Azure: update docs

docs/config-azure-openai.md

@@ -23,6 +23,17 @@ Azure OpenAI service instance, continue with the next section.
 In addition to using the UI, configuration can also be done using
 [environment variables](environment-variables.md).
 
+## Server Configuration
+
+For server deployments, set these environment variables:
+
+```bash
+AZURE_OPENAI_API_ENDPOINT=https://your-resource-name.openai.azure.com
+AZURE_OPENAI_API_KEY=your-api-key
+```
+
+This enables Azure OpenAI for all users without requiring individual API keys. For more details, see [environment-variables.md](environment-variables.md).
+
 ## Azure OpenAI API Versions
 
 Azure OpenAI supports both traditional deployment-based API and the next-generation v1 API:
@@ -53,18 +64,7 @@ Azure OpenAI supports both traditional deployment-based API and the next-generat
     - Fill in the required fields and click on **Create**
     - Note down the **Subscription ID** (e.g., `12345678-1234-1234-1234-123456789012`)
 
-### Step 2: Apply for Azure OpenAI Service
-
-We'll now be creating "OpenAI"-specific resources on Azure. This requires to 'apply',
-and acceptance should be quick (even as low as minutes).
-
-1. Visit [Azure OpenAI Service](https://aka.ms/azure-openai)
-2. Click on **Apply for access**
-    - Fill in the required fields (including the subscription ID) and click on **Apply**
-
-Once your application is accepted, you can create OpenAI resources on Azure.
-
-### Step 3: Create Azure OpenAI Resource
+### Step 2: Create Azure OpenAI Resource
 
 For more information, see [Azure: Create and deploy OpenAI](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/create-resource?pivots=web-portal)
 
@@ -74,31 +74,32 @@ For more information, see [Azure: Create and deploy OpenAI](https://learn.micros
    ![Creating an OpenAI service](pixels/config-azure-openai-create.png)
     - Select the subscription
     - Select a resource group or create a new one
-    - Select the region. Note that the region determines the available models.
-   > For instance, **Canada East** offers GPT-4-32k models, For the full list, see [GPT-4 models](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models)
+    - Select the region. **Important**: The region determines which models are available.
+   > Popular regions like **East US**, **West Europe**, and **Australia East** typically have the best model availability. For the latest model availability by region, see [Azure OpenAI Model Availability](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models)
     - Name the service (e.g., `your-openai-api-1234`)
     - Select a pricing tier (e.g., `S0` for standard)
     - Select: "All networks, including the internet, can access this resource."
     - Click on **Review + create** and then **Create**
 
-After creating the resource, you can access the API Keys and Endpoints. At any point, you can go to
-the OpenAI Service instance page to get this information.
+After creating the resource, you can access the API Keys and Endpoints:
 
-- Click on **Go to resource**
-- Click on **Develop**
-    - Copy the `Endpoint`, called "Language API", e.g. 'https://your-openai-api-1234.openai.azure.com/'
-    - Copy `KEY 1`
+1. Click on **Go to resource** (or navigate to your Azure OpenAI resource)
+2. In the left sidebar, under **Resource Management**, click on **Keys and Endpoint** 
+3. Copy the required information:
+   - **Endpoint**: e.g., 'https://your-resource-name.openai.azure.com/'
+   - **Key**: Copy either KEY 1 or KEY 2 (both work identically)
 
-### Step 4: Deploy Models
+### Step 3: Deploy Models
 
 By default, Azure OpenAI resource instances don't have models available. You need to deploy the models you want to use.
 
-1. Click on **Model Deployments > Manage Deployments**
-2. Click on **+Create New Deployment**
-   ![Deploying a model](pixels/config-azure-openai-deploy.png)
-    - Select the model you want to deploy
-    - Optionally select a version
-    - name the model, e.g., `gpt4-32k-0613`
+1. In your Azure OpenAI resource, click on **Model deployments** in the left sidebar
+2. Click on **Create new deployment** 
+3. Fill in the deployment details:
+   - **Select a model**: Choose from available models
+   - **Model version**: Select the latest version or a specific one
+   - **Deployment name**: Give it a meaningful name
+4. Click **Deploy**
 
 Repeat as necessary for each model you want to deploy.