update date and make acrolinx fixes - chat completions

Author: msakande

articles/ai-foundry/model-inference/includes/use-chat-completions/csharp.md

@@ -7,7 +7,7 @@ author: mopeakande
 reviewer: santiagxf
 ms.service: azure-ai-model-inference
 ms.topic: how-to
-ms.date: 1/21/2025
+ms.date: 03/20/2025
 ms.author: mopeakande
 ms.reviewer: fasantia
 ms.custom: references_regions, tool_generated
@@ -26,7 +26,7 @@ To use chat completion models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites-csharp](../how-to-prerequisites-csharp.md)]
 
-* A chat completions model deployment. If you don't have one read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add a chat completions model to your resource.
+* A chat completions model deployment. If you don't have one, read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add a chat completions model to your resource.
 
     * This example uses `mistral-large-2407`.
 
@@ -42,7 +42,7 @@ ChatCompletionsClient client = new ChatCompletionsClient(
 );
 ```
 
-If you have configured the resource to with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
+If you've configured the resource with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
 
 
 ```csharp
@@ -181,7 +181,7 @@ response = client.Complete(requestOptions);
 Console.WriteLine($"Response: {response.Value.Content}");
 ```
 
-Some models don't support JSON output formatting. You can always prompt the model to generate JSON outputs. However, such outputs are not guaranteed to be valid JSON.
+Some models don't support JSON output formatting. You can always prompt the model to generate JSON outputs. However, such outputs aren't guaranteed to be valid JSON.
 
 If you want to pass a parameter that isn't in the list of supported parameters, you can pass it to the underlying model using *extra parameters*. See [Pass extra parameters to the model](#pass-extra-parameters-to-the-model).
 

articles/ai-foundry/model-inference/includes/use-chat-completions/java.md

@@ -7,7 +7,7 @@ author: mopeakande
 reviewer: santiagxf
 ms.service: azure-ai-model-inference
 ms.topic: how-to
-ms.date: 1/21/2025
+ms.date: 03/20/2025
 ms.author: mopeakande
 ms.reviewer: fasantia
 ms.custom: references_regions, tool_generated
@@ -26,7 +26,7 @@ To use chat completion models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites-java](../how-to-prerequisites-java.md)]
 
-* A chat completions model deployment. If you don't have one read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add a chat completions model to your resource.
+* A chat completions model deployment. If you don't have one, read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add a chat completions model to your resource.
 
     * This example uses `mistral-large-2407`.
 
@@ -41,7 +41,7 @@ ChatCompletionsClient client = new ChatCompletionsClientBuilder()
     .buildClient();
 ```
 
-If you have configured the resource to with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
+If you've configured the resource with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
 
 ```java
 TokenCredential defaultCredential = new DefaultAzureCredentialBuilder().build();
@@ -120,7 +120,7 @@ client.completeStream(new ChatCompletionsOptions(chatMessages))
 #### Explore more parameters supported by the inference client
 
 Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
-Some models don't support JSON output formatting. You can always prompt the model to generate JSON outputs. However, such outputs are not guaranteed to be valid JSON.
+Some models don't support JSON output formatting. You can always prompt the model to generate JSON outputs. However, such outputs aren't guaranteed to be valid JSON.
 
 If you want to pass a parameter that isn't in the list of supported parameters, you can pass it to the underlying model using *extra parameters*. See [Pass extra parameters to the model](#pass-extra-parameters-to-the-model).
 

articles/ai-foundry/model-inference/includes/use-chat-completions/javascript.md

@@ -7,7 +7,7 @@ author: mopeakande
 reviewer: santiagxf
 ms.service: azure-ai-model-inference
 ms.topic: how-to
-ms.date: 1/21/2025
+ms.date: 03/20/2025
 ms.author: mopeakande
 ms.reviewer: fasantia
 ms.custom: references_regions, tool_generated
@@ -26,7 +26,7 @@ To use chat completion models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites-javascript](../how-to-prerequisites-javascript.md)]
 
-* A chat completions model deployment. If you don't have one read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add a chat completions model to your resource.
+* A chat completions model deployment. If you don't have one, read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add a chat completions model to your resource.
 
 ## Use chat completions
 
@@ -44,7 +44,7 @@ const client = new ModelClient(
 );
 ```
 
-If you have configured the resource to with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
+If you've configured the resource with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
 
 
 ```javascript
@@ -177,7 +177,7 @@ var response = await client.path("/chat/completions").post({
 });
 ```
 
-Some models don't support JSON output formatting. You can always prompt the model to generate JSON outputs. However, such outputs are not guaranteed to be valid JSON.
+Some models don't support JSON output formatting. You can always prompt the model to generate JSON outputs. However, such outputs aren't guaranteed to be valid JSON.
 
