agent-framework/dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step07_Observability/Program.cs

// Copyright (c) Microsoft. All rights reserved.

// This sample shows how to create and use a simple AI agent with Azure Foundry Agents as the backend that logs telemetry using OpenTelemetry.

using Azure.AI.Projects;
using Azure.Identity;
using Azure.Monitor.OpenTelemetry.Exporter;
using Microsoft.Agents.AI;
using OpenTelemetry;
using OpenTelemetry.Trace;

string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
string? applicationInsightsConnectionString = Environment.GetEnvironmentVariable("APPLICATIONINSIGHTS_CONNECTION_STRING");

const string JokerInstructions = "You are good at telling jokes.";
const string JokerName = "JokerAgent";

// Create TracerProvider with console exporter
// This will output the telemetry data to the console.
string sourceName = Guid.NewGuid().ToString("N");
TracerProviderBuilder tracerProviderBuilder = Sdk.CreateTracerProviderBuilder()
    .AddSource(sourceName)
    .AddConsoleExporter();
if (!string.IsNullOrWhiteSpace(applicationInsightsConnectionString))
{
    tracerProviderBuilder.AddAzureMonitorTraceExporter(options => options.ConnectionString = applicationInsightsConnectionString);
}
using var tracerProvider = tracerProviderBuilder.Build();

// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());

// Define the agent you want to create. (Prompt Agent in this case)
AIAgent agent = (await aiProjectClient.CreateAIAgentAsync(name: JokerName, model: deploymentName, instructions: JokerInstructions))
    .AsBuilder()
    .UseOpenTelemetry(sourceName: sourceName)
    .Build();

// Invoke the agent and output the text result.
AgentSession session = await agent.CreateSessionAsync();
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", session));

// Invoke the agent with streaming support.
session = await agent.CreateSessionAsync();
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("Tell me a joke about a pirate.", session))
{
    Console.WriteLine(update);
}

// Cleanup by agent name removes the agent version created.
await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);