list formatting, terminology

Author: gitName

articles/api-management/TOC.yml

@@ -242,7 +242,7 @@
       href: azure-ai-foundry-api.md
     - name: Import Azure OpenAI API
       href: azure-openai-api-from-specification.md
-    - name: Import OpenAI-compatible LLM API
+    - name: Import language model API
       href: openai-compatible-llm-api.md
     - name: Import Google Gemini API
       href: openai-compatible-google-gemini-api.md

articles/api-management/openai-compatible-google-gemini-api.md

@@ -5,7 +5,7 @@ ms.service: azure-api-management
 author: dlepow
 ms.author: danlep
 ms.topic: how-to
-ms.date: 07/03/2025
+ms.date: 07/06/2025
 ms.collection: ce-skilling-ai-copilot
 ms.custom: template-how-to
 ---
@@ -18,16 +18,16 @@ This article shows you how to import an OpenAI-compatible Google Gemini API to a
 
 Learn more about managing AI APIs in API Management:
 
-* [Generative AI gateway capabilities in Azure API Management](genai-gateway-capabilities.md)
-* [Import an OpenAI-compatible language model API](openai-compatible-llm-api.md)
+* [AI gateway capabilities in Azure API Management](genai-gateway-capabilities.md)
+* [Import a language model API](openai-compatible-llm-api.md)
 
 ## Prerequisites
 
 - An existing API Management instance. [Create one if you haven't already](get-started-create-service-instance.md).
 - An API key for the Gemini API. If you don't have one, create it at [Google AI Studio](https://aistudio.google.com/apikey) and store it in a safe location.
 
 
-## Import an OpenAI-compatible Gemini model using the portal
+## Import an OpenAI-compatible Gemini API using the portal
 
 1. In the [Azure portal](https://portal.azure.com), navigate to your API Management instance.
 1. In the left menu, under **APIs**, select **APIs** > **+ Add API**.
@@ -37,15 +37,17 @@ Learn more about managing AI APIs in API Management:
     1. In **URL**, enter the following base URL from the [Gemini OpenAI compatibility documentation](https://ai.google.dev/gemini-api/docs/openai):
          `https://generativelanguage.googleapis.com/v1beta/openai`
 
-1. In **Path**, append a path that your API Management instance uses to route requests to the Gemini API endpoints.
-1. In **Type**, select **Create OpenAI API**.
-1. In **Access key**, enter the following:
-    1. **Header name**: *Authorization*.
-    1. **Header value (key)**: `Bearer` followed by your API key for the Gemini API.
-1. On the remaining tabs, optionally configure policies to manage token consumption, semantic caching, and AI content safety. For details, see [Import an OpenAI-compatible language model API](openai-compatible-llm-api.md).
-
+    1. In **Path**, append a path that your API Management instance uses to route requests to the Gemini API endpoints.
+    1. In **Type**, select **Create OpenAI API**.
+    1. In **Access key**, enter the following:
+        1. **Header name**: *Authorization*.
+        1. **Header value (key)**: `Bearer` followed by your API key for the Gemini API.
+    
     :::image type="content" source="media/openai-compatible-google-gemini-api/gemini-import.png" alt-text="Screenshot of importing a Gemini LLM API in the portal.":::
-1. Select **Create**.
+
+1. On the remaining tabs, optionally configure policies to manage token consumption, semantic caching, and AI content safety. For details, see [Import a language model API](openai-compatible-llm-api.md).
+1. Select **Review**
+1. After settings are validated, select **Create**.
 
 API Management creates the API and configures the following:
 
@@ -83,4 +85,6 @@ After importing the API, you can test the chat completions endpoint for the API.
 
     :::image type="content" source="media/openai-compatible-google-gemini-api/gemini-test.png" alt-text="Screenshot of testing a Gemini LLM API in the portal.":::
 
-[!INCLUDE [api-management-define-api-topics.md](../../includes/api-management-define-api-topics.md)]
+## Related content
+
+* [AI gateway capabilities in Azure API Management](genai-gateway-capabilities.md)

articles/api-management/openai-compatible-llm-api.md

@@ -1,25 +1,25 @@
 ---
-title: Import OpenAI-Compatible Language Model API - Azure API Management
-description: How to import an OpenAI-compatible language model or a non-Azure-provided AI model as a REST API in Azure API Management.
+title: Import Language Model API - Azure API Management
+description: How to import an OpenAI-compatible language model or a non-OpenAI-compatible AI model as a REST API in Azure API Management.
 ms.service: azure-api-management
 author: dlepow
 ms.author: danlep
 ms.topic: how-to
-ms.date: 06/04/2025
+ms.date: 07/06/2025
 ms.update-cycle: 180-days
 ms.collection: ce-skilling-ai-copilot
 ms.custom: template-how-to
 ---
 
-# Import an OpenAI-compatible language model API 
+# Import a language model API 
 
 [!INCLUDE [api-management-availability-all-tiers](../../includes/api-management-availability-all-tiers.md)]
 
-You can import OpenAI-compatible language model endpoints to your API Management instance as APIs. For example, you might want to manage an LLM that you self-host, or that's hosted on an inference provider other than Azure AI services. Use AI gateway policies and other capabilities in API Management to simplify integration, improve observability, and enhance control over the model endpoints.
+You can import OpenAI-compatible language model endpoints to your API Management instance as APIs. You can also import language models that aren't compatible with OpenAI as passthrough APIs, which forward requests to the backend. For example, you might want to manage an LLM that you self-host, or that's hosted on an inference provider other than Azure AI services. Use AI gateway policies and other capabilities in API Management to simplify integration, improve observability, and enhance control over the model endpoints.
 
 Learn more about managing AI APIs in API Management:
 
-* [Generative AI gateway capabilities in Azure API Management](genai-gateway-capabilities.md)
+* [AI gateway capabilities in Azure API Management](genai-gateway-capabilities.md)
 
 ## Language model API types
 
@@ -92,4 +92,6 @@ To ensure that your LLM API is working as expected, test it in the API Managemen
 
     When the test is successful, the backend responds with a successful HTTP response code and some data. Appended to the response is token usage data to help you monitor and manage your language model token consumption.
 
-[!INCLUDE [api-management-define-api-topics.md](../../includes/api-management-define-api-topics.md)]
+## Related content
+
+* [AI gateway capabilities in Azure API Management](genai-gateway-capabilities.md)