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{ "item_title" : "Multi-Agent AI Systems Engineering", "item_author" : [" Chatvariety Team "], "item_description" : "Master the Next Frontier of Artificial IntelligenceSingle prompt-response LLMs are no longer enough. The future of enterprise AI lies in Multi-Agent AI Systems Engineering-where specialized, autonomous agents collaborate, manage complex states, use advanced tools, and orchestrate sophisticated workflows to solve real-world problems.This comprehensive, production-grade guide bridges the gap between theoretical AI concepts and enterprise-ready deployment. You will learn how to architect, secure, and scale multi-agent systems using the industry's leading frameworks: LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP).What You Will Master in This Book: State Machine Workflows: Build reliable, stateful workflows with LangGraph, incorporating human-in-the-loop interventions.Role-Based Orchestration: Design autonomous teams with CrewAI using hierarchical task decomposition and event-driven flows.Conversational AI Architectures: Implement actor-model multi-agent communication with Microsoft's AutoGen.Standardized Tool Integration: Leverage Anthropic's Model Context Protocol (MCP) for seamless client-server tool connectivity.Enterprise-Grade Security: Mitigate prompt injection, manage PII, and implement strict AI governance frameworks.Production Deployment: Architect scalable, observable infrastructures with comprehensive testing, evaluation, and LLM monitoring.Whether you are a software engineer, AI architect, or enterprise developer, this book delivers the exact blueprints, operational patterns, and code-first strategies required to build reliable, sovereign AI systems that drive actual business value. Stop prompting, start engineering.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/818/478/9798184782966_b.jpg", "price_data" : { "retail_price" : "9.99", "online_price" : "9.99", "our_price" : "9.99", "club_price" : "9.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multi-Agent AI Systems Engineering|Chatvariety Team

Multi-Agent AI Systems Engineering : Orchestrating Production Workflows with LangGraph, CrewAI, AutoGen, and MCP

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Overview

Master the Next Frontier of Artificial Intelligence

Single prompt-response LLMs are no longer enough. The future of enterprise AI lies in Multi-Agent AI Systems Engineering-where specialized, autonomous agents collaborate, manage complex states, use advanced tools, and orchestrate sophisticated workflows to solve real-world problems.

This comprehensive, production-grade guide bridges the gap between theoretical AI concepts and enterprise-ready deployment. You will learn how to architect, secure, and scale multi-agent systems using the industry's leading frameworks: LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP).

What You Will Master in This Book:
  • State Machine Workflows: Build reliable, stateful workflows with LangGraph, incorporating human-in-the-loop interventions.
  • Role-Based Orchestration: Design autonomous teams with CrewAI using hierarchical task decomposition and event-driven flows.
  • Conversational AI Architectures: Implement actor-model multi-agent communication with Microsoft's AutoGen.
  • Standardized Tool Integration: Leverage Anthropic's Model Context Protocol (MCP) for seamless client-server tool connectivity.
  • Enterprise-Grade Security: Mitigate prompt injection, manage PII, and implement strict AI governance frameworks.
  • Production Deployment: Architect scalable, observable infrastructures with comprehensive testing, evaluation, and LLM monitoring.

Whether you are a software engineer, AI architect, or enterprise developer, this book delivers the exact blueprints, operational patterns, and code-first strategies required to build reliable, sovereign AI systems that drive actual business value. Stop prompting, start engineering.

This item is Non-Returnable

Details

  • ISBN-13: 9798184782966
  • ISBN-10: 9798184782966
  • Publisher: Independently Published
  • Publish Date: June 2026
  • Dimensions: 9 x 6 x 0.19 inches
  • Shipping Weight: 0.3 pounds
  • Page Count: 92

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