"AutoGen Teams: Designing Multi-Agent Collaboration Patterns That Don't Collapse"
Multi-agent systems promise specialization, delegation, and scale—but in practice they often produce drift, loops, unclear ownership, and runaway cost. This book is written for experienced AI engineers, platform architects, and advanced practitioners who want to build AutoGen teams that behave like reliable systems rather than impressive demos. It assumes readers are past the introductory stage and are now confronting the operational realities of orchestration under pressure.
Across the book, you will learn how modern AutoGen differs from legacy patterns, when a team is justified at all, and how topology choices shape control, visibility, and failure behavior. The text develops a rigorous design discipline around roles, routing, message flow, handoffs, termination, and budget controls, then pushes further into observability, recovery, and custom runtime architecture. The central outcome is practical: you will be able to design multi-agent collaboration patterns that remain bounded, interpretable, and resilient instead of collapsing into conversational chaos.
Rather than treating failures as edge cases, the book places anti-collapse thinking at the center of architecture. It connects built-in team patterns to deeper systems concerns such as ownership semantics, state persistence, tracing, and domain-specific safety policy, making it especially valuable for readers designing production-grade agent systems in rapidly evolving AutoGen environments.
