winterbaume-sagemakerruntime

SageMaker Runtime service implementation for winterbaume.

Coverage

Metric	Value
Service	SageMaker Runtime
AWS model	sagemaker-runtime
Protocol	restJson1
winterbaume coverage	3/3 operations (100.0%)
stubs (routed, returns empty/default)	0/3 operations (0.0%)
moto coverage	2/3 operations (66.7%)
floci coverage	0/3 operations (0.0%)
kumo coverage	0/3 operations (0.0%)
Coverage report date	2026-05-13

Server-mode usage

Start winterbaume-server and point the AWS CLI at it:

cargo run -p winterbaume-server -- --host 127.0.0.1 --port 5555

export AWS_ENDPOINT_URL=http://localhost:5555
aws sagemaker-runtime invoke-endpoint --endpoint-name my-endpoint --body '{}' /dev/stdout

Example

use aws_sdk_sagemakerruntime::config::BehaviorVersion;
use winterbaume_core::MockAws;
use winterbaume_sagemakerruntime::SageMakerRuntimeService;

#[tokio::main]
async fn main() {
    let mock = MockAws::builder()
        .with_service(SageMakerRuntimeService::new())
        .build();

    let config = aws_config::defaults(BehaviorVersion::latest())
        .http_client(mock.http_client())
        .credentials_provider(mock.credentials_provider())
        .region(aws_sdk_sagemakerruntime::config::Region::new("us-east-1"))
        .load()
        .await;

    let client = aws_sdk_sagemakerruntime::Client::new(&config);

    // SageMaker Runtime invokes deployed endpoints.
    // This example demonstrates client setup for the SageMakerRuntime service.
    println!("SageMakerRuntime client ready. Use invoke_endpoint() to call a deployed model.");
    let _client = client;
}

Implemented APIs (3)

• InvokeEndpoint
• InvokeEndpointAsync
• InvokeEndpointWithResponseStream