本项目是《AI Agents in Action》第二版的中文译本,是一本智能体系统构建与应用的实战指南——目标不止于打造自主实体,更在于开发能够切实应对并解决现实问题的智能体。 全书从大语言模型(LLM)的基础应用出发,逐步深入到智能助手、多智能体系统与自主智能体的构建,系统讲解智能体系统的关键组成部分:角色、工具与行动、知识与记忆、检索与增强、推理与规划、评估与反馈。第二版将五个功能层作为组织原则,并新增 MCP 协议、测试驱动的智能体开发(TDAD)、智能体循环、认知与元认知等前沿主题,帮助开发者构建生产级智能体系统。
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