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

Interface InvokeEndpointRequest.Builder

    • Method Detail

      • endpointName

        InvokeEndpointRequest.Builder endpointName​(String endpointName)

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

        Parameters:
        endpointName - The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • body

        InvokeEndpointRequest.Builder body​(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.

        Parameters:
        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:
        Returns a reference to this object so that method calls can be chained together.

      • contentType

        InvokeEndpointRequest.Builder contentType​(String contentType)

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

        Parameters:
        contentType - The MIME type of the input data in the request body.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • accept

        InvokeEndpointRequest.Builder accept​(String accept)

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

        Parameters:
        accept - The desired MIME type of the inference response from the model container.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • customAttributes

        InvokeEndpointRequest.Builder customAttributes​(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.

        Parameters:
        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:
        Returns a reference to this object so that method calls can be chained together.

      • targetModel

        InvokeEndpointRequest.Builder targetModel​(String targetModel)

        The model to request for inference when invoking a multi-model endpoint.

        Parameters:
        targetModel - The model to request for inference when invoking a multi-model endpoint.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • targetVariant

        InvokeEndpointRequest.Builder targetVariant​(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

        Parameters:
        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:
        Returns a reference to this object so that method calls can be chained together.

      • targetContainerHostname

        InvokeEndpointRequest.Builder targetContainerHostname​(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.

        Parameters:
        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:
        Returns a reference to this object so that method calls can be chained together.

      • inferenceId

        InvokeEndpointRequest.Builder inferenceId​(String inferenceId)

        If you provide a value, it is added to the captured data when you enable data capture on the endpoint. For information about data capture, see Capture Data.

        Parameters:
        inferenceId - If you provide a value, it is added to the captured data when you enable data capture on the endpoint. For information about data capture, see Capture Data.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • enableExplanations

        InvokeEndpointRequest.Builder enableExplanations​(String enableExplanations)

        An optional JMESPath expression used to override the EnableExplanations parameter of the ClarifyExplainerConfig API. See the EnableExplanations section in the developer guide for more information.

        Parameters:
        enableExplanations - An optional JMESPath expression used to override the EnableExplanations parameter of the ClarifyExplainerConfig API. See the EnableExplanations section in the developer guide for more information.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • inferenceComponentName

        InvokeEndpointRequest.Builder inferenceComponentName​(String inferenceComponentName)

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

        Parameters:
        inferenceComponentName - If the endpoint hosts one or more inference components, this parameter specifies the name of inference component to invoke.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • sessionId

        InvokeEndpointRequest.Builder sessionId​(String sessionId)

        Creates a stateful session or identifies an existing one. You can do one of the following:

        • Create a stateful session by specifying the value NEW_SESSION.

        • Send your request to an existing stateful session by specifying the ID of that session.

        With a stateful session, you can send multiple requests to a stateful model. When you create a session with a stateful model, the model must create the session ID and set the expiration time. The model must also provide that information in the response to your request. You can get the ID and timestamp from the NewSessionId response parameter. For any subsequent request where you specify that session ID, SageMaker routes the request to the same instance that supports the session.

        Parameters:
        sessionId - Creates a stateful session or identifies an existing one. You can do one of the following:

        • Create a stateful session by specifying the value NEW_SESSION.

        • Send your request to an existing stateful session by specifying the ID of that session.

        With a stateful session, you can send multiple requests to a stateful model. When you create a session with a stateful model, the model must create the session ID and set the expiration time. The model must also provide that information in the response to your request. You can get the ID and timestamp from the NewSessionId response parameter. For any subsequent request where you specify that session ID, SageMaker routes the request to the same instance that supports the session.

        Returns:
        Returns a reference to this object so that method calls can be chained together.