ai-agents-in-action-2nd-edition-cn

This project is the Chinese translation of the second edition of "AI Agents in Action", a practical guide to building and applying agent systems - with the goal of not only creating autonomous entities, but also developing agents that can effectively respond to and solve real-world problems. The book starts with the basic application of large language models (LLM) and gradually delves into the construction of intelligent assistants, multi-agent systems, and autonomous agents. It systematically explains the key components of agent systems: roles, tools and actions, knowledge and memory, retrieval and enhancement, reasoning and planning, evaluation and feedback. The second edition uses five functional layers as the organizational principle and adds new frontier topics such as MCP protocol, test-driven agent development (TDAD), agent loop, cognition and meta-cognition, helping developers build production-level agent systems.