitions
# Pattern: nodeType: 'xxx'
node_type_pattern = r"nodeType:\s*'([^']+)'"
node_types = re.findall(node_type_pattern, content)
# For each node type, extract inputs, outputs, and config
for node_type in node_types:
# Find the config object for this node type
# Look for the section between this nodeType and the next one or end of object
pattern = rf"nodeType:\s*'({re.escape(node_type)})'.*?(?=nodeType:|export\s+(const|function)|$)"
match = re.search(pattern, content, re.DOTALL)
if match:
section = match.group(0)
# Extract inputs
inputs = re.findall(r"createInput\('([^']+)'", section)
# Extract outputs
outputs = re.findall(r"createOutput\('([^']+)'", section)
# Extract config names
config_names = re.findall(r"name:\s*'([^']+)'", section)
# Remove duplicates while preserving order
seen = set()
unique_config = []
for c in config_names:
if c not in seen:
seen.add(c)
unique_config.append(c)
frontend_nodes[node_type] = {
'inputs': inputs,
'outputs': outputs,
'config': unique_config
}
# Parse all config files
for filename in os.listdir(node_configs_dir):
if filename.endswith('.ts') and filename != 'types.ts' and filename != 'index.ts':
filepath = os.path.join(node_configs_dir, filename)
parse_ts_file(filepath)
# 3. Compare and report differences
print("=" * 80)
print("WORKFLOW NODE COMPARISON REPORT: YAML vs Frontend")
print("=" * 80)
all_node_types = sorted(set(list(yaml_nodes.keys()) + list(frontend_nodes.keys())))
discrepancies = []
for node_type in all_node_types:
yaml_def = yaml_nodes.get(node_type)
frontend_def = frontend_nodes.get(node_type)
node_discrepancies = []
if not yaml_def:
print(f"\n⚠️ {node_type}: ONLY in frontend (not in YAML)")
continue
if not frontend_def:
print(f"\n⚠️ {node_type}: ONLY in YAML (not in frontend)")
continue
# Compare inputs
yaml_inputs = set(yaml_def['inputs'])
frontend_inputs = set(frontend_def['inputs'])
if yaml_inputs != frontend_inputs:
only_yaml = yaml_inputs - frontend_inputs
only_frontend = frontend_inputs - yaml_inputs
node_discrepancies.append({
'type': 'inputs',
'only_yaml': list(only_yaml),
'only_frontend': list(only_frontend)
})
# Compare outputs
yaml_outputs = set(yaml_def['outputs'])
frontend_outputs = set(frontend_def['outputs'])
if yaml_outputs != frontend_outputs:
only_yaml = yaml_outputs - frontend_outputs
only_frontend = frontend_outputs - yaml_outputs
node_discrepancies.append({
'type': 'outputs',
'only_yaml': list(only_yaml),
'only_frontend': list(only_frontend)
})
# Compare config
yaml_config = set(yaml_def['config'])
frontend_config = set(frontend_def['config'])
if yaml_config != frontend_config:
only_yaml = yaml_config - frontend_config
only_frontend = frontend_config - yaml_config
node_discrepancies.append({
'type': 'config',
'only_yaml': list(only_yaml),
'only_frontend': list(only_frontend)
})
if node_discrepancies:
print(f"\n{node_type} ({yaml_def['category']}): HAS DISCREPANCIES")
for d in node_discrepancies:
print(f" {d['type']}:")
if d['only_yaml']:
print(f" Only in YAML: {d['only_yaml']}")
if d['only_frontend']:
print(f" Only in Frontend: {d['only_frontend']}")
discrepancies.append((node_type, node_discrepancies))
else:
print(f"\n{node_type} ({yaml_def['category']}): OK")
print(f"\n{'=' * 80}")
print(f"SUMMARY: {len(discrepancies)} nodes with discrepancies out of {len(all_node_types)} total")
print(f"{'=' * 80}")
# Output as JSON for further processing
output = {
'yaml_nodes': {k: v for k, v in yaml_nodes.items()},
'frontend_nodes': {k: v for k, v in frontend_nodes.items()},
'discrepancies': {k: v for k, v in discrepancies}
}
with open('node_comparison.json', 'w') as f:
json.dump(output, f, indent=2)
print(f"\nDetailed comparison saved to node_comparison.json")

View File

@@ -1,713 +0,0 @@
# Workflow 系统开发者文档
本文档面向 LangBot 开发者,详细介绍 Workflow 系统的技术架构、核心组件和扩展方法。
## 目录
- [系统架构概述](#系统架构概述)
- [目录结构](#目录结构)
- [核心组件](#核心组件)
- [后端模块](#后端模块)
- [前端组件](#前端组件)
- [数据库表结构](#数据库表结构)
- [API 接口文档](#api-接口文档)
- [如何添加新节点类型](#如何添加新节点类型)
- [调试功能实现](#调试功能实现)
---
## 系统架构概述
Workflow 系统采用前后端分离架构,主要包含以下层次:
```
┌─────────────────────────────────────────────────────────────┐
│ 前端层 (React) │
│ ┌─────────────┬──────────────┬──────────────┬───────────┐ │
│ │ 可视化编辑器 │ 节点面板 │ 属性面板 │ 调试器 │ │
│ │ ReactFlow │ NodePalette │ PropertyPanel│ Debugger │ │
│ └─────────────┴──────────────┴──────────────┴───────────┘ │
├─────────────────────────────────────────────────────────────┤
│ API 层 (Quart) │
│ ┌─────────────┬──────────────┬──────────────────────────┐ │
│ │ Workflow API│ Debug API │ Node Types API │ │
│ └─────────────┴──────────────┴──────────────────────────┘ │
├─────────────────────────────────────────────────────────────┤
│ 核心引擎层 (Python) │
│ ┌─────────────┬──────────────┬──────────────┬───────────┐ │
│ │ Executor │ Registry │ Node │ Entities │ │
│ │ 执行引擎 │ 节点注册表 │ 节点基类 │ 数据结构 │ │
│ └─────────────┴──────────────┴──────────────┴───────────┘ │
├─────────────────────────────────────────────────────────────┤
│ 存储层 (SQLAlchemy) │
│ ┌─────────────┬──────────────┬──────────────────────────┐ │
│ │ Workflow │ Executions │ Triggers │ │
│ └─────────────┴──────────────┴──────────────────────────┘ │
└─────────────────────────────────────────────────────────────┘
```
---
## 目录结构
### 后端代码结构
```
LangBot/src/langbot/pkg/
├── workflow/ # Workflow 核心模块
│ ├── __init__.py # 模块初始化,导出公共接口
│ ├── entities.py # 数据实体定义
│ ├── executor.py # 执行引擎
│ ├── node.py # 节点基类和装饰器
│ ├── registry.py # 节点类型注册表
│ └── nodes/ # 内置节点实现
│ ├── __init__.py # 注册所有内置节点
│ ├── trigger.py # 触发节点
│ ├── process.py # 处理节点
│ ├── control.py # 控制节点
│ └── action.py # 动作节点
├── entity/persistence/
│ └── workflow.py # 数据库模型
├── api/http/
│ ├── controller/groups/workflows/
│ │ └── workflows.py # API 路由控制器
│ └── service/
│ └── workflow.py # 业务逻辑服务
└── persistence/migrations/
└── dbm026_workflow_tables.py # 数据库迁移
```
### 前端代码结构
```
LangBot/web/src/app/home/workflows/
├── page.tsx # Workflow 列表页
├── WorkflowDetailContent.tsx # 详情页内容
├── store/
│ └── useWorkflowStore.ts # Zustand 状态管理
└── components/
├── workflow-editor/ # 可视化编辑器
│ ├── index.ts # 导出
│ ├── WorkflowEditorComponent.tsx # 主编辑器组件
│ ├── WorkflowNodeComponent.tsx # 自定义节点组件
│ ├── NodePalette.tsx # 节点面板
│ ├── PropertyPanel.tsx # 属性面板
│ └── node-configs/ # 节点配置元数据
│ ├── types.ts # 配置类型定义
│ ├── trigger-configs.ts
│ ├── ai-configs.ts
│ ├── process-configs.ts
│ ├── control-configs.ts
│ ├── action-configs.ts
│ ├── integration-configs.ts
│ └── index.ts # 配置汇总
├── workflow-debugger/ # 调试器组件
│ ├── index.ts
│ └── WorkflowDebugger.tsx
├── workflow-form/ # 表单组件
│ └── WorkflowFormComponent.tsx
└── workflow-executions/ # 执行历史组件
└── WorkflowExecutionsTab.tsx
```
---
## 核心组件
### 后端模块
#### 1. 执行引擎 (WorkflowExecutor)
位置:[`executor.py`](../../src/langbot/pkg/workflow/executor.py)
执行引擎负责工作流的实际执行,包括:
- **拓扑排序**:确定节点执行顺序
- **节点执行**:调用各节点的 execute 方法
- **控制流处理**:处理条件分支、循环、并行执行
- **错误处理**:支持重试机制
```python
class WorkflowExecutor:
async def execute(
self,
workflow: WorkflowDefinition,
context: ExecutionContext,
start_node_id: Optional[str] = None
) -> ExecutionContext:
"""执行工作流"""
# 1. 构建执行图
# 2. 初始化节点状态
# 3. 找到起始节点
# 4. 按拓扑顺序执行
```
**调试执行器 (DebugWorkflowExecutor)**
继承自 WorkflowExecutor增加了调试支持
- 断点支持
- 单步执行
- 暂停/继续
- 实时日志
```python
class DebugWorkflowExecutor(WorkflowExecutor):
async def execute_debug(
self,
workflow: WorkflowDefinition,
context: ExecutionContext,
debug_state: DebugExecutionState,
) -> ExecutionContext:
"""调试模式执行"""
```
#### 2. 节点注册表 (NodeTypeRegistry)
位置:[`registry.py`](../../src/langbot/pkg/workflow/registry.py)
单例模式管理所有节点类型:
```python
class NodeTypeRegistry:
_instance: Optional['NodeTypeRegistry'] = None
def register(self, node_type: str, node_class: type[WorkflowNode]):
"""注册节点类型"""
def create_instance(self, node_type: str, node_id: str, config: dict) -> WorkflowNode:
"""创建节点实例"""
def list_all(self) -> list[dict]:
"""获取所有节点类型的 Schema"""
```
#### 3. 节点基类 (WorkflowNode)
位置:[`node.py`](../../src/langbot/pkg/workflow/node.py)
所有节点必须继承此基类:
```python
class WorkflowNode(abc.ABC):
# 节点元数据
type_name: str = ""
name: str = ""
description: str = ""
category: str = "misc"
icon: str = ""
# 端口定义
inputs: list[NodePort] = []
outputs: list[NodePort] = []
# 配置 Schema
config_schema: list[NodeConfig] = []
@abc.abstractmethod
async def execute(
self,
inputs: dict[str, Any],
context: ExecutionContext
) -> dict[str, Any]:
"""执行节点逻辑"""
pass
```
#### 4. 数据实体 (entities.py)
主要数据结构:
```python
class WorkflowDefinition:
"""工作流定义"""
uuid: str
name: str
nodes: list[NodeDefinition]
edges: list[EdgeDefinition]
settings: WorkflowSettings
class ExecutionContext:
"""执行上下文"""
execution_id: str
workflow_id: str
status: ExecutionStatus
variables: dict
node_states: dict[str, NodeState]
history: list[ExecutionStep]
```
### 前端组件
#### 1. WorkflowEditorComponent
主编辑器组件,基于 React Flow 实现:
- **画布交互**:拖拽、缩放、平移
- **节点连接**:自动验证端口类型
- **撤销/重做**:基于历史记录栈
- **复制/粘贴**:支持多选复制
关键功能:
```tsx
function WorkflowEditorInner() {
const { nodes, edges, onNodesChange, onEdgesChange, onConnect } = useWorkflowStore();
// 拖放添加节点
const onDrop = useCallback((event: React.DragEvent) => {
const type = event.dataTransfer.getData('application/reactflow');
const position = screenToFlowPosition({ x: event.clientX, y: event.clientY });
addNode(type, position);
}, []);
// 复制粘贴
const handleCopy = useCallback(() => { ... }, []);
const handlePaste = useCallback(() => { ... }, []);
}
```
#### 2. NodePalette
节点面板组件,展示可用节点类型:
```tsx
function NodePalette() {
// 按类别组织节点
const categories = [
{ id: 'trigger', name: '触发节点', icon: Zap },
{ id: 'ai', name: 'AI 节点', icon: Brain },
{ id: 'process', name: '处理节点', icon: Cpu },
{ id: 'control', name: '控制节点', icon: GitBranch },
{ id: 'action', name: '动作节点', icon: Send },
{ id: 'integration', name: '集成节点', icon: Plug },
];
// 拖拽开始
const onDragStart = (event: React.DragEvent, nodeType: string) => {
event.dataTransfer.setData('application/reactflow', nodeType);
};
}
```
#### 3. PropertyPanel
属性面板组件,动态渲染节点配置表单:
```tsx
function PropertyPanel() {
const { selectedNodeId, nodes, updateNodeData } = useWorkflowStore();
// 根据节点类型获取配置元数据
const selectedNode = nodes.find(n => n.id === selectedNodeId);
const nodeConfig = getNodeConfig(selectedNode?.data?.nodeType);
// 动态渲染配置字段
return (
<div>
{nodeConfig?.fields.map(field => (
<ConfigField key={field.name} field={field} />
))}
</div>
);
}
```
#### 4. WorkflowDebugger
调试器组件,支持实时调试:
```tsx
function WorkflowDebugger({ workflowUuid, workflow }) {
const [debugState, setDebugState] = useState<DebugState>('idle');
const [executionId, setExecutionId] = useState<string>('');
const [logs, setLogs] = useState<ExecutionLog[]>([]);
// 启动调试
const startDebug = async () => {
const result = await backendClient.post(
`/api/v1/workflows/${workflowUuid}/debug/start`,
{ context, variables, breakpoints }
);
setExecutionId(result.execution_id);
};
// 轮询状态
useEffect(() => {
if (debugState === 'running') {
const interval = setInterval(fetchState, 500);
return () => clearInterval(interval);
}
}, [debugState]);
}
```
#### 5. useWorkflowStore
Zustand 状态管理:
```typescript
interface WorkflowState {
nodes: WorkflowNode[];
edges: WorkflowEdge[];
selectedNodeId: string | null;
history: HistoryEntry[];
historyIndex: number;
isDirty: boolean;
// Actions
addNode: (type: string, position: XYPosition) => void;
updateNodeData: (nodeId: string, data: Partial<NodeData>) => void;
deleteNode: (nodeId: string) => void;
undo: () => void;
redo: () => void;
}
export const useWorkflowStore = create<WorkflowState>((set, get) => ({
// ... state and actions
}));
```
---
## 数据库表结构
### workflows 表
```sql
CREATE TABLE workflows (
uuid VARCHAR(255) PRIMARY KEY,
name VARCHAR(255) NOT NULL,
description TEXT,
emoji VARCHAR(10) DEFAULT '🔄',
version INTEGER DEFAULT 1,
is_enabled BOOLEAN DEFAULT TRUE,
definition JSON NOT NULL, -- 节点和边定义
global_config JSON DEFAULT '{}', -- 全局配置
extensions_preferences JSON, -- 插件和 MCP 配置
created_at TIMESTAMP,
updated_at TIMESTAMP
);
```
### workflow_versions 表
```sql
CREATE TABLE workflow_versions (
id INTEGER PRIMARY KEY AUTOINCREMENT,
workflow_uuid VARCHAR(255) NOT NULL,
version INTEGER NOT NULL,
definition JSON NOT NULL,
global_config JSON DEFAULT '{}',
created_at TIMESTAMP,
created_by VARCHAR(255),
UNIQUE(workflow_uuid, version)
);
```
### workflow_executions 表
```sql
CREATE TABLE workflow_executions (
uuid VARCHAR(255) PRIMARY KEY,
workflow_uuid VARCHAR(255) NOT NULL,
workflow_version INTEGER NOT NULL,
status VARCHAR(20) NOT NULL, -- pending/running/completed/failed/cancelled
trigger_type VARCHAR(50),
trigger_data JSON,
variables JSON,
start_time TIMESTAMP,
end_time TIMESTAMP,
error TEXT,
created_at TIMESTAMP
);
```
### workflow_node_executions 表
```sql
CREATE TABLE workflow_node_executions (
id INTEGER PRIMARY KEY AUTOINCREMENT,
execution_uuid VARCHAR(255) NOT NULL,
node_id VARCHAR(100) NOT NULL,
node_type VARCHAR(50) NOT NULL,
status VARCHAR(20) NOT NULL,
inputs JSON,
outputs JSON,
start_time TIMESTAMP,
end_time TIMESTAMP,
error TEXT,
retry_count INTEGER DEFAULT 0
);
```
### workflow_triggers 表
```sql
CREATE TABLE workflow_triggers (
uuid VARCHAR(255) PRIMARY KEY,
workflow_uuid VARCHAR(255) NOT NULL,
type VARCHAR(50) NOT NULL, -- message/cron/event/webhook
config JSON NOT NULL,
is_enabled BOOLEAN DEFAULT TRUE,
priority INTEGER DEFAULT 0,
created_at TIMESTAMP,
updated_at TIMESTAMP
);
```
---
## API 接口文档
### Workflow CRUD
| 方法 | 路径 | 描述 |
|-----|------|------|
| GET | `/api/v1/workflows` | 获取工作流列表 |
| POST | `/api/v1/workflows` | 创建工作流 |
| GET | `/api/v1/workflows/:uuid` | 获取单个工作流 |
| PUT | `/api/v1/workflows/:uuid` | 更新工作流 |
| DELETE | `/api/v1/workflows/:uuid` | 删除工作流 |
| POST | `/api/v1/workflows/:uuid/copy` | 复制工作流 |
### 执行相关
| 方法 | 路径 | 描述 |
|-----|------|------|
| POST | `/api/v1/workflows/:uuid/execute` | 手动执行工作流 |
| GET | `/api/v1/workflows/:uuid/executions` | 获取执行记录 |
### 版本管理
| 方法 | 路径 | 描述 |
|-----|------|------|
| GET | `/api/v1/workflows/:uuid/versions` | 获取版本列表 |
| POST | `/api/v1/workflows/:uuid/rollback/:version` | 回滚到指定版本 |
### 调试 API
| 方法 | 路径 | 描述 |
|-----|------|------|
| POST | `/api/v1/workflows/:uuid/debug/start` | 启动调试 |
| POST | `/api/v1/workflows/:uuid/debug/:exec_id/pause` | 暂停执行 |
| POST | `/api/v1/workflows/:uuid/debug/:exec_id/resume` | 继续执行 |
| POST | `/api/v1/workflows/:uuid/debug/:exec_id/stop` | 停止执行 |
| POST | `/api/v1/workflows/:uuid/debug/:exec_id/step` | 单步执行 |
| GET | `/api/v1/workflows/:uuid/debug/:exec_id/state` | 获取调试状态 |
### 节点类型
| 方法 | 路径 | 描述 |
|-----|------|------|
| GET | `/api/v1/workflows/_/node-types` | 获取所有节点类型 |
| GET | `/api/v1/workflows/_/node-types/categories` | 按类别获取节点类型 |
---
## 如何添加新节点类型
### 步骤 1创建节点类
`LangBot/src/langbot/pkg/workflow/nodes/` 下创建或修改文件:
```python
from ..node import WorkflowNode, NodePort, NodeConfig, workflow_node
from ..entities import ExecutionContext
@workflow_node('my_custom_node')
class MyCustomNode(WorkflowNode):
"""自定义节点"""
# 元数据
type_name = 'my_custom_node'
name = '我的自定义节点'
description = '这是一个自定义节点'
category = 'process' # trigger/process/control/action/integration
icon = '🔧'
# 输入端口
inputs = [
NodePort(name='input', type='string', description='输入数据', required=True),
]
# 输出端口
outputs = [
NodePort(name='output', type='string', description='输出数据'),
]
# 配置字段
config_schema = [
NodeConfig(
name='option',
type='select',
required=True,
options=['选项A', '选项B'],
description='选择一个选项'
),
NodeConfig(
name='value',
type='string',
required=False,
default='默认值',
description='配置值'
),
]
async def execute(
self,
inputs: dict[str, Any],
context: ExecutionContext
) -> dict[str, Any]:
"""执行节点逻辑"""
input_data = inputs.get('input', '')
option = self.get_config('option')
value = self.get_config('value', '')
# 处理逻辑
result = f"处理: {input_data} with {option} and {value}"
return {'output': result}
```
### 步骤 2注册节点
`LangBot/src/langbot/pkg/workflow/nodes/__init__.py` 中导入:
```python
from .process import (
CodeExecutorNode,
HttpRequestNode,
DataTransformNode,
MyCustomNode, # 添加新节点
)
```
### 步骤 3添加前端配置
`LangBot/web/src/app/home/workflows/components/workflow-editor/node-configs/` 目录下添加配置:
```typescript
// process-configs.ts
export const processNodeConfigs: NodeConfigMap = {
// ... 其他配置
my_custom_node: {
type: 'my_custom_node',
label: 'workflows.nodes.myCustomNode',
description: 'workflows.nodes.myCustomNodeDesc',
icon: 'Wrench',
category: 'process',
fields: [
{
name: 'option',
type: 'select',
label: 'workflows.fields.option',
required: true,
options: [
{ value: '选项A', label: '选项 A' },
{ value: '选项B', label: '选项 B' },
],
},
{
name: 'value',
type: 'string',
label: 'workflows.fields.value',
required: false,
defaultValue: '默认值',
},
],
},
};
```
### 步骤 4添加国际化
`LangBot/web/src/i18n/locales/` 中添加翻译:
```typescript
// zh-Hans.ts
workflows: {
nodes: {
myCustomNode: '我的自定义节点',
myCustomNodeDesc: '这是一个自定义节点',
},
fields: {
option: '选项',
value: '值',
},
}
```
---
## 调试功能实现
### 后端调试状态管理
```python
class DebugExecutionState:
"""调试执行状态"""
def __init__(self, execution_id: str, breakpoints: list[str] = None):
self.execution_id = execution_id
self.status: str = 'running'
self.is_paused: bool = False
self.is_stopped: bool = False
self.breakpoints: set[str] = set(breakpoints or [])
self.logs: list[ExecutionLog] = []
self._pause_event = asyncio.Event()
def pause(self):
"""暂停执行"""
self.is_paused = True
self._pause_event.clear()
def resume(self):
"""继续执行"""
self.is_paused = False
self._pause_event.set()
async def wait_if_paused(self):
"""如果暂停则等待"""
if self.is_paused:
await self._pause_event.wait()
```
### 前端调试流程
1. **设置断点**:点击节点设置断点
2. **启动调试**:调用 `/debug/start` 启动调试执行
3. **轮询状态**:定期调用 `/debug/:id/state` 获取状态
4. **控制执行**:调用 pause/resume/step/stop 控制执行
5. **查看日志**:实时显示执行日志和节点状态
```typescript
// 调试状态轮询
const fetchDebugState = async () => {
const state = await backendClient.get(
`/api/v1/workflows/${workflowUuid}/debug/${executionId}/state`
);
// 更新节点状态
setNodeStates(state.node_states);
// 追加新日志
if (state.new_logs.length > 0) {
setLogs(prev => [...prev, ...state.new_logs]);
}
// 检查完成状态
if (state.status === 'completed' || state.status === 'error') {
setDebugState('idle');
}
};
```
---
## 扩展阅读
- [Workflow 功能设计文档](../../../plans/langbot-workflow-design.md)
- [用户使用指南](../user-guide/workflow-guide.md)
- [API 认证文档](../API_KEY_AUTH.md)

