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@@ -0,0 +1,22 @@
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFrameworks>net10.0</TargetFrameworks>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.OpenAI" />
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<PackageReference Include="Azure.Identity" />
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<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
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<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
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</ItemGroup>
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</Project>
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@@ -0,0 +1,240 @@
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// Copyright (c) Microsoft. All rights reserved.
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using System.Text.Json;
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using System.Text.Json.Serialization;
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using Azure.AI.OpenAI;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Agents.AI.Workflows;
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using Microsoft.Extensions.AI;
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namespace WorkflowCustomAgentExecutorsSample;
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/// <summary>
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/// This sample demonstrates how to create custom executors for AI agents.
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/// This is useful when you want more control over the agent's behaviors in a workflow.
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///
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/// In this example, we create two custom executors:
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/// 1. SloganWriterExecutor: An AI agent that generates slogans based on a given task.
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/// 2. FeedbackExecutor: An AI agent that provides feedback on the generated slogans.
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/// (These two executors manage the agent instances and their conversation threads.)
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///
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/// The workflow alternates between these two executors until the slogan meets a certain
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/// quality threshold or a maximum number of attempts is reached.
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/// </summary>
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/// <remarks>
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/// Pre-requisites:
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/// - Foundational samples should be completed first.
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/// - An Azure OpenAI chat completion deployment that supports structured outputs must be configured.
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/// </remarks>
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public static class Program
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{
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private static async Task Main()
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{
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// Set up the Azure OpenAI client
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var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
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var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
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// Create the executors
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var sloganWriter = new SloganWriterExecutor("SloganWriter", chatClient);
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var feedbackProvider = new FeedbackExecutor("FeedbackProvider", chatClient);
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// Build the workflow by adding executors and connecting them
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var workflow = new WorkflowBuilder(sloganWriter)
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.AddEdge(sloganWriter, feedbackProvider)
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.AddEdge(feedbackProvider, sloganWriter)
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.WithOutputFrom(feedbackProvider)
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.Build();
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// Execute the workflow
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await using StreamingRun run = await InProcessExecution.StreamAsync(workflow, input: "Create a slogan for a new electric SUV that is affordable and fun to drive.");
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await foreach (WorkflowEvent evt in run.WatchStreamAsync())
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{
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if (evt is SloganGeneratedEvent or FeedbackEvent)
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{
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// Custom events to allow us to monitor the progress of the workflow.
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Console.WriteLine($"{evt}");
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}
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if (evt is WorkflowOutputEvent outputEvent)
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{
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Console.WriteLine($"{outputEvent}");
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}
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}
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}
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}
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/// <summary>
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/// A class representing the output of the slogan writer agent.
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/// </summary>
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public sealed class SloganResult
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{
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[JsonPropertyName("task")]
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public required string Task { get; set; }
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[JsonPropertyName("slogan")]
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public required string Slogan { get; set; }
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}
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/// <summary>
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/// A class representing the output of the feedback agent.
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/// </summary>
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public sealed class FeedbackResult
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{
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[JsonPropertyName("comments")]
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public string Comments { get; set; } = string.Empty;
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[JsonPropertyName("rating")]
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public int Rating { get; set; }
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[JsonPropertyName("actions")]
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public string Actions { get; set; } = string.Empty;
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}
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/// <summary>
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/// A custom event to indicate that a slogan has been generated.
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/// </summary>
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internal sealed class SloganGeneratedEvent(SloganResult sloganResult) : WorkflowEvent(sloganResult)
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{
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public override string ToString() => $"Slogan: {sloganResult.Slogan}";
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}
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/// <summary>
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/// A custom executor that uses an AI agent to generate slogans based on a given task.
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/// Note that this executor has two message handlers:
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/// 1. HandleAsync(string message): Handles the initial task to create a slogan.
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/// 2. HandleAsync(Feedback message): Handles feedback to improve the slogan.
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/// </summary>
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internal sealed class SloganWriterExecutor : Executor
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{
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private readonly AIAgent _agent;
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private AgentThread? _thread;
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/// <summary>
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/// Initializes a new instance of the <see cref="SloganWriterExecutor"/> class.
