Update reference-model-inference-api.md

Author: santiagxf

articles/ai-studio/reference/reference-model-inference-api.md

@@ -36,7 +36,7 @@ Having a uniform way to consume foundational models allow developers to realize
 
 ## Availability
 
-The Azure AI Model Inference API is available in the following models:
+The Azure AI Model Inference API is available in the following models/systems:
 
 Models deployed to [serverless API endpoints](../how-to/deploy-models-serverless.md):
 
@@ -58,6 +58,11 @@ Models deployed to [managed inference](../concepts/deployments-overview.md):
 > * [Phi-3](../how-to/deploy-models-phi-3.md), and [Phi-4](../how-to/deploy-models-phi-4.md) family of models
 > * [Mistral](../how-to/deploy-models-mistral-open.md) and [Mixtral](../how-to/deploy-models-mistral-open.md?tabs=mistral-8x7B-instruct) family of models
 
+Models deployed to [Azure AI model inference in Azure AI Services](../../ai-foundry/model-inference/overview.md):
+
+> [!div class="checklist"]
+> * See [supported models](../../ai-foundry/model-inference/concepts/models.md).
+
 The API is compatible with Azure OpenAI model deployments.
 
 > [!NOTE]
@@ -81,6 +86,9 @@ The API indicates how developers can consume predictions for the following modal
 
 You can use streamlined inference clients in the language of your choice to consume predictions from models running the Azure AI model inference API.
 
+> [!IMPORTANT]
+> When working with the Azure AI model inference endpoint (preview), the base URL to connect to is of the form `https://<resource-name>.services.ai.azure.com/models`. Use this URL with the parameter `endpoint`. If using REST APIs, such is the base URL you have to append to the modality you want to consume. Read about [how to use the Azure AI model inference endpoint](../../ai-foundry/model-inference/how-to/endpoint.md).
+
 # [Python](#tab/python)
 
 Install the package `azure-ai-inference` using your package manager, like pip: