170 lines
6.8 KiB
C#
170 lines
6.8 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using System.ComponentModel;
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using System.Text.Json.Serialization;
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using Microsoft.OpenApi.Extensions;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.ChatCompletion;
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using Microsoft.SemanticKernel.Connectors.MistralAI;
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namespace ChatCompletion;
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/// <summary>
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/// Demonstrates the use of function calling with MistralAI.
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/// </summary>
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public sealed class MistralAI_FunctionCalling(ITestOutputHelper output) : BaseTest(output)
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{
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[Fact]
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public async Task AutoInvokeKernelFunctionsAsync()
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{
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// Create a kernel with MistralAI chat completion and WeatherPlugin
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Kernel kernel = this.CreateKernelWithWeatherPlugin();
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// Invoke chat prompt with auto invocation of functions enabled
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const string ChatPrompt = """
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<message role="user">What is the weather like in Paris?</message>
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""";
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var executionSettings = new MistralAIPromptExecutionSettings { ToolCallBehavior = MistralAIToolCallBehavior.AutoInvokeKernelFunctions };
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var chatSemanticFunction = kernel.CreateFunctionFromPrompt(
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ChatPrompt, executionSettings);
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var chatPromptResult = await kernel.InvokeAsync(chatSemanticFunction);
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Console.WriteLine(chatPromptResult);
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}
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[Fact]
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public async Task AutoInvokeKernelFunctionsMultipleCallsAsync()
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{
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// Create a kernel with MistralAI chat completion and WeatherPlugin
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Kernel kernel = this.CreateKernelWithWeatherPlugin();
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var service = kernel.GetRequiredService<IChatCompletionService>();
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// Invoke chat prompt with auto invocation of functions enabled
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var chatHistory = new ChatHistory
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{
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new ChatMessageContent(AuthorRole.User, "What is the weather like in Paris?")
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};
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var executionSettings = new MistralAIPromptExecutionSettings { ToolCallBehavior = MistralAIToolCallBehavior.AutoInvokeKernelFunctions };
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var chatPromptResult1 = await service.GetChatMessageContentsAsync(chatHistory, executionSettings, kernel);
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chatHistory.AddRange(chatPromptResult1);
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chatHistory.Add(new ChatMessageContent(AuthorRole.User, "What is the weather like in Marseille?"));
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var chatPromptResult2 = await service.GetChatMessageContentsAsync(chatHistory, executionSettings, kernel);
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Console.WriteLine(chatPromptResult1[0].Content);
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Console.WriteLine(chatPromptResult2[0].Content);
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}
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[Fact]
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public async Task RequiredKernelFunctionsAsync()
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{
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// Create a kernel with MistralAI chat completion and WeatherPlugin
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Kernel kernel = this.CreateKernelWithWeatherPlugin();
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var plugin = kernel.Plugins.First();
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// Invoke chat prompt with auto invocation of functions enabled
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const string ChatPrompt = """
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<message role="user">What is the weather like in Paris?</message>
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""";
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var executionSettings = new MistralAIPromptExecutionSettings
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{
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ToolCallBehavior = MistralAIToolCallBehavior.RequiredFunctions(plugin, true)
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};
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var chatSemanticFunction = kernel.CreateFunctionFromPrompt(
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ChatPrompt, executionSettings);
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var chatPromptResult = await kernel.InvokeAsync(chatSemanticFunction);
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Console.WriteLine(chatPromptResult);
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}
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[Fact]
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public async Task NoKernelFunctionsAsync()
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{
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// Create a kernel with MistralAI chat completion and WeatherPlugin
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Kernel kernel = this.CreateKernelWithWeatherPlugin();
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// Invoke chat prompt with auto invocation of functions enabled
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const string ChatPrompt = """
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<message role="user">What is the weather like in Paris?</message>
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""";
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var executionSettings = new MistralAIPromptExecutionSettings
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{
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ToolCallBehavior = MistralAIToolCallBehavior.NoKernelFunctions
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};
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var chatSemanticFunction = kernel.CreateFunctionFromPrompt(
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ChatPrompt, executionSettings);
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var chatPromptResult = await kernel.InvokeAsync(chatSemanticFunction);
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Console.WriteLine(chatPromptResult);
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}
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[Fact]
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public async Task AutoInvokeKernelFunctionsMultiplePluginsAsync()
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{
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// Create a kernel with MistralAI chat completion and WeatherPlugin and WidgetPlugin
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Kernel kernel = this.CreateKernelWithWeatherPlugin();
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kernel.Plugins.AddFromType<WidgetPlugin>();
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// Invoke chat prompt with auto invocation of functions enabled
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const string ChatPrompt = """
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<message role="user">Create a lime and scarlet colored widget for me.</message>
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""";
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var executionSettings = new MistralAIPromptExecutionSettings { ToolCallBehavior = MistralAIToolCallBehavior.AutoInvokeKernelFunctions };
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var chatSemanticFunction = kernel.CreateFunctionFromPrompt(
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ChatPrompt, executionSettings);
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var chatPromptResult = await kernel.InvokeAsync(chatSemanticFunction);
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Console.WriteLine(chatPromptResult);
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}
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public sealed class WeatherPlugin
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{
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[KernelFunction]
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[Description("Get the current weather in a given location.")]
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public string GetWeather(
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[Description("The city and department, e.g. Marseille, 13")] string location
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) => "12°C\nWind: 11 KMPH\nHumidity: 48%\nMostly cloudy";
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}
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public sealed class WidgetPlugin
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{
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[KernelFunction]
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[Description("Creates a new widget of the specified type and colors")]
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public string CreateWidget([Description("The colors of the widget to be created")] WidgetColor[] widgetColors)
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{
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var colors = string.Join('-', widgetColors.Select(c => c.GetDisplayName()).ToArray());
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return $"Widget created with colors: {colors}";
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}
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}
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[JsonConverter(typeof(JsonStringEnumConverter))]
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public enum WidgetColor
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{
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[Description("Use when creating a red item.")]
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Red,
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[Description("Use when creating a green item.")]
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Green,
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[Description("Use when creating a blue item.")]
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Blue
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}
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private Kernel CreateKernelWithWeatherPlugin()
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{
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// Create a logging handler to output HTTP requests and responses
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var handler = new LoggingHandler(new HttpClientHandler(), this.Output);
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HttpClient httpClient = new(handler);
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// Create a kernel with MistralAI chat completion and WeatherPlugin
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IKernelBuilder kernelBuilder = Kernel.CreateBuilder();
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kernelBuilder.AddMistralChatCompletion(
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modelId: TestConfiguration.MistralAI.ChatModelId!,
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apiKey: TestConfiguration.MistralAI.ApiKey!,
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httpClient: httpClient);
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kernelBuilder.Plugins.AddFromType<WeatherPlugin>();
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Kernel kernel = kernelBuilder.Build();
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return kernel;
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}
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}
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