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@@ -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``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 AgentsEBA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 RequestRunnerlocal-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 |

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# 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``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 Handlerplugin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

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# 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。

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# 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 APIcall_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``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``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``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:
-`event_type``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/``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)
```

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@@ -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
`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
```

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@@ -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
`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
`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
`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": {}
}
```
`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"
},
...
]
}
}
```
`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
`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()`
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。

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# 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 1SDK 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`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``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``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`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`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`edit_message`)可通过 `self.edit_message()``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 5WebUI 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``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 v5.0M4-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

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# 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.

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# 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.

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# 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.

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# 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.

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# 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.

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# 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.

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# KOOK EBA Adapter
## Status
KOOK has been migrated to the EBA adapter directory:
```text
src/langbot/pkg/platform/adapters/kook/
├── adapter.py
├── api_impl.py
├── event_converter.py
├── manifest.yaml
├── message_converter.py
├── platform_api.py
└── types.py
```
The adapter is registered as `kook-eba`.
## Configuration
| Field | Required | Default | Description |
|-------|----------|---------|-------------|
| `token` | Yes | `""` | KOOK bot token. |
| `enable-stream-reply` | Yes | `false` | Reserved for shared platform configuration compatibility. |
## Events
| Event | Evidence | Notes |
|-------|----------|-------|
| `message.received` | `plugin-e2e-ui` | Real KOOK UI channel message reached `EBAEventProbe` as `MessageReceivedEvent`. |
| `platform.specific` | `plugin-e2e-ui` | KOOK gateway event without a common EBA mapping reached `EBAEventProbe` as `PlatformSpecificEventReceived`. |
## Common APIs
| API | Evidence | Notes |
|-----|----------|-------|
| `send_message` | `plugin-e2e-outbound` | Probe plugin sent channel messages through SDK `send_message`; KOOK returned message IDs. |
| `reply_message` | `unit` | Supports `reply_msg_id` and optional quoted replies when the source message ID is available. |
| `get_message` | `plugin-e2e-outbound` | Probe plugin fetched the cached triggering message. |
| `get_group_info` | `plugin-e2e-outbound` | Probe plugin received cached KOOK channel info. |
| `get_group_list` | `plugin-e2e-outbound` | Probe plugin received cached channel/group entities observed by the adapter. |
| `get_group_member_info` | `plugin-e2e-outbound` | Probe plugin received cached sender info as a group member. |
| `get_user_info` | `plugin-e2e-outbound` | Probe plugin received cached sender user info. |
| `get_friend_list` | `plugin-e2e-outbound` | Probe plugin received cached users. |
| `upload_file` | `unit` | Uses KOOK `asset/create` and returns URL/ID. |
| `get_file_url` | `unit` | KOOK media IDs are URL-like in the adapter path; returns the ID unchanged. |
| `delete_message` | `unit` | Calls KOOK delete endpoints. Live permission verification is still required. |
| `forward_message` | `plugin-e2e-outbound` | Probe plugin sent flattened forward content through SDK `send_message`. |
| `call_platform_api` | `plugin-e2e-outbound` | Probe plugin called safe KOOK platform-specific APIs through SDK `call_platform_api`. |
## Platform-Specific APIs
| Action | Evidence | Notes |
|--------|----------|-------|
| `get_current_user` | `plugin-e2e-outbound` | Probe plugin called `user/me`. |
| `get_user` | `plugin-e2e-outbound` | Probe plugin called `user/view` for the triggering sender. |
| `get_channel` | `plugin-e2e-outbound` | Probe plugin called `channel/view` for the triggering channel. |
| `get_guild` | `plugin-e2e-outbound` | Probe plugin called `guild/view`; gateway URLs redact token query values. |
| `get_gateway` | `plugin-e2e-outbound` | Probe plugin called `gateway/index`; returned token query values are redacted. |
| `send_direct_message` | `unit` | Calls `direct-message/create`. |
## Components
| Component | Receive Evidence | Send Evidence | Notes |
|-----------|------------------|---------------|-------|
| `Source` | `plugin-e2e-ui` | N/A | KOOK message ID and timestamp are preserved. |
| `Plain` | `plugin-e2e-ui` | `plugin-e2e-outbound` | Text and KMarkdown are represented as plain common text. |
| `At` | `plugin-e2e-ui` | `plugin-e2e-outbound` | KOOK `(met)<id>(met)` mentions map to common `At`. |
| `AtAll` | `unit` | `plugin-e2e-outbound` | KOOK `(met)all(met)` maps to common `AtAll`; real inbound UI AtAll was not tested. |
| `Image` | `unit` | `unit` | URL/image ID based path only; live rendering still needs verification. |
| `Voice` | `unit` | `unit` | URL based path only; live rendering still needs verification. |
| `File` | `unit` | `unit` | URL based path only; upload API is exposed separately. |
| `Forward` | `unit` | `unit` | Outbound forwards are flattened; inbound structured forwards are not exposed by current legacy implementation. |
| `Unknown` | `unit` | N/A | Unsupported KOOK message types become `Unknown` or `PlatformSpecificEvent`. |
## Acceptance Record
Test date: June 4, 2026.
Plugin E2E verified on June 4, 2026 with `EBAEventProbe`, SDK standalone runtime, KOOK WebSocket adapter, and a real KOOK channel UI message.
Evidence:
- JSONL: `data/temp/kook_eba_plugin_probe.jsonl`
- Plugin log: `data/logs/eba-probe-kook.log`
Observed and verified:
- A real KOOK UI channel message reached the plugin as `MessageReceived` with `bot_uuid=7ab5b065-6e4e-4def-95f0-3c265366e26f`, `adapter_name=kook`, common sender/group/chat fields, and common `MessageChain` components.
- KOOK gateway-specific event reached the plugin as `PlatformSpecificEventReceived`.
- Probe plugin called SDK `send_message`; KOOK returned message IDs for text, At, AtAll, image URL/base64 fallback path, quote fallback, file fallback, and flattened forward cases.
- Probe plugin called common API methods through the SDK path: `get_message`, `get_user_info`, `get_friend_list`, `get_group_info`, `get_group_list`, and `get_group_member_info`.
- Probe plugin called safe KOOK platform-specific APIs through SDK `call_platform_api`: `get_current_user`, `get_user`, `get_channel`, `get_gateway`, and `get_guild`.
Run:
```bash
uv run pytest tests/unit_tests/platform/test_kook_eba_adapter.py
git diff --check
```
Blocked or partial items:
- `plugin-e2e-ui` inbound coverage for image, file, voice, AtAll, quote, and forward.
- `plugin-e2e-outbound` visual verification in KOOK UI for image/file/voice rendering. KOOK returned message IDs, but UI inspection was not performed in this run.
- `reply_message` and `delete_message` live permission verification.
- Destructive or permission-sensitive APIs were not declared beyond delete; KOOK mute/kick/leave remain explicit `NotSupportedError` paths until a safe fixture is available.

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# 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.

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# 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.

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# 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.

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# 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`.

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# 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.

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# 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.

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# 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.

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# 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.

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@@ -1,425 +0,0 @@
# Workflow 用户指南
本文档帮助您了解和使用 LangBot 的 Workflow工作流功能通过可视化方式构建自动化的对话处理流程。
## 目录
- [功能介绍](#功能介绍)
- [快速入门](#快速入门)
- [节点类型说明](#节点类型说明)
- [编辑器使用指南](#编辑器使用指南)
- [调试功能](#调试功能)
- [常见问题解答](#常见问题解答)
---
## 功能介绍
### 什么是 Workflow
Workflow工作流是 LangBot 提供的可视化自动化编排系统。通过拖拽节点、连接边的方式,您可以:
- 📝 **构建复杂的对话流程**:使用条件分支、循环等控制节点
- 🤖 **调用 AI 能力**:集成 LLM、知识库检索、参数提取
- 🔗 **连接外部服务**:集成 Dify、n8n、Coze 等平台
-**自动化任务执行**消息触发、定时触发、Webhook 触发
### Workflow vs Pipeline
| 对比项 | Pipeline | Workflow |
|-------|----------|----------|
| 配置方式 | 表单配置 | 可视化拖拽 |
| 流程控制 | 线性执行 | 支持分支、循环、并行 |
| 适用场景 | 简单对话 | 复杂流程 |
| 学习曲线 | 低 | 中等 |
---
## 快速入门
### 第一步:创建 Workflow
1. 在侧边栏点击 **Workflow** 进入工作流列表
2. 点击右上角 **创建工作流** 按钮
3. 填写基本信息:
- **名称**:给工作流起一个描述性的名字
- **描述**:可选,说明工作流的用途
- **图标**:选择一个 emoji 作为标识
### 第二步:添加节点
进入编辑器后,左侧是节点面板,中间是画布区域,右侧是属性面板。
1. **添加触发节点**:从左侧面板拖拽一个"消息触发"节点到画布
2. **添加 AI 节点**:拖拽一个"LLM 调用"节点
3. **添加回复节点**:拖拽一个"回复消息"节点
### 第三步:连接节点
1. 将鼠标悬停在触发节点的输出端口(右侧小圆点)
2. 按住鼠标拖拽到 LLM 节点的输入端口(左侧小圆点)
3. 同样方式连接 LLM 节点和回复节点
```
[消息触发] ──▶ [LLM 调用] ──▶ [回复消息]
```
### 第四步:配置节点
点击 LLM 调用节点,在右侧属性面板配置:
- **运行方式**:选择"本地 Agent"
- **系统提示词**:描述 AI 的角色和行为
- **模型**:选择要使用的 LLM 模型
点击回复消息节点配置:
- **消息内容**:设置为 `{{nodes.llm_call.outputs.response}}`(引用 LLM 输出)
### 第五步:保存并绑定
1. 点击工具栏的 **保存** 按钮
2. 返回 Bot 配置页面
3. 在 Bot 的绑定设置中选择 **Workflow**,然后选择刚创建的工作流
恭喜!您已经创建了第一个 Workflow。
---
## 节点类型说明
### 触发节点 (Trigger)
触发节点是工作流的入口,定义何时启动执行。
| 节点 | 说明 | 输出 |
|-----|------|------|
| 消息触发 | 收到消息时触发 | message, sender_id, platform |
| 定时触发 | 按 Cron 表达式定时触发 | timestamp |
| Webhook 触发 | 收到 HTTP 请求时触发 | request_body, headers |
| 事件触发 | 系统事件触发 | event_type, event_data |
**消息触发配置示例**
```yaml
触发条件:
- 关键词匹配: ["帮助", "help"]
- 平台: ["wechat", "qq"]
```
### AI 节点
AI 节点用于调用各种 AI 能力。
| 节点 | 说明 | 典型用途 |
|-----|------|---------|
| LLM 调用 | 调用大语言模型 | 生成回复、理解意图 |
| 问题分类器 | 对用户问题分类 | 路由到不同处理分支 |
| 参数提取器 | 从文本提取结构化数据 | 提取订单号、日期等 |
| 知识库检索 | 查询知识库 | RAG 增强回复 |
**LLM 调用配置示例**
```yaml
运行方式: 本地 Agent
模型: gpt-4
系统提示词: |
你是一个友好的客服助手。
请根据用户的问题提供帮助。
温度: 0.7
最大 Token 数: 2000
```
### 处理节点 (Process)
处理节点用于数据处理和外部调用。
| 节点 | 说明 | 典型用途 |
|-----|------|---------|
| 代码执行 | 执行 Python/JavaScript 代码 | 数据处理、格式转换 |
| HTTP 请求 | 发送 HTTP 请求 | 调用外部 API |
| 数据转换 | JSON/模板转换 | 数据格式化 |
**HTTP 请求配置示例**
```yaml
URL: https://api.example.com/data
方法: POST
请求头:
Content-Type: application/json
Authorization: Bearer {{variables.api_key}}
请求体: |
{"query": "{{message.content}}"}
```
### 控制节点 (Control)
控制节点用于流程控制。
| 节点 | 说明 | 用途 |
|-----|------|------|
| 条件分支 | 二选一分支 | if-else 逻辑 |
| 多路分支 | 多选一分支 | switch-case 逻辑 |
| 循环 | 遍历数组 | 批量处理 |
| 并行 | 同时执行多分支 | 并发处理 |
| 等待 | 暂停执行 | 延时处理 |
| 合并 | 合并多个分支 | 汇总结果 |
**条件分支配置示例**
```yaml
条件表达式: "{{nodes.classifier.outputs.category}}" == "complaint"
真分支: 投诉处理
假分支: 普通咨询
```
### 动作节点 (Action)
动作节点执行具体操作。
| 节点 | 说明 | 用途 |
|-----|------|------|
| 发送消息 | 主动发送消息 | 通知、推送 |
| 回复消息 | 回复当前消息 | 对话回复 |
| 存储数据 | 保存数据到存储 | 持久化 |
| 调用 Pipeline | 调用现有 Pipeline | 复用现有流程 |
**回复消息配置示例**
```yaml
消息内容: |
感谢您的咨询!
{{nodes.llm_call.outputs.response}}
如有其他问题,随时联系我。
```
### 集成节点 (Integration)
集成节点连接外部平台。
| 节点 | 说明 | 平台 |
|-----|------|------|
| Dify 工作流 | 调用 Dify 应用 | Dify |
| Dify 知识库 | 查询 Dify 知识库 | Dify |
| n8n 工作流 | 调用 n8n 流程 | n8n |
| Langflow | 调用 Langflow 流程 | Langflow |
| Coze Bot | 调用扣子 Bot | Coze |
**Dify 工作流配置示例**
```yaml
API 地址: https://api.dify.ai/v1
API Key: sk-xxxxx
应用类型: workflow
同步对话历史: true
```
---
## 编辑器使用指南
### 画布操作
| 操作 | 方式 |
|-----|------|
| 平移画布 | 按住鼠标中键/空格+左键 拖拽 |
| 缩放画布 | 鼠标滚轮 / 工具栏按钮 |
| 框选多个节点 | 按住 Shift + 拖拽框选 |
| 适应视图 | 点击工具栏"适应"按钮 |
### 节点操作
| 操作 | 方式 |
|-----|------|
| 添加节点 | 从左侧面板拖拽到画布 |
| 移动节点 | 点击节点拖拽 |
| 删除节点 | 选中后按 Delete / 点击工具栏删除 |
| 复制节点 | 选中后 Ctrl+C / 工具栏复制 |
| 粘贴节点 | Ctrl+V / 工具栏粘贴 |
### 连接操作
| 操作 | 方式 |
|-----|------|
| 创建连接 | 从输出端口拖拽到输入端口 |
| 删除连接 | 点击连接线后按 Delete |
| 选中连接 | 点击连接线 |
### 快捷键
| 快捷键 | 功能 |
|-------|------|
| Ctrl + Z | 撤销 |
| Ctrl + Shift + Z | 重做 |
| Ctrl + C | 复制 |
| Ctrl + V | 粘贴 |
| Delete | 删除选中 |
| Ctrl + S | 保存 |
### 工具栏功能
```
[撤销] [重做] | [放大] [缩小] [适应] | [复制] [粘贴] [删除] | [保存] [调试]
```
---
## 调试功能
### 启动调试
1. 点击工具栏的 **调试** 按钮
2. 在调试面板中配置初始数据:
- **输入消息**:模拟用户发送的消息
- **会话 ID**:可选,用于测试会话变量
- **变量**:设置初始变量值
3. 点击 **开始调试** 按钮
### 调试控制
| 按钮 | 功能 |
|-----|------|
| ▶️ 开始/继续 | 开始或继续执行 |
| ⏸️ 暂停 | 暂停执行 |
| ⏹️ 停止 | 停止执行 |
| ⏭️ 单步 | 执行下一个节点 |
### 断点
- **设置断点**:点击节点上的断点图标
- **断点触发**:执行到断点时自动暂停
- **查看状态**:在暂停时查看节点的输入输出
### 执行日志
调试面板下方显示实时日志:
```
[INFO] 2024-01-15 10:30:00 - Starting debug execution
[INFO] 2024-01-15 10:30:00 - Executing node: message_trigger
[DEBUG] 2024-01-15 10:30:00 - Node inputs: {"message": "你好"}
[INFO] 2024-01-15 10:30:01 - Node completed in 50ms
[INFO] 2024-01-15 10:30:01 - Executing node: llm_call
...
```
### 节点状态颜色
| 颜色 | 状态 |
|-----|------|
| 灰色 | 待执行 |
| 蓝色 | 执行中 |
| 绿色 | 已完成 |
| 红色 | 失败 |
| 黄色 | 已跳过 |
---
## 常见问题解答
### Q1如何在节点间传递数据
使用表达式语法引用其他节点的输出:
```
{{nodes.节点ID.outputs.输出名称}}
```
例如:
- `{{nodes.llm_call.outputs.response}}` - 引用 LLM 节点的响应
- `{{nodes.http_request.outputs.body}}` - 引用 HTTP 请求的响应体
### Q2如何使用变量
Workflow 支持三种变量类型:
1. **工作流变量**`{{variables.变量名}}`
2. **会话变量**`{{conversation_variables.变量名}}`
3. **消息上下文**`{{message.content}}``{{message.sender_id}}`
### Q3条件分支如何写条件表达式
支持以下运算符:
- 比较:`==`, `!=`, `>`, `<`, `>=`, `<=`
- 逻辑:`and`, `or`, `not`
- 包含:`in`
示例:
```python
# 字符串比较
"{{nodes.classifier.outputs.intent}}" == "purchase"
# 数值比较
{{nodes.extractor.outputs.amount}} > 1000
# 包含检查
"退款" in "{{message.content}}"
```
### Q4如何处理错误
1. **节点级重试**:在节点配置中设置重试次数
2. **全局错误处理**:在 Workflow 设置中配置错误处理策略
3. **条件分支**:使用条件节点检查上一节点的状态
### Q5如何查看执行历史
1. 进入 Workflow 详情页
2. 点击 **执行历史** 标签
3. 查看每次执行的状态、耗时、输入输出
### Q6Workflow 可以被多个 Bot 使用吗?
是的。一个 Workflow 可以被多个 Bot 绑定使用,但每个 Bot 只能绑定一个处理单元Pipeline 或 Workflow
### Q7如何复制现有的 Workflow
在 Workflow 列表页,点击工作流卡片右上角的菜单,选择"复制"即可创建副本。
### Q8支持版本回滚吗
支持。每次保存都会创建新版本。在 Workflow 详情页可以查看版本历史并回滚到指定版本。
---
## 最佳实践
### 1. 合理命名
- 为节点和 Workflow 使用描述性名称
- 使用统一的命名规范
### 2. 模块化设计
- 将复杂流程拆分为多个小 Workflow
- 使用"调用 Pipeline"节点复用现有流程
### 3. 错误处理
- 为关键节点设置重试机制
- 使用条件分支处理异常情况
- 添加日志记录便于排查问题
### 4. 测试先行
- 使用调试功能充分测试
- 准备多种测试场景
- 检查边界情况
### 5. 性能优化
- 避免不必要的节点
- 使用并行节点提高效率
- 合理设置超时时间
---
## 更多资源
- [开发者文档](../development/workflow-system.md)
- [设计文档](../../../plans/langbot-workflow-design.md)
- [API 文档](../service-api-openapi.json)

