9798180216564 - agentic ai architecture: visual blueprints for designing secure ai agents, mcp tool workflows, a2a collaboration, and react reasoning systems de mclucas, cameron (4 resultados)

- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 41,49
Envío por EUR 62,64Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware.

- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 29,73
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.

- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 33,58
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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 de…velopers 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.

- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 33,82
Envío por EUR 43,41Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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 de…velopers 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.