Microsoft Agent Framework with .NET 10 for Production: Engineer Reliable AI Agents and Multi-Agent Workflows with C# for Real-World Intelligent ... AI Agents with Microsoft Agent Framework)
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Description
Ready to move beyond AI demos and start building agents you can actually trust in production?
AI agents can seem intimidating—especially when tools, workflows, security, state, human approval, and deployment enter the picture. Microsoft Agent Framework with .NET 10 for Production provides a practical, step-by-step path for C# and .NET developers who want to understand agentic AI without being overwhelmed.
You do not need previous experience with Microsoft Agent Framework, multi-agent systems, MCP, AI evaluation, or workflow orchestration. If you are comfortable with basic C# and .NET development, this book will guide you from your first controlled agent to a secure, observable, production-ready agentic application.
Throughout the book, you will build ServiceOps , an intelligent incident-operations platform that grows chapter by chapter. Instead of disconnected examples, every new concept becomes part of one realistic application—helping you see how production AI architecture fits together.
Key Features Practical, progressive examples using C#, .NET 10, ASP.NET Core, and Microsoft Agent Framework
Structured outputs, function tools, persistent context, and grounded knowledge
Secure Model Context Protocol (MCP) integration
Multi-agent collaboration and deterministic workflow orchestration
Human-in-the-loop approval, checkpointing, and durable execution
Reliability patterns for retries, timeouts, idempotency, and recovery
AI agent security, prompt-injection defenses, and permission boundaries
Testing, AI evaluation, OpenTelemetry, containerization, and production deployment
Review questions, verification checklists, and practical exercises
What You Will Learn You will learn how to design reliable AI agents, create typed response contracts, expose controlled tools, manage sessions and state, integrate external systems securely, coordinate specialist agents, build agentic workflows, introduce human oversight, recover from failures, evaluate model-dependent behavior, trace production activity, and operate agent applications inside ASP.NET Core.
Mistakes, failed tool calls, weak evaluations, and workflow redesigns are treated as part of the engineering process—not as failure. Each improvement becomes another practical step toward a system you can operate with confidence.
Who This Book Is For C# and .NET developers new to AI agents
ASP.NET Core developers exploring production AI applications
Software engineers building tool-using or multi-agent systems
Developers interested in MCP, agentic workflows, AI security, and observability
Technical professionals moving from AI prototypes to production systems
Table of Contents Engineering Production Agents with Microsoft Agent Framework
Building Reliable Agents with Structured Outputs and Tools
Managing Context, State, and Grounded Knowledge
Integrating MCP and External Tools Securely
Designing Effective Multi-Agent Systems
Orchestrating Deterministic and Agentic Workflows
Human Oversight, Checkpointing, and Durable Execution
Engineering Reliability and Security
Testing, Evaluating, and Observing Agentic Systems
Hosting and Operating Agentic Applications with ASP.NET Core
If you are ready to turn experimental AI agents into dependable .NET applications, Microsoft Agent Framework with .NET 10 for Production gives you the architecture, practical techniques, and production mindset to get there.
Start building reliable AI agents with C# and .NET today.
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