🔍 Exploring Microsoft Agent Framework - Basic Agent (.NET)
📋 Learning Objectives
This example explores the fundamental concepts of the Microsoft Agent Framework through a basic agent implementation in .NET. You'll learn core agentic patterns and understand how intelligent agents work under the hood using C# and the .NET ecosystem.
What You'll Discover
- 🏗️ Agent Architecture: Understanding the basic structure of AI agents in .NET
- 🛠️ Tool Integration: How agents use external functions to extend capabilities
- 💬 Conversation Flow: Managing multi-turn conversations and context with thread management
- 🔧 Configuration Patterns: Best practices for agent setup and management in .NET
🎯 Key Concepts Covered
Agentic Framework Principles
- Autonomy: How agents make independent decisions using .NET AI abstractions
- Reactivity: Responding to environmental changes and user inputs
- Proactivity: Taking initiative based on goals and context
- Social Ability: Interacting through natural language with conversation threads
Technical Components
- AIAgent: Core agent orchestration and conversation management (.NET)
- Tool Functions: Extending agent capabilities with C# methods and attributes
- Azure OpenAI Integration: Leveraging language models through the Azure OpenAI Responses API
- Secure Configuration: Environment-based endpoint management
🔧 Technical Stack
Core Technologies
- Microsoft Agent Framework (.NET)
- Azure OpenAI (Responses API) integration
- Azure.AI.OpenAI client patterns
- Environment-based configuration with DotNetEnv
Agent Capabilities
- Natural language understanding and generation
- Function calling and tool usage with C# attributes
- Context-aware responses with conversation sessions
- Extensible architecture with dependency injection patterns
📚 Framework Comparison
This example demonstrates the Microsoft Agent Framework approach compared to other agentic frameworks:
| Feature | Microsoft Agent Framework | Other Frameworks |
|---|---|---|
| Integration | Native Microsoft ecosystem | Varied compatibility |
| Simplicity | Clean, intuitive API | Often complex setup |
| Extensibility | Easy tool integration | Framework-dependent |
| Enterprise Ready | Built for production | Varies by framework |
🚀 Getting Started
Prerequisites
- .NET 10 SDK or higher
- An Azure subscription with an Azure OpenAI resource and a model deployment
- The Azure CLI — sign in with
az login
Required Environment Variables
bash
# zsh/bash