{"product_id":"mastering-context-engineering-for-ai-yuan-zhu-9798298226868","title":"Mastering Context Engineering for AI Agents: A Complete Guide to Designing Reliable, Context-Aware, Multi-Agent AI Systems with GPT-4, Claude, LangCha","description":"AI agents are not born intelligent they are engineered to be intelligent. Their true power emerges from \u003ci\u003econtext\u003c\/i\u003e, and mastering context engineering is the difference between a tool that merely responds and an agent that thinks, plans, and evolves.\u003cbr\u003eIn \u003ci\u003eMastering Context Engineering for AI Agents\u003c\/i\u003e, bestselling AI author \u003cb\u003eYuan Zhu\u003c\/b\u003e delivers a definitive, hands-on playbook for building robust, context-driven, memory-enabled, and multi-agent AI systems that work reliably in the real world. This guide takes you far beyond prompt crafting, into the realm of structured, resilient, and production-ready AI architectures.\u003cbr\u003eYou'll learn to harness the combined strengths of \u003cb\u003eGPT-4, Claude, LangChain, LangGraph, RAG pipelines, and the Model Context Protocol (MCP)\u003c\/b\u003e to create AI agents that \u003ci\u003ereason\u003c\/i\u003e, \u003ci\u003eremember\u003c\/i\u003e, \u003ci\u003ecollaborate\u003c\/i\u003e, and \u003ci\u003eself-correct\u003c\/i\u003e.\u003cbr\u003eInside, you'll discover: \u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eThe Context Stack Blueprint\u003c\/b\u003e - How to layer system prompts, role conditioning, tool metadata, and user inputs into coherent, structured agent contexts\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory-Driven Intelligence\u003c\/b\u003e - Implement vector stores, retrieval-augmented generation (RAG), and function calling for deep reasoning without exceeding token limits\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTool-Augmented Reasoning\u003c\/b\u003e - Seamlessly integrate APIs, databases, and external tools into intelligent workflows\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMulti-Agent Orchestration\u003c\/b\u003e - Design agent teams in LangGraph that share context, pass tasks, and execute role-based behavior patterns\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eResilience Engineering\u003c\/b\u003e - Build agents that detect, prevent, and heal hallucinations through reflection chains, constitutional prompting, and automated retries\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMCP in Action\u003c\/b\u003e - Standardize agent context with typed schemas, version control, and cross-platform interoperability\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eObservability \u0026amp; CI\/CD for AI\u003c\/b\u003e - Implement logging, tracing, testing, and continuous updates with LangSmith and MCP tooling\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReal-World Deployments\u003c\/b\u003e - Follow complete blueprints for a memory-rich research assistant, a task-planning multi-agent network, a scoped document summarizer, and a self-healing reflection chain\u003c\/li\u003e\n\u003c\/ul\u003eWhether you're an AI engineer, developer, or researcher, this book equips you to build \u003cb\u003eproduction-grade AI agents\u003c\/b\u003e that move beyond \"prompt-in, answer-out\" and into true context-aware intelligence. Every chapter combines theory, architecture patterns, and fully worked examples so you can apply what you learn immediately.\u003cbr\u003eIf you want to master the \u003cb\u003efuture of AI agent engineering\u003c\/b\u003e where context is not just data, but the foundation of intelligence this is your essential guide.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Yuan Zhu\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798298226868\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/15\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 224\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.87lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.47d","brand":"Yuan Zhu","offers":[{"title":"Paperback","offer_id":48852616708351,"sku":"9798298226868","price":18.5,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/mastering-context-engineering-for-ai-yuan-zhu-9798298226868","provider":"WR Book House","version":"1.0","type":"link"}