mirror of
https://github.com/microsoft/agent-framework.git
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14f3811648
* Improved Merge logic * Add modularization for Model Samples and Azure OpenAI * Address PR feedback * Warning fix * Address PR comments
135 lines
4.8 KiB
C#
135 lines
4.8 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using System.ComponentModel;
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using Microsoft.Agents;
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using Microsoft.Extensions.AI;
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namespace Steps;
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public sealed class Step02_UsingTools(ITestOutputHelper output) : AgentSample(output)
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{
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[Theory]
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[InlineData(ChatClientProviders.OpenAI)]
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[InlineData(ChatClientProviders.AzureOpenAI)]
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public async Task RunningWithTools(ChatClientProviders provider)
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{
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// Get the chat client to use for the agent.
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using var chatClient = base.GetChatClient(provider);
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// Define the agent
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var menuTools = new MenuTools();
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ChatClientAgent agent =
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new(chatClient, new()
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{
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Name = "Host",
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Instructions = "Answer questions about the menu.",
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ChatOptions = new()
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{
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Tools = [
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AIFunctionFactory.Create(menuTools.GetMenu),
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AIFunctionFactory.Create(menuTools.GetSpecials),
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AIFunctionFactory.Create(menuTools.GetItemPrice)
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]
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}
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});
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// Create the chat history thread to capture the agent interaction.
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var thread = agent.GetNewThread();
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// Respond to user input, invoking functions where appropriate.
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await RunAgentAsync("Hello");
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await RunAgentAsync("What is the special soup and its price?");
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await RunAgentAsync("What is the special drink and its price?");
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await RunAgentAsync("Thank you");
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async Task RunAgentAsync(string input)
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{
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this.WriteUserMessage(input);
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var response = await agent.RunAsync(input, thread);
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this.WriteResponseOutput(response);
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}
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}
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[Theory]
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[InlineData(ChatClientProviders.OpenAI)]
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[InlineData(ChatClientProviders.AzureOpenAI)]
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public async Task StreamingRunWithTools(ChatClientProviders provider)
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{
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// Get the chat client to use for the agent.
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using var chatClient = base.GetChatClient(provider);
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// Define the agent
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var menuTools = new MenuTools();
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ChatClientAgent agent =
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new(chatClient, new()
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{
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Name = "Host",
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Instructions = "Answer questions about the menu.",
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ChatOptions = new()
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{
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Tools = [
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AIFunctionFactory.Create(menuTools.GetMenu),
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AIFunctionFactory.Create(menuTools.GetSpecials),
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AIFunctionFactory.Create(menuTools.GetItemPrice)
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]
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}
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});
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// Create the chat history thread to capture the agent interaction.
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var thread = agent.GetNewThread();
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// Respond to user input, invoking functions where appropriate.
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await RunAgentAsync("Hello");
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await RunAgentAsync("What is the special soup and its price?");
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await RunAgentAsync("What is the special drink and its price?");
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await RunAgentAsync("Thank you");
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async Task RunAgentAsync(string input)
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{
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this.WriteUserMessage(input);
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await foreach (var update in agent.RunStreamingAsync(input, thread))
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{
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this.WriteAgentOutput(update);
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}
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}
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}
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private sealed class MenuTools
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{
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[Description("Get the full menu items.")]
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public MenuItem[] GetMenu()
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{
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return s_menuItems;
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}
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[Description("Get the specials from the menu.")]
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public IEnumerable<MenuItem> GetSpecials()
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{
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return s_menuItems.Where(i => i.IsSpecial);
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}
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[Description("Get the price of a menu item.")]
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public float? GetItemPrice([Description("The name of the menu item.")] string menuItem)
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{
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return s_menuItems.FirstOrDefault(i => i.Name.Equals(menuItem, StringComparison.OrdinalIgnoreCase))?.Price;
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}
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private static readonly MenuItem[] s_menuItems = [
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new() { Category = "Soup", Name = "Clam Chowder", Price = 4.95f, IsSpecial = true },
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new() { Category = "Soup", Name = "Tomato Soup", Price = 4.95f, IsSpecial = false },
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new() { Category = "Salad", Name = "Cobb Salad", Price = 9.99f },
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new() { Category = "Salad", Name = "House Salad", Price = 4.95f },
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new() { Category = "Drink", Name = "Chai Tea", Price = 2.95f, IsSpecial = true },
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new() { Category = "Drink", Name = "Soda", Price = 1.95f },
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];
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public sealed class MenuItem
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{
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public string Category { get; set; } = string.Empty;
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public string Name { get; set; } = string.Empty;
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public float Price { get; set; }
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public bool IsSpecial { get; set; }
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}
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}
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}
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