Designing Multi-Agent Systems

□ I. THÔNG TIN SẢN PHẨM
□ Mã sản phẩm : STT1759
□ Nhà xuất bản : Victor Dibia
□ Tác giả : Victor Dibia
□ Ngôn ngữ : Tiếng Anh
□ ISBN : 9798993101200
□ Số trang : 398 trang
□ Hình thức : Bìa Mềm, RUỘT IN ĐEN TRẮNG, BÌA IN MẪU LASER GIẤY C300 CÓ CÁN
□ Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
□ Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và highlight thoải mái.
□ Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

□ II. MÔ TẢ SẢN PHẨM
□ 1.Mô tả sản phẩm đầy đủ
Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents is a comprehensive, engineering-focused guide that explores the architecture and implementation of collaborative AI systems. As Large Language Models (LLMs) continue to advance, the focus is shifting from single-prompt interactions to complex, multi-agent workflows. This book, written by Victor Dibia, a Principal Research Software Engineer at Microsoft Research and a core maintainer of the AutoGen framework, provides the mental models and technical foundations necessary to build reliable, scalable, and human-centered agentic applications. The book takes a unique first-principles approach. Instead of merely teaching specific high-level frameworks, Dibia guides readers through building a feature-complete multi-agent library—called picoagents—from scratch. This hands-on method allows developers to understand the internal mechanics of agent memory, tool interfaces, message routing, and autonomous orchestration patterns. By implementing these core components, readers gain the insight needed to effectively use and build advanced frameworks like AutoGen, LangGraph, and CrewAI. Key topics covered include: Multi-Agent Fundamentals, covering core concepts and design patterns for effective agent collaboration and task decomposition; Implementation from Scratch, offering practical guidance on implementing deterministic workflows and autonomous orchestration; Evaluation & Reliability, focusing on trajectory-based testing, structured outputs, and performance metrics to ensure agents behave predictably in production environments; UX and Trust, applying human-centered design principles such as interruptibility and transparent decision-making; and Distributed Agent Protocols, exploring emerging protocols like MCP and A2A that enable agents to work across different networks. Whether you are an AI researcher, a software engineer, or a technical leader, Designing Multi-Agent Systems offers a deep dive into the next frontier of AI. It provides the architectural rigor and practical code examples required to transform experimental agent prototypes into robust, production-ready systems. By the end of the book, readers will be equipped to design agentic systems that are not only powerful but also interpretable, safe, and truly useful.

□ 2. Tác giả
Victor Dibia (PhD) is a Principal Research Software Engineer at Microsoft Research and Core AI, where he leads research in human-AI collaboration and AI agents. He is a core contributor and maintainer of AutoGen, a prominent open-source multi-agent framework, and the creator of AutoGen Studio and LIDA. Victor has published extensively on AI system design and has influenced AI features across several Microsoft products, including Excel and Purview. He holds an MSc from Carnegie Mellon University and a PhD from City University of Hong Kong.