aws-sdk-bedrock 1.146.0

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

pub use crate::operation::create_advanced_prompt_optimization_job::_create_advanced_prompt_optimization_job_output::CreateAdvancedPromptOptimizationJobOutputBuilder;

impl crate::operation::create_advanced_prompt_optimization_job::builders::CreateAdvancedPromptOptimizationJobInputBuilder {
    /// 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_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJobOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJobError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.create_advanced_prompt_optimization_job();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `CreateAdvancedPromptOptimizationJob`.
///
/// <p>Creates an advanced prompt optimization job. The job optimizes your prompt templates for specific models using your evaluation dataset and criteria.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateAdvancedPromptOptimizationJobFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_advanced_prompt_optimization_job::builders::CreateAdvancedPromptOptimizationJobInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::create_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJobOutput,
        crate::operation::create_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJobError,
    > for CreateAdvancedPromptOptimizationJobFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::create_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJobOutput,
            crate::operation::create_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJobError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl CreateAdvancedPromptOptimizationJobFluentBuilder {
    /// Creates a new `CreateAdvancedPromptOptimizationJobFluentBuilder`.
    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 CreateAdvancedPromptOptimizationJob as a reference.
    pub fn as_input(&self) -> &crate::operation::create_advanced_prompt_optimization_job::builders::CreateAdvancedPromptOptimizationJobInputBuilder {
        &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_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJobOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJobError,
            ::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_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJob::operation_runtime_plugins(
                self.handle.runtime_plugins.clone(),
                &self.handle.conf,
                self.config_override,
            );
        crate::operation::create_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJob::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_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJobOutput,
        crate::operation::create_advanced_prompt_optimization_job::CreateAdvancedPromptOptimizationJobError,
        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>A name for the advanced prompt optimization job.</p>
    pub fn job_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.job_name(input.into());
        self
    }
    /// <p>A name for the advanced prompt optimization job.</p>
    pub fn set_job_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_job_name(input);
        self
    }
    /// <p>A name for the advanced prompt optimization job.</p>
    pub fn get_job_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_job_name()
    }
    /// <p>A description of the advanced prompt optimization job.</p>
    pub fn job_description(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.job_description(input.into());
        self
    }
    /// <p>A description of the advanced prompt optimization job.</p>
    pub fn set_job_description(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_job_description(input);
        self
    }
    /// <p>A description of the advanced prompt optimization job.</p>
    pub fn get_job_description(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_job_description()
    }
    /// <p>A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request but does not return an error.</p>
    pub fn client_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.client_token(input.into());
        self
    }
    /// <p>A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request but does not return an error.</p>
    pub fn set_client_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_client_token(input);
        self
    }
    /// <p>A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request but does not return an error.</p>
    pub fn get_client_token(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_client_token()
    }
    /// <p>Specifies the S3 location of your JSONL input file containing prompt templates and evaluation samples.</p>
    pub fn input_config(mut self, input: crate::types::AdvancedPromptOptimizationInputConfig) -> Self {
        self.inner = self.inner.input_config(input);
        self
    }
    /// <p>Specifies the S3 location of your JSONL input file containing prompt templates and evaluation samples.</p>
    pub fn set_input_config(mut self, input: ::std::option::Option<crate::types::AdvancedPromptOptimizationInputConfig>) -> Self {
        self.inner = self.inner.set_input_config(input);
        self
    }
    /// <p>Specifies the S3 location of your JSONL input file containing prompt templates and evaluation samples.</p>
    pub fn get_input_config(&self) -> &::std::option::Option<crate::types::AdvancedPromptOptimizationInputConfig> {
        self.inner.get_input_config()
    }
    /// <p>Specifies the S3 location where optimization results will be stored.</p>
    pub fn output_config(mut self, input: crate::types::AdvancedPromptOptimizationOutputConfig) -> Self {
        self.inner = self.inner.output_config(input);
        self
    }
    /// <p>Specifies the S3 location where optimization results will be stored.</p>
    pub fn set_output_config(mut self, input: ::std::option::Option<crate::types::AdvancedPromptOptimizationOutputConfig>) -> Self {
        self.inner = self.inner.set_output_config(input);
        self
    }
    /// <p>Specifies the S3 location where optimization results will be stored.</p>
    pub fn get_output_config(&self) -> &::std::option::Option<crate::types::AdvancedPromptOptimizationOutputConfig> {
        self.inner.get_output_config()
    }
    /// <p>The Amazon Resource Name (ARN) of the KMS key used for encrypting the output data. If not specified, the output is encrypted with an Amazon-owned KMS key.</p>
    pub fn encryption_key_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.encryption_key_arn(input.into());
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the KMS key used for encrypting the output data. If not specified, the output is encrypted with an Amazon-owned KMS key.</p>
    pub fn set_encryption_key_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_encryption_key_arn(input);
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the KMS key used for encrypting the output data. If not specified, the output is encrypted with an Amazon-owned KMS key.</p>
    pub fn get_encryption_key_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_encryption_key_arn()
    }
    ///
    /// Appends an item to `tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>Tags to associate with the advanced prompt optimization job.</p>
    pub fn tags(mut self, input: crate::types::Tag) -> Self {
        self.inner = self.inner.tags(input);
        self
    }
    /// <p>Tags to associate with the advanced prompt optimization job.</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 associate with the advanced prompt optimization job.</p>
    pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
        self.inner.get_tags()
    }
    ///
    /// Appends an item to `modelConfigurations`.
    ///
    /// To override the contents of this collection use [`set_model_configurations`](Self::set_model_configurations).
    ///
    /// <p>A list of model configurations specifying the target models for prompt optimization. You can specify up to 5 models.</p>
    pub fn model_configurations(mut self, input: crate::types::ModelConfiguration) -> Self {
        self.inner = self.inner.model_configurations(input);
        self
    }
    /// <p>A list of model configurations specifying the target models for prompt optimization. You can specify up to 5 models.</p>
    pub fn set_model_configurations(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::ModelConfiguration>>) -> Self {
        self.inner = self.inner.set_model_configurations(input);
        self
    }
    /// <p>A list of model configurations specifying the target models for prompt optimization. You can specify up to 5 models.</p>
    pub fn get_model_configurations(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ModelConfiguration>> {
        self.inner.get_model_configurations()
    }
}