Table Of Contents


User Guide

First time using the AWS CLI? See the User Guide for help getting started.

[ aws . sagemaker-runtime ]



After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint.

For an overview of Amazon SageMaker, see How It Works

Amazon SageMaker strips all POST headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.


--endpoint-name <value>
--body <value>
[--content-type <value>]
[--accept <value>]
outfile <value>


--endpoint-name (string)

The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

--body (blob)

Provides input data, in the format specified in the ContentType request header. Amazon SageMaker passes all of the data in the body to the model.

--content-type (string)

The MIME type of the input data in the request body.

--accept (string)

The desired MIME type of the inference in the response.

outfile (string) Filename where the content will be saved

See 'aws help' for descriptions of global parameters.


Body -> (blob)

Includes the inference provided by the model.

ContentType -> (string)

The MIME type of the inference returned in the response body.

InvokedProductionVariant -> (string)

Identifies the production variant that was invoked.