Struct aws_sdk_sagemakerruntime::operation::invoke_endpoint_with_response_stream::builders::InvokeEndpointWithResponseStreamInputBuilder

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

A builder for InvokeEndpointWithResponseStreamInput.

Implementations

impl InvokeEndpointWithResponseStreamInputBuilder

pub fn endpoint_name(self, input: impl Into<String>) -> Self

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

This field is required.

pub fn set_endpoint_name(self, input: Option<String>) -> Self

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

pub fn get_endpoint_name(&self) -> &Option<String>

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

pub fn body(self, input: Blob) -> Self

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.

This field is required.

pub fn set_body(self, input: Option<Blob>) -> Self

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.

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

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.

pub fn content_type(self, input: impl Into<String>) -> Self

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

pub fn set_content_type(self, input: Option<String>) -> Self

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

pub fn get_content_type(&self) -> &Option<String>

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

pub fn accept(self, input: impl Into<String>) -> Self

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

pub fn set_accept(self, input: Option<String>) -> Self

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

pub fn get_accept(&self) -> &Option<String>

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

pub fn custom_attributes(self, input: impl Into<String>) -> Self

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.

pub fn set_custom_attributes(self, input: Option<String>) -> Self

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.

pub fn get_custom_attributes(&self) -> &Option<String>

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.

pub fn target_variant(self, input: impl Into<String>) -> Self

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

pub fn set_target_variant(self, input: Option<String>) -> Self

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

pub fn get_target_variant(&self) -> &Option<String>

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

pub fn target_container_hostname(self, input: impl Into<String>) -> Self

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

pub fn set_target_container_hostname(self, input: Option<String>) -> Self

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

pub fn get_target_container_hostname(&self) -> &Option<String>

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

pub fn inference_id(self, input: impl Into<String>) -> Self

An identifier that you assign to your request.

pub fn set_inference_id(self, input: Option<String>) -> Self

An identifier that you assign to your request.

pub fn get_inference_id(&self) -> &Option<String>

An identifier that you assign to your request.

pub fn inference_component_name(self, input: impl Into<String>) -> Self

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

pub fn set_inference_component_name(self, input: Option<String>) -> Self

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

pub fn get_inference_component_name(&self) -> &Option<String>

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

pub fn build(self) -> Result<InvokeEndpointWithResponseStreamInput, BuildError>

Consumes the builder and constructs a InvokeEndpointWithResponseStreamInput.

impl InvokeEndpointWithResponseStreamInputBuilder

pub async fn send_with( self, client: &Client ) -> Result<InvokeEndpointWithResponseStreamOutput, SdkError<InvokeEndpointWithResponseStreamError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for InvokeEndpointWithResponseStreamInputBuilder

fn clone(&self) -> InvokeEndpointWithResponseStreamInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for InvokeEndpointWithResponseStreamInputBuilder

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

Formats the value using the given formatter.

impl Default for InvokeEndpointWithResponseStreamInputBuilder

fn default() -> InvokeEndpointWithResponseStreamInputBuilder

Returns the “default value” for a type.

impl PartialEq for InvokeEndpointWithResponseStreamInputBuilder

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

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

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

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

impl StructuralPartialEq for InvokeEndpointWithResponseStreamInputBuilder