chore: import upstream snapshot with attribution
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// Copyright (c) Microsoft. All rights reserved.
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using System.ComponentModel;
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using System.Text.Json;
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using Events;
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using Microsoft.Extensions.Logging;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Agents;
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using Microsoft.SemanticKernel.ChatCompletion;
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using Microsoft.SemanticKernel.Connectors.OpenAI;
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namespace Step04.Steps;
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/// <summary>
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/// This steps defines actions for the primary agent. This agent is responsible forinteracting with
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/// the user as well as as delegating to a group of agents.
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/// </summary>
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public class ManagerAgentStep : KernelProcessStep
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{
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public const string AgentServiceKey = $"{nameof(ManagerAgentStep)}:{nameof(AgentServiceKey)}";
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public const string ReducerServiceKey = $"{nameof(ManagerAgentStep)}:{nameof(ReducerServiceKey)}";
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public static class ProcessStepFunctions
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{
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public const string InvokeAgent = nameof(InvokeAgent);
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public const string InvokeGroup = nameof(InvokeGroup);
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public const string ReceiveResponse = nameof(ReceiveResponse);
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}
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[KernelFunction(ProcessStepFunctions.InvokeAgent)]
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public async Task InvokeAgentAsync(KernelProcessStepContext context, Kernel kernel, string userInput, ILogger logger)
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{
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// Get the chat history
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IChatHistoryProvider historyProvider = kernel.GetHistory();
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ChatHistory history = await historyProvider.GetHistoryAsync();
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ChatHistoryAgentThread agentThread = new(history);
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// Obtain the agent response
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ChatCompletionAgent agent = kernel.GetAgent<ChatCompletionAgent>(AgentServiceKey);
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await foreach (ChatMessageContent message in agent.InvokeAsync(new ChatMessageContent(AuthorRole.User, userInput), agentThread))
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{
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// Both the input message and response message will automatically be added to the thread, which will update the internal chat history.
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// Emit event for each agent response
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await context.EmitEventAsync(new() { Id = AgentOrchestrationEvents.AgentResponse, Data = message });
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}
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// Commit any changes to the chat history
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await historyProvider.CommitAsync();
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// Evaluate current intent
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IntentResult intent = await IsRequestingUserInputAsync(kernel, history, logger);
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string intentEventId =
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intent.IsRequestingUserInput ?
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AgentOrchestrationEvents.AgentResponded :
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intent.IsWorking ?
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AgentOrchestrationEvents.AgentWorking :
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CommonEvents.UserInputComplete;
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await context.EmitEventAsync(new() { Id = intentEventId });
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}
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[KernelFunction(ProcessStepFunctions.InvokeGroup)]
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public async Task InvokeGroupAsync(KernelProcessStepContext context, Kernel kernel)
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{
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// Get the chat history
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IChatHistoryProvider historyProvider = kernel.GetHistory();
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ChatHistory history = await historyProvider.GetHistoryAsync();
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// Summarize the conversation with the user to use as input to the agent group
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string summary = await kernel.SummarizeHistoryAsync(ReducerServiceKey, history);
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await context.EmitEventAsync(new() { Id = AgentOrchestrationEvents.GroupInput, Data = summary });
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}
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[KernelFunction(ProcessStepFunctions.ReceiveResponse)]
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public async Task ReceiveResponseAsync(KernelProcessStepContext context, Kernel kernel, string response)
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{
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// Get the chat history
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IChatHistoryProvider historyProvider = kernel.GetHistory();
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ChatHistory history = await historyProvider.GetHistoryAsync();
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// Proxy the inner response
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ChatCompletionAgent agent = kernel.GetAgent<ChatCompletionAgent>(AgentServiceKey);
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ChatMessageContent message = new(AuthorRole.Assistant, response) { AuthorName = agent.Name };
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history.Add(message);
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await context.EmitEventAsync(new() { Id = AgentOrchestrationEvents.AgentResponse, Data = message });
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await context.EmitEventAsync(new() { Id = AgentOrchestrationEvents.AgentResponded });
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}
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private static async Task<IntentResult> IsRequestingUserInputAsync(Kernel kernel, ChatHistory history, ILogger logger)
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{
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ChatHistory localHistory =
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[
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new ChatMessageContent(AuthorRole.System, "Analyze the conversation and determine if user input is being solicited."),
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.. history.TakeLast(1)
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];
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IChatCompletionService service = kernel.GetRequiredService<IChatCompletionService>();
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ChatMessageContent response = await service.GetChatMessageContentAsync(localHistory, new OpenAIPromptExecutionSettings { ResponseFormat = typeof(IntentResult) });
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IntentResult intent = JsonSerializer.Deserialize<IntentResult>(response.ToString())!;
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logger.LogTrace("{StepName} Response Intent - {IsRequestingUserInput}: {Rationale}", nameof(ManagerAgentStep), intent.IsRequestingUserInput, intent.Rationale);
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return intent;
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}
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[DisplayName("IntentResult")]
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[Description("this is the result description")]
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public sealed record IntentResult(
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[property:Description("True if user input is requested or solicited. Addressing the user with no specific request is False. Asking a question to the user is True.")]
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bool IsRequestingUserInput,
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[property:Description("True if the user request is being worked on.")]
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bool IsWorking,
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[property:Description("Rationale for the value assigned to IsRequestingUserInput")]
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string Rationale);
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}
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