AI Agents in Action, Second Edition: Intelligent Workflows with Llms, McP, A2a, and More
暫譯: AI 代理實戰（第二版）：使用 Llms、McP、A2a 等智能工作流程
Lanham, Micheal
- 出版商: Manning
- 出版日期: 2026-07-14
- 售價: $2,280
- 貴賓價: 9.5 折 $2,166
- 語言: 英文
- 頁數: 392
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1633434532
- ISBN-13: 9781633434530
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相關分類:
Large language model
海外代購書籍(需單獨結帳)
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.
- 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，您將獲得來自 Manning 的免費電子書（PDF 或 ePub），以及訪問線上 liveBook 格式（及其 AI 助手，能以任何語言回答您的問題）的權限。
AI 代理技術正在快速變化！這本由 Micheal Lanham 所著的完全修訂版第二版 AI Agents in Action 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 Agents in Action, Second Edition 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
- 容器化並擴展您的代理 關於本書 AI Agents in Action, Second Edition 為剛開始接觸代理的讀者提供了堅實的基礎，並且還為經驗豐富的 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、使用工具、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現實世界範例，涵蓋了推理框架，如 ReAct 和 Sequential Thinking MCP、先進的 RAG 系統以及多代理協作模式。此外，您還會找到來自 Micheal Lanham 廣泛 AI 職業生涯的豐富提示、技巧和最佳實踐建議。 關於讀者 針對中級 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。他曾撰寫有關深度學習的書籍，包括 Manning 的 Evolutionary Deep Learning。
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，服務於各種產業。在千禧年之際，Micheal 開始在遊戲開發中使用神經網路和進化演算法。
