AWS SDK

rev. db10d8b7d1ddffb641e5651cb5b4c7c7d63bda6a

Files changed:

tmp-codegen-diff/aws-sdk/sdk/bedrockruntime/src/operation/get_async_invoke/builders.rs

@@ -0,1 +0,125 @@

 // Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
 pub use crate::operation::get_async_invoke::_get_async_invoke_output::GetAsyncInvokeOutputBuilder;
-+
 pub use crate::operation::get_async_invoke::_get_async_invoke_input::GetAsyncInvokeInputBuilder;
-+
 impl crate::operation::get_async_invoke::builders::GetAsyncInvokeInputBuilder {
     /// Sends a request with this input using the given client.
     pub async fn send_with(
         self,
         client: &crate::Client,
     ) -> ::std::result::Result<
         crate::operation::get_async_invoke::GetAsyncInvokeOutput,
         ::aws_smithy_runtime_api::client::result::SdkError<
             crate::operation::get_async_invoke::GetAsyncInvokeError,
             ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
         >,
     > {
         let mut fluent_builder = client.get_async_invoke();
         fluent_builder.inner = self;
         fluent_builder.send().await
-+
+    }
-+
+}
 /// Fluent builder constructing a request to `GetAsyncInvoke`.
 ///
 /// <p>Retrieve information about an asynchronous invocation.</p>
 #[derive(::std::clone::Clone, ::std::fmt::Debug)]
 pub struct GetAsyncInvokeFluentBuilder {
     handle: ::std::sync::Arc<crate::client::Handle>,
     inner: crate::operation::get_async_invoke::builders::GetAsyncInvokeInputBuilder,
     config_override: ::std::option::Option<crate::config::Builder>,
-+
+}
 impl
     crate::client::customize::internal::CustomizableSend<
         crate::operation::get_async_invoke::GetAsyncInvokeOutput,
         crate::operation::get_async_invoke::GetAsyncInvokeError,
     > for GetAsyncInvokeFluentBuilder
-+
+{
     fn send(
         self,
         config_override: crate::config::Builder,
     ) -> crate::client::customize::internal::BoxFuture<
         crate::client::customize::internal::SendResult<
             crate::operation::get_async_invoke::GetAsyncInvokeOutput,
             crate::operation::get_async_invoke::GetAsyncInvokeError,
         >,
     > {
         ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
-+
+    }
-+
+}
 impl GetAsyncInvokeFluentBuilder {
     /// Creates a new `GetAsyncInvokeFluentBuilder`.
     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 GetAsyncInvoke as a reference.
     pub fn as_input(&self) -> &crate::operation::get_async_invoke::builders::GetAsyncInvokeInputBuilder {
         &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::get_async_invoke::GetAsyncInvokeOutput,
         ::aws_smithy_runtime_api::client::result::SdkError<
             crate::operation::get_async_invoke::GetAsyncInvokeError,
             ::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::get_async_invoke::GetAsyncInvoke::operation_runtime_plugins(
             self.handle.runtime_plugins.clone(),
             &self.handle.conf,
             self.config_override,
         );
         crate::operation::get_async_invoke::GetAsyncInvoke::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::get_async_invoke::GetAsyncInvokeOutput,
         crate::operation::get_async_invoke::GetAsyncInvokeError,
         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 invocation's ARN.</p>
     pub fn invocation_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.inner = self.inner.invocation_arn(input.into());
         self
-+
+    }
     /// <p>The invocation's ARN.</p>
     pub fn set_invocation_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.inner = self.inner.set_invocation_arn(input);
         self
-+
+    }
     /// <p>The invocation's ARN.</p>
     pub fn get_invocation_arn(&self) -> &::std::option::Option<::std::string::String> {
         self.inner.get_invocation_arn()
-+
+    }
-+
+}

tmp-codegen-diff/aws-sdk/sdk/bedrockruntime/src/operation/invoke_model.rs

@@ -240,240 +455,468 @@

↥ Expand context

         >,
         cfg: &mut ::aws_smithy_types::config_bag::ConfigBag,
     ) -> ::std::result::Result<(), ::aws_smithy_runtime_api::box_error::BoxError> {
         let _input = context
             .input()
             .downcast_ref::<InvokeModelInput>()
             .ok_or("failed to downcast to InvokeModelInput")?;
-247
         let params = crate::config::endpoint::Params::builder()
             .set_region(cfg.load::<::aws_types::region::Region>().map(|r| r.as_ref().to_owned()))
             .set_use_dual_stack(cfg.load::<::aws_types::endpoint_config::UseDualStack>().map(|ty| ty.0))
             .set_use_fips(cfg.load::<::aws_types::endpoint_config::UseFips>().map(|ty| ty.0))
             .set_endpoint(cfg.load::<::aws_types::endpoint_config::EndpointUrl>().map(|ty| ty.0.clone()))
             .build()
             .map_err(|err| {
                 ::aws_smithy_runtime_api::client::interceptors::error::ContextAttachedError::new("endpoint params could not be built", err)
             })?;
         cfg.interceptor_state()
             .store_put(::aws_smithy_runtime_api::client::endpoint::EndpointResolverParams::new(params));
         ::std::result::Result::Ok(())

-260
+    }
-261
+}
-262
 // The get_* functions below are generated from JMESPath expressions in the
 // operationContextParams trait. They target the operation's input shape.
-265
 /// Error type for the `InvokeModelError` operation.
 #[non_exhaustive]
 #[derive(::std::fmt::Debug)]
 pub enum InvokeModelError {
     /// <p>The request is denied because of missing access permissions.</p>
     /// <p>The request is denied because you do not have sufficient permissions to perform the requested action. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-access-denied">AccessDeniedException</a> in the Amazon Bedrock User Guide</p>
     AccessDeniedException(crate::types::error::AccessDeniedException),
     /// <p>An internal server error occurred. Retry your request.</p>
     /// <p>An internal server error occurred. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-internal-failure">InternalFailure</a> in the Amazon Bedrock User Guide</p>
     InternalServerException(crate::types::error::InternalServerException),
     /// <p>The request failed due to an error while processing the model.</p>
     ModelErrorException(crate::types::error::ModelErrorException),
     /// <p>The model specified in the request is not ready to serve inference requests.</p>
     /// <p>The model specified in the request is not ready to serve inference requests. The AWS SDK will automatically retry the operation up to 5 times. For information about configuring automatic retries, see <a href="https://docs.aws.amazon.com/sdkref/latest/guide/feature-retry-behavior.html">Retry behavior</a> in the <i>AWS SDKs and Tools</i> reference guide.</p>
     ModelNotReadyException(crate::types::error::ModelNotReadyException),
     /// <p>The request took too long to process. Processing time exceeded the model timeout length.</p>
     ModelTimeoutException(crate::types::error::ModelTimeoutException),
     /// <p>The specified resource ARN was not found. Check the ARN and try your request again.</p>
     /// <p>The specified resource ARN was not found. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-resource-not-found">ResourceNotFound</a> in the Amazon Bedrock User Guide</p>
     ResourceNotFoundException(crate::types::error::ResourceNotFoundException),
     /// <p>The number of requests exceeds the service quota. Resubmit your request later.</p>
     /// <p>Your request exceeds the service quota for your account. You can view your quotas at <a href="https://docs.aws.amazon.com/servicequotas/latest/userguide/gs-request-quota.html">Viewing service quotas</a>. You can resubmit your request later.</p>
     ServiceQuotaExceededException(crate::types::error::ServiceQuotaExceededException),
     /// <p>The number of requests exceeds the limit. Resubmit your request later.</p>
     /// <p>The service isn't currently available. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-service-unavailable">ServiceUnavailable</a> in the Amazon Bedrock User Guide</p>
     ServiceUnavailableException(crate::types::error::ServiceUnavailableException),
     /// <p>Your request was denied due to exceeding the account quotas for <i>Amazon Bedrock</i>. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-throttling-exception">ThrottlingException</a> in the Amazon Bedrock User Guide</p>
     ThrottlingException(crate::types::error::ThrottlingException),
     /// <p>Input validation failed. Check your request parameters and retry the request.</p>
     /// <p>The input fails to satisfy the constraints specified by <i>Amazon Bedrock</i>. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-validation-error">ValidationError</a> in the Amazon Bedrock User Guide</p>
     ValidationException(crate::types::error::ValidationException),
     /// An unexpected error occurred (e.g., invalid JSON returned by the service or an unknown error code).
     #[deprecated(note = "Matching `Unhandled` directly is not forwards compatible. Instead, match using a \
     variable wildcard pattern and check `.code()`:
-293
+     \
     &nbsp;&nbsp;&nbsp;`err if err.code() == Some(\"SpecificExceptionCode\") => { /* handle the error */ }`
-295
+     \
     See [`ProvideErrorMetadata`](#impl-ProvideErrorMetadata-for-InvokeModelError) for what information is available for the error.")]
     Unhandled(crate::error::sealed_unhandled::Unhandled),
-298
+}
 impl InvokeModelError {
     /// Creates the `InvokeModelError::Unhandled` variant from any error type.
     pub fn unhandled(
         err: impl ::std::convert::Into<::std::boxed::Box<dyn ::std::error::Error + ::std::marker::Send + ::std::marker::Sync + 'static>>,
     ) -> Self {
         Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
             source: err.into(),
             meta: ::std::default::Default::default(),
         })
-308
+    }
-309
     /// Creates the `InvokeModelError::Unhandled` variant from an [`ErrorMetadata`](::aws_smithy_types::error::ErrorMetadata).
     pub fn generic(err: ::aws_smithy_types::error::ErrorMetadata) -> Self {
         Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
             source: err.clone().into(),
             meta: err,
         })
-316
+    }
     ///
     /// Returns error metadata, which includes the error code, message,
     /// request ID, and potentially additional information.
     ///
     pub fn meta(&self) -> &::aws_smithy_types::error::ErrorMetadata {
         match self {
             Self::AccessDeniedException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::InternalServerException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ModelErrorException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ModelNotReadyException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ModelTimeoutException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ResourceNotFoundException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ServiceQuotaExceededException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ServiceUnavailableException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ThrottlingException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ValidationException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::Unhandled(e) => &e.meta,
-334
+        }
-335
+    }
     /// Returns `true` if the error kind is `InvokeModelError::AccessDeniedException`.
     pub fn is_access_denied_exception(&self) -> bool {
         matches!(self, Self::AccessDeniedException(_))
-339
+    }
     /// Returns `true` if the error kind is `InvokeModelError::InternalServerException`.
     pub fn is_internal_server_exception(&self) -> bool {
         matches!(self, Self::InternalServerException(_))
-343
+    }
     /// Returns `true` if the error kind is `InvokeModelError::ModelErrorException`.
     pub fn is_model_error_exception(&self) -> bool {
         matches!(self, Self::ModelErrorException(_))
-347
+    }
     /// Returns `true` if the error kind is `InvokeModelError::ModelNotReadyException`.
     pub fn is_model_not_ready_exception(&self) -> bool {
         matches!(self, Self::ModelNotReadyException(_))
-351
+    }
     /// Returns `true` if the error kind is `InvokeModelError::ModelTimeoutException`.
     pub fn is_model_timeout_exception(&self) -> bool {
         matches!(self, Self::ModelTimeoutException(_))
-355
+    }
     /// Returns `true` if the error kind is `InvokeModelError::ResourceNotFoundException`.
     pub fn is_resource_not_found_exception(&self) -> bool {
         matches!(self, Self::ResourceNotFoundException(_))
-359
+    }
     /// Returns `true` if the error kind is `InvokeModelError::ServiceQuotaExceededException`.
     pub fn is_service_quota_exceeded_exception(&self) -> bool {
         matches!(self, Self::ServiceQuotaExceededException(_))
-363
+    }
     /// Returns `true` if the error kind is `InvokeModelError::ServiceUnavailableException`.
     pub fn is_service_unavailable_exception(&self) -> bool {
         matches!(self, Self::ServiceUnavailableException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelError::ThrottlingException`.
     pub fn is_throttling_exception(&self) -> bool {
         matches!(self, Self::ThrottlingException(_))
-371
+    }
     /// Returns `true` if the error kind is `InvokeModelError::ValidationException`.
     pub fn is_validation_exception(&self) -> bool {
         matches!(self, Self::ValidationException(_))
-375
+    }
-376
+}
 impl ::std::error::Error for InvokeModelError {
     fn source(&self) -> ::std::option::Option<&(dyn ::std::error::Error + 'static)> {
         match self {
             Self::AccessDeniedException(_inner) => ::std::option::Option::Some(_inner),
             Self::InternalServerException(_inner) => ::std::option::Option::Some(_inner),
             Self::ModelErrorException(_inner) => ::std::option::Option::Some(_inner),
             Self::ModelNotReadyException(_inner) => ::std::option::Option::Some(_inner),
             Self::ModelTimeoutException(_inner) => ::std::option::Option::Some(_inner),
             Self::ResourceNotFoundException(_inner) => ::std::option::Option::Some(_inner),
             Self::ServiceQuotaExceededException(_inner) => ::std::option::Option::Some(_inner),
             Self::ServiceUnavailableException(_inner) => ::std::option::Option::Some(_inner),
             Self::ThrottlingException(_inner) => ::std::option::Option::Some(_inner),
             Self::ValidationException(_inner) => ::std::option::Option::Some(_inner),
             Self::Unhandled(_inner) => ::std::option::Option::Some(&*_inner.source),
-391
+        }
-392
+    }
-393
+}
 impl ::std::fmt::Display for InvokeModelError {
     fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
         match self {
             Self::AccessDeniedException(_inner) => _inner.fmt(f),
             Self::InternalServerException(_inner) => _inner.fmt(f),
             Self::ModelErrorException(_inner) => _inner.fmt(f),
             Self::ModelNotReadyException(_inner) => _inner.fmt(f),
             Self::ModelTimeoutException(_inner) => _inner.fmt(f),
             Self::ResourceNotFoundException(_inner) => _inner.fmt(f),
             Self::ServiceQuotaExceededException(_inner) => _inner.fmt(f),
             Self::ServiceUnavailableException(_inner) => _inner.fmt(f),
             Self::ThrottlingException(_inner) => _inner.fmt(f),
             Self::ValidationException(_inner) => _inner.fmt(f),
             Self::Unhandled(_inner) => {
                 if let ::std::option::Option::Some(code) = ::aws_smithy_types::error::metadata::ProvideErrorMetadata::code(self) {
                     write!(f, "unhandled error ({code})")
                 } else {
                     f.write_str("unhandled error")
-412
+                }
-413
+            }
-414
+        }
-415
+    }
-416
+}
 impl ::aws_smithy_types::retry::ProvideErrorKind for InvokeModelError {
     fn code(&self) -> ::std::option::Option<&str> {
         ::aws_smithy_types::error::metadata::ProvideErrorMetadata::code(self)
-420
+    }
     fn retryable_error_kind(&self) -> ::std::option::Option<::aws_smithy_types::retry::ErrorKind> {
         ::std::option::Option::None
         match self {
             Self::ModelNotReadyException(inner) => ::std::option::Option::Some(inner.retryable_error_kind()),
             _ => ::std::option::Option::None,
-+
+        }
-426
+    }
-427
+}
 impl ::aws_smithy_types::error::metadata::ProvideErrorMetadata for InvokeModelError {
     fn meta(&self) -> &::aws_smithy_types::error::ErrorMetadata {
         match self {
             Self::AccessDeniedException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::InternalServerException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ModelErrorException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ModelNotReadyException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ModelTimeoutException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ResourceNotFoundException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ServiceQuotaExceededException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ServiceUnavailableException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ThrottlingException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ValidationException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::Unhandled(_inner) => &_inner.meta,
-442
+        }
-443
+    }
-444
+}
 impl ::aws_smithy_runtime_api::client::result::CreateUnhandledError for InvokeModelError {
     fn create_unhandled_error(
         source: ::std::boxed::Box<dyn ::std::error::Error + ::std::marker::Send + ::std::marker::Sync + 'static>,
         meta: ::std::option::Option<::aws_smithy_types::error::ErrorMetadata>,