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@@ -1,6 +1,6 @@
[project]
name = "langbot"
version = "4.9.7"
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 @ file:///home/typer/Desktop/langbot-plugin-sdk",
"langbot-plugin==0.3.10",
"asyncpg>=0.30.0",
"line-bot-sdk>=3.19.0",
"matrix-nio>=0.25.2",
@@ -118,11 +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",
@@ -223,4 +221,3 @@ skip-magic-trailing-comma = false
# Like Black, automatically detect the appropriate line ending.
line-ending = "auto"

View File

@@ -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]

View File

@@ -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"

View File

@@ -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 ==="

View File

@@ -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 ==="

View File

@@ -1,3 +1,3 @@
"""LangBot - Production-grade platform for building agentic IM bots"""
__version__ = '4.9.7'
__version__ = '4.9.6'

View File

@@ -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()}')

View File

@@ -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')
raise Exception('拒绝请求')
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
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

View File

@@ -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

View File

@@ -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'

View File

@@ -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

View File

@@ -1,6 +1,5 @@
import quart
import mimetypes
import asyncio
from ... import group
from langbot.pkg.utils import importutil
@@ -36,640 +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
import io
import base64
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:
import qrcode as qr_lib
for _attempt in range(3):
qr_resp = await client.fetch_qrcode()
if not qr_resp.qrcode or not qr_resp.qrcode_img_content:
raise Exception('Failed to get QR code from server')
# Generate QR code image locally
qr = qr_lib.QRCode(error_correction=qr_lib.constants.ERROR_CORRECT_L)
qr.add_data(qr_resp.qrcode_img_content)
qr.make(fit=True)
img = qr.make_image(fill_color='black', back_color='white')
buf = io.BytesIO()
img.save(buf, format='PNG')
b64 = base64.b64encode(buf.getvalue()).decode('utf-8')
data_url = f'data:image/png;base64,{b64}'
def _update_qr():
session['qr_data_url'] = data_url
session['expire_at'] = time.time() + 480 # 8 minutes
session['status'] = 'waiting'
loop.call_soon_threadsafe(_update_qr)
# Poll for scan status
deadline = loop.time() + 180
while loop.time() < deadline:
try:
status_resp = await client.poll_qrcode_status(qr_resp.qrcode)
except Exception:
await asyncio.sleep(2)
continue
if status_resp.status == 'confirmed' and status_resp.bot_token:
session['status'] = 'success'
session['token'] = status_resp.bot_token
session['base_url'] = status_resp.baseurl or client.base_url
session['account_id'] = status_resp.ilink_bot_id or ''
return
if status_resp.status == 'expired':
break # retry with new QR code
await asyncio.sleep(1)
else:
pass # timeout, retry
# All retries exhausted
session['status'] = 'error'
session['error'] = 'QR code login failed: max retries exceeded'
except Exception as e:
session['status'] = 'error'
session['error'] = str(e)
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']}
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)
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={})

View File

@@ -7,10 +7,8 @@ import httpx
import uuid
import os
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
@@ -41,16 +39,6 @@ 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):
async def _check_extensions_limit(self) -> str | None:
@@ -150,15 +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(
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})
return self.success(data={'config': plugin['plugin_config']})
elif quart.request.method == 'PUT':
data = await quart.request.json
@@ -209,7 +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'; "

View File

@@ -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'],

View File

@@ -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()

View File

@@ -1,5 +0,0 @@
# Workflow router group
from .workflows import WorkflowsRouterGroup, ExecutionsRouterGroup
from .websocket_chat import WorkflowWebSocketChatRouterGroup
__all__ = ['WorkflowsRouterGroup', 'ExecutionsRouterGroup', 'WorkflowWebSocketChatRouterGroup']

View File

@@ -1,260 +0,0 @@
"""Workflow WebSocket聊天路由 - 支持工作流调试的双向实时通信"""
import asyncio
import datetime
import json
import logging
import quart
from ... import group
from ......platform.sources.websocket_manager import ws_connection_manager
logger = logging.getLogger(__name__)
@group.group_class('workflow_websocket_chat', '/api/v1/workflows/<workflow_uuid>/ws')
class WorkflowWebSocketChatRouterGroup(group.RouterGroup):
async def initialize(self) -> None:
@self.quart_app.websocket(self.path + '/connect')
async def workflow_websocket_connect(workflow_uuid: str):
"""
建立工作流WebSocket连接
URL参数:
- workflow_uuid: 工作流UUID
- session_type: 会话类型 (person/group)
"""
try:
session_type = quart.websocket.args.get('session_type', 'person')
logger.info(
'Workflow WebSocket connect request received',
extra={
'workflow_uuid': workflow_uuid,
'session_type': session_type,
'path': quart.websocket.path,
'query_string': quart.websocket.query_string.decode('utf-8', errors='ignore'),
'remote_addr': getattr(quart.websocket, 'remote_addr', None),
'user_agent': quart.websocket.headers.get('User-Agent', ''),
'host': quart.websocket.headers.get('Host', ''),
'origin': quart.websocket.headers.get('Origin', ''),
},
)
if session_type not in ['person', 'group']:
await quart.websocket.send(
json.dumps({'type': 'error', 'message': 'session_type must be person or group'})
)
return
websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
if not websocket_adapter:
logger.warning(
'Workflow WebSocket adapter missing',
extra={
'workflow_uuid': workflow_uuid,
'session_type': session_type,
},
)
await quart.websocket.send(json.dumps({'type': 'error', 'message': 'WebSocket adapter not found'}))
return
connection = await ws_connection_manager.add_connection(
websocket=quart.websocket._get_current_object(),
pipeline_uuid=workflow_uuid,
session_type=session_type,
metadata={'user_agent': quart.websocket.headers.get('User-Agent', ''), 'is_workflow': True},
)
await quart.websocket.send(
json.dumps(
{
'type': 'connected',
'connection_id': connection.connection_id,
'workflow_uuid': workflow_uuid,
'session_type': session_type,
'timestamp': connection.created_at.isoformat(),
}
)
)
logger.debug(
f'Workflow WebSocket connection established: {connection.connection_id} '
f'(workflow={workflow_uuid}, session_type={session_type})'
)
receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter))
send_task = asyncio.create_task(self._handle_send(connection))
try:
await asyncio.gather(receive_task, send_task)
except Exception as e:
logger.error(f'Workflow WebSocket task execution error: {e}')
finally:
await ws_connection_manager.remove_connection(connection.connection_id)
logger.debug(f'Workflow WebSocket connection cleaned: {connection.connection_id}')
except Exception as e:
logger.error(
'Workflow WebSocket connection error',
exc_info=True,
extra={
'workflow_uuid': workflow_uuid,
'session_type': quart.websocket.args.get('session_type', 'person'),
'path': quart.websocket.path,
'query_string': quart.websocket.query_string.decode('utf-8', errors='ignore'),
'remote_addr': getattr(quart.websocket, 'remote_addr', None),
},
)
try:
await quart.websocket.send(json.dumps({'type': 'error', 'message': str(e)}))
except Exception as send_error:
logger.debug(
'Failed to send error message to workflow websocket client',
exc_info=True,
extra={
'workflow_uuid': workflow_uuid,
'send_error': str(send_error),
},
)
@self.route('/messages/<session_type>', methods=['GET'])
async def get_messages(workflow_uuid: str, session_type: str) -> str:
"""获取工作流消息历史"""
try:
if session_type not in ['person', 'group']:
return self.http_status(400, -1, 'session_type must be person or group')
websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
if not websocket_adapter:
return self.http_status(404, -1, 'WebSocket adapter not found')
messages = websocket_adapter.get_websocket_messages(workflow_uuid, session_type)
return self.success(data={'messages': messages})
except Exception as e:
return self.http_status(500, -1, f'Internal server error: {str(e)}')
@self.route('/reset/<session_type>', methods=['POST'])
async def reset_session(workflow_uuid: str, session_type: str) -> str:
"""重置工作流会话"""
try:
if session_type not in ['person', 'group']:
return self.http_status(400, -1, 'session_type must be person or group')
websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
if not websocket_adapter:
return self.http_status(404, -1, 'WebSocket adapter not found')
websocket_adapter.reset_session(workflow_uuid, session_type)
return self.success(data={'message': 'Session reset successfully'})
except Exception as e:
return self.http_status(500, -1, f'Internal server error: {str(e)}')
@self.route('/connections', methods=['GET'])
async def get_connections(workflow_uuid: str) -> str:
"""获取当前工作流连接统计"""
try:
stats = ws_connection_manager.get_stats()
connections = await ws_connection_manager.get_connections_by_pipeline(workflow_uuid)
return self.success(
data={
'stats': stats,
'connections': [
{
'connection_id': conn.connection_id,
'session_type': conn.session_type,
'created_at': conn.created_at.isoformat(),
'last_active': conn.last_active.isoformat(),
'is_active': conn.is_active,
}
for conn in connections
],
}
)
except Exception as e:
return self.http_status(500, -1, f'Internal server error: {str(e)}')
@self.route('/broadcast', methods=['POST'])
async def broadcast_message(workflow_uuid: str) -> str:
"""向所有工作流连接广播消息"""
try:
data = await quart.request.get_json()
message = data.get('message')
if not message:
return self.http_status(400, -1, 'message is required')
broadcast_data = {
'type': 'broadcast',
'message': message,
'timestamp': datetime.datetime.now().isoformat(),
}
await ws_connection_manager.broadcast_to_pipeline(workflow_uuid, broadcast_data)
return self.success(data={'message': 'Broadcast sent successfully'})
except Exception as e:
return self.http_status(500, -1, f'Internal server error: {str(e)}')
async def _handle_receive(self, connection, websocket_adapter):
"""处理接收消息的任务"""
try:
while connection.is_active:
message = await quart.websocket.receive()
await ws_connection_manager.update_activity(connection.connection_id)
try:
data = json.loads(message)
message_type = data.get('type', 'message')
if message_type == 'ping':
await connection.send_queue.put(
{'type': 'pong', 'timestamp': datetime.datetime.now().isoformat()}
)
elif message_type == 'message':
logger.debug(f'收到工作流消息: {data} from {connection.connection_id}')
await websocket_adapter.handle_websocket_message(connection, data)
elif message_type == 'disconnect':
logger.debug(f'Client disconnected: {connection.connection_id}')
break
else:
logger.warning(f'Unknown message type: {message_type}')
except json.JSONDecodeError:
logger.error(f'Invalid JSON message: {message}')
await connection.send_queue.put({'type': 'error', 'message': 'Invalid JSON format'})
except Exception as e:
logger.error(f'Receive message error: {e}', exc_info=True)
finally:
connection.is_active = False
async def _handle_send(self, connection):
"""处理发送消息的任务"""
try:
while connection.is_active:
try:
message = await asyncio.wait_for(connection.send_queue.get(), timeout=1.0)
await quart.websocket.send(json.dumps(message))
except asyncio.TimeoutError:
continue
except Exception as e:
logger.error(f'Send message error: {e}', exc_info=True)
finally:
connection.is_active = False

