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AI Agents in Action, Second Edition (Intelligent workflows with LLMs, MCP, A2A, and more)
List Price:
$59.99
| Expected release date is Jul 28th 2026 |
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Product Details
Author:
Micheal Lanham
Format:
Paperback
Pages:
325
Publisher:
Manning (July 28, 2026)
Imprint:
Manning
Release Date:
July 28, 2026
Language:
English
ISBN-13:
9781633434530
ISBN-10:
1633434532
Weight:
13.73oz
Dimensions:
7.375" x 9.25"
File:
Eloquence-SimonSchuster_04022026_P9912986_onix30_Complete-20260402.xml
List Price:
$59.99
Pub Discount:
37
Series:
In Action
As low as:
$56.99
Publisher Identifier:
P-SS
Discount Code:
H
Folder:
Eloquence
Overview
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.
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.
