Merge branch 'main' of https://github.com/MicrosoftDocs/azure-ai-docs-pr into jan-freshness

Author: aahill

articles/ai-foundry/model-inference/breadcrumb/toc.yml

@@ -2,10 +2,10 @@
   tocHref: /azure/
   topicHref: /azure/index
   items:
-  - name: Azure AI services
-    tocHref: /azure/ai-services/
-    topicHref: /azure/ai-services/index
+  - name: AI Foundry
+    tocHref: /azure/ai-foundry/
+    topicHref: /azure/ai-studio/index
     items:
-    - name: Azure AI Model Inference
-      tocHref: /azure/ai-foundry/
+    - name: Model Inference
+      tocHref: /azure/ai-foundry/model-inference/
       topicHref: /azure/ai-foundry/model-inference/index

articles/ai-foundry/model-inference/concepts/endpoints.md

@@ -38,7 +38,7 @@ To learn more about how to create deployments see [Add and configure model deplo
 
 ## Azure AI inference endpoint
 
-The Azure AI inference endpoint allows customers to use a single endpoint with the same authentication and schema to generate inference for the deployed models in the resource. This endpoint follows the [Azure AI model inference API](../../../ai-studio/reference/reference-model-inference-api.md) which all the models in Azure AI model inference support. It support the following modalidities:
+The Azure AI inference endpoint allows customers to use a single endpoint with the same authentication and schema to generate inference for the deployed models in the resource. This endpoint follows the [Azure AI model inference API](.././reference/reference-model-inference-api.md) which all the models in Azure AI model inference support. It support the following modalidities:
 
 * Text embeddings
 * Image embeddings

articles/ai-foundry/model-inference/concepts/models.md

@@ -17,6 +17,9 @@ ms.custom: references_regions, tool_generated
 
 Azure AI model inference in Azure AI Foundry gives you access to flagship models in Azure AI to consume them as APIs without hosting them on your infrastructure.
 
+> [!TIP]
+> DeepSeek-R1 (preview) is available for deployment as [Serverless API endpoint](../../../ai-studio/how-to/deploy-models-deepseek.md).
+
 :::image type="content" source="../media/models/models-catalog.gif" alt-text="An animation showing Azure AI studio model catalog section and the models available." lightbox="../media/models/models-catalog.gif":::
 
 Model availability varies by model provider, deployment SKU, and cloud. All models available in Azure AI Model Inference support the [Global standard](deployment-types.md#global-standard) deployment type which uses global capacity to guarantee throughput. [Azure OpenAI models](#azure-openai) also support regional deployments and [sovereign clouds](/entra/identity-platform/authentication-national-cloud)—Azure Government, Azure Germany, and Azure China 21Vianet.

articles/ai-foundry/model-inference/how-to/inference.md

@@ -26,7 +26,7 @@ Azure AI services expose multiple endpoints depending on the type of work you're
 > * Azure AI model inference endpoint
 > * Azure OpenAI endpoint
 
-The **Azure AI inference endpoint** (usually with the form `https://<resource-name>.services.ai.azure.com/models`) allows customers to use a single endpoint with the same authentication and schema to generate inference for the deployed models in the resource. All the models support this capability. This endpoint follows the [Azure AI model inference API](../../../ai-studio/reference/reference-model-inference-api.md). 
+The **Azure AI inference endpoint** (usually with the form `https://<resource-name>.services.ai.azure.com/models`) allows customers to use a single endpoint with the same authentication and schema to generate inference for the deployed models in the resource. All the models support this capability. This endpoint follows the [Azure AI model inference API](.././reference/reference-model-inference-api.md). 
 
 **Azure OpenAI** models deployed to AI services also support the Azure OpenAI API (usually with the form `https://<resource-name>.openai.azure.com`). This endpoint exposes the full capabilities of OpenAI models and supports more features like assistants, threads, files, and batch inference.
 

articles/ai-foundry/model-inference/how-to/quickstart-ai-project.md

@@ -141,7 +141,7 @@ Use the parameter `model="<deployment-name>` to route your request to this deplo
 
 ## Move from Serverless API Endpoints to Azure AI model inference
 
-Although you configured the project to use the Azure AI model inference, existing model deployments continue to exit within the project as Serverless API Endpoints. Those deployments aren't moved for you. Hence, you can progressively upgrade any existing code that reference previous model deployments. To start moving the model deployments, we recommend the following workflow:
+Although you configured the project to use the Azure AI model inference, existing model deployments continue to exist within the project as Serverless API Endpoints. Those deployments aren't moved for you. Hence, you can progressively upgrade any existing code that reference previous model deployments. To start moving the model deployments, we recommend the following workflow:
 
 1. Recreate the model deployment in Azure AI model inference. This model deployment is accessible under the **Azure AI model inference endpoint**.
 

articles/ai-foundry/model-inference/how-to/use-chat-completions.md

@@ -49,4 +49,4 @@ zone_pivot_groups: azure-ai-inference-samples
 ## Related content
 
 * [Use embeddings models](use-embeddings.md)
-* [Azure AI Model Inference API](../../../ai-studio/reference/reference-model-inference-api.md)
+* [Azure AI Model Inference API](.././reference/reference-model-inference-api.md)

articles/ai-foundry/model-inference/how-to/use-embeddings.md

@@ -49,4 +49,4 @@ zone_pivot_groups: azure-ai-inference-samples
 ## Related content
 
 * [Use embeddings models](use-embeddings.md)
-* [Azure AI Model Inference API](../../../ai-studio/reference/reference-model-inference-api.md)
+* [Azure AI Model Inference API](.././reference/reference-model-inference-api.md)

articles/ai-foundry/model-inference/how-to/use-image-embeddings.md

@@ -49,4 +49,4 @@ zone_pivot_groups: azure-ai-inference-samples
 ## Related content
 
 * [Use embeddings models](use-embeddings.md)
-* [Azure AI Model Inference API](../../../ai-studio/reference/reference-model-inference-api.md)
+* [Azure AI Model Inference API](.././reference/reference-model-inference-api.md)

articles/ai-foundry/model-inference/includes/code-create-chat-client-entra.md

@@ -117,7 +117,7 @@ Explore our [samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/
 
 # [REST](#tab/rest)
 
-Use the reference section to explore the API design and which parameters are available and indicate authentication token in the header `Authorization`. For example, the reference section for [Chat completions](../../../ai-studio/reference/reference-model-inference-chat-completions.md) details how to use the route `/chat/completions` to generate predictions based on chat-formatted instructions. Notice that the path `/models` is included to the root of the URL:
+Use the reference section to explore the API design and which parameters are available and indicate authentication token in the header `Authorization`. For example, the reference section for [Chat completions](.././reference/reference-model-inference-chat-completions.md) details how to use the route `/chat/completions` to generate predictions based on chat-formatted instructions. Notice that the path `/models` is included to the root of the URL:
 
 __Request__
 

articles/ai-foundry/model-inference/includes/code-create-chat-client.md

@@ -109,7 +109,7 @@ Explore our [samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/
 
 # [REST](#tab/rest)
 
-Use the reference section to explore the API design and which parameters are available. For example, the reference section for [Chat completions](../../../ai-studio/reference/reference-model-inference-chat-completions.md) details how to use the route `/chat/completions` to generate predictions based on chat-formatted instructions. Notice that the path `/models` is included to the root of the URL:
+Use the reference section to explore the API design and which parameters are available. For example, the reference section for [Chat completions](.././reference/reference-model-inference-chat-completions.md) details how to use the route `/chat/completions` to generate predictions based on chat-formatted instructions. Notice that the path `/models` is included to the root of the URL:
 
 __Request__