Build a WeChat Smart Chatbot in 16 Lines of Python – Step‑by‑Step Guide

Effect

After logging in with my own WeChat account, the chatbot takes over the conversation and responds intelligently, as demonstrated in the screenshots below.

Project Idea

The overall architecture consists of a WeChat client (ItChat) that receives messages, forwards them to the Turing chatbot API, and returns the reply to the user.

Code Analysis

1. Install and import modules

The project relies on the itchat and requests libraries. Install them via pip install itchat requests and import them in the script.

import itchat</code><code>import requests

2. Apply for a Turing chatbot

Register on the Turing website, create a robot, and obtain its unique API key. The free version requires real‑name verification and allows up to 100 messages per day.

3. Implement the chatbot function

Define a function that sends the user’s message to the Turing API and returns the reply.

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

4. Implement the WeChat message handler

Use the @itchat.msg_register(itchat.content.TEXT) decorator to capture incoming text messages, call the chatbot function, and send the reply back.

@itchat.msg_register(itchat.content.TEXT)
def tuling_reply(user_data):
    print(user_data)  # raw message data
    user_msg = user_data["Text"]
    reply = get_response(user_msg)
    print(reply)
    return reply or user_msg

5. QR code login and run loop

When the program starts, it displays a QR code for WeChat login and then keeps running to handle messages continuously.

itchat.auto_login()  # scan QR code to log in
itchat.run()         # keep the program alive

The complete solution consists of fewer than 20 lines of code and provides a functional WeChat intelligent chatbot.