wecom-aibot-python-sdk
企业微信智能机器人 Python SDK —— 基于 WebSocket 长连接通道，提供消息收发、流式回复、模板卡片、事件回调、文件下载解密等核心能力。
Decision gist · record as of 2026-08-14
Yes. The SDK is actively maintained, has no known vulnerabilities, uses permissive MIT licensing, and offers low install friction. Install it if you need to build a WeChat Work bot in Python. The async-native design and built-in features (streaming, cards, file decryption, reconnection) make it the natural choice for this use case.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.8 and a valid WeChat Work bot_id and secret from the enterprise WeChat admin console.
- Low friction install with a pure-Python wheel and five well-established async dependencies (websockets, aiohttp, pyee, cryptography, certifi).
- Actively maintained with recent commits and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions—suitable for most projects.
last release 2026-03-23 (144 days) · last repo commit 2026-03-23 · 40 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 159,024 downloads/mo, #10,709 on PyPI
Alternatives
Verify before relying
pip install wecom-aibot-python-sdk
from aibot import WSClient, WSClientOptions
ws_client = WSClient(WSClientOptions(
bot_id='your-bot-id',
secret='your-bot-secret'
))
@ws_client.on('message.text')
async def on_text(frame):
await ws_client.reply_stream(frame, 'stream-id', 'Hello!', True)
ws_client.run()- Whether the SDK handles reconnection and heartbeat automatically without user code intervention.
- Performance characteristics under high message volume or concurrent streams.
- Completeness of error handling and recovery for network failures beyond the documented exponential backoff.
What it is and what it does
wecom-aibot-python-sdk is a Python client for WeChat Work's AI bot API, built on asyncio and WebSocket. It manages long-lived connections to WeChat Work's servers, automatically handles authentication, heartbeat, and reconnection with exponential backoff. The SDK parses incoming messages (text, image, voice, file, mixed) and events (enter chat, template card clicks, user feedback), then routes them to your async event handlers.
You use it to build chatbots and automation agents: listen for incoming messages, send streaming text replies with Markdown support, post template cards, update cards in-place, proactively push messages to users, and download encrypted files. All operations are async/await native, with built-in AES-256-CBC file decryption, pluggable logging, and a serial reply queue that ensures messages for the same request ID are sent in order.
Use it for
- Build a WeChat Work chatbot that streams AI-generated responses with Markdown formatting.
- Send proactive notifications or alerts to users via template cards without waiting for an incoming message.
- Handle file uploads from users, decrypt them server-side, and process or store the contents.
- Respond to user interactions (button clicks on template cards) with follow-up messages or state updates.
- Implement a multi-turn conversation bot that tracks session state and sends welcome messages when users enter a chat.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The SDK is actively maintained, has no known vulnerabilities, uses permissive MIT licensing, and offers low install friction. Install it if you need to build a WeChat Work bot in Python. The async-native design and built-in features (streaming, cards, file decryption, reconnection) make it the natural choice for this use case.
Install
wecom-aibot-python-sdk on PyPI
Before you install
Low friction install with a pure-Python wheel and five well-established async dependencies (websockets, aiohttp, pyee, cryptography, certifi). Actively maintained with recent commits and no known vulnerabilities.
Requires Python >= 3.8 and a valid WeChat Work bot_id and secret from the enterprise WeChat admin console.
License in practice
MIT license permits commercial and private use with minimal restrictions—suitable for most projects.
Quickstart
pip install wecom-aibot-python-sdk
from aibot import WSClient, WSClientOptions
ws_client = WSClient(WSClientOptions(
bot_id='your-bot-id',
secret='your-bot-secret'
))
@ws_client.on('message.text')
async def on_text(frame):
await ws_client.reply_stream(frame, 'stream-id', 'Hello!', True)
ws_client.run()Verify before relying
- Whether the SDK handles reconnection and heartbeat automatically without user code intervention.
- Performance characteristics under high message volume or concurrent streams.
- Completeness of error handling and recovery for network failures beyond the documented exponential backoff.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packageswebsocketsaiohttppyeecryptographycertifi |
| Maintenance | Actively maintained 144 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 159,024 / month, #10,709 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Communications :: ChatTopic :: Software Development :: Libraries :: Python Modules |
Evidence: wecom_aibot_python_sdk-1.0.2-py3-none-any.whl
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