Update models to gpt-5

docs/ai/conceptual/data-ingestion.md

@@ -88,7 +88,7 @@ The library provides several chunking strategies to fit different use cases:
 These chunking strategies build on the Microsoft.ML.Tokenizers library to intelligently split text into appropriately sized pieces that work well with large language models. The right chunking strategy depends on your document types and how you plan to retrieve information.
 
 ```csharp
-Tokenizer tokenizer = TiktokenTokenizer.CreateForModel("gpt-4");
+Tokenizer tokenizer = TiktokenTokenizer.CreateForModel("gpt-5");
 IngestionChunkerOptions options = new(tokenizer)
 {
     MaxTokensPerChunk = 2000,

docs/ai/evaluation/evaluate-ai-response.md

@@ -19,11 +19,11 @@ In this quickstart, you create an MSTest app to evaluate the quality of a chat r
 
 ## Configure the AI service
 
-To provision an Azure OpenAI service and model using the Azure portal, complete the steps in the [Create and deploy an Azure OpenAI Service resource](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal) article. In the "Deploy a model" step, select the `gpt-4o` model.
+To provision an Azure OpenAI service and model using the Azure portal, complete the steps in the [Create and deploy an Azure OpenAI Service resource](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal) article. In the "Deploy a model" step, select the `gpt-5` model.
 
 ## Create the test app
 
-Complete the following steps to create an MSTest project that connects to the `gpt-4o` AI model.
+Complete the following steps to create an MSTest project that connects to an AI model.
 
 1. In a terminal window, navigate to the directory where you want to create your app, and create a new MSTest app with the `dotnet new` command:
 
@@ -49,7 +49,6 @@ Complete the following steps to create an MSTest project that connects to the `g
     ```bash
     dotnet user-secrets init
     dotnet user-secrets set AZURE_OPENAI_ENDPOINT <your-Azure-OpenAI-endpoint>
-    dotnet user-secrets set AZURE_OPENAI_GPT_NAME gpt-4o
     dotnet user-secrets set AZURE_TENANT_ID <your-tenant-ID>
     ```
 

docs/ai/evaluation/evaluate-safety.md

@@ -16,7 +16,7 @@ In this tutorial, you create an MSTest app to evaluate the *content safety* of a
 
 ## Configure the AI service
 
-To provision an Azure OpenAI service and model using the Azure portal, complete the steps in the [Create and deploy an Azure OpenAI Service resource](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal) article. In the "Deploy a model" step, select the `gpt-4o` model.
+To provision an Azure OpenAI service and model using the Azure portal, complete the steps in the [Create and deploy an Azure OpenAI Service resource](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal) article. In the "Deploy a model" step, select the `gpt-5` model.
 
 > [!TIP]
 > The previous configuration step is only required to fetch the response to be evaluated. To evaluate the safety of a response you already have in hand, you can skip this configuration.
@@ -56,7 +56,6 @@ Complete the following steps to create an MSTest project.
    ```bash
    dotnet user-secrets init
    dotnet user-secrets set AZURE_OPENAI_ENDPOINT <your-Azure-OpenAI-endpoint>
-   dotnet user-secrets set AZURE_OPENAI_GPT_NAME gpt-4o
    dotnet user-secrets set AZURE_TENANT_ID <your-tenant-ID>
    dotnet user-secrets set AZURE_SUBSCRIPTION_ID <your-subscription-ID>
    dotnet user-secrets set AZURE_RESOURCE_GROUP <your-resource-group>

docs/ai/evaluation/evaluate-with-reporting.md

@@ -16,11 +16,11 @@ In this tutorial, you create an MSTest app to evaluate the chat response of an O
 
 ## Configure the AI service
 
-To provision an Azure OpenAI service and model using the Azure portal, complete the steps in the [Create and deploy an Azure OpenAI Service resource](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal) article. In the "Deploy a model" step, select the `gpt-4o` model.
+To provision an Azure OpenAI service and model using the Azure portal, complete the steps in the [Create and deploy an Azure OpenAI Service resource](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal) article. In the "Deploy a model" step, select the `gpt-5` model.
 
 ## Create the test app
 
-Complete the following steps to create an MSTest project that connects to the `gpt-4o` AI model.
+Complete the following steps to create an MSTest project that connects to an AI model.