↧ Expand context

     ) -> Self {
         Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
             source,
             meta: meta.unwrap_or_default(),
         })
-454
+    }
-455
+}
 impl ::aws_types::request_id::RequestId for crate::operation::invoke_model::InvokeModelError {
     fn request_id(&self) -> Option<&str> {
         self.meta().request_id()
-459
+    }
-460
+}
-461
 pub use crate::operation::invoke_model::_invoke_model_output::InvokeModelOutput;
-463
 pub use crate::operation::invoke_model::_invoke_model_input::InvokeModelInput;
-465
 mod _invoke_model_input;
-467
 mod _invoke_model_output;

tmp-codegen-diff/aws-sdk/sdk/bedrockruntime/src/operation/invoke_model/_invoke_model_input.rs

@@ -1,1 +230,257 @@

 // Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
 #[allow(missing_docs)] // documentation missing in model
 #[non_exhaustive]
 #[derive(::std::clone::Clone, ::std::cmp::PartialEq)]
 pub struct InvokeModelInput {
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub body: ::std::option::Option<::aws_smithy_types::Blob>,
     /// <p>The MIME type of the input data in the request. The default value is <code>application/json</code>.</p>
     /// <p>The MIME type of the input data in the request. You must specify <code>application/json</code>.</p>
     pub content_type: ::std::option::Option<::std::string::String>,
     /// <p>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</p>
     pub accept: ::std::option::Option<::std::string::String>,
     /// <p>The unique identifier of the model to invoke to run inference.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model that you use:</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model or throughput that you use:</p>
     /// <ul>
     /// <li>
     /// <p>If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns">Amazon Bedrock base model IDs (on-demand throughput)</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference-support.html">Supported Regions and models for cross-region inference</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prov-thru-use.html">Run inference using a Provisioned Throughput</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <p>If you use a custom model, specify the ARN of the custom model deployment (for on-demand inference) or the ARN of your provisioned model (for Provisioned Throughput). For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported model</a>, specify the ARN of the imported model. You can get the model ARN from a successful call to <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateModelImportJob.html">CreateModelImportJob</a> or from the Imported models page in the Amazon Bedrock console.</p></li>
     /// </ul>
     pub model_id: ::std::option::Option<::std::string::String>,
     /// <p>Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.</p>
     pub trace: ::std::option::Option<crate::types::Trace>,
     /// <p>The unique identifier of the guardrail that you want to use. If you don't provide a value, no guardrail is applied to the invocation.</p>
     /// <p>An error will be thrown in the following situations.</p>
     /// <ul>
     /// <li>
     /// <p>You don't provide a guardrail identifier but you specify the <code>amazon-bedrock-guardrailConfig</code> field in the request body.</p></li>
     /// <li>
     /// <p>You enable the guardrail but the <code>contentType</code> isn't <code>application/json</code>.</p></li>
     /// <li>
     /// <p>You provide a guardrail identifier, but <code>guardrailVersion</code> isn't specified.</p></li>
     /// </ul>
     pub guardrail_identifier: ::std::option::Option<::std::string::String>,
     /// <p>The version number for the guardrail. The value can also be <code>DRAFT</code>.</p>
     pub guardrail_version: ::std::option::Option<::std::string::String>,
     /// <p>Model performance settings for the request.</p>
     pub performance_config_latency: ::std::option::Option<crate::types::PerformanceConfigLatency>,
-44
+}
 impl InvokeModelInput {
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub fn body(&self) -> ::std::option::Option<&::aws_smithy_types::Blob> {
         self.body.as_ref()
-49
+    }
     /// <p>The MIME type of the input data in the request. The default value is <code>application/json</code>.</p>
     /// <p>The MIME type of the input data in the request. You must specify <code>application/json</code>.</p>
     pub fn content_type(&self) -> ::std::option::Option<&str> {
         self.content_type.as_deref()
-53
+    }
     /// <p>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</p>
     pub fn accept(&self) -> ::std::option::Option<&str> {
         self.accept.as_deref()
-57
+    }
     /// <p>The unique identifier of the model to invoke to run inference.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model that you use:</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model or throughput that you use:</p>
     /// <ul>
     /// <li>
     /// <p>If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns">Amazon Bedrock base model IDs (on-demand throughput)</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference-support.html">Supported Regions and models for cross-region inference</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prov-thru-use.html">Run inference using a Provisioned Throughput</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <p>If you use a custom model, specify the ARN of the custom model deployment (for on-demand inference) or the ARN of your provisioned model (for Provisioned Throughput). For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported model</a>, specify the ARN of the imported model. You can get the model ARN from a successful call to <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateModelImportJob.html">CreateModelImportJob</a> or from the Imported models page in the Amazon Bedrock console.</p></li>
     /// </ul>
     pub fn model_id(&self) -> ::std::option::Option<&str> {
         self.model_id.as_deref()
-74
+    }
     /// <p>Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.</p>
     pub fn trace(&self) -> ::std::option::Option<&crate::types::Trace> {
         self.trace.as_ref()
-78
+    }
     /// <p>The unique identifier of the guardrail that you want to use. If you don't provide a value, no guardrail is applied to the invocation.</p>
     /// <p>An error will be thrown in the following situations.</p>
     /// <ul>
     /// <li>
     /// <p>You don't provide a guardrail identifier but you specify the <code>amazon-bedrock-guardrailConfig</code> field in the request body.</p></li>
     /// <li>
     /// <p>You enable the guardrail but the <code>contentType</code> isn't <code>application/json</code>.</p></li>
     /// <li>
     /// <p>You provide a guardrail identifier, but <code>guardrailVersion</code> isn't specified.</p></li>
     /// </ul>
     pub fn guardrail_identifier(&self) -> ::std::option::Option<&str> {
         self.guardrail_identifier.as_deref()
-91
+    }
     /// <p>The version number for the guardrail. The value can also be <code>DRAFT</code>.</p>
     pub fn guardrail_version(&self) -> ::std::option::Option<&str> {
         self.guardrail_version.as_deref()
-95
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn performance_config_latency(&self) -> ::std::option::Option<&crate::types::PerformanceConfigLatency> {
         self.performance_config_latency.as_ref()
-+
+    }
-100
+}
 impl ::std::fmt::Debug for InvokeModelInput {
     fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
         let mut formatter = f.debug_struct("InvokeModelInput");
         formatter.field("body", &"*** Sensitive Data Redacted ***");
         formatter.field("content_type", &self.content_type);
         formatter.field("accept", &self.accept);
         formatter.field("model_id", &self.model_id);
         formatter.field("trace", &self.trace);
         formatter.field("guardrail_identifier", &self.guardrail_identifier);
         formatter.field("guardrail_version", &self.guardrail_version);
         formatter.field("performance_config_latency", &self.performance_config_latency);
         formatter.finish()
-113
+    }
-114
+}
 impl InvokeModelInput {
     /// Creates a new builder-style object to manufacture [`InvokeModelInput`](crate::operation::invoke_model::InvokeModelInput).
     pub fn builder() -> crate::operation::invoke_model::builders::InvokeModelInputBuilder {
         crate::operation::invoke_model::builders::InvokeModelInputBuilder::default()
-119
+    }
-120
+}
-121
 /// A builder for [`InvokeModelInput`](crate::operation::invoke_model::InvokeModelInput).
 #[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default)]
 #[non_exhaustive]
 pub struct InvokeModelInputBuilder {
     pub(crate) body: ::std::option::Option<::aws_smithy_types::Blob>,
     pub(crate) content_type: ::std::option::Option<::std::string::String>,
     pub(crate) accept: ::std::option::Option<::std::string::String>,
     pub(crate) model_id: ::std::option::Option<::std::string::String>,
     pub(crate) trace: ::std::option::Option<crate::types::Trace>,
     pub(crate) guardrail_identifier: ::std::option::Option<::std::string::String>,
     pub(crate) guardrail_version: ::std::option::Option<::std::string::String>,
     pub(crate) performance_config_latency: ::std::option::Option<crate::types::PerformanceConfigLatency>,
-134
+}
 impl InvokeModelInputBuilder {
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     /// This field is required.
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub fn body(mut self, input: ::aws_smithy_types::Blob) -> Self {
         self.body = ::std::option::Option::Some(input);
         self
-140
+    }
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub fn set_body(mut self, input: ::std::option::Option<::aws_smithy_types::Blob>) -> Self {
         self.body = input;
         self
-145
+    }
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub fn get_body(&self) -> &::std::option::Option<::aws_smithy_types::Blob> {
         &self.body
-149
+    }
     /// <p>The MIME type of the input data in the request. The default value is <code>application/json</code>.</p>
     /// <p>The MIME type of the input data in the request. You must specify <code>application/json</code>.</p>
     pub fn content_type(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.content_type = ::std::option::Option::Some(input.into());
         self
-154
+    }
     /// <p>The MIME type of the input data in the request. The default value is <code>application/json</code>.</p>
     /// <p>The MIME type of the input data in the request. You must specify <code>application/json</code>.</p>
