How to build an autonomous AI Agent with tool calling using the new Microsoft.Agents.AI framework in .NET?

Building an autonomous AI agent with tool calling capabilities using the Microsoft.Agents.AI framework in .NET involves several key steps:

1. Set Up Your Environment

Ensure you have the necessary tools installed:

• .NET SDK (compatible with the Microsoft.Agents.AI version, .NET 6 or later is common).
• An Integrated Development Environment (IDE) such as Visual Studio.

2. Install the Microsoft.Agents.AI NuGet Package

Integrate the framework into your project by adding the NuGet package: bash dotnet add package Microsoft.Agents.AI

3. Create an Autonomous AI Agent

Begin by defining your agent. This involves creating a class that inherits from AutonomousAgent.

csharp using Microsoft.Agents.AI; using Microsoft.Agents.AI.Tools; // Or Microsoft.Agents.AI.ToolCalling for an alternative approach

public class MyAutonomousAgent : AutonomousAgent { public MyAutonomousAgent() : base("MyAgent") { // Agent construction logic }

// Agent lifecycle methods (e.g., OnInitializeAsync, OnRunAsync, GetCapabilities)

}

4. Implement Tools

Tools are essential for your agent to interact with its environment. They are typically defined by creating classes that implement either the ITool interface or inherit from the Tool class.

Option A: Implementing ITool

This approach involves defining tool metadata and execution logic within the ExecuteAsync method.

csharp using Microsoft.Agents.AI.Tools;

public class MyTool : ITool { public string Name => "MyTool"; public string Description => "A simple tool that performs a specific task";

public async Task<ToolResult> ExecuteAsync(ToolInput input)
{
    // Perform the task
    return new ToolResult
    {
        Output = "Task completed successfully"
    };
}

}

Option B: Inheriting from Tool

This approach typically involves overriding ExecuteAsync for the tool's logic.

csharp using Microsoft.Agents.AI.ToolCalling;

public class MyTool : Tool { public override async Task<ToolResult> ExecuteAsync(ToolCallContext context) { // Tool execution logic return new ToolResult { Success = true, Output = "Tool executed successfully" }; } }

5. Register and Use Tools

Tools must be registered with the agent to be available. The mechanism for doing this can vary. One common approach is to register them in the agent's constructor or initialization phase:

csharp protected override async Task OnInitializeAsync() { await base.OnInitializeAsync(); RegisterTool(new MyTool()); // Using ITool approach }

Alternatively, you might define agent capabilities and have the framework handle registration:

csharp public override AgentCapabilities GetCapabilities() { return new AgentCapabilities { Tools = new[] { new ToolCapability("MyTool", "My tool description"), }, }; }

public override void OnToolRegistered(Tool tool) { base.OnToolRegistered(tool); if (tool.Name == "MyTool") { // Further registration or setup if needed } }

6. Implement Autonomous Agent Logic and Run It

The core behavior of your agent, including how it identifies and executes tasks or tool calls, resides in methods like OnRunAsync or RunAsync. After defining the logic, you instantiate and start your agent.

csharp // Example using OnRunAsync for continuous agent operation public class MyAutonomousAgent : AutonomousAgent { public MyAutonomousAgent() : base("MyAgent") { RegisterTool(new MyTool()); // Registering tool here, for example }

protected override async Task OnRunAsync()
{
    while (true)
    {
        Console.WriteLine("Agent is running...");
        // Logic to decide on tasks or tool calls
        var tool = GetTool("MyTool"); // Accessing a registered tool
        var result = await tool.ExecuteAsync(new ToolInput()); // Executing with ITool's ToolInput
        Console.WriteLine(result.Output);
        await Task.Delay(5000); // Simulate work
    }
}

}

// Example for running the agent class Program { static async Task Main(string[] args) { var agent = new MyAutonomousAgent(); await agent.RunAsync(); // For agents with OnRunAsync // Or await agent.StartAsync(); // For agents utilizing RunAsync directly } }

7. Additional Considerations

• Error Handling: Implement robust error handling for tool execution and agent operations.
• Logging: Utilize logging to track agent decisions and actions.
• Configuration: Manage agent and tool settings using configuration files.
• Testing: Thoroughly test your agent and its tools to ensure expected behavior.
• Documentation: Refer to the official Microsoft.Agents.AI documentation and the GitHub repository for the most up-to-date guidance, as the framework is evolving.

This guide provides a comprehensive starting point. You will need to adapt and expand upon these basics to fit your specific autonomous AI agent requirements.