agent-framework/dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step10_UsingImages/Program.cs

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

// This sample shows how to use Image Multi-Modality with an AI agent.

using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;

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";

const string VisionInstructions = "You are a helpful agent that can analyze images";
const string VisionName = "VisionAgent";

// 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: VisionName, model: deploymentName, instructions: VisionInstructions);

ChatMessage message = new(ChatRole.User, [
    new TextContent("What do you see in this image?"),
    await DataContent.LoadFromAsync("assets/walkway.jpg"),
]);

AgentSession session = await agent.CreateSessionAsync();

await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(message, session))
{
    Console.WriteLine(update);
}

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