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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_bot_locale::_create_bot_locale_input::CreateBotLocaleInputBuilder;
pub use crate::operation::create_bot_locale::_create_bot_locale_output::CreateBotLocaleOutputBuilder;
impl crate::operation::create_bot_locale::builders::CreateBotLocaleInputBuilder {
/// 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_bot_locale::CreateBotLocaleOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_bot_locale::CreateBotLocaleError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.create_bot_locale();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `CreateBotLocale`.
///
/// <p>Creates a locale in the bot. The locale contains the intents and slot types that the bot uses in conversations with users in the specified language and locale. You must add a locale to a bot before you can add intents and slot types to the bot.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateBotLocaleFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::create_bot_locale::builders::CreateBotLocaleInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::create_bot_locale::CreateBotLocaleOutput,
crate::operation::create_bot_locale::CreateBotLocaleError,
> for CreateBotLocaleFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::create_bot_locale::CreateBotLocaleOutput,
crate::operation::create_bot_locale::CreateBotLocaleError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl CreateBotLocaleFluentBuilder {
/// Creates a new `CreateBotLocaleFluentBuilder`.
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 CreateBotLocale as a reference.
pub fn as_input(&self) -> &crate::operation::create_bot_locale::builders::CreateBotLocaleInputBuilder {
&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_bot_locale::CreateBotLocaleOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_bot_locale::CreateBotLocaleError,
::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_bot_locale::CreateBotLocale::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::create_bot_locale::CreateBotLocale::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_bot_locale::CreateBotLocaleOutput,
crate::operation::create_bot_locale::CreateBotLocaleError,
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 identifier of the bot to create the locale for.</p>
pub fn bot_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.bot_id(input.into());
self
}
/// <p>The identifier of the bot to create the locale for.</p>
pub fn set_bot_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_bot_id(input);
self
}
/// <p>The identifier of the bot to create the locale for.</p>
pub fn get_bot_id(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_bot_id()
}
/// <p>The version of the bot to create the locale for. This can only be the draft version of the bot.</p>
pub fn bot_version(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.bot_version(input.into());
self
}
/// <p>The version of the bot to create the locale for. This can only be the draft version of the bot.</p>
pub fn set_bot_version(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_bot_version(input);
self
}
/// <p>The version of the bot to create the locale for. This can only be the draft version of the bot.</p>
pub fn get_bot_version(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_bot_version()
}
/// <p>The identifier of the language and locale that the bot will be used in. The string must match one of the supported locales. All of the intents, slot types, and slots used in the bot must have the same locale. For more information, see <a href="https://docs.aws.amazon.com/lexv2/latest/dg/how-languages.html">Supported languages</a>.</p>
pub fn locale_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.locale_id(input.into());
self
}
/// <p>The identifier of the language and locale that the bot will be used in. The string must match one of the supported locales. All of the intents, slot types, and slots used in the bot must have the same locale. For more information, see <a href="https://docs.aws.amazon.com/lexv2/latest/dg/how-languages.html">Supported languages</a>.</p>
pub fn set_locale_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_locale_id(input);
self
}
/// <p>The identifier of the language and locale that the bot will be used in. The string must match one of the supported locales. All of the intents, slot types, and slots used in the bot must have the same locale. For more information, see <a href="https://docs.aws.amazon.com/lexv2/latest/dg/how-languages.html">Supported languages</a>.</p>
