class Aws::SageMakerRuntime::Types::InvokeEndpointAsyncInput

@note When making an API call, you may pass InvokeEndpointAsyncInput

data as a hash:

    {
      endpoint_name: "EndpointName", # required
      content_type: "Header",
      accept: "Header",
      custom_attributes: "CustomAttributesHeader",
      inference_id: "InferenceId",
      input_location: "InputLocationHeader", # required
      request_ttl_seconds: 1,
    }

@!attribute [rw] endpoint_name

The name of the endpoint that you specified when you created the
endpoint using the [ `CreateEndpoint` ][1] API.

[1]: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html
@return [String]

@!attribute [rw] content_type

The MIME type of the input data in the request body.
@return [String]

@!attribute [rw] accept

The desired MIME type of the inference in the response.
@return [String]

@!attribute [rw] custom_attributes

Provides additional information about a request for an inference
submitted to a model hosted at an Amazon SageMaker endpoint. The
information is an opaque value that is forwarded verbatim. You could
use this value, for example, to provide an ID that you can use to
track a request or to provide other metadata that a service endpoint
was programmed to process. The value must consist of no more than
1024 visible US-ASCII characters as specified in [Section 3.3.6.
Field Value Components][1] of the Hypertext Transfer Protocol
(HTTP/1.1).

The code in your model is responsible for setting or updating any
custom attributes in the response. If your code does not set this
value in the response, an empty value is returned. For example, if a
custom attribute represents the trace ID, your model can prepend the
custom attribute with `Trace ID`\: in your post-processing function.

This feature is currently supported in the AWS SDKs but not in the
Amazon SageMaker Python SDK.

[1]: https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6
@return [String]

@!attribute [rw] inference_id

The identifier for the inference request. Amazon SageMaker will
generate an identifier for you if none is specified.
@return [String]

@!attribute [rw] input_location

The Amazon S3 URI where the inference request payload is stored.
@return [String]

@!attribute [rw] request_ttl_seconds

Maximum age in seconds a request can be in the queue before it is
marked as expired.
@return [Integer]

@see docs.aws.amazon.com/goto/WebAPI/runtime.sagemaker-2017-05-13/InvokeEndpointAsyncInput AWS API Documentation

Constants

SENSITIVE