test

dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step07_Observability/FoundryAgents_Step07_Observability.csproj

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+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.Projects" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Azure.Monitor.OpenTelemetry.Exporter" />
+    <PackageReference Include="OpenTelemetry" />
+    <PackageReference Include="OpenTelemetry.Exporter.Console" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step07_Observability/Program.cs

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+// 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.
+AIProjectClient aiProjectClient = new(new Uri(endpoint), new AzureCliCredential());
+
+// 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.
+AgentThread thread = await agent.GetNewThreadAsync();
+Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", thread));
+
+// Invoke the agent with streaming support.
+thread = await agent.GetNewThreadAsync();
+await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("Tell me a joke about a pirate.", thread))
+{
+    Console.WriteLine(update);
+}
+
+// Cleanup by agent name removes the agent version created.
+await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);

dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step07_Observability/README.md

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+# Observability with OpenTelemetry
+
+This sample demonstrates how to add observability to AI agents using OpenTelemetry for tracing and monitoring.
+
+## What this sample demonstrates
+
+- Setting up OpenTelemetry TracerProvider
+- Configuring console exporter for telemetry output
+- Configuring Azure Monitor exporter for Application Insights
+- Adding OpenTelemetry middleware to agents
+- Running agents with telemetry collection (text and streaming)
+- Managing agent lifecycle (creation and deletion)
+
+## Prerequisites
+
+Before you begin, ensure you have the following prerequisites:
+
+- .NET 10 SDK or later
+- Azure Foundry service endpoint and deployment configured
+- Azure CLI installed and authenticated (for Azure credential authentication)
+- (Optional) Application Insights connection string for Azure Monitor integration
+
+**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Azure Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
+
+Set the following environment variables:
+
+```powershell
+$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Azure Foundry resource endpoint
+$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:APPLICATIONINSIGHTS_CONNECTION_STRING="your-connection-string"  # Optional, for Azure Monitor integration
+```
+
+## Run the sample
+
+Navigate to the FoundryAgents sample directory and run:
+
+```powershell
+cd dotnet/samples/GettingStarted/FoundryAgents
+dotnet run --project .\FoundryAgents_Step07_Observability
+```
+
+## Expected behavior
+
+The sample will:
+
+1. Create a TracerProvider with console exporter (and optionally Azure Monitor exporter)
+2. Create an agent named "JokerAgent" with OpenTelemetry middleware
+3. Run the agent with a text prompt and display telemetry traces to console
+4. Run the agent again with streaming and display telemetry traces
+5. Clean up resources by deleting the agent
+