pub fn get_locale_id(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_locale_id()
}
/// <p>A description of the bot locale. Use this to help identify the bot locale in lists.</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 of the bot locale. Use this to help identify the bot locale in lists.</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 of the bot locale. Use this to help identify the bot locale in lists.</p>
pub fn get_description(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_description()
}
/// <p>Determines the threshold where Amazon Lex will insert the <code>AMAZON.FallbackIntent</code>, <code>AMAZON.KendraSearchIntent</code>, or both when returning alternative intents. <code>AMAZON.FallbackIntent</code> and <code>AMAZON.KendraSearchIntent</code> are only inserted if they are configured for the bot.</p>
/// <p>For example, suppose a bot is configured with the confidence threshold of 0.80 and the <code>AMAZON.FallbackIntent</code>. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the <code>RecognizeText</code> operation would be:</p>
/// <ul>
/// <li>
/// <p>AMAZON.FallbackIntent</p></li>
/// <li>
/// <p>IntentA</p></li>
/// <li>
/// <p>IntentB</p></li>
/// <li>
/// <p>IntentC</p></li>
/// </ul>
pub fn nlu_intent_confidence_threshold(mut self, input: f64) -> Self {
self.inner = self.inner.nlu_intent_confidence_threshold(input);
self
}
/// <p>Determines the threshold where Amazon Lex will insert the <code>AMAZON.FallbackIntent</code>, <code>AMAZON.KendraSearchIntent</code>, or both when returning alternative intents. <code>AMAZON.FallbackIntent</code> and <code>AMAZON.KendraSearchIntent</code> are only inserted if they are configured for the bot.</p>
/// <p>For example, suppose a bot is configured with the confidence threshold of 0.80 and the <code>AMAZON.FallbackIntent</code>. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the <code>RecognizeText</code> operation would be:</p>
/// <ul>
/// <li>
/// <p>AMAZON.FallbackIntent</p></li>
/// <li>
/// <p>IntentA</p></li>
/// <li>
/// <p>IntentB</p></li>
/// <li>
/// <p>IntentC</p></li>
/// </ul>
pub fn set_nlu_intent_confidence_threshold(mut self, input: ::std::option::Option<f64>) -> Self {
self.inner = self.inner.set_nlu_intent_confidence_threshold(input);
self
}
/// <p>Determines the threshold where Amazon Lex will insert the <code>AMAZON.FallbackIntent</code>, <code>AMAZON.KendraSearchIntent</code>, or both when returning alternative intents. <code>AMAZON.FallbackIntent</code> and <code>AMAZON.KendraSearchIntent</code> are only inserted if they are configured for the bot.</p>
/// <p>For example, suppose a bot is configured with the confidence threshold of 0.80 and the <code>AMAZON.FallbackIntent</code>. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the <code>RecognizeText</code> operation would be:</p>
/// <ul>
/// <li>
/// <p>AMAZON.FallbackIntent</p></li>
/// <li>
/// <p>IntentA</p></li>
/// <li>
/// <p>IntentB</p></li>
/// <li>
/// <p>IntentC</p></li>
/// </ul>
pub fn get_nlu_intent_confidence_threshold(&self) -> &::std::option::Option<f64> {
self.inner.get_nlu_intent_confidence_threshold()
}
/// <p>The Amazon Polly voice ID that Amazon Lex uses for voice interaction with the user.</p>
pub fn voice_settings(mut self, input: crate::types::VoiceSettings) -> Self {
self.inner = self.inner.voice_settings(input);
self
}
/// <p>The Amazon Polly voice ID that Amazon Lex uses for voice interaction with the user.</p>
pub fn set_voice_settings(mut self, input: ::std::option::Option<crate::types::VoiceSettings>) -> Self {
self.inner = self.inner.set_voice_settings(input);
self
}
/// <p>The Amazon Polly voice ID that Amazon Lex uses for voice interaction with the user.</p>
pub fn get_voice_settings(&self) -> &::std::option::Option<crate::types::VoiceSettings> {
self.inner.get_voice_settings()
}
/// <p>Unified speech settings to configure for the new bot locale.</p>
pub fn unified_speech_settings(mut self, input: crate::types::UnifiedSpeechSettings) -> Self {
self.inner = self.inner.unified_speech_settings(input);
self
}
/// <p>Unified speech settings to configure for the new bot locale.</p>
pub fn set_unified_speech_settings(mut self, input: ::std::option::Option<crate::types::UnifiedSpeechSettings>) -> Self {
self.inner = self.inner.set_unified_speech_settings(input);
