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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::invoke_endpoint_async::_invoke_endpoint_async_output::InvokeEndpointAsyncOutputBuilder;

pub use crate::operation::invoke_endpoint_async::_invoke_endpoint_async_input::InvokeEndpointAsyncInputBuilder;

/// Fluent builder constructing a request to `InvokeEndpointAsync`.
///
/// <p>After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint in an asynchronous manner.</p>
/// <p>Inference requests sent to this API are enqueued for asynchronous processing. The processing of the inference request may or may not complete before you receive a response from this API. The response from this API will not contain the result of the inference request but contain information about where you can locate it.</p>
/// <p>Amazon SageMaker strips all <code>POST</code> headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.</p>
/// <p>Calls to <code>InvokeEndpointAsync</code> are authenticated by using Amazon Web Services Signature Version 4. For information, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-authenticating-requests.html">Authenticating Requests (Amazon Web Services Signature Version 4)</a> in the <i>Amazon S3 API Reference</i>.</p>
#[derive(std::clone::Clone, std::fmt::Debug)]
pub struct InvokeEndpointAsyncFluentBuilder {
    handle: std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::invoke_endpoint_async::builders::InvokeEndpointAsyncInputBuilder,
}
impl InvokeEndpointAsyncFluentBuilder {
    /// Creates a new `InvokeEndpointAsync`.
    pub(crate) fn new(handle: std::sync::Arc<crate::client::Handle>) -> Self {
        Self {
            handle,
            inner: Default::default(),
        }
    }
    /// Consume this builder, creating a customizable operation that can be modified before being
    /// sent. The operation's inner [http::Request] can be modified as well.
    pub async fn customize(
        self,
    ) -> std::result::Result<
        crate::client::customize::CustomizableOperation<
            crate::operation::invoke_endpoint_async::InvokeEndpointAsync,
            aws_http::retry::AwsResponseRetryClassifier,
        >,
        aws_smithy_http::result::SdkError<
            crate::operation::invoke_endpoint_async::InvokeEndpointAsyncError,
        >,
    > {
        let handle = self.handle.clone();
        let operation = self
            .inner
            .build()
            .map_err(aws_smithy_http::result::SdkError::construction_failure)?
            .make_operation(&handle.conf)
            .await
            .map_err(aws_smithy_http::result::SdkError::construction_failure)?;
        Ok(crate::client::customize::CustomizableOperation { handle, operation })
    }

    /// Sends the request and returns the response.
    ///
    /// If an error occurs, an `SdkError` will be returned with additional details that
    /// can be matched against.
    ///
    /// By default, any retryable failures will be retried twice. Retry behavior
    /// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
    /// set when configuring the client.
    pub async fn send(
        self,
    ) -> std::result::Result<
        crate::operation::invoke_endpoint_async::InvokeEndpointAsyncOutput,
        aws_smithy_http::result::SdkError<
            crate::operation::invoke_endpoint_async::InvokeEndpointAsyncError,
        >,
    > {
        let op = self
            .inner
            .build()
            .map_err(aws_smithy_http::result::SdkError::construction_failure)?
            .make_operation(&self.handle.conf)
            .await
            .map_err(aws_smithy_http::result::SdkError::construction_failure)?;
        self.handle.client.call(op).await
    }
    /// <p>The name of the endpoint that you specified when you created the endpoint using the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html"> <code>CreateEndpoint</code> </a> API.</p>
    pub fn endpoint_name(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.endpoint_name(input.into());
        self
    }
    /// <p>The name of the endpoint that you specified when you created the endpoint using the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html"> <code>CreateEndpoint</code> </a> API.</p>
    pub fn set_endpoint_name(mut self, input: std::option::Option<std::string::String>) -> Self {
        self.inner = self.inner.set_endpoint_name(input);
        self
    }
    /// <p>The MIME type of the input data in the request body.</p>
    pub fn content_type(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.content_type(input.into());
        self
    }
    /// <p>The MIME type of the input data in the request body.</p>
    pub fn set_content_type(mut self, input: std::option::Option<std::string::String>) -> Self {
        self.inner = self.inner.set_content_type(input);
        self
    }
    /// <p>The desired MIME type of the inference in the response.</p>
    pub fn accept(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.accept(input.into());
        self
    }
    /// <p>The desired MIME type of the inference in the response.</p>
    pub fn set_accept(mut self, input: std::option::Option<std::string::String>) -> Self {
        self.inner = self.inner.set_accept(input);
        self
    }
    /// <p>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 <a href="https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6">Section 3.3.6. Field Value Components</a> of the Hypertext Transfer Protocol (HTTP/1.1). </p>
    /// <p>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 <code>Trace ID</code>: in your post-processing function. </p>
    /// <p>This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK. </p>
    pub fn custom_attributes(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.custom_attributes(input.into());
        self
    }
    /// <p>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 <a href="https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6">Section 3.3.6. Field Value Components</a> of the Hypertext Transfer Protocol (HTTP/1.1). </p>
    /// <p>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 <code>Trace ID</code>: in your post-processing function. </p>
    /// <p>This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK. </p>
    pub fn set_custom_attributes(
        mut self,
        input: std::option::Option<std::string::String>,
    ) -> Self {
        self.inner = self.inner.set_custom_attributes(input);
        self
    }
    /// <p>The identifier for the inference request. Amazon SageMaker will generate an identifier for you if none is specified. </p>
    pub fn inference_id(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.inference_id(input.into());
        self
    }
    /// <p>The identifier for the inference request. Amazon SageMaker will generate an identifier for you if none is specified. </p>
    pub fn set_inference_id(mut self, input: std::option::Option<std::string::String>) -> Self {
        self.inner = self.inner.set_inference_id(input);
        self
    }
    /// <p>The Amazon S3 URI where the inference request payload is stored.</p>
    pub fn input_location(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.input_location(input.into());
        self
    }
    /// <p>The Amazon S3 URI where the inference request payload is stored.</p>
    pub fn set_input_location(mut self, input: std::option::Option<std::string::String>) -> Self {
        self.inner = self.inner.set_input_location(input);
        self
    }
    /// <p>Maximum age in seconds a request can be in the queue before it is marked as expired. The default is 6 hours, or 21,600 seconds.</p>
    pub fn request_ttl_seconds(mut self, input: i32) -> Self {
        self.inner = self.inner.request_ttl_seconds(input);
        self
    }
    /// <p>Maximum age in seconds a request can be in the queue before it is marked as expired. The default is 6 hours, or 21,600 seconds.</p>
    pub fn set_request_ttl_seconds(mut self, input: std::option::Option<i32>) -> Self {
        self.inner = self.inner.set_request_ttl_seconds(input);
        self
    }
    /// <p>Maximum amount of time in seconds a request can be processed before it is marked as expired. The default is 15 minutes, or 900 seconds.</p>
    pub fn invocation_timeout_seconds(mut self, input: i32) -> Self {
        self.inner = self.inner.invocation_timeout_seconds(input);
        self
    }
    /// <p>Maximum amount of time in seconds a request can be processed before it is marked as expired. The default is 15 minutes, or 900 seconds.</p>
    pub fn set_invocation_timeout_seconds(mut self, input: std::option::Option<i32>) -> Self {
        self.inner = self.inner.set_invocation_timeout_seconds(input);
        self
    }
}