Merge pull request #268936 from mrbullwinkle/mrb_03_13_2024_fix_redirect_issue

[Azure OpenAI] REST API url path fix

Author: v-dirichards

articles/ai-services/openai/faq.yml

@@ -173,7 +173,7 @@ sections:
       - question: |
           How do I deploy a model with the REST API? 
         answer:
-          There are currently two different REST APIs that allow model deployment. For the latest model deployment features such as the ability to specify a model version during deployment for models like text-embedding-ada-002 Version 2, use the [Deployments - Create Or Update](/rest/api/cognitiveservices/accountmanagement/deployments/create-or-update?tabs=HTTP) REST API call. 
+          There are currently two different REST APIs that allow model deployment. For the latest model deployment features such as the ability to specify a model version during deployment for models like text-embedding-ada-002 Version 2, use the [Deployments - Create Or Update](/rest/api/aiservices/accountmanagement/deployments/create-or-update?tabs=HTTP) REST API call. 
       - question: |
           Can I use quota to increase the max token limit of a model?
         answer:

articles/ai-services/openai/how-to/quota.md

@@ -135,7 +135,7 @@ PUT https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{
 
 **Request body**
 
-This is only a subset of the available request body parameters. For the full list of the parameters, you can refer to the [REST API reference documentation](/rest/api/cognitiveservices/accountmanagement/deployments/create-or-update?tabs=HTTP).
+This is only a subset of the available request body parameters. For the full list of the parameters, you can refer to the [REST API reference documentation](/rest/api/aiservices/accountmanagement/deployments/create-or-update?tabs=HTTP).
 
 |Parameter|Type| Description |
 |--|--|--|
@@ -154,7 +154,7 @@ curl -X PUT https://management.azure.com/subscriptions/00000000-0000-0000-0000-0
 > [!NOTE]
 > There are multiple ways to generate an authorization token. The easiest method for initial testing is to launch the Cloud Shell from the [Azure portal](https://portal.azure.com). Then run [`az account get-access-token`](/cli/azure/account?view=azure-cli-latest#az-account-get-access-token&preserve-view=true). You can use this token as your temporary authorization token for API testing.
 
-For more information, refer to the REST API reference documentation for [usages](/rest/api/cognitiveservices/accountmanagement/usages/list?branch=main&tabs=HTTP) and [deployment](/rest/api/cognitiveservices/accountmanagement/deployments/create-or-update).
+For more information, refer to the REST API reference documentation for [usages](/rest/api/aiservices/accountmanagement/usages/list?branch=main&tabs=HTTP) and [deployment](/rest/api/aiservices/accountmanagement/deployments/create-or-update).
 
 ### Usage
 

articles/ai-services/openai/how-to/use-your-data-securely.md

@@ -141,7 +141,7 @@ If you created the Azure OpenAI via Azure portal, the [custom subdomain](/azure/
 To allow your Azure AI Search and Storage Account to recognize your Azure OpenAI service via Microsoft Entra ID authentication, you need to assign a managed identity for your Azure OpenAI service. The easiest way is to toggle on system assigned managed identity on Azure portal.
 :::image type="content" source="../media/use-your-data/openai-managed-identity.png" alt-text="A screenshot showing the system assigned managed identity option in the Azure portal." lightbox="../media/use-your-data/openai-managed-identity.png":::
 
-To set the managed identities via the management API, see [the management API reference documentation](/rest/api/cognitiveservices/accountmanagement/accounts/update#identity).
+To set the managed identities via the management API, see [the management API reference documentation](/rest/api/aiservices/accountmanagement/accounts/update#identity).
 
 ```json
 

articles/ai-services/openai/how-to/working-with-models.md

@@ -122,7 +122,7 @@ New-AzCognitiveServicesAccountDeployment -ResourceGroupName {ResourceGroupName}
 
 # [REST](#tab/rest)
 
-To query the current model deployment settings including the deployment upgrade configuration for a given resource use [`Deployments List`](/rest/api/cognitiveservices/accountmanagement/deployments/list?tabs=HTTP#code-try-0). If the value is null, you won't see a `versionUpgradeOption` property.
+To query the current model deployment settings including the deployment upgrade configuration for a given resource use [`Deployments List`](/rest/api/aiservices/accountmanagement/deployments/list?tabs=HTTP#code-try-0). If the value is null, you won't see a `versionUpgradeOption` property.
 
 ```http
 GET https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.CognitiveServices/accounts/{accountName}/deployments?api-version=2023-05-01
@@ -221,7 +221,7 @@ PUT https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{
 
 **Request body**
 
-This is only a subset of the available request body parameters. For the full list of the parameters, you can refer to the [REST API reference documentation](/rest/api/cognitiveservices/accountmanagement/deployments/create-or-update).
+This is only a subset of the available request body parameters. For the full list of the parameters, you can refer to the [REST API reference documentation](/rest/api/aiservices/accountmanagement/deployments/create-or-update).
 
 |Parameter|Type| Description |
 |--|--|--|

articles/ai-services/openai/reference.md

@@ -1376,7 +1376,7 @@ The speech is returned as an audio file from the previous request.
 
 Azure OpenAI is deployed as a part of the Azure AI services. All Azure AI services rely on the same set of management APIs for creation, update, and delete operations. The management APIs are also used for deploying models within an OpenAI resource.
 
-[**Management APIs reference documentation**](/rest/api/cognitiveservices/)
+[**Management APIs reference documentation**](/rest/api/aiservices/)
 
 ## Next steps
 

articles/ai-services/openai/tutorials/fine-tune.md

@@ -550,7 +550,7 @@ fine_tuned_model = response.fine_tuned_model
 
 ## Deploy fine-tuned model
 
-Unlike the previous Python SDK commands in this tutorial, since the introduction of the quota feature, model deployment must be done using the [REST API](/rest/api/cognitiveservices/accountmanagement/deployments/create-or-update?tabs=HTTP), which requires separate authorization, a different API path, and a different API version.
+Unlike the previous Python SDK commands in this tutorial, since the introduction of the quota feature, model deployment must be done using the [REST API](/rest/api/aiservices/accountmanagement/deployments/create-or-update?tabs=HTTP), which requires separate authorization, a different API path, and a different API version.
 
 Alternatively, you can deploy your fine-tuned model using any of the other common deployment methods like [Azure OpenAI Studio](https://oai.azure.com/), or [Azure CLI](/cli/azure/cognitiveservices/account/deployment#az-cognitiveservices-account-deployment-create()).
 
@@ -668,7 +668,7 @@ Unlike other types of Azure OpenAI models, fine-tuned/customized models have [an
 
 Deleting the deployment won't affect the model itself, so you can re-deploy the fine-tuned model that you trained for this tutorial at any time.
 
-You can delete the deployment in [Azure OpenAI Studio](https://oai.azure.com/), via [REST API](/rest/api/cognitiveservices/accountmanagement/deployments/delete?tabs=HTTP), [Azure CLI](/cli/azure/cognitiveservices/account/deployment#az-cognitiveservices-account-deployment-delete()), or other supported deployment methods.  
+You can delete the deployment in [Azure OpenAI Studio](https://oai.azure.com/), via [REST API](/rest/api/aiservices/accountmanagement/deployments/delete?tabs=HTTP), [Azure CLI](/cli/azure/cognitiveservices/account/deployment#az-cognitiveservices-account-deployment-delete()), or other supported deployment methods.  
 
 ## Troubleshooting