self
}
/// <p>Unified speech settings to configure for the new bot locale.</p>
pub fn get_unified_speech_settings(&self) -> &::std::option::Option<crate::types::UnifiedSpeechSettings> {
self.inner.get_unified_speech_settings()
}
/// <p>Audio filler settings to configure for the new bot locale. When enabled, Amazon Lex plays a brief background audio filler during speech-to-speech interactions to mask processing delays. Requires <code>unifiedSpeechSettings</code> (speech-to-speech) to be configured on the bot locale.</p>
pub fn audio_filler_settings(mut self, input: crate::types::AudioFillerSettings) -> Self {
self.inner = self.inner.audio_filler_settings(input);
self
}
/// <p>Audio filler settings to configure for the new bot locale. When enabled, Amazon Lex plays a brief background audio filler during speech-to-speech interactions to mask processing delays. Requires <code>unifiedSpeechSettings</code> (speech-to-speech) to be configured on the bot locale.</p>
pub fn set_audio_filler_settings(mut self, input: ::std::option::Option<crate::types::AudioFillerSettings>) -> Self {
self.inner = self.inner.set_audio_filler_settings(input);
self
}
/// <p>Audio filler settings to configure for the new bot locale. When enabled, Amazon Lex plays a brief background audio filler during speech-to-speech interactions to mask processing delays. Requires <code>unifiedSpeechSettings</code> (speech-to-speech) to be configured on the bot locale.</p>
pub fn get_audio_filler_settings(&self) -> &::std::option::Option<crate::types::AudioFillerSettings> {
self.inner.get_audio_filler_settings()
}
/// <p>Speech-to-text settings to configure for the new bot locale.</p>
pub fn speech_recognition_settings(mut self, input: crate::types::SpeechRecognitionSettings) -> Self {
self.inner = self.inner.speech_recognition_settings(input);
self
}
/// <p>Speech-to-text settings to configure for the new bot locale.</p>
pub fn set_speech_recognition_settings(mut self, input: ::std::option::Option<crate::types::SpeechRecognitionSettings>) -> Self {
self.inner = self.inner.set_speech_recognition_settings(input);
self
}
/// <p>Speech-to-text settings to configure for the new bot locale.</p>
pub fn get_speech_recognition_settings(&self) -> &::std::option::Option<crate::types::SpeechRecognitionSettings> {
self.inner.get_speech_recognition_settings()
}
/// <p>Contains specifications about the generative AI capabilities from Amazon Bedrock that you can turn on for your bot.</p>
pub fn generative_ai_settings(mut self, input: crate::types::GenerativeAiSettings) -> Self {
self.inner = self.inner.generative_ai_settings(input);
self
}
/// <p>Contains specifications about the generative AI capabilities from Amazon Bedrock that you can turn on for your bot.</p>
pub fn set_generative_ai_settings(mut self, input: ::std::option::Option<crate::types::GenerativeAiSettings>) -> Self {
self.inner = self.inner.set_generative_ai_settings(input);
self
}
/// <p>Contains specifications about the generative AI capabilities from Amazon Bedrock that you can turn on for your bot.</p>
pub fn get_generative_ai_settings(&self) -> &::std::option::Option<crate::types::GenerativeAiSettings> {
self.inner.get_generative_ai_settings()
}
/// <p>The sensitivity level for voice activity detection (VAD) in the bot locale. This setting helps optimize speech recognition accuracy by adjusting how the system responds to background noise during voice interactions.</p>
pub fn speech_detection_sensitivity(mut self, input: crate::types::SpeechDetectionSensitivity) -> Self {
self.inner = self.inner.speech_detection_sensitivity(input);
self
}
/// <p>The sensitivity level for voice activity detection (VAD) in the bot locale. This setting helps optimize speech recognition accuracy by adjusting how the system responds to background noise during voice interactions.</p>
pub fn set_speech_detection_sensitivity(mut self, input: ::std::option::Option<crate::types::SpeechDetectionSensitivity>) -> Self {
self.inner = self.inner.set_speech_detection_sensitivity(input);
self
}
/// <p>The sensitivity level for voice activity detection (VAD) in the bot locale. This setting helps optimize speech recognition accuracy by adjusting how the system responds to background noise during voice interactions.</p>
pub fn get_speech_detection_sensitivity(&self) -> &::std::option::Option<crate::types::SpeechDetectionSensitivity> {
self.inner.get_speech_detection_sensitivity()
}
}