[AI] Scott D.S. - Microsoft Agent Framework in Practice [2026, PDF/EPUB, ENG]

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Osco do Casco

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Osco do Casco · 22-Июл-26 22:59 (3 дня назад, ред. 22-Июл-26 23:06)

Microsoft Agent Framework in Practice
Год издания: 2026
Автор: Scott D.S.
Издательство: Independently published
ISBN: отсутствует
Язык: Английский
Формат: PDF/EPUB
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 327
Описание: What if your AI agent works perfectly in testing… but breaks the moment real users touch it?
You’ve written prompts. You’ve connected APIs. You’ve seen promising results. But when it’s time to scale, everything starts to fall apart. Responses become inconsistent. workflows get messy. Debugging turns into guesswork.
You’re not alone and you’re not missing talent. You’re missing structure.
Microsoft Agent Framework in Practice shows you how to move beyond fragile prototypes and build production-grade AI agents that actually hold up under real-world conditions.
This book gives you a clear, hands-on system for designing, orchestrating, and scaling agent workflows using Python, .NET, MCP tools, and cloud-ready architectures. You will learn how to control agent behavior, enforce policies, and build systems that remain stable as complexity grows.
Instead of relying on unpredictable prompts, you’ll build structured, observable, and secure agent systems that you can trust in production.
By the end of this book, you will be able to:
- Build AI agents that produce structured, reliable decisions instead of inconsistent outputs
- Orchestrate multi-agent workflows with clear roles and controlled execution paths
- Integrate MCP tools and external APIs without losing control of your system
- Design scalable architectures that handle real traffic, not just demos
- Implement memory, state management, and workflow checkpointing
- Debug agent systems with confidence using tracing, logging, and metrics
- Enforce security, authentication, and governance in sensitive environments
- Deploy and scale agents using containers, serverless runtimes, and cloud platforms
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