{"product_id":"agentic-architectural-patterns-for-building-multi-agent-systems","title":"Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems by Dr. Ali Arsanjani , Juan Pablo Bustos","description":"\u003ch2\u003eAgentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems by Dr. Ali Arsanjani, Juan Pablo Bustos\u003c\/h2\u003e\n\u003cp data-path-to-node=\"4\"\u003eThe book addresses the fundamental challenge facing modern AI engineering: \u003cb data-path-to-node=\"4\" data-index-in-node=\"75\"\u003eLarge Language Models (LLMs) are stochastic (probabilistic), but enterprise software must be deterministic (reliable).\u003c\/b\u003e The authors argue that reliability in generative AI is primarily an \u003ci data-path-to-node=\"4\" data-index-in-node=\"262\"\u003earchitectural property\u003c\/i\u003e rather than a model property.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"7,0,0\"\u003e\u003cb data-path-to-node=\"7,0,0\" data-index-in-node=\"0\"\u003eThe GenAI Maturity Model:\u003c\/b\u003e A structured framework helping organizations benchmark their current AI capabilities and navigate a clear technical path toward fully autonomous agentic workflows.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"7,1,0\"\u003e\u003cb data-path-to-node=\"7,1,0\" data-index-in-node=\"0\"\u003eAgent-Ready LLMs:\u003c\/b\u003e Strict criteria for selecting, optimizing, and deploying foundational models specifically for agentic environments, alongside the emergence of \u003cb data-path-to-node=\"7,1,0\" data-index-in-node=\"161\"\u003eAgentOps\u003c\/b\u003e and \u003cb data-path-to-node=\"7,1,0\" data-index-in-node=\"174\"\u003eLLMOps\u003c\/b\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"7,1,0\"\u003e\u003cb data-path-to-node=\"7,2,0\" data-index-in-node=\"0\"\u003eThe Three-Layer Agentic Stack:\u003c\/b\u003e Introducing the layers required for modern distributed intelligence: Function Calling, Tool Protocols (such as Model Context Protocol \/ MCP), and \u003cb data-path-to-node=\"7,2,0\" data-index-in-node=\"177\"\u003eAgent-to-Agent (A2A)\u003c\/b\u003e collaboration networks.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-path-to-node=\"7,1,0\"\u003eAs organizations move away from simple chat interfaces and try to build autonomous AI systems, \u003ci data-path-to-node=\"16\" data-index-in-node=\"95\"\u003eAgentic Architectural Patterns\u003c\/i\u003e provides the formal software engineering discipline that the field heavily lacks.\u003c\/p\u003e\n\u003cp data-path-to-node=\"18\"\u003eMany developers build agent systems using loose, highly unpredictable prompt loops that fail under real-world conditions. Dr. Arsanjani—frequently recognized as the \"father of Service-Oriented Architecture (SOA)\"—uses his decades of enterprise software experience to bring classic, loose-coupling architectural patterns to LLMs, transforming unpredictable prompt engineering into predictable software infrastructure.\u003c\/p\u003e\n\u003cp data-path-to-node=\"20\"\u003eThe book is one of the earliest technical volumes to fully map out and codify the \u003cb data-path-to-node=\"20\" data-index-in-node=\"82\"\u003eAgent-to-Agent (A2A) protocol\u003c\/b\u003e. Rather than building massive, monolithic agents that try to perform every corporate task (and fail due to context window limitations), the text establishes the blueprints for running distributed, specialized networks of micro-agents that communicate, negotiate, and allocate resources just like modern microservice architectures.\u003c\/p\u003e\n\u003cp data-path-to-node=\"22\"\u003eFor industries like banking, healthcare, and insurance, fully autonomous AI introduces massive legal, data safety, and compliance risks. This book is widely celebrated because it does not ignore these problems; it dedicates entire chapters to compliance patterns like \u003ci data-path-to-node=\"22\" data-index-in-node=\"268\"\u003eInstruction Fidelity Auditing\u003c\/i\u003e and \u003ci data-path-to-node=\"22\" data-index-in-node=\"302\"\u003ePersistent Instruction Anchoring\u003c\/i\u003e, ensuring that agents remain strictly bounded within corporate compliance rules while retaining their problem-solving autonomy.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eLanguage: English.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGenre: Applied Artificial Intelligence.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eBinding: সেলাই করা বাইন্ডিং\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eQuality: Premium Quality Books.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePrinting: High Quality Printing.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePaper: Eye Friendly paper (Cream White)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eCover: Matt cover (Paperback).\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Royal Books BD","offers":[{"title":"Default Title","offer_id":47234614755513,"sku":null,"price":490.0,"currency_code":"BDT","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0780\/0874\/6169\/files\/Agentic_Architectural_Patterns_for_Building_Multi-Agent_Systems.jpg?v=1779387250","url":"https:\/\/royalbooksbd.com\/products\/agentic-architectural-patterns-for-building-multi-agent-systems","provider":"Royal Books BD","version":"1.0","type":"link"}