> For the complete documentation index, see [llms.txt](https://docs.darcyiq.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.darcyiq.com/build/integration-overview/aws/aws-bedrock-integration.md).

# AWS Bedrock LLM

DarcyIQ supports using your organization's AWS Bedrock credentials, giving you complete control over your AI infrastructure and costs.

## Benefits

| Benefit             | Description                                                                              |
| ------------------- | ---------------------------------------------------------------------------------------- |
| **Cost Control**    | All LLM consumption happens on your AWS account, providing direct visibility and control |
| **Load Management** | Scale your AI workloads independently based on your organization's needs                 |
| **Security**        | Keep all AI processing within your AWS security boundary                                 |

##

## How It Works

1. **Create API Keys**
   * Within your AWS Account, create API Keys by going here:
2. **Enable Models**
   * Enable the following models within your AWS Account\
     \-- Claude Haiku 3.5\
     \-- Claude Sonnet 3.5\
     \-- Claude Sonnet 3.7
3. **Configure AWS Credentials**
   * Navigate to <https://app.darcyiq.com/user-configuration#integrations> and configure the "AWS Bedrock" integration
   * Fill out the appropriate API Key information
   * Configure region settings
4. **Save!**
   * Your done! DarcyIQ will not automatically default to your API.
   * If your API Fails: DarcyIQ will fall-back to our system provided LLMs so as to not disrupt service.

## Security Considerations

* All AI processing runs on your AWS infrastructure
* Data remains within your security boundary
* Compliance with your existing AWS security policies
* Full audit trail through AWS CloudTrail


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