chore: import upstream snapshot with attribution
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@@ -0,0 +1,125 @@
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// Copyright (c) Microsoft. All rights reserved.
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using Azure.AI.Projects;
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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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string endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT")
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?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
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// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
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// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
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// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
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AIProjectClient projectClient = new(new Uri(endpoint), new DefaultAzureCredential());
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IChatClient chatClient = projectClient.ProjectOpenAIClient
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.GetChatClient(deploymentName)
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.AsIChatClient();
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Workflow workflow = CreateWorkflow(chatClient);
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await RunWorkflowAsync(workflow).ConfigureAwait(false);
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static Workflow CreateWorkflow(IChatClient chatClient)
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{
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AgentRegistry agents = new(chatClient);
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HandoffWorkflowBuilder handoffBuilder = AgentWorkflowBuilder.CreateHandoffBuilderWith(agents.IntakeAgent);
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// Add a handoff to each of the experts from every agent in the registry (experts + Intake)
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foreach (AIAgent expert in agents.Experts)
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{
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handoffBuilder.WithHandoffs(agents.All.Except([expert]), expert);
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}
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// Let agents request more user information and return to the asking agent (rather than going back to the intake agent)
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handoffBuilder.EnableReturnToPrevious();
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return handoffBuilder.Build();
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}
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static async Task RunWorkflowAsync(Workflow workflow)
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{
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using CancellationTokenSource cts = CreateConsoleCancelKeySource();
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await using StreamingRun run = await InProcessExecution.OpenStreamingAsync(workflow, cancellationToken: cts.Token)
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.ConfigureAwait(false);
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bool hadError = false;
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do
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{
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Console.Write("> ");
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string userInput = Console.ReadLine() ?? string.Empty;
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if (userInput.Equals("exit", StringComparison.OrdinalIgnoreCase))
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{
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break;
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}
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await run.TrySendMessageAsync(userInput);
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string? speakingAgent = null;
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await foreach (WorkflowEvent evt in run.WatchStreamAsync(cts.Token))
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{
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switch (evt)
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{
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case AgentResponseUpdateEvent update:
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{
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if (speakingAgent == null || speakingAgent != update.Update.AuthorName)
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{
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speakingAgent = update.Update.AuthorName;
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Console.Write($"\n{speakingAgent}: ");
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}
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Console.Write(update.Update.Text);
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break;
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}
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case WorkflowErrorEvent workflowError:
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{
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Console.ForegroundColor = ConsoleColor.Red;
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if (workflowError.Exception != null)
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{
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Console.WriteLine($"\nWorkflow error: {workflowError.Exception}");
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}
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else
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{
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Console.WriteLine("\nUnknown workflow error occurred.");
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}
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Console.ResetColor();
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hadError = true;
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break;
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}
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case WorkflowWarningEvent workflowWarning when workflowWarning.Data is string message:
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{
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Console.ForegroundColor = ConsoleColor.Yellow;
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Console.WriteLine(message);
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Console.ResetColor();
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break;
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}
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}
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}
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} while (!hadError);
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}
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static CancellationTokenSource CreateConsoleCancelKeySource()
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{
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CancellationTokenSource cts = new();
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// Normally, support a way to detach events, but in this case this is a termination signal, so cleanup will happen
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// as part of application shutdown.
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Console.CancelKeyPress += (s, args) =>
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{
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cts.Cancel();
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// We handle cleanup + termination ourselves
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args.Cancel = true;
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};
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return cts;
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}
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