Struct InvokeEndpointOutput 

#[non_exhaustive]
pub struct InvokeEndpointOutput {
    pub body: Option<Blob>,
    pub content_type: Option<String>,
    pub invoked_production_variant: Option<String>,
    pub custom_attributes: Option<String>,
    pub new_session_id: Option<String>,
    pub closed_session_id: Option<String>,
    /* private fields */
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

body: Option<Blob>

Includes the inference provided by the model.

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

If the explainer is activated, the body includes the explanations provided by the model. For more information, see the Response section under Invoke the Endpoint in the Developer Guide.

content_type: Option<String>

The MIME type of the inference returned from the model container.

invoked_production_variant: Option<String>

Identifies the production variant that was invoked.

custom_attributes: Option<String>

Provides additional information in the response about the inference returned by a model hosted at an Amazon SageMaker AI endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to return an ID received in the CustomAttributes header of a request or other metadata that a service endpoint was programmed to produce. 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). If the customer wants the custom attribute returned, the model must set the custom attribute to be included on the way back.

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 AI Python SDK.

new_session_id: Option<String>

If you created a stateful session with your request, the ID and expiration time that the model assigns to that session.

closed_session_id: Option<String>

If you closed a stateful session with your request, the ID of that session.

Implementations

impl InvokeEndpointOutput

pub fn body(&self) -> Option<&Blob>

Includes the inference provided by the model.

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

If the explainer is activated, the body includes the explanations provided by the model. For more information, see the Response section under Invoke the Endpoint in the Developer Guide.

pub fn content_type(&self) -> Option<&str>

The MIME type of the inference returned from the model container.

pub fn invoked_production_variant(&self) -> Option<&str>

Identifies the production variant that was invoked.

pub fn custom_attributes(&self) -> Option<&str>

Provides additional information in the response about the inference returned by a model hosted at an Amazon SageMaker AI endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to return an ID received in the CustomAttributes header of a request or other metadata that a service endpoint was programmed to produce. 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). If the customer wants the custom attribute returned, the model must set the custom attribute to be included on the way back.

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 AI Python SDK.

pub fn new_session_id(&self) -> Option<&str>

If you created a stateful session with your request, the ID and expiration time that the model assigns to that session.

pub fn closed_session_id(&self) -> Option<&str>

If you closed a stateful session with your request, the ID of that session.

impl InvokeEndpointOutput

pub fn builder() -> InvokeEndpointOutputBuilder

Creates a new builder-style object to manufacture InvokeEndpointOutput.

Trait Implementations

impl Clone for InvokeEndpointOutput

fn clone(&self) -> InvokeEndpointOutput

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for InvokeEndpointOutput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for InvokeEndpointOutput

fn eq(&self, other: &InvokeEndpointOutput) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl RequestId for InvokeEndpointOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for InvokeEndpointOutput