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// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to create and use a simple AI agent with Azure OpenAI as the backend that logs telemetry using OpenTelemetry.
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using Azure.AI.OpenAI;
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using Azure.Identity;
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using Azure.Monitor.OpenTelemetry.Exporter;
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using Microsoft.Agents.AI;
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using OpenAI.Chat;
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using OpenTelemetry;
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using OpenTelemetry.Trace;
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var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
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var applicationInsightsConnectionString = Environment.GetEnvironmentVariable("APPLICATIONINSIGHTS_CONNECTION_STRING");
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// Create TracerProvider with console exporter
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// This will output the telemetry data to the console.
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string sourceName = Guid.NewGuid().ToString("N");
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var tracerProviderBuilder = Sdk.CreateTracerProviderBuilder()
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.AddSource(sourceName)
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.AddConsoleExporter();
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if (!string.IsNullOrWhiteSpace(applicationInsightsConnectionString))
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{
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tracerProviderBuilder.AddAzureMonitorTraceExporter(options => options.ConnectionString = applicationInsightsConnectionString);
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}
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using var tracerProvider = tracerProviderBuilder.Build();
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// Create the agent, and enable OpenTelemetry instrumentation.
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AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
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.GetChatClient(deploymentName)
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.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker")
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.AsBuilder()
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.UseOpenTelemetry(sourceName: sourceName)
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.Build();
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// Invoke the agent and output the text result.
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Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate."));
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// Invoke the agent with streaming support.
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await foreach (var update in agent.RunStreamingAsync("Tell me a joke about a pirate."))
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{
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Console.WriteLine(update);
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}
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