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# 🤝 Enterprise Multi-Agent Workflow Systems (.NET)
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## 📋 Learning Objectives
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This notebook demonstrates how to build sophisticated enterprise-grade multi-agent systems using the Microsoft Agent Framework in .NET with GitHub Models. You'll learn to orchestrate multiple specialized agents working together through structured workflows, leveraging .NET's enterprise features for production-ready solutions.
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**Enterprise Multi-Agent Capabilities You'll Build:**
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- 👥 **Agent Collaboration**: Type-safe agent coordination with compile-time validation
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- 🔄 **Workflow Orchestration**: Declarative workflow definition with .NET's async patterns
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- 🎭 **Role Specialization**: Strongly-typed agent personalities and expertise domains
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- 🏢 **Enterprise Integration**: Production-ready patterns with monitoring and error handling
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## ⚙️ Prerequisites & Setup
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**Development Environment:**
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- .NET 9.0 SDK or higher
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- Visual Studio 2022 or VS Code with C# extension
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- Azure subscription (for persistent agents)
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**Required NuGet Packages:**
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```xml
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<PackageReference Include="Microsoft.Extensions.AI.Abstractions" Version="9.9.0" />
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<PackageReference Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.4" />
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<PackageReference Include="Azure.Identity" Version="1.15.0" />
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<PackageReference Include="System.Linq.Async" Version="6.0.3" />
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<PackageReference Include="Microsoft.Extensions.AI" Version="9.8.0" />
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<PackageReference Include="DotNetEnv" Version="3.1.1" />
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<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="9.9.0-preview.1.25458.4" />
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```
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## Code Sample
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The complete working code for this lesson is available in the accompanying C# file: [`08-dotnet-agent-framework.cs`](./08-dotnet-agent-framework.cs)
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To run the sample:
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```bash
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# Make the file executable (Linux/macOS)
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chmod +x 08-dotnet-agent-framework.cs
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# Run the sample
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./08-dotnet-agent-framework.cs
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```
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Or using the .NET CLI:
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```bash
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dotnet run 08-dotnet-agent-framework.cs
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```
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## What This Sample Demonstrates
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This multi-agent workflow system creates a hotel travel recommendation service with two specialized agents:
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1. **FrontDesk Agent**: A travel agent that provides activity and location recommendations
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2. **Concierge Agent**: Reviews recommendations to ensure authentic, non-touristy experiences
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The agents work together in a workflow where:
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- The FrontDesk agent receives the initial travel request
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- The Concierge agent reviews and refines the recommendation
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- The workflow streams responses in real-time
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## Key Concepts
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### Agent Coordination
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The sample demonstrates type-safe agent coordination using the Microsoft Agent Framework with compile-time validation.
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### Workflow Orchestration
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Uses declarative workflow definition with .NET's async patterns to connect multiple agents in a pipeline.
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### Streaming Responses
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Implements real-time streaming of agent responses using async enumerables and event-driven architecture.
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### Enterprise Integration
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Shows production-ready patterns including:
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- Environment variable configuration
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- Secure credential management
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- Error handling
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- Asynchronous event processing
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