Files
agent-framework/dotnet/samples/GettingStarted/AgentOpenTelemetry/Program.cs
T
westey 3571a7d321 .NET: [BREAKING] Subclass AgentThread so that different agents have their own threads with their own typed settings. (#798)
* Subclass AgentThread so that different agents have their own threads with their own typed settings.

* Address PR comment.

* Add unit tests for base abstract threads

* Fix style warning

* Fix stlying

* FIx and suppress warnings as needed.

* Remove covariant thread response types and fix some styling.

* Remove unecessary json property name attributes and make OrchestratingAgentThread private

* Fix break from merge from main.

* Fix formatting

* Fix deserialization bug in Memory sample

* Remove thread deletion from basic samples.

* Remove public constructors for thread subclasses and add more factory methods to concrete agent types.

* Update AgentProxy thread constructors to be internal as well.

* Revert AgentProxyThread to internal

* Change AIContextProvider to internal set

* Change conversation id and message store properties to internal set

* Update styling.

* Seal various thread types.

* Add thread type check for thread deletion

* Fix tests after latest merge from main

* Add thread type checks for thread deletion.

---------

Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
2025-09-23 10:30:06 +00:00

218 lines
9.2 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using System.ComponentModel;
using System.Diagnostics;
using System.Diagnostics.Metrics;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.AI.Agents;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Logging;
using OpenTelemetry;
using OpenTelemetry.Logs;
using OpenTelemetry.Metrics;
using OpenTelemetry.Resources;
using OpenTelemetry.Trace;
#region Setup Telemetry
const string SourceName = "OpenTelemetryAspire.ConsoleApp";
const string ServiceName = "AgentOpenTelemetry";
// Enable telemetry for agents
AppContext.SetSwitch("Microsoft.Extensions.AI.Agents.EnableTelemetry", true);
// Configure OpenTelemetry for Aspire dashboard
var otlpEndpoint = Environment.GetEnvironmentVariable("OTEL_EXPORTER_OTLP_ENDPOINT") ?? "http://localhost:4318";
// Create a resource to identify this service
var resource = ResourceBuilder.CreateDefault()
.AddService(ServiceName, serviceVersion: "1.0.0")
.AddAttributes(new Dictionary<string, object>
{
["service.instance.id"] = Environment.MachineName,
["deployment.environment"] = "development"
})
.Build();
// Setup tracing with resource
using var tracerProvider = Sdk.CreateTracerProviderBuilder()
.SetResourceBuilder(ResourceBuilder.CreateDefault().AddService(ServiceName, serviceVersion: "1.0.0"))
.AddSource(SourceName) // Our custom activity source
.AddSource("Microsoft.Extensions.AI.Agents") // Agent Framework telemetry
.AddHttpClientInstrumentation() // Capture HTTP calls to OpenAI
.AddOtlpExporter(options => options.Endpoint = new Uri(otlpEndpoint))
.Build();
// Setup metrics with resource and instrument name filtering
using var meterProvider = Sdk.CreateMeterProviderBuilder()
.SetResourceBuilder(ResourceBuilder.CreateDefault().AddService(ServiceName, serviceVersion: "1.0.0"))
.AddMeter(SourceName) // Our custom meter
.AddMeter("Microsoft.Extensions.AI.Agents") // Agent Framework metrics
.AddHttpClientInstrumentation() // HTTP client metrics
.AddRuntimeInstrumentation() // .NET runtime metrics
.AddOtlpExporter(options => options.Endpoint = new Uri(otlpEndpoint))
.Build();
// Setup structured logging with OpenTelemetry
var serviceCollection = new ServiceCollection();
serviceCollection.AddLogging(loggingBuilder => loggingBuilder
.SetMinimumLevel(LogLevel.Debug)
.AddOpenTelemetry(options =>
{
options.SetResourceBuilder(ResourceBuilder.CreateDefault().AddService(ServiceName, serviceVersion: "1.0.0"));
options.AddOtlpExporter(otlpOptions => otlpOptions.Endpoint = new Uri(otlpEndpoint));
options.IncludeScopes = true;
options.IncludeFormattedMessage = true;
}));
using var activitySource = new ActivitySource(SourceName);
using var meter = new Meter(SourceName);
// Create custom metrics
var interactionCounter = meter.CreateCounter<int>("agent_interactions_total", description: "Total number of agent interactions");
var responseTimeHistogram = meter.CreateHistogram<double>("agent_response_time_seconds", description: "Agent response time in seconds");
#endregion
var serviceProvider = serviceCollection.BuildServiceProvider();
var loggerFactory = serviceProvider.GetRequiredService<ILoggerFactory>();
var appLogger = loggerFactory.CreateLogger<Program>();
Console.WriteLine("""
=== OpenTelemetry Aspire Demo ===
This demo shows OpenTelemetry integration with the Agent Framework.
You can view the telemetry data in the Aspire Dashboard.
Type your message and press Enter. Type 'exit' or empty message to quit.
