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Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents

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Livraison entre le Jeudi 10 septembre 2026 et le Vendredi 11 septembre 2026

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Marque : GENERIC
Vendu par HEAVENBOOKS.MA

How to build applications where multiple AI agents reliably collaborate to solve new types of complex tasks.In Designing Multi-Agent Systems, you'll take a first principles approach to learn to design and implement reliable, agentic applications from scratch, understand why their architectures work, and master patterns for collaboration, observabil...

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Description produit

Marque
GENERIC
Titre
Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents
Type de produit
paperback
Présentation du livre
paperback
Date de sortie
11/12/2025 12:00:00 AM
Langue d'origine
English
ISBN
8673837529
Nombre de pages
394 pages
Langue
English
Résumé
How to build applications where multiple AI agents reliably collaborate to solve new types of complex tasks.In Designing Multi-Agent Systems, you'll take a first principles approach to learn to design and implement reliable, agentic applications from scratch, understand why their architectures work, and master patterns for collaboration, observability, interruptibility, and trust. These principles remain useful as the ecosystem evolves, giving you the tools to build scalable, robust, and human-centered agentic systems, whether in research or production.Inside, you’ll explore:Multi-Agent Fundamentals — Core concepts and design patterns for multi-agent collaborationBuild from Scratch — Step-by-step guidance for implementing agents, tools, as well as deterministic workflows and autonomous orchestration patterns.Evaluation & Reliability — Learn trajectory-based testing, structured outputs, observability, and performance metrics to ensure agents behave predictably.UX and Trust Principles — Apply human-centered design principles like interruptibility, capability discovery, and transparent decision-making to build agents users can rely on.Distributed Agent Protocols — Learn how protocols like MCP and A2A build enable distributed multi-agent systems that operate across networks, regions, and organizations.Rather 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.Praise for the Book"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 use
Auteur
Victor Dibia
Date de parution
11/12/2025 12:00:00 AM