{"product_id":"designing-multi-agent-systems-principles-patterns-and-implementation-for-ai-agents-9798993101200","title":"Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents","description":"\u003cp\u003e\u003cstrong\u003eHow to build applications where multiple AI agents reliably collaborate to solve new types of complex tasks.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn \u003cem\u003eDesigning Multi-Agent Systems\u003c\/em\u003e, you'll take a \u003cem\u003efirst principles\u003c\/em\u003e approach to learn to design and implement \u003cstrong\u003ereliable, agentic applications from scratch\u003c\/strong\u003e, understand why their architectures work, and master \u003cstrong\u003epatterns for collaboration, observability, interruptibility, and trust\u003c\/strong\u003e. These principles remain useful as the ecosystem evolves, giving you the tools to build \u003cstrong\u003escalable, robust, and human-centered agentic systems\u003c\/strong\u003e, whether in research or production.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eInside, you'll explore: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Agent Fundamentals\u003c\/strong\u003e - Core concepts and design patterns for multi-agent collaboration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBuild from Scratch\u003c\/strong\u003e - Step-by-step guidance for implementing agents, tools, as well as deterministic workflows and autonomous orchestration patterns.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEvaluation \u0026amp; Reliability\u003c\/strong\u003e - Learn \u003cstrong\u003etrajectory-based testing, structured outputs, observability, and performance metrics\u003c\/strong\u003e to ensure agents behave predictably.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUX and Trust Principles\u003c\/strong\u003e - Apply human-centered design principles like \u003cstrong\u003einterruptibility, capability discovery, and transparent decision-making\u003c\/strong\u003e to build agents users can rely on.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDistributed Agent Protocols\u003c\/strong\u003e - Learn how protocols like MCP and A2A build enable distributed multi-agent systems that operate across networks, regions, and organizations.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eRather than teaching specific frameworks, this book gives you the mental models and first-principles reasoning through implementing a feature complete picoagents library with the same foundational concepts that power today's most capable multi-agent frameworks - from AutoGen and LangGraph to CrewAI and beyond. You'll come away able to design agentic systems that remain robust and useful as the ecosystem evolves.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePraise for the Book\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\"As a researcher at Microsoft who is close to the leading edge of Agentic capabilities, works with Microsoft customers on real world applications, and with the Autogen team on building the agent framework, Victor has a unique vantage point. He uses it to provide an exceptionally clear conceptual explanation of what agents can do, how to elicit complex behavior in real world applications by using multiple agents, and how to leverage multi agent frameworks. A truly excellent book!\" \u003cstrong\u003e- Valliappa Lakshmanan, Author of Generative AI Design Patterns (O'Reilly), CTO Obin.AI\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the Author\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eVictor Dibia\u003c\/strong\u003e is a Principal Research Software Engineer at Microsoft Research and Core AI. He is the creator of AutoGen Studio (a low-code interface for building multi-agent applications), core contributor and maintainer for AutoGen (a leading open-source multi-agent framework with 50k+ GitHub stars), and creator of LIDA (for automated data visualization). His work bridges AI research, system design, and practical implementation.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e \u003ca href=\"https:\/\/txcorrectionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-18287296\"\u003eVictor Dibia\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Victor Dibia\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/14\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 398\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.02lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 7.50w x 1.08d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9798993101200\u003cbr\u003e\u003cb\u003eBISAC Categories:\u003c\/b\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/txcorrectionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/txcorrectionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM004000\"\u003eArtificial Intelligence | General\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/txcorrectionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/txcorrectionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM014000\"\u003eComputer Science\u003c\/a\u003e\u003cbr\u003e\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Victor Dibia","offers":[{"title":"Default Title","offer_id":53436556083499,"sku":"9798993101200","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0884\/7966\/2379\/files\/img_4fc1a73e-e276-4066-bf25-343d92d443f1.jpg?v=1778869733","url":"https:\/\/www.txcorrectionsbookstore.com\/products\/designing-multi-agent-systems-principles-patterns-and-implementation-for-ai-agents-9798993101200","provider":"TX CorrectionsBookstore","version":"1.0","type":"link"}