Program.cs

using Azure.AI.OpenAI;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Configuration;
using System.ClientModel;

var config = new ConfigurationBuilder().AddUserSecrets<Program>().Build();
var endpoint = config["endpoint"];
var apiKey = new ApiKeyCredential(config["apikey"]);
var deploymentName = config["AzureOpenAI:Deployment"] ?? "gpt-5-mini";

IChatClient chatClient =
    new AzureOpenAIClient(new Uri(endpoint), apiKey)
        .GetChatClient(deploymentName)
        .AsIChatClient();


// images
string imgRunningShoes = "running-shoes.jpg";
string imgCarLicense = "license.jpg";
string imgReceipt = "german-receipt.jpg";

// prompts
var promptDescribe = "Describe the image";
var promptAnalyze = "How many red shoes are in the picture? and what other shoes colors are there?";
var promptOcr = "What is the text in this picture? Is there a theme for this?";
var promptReceipt = "I bought the coffee and the sausage. How much do I owe? Add a 18% tip.";

// prompts
string systemPrompt = @"You are a useful assistant that describes images using a direct style.";
var prompt = promptDescribe;
string imageFileName = imgRunningShoes;
string image = Path.Combine(Directory.GetParent(Directory.GetCurrentDirectory()).FullName, "images", imageFileName);


List<ChatMessage> messages =
[
    new ChatMessage(Microsoft.Extensions.AI.ChatRole.System, systemPrompt),
    new ChatMessage(Microsoft.Extensions.AI.ChatRole.User, prompt),
];

// read the image bytes, create a new image content part and add it to the messages
AIContent aic = new DataContent(File.ReadAllBytes(image), "image/jpeg");
var message = new ChatMessage(Microsoft.Extensions.AI.ChatRole.User, [aic]);
    messages.Add(message);

// send the messages to the assistant
var response = await chatClient.GetResponseAsync(messages);
Console.WriteLine($"Prompt: {prompt}");
Console.WriteLine($"Image: {imageFileName}");
Console.WriteLine($"Response: {response.Text}");