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Mastering AI Agent Architectures: The Optimized Core: Inference, Context, Caching, and Scheduling Engineering (Mastering AI Agent Architectures — The Styles Series) - Softcover
Book 6 of 7: Mastering AI Agent Architectures ? The Styles Series
Synopsis
Were the verdicts about price, or about architecture? This book finds out.
Books 2–5 found that almost every multi-agent style beats a single agent on accuracy and loses on cost. This book puts a tuned inference core under all 65 styles of the series and switches on, one at a time, the techniques inference engineering offers — then re-runs every style.
- Cost anatomy: every bill split into calls, input tokens, output tokens and roles
- Prompt and KV caching — about a fifth off with no answer changed
- Semantic caching — safe only when tight, and dangerous inside a pipeline
- Batching and offline batch APIs — a clock decision
- Model cascades — the biggest lever, and why verifiers must never be cascaded
- Context compression with measured loss curves
- Draft–verify execution, and why it needs a cache to be cheaper
- Stragglers, hedging, placement and deadline-first scheduling
The tuned decision cards show which verdicts moved — monitoring and the 5× cap — and which did not, because they were structural all along.
Runnable code, frozen and tuned results under three locks at tag gauntlet-b6. Book 6 of 7 in Mastering AI Agent Architectures — The Styles Series.
"synopsis" may belong to another edition of this title.
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Mastering AI Agent Architectures (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. Were the verdicts about price, or about architecture? This book finds out.Books 2-5 found that almost every multi-agent style beats a single agent on accuracy and loses on cost. This book puts a tuned inference core under all 65 styles of the series and switches on, one at a time, the techniques inference engineering offers - then re-runs every style.Cost anatomy: every bill split into calls, input tokens, output tokens and rolesPrompt and KV caching - about a fifth off with no answer changedSemantic caching - safe only when tight, and dangerous inside a pipelineBatching and offline batch APIs - a clock decisionModel cascades - the biggest lever, and why verifiers must never be cascadedContext compression with measured loss curvesDraft-verify execution, and why it needs a cache to be cheaperStragglers, hedging, placement and deadline-first schedulingThe tuned decision cards show which verdicts moved - monitoring and the 5 cap - and which did not, because they were structural all along.Runnable code, frozen and tuned results under three locks at tag gauntlet-b6. Book 6 of 7 in Mastering AI Agent Architectures - The Styles Series. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798175727433
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Mastering AI Agent Architectures
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798175727433
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Mastering AI Agent Architectures
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798175727433
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Mastering AI Agent Architectures : The Optimized Core: Inference, Context, Caching, and Scheduling Engineering
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Mastering AI Agent Architectures (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
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Paperback. Condition: new. Paperback. Were the verdicts about price, or about architecture? This book finds out.Books 2-5 found that almost every multi-agent style beats a single agent on accuracy and loses on cost. This book puts a tuned inference core under all 65 styles of the series and switches on, one at a time, the techniques inference engineering offers - then re-runs every style.Cost anatomy: every bill split into calls, input tokens, output tokens and rolesPrompt and KV caching - about a fifth off with no answer changedSemantic caching - safe only when tight, and dangerous inside a pipelineBatching and offline batch APIs - a clock decisionModel cascades - the biggest lever, and why verifiers must never be cascadedContext compression with measured loss curvesDraft-verify execution, and why it needs a cache to be cheaperStragglers, hedging, placement and deadline-first schedulingThe tuned decision cards show which verdicts moved - monitoring and the 5 cap - and which did not, because they were structural all along.Runnable code, frozen and tuned results under three locks at tag gauntlet-b6. Book 6 of 7 in Mastering AI Agent Architectures - The Styles Series. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798175727433
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