WeCom KF AI Agent

A minimal WeCom customer-service AI agent demo with callback handling and reply logic.

Definition

WeCom KF AI Agent is a backend demo for receiving WeCom customer-service messages and routing them through a replaceable reply function.

Best for

Builders who need a minimal WeCom customer-service integration before adding a real LLM or business workflow.

Overview

The project keeps the first integration loop intentionally small: receive callbacks, parse events, generate a reply, and send it back. That makes it a good starting point before introducing complex agent memory or production support logic.

Why it matters

Customer-service integrations often fail because the first callback and message loop is harder than expected. This project isolates that loop and leaves the reply logic easy to replace.

What it produces

A working callback path for WeCom customer-service messages.
A simple reply function that can later be replaced with an LLM.
A testable backend skeleton for future customer-service automation.

Workflow

Configure WeCom callback credentials.
Receive and parse incoming customer-service events.
Generate a reply through a small replaceable function.
Send the reply back through the WeCom API.

Next steps

Add deployment notes, security checklist, LLM integration examples, and production limitations.

FAQ

Is this a production customer-service system?

No. It is a minimal integration demo that proves the callback and reply loop before a fuller system is added.

Where does the AI logic live?

The reply generation is intentionally isolated so it can be replaced with an LLM or business-specific agent later.