 
 1. In a terminal window, navigate to the directory where you want to create your app, and create a new MSTest app with the `dotnet new` command:
 
@@ -47,7 +47,6 @@ Complete the following steps to create an MSTest project that connects to the `g
    ```bash
    dotnet user-secrets init
    dotnet user-secrets set AZURE_OPENAI_ENDPOINT <your-Azure-OpenAI-endpoint>
-   dotnet user-secrets set AZURE_OPENAI_GPT_NAME gpt-4o
    dotnet user-secrets set AZURE_TENANT_ID <your-tenant-ID>
    ```
 

docs/ai/evaluation/snippets/evaluate-ai-responses/MyTests.cs

@@ -54,8 +54,8 @@ private static ChatConfiguration GetAzureOpenAIChatConfiguration()
         IConfigurationRoot config = new ConfigurationBuilder().AddUserSecrets<MyTests>().Build();
 
         string endpoint = config["AZURE_OPENAI_ENDPOINT"];
-        string model = config["AZURE_OPENAI_GPT_NAME"];
         string tenantId = config["AZURE_TENANT_ID"];
+        string model = "gpt-5";
 
         // Get a chat client for the Azure OpenAI endpoint.
         AzureOpenAIClient azureClient =

docs/ai/evaluation/snippets/evaluate-safety/MyTests.cs

@@ -74,8 +74,8 @@ private static IChatClient GetAzureOpenAIChatClient()
             .Build();
 
         string endpoint = config["AZURE_OPENAI_ENDPOINT"];
-        string model = config["AZURE_OPENAI_GPT_NAME"];
         string tenantId = config["AZURE_TENANT_ID"];
+        string model = "gpt-5";
 
         // Get an instance of Microsoft.Extensions.AI's <see cref="IChatClient"/>
         // interface for the selected LLM endpoint.

docs/ai/evaluation/snippets/evaluate-with-reporting/MyTests.cs

@@ -25,8 +25,8 @@ private static ChatConfiguration GetAzureOpenAIChatConfiguration()
         IConfigurationRoot config = new ConfigurationBuilder().AddUserSecrets<MyTests>().Build();
 
         string endpoint = config["AZURE_OPENAI_ENDPOINT"];
-        string model = config["AZURE_OPENAI_GPT_NAME"];
         string tenantId = config["AZURE_TENANT_ID"];
+        string model = "gpt-5";
 
         // Get an instance of Microsoft.Extensions.AI's <see cref="IChatClient"/>
         // interface for the selected LLM endpoint.

docs/ai/how-to/snippets/access-data/ArgumentsExample.cs

@@ -38,7 +38,7 @@ public static async Task UseFICC()
 
         string endpoint = config["AZURE_OPENAI_ENDPOINT"];
         string apiKey = config["AZURE_OPENAI_API_KEY"];
-        string model = config["AZURE_OPENAI_GPT_NAME"];
+        string model = "gpt-5";
 
         // <SnippetUseAdditionalProperties>
         FunctionInvokingChatClient client = new FunctionInvokingChatClient(

docs/ai/how-to/snippets/handle-invalid-tool-input/csharp/FunctionInvoker.cs

@@ -12,7 +12,7 @@ static async Task Main()
         string? key = config["OpenAIKey"];
 
         // <BasicInvoker>
-        IChatClient chatClient = new OpenAIClient(key).GetChatClient(model ?? "gpt-4o").AsIChatClient();
+        IChatClient chatClient = new OpenAIClient(key).GetChatClient(model ?? "gpt-5").AsIChatClient();
 
         var functionInvokingClient = new FunctionInvokingChatClient(chatClient)
         {

docs/ai/how-to/snippets/handle-invalid-tool-input/csharp/IncludeDetailedErrors.cs

@@ -11,7 +11,7 @@ static async Task Main()
         string? key = config["OpenAIKey"];
 
         IChatClient client = new ChatClientBuilder(
-            new OpenAIClient(key).GetChatClient(model ?? "gpt-4o").AsIChatClient())
+            new OpenAIClient(key).GetChatClient(model ?? "gpt-5").AsIChatClient())
             .UseFunctionInvocation()
             .Build();
 

docs/ai/how-to/snippets/handle-invalid-tool-input/csharp/StrictSchema.cs

@@ -10,9 +10,9 @@ static async Task Main()
         string? model = config["ModelName"];
         string? key = config["OpenAIKey"];
 
-        // Ensure your model configuration uses a compatible version (e.g., gpt-4o-2024-08-06 or later).
+        // Ensure your model configuration uses a compatible version.
         IChatClient client = new ChatClientBuilder(
-            new OpenAIClient(key).GetChatClient(model ?? "gpt-4o").AsIChatClient())
+            new OpenAIClient(key).GetChatClient(model ?? "gpt-5").AsIChatClient())
             .UseFunctionInvocation()
             .Build();
 

docs/ai/how-to/snippets/use-tokenizers/csharp/TokenizersExamples/TiktokenExample.cs

@@ -13,8 +13,8 @@ public static void Run()
     private static void BasicUsage()
     {
         // <TiktokenBasic>
-        // Initialize the tokenizer for the gpt-4o model.
