Agent-to-Agent AI with Google ADK: Creating Context-Aware Multi-Agent Systems Using Google ADK & A2A
商品資訊
ISBN13：9798287791650
出版社：Independently published
作者：Jerry Canter
出版日：2025/06/12
裝訂：平裝
規格：25.4cm*17.8cm*0.7cm (高/寬/厚)
商品簡介
Are you ready to build scalable AI agent workflows using Google's cutting-edge Agent Development Kit (ADK)? Curious about how to orchestrate multi-agent workflows seamlessly, creating context-aware multi-agent systems with advanced technologies like Google's A2A protocol and the powerful Model Context Protocol (MCP)?
In Agent-to-Agent AI with Google ADK: Creating Context-Aware Multi-Agent Systems Using Google ADK & A2A, you'll discover a hands-on guide tailored for developers eager to implement end-to-end AI agent pipelines. This practical resource teaches you everything from foundational concepts to advanced strategies, enabling you to deploy next-gen multi-agent systems with ease.
What makes this guide stand out is its structured approach, blending clear explanations, vivid examples, and real-world applications. You'll master Google ADK agent architecture, explore intelligent multi-agent systems using Autogen, and confidently develop action-oriented, agentic systems AI pipelines. Each chapter offers actionable insights supported by Python JSON-RPC examples, making complex concepts accessible and directly applicable.
Key chapters include:
Foundations of Agent-to-Agent AI: Understanding MCP and the principles behind scalable AI agent protocols.
Designing Message Schemas: Creating robust schemas using JSON-RPC for seamless agent communication.
Building Retrieval and Processing Agents: Practical applications using Google's ADK and Gemini models.
Creating Shared Memory Stores: Implementing MCP to maintain consistent context across agents.
Orchestrating Dynamic Workflows: Techniques to ensure your multi-agent systems scale efficiently.
Securing Inter-Agent Communications: Leveraging Google's security protocols for robust system protection.
Observability and Continuous Improvement: Instrumentation techniques for tracing and metrics in production environments.
Future Directions: Emerging trends in deploying next-gen multi-agent systems.
Whether you're an experienced developer looking to refine your skills or new to agentic systems, this comprehensive guide will position you at the forefront of scalable AI solutions.
Buy your copy today and start creating intelligent, context-aware agent systems that deliver real-world impact!
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