View File

@@ -1,482 +0,0 @@
from __future__ import annotations
import quart
from ... import group
from ....service.workflow import WorkflowExecutionFailedError
@group.group_class('workflows', '/api/v1/workflows')
class WorkflowsRouterGroup(group.RouterGroup):
"""Workflow API router group"""
async def initialize(self) -> None:
# Workflow CRUD
@self.route('', methods=['GET', 'POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:
if quart.request.method == 'GET':
sort_by = quart.request.args.get('sort_by', 'created_at')
sort_order = quart.request.args.get('sort_order', 'DESC')
enabled_only = quart.request.args.get('enabled_only', 'false').lower() == 'true'
return self.success(
data={'workflows': await self.ap.workflow_service.get_workflows(sort_by, sort_order, enabled_only)}
)
elif quart.request.method == 'POST':
json_data = await quart.request.json
workflow_uuid = await self.ap.workflow_service.create_workflow(json_data)
return self.success(data={'uuid': workflow_uuid})
# Get node types (available nodes for the editor)
@self.route('/_/node-types', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:
return self.success(
data={
'node_types': await self.ap.workflow_service.get_node_types(),
'categories': await self.ap.workflow_service.get_node_types_by_category_meta(),
}
)
# Get node types by category
@self.route('/_/node-types/categories', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:
return self.success(data={'categories': await self.ap.workflow_service.get_node_types_by_category()})
# Single workflow operations
@self.route(
'/<workflow_uuid>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY
)
async def _(workflow_uuid: str) -> str:
if quart.request.method == 'GET':
workflow = await self.ap.workflow_service.get_workflow(workflow_uuid)
if workflow is None:
return self.http_status(404, -1, 'workflow not found')
return self.success(data={'workflow': workflow})
elif quart.request.method == 'PUT':
json_data = await quart.request.json
try:
await self.ap.workflow_service.update_workflow(workflow_uuid, json_data)
return self.success()
except ValueError as e:
return self.http_status(404, -1, str(e))
elif quart.request.method == 'DELETE':
await self.ap.workflow_service.delete_workflow(workflow_uuid)
return self.success()
# Publish workflow (enable)
@self.route('/<workflow_uuid>/publish', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(workflow_uuid: str) -> str:
try:
await self.ap.workflow_service.publish_workflow(workflow_uuid)
return self.success()
except ValueError as e:
return self.http_status(404, -1, str(e))
# Unpublish workflow (disable)
@self.route('/<workflow_uuid>/unpublish', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(workflow_uuid: str) -> str:
try:
await self.ap.workflow_service.unpublish_workflow(workflow_uuid)
return self.success()
except ValueError as e:
return self.http_status(404, -1, str(e))
# Copy workflow
@self.route('/<workflow_uuid>/copy', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(workflow_uuid: str) -> str:
try:
new_uuid = await self.ap.workflow_service.copy_workflow(workflow_uuid)
return self.success(data={'uuid': new_uuid})
except ValueError as e:
return self.http_status(404, -1, str(e))
# Execute workflow manually
@self.route('/<workflow_uuid>/execute', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(workflow_uuid: str) -> str:
json_data = await quart.request.json or {}
trigger_data = json_data.get('trigger_data', {})
session_id = json_data.get('session_id')
user_id = json_data.get('user_id')
bot_id = json_data.get('bot_id')
try:
execution_id = await self.ap.workflow_service.execute_workflow(
workflow_uuid,
trigger_type='manual',
trigger_data=trigger_data,
session_id=session_id,
user_id=user_id,
bot_id=bot_id,
)
return self.success(data={'execution_id': execution_id})
except ValueError as e:
return self.http_status(404, -1, str(e))
except WorkflowExecutionFailedError as e:
return self.http_status(500, -1, e.message)
# Get workflow executions
@self.route('/<workflow_uuid>/executions', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(workflow_uuid: str) -> str:
limit = int(quart.request.args.get('limit', 50))
offset = int(quart.request.args.get('offset', 0))
executions = await self.ap.workflow_service.get_executions(
workflow_uuid=workflow_uuid, limit=limit, offset=offset
)
return self.success(data=executions)
@self.route(
'/<workflow_uuid>/executions/<execution_uuid>',
methods=['GET'],
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
)
async def _(workflow_uuid: str, execution_uuid: str) -> str:
execution = await self.ap.workflow_service.get_execution(execution_uuid)
if execution is None:
return self.http_status(404, -1, 'execution not found')
if execution.get('workflow_uuid') != workflow_uuid:
return self.http_status(404, -1, 'execution not found in workflow')
return self.success(data={'execution': execution})
# Get workflow versions
@self.route('/<workflow_uuid>/versions', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(workflow_uuid: str) -> str:
versions = await self.ap.workflow_service.get_versions(workflow_uuid)
return self.success(data={'versions': versions})
# Rollback to a specific version
@self.route(
'/<workflow_uuid>/rollback/<int:version>', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY
)
async def _(workflow_uuid: str, version: int) -> str:
try:
await self.ap.workflow_service.rollback_to_version(workflow_uuid, version)
return self.success()
except ValueError as e:
return self.http_status(404, -1, str(e))
# Workflow extensions (plugins and MCP servers)
@self.route(
'/<workflow_uuid>/extensions', methods=['GET', 'PUT'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY
)
async def _(workflow_uuid: str) -> str:
if quart.request.method == 'GET':
workflow = await self.ap.workflow_service.get_workflow(workflow_uuid)
if workflow is None:
return self.http_status(404, -1, 'workflow not found')
# Get available plugins and MCP servers
pipeline_component_kinds = ['Command', 'EventListener', 'Tool']
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)
extensions_prefs = workflow.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),
'bound_plugins': extensions_prefs.get('plugins', []),
'available_plugins': plugins,
'bound_mcp_servers': extensions_prefs.get('mcp_servers', []),
'available_mcp_servers': mcp_servers,
}
)
elif quart.request.method == 'PUT':
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)
bound_plugins = json_data.get('bound_plugins', [])
bound_mcp_servers = json_data.get('bound_mcp_servers', [])
try:
await self.ap.workflow_service.update_workflow_extensions(
workflow_uuid, bound_plugins, bound_mcp_servers, enable_all_plugins, enable_all_mcp_servers
)
return self.success()
except ValueError as e:
return self.http_status(404, -1, str(e))
# Debug API - Start debug execution
@self.route('/<workflow_uuid>/debug/start', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(workflow_uuid: str) -> str:
json_data = await quart.request.json or {}
context = json_data.get('context', {})
variables = json_data.get('variables', {})
breakpoints = json_data.get('breakpoints', [])
try:
execution_id = await self.ap.workflow_service.start_debug_execution(
workflow_uuid, context=context, variables=variables, breakpoints=breakpoints
)
return self.success(data={'execution_id': execution_id})
except ValueError as e:
return self.http_status(404, -1, str(e))
# Debug API - Pause execution
@self.route(
'/<workflow_uuid>/debug/<execution_uuid>/pause',
methods=['POST'],
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
)
async def _(workflow_uuid: str, execution_uuid: str) -> str:
try:
await self.ap.workflow_service.pause_debug_execution(workflow_uuid, execution_uuid)
return self.success()
except ValueError as e:
return self.http_status(404, -1, str(e))
# Debug API - Resume execution
@self.route(
'/<workflow_uuid>/debug/<execution_uuid>/resume',
methods=['POST'],
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
)
async def _(workflow_uuid: str, execution_uuid: str) -> str:
try:
await self.ap.workflow_service.resume_debug_execution(workflow_uuid, execution_uuid)
return self.success()
except ValueError as e:
return self.http_status(404, -1, str(e))
# Debug API - Step execution
@self.route(
'/<workflow_uuid>/debug/<execution_uuid>/step',
methods=['POST'],
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
)
async def _(workflow_uuid: str, execution_uuid: str) -> str:
try:
result = await self.ap.workflow_service.step_debug_execution(workflow_uuid, execution_uuid)
return self.success(data=result)
except ValueError as e:
return self.http_status(404, -1, str(e))
# Debug API - Stop execution
@self.route(
'/<workflow_uuid>/debug/<execution_uuid>/stop',
methods=['POST'],
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
)
async def _(workflow_uuid: str, execution_uuid: str) -> str:
try:
await self.ap.workflow_service.stop_debug_execution(workflow_uuid, execution_uuid)
return self.success()
except ValueError as e:
return self.http_status(404, -1, str(e))
# Debug API - Get debug state
@self.route(
'/<workflow_uuid>/debug/<execution_uuid>/state',
methods=['GET'],
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
)
async def _(workflow_uuid: str, execution_uuid: str) -> str:
try:
state = await self.ap.workflow_service.get_debug_state(workflow_uuid, execution_uuid)
return self.success(data=state)
except ValueError as e:
return self.http_status(404, -1, str(e))
# Get execution logs
@self.route(
'/<workflow_uuid>/executions/<execution_uuid>/logs',
methods=['GET'],
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
)
async def _(workflow_uuid: str, execution_uuid: str) -> str:
limit = int(quart.request.args.get('limit', 100))
offset = int(quart.request.args.get('offset', 0))
try:
result = await self.ap.workflow_service.get_execution_logs(workflow_uuid, execution_uuid, limit, offset)
return self.success(data=result)
except ValueError as e:
return self.http_status(404, -1, str(e))
# Rerun execution
@self.route(
'/<workflow_uuid>/executions/<execution_uuid>/rerun',
methods=['POST'],
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
)
async def _(workflow_uuid: str, execution_uuid: str) -> str:
try:
new_execution_id = await self.ap.workflow_service.rerun_execution(workflow_uuid, execution_uuid)
return self.success(data={'execution_uuid': new_execution_id})
except ValueError as e:
return self.http_status(404, -1, str(e))
# Get workflow statistics
@self.route('/<workflow_uuid>/stats', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(workflow_uuid: str) -> str:
try:
stats = await self.ap.workflow_service.get_workflow_stats(workflow_uuid)
return self.success(data=stats)
except ValueError as e:
return self.http_status(404, -1, str(e))
# LLM Node Performance Test Endpoint
# Tests each step of LLM node execution with detailed timing
@self.route('/_/test/llm-node', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:
"""Test LLM node performance with detailed step-by-step timing.
Request body:
{
"model_uuid": "uuid-of-model",
"system_prompt": "optional system prompt",
"user_prompt": "test message",
"temperature": 0.7,
"max_tokens": 100
}
Response includes timing for each step:
- model_fetch: Time to get model from model_mgr
- prompt_build: Time to build messages
- llm_call: Time for actual LLM invocation
- total: Total time
- usage: Token usage information
"""
import time
json_data = await quart.request.json
if not json_data:
return self.http_status(400, -1, 'Request body is required')
model_uuid = json_data.get('model_uuid', '')
if not model_uuid:
return self.http_status(400, -1, 'model_uuid is required')
user_prompt = json_data.get('user_prompt', 'test')
system_prompt = json_data.get('system_prompt', '')
temperature = json_data.get('temperature')
max_tokens = json_data.get('max_tokens', 0)
timings = {}
errors = []
# Step 1: Model fetch
t_start = time.perf_counter()
try:
runtime_model = await self.ap.model_mgr.get_model_by_uuid(model_uuid)
timings['model_fetch_ms'] = round((time.perf_counter() - t_start) * 1000, 2)
timings['model_found'] = True
timings['model_name'] = runtime_model.model_entity.name if runtime_model else None
except Exception as e:
timings['model_fetch_ms'] = round((time.perf_counter() - t_start) * 1000, 2)
timings['model_found'] = False
errors.append(f'Model fetch failed: {str(e)}')
return self.http_status(400, -1, {
'error': errors[0],
'timings': timings,
})
# Step 2: Build messages
t_start = time.perf_counter()
import langbot_plugin.api.entities.builtin.provider.message as provider_message
messages = []
if system_prompt:
messages.append(provider_message.Message(role='system', content=system_prompt))
messages.append(provider_message.Message(role='user', content=user_prompt))
timings['prompt_build_ms'] = round((time.perf_counter() - t_start) * 1000, 2)
# Step 3: Build extra args
extra_args = {}
if temperature is not None:
extra_args['temperature'] = float(temperature)
if max_tokens and int(max_tokens) > 0:
extra_args['max_tokens'] = int(max_tokens)
# Step 4: LLM call
t_start = time.perf_counter()
try:
result_message = await runtime_model.provider.invoke_llm(
query=None,
model=runtime_model,
messages=messages,
funcs=None,
extra_args=extra_args,
)
timings['llm_call_ms'] = round((time.perf_counter() - t_start) * 1000, 2)
timings['llm_call_success'] = True
# Extract response text
response_text = ''
if isinstance(result_message.content, str):
response_text = result_message.content
elif isinstance(result_message.content, list):
for elem in result_message.content:
if hasattr(elem, 'text') and elem.text:
response_text += elem.text
elif isinstance(elem, str):
response_text += elem
timings['response_length'] = len(response_text)
timings['response_preview'] = response_text[:200]
# Extract usage
usage = {'prompt_tokens': 0, 'completion_tokens': 0, 'total_tokens': 0}
if hasattr(result_message, 'usage') and result_message.usage:
u = result_message.usage
usage = {
'prompt_tokens': getattr(u, 'prompt_tokens', 0) or 0,
'completion_tokens': getattr(u, 'completion_tokens', 0) or 0,
'total_tokens': getattr(u, 'total_tokens', 0) or 0,
}
timings['usage'] = usage
except Exception as e:
timings['llm_call_ms'] = round((time.perf_counter() - t_start) * 1000, 2)
timings['llm_call_success'] = False
errors.append(f'LLM call failed: {str(e)}')
# Calculate total
timings['total_ms'] = round(sum([
timings.get('model_fetch_ms', 0),
timings.get('prompt_build_ms', 0),
timings.get('llm_call_ms', 0),
]), 2)
# Add breakdown percentage
if timings['total_ms'] > 0:
timings['breakdown'] = {
'model_fetch_pct': round(timings.get('model_fetch_ms', 0) / timings['total_ms'] * 100, 1),
'prompt_build_pct': round(timings.get('prompt_build_ms', 0) / timings['total_ms'] * 100, 1),
'llm_call_pct': round(timings.get('llm_call_ms', 0) / timings['total_ms'] * 100, 1),
}
if errors:
timings['errors'] = errors
return self.success(data={'test_result': timings})
@group.group_class('executions', '/api/v1/executions')
class ExecutionsRouterGroup(group.RouterGroup):
"""Workflow execution API router group"""
async def initialize(self) -> None:
# Get all executions (across all workflows)
@self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:
limit = int(quart.request.args.get('limit', 50))
offset = int(quart.request.args.get('offset', 0))
status = quart.request.args.get('status')
executions = await self.ap.workflow_service.get_executions(limit=limit, offset=offset, status=status)
return self.success(data=executions)
# Get single execution
@self.route('/<execution_uuid>', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(execution_uuid: str) -> str:
execution = await self.ap.workflow_service.get_execution(execution_uuid)
if execution is None:
return self.http_status(404, -1, 'execution not found')
return self.success(data={'execution': execution})
# Cancel execution
@self.route('/<execution_uuid>/cancel', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(execution_uuid: str) -> str:
try:
await self.ap.workflow_service.cancel_execution(execution_uuid)
return self.success()
except ValueError as e:
return self.http_status(404, -1, str(e))
except RuntimeError as e:
return self.http_status(400, -1, str(e))

View File

@@ -17,7 +17,6 @@ from .groups import platform as groups_platform
from .groups import pipelines as groups_pipelines
from .groups import knowledge as groups_knowledge
from .groups import resources as groups_resources
from .groups import workflows as groups_workflows
importutil.import_modules_in_pkg(groups)
importutil.import_modules_in_pkg(groups_provider)
@@ -25,7 +24,6 @@ importutil.import_modules_in_pkg(groups_platform)
importutil.import_modules_in_pkg(groups_pipelines)
importutil.import_modules_in_pkg(groups_knowledge)
importutil.import_modules_in_pkg(groups_resources)
importutil.import_modules_in_pkg(groups_workflows)
class HTTPController:

View File

@@ -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)
)

View File

@@ -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)
if persistence_bot['adapter'] in [
'wecom',
'wecombot',
'officialaccount',
'qqofficial',
'slack',
'wecomcs',
'LINE',
'lark',
]:
# Webhook URL for adapters that declare a generated webhook config item.
# This is manifest-driven so EBA adapters do not need to be mirrored in a
# second hard-coded list.
if self._adapter_declares_webhook_url(persistence_bot['adapter']):
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 +111,7 @@ class BotService:
# TODO: 检查配置信息格式
bot_data['uuid'] = str(uuid.uuid4())
# Set default binding_type if not provided
if 'binding_type' not in bot_data:
bot_data['binding_type'] = 'pipeline'
# checkout the default pipeline (for backward compatibility)
# checkout the default pipeline
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
persistence_pipeline.LegacyPipeline.is_default == True
@@ -113,9 +121,6 @@ class BotService:
if pipeline is not None:
bot_data['use_pipeline_uuid'] = pipeline.uuid
bot_data['use_pipeline_name'] = pipeline.name
# Also set binding_uuid for new unified binding model
if 'binding_uuid' not in bot_data:
bot_data['binding_uuid'] = pipeline.uuid
await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_bot.Bot).values(bot_data))
@@ -130,13 +135,8 @@ class BotService:
if 'uuid' in bot_data:
del bot_data['uuid']
# Handle binding_type and binding_uuid for the new unified binding model
# If binding_type is explicitly set to 'workflow', skip pipeline validation
binding_type = bot_data.get('binding_type')
# set use_pipeline_name (for backward compatibility with 'pipeline' binding_type)
# Only validate pipeline when binding_type is 'pipeline' or not set (default to pipeline)
if 'use_pipeline_uuid' in bot_data and binding_type != 'workflow':
# set use_pipeline_name
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 == bot_data['use_pipeline_uuid']
@@ -145,23 +145,8 @@ class BotService:
pipeline = result.first()
if pipeline is not None:
bot_data['use_pipeline_name'] = pipeline.name
# Also sync to binding_uuid if binding_type is 'pipeline' or not set
if binding_type is None or binding_type == 'pipeline':
bot_data['binding_uuid'] = bot_data['use_pipeline_uuid']
bot_data['binding_type'] = 'pipeline'
else:
# Only raise error if binding_type is explicitly 'pipeline' or not set
if binding_type is None or binding_type == 'pipeline':
raise Exception('Pipeline not found')
# If binding_type is 'workflow', just clear the use_pipeline_uuid
bot_data['use_pipeline_uuid'] = None
bot_data['use_pipeline_name'] = None
# If binding_uuid is set directly (for workflow), sync use_pipeline_uuid for backward compatibility
if 'binding_uuid' in bot_data and binding_type == 'workflow':
# For workflow binding, we don't sync to use_pipeline_uuid
# but we ensure binding_type is correctly set
bot_data['binding_type'] = 'workflow'
raise Exception('Pipeline not found')
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_bot.Bot).values(bot_data).where(persistence_bot.Bot.uuid == bot_uuid)

View File

@@ -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,
retrieval_settings=retrieval_settings,
creation_settings=kb_data.get('creation_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

View File

@@ -73,20 +73,6 @@ class PipelineService:
return self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
async def get_pipeline_by_name(self, pipeline_name: str) -> dict | None:
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
persistence_pipeline.LegacyPipeline.name == pipeline_name
)
)
pipeline = result.first()
if pipeline is None:
return None
return self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
async def create_pipeline(self, pipeline_data: dict, default: bool = False) -> str:
from ....utils import paths as path_utils
@@ -127,9 +113,14 @@ class PipelineService:
return pipeline_data['uuid']
async def update_pipeline(self, pipeline_uuid: str, pipeline_data: dict) -> None:
pipeline_data = pipeline_data.copy()
for protected_field in ('uuid', 'for_version', 'stages', 'is_default'):
pipeline_data.pop(protected_field, None)
if 'uuid' in pipeline_data:
del pipeline_data['uuid']
if 'for_version' in pipeline_data:
del pipeline_data['for_version']
if 'stages' in pipeline_data:
del pipeline_data['stages']
if 'is_default' in pipeline_data:
del pipeline_data['is_default']
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_pipeline.LegacyPipeline)

View File

@@ -17,24 +17,6 @@ class ModelProviderService:
def __init__(self, ap: app.Application) -> None:
self.ap = ap
@staticmethod
def _normalize_api_keys(api_keys: str | list[str] | tuple[str, ...] | None) -> list[str]:
if api_keys is None:
return []
raw_keys = [api_keys] if isinstance(api_keys, str) else list(api_keys)
normalized_keys = []
seen_keys = set()
for raw_key in raw_keys:
normalized_key = raw_key.strip() if isinstance(raw_key, str) else ''
if not normalized_key or normalized_key in seen_keys:
continue
normalized_keys.append(normalized_key)
seen_keys.add(normalized_key)
return normalized_keys
async def get_providers(self) -> list[dict]:
"""Get all providers"""
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.ModelProvider))
@@ -77,7 +59,6 @@ class ModelProviderService:
async def create_provider(self, provider_data: dict) -> str:
"""Create a new provider"""
provider_data['uuid'] = str(uuid.uuid4())
provider_data['api_keys'] = self._normalize_api_keys(provider_data.get('api_keys'))
await self.ap.persistence_mgr.execute_async(
sqlalchemy.insert(persistence_model.ModelProvider).values(**provider_data)
)
@@ -91,8 +72,6 @@ class ModelProviderService:
"""Update an existing provider"""
if 'uuid' in provider_data:
del provider_data['uuid']
if 'api_keys' in provider_data:
provider_data['api_keys'] = self._normalize_api_keys(provider_data.get('api_keys'))
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_model.ModelProvider)
.where(persistence_model.ModelProvider.uuid == provider_uuid)
@@ -162,8 +141,6 @@ class ModelProviderService:
async def find_or_create_provider(self, requester: str, base_url: str, api_keys: list) -> str:
"""Find existing provider or create new one"""
api_keys = self._normalize_api_keys(api_keys)
# Try to find existing provider with same config
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_model.ModelProvider).where(
@@ -191,7 +168,7 @@ class ModelProviderService:
'name': provider_name,
'requester': requester,
'base_url': base_url,
'api_keys': api_keys,
'api_keys': api_keys or [],
}
)
@@ -200,7 +177,7 @@ class ModelProviderService:
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_model.ModelProvider)
.where(persistence_model.ModelProvider.uuid == '00000000-0000-0000-0000-000000000000')
.values(api_keys=self._normalize_api_keys(api_key))
.values(api_keys=[api_key])
)
await self.ap.model_mgr.reload_provider('00000000-0000-0000-0000-000000000000')

File diff suppressed because it is too large Load Diff

View File

@@ -31,7 +31,6 @@ from ..api.http.service import mcp as mcp_service
from ..api.http.service import apikey as apikey_service
from ..api.http.service import webhook as webhook_service
from ..api.http.service import monitoring as monitoring_service
from ..api.http.service import workflow as workflow_service
from ..api.http.service import maintenance as maintenance_service
from ..discover import engine as discover_engine
@@ -151,8 +150,6 @@ class Application:
webhook_service: webhook_service.WebhookService = None
workflow_service: workflow_service.WorkflowService = None
telemetry: telemetry_module.TelemetryManager = None
survey: survey_module.SurveyManager = None
@@ -240,22 +237,6 @@ class Application:
scopes=[core_entities.LifecycleControlScope.APPLICATION],
)
async def workflow_execution_cleanup_loop():
check_interval_seconds = 60
while True:
try:
cancelled = await self.workflow_service.cleanup_stale_executions()
if cancelled > 0:
self.logger.info(f'Workflow execution auto-cleanup: cancelled {cancelled} stale executions')
except Exception as e:
self.logger.warning(f'Workflow execution auto-cleanup error: {e}')
await asyncio.sleep(check_interval_seconds)
self.task_mgr.create_task(
workflow_execution_cleanup_loop(),
name='workflow-execution-cleanup',
scopes=[core_entities.LifecycleControlScope.APPLICATION],
)
# Start storage/log maintenance task if enabled
storage_cleanup_cfg = self.instance_config.data.get('storage', {}).get('cleanup', {})
if storage_cleanup_cfg.get('enabled', True) and self.maintenance_service is not None:

View File

@@ -46,14 +46,12 @@ async def make_app(loop: asyncio.AbstractEventLoop) -> app.Application:
async def main(loop: asyncio.AbstractEventLoop):
app_inst: app.Application | None = None
try:
# Hang system signal processing
import signal
def signal_handler(sig, frame):
if app_inst is not None:
app_inst.dispose()
app_inst.dispose()
print('[Signal] Program exit.')
os._exit(0)

View File

@@ -28,7 +28,6 @@ from ...api.http.service import mcp as mcp_service
from ...api.http.service import apikey as apikey_service
from ...api.http.service import webhook as webhook_service
from ...api.http.service import monitoring as monitoring_service
from ...api.http.service import workflow as workflow_service
from ...api.http.service import maintenance as maintenance_service
from ...discover import engine as discover_engine
from ...storage import mgr as storagemgr
@@ -87,9 +86,6 @@ class BuildAppStage(stage.BootingStage):
webhook_service_inst = webhook_service.WebhookService(ap)
ap.webhook_service = webhook_service_inst
workflow_service_inst = workflow_service.WorkflowService(ap)
ap.workflow_service = workflow_service_inst
proxy_mgr = proxy.ProxyManager(ap)
await proxy_mgr.initialize()
ap.proxy_mgr = proxy_mgr

View File

@@ -221,34 +221,3 @@ class LoadConfigStage(stage.BootingStage):
ap.pipeline_config_meta_safety = await load_resource_yaml_template_data('metadata/pipeline/safety.yaml')
ap.pipeline_config_meta_ai = await load_resource_yaml_template_data('metadata/pipeline/ai.yaml')
ap.pipeline_config_meta_output = await load_resource_yaml_template_data('metadata/pipeline/output.yaml')
# Load workflow node metadata from YAML files. YAML is the source of
# truth for workflow editor metadata; Python classes provide execution
# logic and are bound through the registry.
from langbot.pkg.workflow.metadata import NodeMetadataLoader
from langbot.pkg.workflow.registry import NodeTypeRegistry
workflow_metadata_loader = NodeMetadataLoader()
workflow_node_count = await workflow_metadata_loader.load_core_metadata()
ap.workflow_node_configs = workflow_metadata_loader.get_all_metadata()
ap.workflow_node_metadata_loader = workflow_metadata_loader
workflow_registry = NodeTypeRegistry.instance()
for node_config in ap.workflow_node_configs.values():
workflow_registry.register_metadata(node_config, source=node_config.get('_source', 'core'))
# Auto-discover and register workflow nodes using discovery engine
if hasattr(ap, 'discover') and ap.discover is not None:
workflow_registry.discover_nodes(ap.discover)
workflow_load_errors = workflow_metadata_loader.get_load_errors()
if workflow_load_errors:
print(f'Workflow node metadata load errors: {len(workflow_load_errors)}')
for error in workflow_load_errors:
print(f" - {error.get('file')}: {error.get('error')}")
print(
f'Loaded {workflow_node_count} workflow node metadata files; '
f'registered {workflow_registry.metadata_count()} metadata definitions, '
f'{workflow_registry.count()} node types'
)

