Agentic AI with MCP: Build Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language Models: 3 (Building Intelligent Agents: The Complete Framework Series) - Tapa blanda
Sinopsis
Agentic AI with MCP
Build Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language Models
Unlock 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 flows
Integration of LangChain memory, AutoGen histories, and vector databases
Task-based collaboration with CrewAI and function-calling agents
Secure design practices: sandboxing, red teaming, audit logging, and oversight
Deploying scalable agents with FastAPI, Docker, Fly.io, and background services
Real-world use cases: AI developer assistants, legal PDF agents, alert triage bots, and more
AgentOps: Evaluating and tuning agents in production environments
Who This Book Is For:
AI developers and engineers working with LLMs and orchestration frameworks
Backend and platform teams exploring multi-agent coordination
Technical founders and automation specialists designing autonomous workflows
Anyone building AI agents using LangChain, OpenAI, Claude, or custom APIs
Whether 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.
"Sinopsis" puede pertenecer a otra edición de este libro.
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Agentic AI with MCP: Build Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language Models
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Paperback. 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. Nº de ref. del artículo: 9798287399009
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Agentic AI with MCP: Build Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language Models (Building Intelligent Agents: The Complete Framework Series)
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Agentic AI with MCP: Build Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language Models
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Agentic AI with MCP (Paperback)
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Paperback. 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. Nº de ref. del artículo: 9798287399009
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