{"product_id":"designing-agentic-ai-systems-patterns-protocols-and-frameworks-for-langgraph-mcp-and-aut-9798286838233","title":"Designing Agentic AI Systems: Patterns Protocols and Frameworks for LangGraph MCP and Aut","description":"\u003cp\u003e • Author(s): Todd Chandler\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Computers\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFacing the challenge of orchestrating AI agents that think, act, and adapt across multiple services? \"Designing Agentic AI Systems\" delivers a complete blueprint for building autonomous workflows with real-world reliability.\u003c\/p\u003e\u003cp\u003eAt its core, this book reveals how to transform standalone language models into coordinated, goal-driven agents that call external APIs, manage state, and recover from errors. You'll discover proven design patterns (Chapter 2), a standardized Model Context Protocol (MCP) for seamless agent-tool communication (Chapter 3), and hands-on tutorials for LangGraph and AutoGen-two frameworks that turn ideas into production-ready pipelines (Chapters 4-6).\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Master: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eAgent-Driven Workflows: \u003c\/b\u003e Learn task decomposition, dynamic replanning, and error-handling strategies that keep your agents running smoothly, even under failure conditions.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eInteroperable Protocols: \u003c\/b\u003e See how MCP message schemas enable transparent, auditable exchanges between agents and external services, ensuring every API call is logged, validated, and retried if necessary.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eGraph-Based Orchestration with LangGraph: \u003c\/b\u003e Build, test, and deploy stateful workflows (Chapter 4). Define nodes and edges to link LLM reasoning, tool invocation, and memory layers into a cohesive pipeline.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eMulti-Agent Coordination via AutoGen: \u003c\/b\u003e Define roles, create task-handoff scenarios, and share memory across agents (Chapter 5). Implement KV and vector memory layers for persistent context.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003ePerformance and Scalability: \u003c\/b\u003e Explore horizontal versus vertical scaling strategies, GPU batching, and caching techniques to optimize resource usage (Chapter 11).\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eSecurity, Compliance, and Ethics: \u003c\/b\u003e Protect agent-tool communications with authentication and role-based authorization, safeguard sensitive data, and implement bias-detection checks (Chapter 10).\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhether you're an AI engineer, developer, or technical lead, this book equips you with the practical skills and code examples needed to architect agentic AI systems that are robust, scalable, and maintainable.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTake control of your AI workflows today, order \"Designing Agentic AI Systems\" and build autonomous agents your users can trust.\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":46267067302039,"sku":"9798286838233","price":1684.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798286838233.webp?v=1768605203","url":"https:\/\/atlanticbooks.com\/products\/designing-agentic-ai-systems-patterns-protocols-and-frameworks-for-langgraph-mcp-and-aut-9798286838233","provider":"Atlantic Books","version":"1.0","type":"link"}