> ## Documentation Index
> Fetch the complete documentation index at: https://www.adaline.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Azure

> Configure Azure as an AI provider in your Adaline workspace

## Adding Azure Credentials

You can add Azure credentials by navigating to the **Providers** page under **Settings**.

**1. Configure Provider Name**

Click on the plus (+) icon.

![Configure Azure provider name](https://mintcdn.com/adaline/tvqUtfKxTlDfJpNv/images/admin/providers/azure/azure-1.png?fit=max\&auto=format\&n=tvqUtfKxTlDfJpNv\&q=85\&s=cfeb7d43da21061c31ff624c1ac280ad)

* Enter a unique **Name** for your Azure configuration (e.g., "Azure-Dev").
* This name will be used as a prefix in the model dropdown to help you identify which provider configuration to use. The name appears as "Azure (your-name)::" before each model name.
* It makes it easy to distinguish between multiple Azure accounts like "Azure-dev" and "Azure-prod" setups.

**2. Enter Credentials**

![Enter Azure API credentials](https://mintcdn.com/adaline/tvqUtfKxTlDfJpNv/images/admin/providers/azure/azure-2.png?fit=max\&auto=format\&n=tvqUtfKxTlDfJpNv\&q=85\&s=d0ac10598961f0f9746e3853e7bafd6c)

* Add your **API key** in the required field.
* Add the **Model name**, for example, gpt-96o.
* Add the **Resource name**.
* You can also add a **Description** to help identify the purpose of these credentials for future reference.

**3. Create**

Click **Create** to save your provider configuration.


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