Building a WeChat Smart Chatbot with Python in 16 Lines

In many daily scenarios we cannot reply to messages promptly, especially when handling many business chats; a smart chatbot can automatically respond to messages from customers, group admins, or game scripts, reducing the need for constant manual replies.

The author demonstrates the effect by logging into his own WeChat account and showing that the robot successfully takes over the conversation, providing a screenshot of the chat interaction.

The overall project flow is illustrated with a diagram (omitted here) that outlines the steps from installing dependencies to running the bot.

1. Install and import modules import itchat import requests

Both itchat and requests are required; they can be installed via pip install itchat and pip install requests .

2. Register a Turing chatbot Create a robot on the Turing website, obtain its API key, and note that the free version allows up to 100 messages per day after real‑name verification.

3. Implement the robot function def get_response(msg): apiUrl = "http://www.tuling123.com/openapi/api" # API endpoint data = {'key': KEY, 'info': msg, 'userid': "WeChat-robot"} r = requests.post(apiUrl, data=data) return r["text"]

4. Implement WeChat message handling @itchat.msg_register(itchat.content.TEXT) def tuling_reply(user_data): print(user_data) # raw message user = user_data["Text"] return_user = get_response(user_data["Text"]) print(return_user) return return_user or user

5. QR‑code login and run loop itchat.auto_login() # scan QR code to log in itchat.run() # keep the program running

The complete script contains fewer than 20 lines of code and provides a functional WeChat chatbot that can automatically reply to incoming text messages using the Turing AI service.