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Mastering the Microsoft Agent Framework: Companion Code

This repository holds the complete, runnable code for the book. Every code listing in the book corresponds to a real program here, built against one pinned version of the Microsoft Agent Framework (1.6.1). If the book shows you a block of code, the file it came from is in this repository and it builds.

What you need

  • The .NET 8 SDK. The exact version is pinned in global.json.
  • An Azure AI Foundry project with a deployed chat model. Chapter 2 walks through deploying one. Chapter 6 additionally needs a deployed embedding model.
  • The Azure CLI, signed in with az login. The code authenticates with your CLI identity in development and a managed identity in production. It does not use API keys; Chapter 3 explains why.

First run

From the repository root, copy the environment template and fill in your values:

cp .env.template .env

Then verify the whole solution builds:

./tools/verify-repo.ps1      # Windows
./tools/verify-repo.sh       # macOS and Linux

A clean run means your environment matches the book's. You can also just run dotnet build from the root, since the whole book is a single solution.

How the chapters map to the code

Chapter Project What it builds
2 src/Ch02.CustomerSupportTriage First agent: a support triage assistant
3 src/Ch03.ProvidersAndIdentity The same agent over the native Foundry path
4 src/Ch04.RetailReturns An agent that calls tools
5 src/Ch05.AppointmentIntake An agent with memory
6 src/Ch06.Rag An agent grounded in your documents (RAG)
7 src/Ch07.ClaimsIntake An agent that asks a human before acting
8 src/Ch08.ComplianceAgent, src/Ch08.ComplianceMcpServer An agent that uses tools over MCP, plus an MCP server
9 src/Ch09.PolicyExpertSkill An agent that draws on a packaged skill
10 src/Ch10.DocumentPipeline A sequential multi-step workflow
11 src/Ch11.ResearchSynthesis, src/Ch11.ItRouting Concurrent fan-out/fan-in and handoff routing
12 src/Ch12.MarketAssessmentGroupChat, src/Ch12.MarketAssessmentMagentic Group chat and Magentic orchestration
13 src/Ch13.TransactionGuardrails Middleware and input/output guardrails
14 src/Ch14.LogisticsObservability An observable agent traced with OpenTelemetry
15 src/Ch15.LogisticsEvaluation Evaluating an agent with deterministic and LLM-judge tests
16 src/Ch16.RouteAdvisorServer, src/Ch16.RouteAdvisorClient One agent calling another over A2A

Chapters 1 and 17 and the appendix are discussion chapters with no code project of their own.

Shared connection and helper code lives in src/Shared. Each chapter project has its own README mapping files to the book's listings.

A Note On Cost And Preview Packages

The samples call a real, paid model. The amounts are small, but they are real, so sign out or remove deployments you are not using. Several chapters use preview packages: the native Foundry path (Chapter 3), the in-memory vector store (Chapter 6), the Azure Monitor exporter (Chapter 14), the evaluation libraries (Chapter 15), and the A2A protocol and hosting integration (Chapter 16). Each is flagged in the relevant chapter and pinned to an exact version in Directory.Packages.props.

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