#[non_exhaustive]
pub struct Builder { /* private fields */ }
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Implementations

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

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

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

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

The desired MIME type of the inference in the response.

The desired MIME type of the inference in the response.

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 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 Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK.

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 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 Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK.

The identifier for the inference request. Amazon SageMaker will generate an identifier for you if none is specified.

The identifier for the inference request. Amazon SageMaker will generate an identifier for you if none is specified.

The Amazon S3 URI where the inference request payload is stored.

The Amazon S3 URI where the inference request payload is stored.

Maximum age in seconds a request can be in the queue before it is marked as expired.

Maximum age in seconds a request can be in the queue before it is marked as expired.

Consumes the builder and constructs a InvokeEndpointAsyncInput

Trait Implementations

Returns a copy of the value. Read more

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Formats the value using the given formatter. Read more

Returns the “default value” for a type. Read more

This method tests for self and other values to be equal, and is used by ==. Read more

This method tests for !=.

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