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Artículo: AMZ-B0G6563RQF
Agentic AI System Architecture: Building Interoperable AI with Google ADK and the Model Context Protocol
Format:
Kindle
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0.84 kg
0.84 kg
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Nuevo
Nuevo
Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Agentic System Architecture is a groundbreaking engineering guide for developers who are ready to move beyond chatbots, toy LangChain demos, and brittle prompt chains. The book delivers a rigorous blueprint for building production-ready autonomous AI systems using Google Agent Development Kit (ADK), the Model Context Protocol (MCP), and deterministic architectural patterns that bring reliability, observability, and interoperability to modern intelligent platforms.For years, enterprises have been dazzled by Large Language Models but frustrated by their limitations. Traditional chatbot interfaces can summarize emails and generate content, yet they fail catastrophically when asked to manage real workloads, act on live APIs, collaborate with other systems, or execute multi-step business logic with consistency and safety. Real value comes only when AI becomes an agent, not an interface — capable of making decisions, interacting with real data, and executing real operations without human babysitting.This book teaches you how to treat AI agents not as magic, but as software artifacts that demand structure, type enforcement, control boundaries, and observable execution paths. You will learn how to:wrap a stochastic model in deterministic scaffoldingenforce typed JSON contracts to prevent ambiguity and hallucinationbuild MCP servers to expose databases, APIs, filesystems, streaming data, and custom toolsmanage reasoning, state, execution loops, error conditions, and retries using ADKorchestrate multiple agents through network collaboration, capability delegation, and A2A communicationdeploy secure, auto-scaling autonomous agents on Google Cloud Run with tracing, logging, and operational guardrailsintegrate schema validation, human-in-the-loop controls, and failure isolation to ensure safety in business environmentsRather than showing isolated code tricks, Agentic System Architecture defines a complete, interoperable platform model. MCP becomes the standardized “nervous system” for exposing capabilities, while ADK becomes the cognitive runtime for planning, reasoning, knowledge retrieval, and execution. Together they eliminate the brittle N × M integration problem, allowing any agent to consume any tool or data source without rewriting glue code.Whether you are a backend engineer, a systems architect, or an AI platform builder, this book gives you a repeatable engineering discipline for designing intelligent systems that are observable, testable, secure, scalable, and enterprise ready. You will not learn prompt hacks — you will learn the architecture behind the next decade of AI infrastructure.
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