mirror of
https://github.com/microsoft/agent-framework.git
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db8a59bd3d
* Durable Agent samples and automated validation for non-Azure Functions * Update test projects * fix file encoding * Remove AgentThreadMetadata usage * Absorb breaking change from #3152 * Absorb newer breaking changes (AgentRunResponse --> AgentResponse) * Absorb more breaking changes (see #3222) * Improve integration test reliability (isolated task hubs, etc.) * Fix flakey streaming test --------- Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com>
229 lines
8.4 KiB
C#
229 lines
8.4 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using AgentOrchestration_Conditionals;
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using Azure;
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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.DurableTask;
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using Microsoft.DurableTask;
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using Microsoft.DurableTask.Client;
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using Microsoft.DurableTask.Client.AzureManaged;
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using Microsoft.DurableTask.Worker;
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using Microsoft.DurableTask.Worker.AzureManaged;
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using Microsoft.Extensions.DependencyInjection;
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using Microsoft.Extensions.Hosting;
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using Microsoft.Extensions.Logging;
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using OpenAI.Chat;
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// Get the Azure OpenAI endpoint and deployment name from environment variables.
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string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
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?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
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?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
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// Get DTS connection string from environment variable
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string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
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?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
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// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
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string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
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AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
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? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
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: new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
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// Spam detection agent
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const string SpamDetectionAgentName = "SpamDetectionAgent";
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const string SpamDetectionAgentInstructions =
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"""
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You are an expert email spam detection system. Analyze emails and determine if they are spam.
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Return your analysis as JSON with 'is_spam' (boolean) and 'reason' (string) fields.
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""";
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// Email assistant agent
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const string EmailAssistantAgentName = "EmailAssistantAgent";
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const string EmailAssistantAgentInstructions =
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"""
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You are a professional email assistant. Draft professional, courteous, and helpful email responses.
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Return your response as JSON with a 'response' field containing the reply.
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""";
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AIAgent spamDetectionAgent = client.GetChatClient(deploymentName).AsAIAgent(SpamDetectionAgentInstructions, SpamDetectionAgentName);
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AIAgent emailAssistantAgent = client.GetChatClient(deploymentName).AsAIAgent(EmailAssistantAgentInstructions, EmailAssistantAgentName);
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// Orchestrator function
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static async Task<string> RunOrchestratorAsync(TaskOrchestrationContext context, Email email)
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{
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// Get the spam detection agent
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DurableAIAgent spamDetectionAgent = context.GetAgent(SpamDetectionAgentName);
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AgentThread spamThread = await spamDetectionAgent.GetNewThreadAsync();
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// Step 1: Check if the email is spam
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AgentResponse<DetectionResult> spamDetectionResponse = await spamDetectionAgent.RunAsync<DetectionResult>(
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message:
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$"""
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Analyze this email for spam content and return a JSON response with 'is_spam' (boolean) and 'reason' (string) fields:
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Email ID: {email.EmailId}
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Content: {email.EmailContent}
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""",
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thread: spamThread);
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DetectionResult result = spamDetectionResponse.Result;
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// Step 2: Conditional logic based on spam detection result
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if (result.IsSpam)
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{
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// Handle spam email
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return await context.CallActivityAsync<string>(nameof(HandleSpamEmail), result.Reason);
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}
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// Generate and send response for legitimate email
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DurableAIAgent emailAssistantAgent = context.GetAgent(EmailAssistantAgentName);
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AgentThread emailThread = await emailAssistantAgent.GetNewThreadAsync();
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AgentResponse<EmailResponse> emailAssistantResponse = await emailAssistantAgent.RunAsync<EmailResponse>(
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message:
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$"""
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Draft a professional response to this email. Return a JSON response with a 'response' field containing the reply:
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Email ID: {email.EmailId}
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Content: {email.EmailContent}
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""",
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thread: emailThread);
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EmailResponse emailResponse = emailAssistantResponse.Result;
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return await context.CallActivityAsync<string>(nameof(SendEmail), emailResponse.Response);
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}
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// Activity functions
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static void HandleSpamEmail(TaskActivityContext context, string reason)
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{
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Console.WriteLine($"Email marked as spam: {reason}");
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}
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static void SendEmail(TaskActivityContext context, string message)
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{
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Console.WriteLine($"Email sent: {message}");
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}
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// Configure the console app to host the AI agents.