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/// </summary>
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/// <param name="id">A unique identifier for the executor.</param>
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/// <param name="chatClient">The chat client to use for the AI agent.</param>
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public SloganWriterExecutor(string id, IChatClient chatClient) : base(id)
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{
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ChatClientAgentOptions agentOptions = new()
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{
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ChatOptions = new()
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{
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Instructions = "You are a professional slogan writer. You will be given a task to create a slogan.",
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ResponseFormat = ChatResponseFormat.ForJsonSchema<SloganResult>()
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}
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};
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this._agent = new ChatClientAgent(chatClient, agentOptions);
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}
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protected override RouteBuilder ConfigureRoutes(RouteBuilder routeBuilder) =>
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routeBuilder.AddHandler<string, SloganResult>(this.HandleAsync)
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.AddHandler<FeedbackResult, SloganResult>(this.HandleAsync);
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public async ValueTask<SloganResult> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
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{
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this._thread ??= await this._agent.GetNewThreadAsync(cancellationToken);
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var result = await this._agent.RunAsync(message, this._thread, cancellationToken: cancellationToken);
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var sloganResult = JsonSerializer.Deserialize<SloganResult>(result.Text) ?? throw new InvalidOperationException("Failed to deserialize slogan result.");
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await context.AddEventAsync(new SloganGeneratedEvent(sloganResult), cancellationToken);
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return sloganResult;
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}
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public async ValueTask<SloganResult> HandleAsync(FeedbackResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
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{
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var feedbackMessage = $"""
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Here is the feedback on your previous slogan:
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Comments: {message.Comments}
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Rating: {message.Rating}
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Suggested Actions: {message.Actions}
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Please use this feedback to improve your slogan.
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""";
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var result = await this._agent.RunAsync(feedbackMessage, this._thread, cancellationToken: cancellationToken);
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var sloganResult = JsonSerializer.Deserialize<SloganResult>(result.Text) ?? throw new InvalidOperationException("Failed to deserialize slogan result.");
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await context.AddEventAsync(new SloganGeneratedEvent(sloganResult), cancellationToken);
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return sloganResult;
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}
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}
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/// <summary>
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/// A custom event to indicate that feedback has been provided.
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/// </summary>
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internal sealed class FeedbackEvent(FeedbackResult feedbackResult) : WorkflowEvent(feedbackResult)
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{
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private readonly JsonSerializerOptions _options = new() { WriteIndented = true };
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public override string ToString() => $"Feedback:\n{JsonSerializer.Serialize(feedbackResult, this._options)}";
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}
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/// <summary>
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/// A custom executor that uses an AI agent to provide feedback on a slogan.
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/// </summary>
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internal sealed class FeedbackExecutor : Executor<SloganResult>
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{
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private readonly AIAgent _agent;
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private AgentThread? _thread;
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public int MinimumRating { get; init; } = 8;
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public int MaxAttempts { get; init; } = 3;
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private int _attempts;
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/// <summary>
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/// Initializes a new instance of the <see cref="FeedbackExecutor"/> class.
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/// </summary>
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/// <param name="id">A unique identifier for the executor.</param>
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/// <param name="chatClient">The chat client to use for the AI agent.</param>
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public FeedbackExecutor(string id, IChatClient chatClient) : base(id)
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{
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ChatClientAgentOptions agentOptions = new()
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{
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ChatOptions = new()
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{
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Instructions = "You are a professional editor. You will be given a slogan and the task it is meant to accomplish.",
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ResponseFormat = ChatResponseFormat.ForJsonSchema<FeedbackResult>()
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}
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};
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this._agent = new ChatClientAgent(chatClient, agentOptions);
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}
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public override async ValueTask HandleAsync(SloganResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
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{
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this._thread ??= await this._agent.GetNewThreadAsync(cancellationToken);
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var sloganMessage = $"""
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Here is a slogan for the task '{message.Task}':
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Slogan: {message.Slogan}
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Please provide feedback on this slogan, including comments, a rating from 1 to 10, and suggested actions for improvement.
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""";
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var response = await this._agent.RunAsync(sloganMessage, this._thread, cancellationToken: cancellationToken);
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var feedback = JsonSerializer.Deserialize<FeedbackResult>(response.Text) ?? throw new InvalidOperationException("Failed to deserialize feedback.");
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await context.AddEventAsync(new FeedbackEvent(feedback), cancellationToken);
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if (feedback.Rating >= this.MinimumRating)
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{
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await context.YieldOutputAsync($"The following slogan was accepted:\n\n{message.Slogan}", cancellationToken);
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return;
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}
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if (this._attempts >= this.MaxAttempts)
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{
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await context.YieldOutputAsync($"The slogan was rejected after {this.MaxAttempts} attempts. Final slogan:\n\n{message.Slogan}", cancellationToken);
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return;
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}
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await context.SendMessageAsync(feedback, cancellationToken: cancellationToken);
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this._attempts++;
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}
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}
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