     pub fn set_content_type(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.content_type = input;
         self
-159
+    }
     /// <p>The MIME type of the input data in the request. The default value is <code>application/json</code>.</p>
     /// <p>The MIME type of the input data in the request. You must specify <code>application/json</code>.</p>
     pub fn get_content_type(&self) -> &::std::option::Option<::std::string::String> {
         &self.content_type
-163
+    }
     /// <p>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</p>
     pub fn accept(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.accept = ::std::option::Option::Some(input.into());
         self
-168
+    }
     /// <p>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</p>
     pub fn set_accept(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.accept = input;
         self
-173
+    }
     /// <p>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</p>
     pub fn get_accept(&self) -> &::std::option::Option<::std::string::String> {
         &self.accept
-177
+    }
     /// <p>The unique identifier of the model to invoke to run inference.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model that you use:</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model or throughput that you use:</p>
     /// <ul>
     /// <li>
     /// <p>If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns">Amazon Bedrock base model IDs (on-demand throughput)</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference-support.html">Supported Regions and models for cross-region inference</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prov-thru-use.html">Run inference using a Provisioned Throughput</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <p>If you use a custom model, specify the ARN of the custom model deployment (for on-demand inference) or the ARN of your provisioned model (for Provisioned Throughput). For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported model</a>, specify the ARN of the imported model. You can get the model ARN from a successful call to <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateModelImportJob.html">CreateModelImportJob</a> or from the Imported models page in the Amazon Bedrock console.</p></li>
     /// </ul>
     /// This field is required.
     pub fn model_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.model_id = ::std::option::Option::Some(input.into());
         self
-196
+    }
     /// <p>The unique identifier of the model to invoke to run inference.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model that you use:</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model or throughput that you use:</p>
     /// <ul>
     /// <li>
     /// <p>If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns">Amazon Bedrock base model IDs (on-demand throughput)</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference-support.html">Supported Regions and models for cross-region inference</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prov-thru-use.html">Run inference using a Provisioned Throughput</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <p>If you use a custom model, specify the ARN of the custom model deployment (for on-demand inference) or the ARN of your provisioned model (for Provisioned Throughput). For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported model</a>, specify the ARN of the imported model. You can get the model ARN from a successful call to <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateModelImportJob.html">CreateModelImportJob</a> or from the Imported models page in the Amazon Bedrock console.</p></li>
     /// </ul>
     pub fn set_model_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.model_id = input;
         self
-214
+    }
     /// <p>The unique identifier of the model to invoke to run inference.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model that you use:</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model or throughput that you use:</p>
     /// <ul>
     /// <li>
     /// <p>If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns">Amazon Bedrock base model IDs (on-demand throughput)</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference-support.html">Supported Regions and models for cross-region inference</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prov-thru-use.html">Run inference using a Provisioned Throughput</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <p>If you use a custom model, specify the ARN of the custom model deployment (for on-demand inference) or the ARN of your provisioned model (for Provisioned Throughput). For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported model</a>, specify the ARN of the imported model. You can get the model ARN from a successful call to <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateModelImportJob.html">CreateModelImportJob</a> or from the Imported models page in the Amazon Bedrock console.</p></li>
     /// </ul>
     pub fn get_model_id(&self) -> &::std::option::Option<::std::string::String> {
         &self.model_id
-231
+    }
     /// <p>Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.</p>
     pub fn trace(mut self, input: crate::types::Trace) -> Self {
         self.trace = ::std::option::Option::Some(input);
         self
-236
+    }
     /// <p>Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.</p>

↧ Expand context

     pub fn set_trace(mut self, input: ::std::option::Option<crate::types::Trace>) -> Self {
         self.trace = input;
         self
-241
+    }
     /// <p>Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.</p>
     pub fn get_trace(&self) -> &::std::option::Option<crate::types::Trace> {
         &self.trace
-245
+    }
     /// <p>The unique identifier of the guardrail that you want to use. If you don't provide a value, no guardrail is applied to the invocation.</p>
     /// <p>An error will be thrown in the following situations.</p>
     /// <ul>
     /// <li>
     /// <p>You don't provide a guardrail identifier but you specify the <code>amazon-bedrock-guardrailConfig</code> field in the request body.</p></li>
     /// <li>
     /// <p>You enable the guardrail but the <code>contentType</code> isn't <code>application/json</code>.</p></li>
     /// <li>
     /// <p>You provide a guardrail identifier, but <code>guardrailVersion</code> isn't specified.</p></li>
     /// </ul>
     pub fn guardrail_identifier(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.guardrail_identifier = ::std::option::Option::Some(input.into());

@@ -244,271 +299,342 @@

↥ Expand context

         self.guardrail_identifier = input;
         self
-273
+    }
     /// <p>The unique identifier of the guardrail that you want to use. If you don't provide a value, no guardrail is applied to the invocation.</p>
     /// <p>An error will be thrown in the following situations.</p>
     /// <ul>
     /// <li>
     /// <p>You don't provide a guardrail identifier but you specify the <code>amazon-bedrock-guardrailConfig</code> field in the request body.</p></li>
     /// <li>
     /// <p>You enable the guardrail but the <code>contentType</code> isn't <code>application/json</code>.</p></li>
     /// <li>
     /// <p>You provide a guardrail identifier, but <code>guardrailVersion</code> isn't specified.</p></li>
     /// </ul>
     pub fn get_guardrail_identifier(&self) -> &::std::option::Option<::std::string::String> {
         &self.guardrail_identifier
-286
+    }
     /// <p>The version number for the guardrail. The value can also be <code>DRAFT</code>.</p>
     pub fn guardrail_version(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.guardrail_version = ::std::option::Option::Some(input.into());
         self

-291
+    }
     /// <p>The version number for the guardrail. The value can also be <code>DRAFT</code>.</p>
     pub fn set_guardrail_version(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.guardrail_version = input;
         self
-296
+    }
     /// <p>The version number for the guardrail. The value can also be <code>DRAFT</code>.</p>
     pub fn get_guardrail_version(&self) -> &::std::option::Option<::std::string::String> {
         &self.guardrail_version
-300
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn performance_config_latency(mut self, input: crate::types::PerformanceConfigLatency) -> Self {
         self.performance_config_latency = ::std::option::Option::Some(input);
         self
-+
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn set_performance_config_latency(mut self, input: ::std::option::Option<crate::types::PerformanceConfigLatency>) -> Self {
         self.performance_config_latency = input;
         self
-+
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn get_performance_config_latency(&self) -> &::std::option::Option<crate::types::PerformanceConfigLatency> {
         &self.performance_config_latency
-+
+    }
     /// Consumes the builder and constructs a [`InvokeModelInput`](crate::operation::invoke_model::InvokeModelInput).
     pub fn build(self) -> ::std::result::Result<crate::operation::invoke_model::InvokeModelInput, ::aws_smithy_types::error::operation::BuildError> {
         ::std::result::Result::Ok(crate::operation::invoke_model::InvokeModelInput {
             body: self.body,
             content_type: self.content_type,
             accept: self.accept,
             model_id: self.model_id,
             trace: self.trace,
             guardrail_identifier: self.guardrail_identifier,
             guardrail_version: self.guardrail_version,
             performance_config_latency: self.performance_config_latency,
         })
-327
+    }
-328
+}
 impl ::std::fmt::Debug for InvokeModelInputBuilder {
     fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
         let mut formatter = f.debug_struct("InvokeModelInputBuilder");
         formatter.field("body", &"*** Sensitive Data Redacted ***");
         formatter.field("content_type", &self.content_type);
         formatter.field("accept", &self.accept);
         formatter.field("model_id", &self.model_id);
         formatter.field("trace", &self.trace);
         formatter.field("guardrail_identifier", &self.guardrail_identifier);
         formatter.field("guardrail_version", &self.guardrail_version);
         formatter.field("performance_config_latency", &self.performance_config_latency);
         formatter.finish()
-341
+    }
-342
+}

tmp-codegen-diff/aws-sdk/sdk/bedrockruntime/src/operation/invoke_model/_invoke_model_output.rs

