9798180216564 - agentic ai architecture: visual blueprints for designing secure ai agents, mcp tool workflows, a2a collaboration, and react reasoning systems di mclucas, cameron (4 risultati)
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 41,49
EUR 62,64 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware.
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Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 29,73
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Print on Demand.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 33,58
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Agentic AI Architecture: Visual Blueprints for Designing Secure AI Agents, MCP Tool Workflows, A2A Collaboration, and ReACT Reasoning SystemsBuild AI agents that are structured, secure, explainable, and ready for real workflows-not just impressive demos.AI agents are moving fast, but many d…evelopers and teams still struggle with the same problem: how do ReACT loops, MCP tools, A2A collaboration, safety controls, and production workflows actually fit together?Agentic AI Architecture gives you a practical visual blueprint approach for designing agentic systems before they become messy, risky, or hard to debug. Instead of treating AI agents as black boxes, this book shows how requests move through coordinators, tools, specialist agents, approval gates, observability layers, and deployment boundaries.Inside, you will learn how to design secure AI agents that can reason, call tools, pass tasks between agents, handle errors, preserve traceability, and stay within safer automation limits. The book covers ReACT reasoning systems, MCP tool workflows, Agent-to-Agent collaboration, human-in-the-loop approval, testing, observability, FastAPI packaging, Docker deployment, and production-readiness checks.You will gain practical confidence in: Mapping agent workflows with clear visual blueprintsDesigning reliable tool schemas and MCP serversBuilding multi-agent collaboration patterns with A2A conceptsAdding safety rules, permission boundaries, and approval pointsTesting, tracing, evaluating, and deploying agentic AI systemsThis book is for developers, AI engineers, solution architects, automation builders, technical founders, and product teams who want a clearer way to design agentic AI systems for real applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 33,82
EUR 43,41 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Agentic AI Architecture: Visual Blueprints for Designing Secure AI Agents, MCP Tool Workflows, A2A Collaboration, and ReACT Reasoning SystemsBuild AI agents that are structured, secure, explainable, and ready for real workflows-not just impressive demos.AI agents are moving fast, but many d…evelopers and teams still struggle with the same problem: how do ReACT loops, MCP tools, A2A collaboration, safety controls, and production workflows actually fit together?Agentic AI Architecture gives you a practical visual blueprint approach for designing agentic systems before they become messy, risky, or hard to debug. Instead of treating AI agents as black boxes, this book shows how requests move through coordinators, tools, specialist agents, approval gates, observability layers, and deployment boundaries.Inside, you will learn how to design secure AI agents that can reason, call tools, pass tasks between agents, handle errors, preserve traceability, and stay within safer automation limits. The book covers ReACT reasoning systems, MCP tool workflows, Agent-to-Agent collaboration, human-in-the-loop approval, testing, observability, FastAPI packaging, Docker deployment, and production-readiness checks.You will gain practical confidence in: Mapping agent workflows with clear visual blueprintsDesigning reliable tool schemas and MCP serversBuilding multi-agent collaboration patterns with A2A conceptsAdding safety rules, permission boundaries, and approval pointsTesting, tracing, evaluating, and deploying agentic AI systemsThis book is for developers, AI engineers, solution architects, automation builders, technical founders, and product teams who want a clearer way to design agentic AI systems for real applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
