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Between the launch of ChatGPT and the GA release of the Microsoft Agent Framework in April 2026, a new class of .NET applications emerged: programs that hold a language model in one hand and a set of tools in the other, and decide for themselves how to string them together to reach a goal. The framework is ready. The guidance mostly isn't — it lives scattered across API docs, conference talks, and GitHub samples pinned to preview builds that broke last Tuesday.

Building AI Agents with C# and .NET 10 is the picture on the puzzle box. Nineteen chapters take you from your first LLM call in C# to a production-hosted, observability-instrumented, safety-filtered multi-agent system, all on the stable, generally available surface of Microsoft Agent Framework 1.14, .NET 10 LTS, and C# 14.

You will learn how to:

Build your first ChatClientAgent, give it a persona, and expose it over HTTP with Minimal API
Solve the amnesia problem with sessions, history providers, and context providers
Get typed C# records back from the model instead of strings you have to regex
Give agents tools and function calling, with human-in-the-loop approval for the dangerous ones
Build and consume Model Context Protocol (MCP) servers in C#
Ground answers in your own documents with retrieval-augmented generation
Send images, audio, and video to multimodal agents — and treat them as untrusted input
Coordinate specialists with multi-agent orchestration and typed workflow graphs
Host agents with ASP.NET Core and .NET Aspire, and instrument them with OpenTelemetry
Layer guardrails against the OWASP LLM Top 10, from input sanitization to critic agents
Package domain expertise as Agent Skills and measure quality with local and cloud evaluation

Along the way you build the Contoso FAQ agent, a small but real production system that grows chapter by chapter until it ships: hosted, observable, guarded, and evaluated.

What makes this book different is discipline. Every listing compiles and runs, and every one is paired with its expected console output, so you know what success looks like before you press F5. Chapters follow an Explain–Demonstrate–Practice rhythm. Exercises come in three tiers (Basic, Intermediate, Challenge) with full worked solutions in Appendix E. The companion repository — one solution, 120 runnable projects — works against Azure OpenAI, OpenAI, GitHub Models, or a local Ollama model with a single configuration change, and ships dedicated helpers for Anthropic and Microsoft Foundry.

Written for intermediate C# developers. No AI or machine learning background required: if you can write a class, use LINQ, and wire up dependency injection, you're ready. Coming from Semantic Kernel or AutoGen? Appendices B and C are your migration maps.

Buying for a team? Volume licenses are available from 3 copies, with team pricing up to 40% off for larger groups — one purchase, one invoice, a copy for everyone.

The companion code lives at https://github.com/RachidD68/building-ai-agents-with-csharp-and-dotnet-10

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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