@@ -1,1 +122,146 @@

 // Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
 #[allow(missing_docs)] // documentation missing in model
 #[non_exhaustive]
 #[derive(::std::clone::Clone, ::std::cmp::PartialEq)]
 pub struct InvokeModelOutput {
     /// <p>Inference response from the model in the format specified in the <code>contentType</code> header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
     pub body: ::aws_smithy_types::Blob,
     /// <p>The MIME type of the inference result.</p>
     pub content_type: ::std::string::String,
     /// <p>Model performance settings for the request.</p>
     pub performance_config_latency: ::std::option::Option<crate::types::PerformanceConfigLatency>,
     _request_id: Option<String>,
-13
+}
 impl InvokeModelOutput {
     /// <p>Inference response from the model in the format specified in the <code>contentType</code> header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
     pub fn body(&self) -> &::aws_smithy_types::Blob {
         &self.body
-18
+    }
     /// <p>The MIME type of the inference result.</p>
     pub fn content_type(&self) -> &str {
         use std::ops::Deref;
         self.content_type.deref()
-23
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn performance_config_latency(&self) -> ::std::option::Option<&crate::types::PerformanceConfigLatency> {
         self.performance_config_latency.as_ref()
-+
+    }
-28
+}
 impl ::std::fmt::Debug for InvokeModelOutput {
     fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
         let mut formatter = f.debug_struct("InvokeModelOutput");
         formatter.field("body", &"*** Sensitive Data Redacted ***");
         formatter.field("content_type", &self.content_type);
         formatter.field("performance_config_latency", &self.performance_config_latency);
         formatter.field("_request_id", &self._request_id);
         formatter.finish()
-37
+    }
-38
+}
 impl ::aws_types::request_id::RequestId for InvokeModelOutput {
     fn request_id(&self) -> Option<&str> {
         self._request_id.as_deref()
-42
+    }
-43
+}
 impl InvokeModelOutput {
     /// Creates a new builder-style object to manufacture [`InvokeModelOutput`](crate::operation::invoke_model::InvokeModelOutput).
     pub fn builder() -> crate::operation::invoke_model::builders::InvokeModelOutputBuilder {
         crate::operation::invoke_model::builders::InvokeModelOutputBuilder::default()
-48
+    }
-49
+}
-50
 /// A builder for [`InvokeModelOutput`](crate::operation::invoke_model::InvokeModelOutput).
 #[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default)]
 #[non_exhaustive]
 pub struct InvokeModelOutputBuilder {
     pub(crate) body: ::std::option::Option<::aws_smithy_types::Blob>,
     pub(crate) content_type: ::std::option::Option<::std::string::String>,
     pub(crate) performance_config_latency: ::std::option::Option<crate::types::PerformanceConfigLatency>,
     _request_id: Option<String>,
-59
+}
 impl InvokeModelOutputBuilder {
     /// <p>Inference response from the model in the format specified in the <code>contentType</code> header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
     /// This field is required.
     pub fn body(mut self, input: ::aws_smithy_types::Blob) -> Self {
         self.body = ::std::option::Option::Some(input);
         self
-66
+    }
     /// <p>Inference response from the model in the format specified in the <code>contentType</code> header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
     pub fn set_body(mut self, input: ::std::option::Option<::aws_smithy_types::Blob>) -> Self {
         self.body = input;
         self
-71
+    }
     /// <p>Inference response from the model in the format specified in the <code>contentType</code> header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
     pub fn get_body(&self) -> &::std::option::Option<::aws_smithy_types::Blob> {
         &self.body
-75
+    }
     /// <p>The MIME type of the inference result.</p>
     /// This field is required.
     pub fn content_type(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.content_type = ::std::option::Option::Some(input.into());
         self
-81
+    }
     /// <p>The MIME type of the inference result.</p>
     pub fn set_content_type(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.content_type = input;
         self
-86
+    }
     /// <p>The MIME type of the inference result.</p>
     pub fn get_content_type(&self) -> &::std::option::Option<::std::string::String> {
         &self.content_type
-90
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn performance_config_latency(mut self, input: crate::types::PerformanceConfigLatency) -> Self {
         self.performance_config_latency = ::std::option::Option::Some(input);
         self
-+
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn set_performance_config_latency(mut self, input: ::std::option::Option<crate::types::PerformanceConfigLatency>) -> Self {
         self.performance_config_latency = input;
         self
-+
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn get_performance_config_latency(&self) -> &::std::option::Option<crate::types::PerformanceConfigLatency> {
         &self.performance_config_latency
-+
+    }
     pub(crate) fn _request_id(mut self, request_id: impl Into<String>) -> Self {
         self._request_id = Some(request_id.into());
         self
-108
+    }
-109
     pub(crate) fn _set_request_id(&mut self, request_id: Option<String>) -> &mut Self {
         self._request_id = request_id;
         self
-113
+    }
     /// Consumes the builder and constructs a [`InvokeModelOutput`](crate::operation::invoke_model::InvokeModelOutput).
     /// This method will fail if any of the following fields are not set:
     /// - [`body`](crate::operation::invoke_model::builders::InvokeModelOutputBuilder::body)
     /// - [`content_type`](crate::operation::invoke_model::builders::InvokeModelOutputBuilder::content_type)
     pub fn build(self) -> ::std::result::Result<crate::operation::invoke_model::InvokeModelOutput, ::aws_smithy_types::error::operation::BuildError> {
         ::std::result::Result::Ok(crate::operation::invoke_model::InvokeModelOutput {
             body: self.body.ok_or_else(|| {
                 ::aws_smithy_types::error::operation::BuildError::missing_field(
                     "body",
                     "body was not specified but it is required when building InvokeModelOutput",
-124
+                )
             })?,
             content_type: self.content_type.ok_or_else(|| {
                 ::aws_smithy_types::error::operation::BuildError::missing_field(
                     "content_type",
                     "content_type was not specified but it is required when building InvokeModelOutput",
-130
+                )
             })?,
             performance_config_latency: self.performance_config_latency,
             _request_id: self._request_id,
         })
-135
+    }
-136
+}
 impl ::std::fmt::Debug for InvokeModelOutputBuilder {
     fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
         let mut formatter = f.debug_struct("InvokeModelOutputBuilder");
         formatter.field("body", &"*** Sensitive Data Redacted ***");
         formatter.field("content_type", &self.content_type);
         formatter.field("performance_config_latency", &self.performance_config_latency);
         formatter.field("_request_id", &self._request_id);
         formatter.finish()
-145
+    }
-146
+}

tmp-codegen-diff/aws-sdk/sdk/bedrockruntime/src/operation/invoke_model/builders.rs

@@ -1,1 +57,60 @@

↥ Expand context

 // Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
 pub use crate::operation::invoke_model::_invoke_model_output::InvokeModelOutputBuilder;
-3
 pub use crate::operation::invoke_model::_invoke_model_input::InvokeModelInputBuilder;
-5
 impl crate::operation::invoke_model::builders::InvokeModelInputBuilder {
     /// Sends a request with this input using the given client.
     pub async fn send_with(
         self,
         client: &crate::Client,
     ) -> ::std::result::Result<
         crate::operation::invoke_model::InvokeModelOutput,
         ::aws_smithy_runtime_api::client::result::SdkError<
             crate::operation::invoke_model::InvokeModelError,
             ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
         >,

     > {
         let mut fluent_builder = client.invoke_model();
         fluent_builder.inner = self;
         fluent_builder.send().await
-21
+    }
-22
+}
 /// Fluent builder constructing a request to `InvokeModel`.
 ///
 /// <p>Invokes the specified Amazon Bedrock model to run inference using the prompt and inference parameters provided in the request body. You use model inference to generate text, images, and embeddings.</p>
 /// <p>For example code, see <i>Invoke model code examples</i> in the <i>Amazon Bedrock User Guide</i>.</p>
 /// <p>This operation requires permission for the <code>bedrock:InvokeModel</code> action.</p>
 /// <p>This operation requires permission for the <code>bedrock:InvokeModel</code> action.</p><important>
 /// <p>To deny all inference access to resources that you specify in the modelId field, you need to deny access to the <code>bedrock:InvokeModel</code> and <code>bedrock:InvokeModelWithResponseStream</code> actions. Doing this also denies access to the resource through the Converse API actions (<a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_Converse.html">Converse</a> and <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_ConverseStream.html">ConverseStream</a>). For more information see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/security_iam_id-based-policy-examples.html#security_iam_id-based-policy-examples-deny-inference">Deny access for inference on specific models</a>.</p>
 /// </important>
 /// <p>For troubleshooting some of the common errors you might encounter when using the <code>InvokeModel</code> API, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html">Troubleshooting Amazon Bedrock API Error Codes</a> in the Amazon Bedrock User Guide</p>
 #[derive(::std::clone::Clone, ::std::fmt::Debug)]
 pub struct InvokeModelFluentBuilder {
     handle: ::std::sync::Arc<crate::client::Handle>,
     inner: crate::operation::invoke_model::builders::InvokeModelInputBuilder,
     config_override: ::std::option::Option<crate::config::Builder>,
-36
+}
 impl
     crate::client::customize::internal::CustomizableSend<
         crate::operation::invoke_model::InvokeModelOutput,
         crate::operation::invoke_model::InvokeModelError,

↧ Expand context

     > for InvokeModelFluentBuilder
-42
+{
     fn send(
         self,
         config_override: crate::config::Builder,
     ) -> crate::client::customize::internal::BoxFuture<
         crate::client::customize::internal::SendResult<
             crate::operation::invoke_model::InvokeModelOutput,
             crate::operation::invoke_model::InvokeModelError,
         >,
     > {
         ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
-53
+    }
-54
+}
 impl InvokeModelFluentBuilder {
     /// Creates a new `InvokeModelFluentBuilder`.
     pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
         Self {
             handle,
             inner: ::std::default::Default::default(),

@@ -83,86 +221,236 @@

↥ Expand context

             .inner
             .build()
             .map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
         let runtime_plugins = crate::operation::invoke_model::InvokeModel::operation_runtime_plugins(
             self.handle.runtime_plugins.clone(),
             &self.handle.conf,
             self.config_override,
         );
         crate::operation::invoke_model::InvokeModel::orchestrate(&runtime_plugins, input).await
-95
+    }
-96
     /// Consumes this builder, creating a customizable operation that can be modified before being sent.
     pub fn customize(
         self,
     ) -> crate::client::customize::CustomizableOperation<
         crate::operation::invoke_model::InvokeModelOutput,
         crate::operation::invoke_model::InvokeModelError,
         Self,
     > {
         crate::client::customize::CustomizableOperation::new(self)

