Practical AI Agents in C#
Building Intelligent and Enterprise-Ready AI Agents with Microsoft's Agent Framework and Azure
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Beschreibung
This book is a practical, hands-on guide to building intelligent AI agents on the modern Microsoft stack using Agent Framework 1.0. As Microsoft unifies Semantic Kernel and AutoGen into a single production-ready SDK, this book helps .NET developers move beyond scattered documentation and quickly start building real-world agentic applications in C#.
From spinning up a first agent against Microsoft Foundry to wiring tools through MCP and orchestrating multi-agent workflows, the book delivers a focused, implementation-first approach designed for developers who want to build—not just experiment. Through concise chapters packed with production-ready .NET 10 code, you will learn how to create capable agents with tools, plugins, middleware pipelines, memory systems, vector search, and graph-based orchestration patterns.
The book explores advanced enterprise scenarios, including human-in-the-loop approvals, AI workflow checkpoints, Azure AI Search integration, Teams and Microsoft 365 connectivity, observability with OpenTelemetry, semantic caching, model selection strategies, and secure deployment to Azure. Every chapter concludes with practical mini-projects that can be adapted immediately for real business applications.
Whether you are migrating from Semantic Kernel, experimenting with AI orchestration, or building scalable enterprise agents from scratch, this book provides a complete roadmap from prototype to production.
What You Will Learn:
- Create and configure AI agents using the Agent Framework 1.0 core abstractions and the Microsoft.Agents.AI NuGet package in C#
- Wire tools and external services into agents using MCP and the built-in .NET plugin model
- Compose multi-agent workflows using graph-based orchestration patterns — sequential, concurrent, handoff, group chat, and Magentic-One
- Manage agent memory, context, and state for long-running and human-in-the-loop scenarios with Azure AI Search
- Deploy and observe production agents on Azure with OpenTelemetry, Application Insights, and Azure Functions hosting.
This book is a practical, hands-on guide to building intelligent AI agents on the modern Microsoft stack using Agent Framework 1.0. As Microsoft unifies Semantic Kernel and AutoGen into a single production-ready SDK, this book helps .NET developers move beyond scattered documentation and quickly start building real-world agentic applications in C#.
From spinning up a first agent against Microsoft Foundry to wiring tools through MCP and orchestrating multi-agent workflows, the book delivers a focused, implementation-first approach designed for developers who want to build—not just experiment. Through concise chapters packed with production-ready .NET 10 code, you will learn how to create capable agents with tools, plugins, middleware pipelines, memory systems, vector search, and graph-based orchestration patterns.
The book explores advanced enterprise scenarios, including human-in-the-loop approvals, AI workflow checkpoints, Azure AI Search integration, Teams and Microsoft 365 connectivity, observability with OpenTelemetry, semantic caching, model selection strategies, and secure deployment to Azure. Every chapter concludes with practical mini-projects that can be adapted immediately for real business applications.
Whether you are migrating from Semantic Kernel, experimenting with AI orchestration, or building scalable enterprise agents from scratch, this book provides a complete roadmap from prototype to production.
What You Will Learn:
- Create and configure AI agents using the Agent Framework 1.0 core abstractions and the Microsoft.Agents.AI NuGet package in C#
- Wire tools and external services into agents using MCP and the built-in .NET plugin model
- Compose multi-agent workflows using graph-based orchestration patterns — sequential, concurrent, handoff, group chat, and Magentic-One
- Manage agent memory, context, and state for long-running and human-in-the-loop scenarios with Azure AI Search
- Deploy and observe production agents on Azure with OpenTelemetry, Application Insights, and Azure Functions hosting.
Who This Book Is For:
C# and .NET developers building AI-powered applications within the Microsoft and Azure ecosystem. Cloud engineers and solution architects on Azure adding agentic capabilities to existing .NET workloads
Covers Azure deployment patterns, OpenTelemetry observability, and a migration guide from Semantic Kernel (.NET) Contains SharePoint library ingestion into Azure AI Search for RAG All code examples are idiomatic C# targeting .NET 10 with proper async/await, DI, and ILogger integration
Autor*in
Saravanan Ganesan
Themen in »Practical AI Agents in C#«
AI agents Azure OpenAI multi-agent orchestration .NET graph workflows Semantic Kernel NuGet agentic AI C# microsoft .NET Agents SignalR Microsoft Agent Framework