{ "item_title" : "Agent-to-Agent Communication", "item_author" : [" Lynne Blake "], "item_description" : "Unlock the next generation of AI engineering with modern, stateful, and production-ready multi-agent systems.As LLMs evolve beyond single-step reasoning, companies are shifting toward collaborative AI agents that can plan, coordinate, correct each other, and run reliably for hours or days. Agent-to-Agent Communication is a practical, end-to-end guide to building these systems using LangGraph, the Model Context Protocol (MCP), and modern LLM workflows.Whether you're an AI engineer, developer, researcher, or team lead, this book shows you exactly how to design, debug, deploy, and scale multi-agent architectures used in real production environments.What You'll LearnBuild modern agent architecturesMove beyond single-agent ReAct loopsDesign persistent, parallel, long-running workflowsStructure systems with nodes, states, supervisors, and shared memoryMaster LangGraphStateGraph, MessageGraph, and Pregel-based modelsStreaming, events, interrupts, and human-in-the-loop flowsCheckpointers, persistence, and time-travel debuggingUse MCP for real interoperabilityVendor-neutral tool callingCross-model communication (OpenAI, Anthropic, Gemini, Llama, Mistral, etc.)Build and deploy production MCP serversImplement production-grade patternsHierarchical supervisorsVoting, debate, and reflection loopsBlackboard and message-passing systemsPeer-to-peer agent networksFailure simulation, observability, and debuggingDeploy at scaleContainerization and KubernetesCost optimization and cachingRate limiting, backpressure, resilienceWho This Book Is ForAI/ML Engineers building advanced LLM systemsSoftware developers adding intelligent automationTechnical founders and product teamsResearchers exploring agent collaborationAnyone moving from prompts → full AI systemsNo hype-just real architectures, real patterns, and real code that runs today.Why This Book MattersMulti-agent systems represent a phase shift in what AI can do. With vendor-neutral protocols like MCP, robust frameworks like LangGraph, and modern LLMs, developers can finally build AI teams that are persistent, reliable, and collaborative.This book gives you every tool, pattern, and workflow you need-end to end.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/827/785/9798277856741_b.jpg", "price_data" : { "retail_price" : "22.99", "online_price" : "22.99", "our_price" : "22.99", "club_price" : "22.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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