109 lines
3.3 KiB
C#
109 lines
3.3 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using System.ComponentModel;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.ChatCompletion;
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using Microsoft.SemanticKernel.Connectors.OpenAI;
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namespace Examples;
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/// <summary>
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/// This example shows how to create a plugin class and interact with as described at
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/// https://learn.microsoft.com/semantic-kernel/overview/
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/// This sample uses function calling, so it only works on models newer than 0613.
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/// </summary>
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public class Plugin(ITestOutputHelper output) : LearnBaseTest([
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"Hello",
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"Can you turn on the lights"], output)
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{
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[Fact]
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public async Task RunAsync()
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{
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Console.WriteLine("======== Plugin ========");
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string? endpoint = TestConfiguration.AzureOpenAI.Endpoint;
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string? modelId = TestConfiguration.AzureOpenAI.ChatModelId;
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string? apiKey = TestConfiguration.AzureOpenAI.ApiKey;
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if (endpoint is null || modelId is null || apiKey is null)
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{
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Console.WriteLine("Azure OpenAI credentials not found. Skipping example.");
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return;
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}
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// Create kernel
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// <KernelCreation>
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var builder = Kernel.CreateBuilder()
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.AddAzureOpenAIChatCompletion(modelId, endpoint, apiKey);
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builder.Plugins.AddFromType<LightPlugin>();
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Kernel kernel = builder.Build();
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// </KernelCreation>
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// <Chat>
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// Create chat history
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var history = new ChatHistory();
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// Get chat completion service
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var chatCompletionService = kernel.GetRequiredService<IChatCompletionService>();
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// Start the conversation
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Console.Write("User > ");
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string? userInput;
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while ((userInput = Console.ReadLine()) is not null)
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{
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// Add user input
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history.AddUserMessage(userInput);
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// Enable auto function calling
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OpenAIPromptExecutionSettings openAIPromptExecutionSettings = new()
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{
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FunctionChoiceBehavior = FunctionChoiceBehavior.Auto()
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};
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// Get the response from the AI
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var result = await chatCompletionService.GetChatMessageContentAsync(
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history,
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executionSettings: openAIPromptExecutionSettings,
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kernel: kernel);
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// Print the results
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Console.WriteLine("Assistant > " + result);
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// Add the message from the agent to the chat history
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history.AddMessage(result.Role, result.Content ?? string.Empty);
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// Get user input again
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Console.Write("User > ");
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}
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// </Chat>
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}
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}
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// <LightPlugin>
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public class LightPlugin
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{
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public bool IsOn { get; set; } = false;
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#pragma warning disable CA1024 // Use properties where appropriate
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[KernelFunction]
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[Description("Gets the state of the light.")]
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public string GetState() => IsOn ? "on" : "off";
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#pragma warning restore CA1024 // Use properties where appropriate
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[KernelFunction]
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[Description("Changes the state of the light.'")]
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public string ChangeState(bool newState)
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{
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this.IsOn = newState;
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var state = GetState();
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// Print the state to the console
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Console.WriteLine($"[Light is now {state}]");
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return state;
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}
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}
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// </LightPlugin>
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