-106
+    }
     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
-110
+    }
-111
     pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
         self.config_override = config_override;
         self
-115
+    }
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub fn body(mut self, input: ::aws_smithy_types::Blob) -> Self {
         self.inner = self.inner.body(input);
         self
-120
+    }
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub fn set_body(mut self, input: ::std::option::Option<::aws_smithy_types::Blob>) -> Self {
         self.inner = self.inner.set_body(input);
         self
-125
+    }
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     /// <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub fn get_body(&self) -> &::std::option::Option<::aws_smithy_types::Blob> {
         self.inner.get_body()
-129
+    }
     /// <p>The MIME type of the input data in the request. The default value is <code>application/json</code>.</p>
     /// <p>The MIME type of the input data in the request. You must specify <code>application/json</code>.</p>
     pub fn content_type(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.inner = self.inner.content_type(input.into());
         self
-134
+    }
     /// <p>The MIME type of the input data in the request. The default value is <code>application/json</code>.</p>
     /// <p>The MIME type of the input data in the request. You must specify <code>application/json</code>.</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
-139
+    }
     /// <p>The MIME type of the input data in the request. The default value is <code>application/json</code>.</p>
     /// <p>The MIME type of the input data in the request. You must specify <code>application/json</code>.</p>
     pub fn get_content_type(&self) -> &::std::option::Option<::std::string::String> {
         self.inner.get_content_type()
-143
+    }
     /// <p>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</p>
     pub fn accept(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.inner = self.inner.accept(input.into());
         self
-148
+    }
     /// <p>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</p>
     pub fn set_accept(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.inner = self.inner.set_accept(input);
         self
-153
+    }
     /// <p>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</p>
     pub fn get_accept(&self) -> &::std::option::Option<::std::string::String> {
         self.inner.get_accept()
-157
+    }
     /// <p>The unique identifier of the model to invoke to run inference.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model that you use:</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model or throughput that you use:</p>
     /// <ul>
     /// <li>
     /// <p>If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns">Amazon Bedrock base model IDs (on-demand throughput)</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference-support.html">Supported Regions and models for cross-region inference</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prov-thru-use.html">Run inference using a Provisioned Throughput</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <p>If you use a custom model, specify the ARN of the custom model deployment (for on-demand inference) or the ARN of your provisioned model (for Provisioned Throughput). For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported model</a>, specify the ARN of the imported model. You can get the model ARN from a successful call to <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateModelImportJob.html">CreateModelImportJob</a> or from the Imported models page in the Amazon Bedrock console.</p></li>
     /// </ul>
     pub fn model_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.inner = self.inner.model_id(input.into());
         self
-175
+    }
     /// <p>The unique identifier of the model to invoke to run inference.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model that you use:</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model or throughput that you use:</p>
     /// <ul>
     /// <li>
     /// <p>If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns">Amazon Bedrock base model IDs (on-demand throughput)</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference-support.html">Supported Regions and models for cross-region inference</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prov-thru-use.html">Run inference using a Provisioned Throughput</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <p>If you use a custom model, specify the ARN of the custom model deployment (for on-demand inference) or the ARN of your provisioned model (for Provisioned Throughput). For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported model</a>, specify the ARN of the imported model. You can get the model ARN from a successful call to <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateModelImportJob.html">CreateModelImportJob</a> or from the Imported models page in the Amazon Bedrock console.</p></li>
     /// </ul>
     pub fn set_model_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.inner = self.inner.set_model_id(input);
         self
-193
+    }
     /// <p>The unique identifier of the model to invoke to run inference.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model that you use:</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model or throughput that you use:</p>
     /// <ul>
     /// <li>
     /// <p>If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns">Amazon Bedrock base model IDs (on-demand throughput)</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference-support.html">Supported Regions and models for cross-region inference</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prov-thru-use.html">Run inference using a Provisioned Throughput</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <p>If you use a custom model, specify the ARN of the custom model deployment (for on-demand inference) or the ARN of your provisioned model (for Provisioned Throughput). For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p></li>
     /// <li>
     /// <p>If you use an <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported model</a>, specify the ARN of the imported model. You can get the model ARN from a successful call to <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateModelImportJob.html">CreateModelImportJob</a> or from the Imported models page in the Amazon Bedrock console.</p></li>
     /// </ul>
     pub fn get_model_id(&self) -> &::std::option::Option<::std::string::String> {
         self.inner.get_model_id()
-210
+    }
     /// <p>Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.</p>
     pub fn trace(mut self, input: crate::types::Trace) -> Self {
         self.inner = self.inner.trace(input);
         self
-215
+    }
     /// <p>Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.</p>

↧ Expand context

     pub fn set_trace(mut self, input: ::std::option::Option<crate::types::Trace>) -> Self {
         self.inner = self.inner.set_trace(input);
         self
-220
+    }
     /// <p>Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.</p>
     pub fn get_trace(&self) -> &::std::option::Option<crate::types::Trace> {
         self.inner.get_trace()
-224
+    }
     /// <p>The unique identifier of the guardrail that you want to use. If you don't provide a value, no guardrail is applied to the invocation.</p>
     /// <p>An error will be thrown in the following situations.</p>
     /// <ul>
     /// <li>
     /// <p>You don't provide a guardrail identifier but you specify the <code>amazon-bedrock-guardrailConfig</code> field in the request body.</p></li>
     /// <li>
     /// <p>You enable the guardrail but the <code>contentType</code> isn't <code>application/json</code>.</p></li>
     /// <li>
     /// <p>You provide a guardrail identifier, but <code>guardrailVersion</code> isn't specified.</p></li>
     /// </ul>
     pub fn guardrail_identifier(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.inner = self.inner.guardrail_identifier(input.into());

@@ -235,250 +265,294 @@

↥ Expand context

         self.inner = self.inner.set_guardrail_identifier(input);
         self
-252
+    }
     /// <p>The unique identifier of the guardrail that you want to use. If you don't provide a value, no guardrail is applied to the invocation.</p>
     /// <p>An error will be thrown in the following situations.</p>
     /// <ul>
     /// <li>
     /// <p>You don't provide a guardrail identifier but you specify the <code>amazon-bedrock-guardrailConfig</code> field in the request body.</p></li>
     /// <li>
     /// <p>You enable the guardrail but the <code>contentType</code> isn't <code>application/json</code>.</p></li>
     /// <li>
     /// <p>You provide a guardrail identifier, but <code>guardrailVersion</code> isn't specified.</p></li>
     /// </ul>
     pub fn get_guardrail_identifier(&self) -> &::std::option::Option<::std::string::String> {
         self.inner.get_guardrail_identifier()
-265
+    }
     /// <p>The version number for the guardrail. The value can also be <code>DRAFT</code>.</p>
     pub fn guardrail_version(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.inner = self.inner.guardrail_version(input.into());
         self

-270
+    }
     /// <p>The version number for the guardrail. The value can also be <code>DRAFT</code>.</p>
     pub fn set_guardrail_version(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.inner = self.inner.set_guardrail_version(input);
         self
-275
+    }
     /// <p>The version number for the guardrail. The value can also be <code>DRAFT</code>.</p>
     pub fn get_guardrail_version(&self) -> &::std::option::Option<::std::string::String> {
         self.inner.get_guardrail_version()
-279
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn performance_config_latency(mut self, input: crate::types::PerformanceConfigLatency) -> Self {
         self.inner = self.inner.performance_config_latency(input);
         self
-+
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn set_performance_config_latency(mut self, input: ::std::option::Option<crate::types::PerformanceConfigLatency>) -> Self {
         self.inner = self.inner.set_performance_config_latency(input);
         self
-+
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn get_performance_config_latency(&self) -> &::std::option::Option<crate::types::PerformanceConfigLatency> {
         self.inner.get_performance_config_latency()
-+
+    }
-294
+}

tmp-codegen-diff/aws-sdk/sdk/bedrockruntime/src/operation/invoke_model_with_bidirectional_stream.rs

