Agentic AI Architecture: Visual Blueprints for Designing Secure AI Agents, MCP Tool Workflows, A2A Collaboration, and ReACT Reasoning Systems
Build AI agents that are structured, secure, explainable, and ready for real workflows—not just impressive demos.
AI agents are moving fast, but many developers 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:
This 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798180216564
Quantité disponible : Plus de 20 disponibles
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : 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 developers 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. N° de réf. du vendeur 9798180216564
Quantité disponible : 1 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : 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 developers 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. N° de réf. du vendeur 9798180216564
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware. N° de réf. du vendeur 9798180216564
Quantité disponible : 2 disponible(s)