 If you want to pass a parameter that isn't in the list of supported parameters, you can pass it to the underlying model using *extra parameters*. See [Pass extra parameters to the model](#pass-extra-parameters-to-the-model).
 

articles/ai-foundry/model-inference/includes/use-chat-completions/python.md

@@ -7,7 +7,7 @@ author: mopeakande
 reviewer: santiagxf
 ms.service: azure-ai-model-inference
 ms.topic: how-to
-ms.date: 1/21/2025
+ms.date: 03/20/2025
 ms.author: mopeakande
 ms.reviewer: fasantia
 ms.custom: references_regions, tool_generated
@@ -26,7 +26,7 @@ To use chat completion models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites-python](../how-to-prerequisites-python.md)]
 
-* A chat completions model deployment. If you don't have one read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add a chat completions model to your resource.
+* A chat completions model deployment. If you don't have one, read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add a chat completions model to your resource.
 
     * This example uses `mistral-large-2407`.
 
@@ -46,7 +46,7 @@ client = ChatCompletionsClient(
 )
 ```
 
-If you have configured the resource to with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
+If you've configured the resource with **Microsoft Entra ID** support, you can use the following code snippet to create a client.
 
 
 ```python
@@ -166,7 +166,7 @@ response = client.complete(
 )
 ```
 
-Some models don't support JSON output formatting. You can always prompt the model to generate JSON outputs. However, such outputs are not guaranteed to be valid JSON.
+Some models don't support JSON output formatting. You can always prompt the model to generate JSON outputs. However, such outputs aren't guaranteed to be valid JSON.
 
 If you want to pass a parameter that isn't in the list of supported parameters, you can pass it to the underlying model using *extra parameters*. See [Pass extra parameters to the model](#pass-extra-parameters-to-the-model).
 

articles/ai-foundry/model-inference/includes/use-chat-completions/rest.md

@@ -7,7 +7,7 @@ author: mopeakande
 reviewer: santiagxf
 ms.service: azure-ai-model-inference
 ms.topic: how-to
-ms.date: 1/21/2025
+ms.date: 03/20/2025
 ms.author: mopeakande
 ms.reviewer: fasantia
 ms.custom: references_regions, tool_generated
@@ -24,7 +24,7 @@ To use chat completion models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites](../how-to-prerequisites.md)]
 
-* A chat completions model deployment. If you don't have one read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add a chat completions model to your resource.
+* A chat completions model deployment. If you don't have one, read [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add a chat completions model to your resource.
 
     * This example uses `mistral-large-2407`.
 
@@ -38,15 +38,15 @@ Content-Type: application/json
 api-key: <key>
 ```
 
-If you have configured the resource with **Microsoft Entra ID** support, pass you token in the `Authorization` header with the format `Bearer <token>`. Use scope `https://cognitiveservices.azure.com/.default`. 
+If you've configured the resource with **Microsoft Entra ID** support, pass you token in the `Authorization` header with the format `Bearer <token>`. Use scope `https://cognitiveservices.azure.com/.default`. 
 
 ```http
 POST https://<resource>.services.ai.azure.com/models/chat/completions?api-version=2024-05-01-preview
 Content-Type: application/json
 Authorization: Bearer <token>
 ```
 
-Using Microsoft Entra ID may require additional configuration in your resource to grant access. Learn how to [configure key-less authentication with Microsoft Entra ID](../../how-to/configure-entra-id.md).
+Using Microsoft Entra ID might require extra configuration in your resource to grant access. Learn how to [configure key-less authentication with Microsoft Entra ID](../../how-to/configure-entra-id.md).
 
 ### Create a chat completion request
 
@@ -233,7 +233,7 @@ Explore other parameters that you can specify in the inference client. For a ful
 }
 ```
 
-Some models don't support JSON output formatting. You can always prompt the model to generate JSON outputs. However, such outputs are not guaranteed to be valid JSON.
+Some models don't support JSON output formatting. You can always prompt the model to generate JSON outputs. However, such outputs aren't guaranteed to be valid JSON.
 
 If you want to pass a parameter that isn't in the list of supported parameters, you can pass it to the underlying model using *extra parameters*. See [Pass extra parameters to the model](#pass-extra-parameters-to-the-model).