{"product_id":"b0h4b6783t","title":"LLM Inference Engineering Handbook: Crush API Costs, Cut Latency and Build Reliable Production Systems — Real Benchmarks, Python Code and Complete Code Repository for Engineers at Scale","description":"\u003cp\u003eYour LLM system works. Your API bill doesn't. You've built something that runs. Users are happy. But last month's invoice landed like a punch: thousands of dollars in API costs, response times that spike without warning, and a CFO asking questions you don't have clean answers to.\u003c\/p\u003e\n\n\u003cp\u003eYou're not doing anything wrong. You're just running a system that was never optimized for production reality.\u003c\/p\u003e\n\n\u003cp\u003eThis book fixes that.\u003c\/p\u003e\n\n\u003cp\u003eBased on real benchmarks from production systems running 10,000+ queries per day, LLM Inference Engineering Handbook documents the exact techniques that  reduce API costs by 73% and cut average response time by 57% — without touching quality .\u003c\/p\u003e\n\n\u003cp\u003eEvery number in this book was measured, not estimated.\u003c\/p\u003e\n\n\u003cp\u003eYou'll build a complete optimization stack from scratch:\u003c\/p\u003e\n\n\u003cp\u003eCost profiling  — find exactly where your money goes before optimizing anything\u003c\/p\u003e\n\n\u003cp\u003ePrompt compression  — remove 30-40% of redundant tokens without losing semantic meaning\u003c\/p\u003e\n\n\u003cp\u003eMulti-layer caching  — eliminate 40-70% of API calls with exact match and semantic cache combined\u003c\/p\u003e\n\n\u003cp\u003eModel routing  — send simple queries to fast, cheap models and complex queries to powerful ones, automatically\u003c\/p\u003e\n\n\u003cp\u003eAsync and batching  — increase throughput 4x without changing your logic\u003c\/p\u003e\n\n\u003cp\u003eLatency engineering  — understand TTFT, p99, and why your worst 10% of users define your product's reputation\u003c\/p\u003e\n\n\u003cp\u003eRAG cost optimization  — stop sending 5,000 tokens of context when 800 will do\u003c\/p\u003e\n\n\u003cp\u003eReliability patterns  — retry loops, circuit breakers, and fallback chains that prevent the $4,000 outage bill\u003c\/p\u003e\n\n\u003cp\u003eObservability stack  — monitor cost, latency, and quality drift before users notice\u003c\/p\u003e\n\n\u003cp\u003eProduction playbooks  — step-by-step response guides for cost spikes, latency degradation, and quality regression\u003c\/p\u003e\n\n\u003cp\u003eEvery chapter ships with production-ready Python code and a complete implementation in the companion code repository.  Not pseudocode. Not simplified examples. Code you can run today.\u003c\/p\u003e\n\n\u003cp\u003eThis is not a book about what LLMs are.  It's a book for engineers who already know — and need systems that work at scale without burning budget.\u003c\/p\u003e\n\n\u003cp\u003eIf your LLM system is in production and the economics aren't working yet, this is the book that changes that.\u003c\/p\u003e\n\n\u003cp\u003eThe first technique in Chapter 1 takes 20 minutes to implement. Most engineers see measurable results the same day.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":52834502934744,"sku":"YSL56144","price":17.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0835\/3356\/2072\/files\/61oTruQyDtL._SY1500.jpg?v=1793259985","url":"https:\/\/www.bookmebay.com\/products\/b0h4b6783t","provider":"BookMebay","version":"1.0","type":"link"}