> ## 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.

# Bedrock

> Configure Amazon Bedrock as an AI provider in your Adaline workspace

## Adding Bedrock Credentials

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

**1. Configure Provider Name**

Click on the plus (+) icon.

![Configure Bedrock provider name](https://mintcdn.com/adaline/tvqUtfKxTlDfJpNv/images/admin/providers/bedrock/bedrock-1.png?fit=max\&auto=format\&n=tvqUtfKxTlDfJpNv\&q=85\&s=9a1529b20ee825452d9c44059d0844b6)

* Enter a unique **Name** for your Bedrock configuration (e.g., "Bedrock-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 "Bedrock (your-name)::" before each model name.
* It makes it easy to distinguish between multiple Bedrock accounts like "Bedrock-dev" and "Bedrock-prod" setups.

**2. Enter Credentials**

![Enter Bedrock API credentials](https://mintcdn.com/adaline/tvqUtfKxTlDfJpNv/images/admin/providers/bedrock/bedrock-2.png?fit=max\&auto=format\&n=tvqUtfKxTlDfJpNv\&q=85\&s=5d3a69353e7744008a43838a48ab29ea)

* Add your **Access key ID** of the IAM user in the required field.
* Add your AWS **Secret access key** of the IAM user in the required field
* You can also add a **Description** to help identify the purpose of these credentials for future reference.
* Make sure the IAM user has the necessary permissions to access Bedrock.

**3. Create**

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


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