Files
agent-framework/dotnet/samples/GettingStarted/Steps/Step02_UsingTools.cs
T
Roger Barreto 14f3811648 .Net: Add Azure OpenAI Agent Model Samples (#80)
* Improved Merge logic

* Add modularization for Model Samples and Azure OpenAI

* Address PR feedback

* Warning fix

* Address PR comments
2025-06-18 12:00:38 +00:00

135 lines
4.8 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using System.ComponentModel;
using Microsoft.Agents;
using Microsoft.Extensions.AI;
namespace Steps;
public sealed class Step02_UsingTools(ITestOutputHelper output) : AgentSample(output)
{
[Theory]
[InlineData(ChatClientProviders.OpenAI)]
[InlineData(ChatClientProviders.AzureOpenAI)]
public async Task RunningWithTools(ChatClientProviders provider)
{
// Get the chat client to use for the agent.
using var chatClient = base.GetChatClient(provider);
// Define the agent
var menuTools = new MenuTools();
ChatClientAgent agent =
new(chatClient, new()
{
Name = "Host",
Instructions = "Answer questions about the menu.",
ChatOptions = new()
{
Tools = [
AIFunctionFactory.Create(menuTools.GetMenu),
AIFunctionFactory.Create(menuTools.GetSpecials),
AIFunctionFactory.Create(menuTools.GetItemPrice)
]
}
});
// Create the chat history thread to capture the agent interaction.
var thread = agent.GetNewThread();
// Respond to user input, invoking functions where appropriate.
await RunAgentAsync("Hello");
await RunAgentAsync("What is the special soup and its price?");
await RunAgentAsync("What is the special drink and its price?");
await RunAgentAsync("Thank you");
async Task RunAgentAsync(string input)
{
this.WriteUserMessage(input);
var response = await agent.RunAsync(input, thread);
this.WriteResponseOutput(response);
}
}
[Theory]
[InlineData(ChatClientProviders.OpenAI)]
[InlineData(ChatClientProviders.AzureOpenAI)]
public async Task StreamingRunWithTools(ChatClientProviders provider)
{
// Get the chat client to use for the agent.
using var chatClient = base.GetChatClient(provider);
// Define the agent
var menuTools = new MenuTools();
ChatClientAgent agent =
new(chatClient, new()
{
Name = "Host",
Instructions = "Answer questions about the menu.",
ChatOptions = new()
{
Tools = [
AIFunctionFactory.Create(menuTools.GetMenu),
AIFunctionFactory.Create(menuTools.GetSpecials),
AIFunctionFactory.Create(menuTools.GetItemPrice)
]
}
});
// Create the chat history thread to capture the agent interaction.
var thread = agent.GetNewThread();
// Respond to user input, invoking functions where appropriate.
await RunAgentAsync("Hello");
await RunAgentAsync("What is the special soup and its price?");
await RunAgentAsync("What is the special drink and its price?");
await RunAgentAsync("Thank you");
async Task RunAgentAsync(string input)
{
this.WriteUserMessage(input);
await foreach (var update in agent.RunStreamingAsync(input, thread))
{
this.WriteAgentOutput(update);
}
}
}
private sealed class MenuTools
{
[Description("Get the full menu items.")]
public MenuItem[] GetMenu()
{
return s_menuItems;
}
[Description("Get the specials from the menu.")]
public IEnumerable<MenuItem> GetSpecials()
{
return s_menuItems.Where(i => i.IsSpecial);
}
[Description("Get the price of a menu item.")]
public float? GetItemPrice([Description("The name of the menu item.")] string menuItem)
{
return s_menuItems.FirstOrDefault(i => i.Name.Equals(menuItem, StringComparison.OrdinalIgnoreCase))?.Price;
}
private static readonly MenuItem[] s_menuItems = [
new() { Category = "Soup", Name = "Clam Chowder", Price = 4.95f, IsSpecial = true },
new() { Category = "Soup", Name = "Tomato Soup", Price = 4.95f, IsSpecial = false },
new() { Category = "Salad", Name = "Cobb Salad", Price = 9.99f },
new() { Category = "Salad", Name = "House Salad", Price = 4.95f },
new() { Category = "Drink", Name = "Chai Tea", Price = 2.95f, IsSpecial = true },
new() { Category = "Drink", Name = "Soda", Price = 1.95f },
];
public sealed class MenuItem
{
public string Category { get; set; } = string.Empty;
public string Name { get; set; } = string.Empty;
public float Price { get; set; }
public bool IsSpecial { get; set; }
}
}
}