View File

@@ -241,12 +241,14 @@ class ComponentDiscoveryEngine:
return
for file in importutil.list_resource_files(path):
if (not os.path.isdir(os.path.join(path, file))) and (file.endswith('.yaml') or file.endswith('.yml')):
comp = self.load_component_manifest(os.path.join(path, file), owner, no_save)
file_path = os.path.join(path, file)
is_dir = importutil.is_resource_dir(file_path)
if (not is_dir) and (file.endswith('.yaml') or file.endswith('.yml')):
comp = self.load_component_manifest(file_path, owner, no_save)
if comp is not None:
components.append(comp)
elif os.path.isdir(os.path.join(path, file)):
recursive_load_component_manifests_in_dir(os.path.join(path, file), depth + 1)
elif is_dir:
recursive_load_component_manifests_in_dir(file_path, depth + 1)
recursive_load_component_manifests_in_dir(path)
return components
@@ -304,65 +306,3 @@ class ComponentDiscoveryEngine:
if component.kind == kind:
result.append(component)
return result
def discover_workflow_nodes(self, nodes_dir: str) -> typing.List[typing.Type]:
"""Discover workflow node classes from a directory of Python modules.
Scans all .py files in the given directory, imports them, and collects
classes that are subclasses of WorkflowNode.
Args:
nodes_dir: Directory path like 'pkg/workflow/nodes/'
Returns:
List of WorkflowNode subclasses found
"""
from langbot.pkg.workflow.node import WorkflowNode
node_classes: typing.List[typing.Type[WorkflowNode]] = []
# Normalize path
if nodes_dir.endswith('/'):
nodes_dir = nodes_dir[:-1]
# Import the nodes package to trigger all module imports
module_path = nodes_dir.replace('/', '.').replace('\\', '.')
package_path = module_path
try:
# Import the package __init__ to trigger submodule imports
importlib.import_module(f'langbot.{package_path}')
except ImportError:
self.ap.logger.warning(f'Failed to import workflow nodes package: langbot.{package_path}')
# Since workflow/__init__.py is empty, explicitly import all .py files in the nodes directory
import os
# engine.py is in langbot/pkg/discover/, nodes are in langbot/pkg/workflow/nodes/
nodes_abs_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'workflow', 'nodes'))
if os.path.isdir(nodes_abs_path):
for filename in os.listdir(nodes_abs_path):
if filename.endswith('.py') and not filename.startswith('_'):
module_name = filename[:-3]
try:
importlib.import_module(f'langbot.{package_path}.{module_name}')
except ImportError as e:
self.ap.logger.warning(f'Failed to import workflow node module: {module_name}: {e}')
# Now collect all WorkflowNode subclasses from sys.modules
import sys
prefix = f'langbot.{package_path}.'
for mod_name, mod in sys.modules.items():
if mod_name.startswith(prefix) and mod is not None:
for attr_name in dir(mod):
attr = getattr(mod, attr_name)
if (
isinstance(attr, type)
and issubclass(attr, WorkflowNode)
and attr is not WorkflowNode
and hasattr(attr, 'type_name')
and attr.type_name
):
if attr not in node_classes:
node_classes.append(attr)
return node_classes

View File

@@ -17,13 +17,6 @@ class Bot(Base):
use_pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
use_pipeline_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
pipeline_routing_rules = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, server_default='[]')
# New unified binding fields
# binding_type: 'pipeline' or 'workflow'
binding_type = sqlalchemy.Column(sqlalchemy.String(32), nullable=False, server_default='pipeline')
# binding_uuid: UUID of the bound Pipeline or Workflow
binding_uuid = sqlalchemy.Column(sqlalchemy.String(64), nullable=True)
created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
updated_at = sqlalchemy.Column(
sqlalchemy.DateTime,

View File

@@ -1,126 +0,0 @@
"""Workflow persistence entities"""
import sqlalchemy
from .base import Base
class Workflow(Base):
"""Workflow definition"""
__tablename__ = 'workflows'
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
description = sqlalchemy.Column(sqlalchemy.Text, nullable=True)
emoji = sqlalchemy.Column(sqlalchemy.String(10), nullable=True, default='🔄')
version = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=1)
is_enabled = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=True)
# Workflow definition stored as JSON
# Contains: nodes, edges, variables, settings
definition = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
# Global config (inherited from Pipeline capabilities)
# Contains: safety, output configs
global_config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
# Extensions preferences (same as Pipeline)
extensions_preferences = sqlalchemy.Column(
sqlalchemy.JSON,
nullable=False,
default={'enable_all_plugins': True, 'enable_all_mcp_servers': True, 'plugins': [], 'mcp_servers': []},
)
created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
updated_at = sqlalchemy.Column(
sqlalchemy.DateTime,
nullable=False,
server_default=sqlalchemy.func.now(),
onupdate=sqlalchemy.func.now(),
)
class WorkflowVersion(Base):
"""Workflow version history"""
__tablename__ = 'workflow_versions'
id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True, autoincrement=True)
workflow_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
version = sqlalchemy.Column(sqlalchemy.Integer, nullable=False)
definition = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
global_config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
created_by = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
__table_args__ = (sqlalchemy.UniqueConstraint('workflow_uuid', 'version', name='uq_workflow_version'),)
class WorkflowTrigger(Base):
"""Workflow trigger configuration"""
__tablename__ = 'workflow_triggers'
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
workflow_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
type = sqlalchemy.Column(sqlalchemy.String(50), nullable=False) # message, cron, event, webhook
config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
is_enabled = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=True)
priority = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=0)
created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
updated_at = sqlalchemy.Column(
sqlalchemy.DateTime,
nullable=False,
server_default=sqlalchemy.func.now(),
onupdate=sqlalchemy.func.now(),
)
class WorkflowExecution(Base):
"""Workflow execution record"""
__tablename__ = 'workflow_executions'
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
workflow_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
workflow_version = sqlalchemy.Column(sqlalchemy.Integer, nullable=False)
status = sqlalchemy.Column(sqlalchemy.String(20), nullable=False) # pending, running, completed, failed, cancelled
trigger_type = sqlalchemy.Column(sqlalchemy.String(50), nullable=True)
trigger_data = sqlalchemy.Column(sqlalchemy.JSON, nullable=True)
variables = sqlalchemy.Column(sqlalchemy.JSON, nullable=True)
start_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True)
end_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True)
error = sqlalchemy.Column(sqlalchemy.Text, nullable=True)
created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
class WorkflowNodeExecution(Base):
"""Workflow node execution record"""
__tablename__ = 'workflow_node_executions'
id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True, autoincrement=True)
execution_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
node_id = sqlalchemy.Column(sqlalchemy.String(100), nullable=False)
node_type = sqlalchemy.Column(sqlalchemy.String(50), nullable=False)
status = sqlalchemy.Column(sqlalchemy.String(20), nullable=False) # pending, running, completed, failed, skipped
inputs = sqlalchemy.Column(sqlalchemy.JSON, nullable=True)
outputs = sqlalchemy.Column(sqlalchemy.JSON, nullable=True)
start_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True)
end_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True)
error = sqlalchemy.Column(sqlalchemy.Text, nullable=True)
retry_count = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=0)
class ScheduledJob(Base):
"""Scheduled job for cron triggers"""
__tablename__ = 'workflow_scheduled_jobs'
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
trigger_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
cron_expression = sqlalchemy.Column(sqlalchemy.String(100), nullable=True)
next_run_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True)
last_run_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True)
is_enabled = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=True)

View File

@@ -1,158 +0,0 @@
"""Add workflow tables and update bot binding fields"""
import sqlalchemy
from .. import migration
@migration.migration_class(26)
class DBMigrateWorkflowTables(migration.DBMigration):
"""Add workflow tables and update bot binding fields"""
async def upgrade(self):
# Create workflows table
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text("""
CREATE TABLE IF NOT EXISTS workflows (
uuid VARCHAR(255) PRIMARY KEY,
name VARCHAR(255) NOT NULL,
description TEXT,
emoji VARCHAR(10) DEFAULT '🔄',
version INTEGER NOT NULL DEFAULT 1,
is_enabled BOOLEAN NOT NULL DEFAULT 1,
definition JSON NOT NULL DEFAULT '{}',
global_config JSON NOT NULL DEFAULT '{}',
extensions_preferences JSON NOT NULL DEFAULT '{"enable_all_plugins": true, "enable_all_mcp_servers": true, "plugins": [], "mcp_servers": []}',
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
)
# Create workflow_versions table
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text("""
CREATE TABLE IF NOT EXISTS workflow_versions (
id INTEGER PRIMARY KEY AUTOINCREMENT,
workflow_uuid VARCHAR(255) NOT NULL,
version INTEGER NOT NULL,
definition JSON NOT NULL,
global_config JSON NOT NULL DEFAULT '{}',
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
created_by VARCHAR(255),
UNIQUE(workflow_uuid, version)
)
""")
)
# Create workflow_triggers table
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text("""
CREATE TABLE IF NOT EXISTS workflow_triggers (
uuid VARCHAR(255) PRIMARY KEY,
workflow_uuid VARCHAR(255) NOT NULL,
type VARCHAR(50) NOT NULL,
config JSON NOT NULL DEFAULT '{}',
is_enabled BOOLEAN NOT NULL DEFAULT 1,
priority INTEGER NOT NULL DEFAULT 0,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
)
# Create workflow_executions table
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text("""
CREATE TABLE IF NOT EXISTS workflow_executions (
uuid VARCHAR(255) PRIMARY KEY,
workflow_uuid VARCHAR(255) NOT NULL,
workflow_version INTEGER NOT NULL,
status VARCHAR(20) NOT NULL,
trigger_type VARCHAR(50),
trigger_data JSON,
variables JSON,
start_time TIMESTAMP,
end_time TIMESTAMP,
error TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
)
# Create workflow_node_executions table
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text("""
CREATE TABLE IF NOT EXISTS workflow_node_executions (
id INTEGER PRIMARY KEY AUTOINCREMENT,
execution_uuid VARCHAR(255) NOT NULL,
node_id VARCHAR(100) NOT NULL,
node_type VARCHAR(50) NOT NULL,
status VARCHAR(20) NOT NULL,
inputs JSON,
outputs JSON,
start_time TIMESTAMP,
end_time TIMESTAMP,
error TEXT,
retry_count INTEGER NOT NULL DEFAULT 0
)
""")
)
# Create workflow_scheduled_jobs table
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text("""
CREATE TABLE IF NOT EXISTS workflow_scheduled_jobs (
uuid VARCHAR(255) PRIMARY KEY,
trigger_uuid VARCHAR(255) NOT NULL,
cron_expression VARCHAR(100),
next_run_time TIMESTAMP,
last_run_time TIMESTAMP,
is_enabled BOOLEAN NOT NULL DEFAULT 1
)
""")
)
# Create indexes
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text('CREATE INDEX IF NOT EXISTS idx_workflow_versions_uuid ON workflow_versions(workflow_uuid)')
)
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text('CREATE INDEX IF NOT EXISTS idx_workflow_triggers_uuid ON workflow_triggers(workflow_uuid)')
)
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text(
'CREATE INDEX IF NOT EXISTS idx_workflow_executions_uuid ON workflow_executions(workflow_uuid)'
)
)
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text(
'CREATE INDEX IF NOT EXISTS idx_workflow_node_executions_uuid ON workflow_node_executions(execution_uuid)'
)
)
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text(
'CREATE INDEX IF NOT EXISTS idx_workflow_scheduled_jobs_trigger ON workflow_scheduled_jobs(trigger_uuid)'
)
)
# Update bots table: add binding_type column (default to 'pipeline' for backward compatibility)
# Check if column exists first (SQLite doesn't support IF NOT EXISTS for columns)
try:
await self.ap.persistence_mgr.execute_async(sqlalchemy.text('SELECT binding_type FROM bots LIMIT 1'))
except Exception:
# Column doesn't exist, add it
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text("ALTER TABLE bots ADD COLUMN binding_type VARCHAR(20) NOT NULL DEFAULT 'pipeline'")
)
async def downgrade(self):
# Drop tables in reverse order
await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE IF EXISTS workflow_scheduled_jobs'))
await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE IF EXISTS workflow_node_executions'))
await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE IF EXISTS workflow_executions'))
await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE IF EXISTS workflow_triggers'))
await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE IF EXISTS workflow_versions'))
await self.ap.persistence_mgr.execute_async(sqlalchemy.text('DROP TABLE IF EXISTS workflows'))
# Remove binding_type column from bots (SQLite doesn't support DROP COLUMN directly)
# This would need a table recreation in SQLite, so we'll skip it in downgrade

View File

@@ -1,49 +0,0 @@
"""Add binding_uuid field to bots table and migrate data"""
import sqlalchemy
from .. import migration
@migration.migration_class(27)
class DBMigrateBotBindingFields(migration.DBMigration):
"""Add binding_uuid field to bots table and migrate existing data"""
async def upgrade(self):
# Add binding_uuid column to bots table
# Check if column exists first (SQLite doesn't support IF NOT EXISTS for columns)
try:
await self.ap.persistence_mgr.execute_async(sqlalchemy.text('SELECT binding_uuid FROM bots LIMIT 1'))
except Exception:
# Column doesn't exist, add it
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text('ALTER TABLE bots ADD COLUMN binding_uuid VARCHAR(64)')
)
# Migrate existing data: copy use_pipeline_uuid to binding_uuid for records
# that have a pipeline bound and binding_uuid is not set yet
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text("""
UPDATE bots
SET binding_uuid = use_pipeline_uuid
WHERE use_pipeline_uuid IS NOT NULL
AND use_pipeline_uuid != ''
AND (binding_uuid IS NULL OR binding_uuid = '')
""")
)
# Ensure binding_type is 'pipeline' for records that were migrated
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text("""
UPDATE bots
SET binding_type = 'pipeline'
WHERE binding_uuid IS NOT NULL
AND binding_uuid != ''
AND (binding_type IS NULL OR binding_type = '')
""")
)
async def downgrade(self):
# SQLite doesn't support DROP COLUMN directly
# This would need a table recreation in SQLite, so we'll skip it in downgrade
# The column will remain but won't be used
pass

View File

@@ -275,7 +275,6 @@ class MessageAggregator:
message_chain=merged_chain,
adapter=base_msg.adapter,
pipeline_uuid=base_msg.pipeline_uuid,
routed_by_rule=any(msg.routed_by_rule for msg in messages),
)
async def flush_all(self) -> None:

View File

@@ -76,10 +76,6 @@ class LongTextProcessStage(stage.PipelineStage):
self.ap.logger.debug('Long message processing strategy is not set, skip long message processing.')
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
if not query.resp_message_chain:
self.ap.logger.debug('Response message chain is empty, skip long message processing.')
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
# 检查是否包含非 Plain 组件
contains_non_plain = False

View File

@@ -13,7 +13,7 @@ import langbot_plugin.api.entities.builtin.platform.message as platform_message
import langbot_plugin.api.entities.builtin.platform.events as platform_events
import langbot_plugin.api.entities.events as events
from ..utils import importutil
from .config import coerce_pipeline_config
from .config_coercion import coerce_pipeline_config
import langbot_plugin.api.entities.builtin.provider.session as provider_session
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
@@ -284,9 +284,9 @@ class RuntimePipeline:
# Record query start and store message_id
message_id = ''
try:
from . import monitor
from . import monitoring_helper
message_id = await monitor.MonitoringHelper.record_query_start(
message_id = await monitoring_helper.MonitoringHelper.record_query_start(
ap=self.ap,
query=query,
bot_id=query.bot_uuid or 'unknown',
@@ -338,7 +338,7 @@ class RuntimePipeline:
# Record query success only if no error occurred during processing
if not query.variables.get('_monitoring_has_error', False):
try:
await monitor.MonitoringHelper.record_query_success(
await monitoring_helper.MonitoringHelper.record_query_success(
ap=self.ap,
message_id=message_id,
query=query,
@@ -348,7 +348,7 @@ class RuntimePipeline:
# Record bot response message
try:
await monitor.MonitoringHelper.record_query_response(
await monitoring_helper.MonitoringHelper.record_query_response(
ap=self.ap,
query=query,
bot_id=query.bot_uuid or 'unknown',
@@ -367,9 +367,9 @@ class RuntimePipeline:
# Record query error
try:
from . import monitor
from . import monitoring_helper
await monitor.MonitoringHelper.record_query_error(
await monitoring_helper.MonitoringHelper.record_query_error(
ap=self.ap,
query=query,
bot_id=query.bot_uuid or 'unknown',
@@ -384,8 +384,7 @@ class RuntimePipeline:
finally:
self.ap.logger.debug(f'Query {query.query_id} processed')
# Use pop with default to avoid KeyError if query was never cached
self.ap.query_pool.cached_queries.pop(query.query_id, None)
del self.ap.query_pool.cached_queries[query.query_id]
class PipelineManager:

View File

@@ -63,7 +63,6 @@ class QueryPool:
self.cached_queries[query_id] = query
self.query_id_counter += 1
self.condition.notify_all()
return query
async def __aenter__(self):
await self.pool_lock.acquire()

View File

@@ -163,13 +163,21 @@ class PreProcessor(stage.PipelineStage):
plain_text = ''
quote_msg = query.pipeline_config['trigger'].get('misc', '').get('combine-quote-message')
local_agent_without_vision = (
selected_runner == 'local-agent'
and llm_model
and not llm_model.model_entity.abilities.__contains__('vision')
)
for me in query.message_chain:
if isinstance(me, platform_message.Plain):
content_list.append(provider_message.ContentElement.from_text(me.text))
plain_text += me.text
elif isinstance(me, platform_message.Image):
if selected_runner != 'local-agent' or (
if local_agent_without_vision:
content_list.append(provider_message.ContentElement.from_text('[Image]'))
plain_text += '[Image]'
elif selected_runner != 'local-agent' or (
llm_model and llm_model.model_entity.abilities.__contains__('vision')
):
if me.base64 is not None:
@@ -190,7 +198,10 @@ class PreProcessor(stage.PipelineStage):
if isinstance(msg, platform_message.Plain):
content_list.append(provider_message.ContentElement.from_text(msg.text))
elif isinstance(msg, platform_message.Image):
if selected_runner != 'local-agent' or (
if local_agent_without_vision:
content_list.append(provider_message.ContentElement.from_text('[Image]'))
plain_text += '[Image]'
elif selected_runner != 'local-agent' or (
llm_model and llm_model.model_entity.abilities.__contains__('vision')
):
if msg.base64 is not None:

View File

@@ -0,0 +1,5 @@
from __future__ import annotations
from langbot.pkg.platform.adapters.aiocqhttp.adapter import AiocqhttpAdapter
__all__ = ['AiocqhttpAdapter']

