Remove JS and python tutorial and address comments

Author: Maryanne Gichohi

articles/azure-app-configuration/concept-ai-configuration.md

@@ -52,7 +52,7 @@ For more details about models provided by Google, see the [Gemini models documen
 
 ## Next steps
 
-To learn more about the AI configuration, continue to the following document:
+Continue to the following instructions to use AI configuration in your application:
 
 > [!div class="nextstepaction"]
-> [Getting started with Chat completion configuration](./howto-chat-completion-config.md)
+> [Chat completion configuration](./howto-chat-completion-config.md)

articles/azure-app-configuration/howto-chat-completion-config.md

@@ -7,9 +7,10 @@ author: mgichohi
 ms.author: mgichohi
 ms.topic: how-to
 ms.date: 04/20/2025
+ms.collection: ce-skilling-ai-copilot
 ---
 
-# Chat Completion Configuration in Azure App Configuration
+# Chat Completion configuration in Azure App Configuration
 
 Chat completion is an AI capability that enables models to generate conversational responses based on a series of messages. Unlike simple text completion, chat completion maintains context across multiple exchanges, simulating a natural conversation. Chat completion configuration allows you to define and manage how AI models generate responses in your application. A simple configuration includes the model selection and basic prompts. Azure OpenAI chat models support several [configuration options](/azure/ai-services/openai/reference#request-body-2) that control how responses are generated.
 
@@ -23,7 +24,7 @@ Chat completion is an AI capability that enables models to generate conversation
 >
 
 ## Create a chat completion configuration
-    
+
 In this section, we will create a chat completion configuration in Azure Portal using the GPT-4o model as our example.
 
  1. In Azure portal, navigate to your App configuration store. From the **Operations** menu, select **Configuration explorer** > **Create**. Then select **AI configuration**.
@@ -32,38 +33,24 @@ In this section, we will create a chat completion configuration in Azure Portal
     - **Key**: Type **ChatLLM:Model**.
     - **Label**: Leave this value blank.
     - **Model**: Select **gpt-4o**.
-    - **Messages**: 
-        1. The **System** role is added by default. Update the content to "You're from the 1800s. Express amazement at modern inventions"
-        1. Select **User** from the Role dropdown
-        1. In the **Content** text field, type "Tell me about smartphones in 20 words."
 
     > [!div class="mx-imgBorder"]
     > ![Screen shot shows the create new AI configuration form](./media/create-ai-chat-completion-config.png)
 
 1. To view the JSON representation of the chat completion configuration, switch to the **JSON** tab:
     > [!div class="mx-imgBorder"]
     > ![Screen shot shows the create new AI configuration form JSON tab](./media/create-ai-chat-completion-config-json.png)
-
-1.  Leave the rest of the values as default then select **Apply**.
+    
+1. Leave the rest of the values as default then select **Apply**.
 
 ## Create and deploy an Azure OpenAI service resource
 
-1. [Create an Azure OpenAI service resource](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource)
-
-1. Sign in to [Azure AI Foundry Portal](https://ai.azure.com/)
-
-1. Choose the subscription and the Azure OpenAI resource to work with, and select **Use resource**
+1. [Create and deploy an Azure OpenAI service resource](/azure/ai-services/openai/how-to/create-resource) and configure the following fields:
 
-1. Under **Management** select **Deployments**.
-
-1. Select **Create new deployment** and configure the following fields:
-    - **Select a model** : gpt-4o
-    - **Deployment name**: gpt-4o
-
-1. Leave the **Deployment type** and **Advanced options** set to default and select **Create**.
-
-1. The deployments table shows a new entry that corresponds to your newly created model.
-When the deployment completes, your model deployment status changes to _succeeded_.
+    | Field           | value   |
+    |-----------------|---------|
+    | Select a model  | gpt-4o  |
+    | Deployment name | gpt-4o  |
 
 1. Select the new model you just deployed in the deployment table, locate the **Endpoint** section and copy the model endpoint url in the format `"https://<open-ai-resource-name>.openai.azure.com"`.
 
@@ -74,16 +61,11 @@ When the deployment completes, your model deployment status changes to _succeede
     - **Label**: Leave this value blank.
     - **Value**: Paste the model endpoint we copied in the previous step.
 
-    Leave the rest of the values as default then select **Apply**.
-
-    > [!div class="mx-imgBorder"]
-    > ![Screen shot shows the create model endpoint form](./media/create-model-endpoint.png)
+    Leave the **Label** and the **Content type** with their default values then select **Apply**.
 
 1. Continue to the following instructions to implement the chat completion configuration into your application for the language or platform you are using.
 
     - [.NET](./quickstart-chat-completion-dotnet.md)
-    - [Node.js](./quickstart-chat-completion-javascript.md)
-    - [Python](./quickstart-chat-completion-python.md)
 
 ## Next steps