@@ -0,1 +0,509 @@

 // Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
 /// Orchestration and serialization glue logic for `InvokeModelWithBidirectionalStream`.
 #[derive(::std::clone::Clone, ::std::default::Default, ::std::fmt::Debug)]
 #[non_exhaustive]
 pub struct InvokeModelWithBidirectionalStream;
 impl InvokeModelWithBidirectionalStream {
     /// Creates a new `InvokeModelWithBidirectionalStream`
     pub fn new() -> Self {
         Self
-+
+    }
     pub(crate) async fn orchestrate(
         runtime_plugins: &::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugins,
         input: crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamInput,
     ) -> ::std::result::Result<
         crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamOutput,
         ::aws_smithy_runtime_api::client::result::SdkError<
             crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamError,
             ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
         >,
     > {
         let map_err = |err: ::aws_smithy_runtime_api::client::result::SdkError<
             ::aws_smithy_runtime_api::client::interceptors::context::Error,
             ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
         >| {
             err.map_service_error(|err| {
                 err.downcast::<crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamError>()
                     .expect("correct error type")
             })
         };
         let context = Self::orchestrate_with_stop_point(runtime_plugins, input, ::aws_smithy_runtime::client::orchestrator::StopPoint::None)
             .await
             .map_err(map_err)?;
         let output = context.finalize().map_err(map_err)?;
         ::std::result::Result::Ok(
             output
                 .downcast::<crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamOutput>()
                 .expect("correct output type"),
-+
+        )
-+
+    }
-+
     pub(crate) async fn orchestrate_with_stop_point(
         runtime_plugins: &::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugins,
         input: crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamInput,
         stop_point: ::aws_smithy_runtime::client::orchestrator::StopPoint,
     ) -> ::std::result::Result<
         ::aws_smithy_runtime_api::client::interceptors::context::InterceptorContext,
         ::aws_smithy_runtime_api::client::result::SdkError<
             ::aws_smithy_runtime_api::client::interceptors::context::Error,
             ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
         >,
     > {
         let input = ::aws_smithy_runtime_api::client::interceptors::context::Input::erase(input);
         use ::tracing::Instrument;
         ::aws_smithy_runtime::client::orchestrator::invoke_with_stop_point(
             "Bedrock Runtime",
             "InvokeModelWithBidirectionalStream",
             input,
             runtime_plugins,
             stop_point,
-+
+        )
         // Create a parent span for the entire operation. Includes a random, internal-only,
         // seven-digit ID for the operation orchestration so that it can be correlated in the logs.
         .instrument(::tracing::debug_span!(
             "Bedrock Runtime.InvokeModelWithBidirectionalStream",
             "rpc.service" = "Bedrock Runtime",
             "rpc.method" = "InvokeModelWithBidirectionalStream",
             "sdk_invocation_id" = ::fastrand::u32(1_000_000..10_000_000),
             "rpc.system" = "aws-api",
         ))
         .await
-+
+    }
-+
     pub(crate) fn operation_runtime_plugins(
         client_runtime_plugins: ::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugins,
         client_config: &crate::config::Config,
         config_override: ::std::option::Option<crate::config::Builder>,
     ) -> ::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugins {
         let mut runtime_plugins = client_runtime_plugins.with_operation_plugin(Self::new());
-+
         if let ::std::option::Option::Some(config_override) = config_override {
             for plugin in config_override.runtime_plugins.iter().cloned() {
                 runtime_plugins = runtime_plugins.with_operation_plugin(plugin);
-+
+            }
             runtime_plugins = runtime_plugins.with_operation_plugin(crate::config::ConfigOverrideRuntimePlugin::new(
                 config_override,
                 client_config.config.clone(),
                 &client_config.runtime_components,
             ));
-+
+        }
         runtime_plugins
-+
+    }
-+
+}
 impl ::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugin for InvokeModelWithBidirectionalStream {
     fn config(&self) -> ::std::option::Option<::aws_smithy_types::config_bag::FrozenLayer> {
         let mut cfg = ::aws_smithy_types::config_bag::Layer::new("InvokeModelWithBidirectionalStream");
-+
         cfg.store_put(::aws_smithy_runtime_api::client::ser_de::SharedRequestSerializer::new(
             InvokeModelWithBidirectionalStreamRequestSerializer,
         ));
         cfg.store_put(::aws_smithy_runtime_api::client::ser_de::SharedResponseDeserializer::new(
             InvokeModelWithBidirectionalStreamResponseDeserializer,
         ));
-+
         cfg.store_put(::aws_smithy_runtime_api::client::auth::AuthSchemeOptionResolverParams::new(
             crate::config::auth::Params::builder()
                 .operation_name("InvokeModelWithBidirectionalStream")
                 .build()
                 .expect("required fields set"),
         ));
-+
         cfg.store_put(::aws_smithy_runtime_api::client::orchestrator::SensitiveOutput);
         cfg.store_put(::aws_smithy_runtime_api::client::orchestrator::Metadata::new(
             "InvokeModelWithBidirectionalStream",
             "Bedrock Runtime",
         ));
         let mut signing_options = ::aws_runtime::auth::SigningOptions::default();
         signing_options.double_uri_encode = true;
         signing_options.content_sha256_header = false;
         signing_options.normalize_uri_path = true;
         signing_options.payload_override = Some(::aws_sigv4::http_request::SignableBody::Bytes(&[]));
-+
         cfg.store_put(::aws_runtime::auth::SigV4OperationSigningConfig {
             signing_options,
             ..::std::default::Default::default()
         });
-+
         ::std::option::Option::Some(cfg.freeze())
-+
+    }
-+
     fn runtime_components(
         &self,
         _: &::aws_smithy_runtime_api::client::runtime_components::RuntimeComponentsBuilder,
     ) -> ::std::borrow::Cow<'_, ::aws_smithy_runtime_api::client::runtime_components::RuntimeComponentsBuilder> {
         #[allow(unused_mut)]
         let mut rcb = ::aws_smithy_runtime_api::client::runtime_components::RuntimeComponentsBuilder::new("InvokeModelWithBidirectionalStream")
             .with_interceptor(InvokeModelWithBidirectionalStreamEndpointParamsInterceptor)
             .with_retry_classifier(::aws_smithy_runtime::client::retries::classifiers::TransientErrorClassifier::<
                 crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamError,
             >::new())
             .with_retry_classifier(::aws_smithy_runtime::client::retries::classifiers::ModeledAsRetryableClassifier::<
                 crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamError,
             >::new())
             .with_retry_classifier(::aws_runtime::retries::classifiers::AwsErrorCodeClassifier::<
                 crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamError,
             >::new());
-+
         ::std::borrow::Cow::Owned(rcb)
-+
+    }
-+
+}
-+
 #[derive(Debug)]
 struct InvokeModelWithBidirectionalStreamResponseDeserializer;
 impl ::aws_smithy_runtime_api::client::ser_de::DeserializeResponse for InvokeModelWithBidirectionalStreamResponseDeserializer {
     fn deserialize_streaming(
         &self,
         response: &mut ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
     ) -> ::std::option::Option<::aws_smithy_runtime_api::client::interceptors::context::OutputOrError> {
         #[allow(unused_mut)]
         let mut force_error = false;
         ::tracing::debug!(request_id = ?::aws_types::request_id::RequestId::request_id(response));
-+
         // If this is an error, defer to the non-streaming parser
         if (!response.status().is_success() && response.status().as_u16() != 200) || force_error {
             return ::std::option::Option::None;
-+
+        }
         ::std::option::Option::Some(crate::protocol_serde::type_erase_result(
             crate::protocol_serde::shape_invoke_model_with_bidirectional_stream::de_invoke_model_with_bidirectional_stream_http_response(response),
         ))
-+
+    }
-+
     fn deserialize_nonstreaming(
         &self,
         response: &::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
     ) -> ::aws_smithy_runtime_api::client::interceptors::context::OutputOrError {
         // For streaming operations, we only hit this case if its an error
         let body = response.body().bytes().expect("body loaded");
         crate::protocol_serde::type_erase_result(
             crate::protocol_serde::shape_invoke_model_with_bidirectional_stream::de_invoke_model_with_bidirectional_stream_http_error(
                 response.status().as_u16(),
                 response.headers(),
                 body,
             ),
-+
+        )
-+
+    }
-+
+}
 #[derive(Debug)]
 struct InvokeModelWithBidirectionalStreamRequestSerializer;
 impl ::aws_smithy_runtime_api::client::ser_de::SerializeRequest for InvokeModelWithBidirectionalStreamRequestSerializer {
     #[allow(unused_mut, clippy::let_and_return, clippy::needless_borrow, clippy::useless_conversion)]
     fn serialize_input(
         &self,
         input: ::aws_smithy_runtime_api::client::interceptors::context::Input,
         _cfg: &mut ::aws_smithy_types::config_bag::ConfigBag,
     ) -> ::std::result::Result<::aws_smithy_runtime_api::client::orchestrator::HttpRequest, ::aws_smithy_runtime_api::box_error::BoxError> {
         let input = input
             .downcast::<crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamInput>()
             .expect("correct type");
         let _header_serialization_settings = _cfg
             .load::<crate::serialization_settings::HeaderSerializationSettings>()
             .cloned()
             .unwrap_or_default();
         let mut request_builder = {
             fn uri_base(
                 _input: &crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamInput,
                 output: &mut ::std::string::String,
             ) -> ::std::result::Result<(), ::aws_smithy_types::error::operation::BuildError> {
                 use ::std::fmt::Write as _;
                 let input_1 = &_input.model_id;
                 let input_1 = input_1
                     .as_ref()
                     .ok_or_else(|| ::aws_smithy_types::error::operation::BuildError::missing_field("model_id", "cannot be empty or unset"))?;
                 let model_id = ::aws_smithy_http::label::fmt_string(input_1, ::aws_smithy_http::label::EncodingStrategy::Default);
                 if model_id.is_empty() {
                     return ::std::result::Result::Err(::aws_smithy_types::error::operation::BuildError::missing_field(
                         "model_id",
                         "cannot be empty or unset",
                     ));
-+
+                }
                 ::std::write!(output, "/model/{modelId}/invoke-with-bidirectional-stream", modelId = model_id).expect("formatting should succeed");
                 ::std::result::Result::Ok(())
-+
+            }
             #[allow(clippy::unnecessary_wraps)]
             fn update_http_builder(
                 input: &crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamInput,
                 builder: ::http::request::Builder,
             ) -> ::std::result::Result<::http::request::Builder, ::aws_smithy_types::error::operation::BuildError> {
                 let mut uri = ::std::string::String::new();
                 uri_base(input, &mut uri)?;
                 ::std::result::Result::Ok(builder.method("POST").uri(uri))
-+
+            }
             let mut builder = update_http_builder(&input, ::http::request::Builder::new())?;
             builder = _header_serialization_settings.set_default_header(builder, ::http::header::CONTENT_TYPE, "application/vnd.amazon.eventstream");
             builder
         };
         let body = ::aws_smithy_types::body::SdkBody::from({
             let error_marshaller = crate::event_stream_serde::InvokeModelWithBidirectionalStreamInputErrorMarshaller::new();
             let marshaller = crate::event_stream_serde::InvokeModelWithBidirectionalStreamInputMarshaller::new();
             let (signer, signer_sender) = ::aws_smithy_eventstream::frame::DeferredSigner::new();
             _cfg.interceptor_state().store_put(signer_sender);
             ::aws_smithy_types::body::SdkBody::from_body_0_4(::hyper::Body::wrap_stream(input.body.into_body_stream(
                 marshaller,
                 error_marshaller,
                 signer,
             )))
         });
         if let Some(content_length) = body.content_length() {
             let content_length = content_length.to_string();
             request_builder = _header_serialization_settings.set_default_header(request_builder, ::http::header::CONTENT_LENGTH, &content_length);
-+
+        }
         ::std::result::Result::Ok(request_builder.body(body).expect("valid request").try_into().unwrap())
-+
+    }
-+
+}
 #[derive(Debug)]
 struct InvokeModelWithBidirectionalStreamEndpointParamsInterceptor;
-+
 impl ::aws_smithy_runtime_api::client::interceptors::Intercept for InvokeModelWithBidirectionalStreamEndpointParamsInterceptor {
     fn name(&self) -> &'static str {
         "InvokeModelWithBidirectionalStreamEndpointParamsInterceptor"
-+
+    }
-+
     fn read_before_execution(
         &self,
         context: &::aws_smithy_runtime_api::client::interceptors::context::BeforeSerializationInterceptorContextRef<
             '_,
             ::aws_smithy_runtime_api::client::interceptors::context::Input,
             ::aws_smithy_runtime_api::client::interceptors::context::Output,
             ::aws_smithy_runtime_api::client::interceptors::context::Error,
         >,
         cfg: &mut ::aws_smithy_types::config_bag::ConfigBag,
     ) -> ::std::result::Result<(), ::aws_smithy_runtime_api::box_error::BoxError> {
         let _input = context
             .input()
             .downcast_ref::<InvokeModelWithBidirectionalStreamInput>()