""");
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT environment variable is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
// Log application startup
appLogger.LogInformation("OpenTelemetry Aspire Demo application started");
[Description("Get the weather for a given location.")]
static async Task<string> GetWeatherAsync([Description("The location to get the weather for.")] string location)
{
await Task.Delay(2000);
return $"The weather in {location} is cloudy with a high of 15°C.";
}
// To ensure chat client's function calling is captured in the open telemetry, the chat client needs to have UseOpenTelemetry after UseFunctionInvocation
using var instrumentedChatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
.GetChatClient(deploymentName)
.AsIChatClient() // Converts a native OpenAI SDK ChatClient into a Microsoft.Extensions.AI.IChatClient
.AsBuilder()
.UseFunctionInvocation()
.UseOpenTelemetry(loggerFactory: loggerFactory, sourceName: SourceName, (cfg) => cfg.EnableSensitiveData = true)
.Build();
appLogger.LogInformation("Creating Agent with OpenTelemetry instrumentation");
// Create the agent with the instrumented chat client
using var agent = new ChatClientAgent(instrumentedChatClient,
name: "OpenTelemetryDemoAgent",
instructions: "You are a helpful assistant that provides concise and informative responses.",
tools: [AIFunctionFactory.Create(GetWeatherAsync)])
.WithOpenTelemetry(loggerFactory, SourceName); // Enable telemetry on the agent
var thread = agent.GetNewThread();
appLogger.LogInformation("Agent created successfully with ID: {AgentId}", agent.Id);
// Create a parent span for the entire agent session
using var sessionActivity = activitySource.StartActivity("Agent Session");
var sessionId = Guid.NewGuid().ToString();
sessionActivity?
.SetTag("agent.name", "OpenTelemetryDemoAgent")
.SetTag("session.id", sessionId)
.SetTag("session.start_time", DateTimeOffset.UtcNow.ToString("O"));
appLogger.LogInformation("Starting agent session with ID: {SessionId}", sessionId);
using (appLogger.BeginScope(new Dictionary<string, object> { ["SessionId"] = sessionId, ["AgentName"] = "OpenTelemetryDemoAgent" }))
{
var interactionCount = 0;
while (true)
{
Console.Write("You: ");
var userInput = Console.ReadLine();
if (string.IsNullOrWhiteSpace(userInput) || userInput.Equals("exit", StringComparison.OrdinalIgnoreCase))
{
appLogger.LogInformation("User requested to exit the session");
break;
}
interactionCount++;
appLogger.LogInformation("Processing user interaction #{InteractionNumber}: {UserInput}", interactionCount, userInput);
// Create a child span for each individual interaction
using var activity = activitySource.StartActivity("Agent Interaction");
activity?
.SetTag("user.input", userInput)
.SetTag("agent.name", "OpenTelemetryDemoAgent")
.SetTag("interaction.number", interactionCount);
var stopwatch = Stopwatch.StartNew();
try
{
appLogger.LogDebug("Starting agent execution for interaction #{InteractionNumber}", interactionCount);
Console.Write("Agent: ");
// Run the agent (this will create its own internal telemetry spans)
await foreach (var update in agent.RunStreamingAsync(userInput, thread))
{
Console.Write(update.Text);
}
Console.WriteLine();
stopwatch.Stop();
var responseTime = stopwatch.Elapsed.TotalSeconds;
// Record metrics (similar to Python example)
interactionCounter.Add(1, new KeyValuePair<string, object?>("status", "success"));
responseTimeHistogram.Record(responseTime,
new KeyValuePair<string, object?>("status", "success"));
activity?.SetTag("response.success", true);
appLogger.LogInformation("Agent interaction #{InteractionNumber} completed successfully in {ResponseTime:F2} seconds",
interactionCount, responseTime);
}
catch (Exception ex)
{
Console.WriteLine($"Error: {ex.Message}");
Console.WriteLine();
stopwatch.Stop();
var responseTime = stopwatch.Elapsed.TotalSeconds;
// Record error metrics
interactionCounter.Add(1, new KeyValuePair<string, object?>("status", "error"));
responseTimeHistogram.Record(responseTime,
new KeyValuePair<string, object?>("status", "error"));
activity?
.SetTag("response.success", false)
.SetTag("error.message", ex.Message)
.SetStatus(ActivityStatusCode.Error, ex.Message);
appLogger.LogError(ex, "Agent interaction #{InteractionNumber} failed after {ResponseTime:F2} seconds: {ErrorMessage}",
interactionCount, responseTime, ex.Message);
}
}
// Add session summary to the parent span
sessionActivity?
.SetTag("session.total_interactions", interactionCount)
.SetTag("session.end_time", DateTimeOffset.UtcNow.ToString("O"));
appLogger.LogInformation("Agent session completed. Total interactions: {TotalInteractions}", interactionCount);
} // End of logging scope
appLogger.LogInformation("OpenTelemetry Aspire Demo application shutting down");