Amazon Bedrock
Since 25.3
This feature is available in Enterprise, AWS, and Team editions only.
To use Amazon Bedrock as an AI provider in CloudBeaver, set it up like this:
- As an administrator, open the AWS console and go to IAM (Identity and Access Management)
- Create or use an IAM user/account that has permissions to use Bedrock, and generate an Access Key ID and Secret Access Key for this user
- Insert credentials into CloudBeaver's Model Settings
- Enter the Region and Model
- Save changes
Model settings¶
| Setting | Description | default |
|---|---|---|
| AWS Access key | Your AWS access key with permissions to call Amazon Bedrock. | |
| AWS Secret key | Your AWS secret key. | |
| Region | AWS region where Bedrock is enabled for your account, such as us-east-1 or eu-central-1. |
|
| Model | Choose the AI model. Use Load model list to refresh the available models. You can also type a model name manually. | |
| Context size | A larger number allows the AI to use more data for better answers but may slow down response time. | |
| Temperature | Control AI's creativity from 0.0 (more precise) to 0.9 (more diverse). Note that higher temperature can lead to less predictable results. |
0.0 |