chore: import upstream snapshot with attribution
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// Copyright (c) Microsoft. All rights reserved.
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#pragma warning disable IDE0005 // Using directive is unnecessary
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using System.Threading.Tasks;
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using Microsoft.AspNetCore.Mvc;
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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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using StepwisePlannerMigration.Models;
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using StepwisePlannerMigration.Plugins;
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using StepwisePlannerMigration.Services;
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#pragma warning restore IDE0005 // Using directive is unnecessary
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namespace StepwisePlannerMigration.Controllers;
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/// <summary>
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/// This controller shows a new recommended approach how to use planning capability by using Auto Function Calling.
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/// </summary>
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[ApiController]
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[Route("auto-function-calling")]
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public class AutoFunctionCallingController : ControllerBase
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{
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private readonly Kernel _kernel;
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private readonly IChatCompletionService _chatCompletionService;
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private readonly IPlanProvider _planProvider;
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public AutoFunctionCallingController(
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Kernel kernel,
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IChatCompletionService chatCompletionService,
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IPlanProvider planProvider)
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{
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this._kernel = kernel;
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this._chatCompletionService = chatCompletionService;
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this._planProvider = planProvider;
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this._kernel.ImportPluginFromType<TimePlugin>();
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this._kernel.ImportPluginFromType<WeatherPlugin>();
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}
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/// <summary>
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/// Action to generate a plan. Generated plan will be populated in <see cref="ChatHistory"/> object.
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/// </summary>
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[HttpPost, Route("generate-plan")]
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public async Task<IActionResult> GeneratePlanAsync(PlanRequest request)
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{
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ChatHistory chatHistory = [];
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chatHistory.AddUserMessage(request.Goal);
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OpenAIPromptExecutionSettings executionSettings = new() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() };
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await this._chatCompletionService.GetChatMessageContentAsync(chatHistory, executionSettings, this._kernel);
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return this.Ok(chatHistory);
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}
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/// <summary>
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/// Action to execute a new plan. When generated plan is not needed,
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/// planning result can be obtained directly with <see cref="Kernel"/> object.
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/// </summary>
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[HttpPost, Route("execute-new-plan")]
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public async Task<IActionResult> ExecuteNewPlanAsync(PlanRequest request)
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{
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OpenAIPromptExecutionSettings executionSettings = new() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() };
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FunctionResult result = await this._kernel.InvokePromptAsync(request.Goal, new(executionSettings));
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return this.Ok(result.ToString());
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}
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/// <summary>
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/// Action to execute existing plan. Generated plans can be stored in permanent storage for reusability.
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/// In this demo application it is stored in file.
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/// </summary>
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[HttpPost, Route("execute-existing-plan")]
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public async Task<IActionResult> ExecuteExistingPlanAsync()
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{
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ChatHistory chatHistory = this._planProvider.GetPlan("auto-function-calling-plan.json");
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OpenAIPromptExecutionSettings executionSettings = new() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() };
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ChatMessageContent result = await this._chatCompletionService.GetChatMessageContentAsync(chatHistory, executionSettings, this._kernel);
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return this.Ok(result.Content);
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}
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}
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