{ "item_title" : "Production LLM Architecture", "item_author" : [" Debabrata Acharjee "], "item_description" : "Production LLM ArchitectureA Systems Handbook for Engineers Shipping AIMost LLM systems in production are slower, more expensive, and more complex than they need to be.The gap isn't the model. It's the architecture.Production LLM Architecture is a practical engineering handbook for building production-grade LLM systems that are fast, reliable, and cost-effective. Rather than focusing on prompts or model comparisons, this book examines the engineering decisions that determine whether an AI system succeeds or fails in production.Drawing on more than 26 years of software engineering experience and real-world production deployments, Debabrata Acharjee presents a systematic framework built around six governing laws of production LLM systems. These principles explain why latency grows, costs increase, context windows become inefficient, and orchestration becomes increasingly difficult as systems scale.Inside you'll learn how to: Reduce API costs from $11,000/month to roughly $400/month.Cut response latency from 17 seconds to under 2 seconds.Design efficient context architectures that minimise token waste.Build scalable multi-agent systems and orchestration pipelines.Implement caching, routing, evaluation, and guardrails.Diagnose and prevent 24 production failure modes that emerge at scale.Design AI systems that remain reliable as traffic and complexity increase.This book covers: Inference mechanics and KV cache optimisationContext architecture and information densityPrompt caching and token efficiencyRouting strategies and model selectionAgent orchestration patternsRetrieval and execution architectureEvaluation frameworks and guardrailsObservability, monitoring, and deploymentWhether you're building internal AI copilots, customer-facing AI products, or enterprise AI platforms, this book provides practical techniques, architectural patterns, and engineering trade-offs that can be applied immediately.Who should read this book?Software EngineersStaff and Principal EngineersAI EngineersPlatform EngineersEngineering ManagersTechnical ArchitectsTeams building production AI systemsInside the book: 14 comprehensive chapters75 production-focused code examples62 engineering tables and diagrams24 real-world production failure modesIf you're responsible for moving beyond AI demos and delivering production LLM systems that are fast, scalable, and reliable, Production LLM Architecture provides the engineering principles and practical patterns to help you build them with confidence.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/818/811/9798188112561_b.jpg", "price_data" : { "retail_price" : "49.99", "online_price" : "49.99", "our_price" : "49.99", "club_price" : "49.99", "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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