-        Tokenizer tokenizer = TiktokenTokenizer.CreateForModel("gpt-4o");
+        // Initialize the tokenizer for the gpt-5 model.
+        Tokenizer tokenizer = TiktokenTokenizer.CreateForModel("gpt-5");
 
         string source = "Text tokenization is the process of splitting a string into a list of tokens.";
 
@@ -37,7 +37,7 @@ private static void BasicUsage()
     private static void TrimText()
     {
         // <TiktokenTrim>
-        Tokenizer tokenizer = TiktokenTokenizer.CreateForModel("gpt-4o");
+        Tokenizer tokenizer = TiktokenTokenizer.CreateForModel("gpt-5");
 
         string source = "Text tokenization is the process of splitting a string into a list of tokens.";
 

docs/ai/quickstarts/snippets/function-calling/openai/Program.cs

@@ -8,7 +8,7 @@
 string? key = config["OpenAIKey"];
 
 IChatClient client =
-    new ChatClientBuilder(new OpenAIClient(key).GetChatClient(model ?? "gpt-4o").AsIChatClient())
+    new ChatClientBuilder(new OpenAIClient(key).GetChatClient(model ?? "gpt-5").AsIChatClient())
     .UseFunctionInvocation()
     .Build();
 // </SnippetGetChatClient>

docs/ai/quickstarts/snippets/structured-output/Program.cs

@@ -9,8 +9,8 @@
     .Build();
 
 string endpoint = config["AZURE_OPENAI_ENDPOINT"];
-string model = config["AZURE_OPENAI_GPT_NAME"];
 string tenantId = config["AZURE_TENANT_ID"];
+string model = "gpt-5";
 
 // Get a chat client for the Azure OpenAI endpoint.
 AzureOpenAIClient azureClient =

docs/ai/quickstarts/snippets/text-to-image/azure-openai/Program.cs

@@ -10,7 +10,7 @@
 
 string endpoint = config["AZURE_OPENAI_ENDPOINT"];
 string apiKey = config["AZURE_OPENAI_API_KEY"];
-string model = config["AZURE_OPENAI_GPT_NAME"];
+string model = "gpt-image-1";
 
 // Create the Azure OpenAI client and convert to IImageGenerator.
 AzureOpenAIClient azureClient = new(

docs/ai/quickstarts/structured-output.md

@@ -17,11 +17,11 @@ In this quickstart, you create a chat app that requests a response with *structu
 
 ## Configure the AI service
 
-To provision an Azure OpenAI service and model using the Azure portal, complete the steps in the [Create and deploy an Azure OpenAI Service resource](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal) article. In the "Deploy a model" step, select the `gpt-4o` model.
+To provision an Azure OpenAI service and model using the Azure portal, complete the steps in the [Create and deploy an Azure OpenAI Service resource](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal) article. In the "Deploy a model" step, select the `gpt-5` model.
 
 ## Create the chat app
 
-Complete the following steps to create a console app that connects to the `gpt-4o` AI model.
+Complete the following steps to create a console app that connects to the `gpt-5` AI model.
 
 1. In a terminal window, navigate to the directory where you want to create your app, and create a new console app with the `dotnet new` command:
 
@@ -45,7 +45,6 @@ Complete the following steps to create a console app that connects to the `gpt-4
     ```bash
     dotnet user-secrets init
     dotnet user-secrets set AZURE_OPENAI_ENDPOINT <your-Azure-OpenAI-endpoint>
-    dotnet user-secrets set AZURE_OPENAI_GPT_NAME gpt-4o
     dotnet user-secrets set AZURE_TENANT_ID <your-tenant-ID>
     ```
 
@@ -112,7 +111,7 @@ Complete the following steps to create a console app that connects to the `gpt-4
 
 ## Clean up resources
 
-If you no longer need them, delete the Azure OpenAI resource and GPT-4 model deployment.
+If you no longer need them, delete the Azure OpenAI resource and model deployment.
 
 1. In the [Azure portal](https://aka.ms/azureportal), navigate to the Azure OpenAI resource.
 1. Select the Azure OpenAI resource, and then select **Delete**.

docs/ai/quickstarts/text-to-image.md

@@ -54,7 +54,6 @@ Complete the following steps to create a .NET console application that generates
     ```bash
     dotnet user-secrets init
     dotnet user-secrets set AZURE_OPENAI_ENDPOINT <your-Azure-OpenAI-endpoint>
-    dotnet user-secrets set AZURE_OPENAI_GPT_NAME gpt-image-1
     dotnet user-secrets set AZURE_OPENAI_API_KEY <your-azure-openai-api-key>
     ```