9798181922983 - usb-c for agents: ai agent tool use, function calling, and mcp servers done right di vale, ravi (6 risultati)
- Brossura
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 26,55
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 25,69
EUR 3,83 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 32,00
EUR 61,07 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - The agent is only as good as its tools.You ship production systems. You're new to agents. And the agent that aced every demo just went live and called the refund tool with a customer's order ID in the amount field. It passes garbage arguments, loops forever on an error it can't read, and b…urns ten thousand tokens to do what one function should have handled. You blame the model. It isn't the model.A huge fraction of agent quality lives in the layer most engineers treat as plumbing: the tools you expose and the way you describe them. Get that layer right and an 'average' model becomes a reliable agent. Get it wrong and no frontier model will save you.This hands-on flagship teaches you to build that layer. You will learn how function calling actually works, why MCP won as the open standard, and why a tool description is a user interface that happens to be read by a model. You will design tools for loops, retries, and honest error feedback; run code execution in a sandbox to cut token costs by orders of magnitude on measured workloads; and ship audit trails, provenance, and an autonomy slider that earns trust. You will face the real tradeoff head-on: every guardrail you add to make a tool safe also narrows what the agent may do alone.Written by an engineer learning this frontier in the open against retail-scale systems, APIs, and messy data, it turns integration from afterthought into your unfair advantage. Stop tuning prompts. Start engineering the connection. Build agents that work on the first call.Read chapter one free with Look Inside.Part of the Build Agents You Can Trust series, in The Verifier's Library.
- Brossura
- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 24,95
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Print on Demand.
- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 28,19
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The agent is only as good as its tools.You ship production systems. You're new to agents. And the agent that aced every demo just went live and called the refund tool with a customer's order ID in the amount field. It passes garbage arguments, loops forever on an error it can't read, and bu…rns ten thousand tokens to do what one function should have handled. You blame the model. It isn't the model.A huge fraction of agent quality lives in the layer most engineers treat as plumbing: the tools you expose and the way you describe them. Get that layer right and an "average" model becomes a reliable agent. Get it wrong and no frontier model will save you.This hands-on flagship teaches you to build that layer. You will learn how function calling actually works, why MCP won as the open standard, and why a tool description is a user interface that happens to be read by a model. You will design tools for loops, retries, and honest error feedback; run code execution in a sandbox to cut token costs by orders of magnitude on measured workloads; and ship audit trails, provenance, and an autonomy slider that earns trust. You will face the real tradeoff head-on: every guardrail you add to make a tool safe also narrows what the agent may do alone.Written by an engineer learning this frontier in the open against retail-scale systems, APIs, and messy data, it turns integration from afterthought into your unfair advantage. Stop tuning prompts. Start engineering the connection. Build agents that work on the first call.Read chapter one free with Look Inside.Part of the Build Agents You Can Trust series, in The Verifier's Library. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 29,39
EUR 43,12 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The agent is only as good as its tools.You ship production systems. You're new to agents. And the agent that aced every demo just went live and called the refund tool with a customer's order ID in the amount field. It passes garbage arguments, loops forever on an error it can't read, and bu…rns ten thousand tokens to do what one function should have handled. You blame the model. It isn't the model.A huge fraction of agent quality lives in the layer most engineers treat as plumbing: the tools you expose and the way you describe them. Get that layer right and an "average" model becomes a reliable agent. Get it wrong and no frontier model will save you.This hands-on flagship teaches you to build that layer. You will learn how function calling actually works, why MCP won as the open standard, and why a tool description is a user interface that happens to be read by a model. You will design tools for loops, retries, and honest error feedback; run code execution in a sandbox to cut token costs by orders of magnitude on measured workloads; and ship audit trails, provenance, and an autonomy slider that earns trust. You will face the real tradeoff head-on: every guardrail you add to make a tool safe also narrows what the agent may do alone.Written by an engineer learning this frontier in the open against retail-scale systems, APIs, and messy data, it turns integration from afterthought into your unfair advantage. Stop tuning prompts. Start engineering the connection. Build agents that work on the first call.Read chapter one free with Look Inside.Part of the Build Agents You Can Trust series, in The Verifier's Library. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