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IHost host = Host.CreateDefaultBuilder(args)
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.ConfigureLogging(loggingBuilder => loggingBuilder.SetMinimumLevel(LogLevel.Warning))
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.ConfigureServices(services =>
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{
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services.ConfigureDurableAgents(
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options =>
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{
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options
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.AddAIAgent(spamDetectionAgent)
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.AddAIAgent(emailAssistantAgent);
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},
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workerBuilder: builder =>
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{
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builder.UseDurableTaskScheduler(dtsConnectionString);
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builder.AddTasks(registry =>
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{
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registry.AddOrchestratorFunc<Email>(nameof(RunOrchestratorAsync), RunOrchestratorAsync);
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registry.AddActivityFunc<string>(nameof(HandleSpamEmail), HandleSpamEmail);
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registry.AddActivityFunc<string>(nameof(SendEmail), SendEmail);
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});
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},
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clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
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})
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.Build();
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await host.StartAsync();
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DurableTaskClient durableTaskClient = host.Services.GetRequiredService<DurableTaskClient>();
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// Console colors for better UX
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Console.ForegroundColor = ConsoleColor.Cyan;
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Console.WriteLine("=== Multi-Agent Conditional Orchestration Sample ===");
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Console.ResetColor();
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Console.WriteLine("Enter email content:");
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Console.WriteLine();
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// Read email content from stdin
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string? emailContent = Console.ReadLine();
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if (string.IsNullOrWhiteSpace(emailContent))
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{
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Console.ForegroundColor = ConsoleColor.Red;
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Console.Error.WriteLine("Error: Email content is required.");
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Console.ResetColor();
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Environment.Exit(1);
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return;
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}
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// Generate email ID automatically
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Email email = new()
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{
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EmailId = $"email-{Guid.NewGuid():N}",
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EmailContent = emailContent
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};
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Console.WriteLine();
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Console.ForegroundColor = ConsoleColor.Gray;
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Console.WriteLine("Starting orchestration...");
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Console.ResetColor();
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try
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{
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// Start the orchestration
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string instanceId = await durableTaskClient.ScheduleNewOrchestrationInstanceAsync(
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orchestratorName: nameof(RunOrchestratorAsync),
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input: email);
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Console.ForegroundColor = ConsoleColor.Gray;
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Console.WriteLine($"Orchestration started with instance ID: {instanceId}");
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Console.WriteLine("Waiting for completion...");
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Console.ResetColor();
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// Wait for orchestration to complete
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OrchestrationMetadata status = await durableTaskClient.WaitForInstanceCompletionAsync(
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instanceId,
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getInputsAndOutputs: true,
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CancellationToken.None);
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Console.WriteLine();
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if (status.RuntimeStatus == OrchestrationRuntimeStatus.Completed)
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{
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Console.ForegroundColor = ConsoleColor.Green;
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Console.WriteLine("✓ Orchestration completed successfully!");
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Console.ResetColor();
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Console.WriteLine();
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Console.ForegroundColor = ConsoleColor.Yellow;
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Console.Write("Result: ");
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Console.ResetColor();
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Console.WriteLine(status.ReadOutputAs<string>());
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}
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else if (status.RuntimeStatus == OrchestrationRuntimeStatus.Failed)
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{
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Console.ForegroundColor = ConsoleColor.Red;
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Console.WriteLine("✗ Orchestration failed!");
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Console.ResetColor();
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if (status.FailureDetails != null)
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{
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Console.WriteLine($"Error: {status.FailureDetails.ErrorMessage}");
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}
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Environment.Exit(1);
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}
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else
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{
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Console.ForegroundColor = ConsoleColor.Yellow;
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Console.WriteLine($"Orchestration status: {status.RuntimeStatus}");
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Console.ResetColor();
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}
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}
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catch (Exception ex)
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{
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Console.ForegroundColor = ConsoleColor.Red;
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Console.Error.WriteLine($"Error: {ex.Message}");
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Console.ResetColor();
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Environment.Exit(1);
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}
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finally
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{
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await host.StopAsync();
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}
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