AI Agents in Action, Second Edition: Intelligent Workflows with Llms, McP, A2a, and More, 2/e (Paperback)
暫譯: AI 代理實戰（第二版）：使用 Llms、McP、A2a 等智能工作流程，2/e（平裝本）
Lanham, Micheal
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商品描述
Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
AI agent technology is changing fast! This totally revised Second Edition of AI Agents in Action by Micheal Lanham guides you through the latest breakthroughs in large language model (LLM)-powered autonomy, from the Model Context Protocol (MCP) to advanced multi-agent collaboration and deployment.
Whether you're upgrading your customer service systems, creating a research assistant, or deploying a fleet of internal agents to automate enterprise tasks, this hands-on guide will help you build trustworthy agents that can handle high-stakes tasks. Extensively revised, this second edition contains new chapters on MCP, containerized deployment, and voice agent orchestration, along with refreshed coverage of LangChain, Prompt Flow, CrewAI, and more.
In AI Agents in Action, Second Edition you'll learn how to:
- Design and deploy production-grade autonomous agents
- Use MCP, the OpenAI Assistants API, and tools to build adaptable systems
- Take advantage of retrieval-augmented memory, feedback loops, and self-improving behaviors
- Orchestrate voice and vision-enabled agents
- Containerize and scale your agents
About the book
AI Agents in Action, Second Edition provides a solid foundation for readers just starting with agents, and it also introduces more advanced techniques and tools for experienced AI developers. You'll work through the core layers of an agentic system, including prompt engineering, working with tools, reasoning and planning, knowledge and memory, evaluation, and feedback patterns. Each chapter combines practical, real-world examples that cover reasoning frameworks like ReAct and Sequential Thinking MCP, advanced RAG systems, and multi-agent collaboration patterns. Plus, you'll find extensive tips, tricks, and best practice advice taken from Micheal Lanham's extensive AI career.
About the reader
For intermediate Python programmers.
About the author
Micheal Lanham is a software and technology innovator with over 20 years of industry experience. He has authored books on deep learning, including Manning's Evolutionary Deep Learning.
商品描述(中文翻譯)
購買印刷書籍時，您將獲得Manning提供的免費電子書（PDF或ePub），以及在線liveBook格式的訪問權限（及其AI助手，能以任何語言回答您的問題）。
AI代理技術正在快速變化！這本由Micheal Lanham撰寫的《AI代理實戰（第二版）》經過全面修訂，將引導您了解大型語言模型（LLM）驅動的自主性最新突破，從模型上下文協議（Model Context Protocol, MCP）到先進的多代理協作和部署。
無論您是升級客戶服務系統、創建研究助手，還是部署一組內部代理以自動化企業任務，這本實用指南將幫助您構建可以處理高風險任務的可信代理。這第二版經過廣泛修訂，包含有關MCP、容器化部署和語音代理編排的新章節，以及對LangChain、Prompt Flow、CrewAI等的更新內容。
在《AI代理實戰（第二版）》中，您將學習如何：
- 設計和部署生產級自主代理
- 使用MCP、OpenAI Assistants API和工具來構建可適應的系統
- 利用檢索增強記憶、反饋循環和自我改進行為
- 編排語音和視覺啟用的代理
- 將您的代理容器化並擴展
關於本書
《AI代理實戰（第二版）》為剛開始接觸代理的讀者提供了堅實的基礎，同時也為經驗豐富的AI開發者介紹了更高級的技術和工具。您將深入了解代理系統的核心層，包括提示工程、工具使用、推理與規劃、知識與記憶、評估和反饋模式。每一章都結合了實際的真實世界範例，涵蓋了推理框架，如ReAct和Sequential Thinking MCP、高級RAG系統以及多代理協作模式。此外，您還會找到來自Micheal Lanham豐富AI職業生涯的廣泛提示、技巧和最佳實踐建議。
關於讀者
適合中級Python程式設計師。
關於作者
Micheal Lanham是一位擁有超過20年行業經驗的軟體和技術創新者。他撰寫了有關深度學習的書籍，包括Manning的《進化深度學習》。
作者簡介
Micheal Lanham is a proven software and tech innovator with over 20 years of experience. He has developed a broad range of software applications in areas such as games, graphics, web, desktop, engineering, artificial intelligence, GIS, and machine learning applications for a variety of industries. At the turn of the millennium, Micheal began working with neural networks and evolutionary algorithms in game development.
作者簡介(中文翻譯)
Micheal Lanham 是一位經驗豐富的軟體和科技創新者，擁有超過 20 年的經驗。他在遊戲、圖形、網頁、桌面、工程、人工智慧、地理資訊系統 (GIS) 和機器學習應用等多個領域開發了廣泛的軟體應用。進入千禧年之際，Micheal 開始在遊戲開發中使用神經網路和進化演算法。
