How To Use Amazon Bedrock Model On Openclaw

Want to integrate Amazon Bedrock into your OpenClaw workflow? Here’s what you need to know:

1. This matters because Bedrock unlocks powerful foundation models directly within your gateway without managing separate infrastructure.
2. Many developers struggle with credential management and provider configuration, leading to failed connections and wasted debugging time.
3. You will learn the exact steps to authenticate and configure Bedrock, ensuring your models are discoverable and ready for inference.

Before you can use Amazon Bedrock models through OpenClaw, you need to set up your AWS credentials properly. This step is critical because the gateway needs valid credentials to authenticate with AWS services and discover available models.

Start by exporting your AWS credentials in the environment where your OpenClaw gateway runs. These variables allow the gateway to authenticate with AWS and access your Bedrock resources.

Want to dive deeper? Here is another post you shouldnt miss: Using LiteLLM With Openclaw and How To Use Claude Anthropic Model On Openclaw.

export AWS_ACCESS_KEY_ID="AKIA..."
export AWS_SECRET_ACCESS_KEY="..."
export AWS_REGION="us-east-1"

Once your credentials are set, you need to configure OpenClaw to discover and use Bedrock models. Add this configuration to your openclaw.json file to enable automatic model discovery from Anthropic and Amazon providers.

{
"models": {
"bedrockDiscovery": {
"enabled": true,
"region": "us-east-1",
"providerFilter": ["anthropic", "amazon"],
"refreshInterval": 3600
}
}
}

Save your configuration and restart the OpenClaw gateway. The service will now automatically discover available Bedrock models and make them accessible through your gateway. You can verify the setup by checking your gateway logs for successful model discovery messages.

Thanks for reading! Dont miss our other articles covering OpenClaw Reset dan Mengatasi Gateway Token MisMatch.