View File

@@ -0,0 +1,172 @@
from __future__ import annotations
import asyncio
import traceback
import typing
import aiocqhttp
import pydantic
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
from langbot.pkg.platform.adapters.aiocqhttp.api_impl import AiocqhttpAPIMixin
from langbot.pkg.platform.adapters.aiocqhttp.event_converter import AiocqhttpEventConverter
from langbot.pkg.platform.adapters.aiocqhttp.message_converter import AiocqhttpMessageConverter
from langbot.pkg.platform.adapters.aiocqhttp.platform_api import PLATFORM_API_MAP
from langbot_plugin.api.entities.builtin.platform import events as platform_events
from langbot_plugin.api.entities.builtin.platform.errors import NotSupportedError
class AiocqhttpAdapter(AiocqhttpAPIMixin, abstract_platform_adapter.AbstractPlatformAdapter):
bot: aiocqhttp.CQHttp = pydantic.Field(exclude=True)
message_converter: AiocqhttpMessageConverter = AiocqhttpMessageConverter()
event_converter: AiocqhttpEventConverter = AiocqhttpEventConverter()
config: dict
listeners: dict[
typing.Type[platform_events.Event],
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
] = {}
class Config:
arbitrary_types_allowed = True
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
run_config = dict(config)
async def shutdown_trigger_placeholder():
while True:
await asyncio.sleep(1)
run_config['shutdown_trigger'] = shutdown_trigger_placeholder
access_token = run_config.pop('access-token', '') or None
bot = aiocqhttp.CQHttp(access_token=access_token)
super().__init__(
config=run_config,
logger=logger,
bot=bot,
bot_account_id='',
listeners={},
)
self._register_native_handlers()
def get_supported_events(self) -> list[str]:
return [
'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',
]
def get_supported_apis(self) -> list[str]:
return [
'send_message',
'reply_message',
'delete_message',
'forward_message',
'get_message',
'get_group_info',
'get_group_list',
'get_group_member_list',
'get_group_member_info',
'set_group_name',
'get_user_info',
'get_friend_list',
'approve_friend_request',
'approve_group_invite',
'mute_member',
'unmute_member',
'kick_member',
'leave_group',
'call_platform_api',
]
async def call_platform_api(self, action: str, params: dict = {}) -> dict:
handler = PLATFORM_API_MAP.get(action)
if handler is None:
raise NotSupportedError(f'call_platform_api:{action}')
return await handler(self.bot, params)
def register_listener(
self,
event_type: typing.Type[platform_events.Event],
callback: typing.Callable[
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
],
):
self.listeners[event_type] = callback
def unregister_listener(
self,
event_type: typing.Type[platform_events.Event],
callback: typing.Callable[
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
],
):
registered = self.listeners.get(event_type)
if registered is callback:
self.listeners.pop(event_type, None)
async def run_async(self):
await self.bot._server_app.run_task(**self.config)
async def kill(self) -> bool:
return False
def _register_native_handlers(self):
@self.bot.on_message()
async def on_message(event: aiocqhttp.Event):
await self._handle_native_event(event)
@self.bot.on_notice()
async def on_notice(event: aiocqhttp.Event):
await self._handle_native_event(event)
@self.bot.on_request()
async def on_request(event: aiocqhttp.Event):
await self._handle_native_event(event)
@self.bot.on_websocket_connection
async def on_websocket_connection(event: aiocqhttp.Event):
self.bot_account_id = str(getattr(event, 'self_id', '') or self.bot_account_id)
await self.logger.info(f'WebSocket connection established, bot id: {self.bot_account_id}')
await self._dispatch_native_event(event)
async def _handle_native_event(self, event: aiocqhttp.Event):
self.bot_account_id = str(getattr(event, 'self_id', '') or self.bot_account_id)
if getattr(event, 'type', None) == 'message' and str(getattr(event, 'user_id', '')) == self.bot_account_id:
return
try:
if getattr(event, 'type', None) == 'message' and (
platform_events.FriendMessage in self.listeners or platform_events.GroupMessage in self.listeners
):
legacy_event = await self.event_converter.target2legacy(event, self.bot)
if legacy_event:
callback = self.listeners.get(type(legacy_event))
if callback:
await callback(legacy_event, self)
await self._dispatch_native_event(event)
except Exception:
await self.logger.error(f'Error in aiocqhttp native event: {traceback.format_exc()}')
async def _dispatch_native_event(self, event: aiocqhttp.Event):
eba_event = await self.event_converter.target2yiri(event, self.bot, self.bot_account_id)
if eba_event:
await self._dispatch_eba_event(eba_event)
async def _dispatch_eba_event(self, event: platform_events.EBAEvent):
for event_type in (type(event), platform_events.EBAEvent, platform_events.Event):
callback = self.listeners.get(event_type)
if callback:
await callback(event, self)
return

View File

@@ -0,0 +1,238 @@
from __future__ import annotations
import typing
import aiocqhttp
from langbot.pkg.platform.adapters.aiocqhttp.event_converter import AiocqhttpEventConverter
from langbot.pkg.platform.adapters.aiocqhttp.message_converter import AiocqhttpMessageConverter
from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
from langbot_plugin.api.entities.builtin.platform import events as platform_events
from langbot_plugin.api.entities.builtin.platform import message as platform_message
from langbot_plugin.api.entities.builtin.platform.errors import NotSupportedError
class AiocqhttpAPIMixin:
bot: aiocqhttp.CQHttp
async def send_message(
self,
target_type: str,
target_id: str,
message: platform_message.MessageChain,
) -> platform_events.MessageResult:
forward = message.get_first(platform_message.Forward)
if forward and target_type == 'group':
raw = await self._send_forward_message(int(target_id), typing.cast(platform_message.Forward, forward))
return platform_events.MessageResult(message_id=raw.get('message_id'), raw=raw)
aiocq_msg, _, _ = await AiocqhttpMessageConverter.yiri2target(message)
if target_type == 'group':
raw = await self.bot.send_group_msg(group_id=int(target_id), message=aiocq_msg)
elif target_type in ('person', 'private'):
raw = await self.bot.send_private_msg(user_id=int(target_id), message=aiocq_msg)
else:
raise ValueError(f'Unsupported aiocqhttp target_type: {target_type}')
return platform_events.MessageResult(message_id=(raw or {}).get('message_id'), raw=raw or {})
async def reply_message(
self,
message_source: platform_events.MessageEvent,
message: platform_message.MessageChain,
quote_origin: bool = False,
) -> platform_events.MessageResult:
assert isinstance(message_source.source_platform_object, aiocqhttp.Event)
aiocq_msg, _, _ = await AiocqhttpMessageConverter.yiri2target(message)
if quote_origin:
source_id = getattr(message_source, 'message_id', None) or message_source.message_chain.message_id
aiocq_msg = aiocqhttp.MessageSegment.reply(source_id) + aiocq_msg
raw = await self.bot.send(message_source.source_platform_object, aiocq_msg)
return platform_events.MessageResult(message_id=(raw or {}).get('message_id'), raw=raw or {})
async def delete_message(
self,
chat_type: str,
chat_id: typing.Union[int, str],
message_id: typing.Union[int, str],
) -> None:
await self.bot.delete_msg(message_id=int(message_id))
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],
) -> platform_events.MessageResult:
raw_message = await self.bot.get_msg(message_id=int(message_id))
target_message = aiocqhttp.Message(raw_message.get('message', []))
if to_chat_type == 'group':
raw = await self.bot.send_group_msg(group_id=int(to_chat_id), message=target_message)
elif to_chat_type in ('person', 'private'):
raw = await self.bot.send_private_msg(user_id=int(to_chat_id), message=target_message)
else:
raise ValueError(f'Unsupported aiocqhttp to_chat_type: {to_chat_type}')
return platform_events.MessageResult(message_id=(raw or {}).get('message_id'), raw=raw or {})
async def get_message(
self,
chat_type: str,
chat_id: typing.Union[int, str],
message_id: typing.Union[int, str],
) -> platform_events.MessageReceivedEvent:
raw = await self.bot.get_msg(message_id=int(message_id))
message_type = raw.get('message_type') or chat_type
event = aiocqhttp.Event.from_payload(
{
'post_type': 'message',
'message_type': 'group' if message_type == 'group' else 'private',
'sub_type': raw.get('sub_type', 'normal'),
'time': raw.get('time', 0),
'self_id': self.bot_account_id or 0,
'message_id': raw.get('message_id', message_id),
'user_id': raw.get('sender', {}).get('user_id') or raw.get('user_id') or chat_id,
'group_id': raw.get('group_id') or (chat_id if message_type == 'group' else None),
'message': raw.get('message', []),
'raw_message': raw.get('raw_message', ''),
'sender': raw.get('sender', {}),
}
)
return await AiocqhttpEventConverter.message_to_eba(event, self.bot)
async def get_group_info(self, group_id: typing.Union[int, str]) -> platform_entities.UserGroup:
raw = await self.bot.get_group_info(group_id=int(group_id))
return platform_entities.UserGroup(
id=raw.get('group_id', group_id),
name=raw.get('group_name', ''),
member_count=raw.get('member_count'),
)
async def get_group_list(self) -> list[platform_entities.UserGroup]:
raw_list = await self.bot.get_group_list()
return [
platform_entities.UserGroup(
id=item.get('group_id', ''),
name=item.get('group_name', ''),
member_count=item.get('member_count'),
)
for item in raw_list
]
async def get_group_member_list(
self,
group_id: typing.Union[int, str],
) -> list[platform_entities.UserGroupMember]:
raw_list = await self.bot.get_group_member_list(group_id=int(group_id))
return [self._member_to_entity(item, group_id) for item in raw_list]
async def get_group_member_info(
self,
group_id: typing.Union[int, str],
user_id: typing.Union[int, str],
) -> platform_entities.UserGroupMember:
raw = await self.bot.get_group_member_info(group_id=int(group_id), user_id=int(user_id), no_cache=True)
return self._member_to_entity(raw, group_id)
async def set_group_name(self, group_id: typing.Union[int, str], name: str) -> None:
await self.bot.set_group_name(group_id=int(group_id), group_name=name)
async def mute_member(
self,
group_id: typing.Union[int, str],
user_id: typing.Union[int, str],
duration: int = 0,
) -> None:
await self.bot.set_group_ban(group_id=int(group_id), user_id=int(user_id), duration=int(duration))
async def unmute_member(self, group_id: typing.Union[int, str], user_id: typing.Union[int, str]) -> None:
await self.bot.set_group_ban(group_id=int(group_id), user_id=int(user_id), duration=0)
async def kick_member(self, group_id: typing.Union[int, str], user_id: typing.Union[int, str]) -> None:
await self.bot.set_group_kick(group_id=int(group_id), user_id=int(user_id), reject_add_request=False)
async def leave_group(self, group_id: typing.Union[int, str]) -> None:
await self.bot.set_group_leave(group_id=int(group_id), is_dismiss=False)
async def get_user_info(self, user_id: typing.Union[int, str]) -> platform_entities.User:
raw = await self.bot.get_stranger_info(user_id=int(user_id), no_cache=True)
return platform_entities.User(
id=raw.get('user_id', user_id),
nickname=raw.get('nickname', ''),
avatar_url=raw.get('avatar_url'),
)
async def get_friend_list(self) -> list[platform_entities.User]:
raw_list = await self.bot.get_friend_list()
return [
platform_entities.User(
id=item.get('user_id', ''),
nickname=item.get('nickname', ''),
remark=item.get('remark'),
)
for item in raw_list
]
async def approve_friend_request(
self,
request_id: typing.Union[int, str],
approve: bool = True,
remark: typing.Optional[str] = None,
) -> None:
await self.bot.set_friend_add_request(flag=str(request_id), approve=approve, remark=remark or '')
async def approve_group_invite(self, request_id: typing.Union[int, str], approve: bool = True) -> None:
await self.bot.set_group_add_request(flag=str(request_id), sub_type='invite', approve=approve, reason='')
async def upload_file(self, file_data: bytes, filename: str) -> str:
raise NotSupportedError('upload_file')
async def get_file_url(self, file_id: str) -> str:
raise NotSupportedError('get_file_url')
@staticmethod
def _member_to_entity(raw: dict, group_id: typing.Union[int, str]) -> platform_entities.UserGroupMember:
role = platform_entities.MemberRole.MEMBER
if raw.get('role') == 'owner':
role = platform_entities.MemberRole.OWNER
elif raw.get('role') == 'admin':
role = platform_entities.MemberRole.ADMIN
return platform_entities.UserGroupMember(
user=platform_entities.User(
id=raw.get('user_id', ''),
nickname=raw.get('nickname', ''),
remark=raw.get('card') or raw.get('remark'),
),
group_id=group_id,
role=role,
display_name=raw.get('card') or raw.get('nickname'),
joined_at=float(raw['join_time']) if raw.get('join_time') else None,
title=raw.get('title'),
)
async def _send_forward_message(self, group_id: int, forward: platform_message.Forward) -> dict:
messages = []
for node in forward.node_list:
if not node.message_chain:
continue
content, _, _ = await AiocqhttpMessageConverter.yiri2target(node.message_chain)
if not content:
continue
messages.append(
{
'type': 'node',
'data': {
'user_id': str(node.sender_id or self.bot_account_id or '10000'),
'nickname': node.sender_name or 'LangBot',
'content': list(content),
},
}
)
if not messages:
return {}
try:
return await self.bot.call_action(
'send_forward_msg', group_id=group_id, user_id=str(self.bot_account_id), messages=messages
)
except Exception:
return await self.bot.call_action('send_group_forward_msg', group_id=group_id, messages=messages)

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from __future__ import annotations
import typing
import aiocqhttp
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
from langbot.pkg.platform.adapters.aiocqhttp.message_converter import AiocqhttpMessageConverter
from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
from langbot_plugin.api.entities.builtin.platform import events as platform_events
class AiocqhttpEventConverter(abstract_platform_adapter.AbstractEventConverter):
@staticmethod
async def yiri2target(event: platform_events.Event, bot_account_id: int | str | None = None):
return getattr(event, 'source_platform_object', None)
@staticmethod
async def target2yiri(
event: aiocqhttp.Event,
bot: aiocqhttp.CQHttp | None = None,
bot_user_id: int | str | None = None,
) -> platform_events.Event | None:
event_type = getattr(event, 'type', None)
if event_type == 'message':
return await AiocqhttpEventConverter.message_to_eba(event, bot)
if event_type == 'notice':
return AiocqhttpEventConverter.notice_to_eba(event, bot_user_id)
if event_type == 'request':
return AiocqhttpEventConverter.request_to_eba(event)
if event_type == 'meta_event':
return AiocqhttpEventConverter.platform_specific(event, f'meta.{getattr(event, "detail_type", "")}')
return None
@staticmethod
async def target2legacy(
event: aiocqhttp.Event,
bot: aiocqhttp.CQHttp | None = None,
) -> platform_events.FriendMessage | platform_events.GroupMessage | None:
eba_event = await AiocqhttpEventConverter.message_to_eba(event, bot)
if eba_event:
return eba_event.to_legacy_event()
return None
@staticmethod
async def message_to_eba(
event: aiocqhttp.Event,
bot: aiocqhttp.CQHttp | None = None,
) -> platform_events.MessageReceivedEvent:
message_chain = await AiocqhttpMessageConverter.target2yiri(
getattr(event, 'message', []),
getattr(event, 'message_id', -1),
getattr(event, 'time', None),
bot,
)
message_type = getattr(event, 'message_type', getattr(event, 'detail_type', 'private'))
group = None
chat_type = platform_entities.ChatType.PRIVATE
chat_id = getattr(event, 'user_id', '')
if message_type == 'group':
chat_type = platform_entities.ChatType.GROUP
chat_id = getattr(event, 'group_id', '')
group = AiocqhttpEventConverter.group_from_event(event)
return platform_events.MessageReceivedEvent(
type='message.received',
adapter_name='aiocqhttp',
message_id=getattr(event, 'message_id', ''),
message_chain=message_chain,
sender=AiocqhttpEventConverter.user_from_sender(event),
chat_type=chat_type,
chat_id=chat_id,
group=group,
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
@staticmethod
def notice_to_eba(
event: aiocqhttp.Event,
bot_user_id: int | str | None = None,
) -> platform_events.EBAEvent:
notice_type = getattr(event, 'notice_type', getattr(event, 'detail_type', ''))
if notice_type in ('group_recall', 'friend_recall'):
return platform_events.MessageDeletedEvent(
type='message.deleted',
adapter_name='aiocqhttp',
message_id=getattr(event, 'message_id', ''),
operator=AiocqhttpEventConverter.user(getattr(event, 'operator_id', None)),
chat_type=platform_entities.ChatType.GROUP
if notice_type == 'group_recall'
else platform_entities.ChatType.PRIVATE,
chat_id=getattr(event, 'group_id', getattr(event, 'user_id', '')),
group=AiocqhttpEventConverter.group_from_event(event) if notice_type == 'group_recall' else None,
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
if notice_type == 'group_increase':
group = AiocqhttpEventConverter.group_from_event(event)
user = AiocqhttpEventConverter.user(getattr(event, 'user_id', ''))
inviter_id = getattr(event, 'operator_id', None)
if AiocqhttpEventConverter._is_bot_user(getattr(event, 'user_id', None), bot_user_id, event):
return platform_events.BotInvitedToGroupEvent(
type='bot.invited_to_group',
adapter_name='aiocqhttp',
group=group,
inviter=AiocqhttpEventConverter.user(inviter_id) if inviter_id else None,
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
return platform_events.MemberJoinedEvent(
type='group.member_joined',
adapter_name='aiocqhttp',
group=group,
member=user,
inviter=AiocqhttpEventConverter.user(inviter_id) if inviter_id else None,
join_type=getattr(event, 'sub_type', None) or 'direct',
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
if notice_type == 'group_decrease':
group = AiocqhttpEventConverter.group_from_event(event)
operator = AiocqhttpEventConverter.user(getattr(event, 'operator_id', None))
if AiocqhttpEventConverter._is_bot_user(getattr(event, 'user_id', None), bot_user_id, event):
return platform_events.BotRemovedFromGroupEvent(
type='bot.removed_from_group',
adapter_name='aiocqhttp',
group=group,
operator=operator,
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
return platform_events.MemberLeftEvent(
type='group.member_left',
adapter_name='aiocqhttp',
group=group,
member=AiocqhttpEventConverter.user(getattr(event, 'user_id', '')),
is_kicked=getattr(event, 'sub_type', '') in ('kick', 'kick_me'),
operator=operator,
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
if notice_type == 'group_ban':
group = AiocqhttpEventConverter.group_from_event(event)
duration = int(getattr(event, 'duration', 0) or 0)
operator = AiocqhttpEventConverter.user(getattr(event, 'operator_id', None))
if AiocqhttpEventConverter._is_bot_user(getattr(event, 'user_id', None), bot_user_id, event):
event_cls = platform_events.BotMutedEvent if duration > 0 else platform_events.BotUnmutedEvent
kwargs: dict[str, typing.Any] = {
'type': 'bot.muted' if duration > 0 else 'bot.unmuted',
'adapter_name': 'aiocqhttp',
'group': group,
'operator': operator,
'timestamp': float(getattr(event, 'time', 0) or 0),
'source_platform_object': event,
}
if duration > 0:
kwargs['duration'] = duration
return event_cls(**kwargs)
if duration > 0:
return platform_events.MemberBannedEvent(
type='group.member_banned',
adapter_name='aiocqhttp',
group=group,
member=AiocqhttpEventConverter.user(getattr(event, 'user_id', '')),
operator=operator,
duration=duration,
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
if notice_type == 'friend_add':
return platform_events.FriendAddedEvent(
type='friend.added',
adapter_name='aiocqhttp',
user=AiocqhttpEventConverter.user(getattr(event, 'user_id', '')),
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
return AiocqhttpEventConverter.platform_specific(event, f'notice.{notice_type}')
@staticmethod
def request_to_eba(event: aiocqhttp.Event) -> platform_events.EBAEvent:
request_type = getattr(event, 'request_type', getattr(event, 'detail_type', ''))
if request_type == 'friend':
return platform_events.FriendRequestReceivedEvent(
type='friend.request_received',
adapter_name='aiocqhttp',
request_id=getattr(event, 'flag', ''),
user=AiocqhttpEventConverter.user(getattr(event, 'user_id', '')),
message=getattr(event, 'comment', None),
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
if request_type == 'group' and getattr(event, 'sub_type', '') == 'invite':
return platform_events.BotInvitedToGroupEvent(
type='bot.invited_to_group',
adapter_name='aiocqhttp',
group=AiocqhttpEventConverter.group_from_event(event),
inviter=AiocqhttpEventConverter.user(getattr(event, 'user_id', '')),
request_id=getattr(event, 'flag', ''),
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
return AiocqhttpEventConverter.platform_specific(event, f'request.{request_type}')
@staticmethod
def user_from_sender(event: aiocqhttp.Event) -> platform_entities.User:
sender = getattr(event, 'sender', {}) or {}
nickname = sender.get('card') or sender.get('nickname') or ''
return platform_entities.User(
id=sender.get('user_id', getattr(event, 'user_id', '')),
nickname=nickname,
remark=sender.get('remark'),
)
@staticmethod
def user(user_id: typing.Union[int, str, None], nickname: str = '') -> platform_entities.User | None:
if user_id is None or user_id == '':
return None
return platform_entities.User(id=user_id, nickname=nickname)
@staticmethod
def group_from_event(event: aiocqhttp.Event) -> platform_entities.UserGroup:
return platform_entities.UserGroup(
id=getattr(event, 'group_id', ''),
name=getattr(event, 'group_name', '') or '',
member_count=getattr(event, 'member_count', None),
)
@staticmethod
def platform_specific(event: aiocqhttp.Event, action: str) -> platform_events.PlatformSpecificEvent:
return platform_events.PlatformSpecificEvent(
type='platform.specific',
adapter_name='aiocqhttp',
action=action,
data={key: value for key, value in dict(event).items() if key not in {'message'}},
timestamp=float(getattr(event, 'time', 0) or 0),
source_platform_object=event,
)
@staticmethod
def _is_bot_user(user_id: typing.Any, bot_user_id: typing.Any, event: aiocqhttp.Event) -> bool:
candidate = bot_user_id or getattr(event, 'self_id', None)
return candidate is not None and user_id is not None and str(user_id) == str(candidate)

