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>
192 lines
7.0 KiB
C#
192 lines
7.0 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using System.Text.Json;
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using AgentOrchestration_Concurrency;
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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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// Two agents used by the orchestration to demonstrate concurrent execution.
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const string PhysicistName = "PhysicistAgent";
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const string PhysicistInstructions = "You are an expert in physics. You answer questions from a physics perspective.";
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const string ChemistName = "ChemistAgent";
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const string ChemistInstructions = "You are a middle school chemistry teacher. You answer questions so that middle school students can understand.";
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AIAgent physicistAgent = client.GetChatClient(deploymentName).AsAIAgent(PhysicistInstructions, PhysicistName);
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AIAgent chemistAgent = client.GetChatClient(deploymentName).AsAIAgent(ChemistInstructions, ChemistName);
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// Orchestrator function
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static async Task<object> RunOrchestratorAsync(TaskOrchestrationContext context, string prompt)
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{
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// Get both agents
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DurableAIAgent physicist = context.GetAgent(PhysicistName);
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DurableAIAgent chemist = context.GetAgent(ChemistName);
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// Start both agent runs concurrently
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Task<AgentResponse<TextResponse>> physicistTask = physicist.RunAsync<TextResponse>(prompt);
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Task<AgentResponse<TextResponse>> chemistTask = chemist.RunAsync<TextResponse>(prompt);
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// Wait for both tasks to complete using Task.WhenAll
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await Task.WhenAll(physicistTask, chemistTask);
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// Get the results
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TextResponse physicistResponse = (await physicistTask).Result;
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TextResponse chemistResponse = (await chemistTask).Result;
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// Return the result as a structured, anonymous type
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return new
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{
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physicist = physicistResponse.Text,
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chemist = chemistResponse.Text,
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};
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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(physicistAgent)
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.AddAIAgent(chemistAgent);
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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(
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registry => registry.AddOrchestratorFunc<string, object>(nameof(RunOrchestratorAsync), RunOrchestratorAsync));
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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 Concurrent Orchestration Sample ===");
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Console.ResetColor();
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Console.WriteLine("Enter a question for the agents:");
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Console.WriteLine();
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// Read prompt from stdin
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string? prompt = Console.ReadLine();
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if (string.IsNullOrWhiteSpace(prompt))
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{
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Console.ForegroundColor = ConsoleColor.Red;
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Console.Error.WriteLine("Error: Prompt 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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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: prompt);
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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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// Parse the output
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using JsonDocument doc = JsonDocument.Parse(status.SerializedOutput!);
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JsonElement output = doc.RootElement;
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Console.ForegroundColor = ConsoleColor.Yellow;
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Console.WriteLine("Physicist's response:");
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Console.ResetColor();
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Console.WriteLine(output.GetProperty("physicist").GetString());
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Console.WriteLine();
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Console.ForegroundColor = ConsoleColor.Yellow;
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Console.WriteLine("Chemist's response:");
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Console.ResetColor();
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Console.WriteLine(output.GetProperty("chemist").GetString());
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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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