Multi-Agent AI Systems Engineering : Orchestrating Production Workflows with LangGraph, CrewAI, AutoGen, and MCP
Language: English
Published by Independently Published Jun 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 21.35
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- Title
- Multi-Agent AI Systems Engineering : Orchestrating Production Workflows with LangGraph, CrewAI, AutoGen, and MCP
- Author
- Chatvariety Team
- Publisher
- Independently Published Jun 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798184782966
- Item weight
- 137 grams
- Dimensions
- 229x152x5 mm
- Series
- Book 17 of 21: Production AI Engineering Series
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.
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