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apiVersion: v1
kind: MessagePlatformAdapter
metadata:
name: aiocqhttp-eba
label:
en_US: OneBot v11 (EBA)
zh_Hans: OneBot v11 (EBA)
zh_Hant: OneBot v11 (EBA)
description:
en_US: OneBot v11 adapter for QQ-compatible protocol endpoints (EBA architecture)
zh_Hans: OneBot v11 适配器,用于接入 QQ 兼容协议端EBA 架构版本)
zh_Hant: OneBot v11 適配器,用於接入 QQ 相容協定端EBA 架構版本)
icon: onebot.svg
spec:
categories:
- protocol
help_links:
zh: https://link.langbot.app/zh/platforms/aiocqhttp
en: https://link.langbot.app/en/platforms/aiocqhttp
ja: https://link.langbot.app/ja/platforms/aiocqhttp
config:
- name: host
label:
en_US: Host
zh_Hans: 主机
zh_Hant: 主機
description:
en_US: The host that OneBot v11 listens on for reverse WebSocket connections. Unless you know what you're doing, use 0.0.0.0
zh_Hans: OneBot v11 反向 WebSocket 监听主机,除非你知道自己在做什么,否则请写 0.0.0.0
zh_Hant: OneBot v11 反向 WebSocket 監聽主機,除非你知道自己在做什麼,否則請填 0.0.0.0
type: string
required: true
default: 0.0.0.0
- name: port
label:
en_US: Port
zh_Hans: 端口
zh_Hant: 連接埠
description:
en_US: Reverse WebSocket listen port
zh_Hans: 反向 WebSocket 监听端口
zh_Hant: 反向 WebSocket 監聽連接埠
type: integer
required: true
default: 2280
- name: access-token
label:
en_US: Access Token
zh_Hans: 访问令牌
zh_Hant: 存取令牌
description:
en_US: Custom connection token for the protocol endpoint. Leave empty if the endpoint has no token configured
zh_Hans: 自定义的协议端连接令牌;若协议端未设置,则不填
zh_Hant: 自訂的協定端連線令牌;若協定端未設定,則不填
type: string
required: false
default: ""
supported_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
supported_apis:
required:
- send_message
- reply_message
optional:
- delete_message
- forward_message
- get_message
- get_group_info
- get_group_list
- get_group_member_list
- get_group_member_info
- set_group_name
- get_user_info
- get_friend_list
- approve_friend_request
- approve_group_invite
- mute_member
- unmute_member
- kick_member
- leave_group
- call_platform_api
platform_specific_apis:
- action: get_login_info
description: { en_US: "Get current bot account information", zh_Hans: "获取当前机器人账号信息" }
- action: get_status
description: { en_US: "Get endpoint status", zh_Hans: "获取协议端状态" }
- action: get_version_info
description: { en_US: "Get endpoint version information", zh_Hans: "获取协议端版本信息" }
- action: get_group_honor_info
description: { en_US: "Get group honor information", zh_Hans: "获取群荣誉信息" }
- action: set_group_card
description: { en_US: "Set a member group card", zh_Hans: "设置群名片" }
- action: set_group_special_title
description: { en_US: "Set a member special title", zh_Hans: "设置群专属头衔" }
- action: set_group_admin
description: { en_US: "Set group administrator status", zh_Hans: "设置群管理员" }
- action: set_group_whole_ban
description: { en_US: "Enable or disable whole-group mute", zh_Hans: "设置全员禁言" }
- action: send_group_forward_msg
description: { en_US: "Send a merged forward message", zh_Hans: "发送合并转发消息" }
- action: get_forward_msg
description: { en_US: "Get merged forward message content", zh_Hans: "获取合并转发消息内容" }
- action: get_record
description: { en_US: "Get voice file", zh_Hans: "获取语音文件" }
- action: get_image
description: { en_US: "Get image file", zh_Hans: "获取图片文件" }
- action: can_send_image
description: { en_US: "Check whether images can be sent", zh_Hans: "检查是否可以发送图片" }
- action: can_send_record
description: { en_US: "Check whether voice messages can be sent", zh_Hans: "检查是否可以发送语音" }
execution:
python:
path: ./adapter.py
attr: AiocqhttpAdapter

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from __future__ import annotations
import datetime
import typing
import aiocqhttp
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
from langbot_plugin.api.entities.builtin.platform import message as platform_message
FACE_NAMES = {
'14': '微笑',
'21': '可爱',
'23': '傲慢',
'24': '饥饿',
'25': '',
'26': '惊恐',
'27': '流汗',
'28': '憨笑',
'29': '悠闲',
'30': '奋斗',
'32': '疑问',
'33': '',
'34': '',
'38': '敲打',
'39': '再见',
'42': '爱情',
'43': '跳跳',
'49': '拥抱',
'53': '蛋糕',
'63': '玫瑰',
'66': '爱心',
'74': '太阳',
'75': '月亮',
'76': '',
'78': '握手',
'79': '胜利',
'85': '飞吻',
'89': '西瓜',
'96': '冷汗',
'97': '擦汗',
'98': '抠鼻',
'99': '鼓掌',
'100': '糗大了',
'101': '坏笑',
'102': '左哼哼',
'103': '右哼哼',
'104': '哈欠',
'106': '委屈',
'111': '可怜',
'120': '拳头',
'122': '爱你',
'123': 'NO',
'124': 'OK',
'129': '挥手',
'144': '喝彩',
'147': '棒棒糖',
'171': '',
'173': '泪奔',
'174': '无奈',
'175': '卖萌',
'179': 'doge',
'180': '惊喜',
'182': '笑哭',
'201': '点赞',
'203': '托脸',
'212': '托腮',
'264': '捂脸',
'271': '吃瓜',
'285': '摸鱼',
}
class AiocqhttpMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
@staticmethod
async def yiri2target(
message_chain: platform_message.MessageChain,
) -> tuple[aiocqhttp.Message, typing.Union[int, str, None], datetime.datetime | None]:
target = aiocqhttp.Message()
source_id: typing.Union[int, str, None] = None
source_time: datetime.datetime | None = None
for component in message_chain:
if isinstance(component, platform_message.Source):
source_id = component.id
source_time = component.time
elif isinstance(component, platform_message.Plain):
target.append(aiocqhttp.MessageSegment.text(component.text))
elif isinstance(component, platform_message.At):
target.append(aiocqhttp.MessageSegment.at(component.target))
elif isinstance(component, platform_message.AtAll):
target.append(aiocqhttp.MessageSegment.at('all'))
elif isinstance(component, platform_message.Image):
file_arg = AiocqhttpMessageConverter._file_arg(component)
if file_arg:
target.append(aiocqhttp.MessageSegment.image(file_arg))
elif isinstance(component, platform_message.Voice):
file_arg = AiocqhttpMessageConverter._file_arg(component)
if file_arg:
target.append(aiocqhttp.MessageSegment.record(file_arg))
elif isinstance(component, platform_message.File):
file_arg = component.url or component.path or component.base64 or component.id
target.append(
aiocqhttp.MessageSegment(
type_='file',
data={
'file': file_arg,
'name': component.name or 'file',
},
)
)
elif isinstance(component, platform_message.Face):
if component.face_type == 'rps':
target.append(aiocqhttp.MessageSegment.rps())
elif component.face_type == 'dice':
target.append(aiocqhttp.MessageSegment.dice())
else:
target.append(aiocqhttp.MessageSegment.face(component.face_id))
elif isinstance(component, platform_message.Forward):
for node in component.node_list:
if node.message_chain:
node_message, _, _ = await AiocqhttpMessageConverter.yiri2target(node.message_chain)
target.extend(node_message)
elif isinstance(component, platform_message.Quote) and component.id is not None:
target.append(aiocqhttp.MessageSegment.reply(component.id))
else:
target.append(aiocqhttp.MessageSegment.text(str(component)))
return target, source_id, source_time
@staticmethod
async def target2yiri(
message: typing.Any,
message_id: typing.Union[int, str] = -1,
timestamp: float | None = None,
bot: aiocqhttp.CQHttp | None = None,
) -> platform_message.MessageChain:
target = aiocqhttp.Message(message)
message_time = datetime.datetime.fromtimestamp(timestamp) if timestamp else datetime.datetime.now()
components: list[platform_message.MessageComponent] = [
platform_message.Source(id=message_id, time=message_time),
]
for segment in target:
if segment.type == 'text':
components.append(platform_message.Plain(text=segment.data.get('text', '')))
elif segment.type == 'at':
qq = str(segment.data.get('qq', ''))
components.append(platform_message.AtAll() if qq == 'all' else platform_message.At(target=qq))
elif segment.type == 'image':
if segment.data.get('emoji_package_id'):
components.append(
platform_message.Face(
face_id=int(segment.data.get('emoji_package_id') or 0),
face_name=segment.data.get('summary', ''),
)
)
else:
components.append(
platform_message.Image(
image_id=str(segment.data.get('file', '')),
url=segment.data.get('url') or segment.data.get('file') or '',
)
)
elif segment.type == 'record':
components.append(
platform_message.Voice(
voice_id=str(segment.data.get('file', '')),
url=segment.data.get('url') or segment.data.get('file') or '',
)
)
elif segment.type == 'file':
components.append(
platform_message.File(
id=str(segment.data.get('file_id') or segment.data.get('file') or ''),
name=segment.data.get('name') or segment.data.get('file') or '',
size=int(segment.data.get('size') or segment.data.get('file_size') or 0),
url=segment.data.get('url') or segment.data.get('file_url') or '',
)
)
elif segment.type == 'reply':
quote = await AiocqhttpMessageConverter._quote_from_reply_segment(segment, bot)
components.append(quote)
elif segment.type == 'face':
face_id = str(segment.data.get('id', 0))
face_name = ''
raw = segment.data.get('raw')
if isinstance(raw, dict):
face_name = str(raw.get('faceText') or '')
components.append(
platform_message.Face(
face_id=int(face_id or 0),
face_name=face_name.replace('/', '') or FACE_NAMES.get(face_id, ''),
)
)
elif segment.type == 'rps':
components.append(
platform_message.Face(
face_type='rps',
face_id=int(segment.data.get('result') or 0),
face_name='猜拳',
)
)
elif segment.type == 'dice':
components.append(
platform_message.Face(
face_type='dice',
face_id=int(segment.data.get('result') or 0),
face_name='骰子',
)
)
else:
components.append(platform_message.Unknown(text=f'{segment.type}:{segment.data}'))
return platform_message.MessageChain(components)
@staticmethod
def _file_arg(component: platform_message.Image | platform_message.Voice) -> str:
if component.base64:
_, _, payload = component.base64.partition(',')
return f'base64://{payload or component.base64}'
if component.url:
return component.url
if component.path:
return str(component.path)
return ''
@staticmethod
async def _quote_from_reply_segment(
segment: aiocqhttp.MessageSegment,
bot: aiocqhttp.CQHttp | None,
) -> platform_message.Quote:
reply_id = segment.data.get('id')
origin = platform_message.MessageChain([])
sender_id = None
group_id = None
target_id = None
if bot is not None and reply_id is not None:
try:
message_data = await bot.get_msg(message_id=int(reply_id))
sender_id = message_data.get('sender', {}).get('user_id') or message_data.get('user_id')
group_id = message_data.get('group_id')
target_id = group_id or sender_id
origin = await AiocqhttpMessageConverter.target2yiri(
message_data.get('message', []),
message_data.get('message_id', reply_id),
message_data.get('time'),
bot=None,
)
except Exception:
origin = platform_message.MessageChain([])
return platform_message.Quote(
id=reply_id,
group_id=group_id,
sender_id=sender_id,
target_id=target_id,
origin=origin,
)

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<svg width="96" height="96" viewBox="0 0 96 96" fill="none" xmlns="http://www.w3.org/2000/svg">
<rect width="96" height="96" rx="20" fill="#16A34A"/>
<path d="M24 33C24 25.268 30.268 19 38 19H58C65.732 19 72 25.268 72 33V51C72 58.732 65.732 65 58 65H41.5L29 77V64.059C26.024 61.514 24 57.729 24 51V33Z" fill="white"/>
<circle cx="39" cy="42" r="5" fill="#16A34A"/>
<circle cx="57" cy="42" r="5" fill="#16A34A"/>
<path d="M39 53C44.5 57 51.5 57 57 53" stroke="#16A34A" stroke-width="5" stroke-linecap="round"/>
</svg>

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from __future__ import annotations
import typing
import aiocqhttp
async def _call(bot: aiocqhttp.CQHttp, action: str, params: dict[str, typing.Any]) -> dict:
result = await bot.call_action(action, **params)
return result or {}
async def get_login_info(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'get_login_info', params)
async def get_status(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'get_status', params)
async def get_version_info(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'get_version_info', params)
async def get_group_honor_info(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'get_group_honor_info', params)
async def set_group_card(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'set_group_card', params)
async def set_group_special_title(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'set_group_special_title', params)
async def set_group_admin(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'set_group_admin', params)
async def set_group_whole_ban(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'set_group_whole_ban', params)
async def send_group_forward_msg(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'send_group_forward_msg', params)
async def get_forward_msg(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'get_forward_msg', params)
async def get_record(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'get_record', params)
async def get_image(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'get_image', params)
async def can_send_image(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'can_send_image', params)
async def can_send_record(bot: aiocqhttp.CQHttp, params: dict) -> dict:
return await _call(bot, 'can_send_record', params)
PLATFORM_API_MAP = {
'get_login_info': get_login_info,
'get_status': get_status,
'get_version_info': get_version_info,
'get_group_honor_info': get_group_honor_info,
'set_group_card': set_group_card,
'set_group_special_title': set_group_special_title,
'set_group_admin': set_group_admin,
'set_group_whole_ban': set_group_whole_ban,
'send_group_forward_msg': send_group_forward_msg,
'get_forward_msg': get_forward_msg,
'get_record': get_record,
'get_image': get_image,
'can_send_image': can_send_image,
'can_send_record': can_send_record,
}

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from __future__ import annotations
import typing
import aiocqhttp
TargetMessage = typing.Union[str, list, dict, aiocqhttp.Message]
OneBotResponse = dict[str, typing.Any] | None

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"""DingTalk EBA platform adapter."""

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from __future__ import annotations
import traceback
import typing
import pydantic
from langbot.libs.dingtalk_api.api import DingTalkClient
from langbot.libs.dingtalk_api.dingtalkevent import DingTalkEvent
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
from langbot.pkg.platform.adapters.dingtalk.api_impl import DingTalkAPIMixin
from langbot.pkg.platform.adapters.dingtalk.event_converter import DingTalkEventConverter
from langbot.pkg.platform.adapters.dingtalk.message_converter import DingTalkMessageConverter
from langbot.pkg.platform.adapters.dingtalk.platform_api import PLATFORM_API_MAP
from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
from langbot_plugin.api.entities.builtin.platform import events as platform_events
from langbot_plugin.api.entities.builtin.platform import message as platform_message
from langbot_plugin.api.entities.builtin.platform.errors import NotSupportedError
class DingTalkAdapter(DingTalkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapter):
bot: DingTalkClient = pydantic.Field(exclude=True)
message_converter: DingTalkMessageConverter = DingTalkMessageConverter()
event_converter: DingTalkEventConverter = DingTalkEventConverter()
config: dict
listeners: dict[
typing.Type[platform_events.Event],
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
] = {}
card_instance_id_dict: dict = {}
_message_cache: dict[str, platform_events.MessageReceivedEvent] = {}
_user_cache: dict[str, platform_entities.User] = {}
_group_cache: dict[str, platform_entities.UserGroup] = {}
class Config:
arbitrary_types_allowed = True
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
required_keys = ['client_id', 'client_secret', 'robot_name', 'robot_code']
missing_keys = [key for key in required_keys if key not in config]
if missing_keys:
raise Exception('钉钉缺少相关配置项,请查看文档或联系管理员')
bot = DingTalkClient(
client_id=config['client_id'],
client_secret=config['client_secret'],
robot_name=config['robot_name'],
robot_code=config['robot_code'],
markdown_card=config.get('markdown_card', True),
logger=logger,
)
super().__init__(
config=config,
logger=logger,
card_instance_id_dict={},
bot_account_id=config['robot_name'],
bot=bot,
listeners={},
_message_cache={},
_user_cache={},
_group_cache={},
)
self._register_native_handlers()
def get_supported_events(self) -> list[str]:
return [
'message.received',
'platform.specific',
]
def get_supported_apis(self) -> list[str]:
return [
'send_message',
'reply_message',
'get_message',
'get_group_info',
'get_group_list',
'get_group_member_info',
'get_user_info',
'get_friend_list',
'get_file_url',
'call_platform_api',
]
async def send_message(
self,
target_type: str,
target_id: str,
message: platform_message.MessageChain,
) -> platform_events.MessageResult:
markdown_enabled = self.config.get('markdown_card', False)
content, _ = await DingTalkMessageConverter.yiri2target(message, markdown_enabled)
if target_type in ('person', 'private'):
raw = await self.bot.send_proactive_message_to_one(target_id, content)
elif target_type == 'group':
raw = await self.bot.send_proactive_message_to_group(target_id, content)
else:
raise ValueError(f'Unsupported dingtalk target_type: {target_type}')
return platform_events.MessageResult(raw=raw if isinstance(raw, dict) else {'result': raw})
async def reply_message(
self,
message_source: platform_events.MessageEvent,
message: platform_message.MessageChain,
quote_origin: bool = False,
) -> platform_events.MessageResult:
assert isinstance(message_source.source_platform_object, DingTalkEvent)
incoming_message = message_source.source_platform_object.incoming_message
markdown_enabled = self.config.get('markdown_card', False)
content, at = await DingTalkMessageConverter.yiri2target(message, markdown_enabled)
raw = await self.bot.send_message(content, incoming_message, at)
return platform_events.MessageResult(
message_id=getattr(incoming_message, 'message_id', None),
raw=raw if isinstance(raw, dict) else {'result': raw},
)
async def reply_message_chunk(
self,
message_source: platform_events.MessageEvent,
bot_message,
message: platform_message.MessageChain,
quote_origin: bool = False,
is_final: bool = False,
):
message_id = bot_message.resp_message_id
msg_seq = bot_message.msg_sequence
if (msg_seq - 1) % 8 != 0 and not is_final:
return
markdown_enabled = self.config.get('markdown_card', False)
content, _ = await DingTalkMessageConverter.yiri2target(message, markdown_enabled)
card_instance, card_instance_id = self.card_instance_id_dict[message_id]
if not content and bot_message.content:
content = bot_message.content
if content:
await self.bot.send_card_message(card_instance, card_instance_id, content, is_final)
if is_final and bot_message.tool_calls is None:
self.card_instance_id_dict.pop(message_id)
async def create_message_card(self, message_id, event):
card_template_id = self.config['card_template_id']
incoming_message = event.source_platform_object.incoming_message
card_auto_layout = self.config.get('card_auto_layout', False)
card_instance, card_instance_id = await self.bot.create_and_card(
card_template_id,
incoming_message,
card_auto_layout=card_auto_layout,
)
self.card_instance_id_dict[message_id] = (card_instance, card_instance_id)
return True
async def is_stream_output_supported(self) -> bool:
return bool(self.config.get('enable-stream-reply', False))
async def call_platform_api(self, action: str, params: dict = {}) -> dict:
handler = PLATFORM_API_MAP.get(action)
if handler is None:
raise NotSupportedError(f'call_platform_api:{action}')
return await handler(self.bot, params)
def register_listener(
self,
event_type: typing.Type[platform_events.Event],
callback: typing.Callable[
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
],
):
self.listeners[event_type] = callback
def unregister_listener(
self,
event_type: typing.Type[platform_events.Event],
callback: typing.Callable[
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
],
):
registered = self.listeners.get(event_type)
if registered is callback:
self.listeners.pop(event_type, None)
async def run_async(self):
await self.logger.info('DingTalk EBA adapter starting')
await self.bot.start()
async def kill(self) -> bool:
await self.bot.stop()
return True
async def is_muted(self, group_id: int | None = None) -> bool:
return False
def _register_native_handlers(self):
async def on_message(event: DingTalkEvent):
await self._handle_native_event(event)
self.bot.on_message('FriendMessage')(on_message)
self.bot.on_message('GroupMessage')(on_message)
async def _handle_native_event(self, event: DingTalkEvent):
try:
await self.logger.debug(
'DingTalk EBA event received: '
f'conversation={event.conversation}, message_id={getattr(event.incoming_message, "message_id", None)}'
)
if platform_events.FriendMessage in self.listeners or platform_events.GroupMessage in self.listeners:
legacy_event = await self.event_converter.target2legacy(event, self.config['robot_name'])
if legacy_event:
callback = self.listeners.get(type(legacy_event))
if callback:
await callback(legacy_event, self)
eba_event = await self.event_converter.target2yiri(event, self.config['robot_name'])
if eba_event:
self._cache_event(eba_event)
await self._dispatch_eba_event(eba_event)
except Exception:
await self.logger.error(f'Error in dingtalk native event: {traceback.format_exc()}')
async def _dispatch_eba_event(self, event: platform_events.EBAEvent):
for event_type in (type(event), platform_events.EBAEvent, platform_events.Event):
callback = self.listeners.get(event_type)
if callback:
await callback(event, self)
return
def _cache_event(self, event: platform_events.Event):
if not isinstance(event, platform_events.MessageReceivedEvent):
return
self._message_cache[str(event.message_id)] = event
self._user_cache[str(event.sender.id)] = event.sender
if event.group:
self._group_cache[str(event.group.id)] = event.group