             .ok_or("failed to downcast to InvokeModelWithBidirectionalStreamInput")?;
-+
         let params = crate::config::endpoint::Params::builder()
             .set_region(cfg.load::<::aws_types::region::Region>().map(|r| r.as_ref().to_owned()))
             .set_use_dual_stack(cfg.load::<::aws_types::endpoint_config::UseDualStack>().map(|ty| ty.0))
             .set_use_fips(cfg.load::<::aws_types::endpoint_config::UseFips>().map(|ty| ty.0))
             .set_endpoint(cfg.load::<::aws_types::endpoint_config::EndpointUrl>().map(|ty| ty.0.clone()))
             .build()
             .map_err(|err| {
                 ::aws_smithy_runtime_api::client::interceptors::error::ContextAttachedError::new("endpoint params could not be built", err)
             })?;
         cfg.interceptor_state()
             .store_put(::aws_smithy_runtime_api::client::endpoint::EndpointResolverParams::new(params));
         ::std::result::Result::Ok(())
-+
+    }
-+
+}
-+
 // The get_* functions below are generated from JMESPath expressions in the
 // operationContextParams trait. They target the operation's input shape.
-+
 /// Error type for the `InvokeModelWithBidirectionalStreamError` operation.
 #[non_exhaustive]
 #[derive(::std::fmt::Debug)]
 pub enum InvokeModelWithBidirectionalStreamError {
     /// <p>The request took too long to process. Processing time exceeded the model timeout length.</p>
     ModelTimeoutException(crate::types::error::ModelTimeoutException),
     /// <p>The request is denied because you do not have sufficient permissions to perform the requested action. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-access-denied">AccessDeniedException</a> in the Amazon Bedrock User Guide</p>
     AccessDeniedException(crate::types::error::AccessDeniedException),
     /// <p>The specified resource ARN was not found. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-resource-not-found">ResourceNotFound</a> in the Amazon Bedrock User Guide</p>
     ResourceNotFoundException(crate::types::error::ResourceNotFoundException),
     /// <p>Your request was denied due to exceeding the account quotas for <i>Amazon Bedrock</i>. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-throttling-exception">ThrottlingException</a> in the Amazon Bedrock User Guide</p>
     ThrottlingException(crate::types::error::ThrottlingException),
     /// <p>The service isn't currently available. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-service-unavailable">ServiceUnavailable</a> in the Amazon Bedrock User Guide</p>
     ServiceUnavailableException(crate::types::error::ServiceUnavailableException),
     /// <p>An internal server error occurred. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-internal-failure">InternalFailure</a> in the Amazon Bedrock User Guide</p>
     InternalServerException(crate::types::error::InternalServerException),
     /// <p>An error occurred while streaming the response. Retry your request.</p>
     ModelStreamErrorException(crate::types::error::ModelStreamErrorException),
     /// <p>The input fails to satisfy the constraints specified by <i>Amazon Bedrock</i>. For troubleshooting this error, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.html#ts-validation-error">ValidationError</a> in the Amazon Bedrock User Guide</p>
     ValidationException(crate::types::error::ValidationException),
     /// <p>The model specified in the request is not ready to serve inference requests. The AWS SDK will automatically retry the operation up to 5 times. For information about configuring automatic retries, see <a href="https://docs.aws.amazon.com/sdkref/latest/guide/feature-retry-behavior.html">Retry behavior</a> in the <i>AWS SDKs and Tools</i> reference guide.</p>
     ModelNotReadyException(crate::types::error::ModelNotReadyException),
     /// <p>The request failed due to an error while processing the model.</p>
     ModelErrorException(crate::types::error::ModelErrorException),
     /// <p>Your request exceeds the service quota for your account. You can view your quotas at <a href="https://docs.aws.amazon.com/servicequotas/latest/userguide/gs-request-quota.html">Viewing service quotas</a>. You can resubmit your request later.</p>
     ServiceQuotaExceededException(crate::types::error::ServiceQuotaExceededException),
     /// An unexpected error occurred (e.g., invalid JSON returned by the service or an unknown error code).
     #[deprecated(note = "Matching `Unhandled` directly is not forwards compatible. Instead, match using a \
     variable wildcard pattern and check `.code()`:
-+
+     \
     &nbsp;&nbsp;&nbsp;`err if err.code() == Some(\"SpecificExceptionCode\") => { /* handle the error */ }`
-+
+     \
     See [`ProvideErrorMetadata`](#impl-ProvideErrorMetadata-for-InvokeModelWithBidirectionalStreamError) for what information is available for the error.")]
     Unhandled(crate::error::sealed_unhandled::Unhandled),
-+
+}
 impl InvokeModelWithBidirectionalStreamError {
     /// Creates the `InvokeModelWithBidirectionalStreamError::Unhandled` variant from any error type.
     pub fn unhandled(
         err: impl ::std::convert::Into<::std::boxed::Box<dyn ::std::error::Error + ::std::marker::Send + ::std::marker::Sync + 'static>>,
     ) -> Self {
         Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
             source: err.into(),
             meta: ::std::default::Default::default(),
         })
-+
+    }
-+
     /// Creates the `InvokeModelWithBidirectionalStreamError::Unhandled` variant from an [`ErrorMetadata`](::aws_smithy_types::error::ErrorMetadata).
     pub fn generic(err: ::aws_smithy_types::error::ErrorMetadata) -> Self {
         Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
             source: err.clone().into(),
             meta: err,
         })
-+
+    }
     ///
     /// Returns error metadata, which includes the error code, message,
     /// request ID, and potentially additional information.
     ///
     pub fn meta(&self) -> &::aws_smithy_types::error::ErrorMetadata {
         match self {
             Self::ModelTimeoutException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::AccessDeniedException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ResourceNotFoundException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ThrottlingException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ServiceUnavailableException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::InternalServerException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ModelStreamErrorException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ValidationException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ModelNotReadyException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ModelErrorException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::ServiceQuotaExceededException(e) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(e),
             Self::Unhandled(e) => &e.meta,
-+
+        }
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::ModelTimeoutException`.
     pub fn is_model_timeout_exception(&self) -> bool {
         matches!(self, Self::ModelTimeoutException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::AccessDeniedException`.
     pub fn is_access_denied_exception(&self) -> bool {
         matches!(self, Self::AccessDeniedException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::ResourceNotFoundException`.
     pub fn is_resource_not_found_exception(&self) -> bool {
         matches!(self, Self::ResourceNotFoundException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::ThrottlingException`.
     pub fn is_throttling_exception(&self) -> bool {
         matches!(self, Self::ThrottlingException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::ServiceUnavailableException`.
     pub fn is_service_unavailable_exception(&self) -> bool {
         matches!(self, Self::ServiceUnavailableException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::InternalServerException`.
     pub fn is_internal_server_exception(&self) -> bool {
         matches!(self, Self::InternalServerException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::ModelStreamErrorException`.
     pub fn is_model_stream_error_exception(&self) -> bool {
         matches!(self, Self::ModelStreamErrorException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::ValidationException`.
     pub fn is_validation_exception(&self) -> bool {
         matches!(self, Self::ValidationException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::ModelNotReadyException`.
     pub fn is_model_not_ready_exception(&self) -> bool {
         matches!(self, Self::ModelNotReadyException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::ModelErrorException`.
     pub fn is_model_error_exception(&self) -> bool {
         matches!(self, Self::ModelErrorException(_))
-+
+    }
     /// Returns `true` if the error kind is `InvokeModelWithBidirectionalStreamError::ServiceQuotaExceededException`.
     pub fn is_service_quota_exceeded_exception(&self) -> bool {
         matches!(self, Self::ServiceQuotaExceededException(_))
-+
+    }
-+
+}
 impl ::std::error::Error for InvokeModelWithBidirectionalStreamError {
     fn source(&self) -> ::std::option::Option<&(dyn ::std::error::Error + 'static)> {
         match self {
             Self::ModelTimeoutException(_inner) => ::std::option::Option::Some(_inner),
             Self::AccessDeniedException(_inner) => ::std::option::Option::Some(_inner),
             Self::ResourceNotFoundException(_inner) => ::std::option::Option::Some(_inner),
             Self::ThrottlingException(_inner) => ::std::option::Option::Some(_inner),
             Self::ServiceUnavailableException(_inner) => ::std::option::Option::Some(_inner),
             Self::InternalServerException(_inner) => ::std::option::Option::Some(_inner),
             Self::ModelStreamErrorException(_inner) => ::std::option::Option::Some(_inner),
             Self::ValidationException(_inner) => ::std::option::Option::Some(_inner),
             Self::ModelNotReadyException(_inner) => ::std::option::Option::Some(_inner),
             Self::ModelErrorException(_inner) => ::std::option::Option::Some(_inner),
             Self::ServiceQuotaExceededException(_inner) => ::std::option::Option::Some(_inner),
             Self::Unhandled(_inner) => ::std::option::Option::Some(&*_inner.source),
-+
+        }
-+
+    }
-+
+}
 impl ::std::fmt::Display for InvokeModelWithBidirectionalStreamError {
     fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
         match self {
             Self::ModelTimeoutException(_inner) => _inner.fmt(f),
             Self::AccessDeniedException(_inner) => _inner.fmt(f),
             Self::ResourceNotFoundException(_inner) => _inner.fmt(f),
             Self::ThrottlingException(_inner) => _inner.fmt(f),
             Self::ServiceUnavailableException(_inner) => _inner.fmt(f),
             Self::InternalServerException(_inner) => _inner.fmt(f),
             Self::ModelStreamErrorException(_inner) => _inner.fmt(f),
             Self::ValidationException(_inner) => _inner.fmt(f),
             Self::ModelNotReadyException(_inner) => _inner.fmt(f),
             Self::ModelErrorException(_inner) => _inner.fmt(f),
             Self::ServiceQuotaExceededException(_inner) => _inner.fmt(f),
             Self::Unhandled(_inner) => {
                 if let ::std::option::Option::Some(code) = ::aws_smithy_types::error::metadata::ProvideErrorMetadata::code(self) {
                     write!(f, "unhandled error ({code})")
                 } else {
                     f.write_str("unhandled error")
-+
+                }
-+
+            }
-+
+        }
-+
+    }
-+
+}
 impl ::aws_smithy_types::retry::ProvideErrorKind for InvokeModelWithBidirectionalStreamError {
     fn code(&self) -> ::std::option::Option<&str> {
         ::aws_smithy_types::error::metadata::ProvideErrorMetadata::code(self)
-+
+    }
     fn retryable_error_kind(&self) -> ::std::option::Option<::aws_smithy_types::retry::ErrorKind> {
         match self {
             Self::ModelNotReadyException(inner) => ::std::option::Option::Some(inner.retryable_error_kind()),
             _ => ::std::option::Option::None,
-+
+        }
-+
+    }
-+
+}
 impl ::aws_smithy_types::error::metadata::ProvideErrorMetadata for InvokeModelWithBidirectionalStreamError {
     fn meta(&self) -> &::aws_smithy_types::error::ErrorMetadata {
         match self {
             Self::ModelTimeoutException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::AccessDeniedException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ResourceNotFoundException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ThrottlingException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ServiceUnavailableException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::InternalServerException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ModelStreamErrorException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ValidationException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ModelNotReadyException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ModelErrorException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::ServiceQuotaExceededException(_inner) => ::aws_smithy_types::error::metadata::ProvideErrorMetadata::meta(_inner),
             Self::Unhandled(_inner) => &_inner.meta,
-+
+        }
-+
+    }
-+
+}
 impl ::aws_smithy_runtime_api::client::result::CreateUnhandledError for InvokeModelWithBidirectionalStreamError {
     fn create_unhandled_error(
         source: ::std::boxed::Box<dyn ::std::error::Error + ::std::marker::Send + ::std::marker::Sync + 'static>,
         meta: ::std::option::Option<::aws_smithy_types::error::ErrorMetadata>,
     ) -> Self {
         Self::Unhandled(crate::error::sealed_unhandled::Unhandled {
             source,
             meta: meta.unwrap_or_default(),
         })
-+
+    }
-+
+}
 impl ::aws_types::request_id::RequestId for crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamError {
     fn request_id(&self) -> Option<&str> {
         self.meta().request_id()
-+
+    }
-+
+}
-+
 pub use crate::operation::invoke_model_with_bidirectional_stream::_invoke_model_with_bidirectional_stream_output::InvokeModelWithBidirectionalStreamOutput;
-+
 pub use crate::operation::invoke_model_with_bidirectional_stream::_invoke_model_with_bidirectional_stream_input::InvokeModelWithBidirectionalStreamInput;
-+
 mod _invoke_model_with_bidirectional_stream_input;
-+
 mod _invoke_model_with_bidirectional_stream_output;
-+
 /// Builders
 pub mod builders;

