Chinese LLM agent tutorials that admit they’re just a start

What it does This repository hosts the code examples for the Chinese book 大模型应用开发 动手做AI Agent. It is a collection of Jupyter notebooks aimed at absolute beginners who want to tinker with LLM-based agents. The README itself spends most of its space advertising the book and related titles rather than explaining the code.

The interesting bit The project’s most unusual feature is its honesty: the description explicitly states these are very simple introductory sketches and actively redirects users to the OpenAI Cookbook and LangChain examples for anything serious. That kind of self-awareness is rare in tutorial repositories.

Key highlights

• Companion code for a Chinese-language introductory book on LLM agents.
• Written in Jupyter Notebook, suggesting a learn-by-running approach.
• Explicitly targets beginners with very simple examples.
• Openly acknowledges the fast-moving field and its own limitations as a high-level outline.
• Points to OpenAI Cookbook and LangChain Example as the next stops.

Caveats

• The README is almost entirely a book advertisement; code details are absent.
• The author admits the examples are rudimentary and the book is merely a summary.
• You will likely outgrow this material quickly if you already know how to call an LLM API.

Verdict Grab this if you are a Mandarin-speaking developer taking your very first steps with AI agents and want a guided notebook experience. Skip it if you are looking for production patterns or advanced orchestration; the README itself tells you where to go instead.