Package software.amazon.awssdk.services.sagemakerruntime.model

Class InvokeEndpointWithResponseStreamRequest

    • Method Detail

      • endpointName

        public final String endpointName()

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

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

      • body

        public final SdkBytes body()

        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.

        For information about the format of the request body, see Common Data Formats-Inference.

        Returns:
        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.

        For information about the format of the request body, see Common Data Formats-Inference.

      • contentType

        public final String contentType()

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

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

      • accept

        public final String accept()

        The desired MIME type of the inference response from the model container.

        Returns:
        The desired MIME type of the inference response from the model container.

      • customAttributes

        public final String customAttributes()

        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.

        Returns:
        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.

      • targetVariant

        public final String targetVariant()

        Specify the production variant to send the inference request to when invoking an endpoint that is running two or more variants. Note that this parameter overrides the default behavior for the endpoint, which is to distribute the invocation traffic based on the variant weights.

        For information about how to use variant targeting to perform a/b testing, see Test models in production

        Returns:
        Specify the production variant to send the inference request to when invoking an endpoint that is running two or more variants. Note that this parameter overrides the default behavior for the endpoint, which is to distribute the invocation traffic based on the variant weights.

        For information about how to use variant targeting to perform a/b testing, see Test models in production

      • targetContainerHostname

        public final String targetContainerHostname()

        If the endpoint hosts multiple containers and is configured to use direct invocation, this parameter specifies the host name of the container to invoke.

        Returns:
        If the endpoint hosts multiple containers and is configured to use direct invocation, this parameter specifies the host name of the container to invoke.

      • inferenceId

        public final String inferenceId()

        An identifier that you assign to your request.

        Returns:
        An identifier that you assign to your request.

      • inferenceComponentName

        public final String inferenceComponentName()

        If the endpoint hosts one or more inference components, this parameter specifies the name of inference component to invoke for a streaming response.

        Returns:
        If the endpoint hosts one or more inference components, this parameter specifies the name of inference component to invoke for a streaming response.

      • toString

        public final String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object