tmp-codegen-diff/aws-sdk/sdk/bedrockruntime/src/operation/invoke_model_with_bidirectional_stream/_invoke_model_with_bidirectional_stream_input.rs

@@ -0,1 +0,121 @@

 // Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
 #[allow(missing_docs)] // documentation missing in model
 #[non_exhaustive]
 #[derive(::std::fmt::Debug)]
 pub struct InvokeModelWithBidirectionalStreamInput {
     /// <p>The model ID or ARN of the model ID to use. Currently, only <code>amazon.nova-sonic-v1:0</code> is supported.</p>
     pub model_id: ::std::option::Option<::std::string::String>,
     /// <p>The prompt and inference parameters in the format specified in the <code>BidirectionalInputPayloadPart</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub body: ::aws_smithy_http::event_stream::EventStreamSender<
         crate::types::InvokeModelWithBidirectionalStreamInput,
         crate::types::error::InvokeModelWithBidirectionalStreamInputError,
     >,
-+
+}
 impl InvokeModelWithBidirectionalStreamInput {
     /// <p>The model ID or ARN of the model ID to use. Currently, only <code>amazon.nova-sonic-v1:0</code> is supported.</p>
     pub fn model_id(&self) -> ::std::option::Option<&str> {
         self.model_id.as_deref()
-+
+    }
     /// <p>The prompt and inference parameters in the format specified in the <code>BidirectionalInputPayloadPart</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub fn body(
         &self,
     ) -> &::aws_smithy_http::event_stream::EventStreamSender<
         crate::types::InvokeModelWithBidirectionalStreamInput,
         crate::types::error::InvokeModelWithBidirectionalStreamInputError,
     > {
         &self.body
-+
+    }
-+
+}
 impl InvokeModelWithBidirectionalStreamInput {
     /// Creates a new builder-style object to manufacture [`InvokeModelWithBidirectionalStreamInput`](crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamInput).
     pub fn builder() -> crate::operation::invoke_model_with_bidirectional_stream::builders::InvokeModelWithBidirectionalStreamInputBuilder {
         crate::operation::invoke_model_with_bidirectional_stream::builders::InvokeModelWithBidirectionalStreamInputBuilder::default()
-+
+    }
-+
+}
-+
 /// A builder for [`InvokeModelWithBidirectionalStreamInput`](crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamInput).
 #[derive(::std::default::Default, ::std::fmt::Debug)]
 #[non_exhaustive]
 pub struct InvokeModelWithBidirectionalStreamInputBuilder {
     pub(crate) model_id: ::std::option::Option<::std::string::String>,
     pub(crate) body: ::std::option::Option<
         ::aws_smithy_http::event_stream::EventStreamSender<
             crate::types::InvokeModelWithBidirectionalStreamInput,
             crate::types::error::InvokeModelWithBidirectionalStreamInputError,
         >,
     >,
-+
+}
 impl InvokeModelWithBidirectionalStreamInputBuilder {
     /// <p>The model ID or ARN of the model ID to use. Currently, only <code>amazon.nova-sonic-v1:0</code> is supported.</p>
     /// This field is required.
     pub fn model_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.model_id = ::std::option::Option::Some(input.into());
         self
-+
+    }
     /// <p>The model ID or ARN of the model ID to use. Currently, only <code>amazon.nova-sonic-v1:0</code> is supported.</p>
     pub fn set_model_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.model_id = input;
         self
-+
+    }
     /// <p>The model ID or ARN of the model ID to use. Currently, only <code>amazon.nova-sonic-v1:0</code> is supported.</p>
     pub fn get_model_id(&self) -> &::std::option::Option<::std::string::String> {
         &self.model_id
-+
+    }
     /// <p>The prompt and inference parameters in the format specified in the <code>BidirectionalInputPayloadPart</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     /// This field is required.
     pub fn body(
         mut self,
         input: ::aws_smithy_http::event_stream::EventStreamSender<
             crate::types::InvokeModelWithBidirectionalStreamInput,
             crate::types::error::InvokeModelWithBidirectionalStreamInputError,
         >,
     ) -> Self {
         self.body = ::std::option::Option::Some(input);
         self
-+
+    }
     /// <p>The prompt and inference parameters in the format specified in the <code>BidirectionalInputPayloadPart</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub fn set_body(
         mut self,
         input: ::std::option::Option<
             ::aws_smithy_http::event_stream::EventStreamSender<
                 crate::types::InvokeModelWithBidirectionalStreamInput,
                 crate::types::error::InvokeModelWithBidirectionalStreamInputError,
             >,
         >,
     ) -> Self {
         self.body = input;
         self
-+
+    }
     /// <p>The prompt and inference parameters in the format specified in the <code>BidirectionalInputPayloadPart</code> in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
     pub fn get_body(
         &self,
     ) -> &::std::option::Option<
         ::aws_smithy_http::event_stream::EventStreamSender<
             crate::types::InvokeModelWithBidirectionalStreamInput,
             crate::types::error::InvokeModelWithBidirectionalStreamInputError,
         >,
     > {
         &self.body
-+
+    }
     /// Consumes the builder and constructs a [`InvokeModelWithBidirectionalStreamInput`](crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamInput).
     /// This method will fail if any of the following fields are not set:
     /// - [`body`](crate::operation::invoke_model_with_bidirectional_stream::builders::InvokeModelWithBidirectionalStreamInputBuilder::body)
     pub fn build(
         self,
     ) -> ::std::result::Result<
         crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamInput,
         ::aws_smithy_types::error::operation::BuildError,
     > {
         ::std::result::Result::Ok(
             crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamInput {
                 model_id: self.model_id,
                 body: self.body.ok_or_else(|| {
                     ::aws_smithy_types::error::operation::BuildError::missing_field(
                         "body",
                         "body was not specified but it is required when building InvokeModelWithBidirectionalStreamInput",
-+
+                    )
                 })?,
             },
-+
+        )
-+
+    }
-+
+}

tmp-codegen-diff/aws-sdk/sdk/bedrockruntime/src/operation/invoke_model_with_bidirectional_stream/_invoke_model_with_bidirectional_stream_output.rs

@@ -0,1 +0,115 @@

 // Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
 #[allow(missing_docs)] // documentation missing in model
 #[non_exhaustive]
 #[derive(::std::fmt::Debug)]
 pub struct InvokeModelWithBidirectionalStreamOutput {
     /// <p>Streaming response from the model in the format specified by the <code>BidirectionalOutputPayloadPart</code> header.</p>
     pub body: crate::event_receiver::EventReceiver<
         crate::types::InvokeModelWithBidirectionalStreamOutput,
         crate::types::error::InvokeModelWithBidirectionalStreamOutputError,
     >,
     _request_id: Option<String>,
-+
+}
 impl InvokeModelWithBidirectionalStreamOutput {
     /// <p>Streaming response from the model in the format specified by the <code>BidirectionalOutputPayloadPart</code> header.</p>
     pub fn body(
         &self,
     ) -> &crate::event_receiver::EventReceiver<
         crate::types::InvokeModelWithBidirectionalStreamOutput,
         crate::types::error::InvokeModelWithBidirectionalStreamOutputError,
     > {
         &self.body
-+
+    }
-+
+}
 impl ::aws_types::request_id::RequestId for InvokeModelWithBidirectionalStreamOutput {
     fn request_id(&self) -> Option<&str> {
         self._request_id.as_deref()
-+
+    }
-+
+}
 impl InvokeModelWithBidirectionalStreamOutput {
     /// Creates a new builder-style object to manufacture [`InvokeModelWithBidirectionalStreamOutput`](crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamOutput).
     pub fn builder() -> crate::operation::invoke_model_with_bidirectional_stream::builders::InvokeModelWithBidirectionalStreamOutputBuilder {
         crate::operation::invoke_model_with_bidirectional_stream::builders::InvokeModelWithBidirectionalStreamOutputBuilder::default()
-+
+    }
-+
+}
-+
 /// A builder for [`InvokeModelWithBidirectionalStreamOutput`](crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamOutput).
 #[derive(::std::default::Default, ::std::fmt::Debug)]
 #[non_exhaustive]
 pub struct InvokeModelWithBidirectionalStreamOutputBuilder {
     pub(crate) body: ::std::option::Option<
         crate::event_receiver::EventReceiver<
             crate::types::InvokeModelWithBidirectionalStreamOutput,
             crate::types::error::InvokeModelWithBidirectionalStreamOutputError,
         >,
     >,
     _request_id: Option<String>,
-+
+}
 impl InvokeModelWithBidirectionalStreamOutputBuilder {
     /// <p>Streaming response from the model in the format specified by the <code>BidirectionalOutputPayloadPart</code> header.</p>
     /// This field is required.
     pub fn body(
         mut self,
         input: crate::event_receiver::EventReceiver<
             crate::types::InvokeModelWithBidirectionalStreamOutput,
             crate::types::error::InvokeModelWithBidirectionalStreamOutputError,
         >,
     ) -> Self {
         self.body = ::std::option::Option::Some(input);
         self
-+
+    }
     /// <p>Streaming response from the model in the format specified by the <code>BidirectionalOutputPayloadPart</code> header.</p>
     pub fn set_body(
         mut self,
         input: ::std::option::Option<
             crate::event_receiver::EventReceiver<
                 crate::types::InvokeModelWithBidirectionalStreamOutput,
                 crate::types::error::InvokeModelWithBidirectionalStreamOutputError,
             >,
         >,
     ) -> Self {
         self.body = input;
         self
-+
+    }
     /// <p>Streaming response from the model in the format specified by the <code>BidirectionalOutputPayloadPart</code> header.</p>
     pub fn get_body(
         &self,
     ) -> &::std::option::Option<
         crate::event_receiver::EventReceiver<
             crate::types::InvokeModelWithBidirectionalStreamOutput,
             crate::types::error::InvokeModelWithBidirectionalStreamOutputError,
         >,
     > {
         &self.body
-+
+    }
     pub(crate) fn _request_id(mut self, request_id: impl Into<String>) -> Self {
         self._request_id = Some(request_id.into());
         self
-+
+    }
-+
     pub(crate) fn _set_request_id(&mut self, request_id: Option<String>) -> &mut Self {
         self._request_id = request_id;
         self
-+
+    }
     /// Consumes the builder and constructs a [`InvokeModelWithBidirectionalStreamOutput`](crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamOutput).
     /// This method will fail if any of the following fields are not set:
     /// - [`body`](crate::operation::invoke_model_with_bidirectional_stream::builders::InvokeModelWithBidirectionalStreamOutputBuilder::body)
     pub fn build(
         self,
     ) -> ::std::result::Result<
         crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamOutput,
         ::aws_smithy_types::error::operation::BuildError,
     > {
         ::std::result::Result::Ok(
             crate::operation::invoke_model_with_bidirectional_stream::InvokeModelWithBidirectionalStreamOutput {
                 body: self.body.ok_or_else(|| {
                     ::aws_smithy_types::error::operation::BuildError::missing_field(
                         "body",
                         "body was not specified but it is required when building InvokeModelWithBidirectionalStreamOutput",
-+
+                    )
                 })?,
                 _request_id: self._request_id,
             },
-+
+        )
-+
+    }
-+
+}

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