Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 20,19
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 21,54
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 24,02
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 21,34
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 22,43
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Librería: Rarewaves.com UK, London, Reino Unido
EUR 21,40
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 23,93
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Añadir al carritoPaperback. Condición: new. Paperback. Agentic AI with MCPBuild Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language ModelsUnlock the future of intelligent software systems with Agentic AI and Model-Text Protocols (MCP)-the new frontier of AI engineering.This cutting-edge guide walks you through building structured multi-agent systems using LangChain, AutoGen, CrewAI, and LLM orchestration protocols. Whether you're designing an autonomous assistant, coordinating agents for knowledge work, or scaling tools in production with FastAPI, this book offers a practical, professional blueprint grounded in real-world applications and 2025 best practices.You'll learn how to design agent workflows, implement shared memory and vector stores, coordinate tools and roles, prevent hallucinations and output leakage, and deploy agents at scale using cloud-native architectures. From MCP message schemas to role-based prompt engineering, every concept is backed with actionable examples and battle-tested implementations.Inside You'll Discover: How to architect agentic systems using MCP schemas and protocol flowsIntegration of LangChain memory, AutoGen histories, and vector databasesTask-based collaboration with CrewAI and function-calling agentsSecure design practices: sandboxing, red teaming, audit logging, and oversightDeploying scalable agents with FastAPI, Docker, Fly.io, and background servicesReal-world use cases: AI developer assistants, legal PDF agents, alert triage bots, and moreAgentOps: Evaluating and tuning agents in production environmentsWho This Book Is For: AI developers and engineers working with LLMs and orchestration frameworksBackend and platform teams exploring multi-agent coordinationTechnical founders and automation specialists designing autonomous workflowsAnyone building AI agents using LangChain, OpenAI, Claude, or custom APIsWhether you're building a single-agent tool or coordinating fleets of autonomous workers, Agentic AI with MCP is your trusted guide to building reliable, secure, and scalable agent systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Buchpark, Trebbin, Alemania
EUR 12,00
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Añadir al carritoCondición: Gut. Zustand: Gut | Seiten: 274 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 24,52
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 21,35
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: CitiRetail, Stevenage, Reino Unido
EUR 25,06
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Agentic AI with MCPBuild Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language ModelsUnlock the future of intelligent software systems with Agentic AI and Model-Text Protocols (MCP)-the new frontier of AI engineering.This cutting-edge guide walks you through building structured multi-agent systems using LangChain, AutoGen, CrewAI, and LLM orchestration protocols. Whether you're designing an autonomous assistant, coordinating agents for knowledge work, or scaling tools in production with FastAPI, this book offers a practical, professional blueprint grounded in real-world applications and 2025 best practices.You'll learn how to design agent workflows, implement shared memory and vector stores, coordinate tools and roles, prevent hallucinations and output leakage, and deploy agents at scale using cloud-native architectures. From MCP message schemas to role-based prompt engineering, every concept is backed with actionable examples and battle-tested implementations.Inside You'll Discover: How to architect agentic systems using MCP schemas and protocol flowsIntegration of LangChain memory, AutoGen histories, and vector databasesTask-based collaboration with CrewAI and function-calling agentsSecure design practices: sandboxing, red teaming, audit logging, and oversightDeploying scalable agents with FastAPI, Docker, Fly.io, and background servicesReal-world use cases: AI developer assistants, legal PDF agents, alert triage bots, and moreAgentOps: Evaluating and tuning agents in production environmentsWho This Book Is For: AI developers and engineers working with LLMs and orchestration frameworksBackend and platform teams exploring multi-agent coordinationTechnical founders and automation specialists designing autonomous workflowsAnyone building AI agents using LangChain, OpenAI, Claude, or custom APIsWhether you're building a single-agent tool or coordinating fleets of autonomous workers, Agentic AI with MCP is your trusted guide to building reliable, secure, and scalable agent systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.