Engineering multi agent workflows langgraph par thalden miro (5 résultats)

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New. Print on Demand.

Paperback. Etat : new. Paperback. This book provides a detailed examination of designing and implementing multi-agent systems using LangGraph, the graph-based orchestration framework from LangChain. It focuses on advanced architectural patterns, including supervisor orchestration, hierarchical coordination, network collaboration, state management across cycles, conditional routing, persistence for durable execution, and integration with tools, memory, and external services. Readers will explore techniques for building controllable, scalable workflows that handle branching logic, error recovery, human-in-the-loop intervention, and performance optimization in real-world environments. The content assumes familiarity with Python, LangChain concepts, and LLM application development, targeting software engineers, AI architects, and technical leads who build production-grade agentic applications. Emphasis is placed on practical implementation strategies drawn from established patterns such as subagents, specialized routing, reflection loops, and multi-team coordination to achieve reliability and maintainability. Acquire this resource to deepen your capability in constructing robust LangGraph-based multi-agent solutions for enterprise-scale challenges. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. This book provides a detailed examination of designing and implementing multi-agent systems using LangGraph, the graph-based orchestration framework from LangChain. It focuses on advanced architectural patterns, including supervisor orchestration, hierarchical coordination, network collaboration, state management across cycles, conditional routing, persistence for durable execution, and integration with tools, memory, and external services. Readers will explore techniques for building controllable, scalable workflows that handle branching logic, error recovery, human-in-the-loop intervention, and performance optimization in real-world environments. The content assumes familiarity with Python, LangChain concepts, and LLM application development, targeting software engineers, AI architects, and technical leads who build production-grade agentic applications. Emphasis is placed on practical implementation strategies drawn from established patterns such as subagents, specialized routing, reflection loops, and multi-team coordination to achieve reliability and maintainability. Acquire this resource to deepen your capability in constructing robust LangGraph-based multi-agent solutions for enterprise-scale challenges. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…