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from __future__ import annotations
import typing
from langbot.libs.dingtalk_api.api import DingTalkClient
from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
from langbot_plugin.api.entities.builtin.platform import events as platform_events
from langbot_plugin.api.entities.builtin.platform.errors import NotSupportedError
class DingTalkAPIMixin:
bot: DingTalkClient
_message_cache: dict[str, platform_events.MessageReceivedEvent]
_user_cache: dict[str, platform_entities.User]
_group_cache: dict[str, platform_entities.UserGroup]
async def get_message(
self,
chat_type: str,
chat_id: typing.Union[int, str],
message_id: typing.Union[int, str],
) -> platform_events.MessageReceivedEvent:
event = self._message_cache.get(str(message_id))
if event is None:
raise NotSupportedError('get_message:message_not_cached')
return event
async def get_group_info(self, group_id: typing.Union[int, str]) -> platform_entities.UserGroup:
return self._group_cache.get(str(group_id)) or platform_entities.UserGroup(id=group_id, name='')
async def get_group_list(self) -> list[platform_entities.UserGroup]:
return list(self._group_cache.values())
async def get_group_member_list(
self,
group_id: typing.Union[int, str],
) -> list[platform_entities.UserGroupMember]:
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],
) -> platform_entities.UserGroupMember:
user = self._user_cache.get(str(user_id))
if user is None:
raise NotSupportedError('get_group_member_info:user_not_cached')
return platform_entities.UserGroupMember(
user=user,
group_id=group_id,
role=platform_entities.MemberRole.MEMBER,
display_name=user.nickname,
)
async def get_user_info(self, user_id: typing.Union[int, str]) -> platform_entities.User:
return self._user_cache.get(str(user_id)) or platform_entities.User(id=user_id, nickname='')
async def get_friend_list(self) -> list[platform_entities.User]:
return list(self._user_cache.values())
async def upload_file(self, file_data: bytes, filename: str) -> str:
raise NotSupportedError('upload_file')
async def get_file_url(self, file_id: str) -> str:
return await self.bot.get_file_url(file_id)

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<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
<!-- Uploaded to: SVG Repo, www.svgrepo.com, Transformed by: SVG Repo Mixer Tools -->
<svg fill="#4aa4f8" width="800px" height="800px" viewBox="0 0 1024 1024" xmlns="http://www.w3.org/2000/svg" class="icon" stroke="#4aa4f8">
<g id="SVGRepo_bgCarrier" stroke-width="0"/>

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from __future__ import annotations
import typing
from langbot.libs.dingtalk_api.dingtalkevent import DingTalkEvent
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
from langbot.pkg.platform.adapters.dingtalk.message_converter import DingTalkMessageConverter
from langbot.pkg.platform.adapters.dingtalk.types import ADAPTER_NAME
from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
from langbot_plugin.api.entities.builtin.platform import events as platform_events
class DingTalkEventConverter(abstract_platform_adapter.AbstractEventConverter):
@staticmethod
async def yiri2target(event: platform_events.Event):
return getattr(event, 'source_platform_object', None)
@staticmethod
async def target2yiri(event: DingTalkEvent, bot_name: str) -> platform_events.Event | None:
if event.conversation in {'FriendMessage', 'GroupMessage'}:
return await DingTalkEventConverter.message_to_eba(event, bot_name)
return DingTalkEventConverter.platform_specific(event, f'message.{event.conversation or "unknown"}')
@staticmethod
async def target2legacy(
event: DingTalkEvent,
bot_name: str,
) -> platform_events.FriendMessage | platform_events.GroupMessage | None:
eba_event = await DingTalkEventConverter.message_to_eba(event, bot_name)
if eba_event:
return eba_event.to_legacy_event()
return None
@staticmethod
async def message_to_eba(event: DingTalkEvent, bot_name: str) -> platform_events.MessageReceivedEvent:
incoming_message = event.incoming_message
message_chain = await DingTalkMessageConverter.target2yiri(event, bot_name)
sender = DingTalkEventConverter.user_from_event(event)
chat_type = platform_entities.ChatType.PRIVATE
chat_id = getattr(incoming_message, 'sender_staff_id', '')
group = None
if event.conversation == 'GroupMessage':
chat_type = platform_entities.ChatType.GROUP
chat_id = getattr(incoming_message, 'conversation_id', '')
group = DingTalkEventConverter.group_from_event(event)
return platform_events.MessageReceivedEvent(
type='message.received',
adapter_name=ADAPTER_NAME,
message_id=getattr(incoming_message, 'message_id', ''),
message_chain=message_chain,
sender=sender,
chat_type=chat_type,
chat_id=chat_id,
group=group,
timestamp=DingTalkEventConverter._timestamp(incoming_message),
source_platform_object=event,
)
@staticmethod
def user_from_event(event: DingTalkEvent) -> platform_entities.User:
incoming_message = event.incoming_message
return platform_entities.User(
id=getattr(incoming_message, 'sender_staff_id', ''),
nickname=getattr(incoming_message, 'sender_nick', '') or '',
)
@staticmethod
def group_from_event(event: DingTalkEvent) -> platform_entities.UserGroup:
incoming_message = event.incoming_message
return platform_entities.UserGroup(
id=getattr(incoming_message, 'conversation_id', ''),
name=getattr(incoming_message, 'conversation_title', '') or '',
)
@staticmethod
def platform_specific(event: DingTalkEvent, action: str) -> platform_events.PlatformSpecificEvent:
return platform_events.PlatformSpecificEvent(
type='platform.specific',
adapter_name=ADAPTER_NAME,
action=action,
data={
key: value for key, value in dict(event).items() if key not in {'IncomingMessage', 'Picture', 'Audio'}
},
timestamp=DingTalkEventConverter._timestamp(event.incoming_message),
source_platform_object=event,
)
@staticmethod
def _timestamp(incoming_message: typing.Any) -> float:
value = getattr(incoming_message, 'create_at', None)
if isinstance(value, (int, float)):
timestamp = float(value)
return timestamp / 1000 if timestamp > 10_000_000_000 else timestamp
if hasattr(value, 'timestamp'):
return float(value.timestamp())
return 0.0

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apiVersion: v1
kind: MessagePlatformAdapter
metadata:
name: dingtalk-eba
label:
en_US: DingTalk (EBA)
zh_Hans: 钉钉 (EBA)
zh_Hant: 釘釘 (EBA)
description:
en_US: DingTalk adapter (EBA architecture)
zh_Hans: 钉钉适配器EBA 架构版本)
zh_Hant: 釘釘適配器EBA 架構版本)
icon: dingtalk.svg
spec:
categories:
- china
help_links:
zh: https://link.langbot.app/zh/platforms/dingtalk
en: https://link.langbot.app/en/platforms/dingtalk
ja: https://link.langbot.app/ja/platforms/dingtalk
config:
- name: client_id
label:
en_US: Client ID
zh_Hans: 客户端ID
zh_Hant: 用戶端ID
type: string
required: true
default: ""
- name: client_secret
label:
en_US: Client Secret
zh_Hans: 客户端密钥
zh_Hant: 用戶端密鑰
type: string
required: true
default: ""
- name: robot_code
label:
en_US: Robot Code
zh_Hans: 机器人代码
zh_Hant: 機器人代碼
type: string
required: true
default: ""
- name: robot_name
label:
en_US: Robot Name
zh_Hans: 机器人名称
zh_Hant: 機器人名稱
type: string
required: true
default: ""
- name: markdown_card
label:
en_US: Markdown Card
zh_Hans: 是否使用 Markdown 卡片
zh_Hant: 是否使用 Markdown 卡片
type: boolean
required: false
default: true
- name: enable-stream-reply
label:
en_US: Enable Stream Reply Mode
zh_Hans: 启用钉钉卡片流式回复模式
zh_Hant: 啟用釘釘卡片串流回覆模式
description:
en_US: If enabled, the bot will use DingTalk card streaming replies.
zh_Hans: 如果启用,将使用钉钉卡片流式方式来回复内容
zh_Hant: 如果啟用,將使用釘釘卡片串流方式來回覆內容
type: boolean
required: true
default: false
- name: card_auto_layout
label:
en_US: Card Auto Layout
zh_Hans: 卡片宽屏自动布局
zh_Hant: 卡片寬螢幕自動佈局
type: boolean
required: false
default: false
- name: card_template_id
label:
en_US: Card Template ID
zh_Hans: 卡片模板ID
zh_Hant: 卡片範本ID
type: string
required: true
default: "填写你的卡片template_id"
supported_events:
- message.received
- platform.specific
supported_apis:
required:
- send_message
- reply_message
optional:
- get_message
- get_group_info
- get_group_list
- get_group_member_info
- get_user_info
- get_friend_list
- get_file_url
- call_platform_api
platform_specific_apis:
- action: check_access_token
description: { en_US: "Check whether the current DingTalk access token is usable", zh_Hans: "检查当前钉钉 access token 是否可用" }
- action: refresh_access_token
description: { en_US: "Refresh the DingTalk access token", zh_Hans: "刷新钉钉 access token" }
- action: get_file_url
description: { en_US: "Resolve a DingTalk download code to a file URL", zh_Hans: "将钉钉 downloadCode 解析为文件 URL" }
- action: get_audio_base64
description: { en_US: "Download DingTalk audio as base64 by download code", zh_Hans: "通过 downloadCode 下载钉钉语音并转为 base64" }
- action: download_image_base64
description: { en_US: "Download DingTalk image as base64 by download code", zh_Hans: "通过 downloadCode 下载钉钉图片并转为 base64" }
execution:
python:
path: ./adapter.py
attr: DingTalkAdapter

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from __future__ import annotations
import datetime
import typing
from langbot.libs.dingtalk_api.dingtalkevent import DingTalkEvent
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
from langbot_plugin.api.entities.builtin.platform import message as platform_message
class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
@staticmethod
def _format_image_as_markdown(msg: platform_message.Image) -> str:
if msg.url:
return f'\n![image]({msg.url})\n'
if msg.base64:
if msg.base64.startswith('data:'):
return f'\n![image]({msg.base64})\n'
return f'\n![image](data:image/png;base64,{msg.base64})\n'
return ''
@staticmethod
def _component_text_fallback(component: platform_message.MessageComponent) -> str:
if isinstance(component, platform_message.At):
return f'@{component.display or component.target}'
if isinstance(component, platform_message.AtAll):
return '@所有人'
if isinstance(component, platform_message.File):
if component.url:
return f'\n[{component.name or "file"}]({component.url})\n'
return f'\n[File]{component.name or component.id or "file"}\n'
if isinstance(component, platform_message.Voice):
return component.url or '[Voice]'
if isinstance(component, platform_message.Face):
return str(component)
if isinstance(component, platform_message.Unknown):
return component.text
return str(component)
@staticmethod
async def yiri2target(
message_chain: platform_message.MessageChain,
markdown_enabled: bool = True,
) -> tuple[str, bool]:
content = ''
at = False
for msg in message_chain:
if isinstance(msg, platform_message.Source):
continue
if isinstance(msg, platform_message.Plain):
content += msg.text
elif isinstance(msg, platform_message.At):
at = True
content += DingTalkMessageConverter._component_text_fallback(msg)
elif isinstance(msg, platform_message.AtAll):
content += DingTalkMessageConverter._component_text_fallback(msg)
elif isinstance(msg, platform_message.Image):
if markdown_enabled:
content += DingTalkMessageConverter._format_image_as_markdown(msg)
else:
content += '[Image]'
elif isinstance(msg, platform_message.File):
content += DingTalkMessageConverter._component_text_fallback(msg)
elif isinstance(msg, platform_message.Voice):
content += DingTalkMessageConverter._component_text_fallback(msg)
elif isinstance(msg, platform_message.Quote):
if msg.id is not None:
content += f'[引用消息 {msg.id}] '
if msg.origin:
quote_content, quote_at = await DingTalkMessageConverter.yiri2target(msg.origin, markdown_enabled)
content += quote_content
at = at or quote_at
elif isinstance(msg, platform_message.Forward):
for node in msg.node_list:
sender = node.sender_name or node.sender_id or ''
if sender:
content += f'\n[{sender}] '
if node.message_chain:
forwarded_content, forwarded_at = await DingTalkMessageConverter.yiri2target(
node.message_chain, markdown_enabled
)
content += forwarded_content
at = at or forwarded_at
else:
content += DingTalkMessageConverter._component_text_fallback(msg)
return content, at
@staticmethod
async def target2yiri(event: DingTalkEvent, bot_name: str) -> platform_message.MessageChain:
incoming_message = event.incoming_message
components: list[platform_message.MessageComponent] = [
platform_message.Source(
id=getattr(incoming_message, 'message_id', ''),
time=DingTalkMessageConverter._message_time(incoming_message),
)
]
for at_user in getattr(incoming_message, 'at_users', []) or []:
if getattr(at_user, 'dingtalk_id', None) == getattr(incoming_message, 'chatbot_user_id', None):
components.append(platform_message.At(target=bot_name, display=bot_name))
rich_content = event.rich_content
if rich_content:
for element in rich_content.get('Elements') or []:
if element.get('Type') == 'text':
text = DingTalkMessageConverter._strip_bot_mention(element.get('Content', ''), bot_name)
if text.strip():
components.append(platform_message.Plain(text=text))
elif element.get('Type') == 'image' and element.get('Picture'):
components.append(platform_message.Image(base64=element['Picture']))
else:
if event.content and event.type != 'audio':
components.append(
platform_message.Plain(
text=DingTalkMessageConverter._strip_bot_mention(event.content, bot_name),
)
)
if event.picture:
components.append(platform_message.Image(base64=event.picture))
if event.file:
components.append(platform_message.File(url=event.file, name=event.name or 'file'))
if event.audio:
if event.content and event.type == 'audio':
components.append(platform_message.Plain(text=event.content))
else:
components.append(platform_message.Voice(base64=event.audio))
quote = DingTalkMessageConverter._quote_component(event)
if quote:
components.append(quote)
return platform_message.MessageChain(components)
@staticmethod
def _quote_component(event: DingTalkEvent) -> platform_message.Quote | None:
quote_info = event.quoted_message
if not quote_info:
return None
origin_components: list[platform_message.MessageComponent] = []
msg_type = quote_info.get('msg_type', '')
if msg_type == 'file' and quote_info.get('file_url'):
origin_components.append(
platform_message.File(url=quote_info['file_url'], name=quote_info.get('file_name', 'file'))
)
elif msg_type == 'picture' and quote_info.get('picture'):
origin_components.append(platform_message.Image(base64=quote_info['picture']))
elif msg_type == 'audio' and quote_info.get('audio'):
origin_components.append(platform_message.Voice(base64=quote_info['audio']))
elif quote_info.get('content'):
origin_components.append(platform_message.Plain(text=str(quote_info['content'])))
incoming_message = event.incoming_message
return platform_message.Quote(
id=quote_info.get('message_id') or None,
group_id=getattr(incoming_message, 'conversation_id', None),
sender_id=quote_info.get('sender_id') or None,
target_id=getattr(incoming_message, 'conversation_id', None)
or getattr(incoming_message, 'sender_staff_id', None),
origin=platform_message.MessageChain(origin_components),
)
@staticmethod
def _strip_bot_mention(text: str, bot_name: str) -> str:
return text.replace('@' + bot_name, '')
@staticmethod
def _message_time(incoming_message: typing.Any) -> datetime.datetime:
value = getattr(incoming_message, 'create_at', None)
if isinstance(value, datetime.datetime):
return value
if isinstance(value, (int, float)):
timestamp = float(value)
if timestamp > 10_000_000_000:
timestamp = timestamp / 1000
return datetime.datetime.fromtimestamp(timestamp)
return datetime.datetime.now()

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from __future__ import annotations
import typing
from langbot.libs.dingtalk_api.api import DingTalkClient
async def check_access_token(bot: DingTalkClient, params: dict) -> dict:
return {'valid': await bot.check_access_token()}
async def refresh_access_token(bot: DingTalkClient, params: dict) -> dict:
await bot.get_access_token()
return {'ok': bool(bot.access_token)}
async def get_file_url(bot: DingTalkClient, params: dict) -> dict:
download_code = params.get('download_code') or params.get('downloadCode') or params.get('file_id')
if not download_code:
raise ValueError('download_code is required')
return {'url': await bot.get_file_url(str(download_code))}
async def get_audio_base64(bot: DingTalkClient, params: dict) -> dict:
download_code = params.get('download_code') or params.get('downloadCode') or params.get('file_id')
if not download_code:
raise ValueError('download_code is required')
return {'base64': await bot.get_audio_url(str(download_code))}
async def download_image_base64(bot: DingTalkClient, params: dict) -> dict:
download_code = params.get('download_code') or params.get('downloadCode') or params.get('file_id')
if not download_code:
raise ValueError('download_code is required')
return {'base64': await bot.download_image(str(download_code))}
PLATFORM_API_MAP: dict[str, typing.Callable[[DingTalkClient, dict], typing.Awaitable[dict]]] = {
'check_access_token': check_access_token,
'refresh_access_token': refresh_access_token,
'get_file_url': get_file_url,
'get_audio_base64': get_audio_base64,
'download_image_base64': download_image_base64,
}

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from __future__ import annotations
ADAPTER_NAME = 'dingtalk'

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from __future__ import annotations
from langbot.pkg.platform.adapters.discord.adapter import DiscordAdapter
__all__ = ['DiscordAdapter']

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