aws-sdk-bedrock 1.129.0

AWS SDK for Amazon Bedrock
Documentation 
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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_custom_model_deployment::_create_custom_model_deployment_output::CreateCustomModelDeploymentOutputBuilder;

pub use crate::operation::create_custom_model_deployment::_create_custom_model_deployment_input::CreateCustomModelDeploymentInputBuilder;

impl crate::operation::create_custom_model_deployment::builders::CreateCustomModelDeploymentInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::create_custom_model_deployment::CreateCustomModelDeploymentOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_custom_model_deployment::CreateCustomModelDeploymentError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.create_custom_model_deployment();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `CreateCustomModelDeployment`.
///
/// <p>Deploys a custom model for on-demand inference in Amazon Bedrock. After you deploy your custom model, you use the deployment's Amazon Resource Name (ARN) as the <code>modelId</code> parameter when you submit prompts and generate responses with model inference.</p>
/// <p>For more information about setting up on-demand inference for custom models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Set up inference for a custom model</a>.</p>
/// <p>The following actions are related to the <code>CreateCustomModelDeployment</code> operation:</p>
/// <ul>
/// <li>
/// <p><a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_GetCustomModelDeployment.html">GetCustomModelDeployment</a></p></li>
/// <li>
/// <p><a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_ListCustomModelDeployments.html">ListCustomModelDeployments</a></p></li>
/// <li>
/// <p><a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_DeleteCustomModelDeployment.html">DeleteCustomModelDeployment</a></p></li>
/// </ul>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateCustomModelDeploymentFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_custom_model_deployment::builders::CreateCustomModelDeploymentInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::create_custom_model_deployment::CreateCustomModelDeploymentOutput,
        crate::operation::create_custom_model_deployment::CreateCustomModelDeploymentError,
    > for CreateCustomModelDeploymentFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::create_custom_model_deployment::CreateCustomModelDeploymentOutput,
            crate::operation::create_custom_model_deployment::CreateCustomModelDeploymentError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl CreateCustomModelDeploymentFluentBuilder {
    /// Creates a new `CreateCustomModelDeploymentFluentBuilder`.
    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
        Self {
            handle,
            inner: ::std::default::Default::default(),
            config_override: ::std::option::Option::None,
        }
    }
    /// Access the CreateCustomModelDeployment as a reference.
    pub fn as_input(&self) -> &crate::operation::create_custom_model_deployment::builders::CreateCustomModelDeploymentInputBuilder {
        &self.inner
    }
    /// 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::create_custom_model_deployment::CreateCustomModelDeploymentOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_custom_model_deployment::CreateCustomModelDeploymentError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let input = self
            .inner
            .build()
            .map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
        let runtime_plugins = crate::operation::create_custom_model_deployment::CreateCustomModelDeployment::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::create_custom_model_deployment::CreateCustomModelDeployment::orchestrate(&runtime_plugins, input).await
    }

    /// Consumes this builder, creating a customizable operation that can be modified before being sent.
    pub fn customize(
        self,
    ) -> crate::client::customize::CustomizableOperation<
        crate::operation::create_custom_model_deployment::CreateCustomModelDeploymentOutput,
        crate::operation::create_custom_model_deployment::CreateCustomModelDeploymentError,
        Self,
    > {
        crate::client::customize::CustomizableOperation::new(self)
    }
    pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
        self.set_config_override(::std::option::Option::Some(config_override.into()));
        self
    }

    pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
        self.config_override = config_override;
        self
    }
    /// <p>The name for the custom model deployment. The name must be unique within your Amazon Web Services account and Region.</p>
    pub fn model_deployment_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.model_deployment_name(input.into());
        self
    }
    /// <p>The name for the custom model deployment. The name must be unique within your Amazon Web Services account and Region.</p>
    pub fn set_model_deployment_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_model_deployment_name(input);
        self
    }
    /// <p>The name for the custom model deployment. The name must be unique within your Amazon Web Services account and Region.</p>
    pub fn get_model_deployment_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_model_deployment_name()
    }
    /// <p>The Amazon Resource Name (ARN) of the custom model to deploy for on-demand inference. The custom model must be in the <code>Active</code> state.</p>
    pub fn model_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.model_arn(input.into());
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the custom model to deploy for on-demand inference. The custom model must be in the <code>Active</code> state.</p>
    pub fn set_model_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_model_arn(input);
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the custom model to deploy for on-demand inference. The custom model must be in the <code>Active</code> state.</p>
    pub fn get_model_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_model_arn()
    }
    /// <p>A description for the custom model deployment to help you identify its purpose.</p>
    pub fn description(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.description(input.into());
        self
    }
    /// <p>A description for the custom model deployment to help you identify its purpose.</p>
    pub fn set_description(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_description(input);
        self
    }
    /// <p>A description for the custom model deployment to help you identify its purpose.</p>
    pub fn get_description(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_description()
    }
    ///
    /// Appends an item to `tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>Tags to assign to the custom model deployment. You can use tags to organize and track your Amazon Web Services resources for cost allocation and management purposes.</p>
    pub fn tags(mut self, input: crate::types::Tag) -> Self {
        self.inner = self.inner.tags(input);
        self
    }
    /// <p>Tags to assign to the custom model deployment. You can use tags to organize and track your Amazon Web Services resources for cost allocation and management purposes.</p>
    pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
        self.inner = self.inner.set_tags(input);
        self
    }
    /// <p>Tags to assign to the custom model deployment. You can use tags to organize and track your Amazon Web Services resources for cost allocation and management purposes.</p>
    pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
        self.inner.get_tags()
    }
    /// <p>A unique, case-sensitive identifier to ensure that the operation completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-idempotency.html">Ensuring idempotency</a>.</p>
    pub fn client_request_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.client_request_token(input.into());
        self
    }
    /// <p>A unique, case-sensitive identifier to ensure that the operation completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-idempotency.html">Ensuring idempotency</a>.</p>
    pub fn set_client_request_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_client_request_token(input);
        self
    }
    /// <p>A unique, case-sensitive identifier to ensure that the operation completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-idempotency.html">Ensuring idempotency</a>.</p>
    pub fn get_client_request_token(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_client_request_token()
    }
}