code updates

Author: alexwolfmsft

articles/ai-services/openai/includes/chatgpt-dotnet.md

@@ -88,6 +88,7 @@ This will wait until the model has generated its entire response before printing
 ```csharp
 using Azure;
 using Azure.AI.OpenAI;
+using OpenAI.Chat;
 using static System.Environment;
 
 string endpoint = GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT");
@@ -98,7 +99,7 @@ AzureOpenAIClient azureClient = new(
     new AzureKeyCredential(key));
 
 // This must match the custom deployment name you chose for your model
-ChatClient chatClient = azureClient.GetChatClient("trubo");
+ChatClient chatClient = azureClient.GetChatClient("gpt-35-turbo");
 
 var chatUpdates = chatClient.CompleteChatStreamingAsync(
     [

articles/ai-services/openai/includes/dall-e-dotnet.md

@@ -70,38 +70,30 @@ dotnet add package Azure.AI.OpenAI --version 1.0.0-beta.6
 From the project directory, open the *program.cs* file and replace with the following code:
 
 ```csharp
-using System;
-using System.IO;
-using System.Threading.Tasks;
+using Azure;
 using Azure.AI.OpenAI;
+using OpenAI.Images;
+using static System.Environment;
 
-namespace Azure.AI.OpenAI.Tests.Samples
-{
-    public partial class GenerateImages
-    {
-        // add an async Main method:
-        public static async Task Main(string[] args)
+string endpoint = GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT");
+string key = GetEnvironmentVariable("AZURE_OPENAI_API_KEY");
+
+AzureOpenAIClient azureClient = new(
+    new Uri(endpoint),
+    new AzureKeyCredential(key));
+
+// This must match the custom deployment name you chose for your model
+ImageClient chatClient = azureClient.GetImageClient("dalle-3");
+
+var imageGeneration = await chatClient.GenerateImageAsync(
+        "a happy monkey sitting in a tree, in watercolor",
+        new ImageGenerationOptions()
         {
-            string endpoint = GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT");
-            string key = GetEnvironmentVariable("AZURE_OPENAI_API_KEY");
-
-            OpenAIClient client = new(new Uri(endpoint), new AzureKeyCredential(key));
-
-            Response<ImageGenerations> imageGenerations = await client.GetImageGenerationsAsync(
-                new ImageGenerationOptions()
-                {
-                    Prompt = "a happy monkey eating a banana, in watercolor",
-                    Size = ImageSize.Size256x256,
-                });
-
-            // Image Generations responses provide URLs you can use to retrieve requested images
-            Uri imageUri = imageGenerations.Value.Data[0].Url;
-            
-            // Print the image URI to console:
-            Console.WriteLine(imageUri);
+            Size = GeneratedImageSize.W1024xH1024
         }
-    }
-}
+    );
+
+Console.WriteLine(imageGeneration.Value.ImageUri);
 ```
 
 Build and run the application from your application directory with these commands:

articles/ai-services/openai/includes/use-your-data-dotnet.md

@@ -125,7 +125,8 @@ This will wait until the model has generated its entire response before printing
 ```csharp
 using Azure;
 using Azure.AI.OpenAI;
-using System.Text.Json;
+using Azure.AI.OpenAI.Chat;
+using OpenAI.Chat;
 using static System.Environment;
 
 string azureOpenAIEndpoint = GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT");
@@ -135,40 +136,25 @@ string searchEndpoint = GetEnvironmentVariable("AZURE_AI_SEARCH_ENDPOINT");
 string searchKey = GetEnvironmentVariable("AZURE_AI_SEARCH_API_KEY");
 string searchIndex = GetEnvironmentVariable("AZURE_AI_SEARCH_INDEX");
 
+AzureOpenAIClient azureClient = new(
+    new Uri(azureOpenAIEndpoint),
+    new AzureKeyCredential(azureOpenAIKey));
+ChatClient chatClient = azureClient.GetChatClient(deploymentName);
 
-var client = new OpenAIClient(new Uri(azureOpenAIEndpoint), new AzureKeyCredential(azureOpenAIKey));
-
-var chatCompletionsOptions = new ChatCompletionsOptions()
+ChatCompletionOptions options = new();
+options.AddDataSource(new AzureSearchChatDataSource()
 {
-    DeploymentName = deploymentName,
-    Messages =
-    {
-        new ChatRequestUserMessage("What are my available health plans?"),
-    },
-    AzureExtensionsOptions = new AzureChatExtensionsOptions()
-    {
-        Extensions =
-        {
-            new AzureCognitiveSearchChatExtensionConfiguration()
-            {
-                SearchEndpoint = new Uri(searchEndpoint),
-                Key = searchKey,
-                IndexName = searchIndex,
-            },
-        }
-    }
-};
-await foreach (StreamingChatCompletionsUpdate chatUpdate in client.GetChatCompletionsStreaming(chatCompletionsOptions))
-{
-    if (chatUpdate.Role.HasValue)
-    {
-        Console.Write($"{chatUpdate.Role.Value.ToString().ToUpperInvariant()}: ");
-    }
-    if (!string.IsNullOrEmpty(chatUpdate.ContentUpdate))
-    {
-        Console.Write(chatUpdate.ContentUpdate);
-    }
-}
+    Endpoint = new Uri(searchEndpoint),
+    IndexName = searchIndex,
+    Authentication = DataSourceAuthentication.FromApiKey(searchKey),
+});
+
+ChatCompletion completion = chatClient.CompleteChat(
+    [
+        new UserChatMessage("What are the best-selling Contoso products this month?"),
+    ], options);
+
+Console.WriteLine(completion.Content[0].Text);
 ```
 
 > [!div class="nextstepaction"]