{"title":"Murali Kashaboina","description":"\u003cp\u003eMurali Kashaboina's works delve into the forefront of \u003cstrong\u003eComputing \u0026amp; Technology\u003c\/strong\u003e, offering readers insightful explorations of advanced topics such as multi-agent AI systems. His books provide a practical perspective on complex technological concepts, making them invaluable for professionals and enthusiasts seeking to deepen their understanding of contemporary artificial intelligence applications.\u003c\/p\u003e\n\n\u003cp\u003eFocused on real-world systems and implementations, Kashaboina's writings combine technical rigour with accessible explanations. Whether navigating collaborative AI or cutting-edge computational methods, readers can expect clear guidance complemented by in-depth analysis.\u003c\/p\u003e","products":[{"product_id":"practical-multi-agent-ai-systems-by-murali-kashaboina-9781394418497","title":"Practical Multi-Agent AI Systems","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cstrong\u003eBuild production-grade multi-agent AI systems with LangChain, LangGraph, and MCP\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003ePractical Multi-Agent AI Systems: How to Architect, Build, and Scale Next-Generation AI Systems That Work in the Real World\u003c\/em\u003e walks through a complete, production-grade multi-agent system as a continuous project example. Using LangChain, LangGraph, MCP, A2A, and language models from OpenAI, Anthropic, and Amazon Bedrock, the book covers knowledge retrieval, personalised response generation, escalation orchestration, error handling, controls to secure multi-agent AI systems, integration testing and model evaluations, and deployment considerations with real, runnable code designed for practitioners.\u003c\/p\u003e\n\n\u003cp\u003eEach chapter pairs architectural insights with hands-on implementation, covering patterns including ReAct, Supervisor-Driven Network, Hierarchical Network, Tree-Of-Thought, Chain-Of-Agents, Sequential Orchestration, Semantic Consensus, Hand-Off Orchestration, and Magentic Orchestration. All code examples are available through an online source code repository, allowing readers to clone, run, and experiment with the full solution as they progress.\u003c\/p\u003e\n\n\u003cp\u003eYou'll also discover:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eAI-driven planning, reasoning, and orchestration strategies purpose-built to fine-tune multi-agent behaviour, optimise system performance, and ensure reliable execution in production environments\u003c\/li\u003e\n  \u003cli\u003eSystem prompt engineering, role definition, actions and tools selection, and memory management techniques specific to multi-agent architectures\u003c\/li\u003e\n  \u003cli\u003eContext engineering approaches for precise and concise context tuning that directly affect agent output quality and reliability\u003c\/li\u003e\n  \u003cli\u003eArchitectural decision guidance for choosing the right mix of orchestration patterns to fit specific real-world use cases\u003c\/li\u003e\n  \u003cli\u003eComprehensive observability and real-time monitoring of end-to-end agentic AI interactions covering LLM invocations, tool executions, and action flows, enhanced with contextual knowledge graphs and full traceability for production-grade transparency and control\u003c\/li\u003e\n  \u003cli\u003eRobust technologies and enterprise-ready frameworks purpose-built to design, deploy, and scale production-grade multi-agent AI systems with reliability, security, and performance at their core\u003c\/li\u003e\n  \u003cli\u003eFail-safe integration and root cause analysis techniques for diagnosing failures across systems with many moving parts\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eWritten for AI engineers, enterprise architects, software developers, and technical leaders tasked with deploying agent systems, \u003cem\u003ePractical Multi-Agent AI Systems\u003c\/em\u003e delivers the architectural rationale, pattern selection guidance, and runnable code needed to build multi-agent AI solutions that handle real-world complexity at scale.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":48038408978668,"sku":"9781394418497","price":114.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781394418497-practical-multi-agent-ai-systems.jpg?v=1785392683"}],"url":"https:\/\/bookhero.co.nz\/collections\/murali-kashaboina.oembed","provider":"Book Hero","version":"1.0","type":"link"}