AWS SDK

rev. ba98f30b52e51c6e715b0ae469e7a2e988c27d9a (ignoring whitespace)

Files changed:

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

@@ -1,0 +155,0 @@

 // 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, ::std::fmt::Debug)]
 pub struct ApplyGuardrailInput {
     /// <p>The guardrail identifier used in the request to apply the guardrail.</p>
     pub guardrail_identifier: ::std::option::Option<::std::string::String>,
     /// <p>The guardrail version used in the request to apply the guardrail.</p>
     pub guardrail_version: ::std::option::Option<::std::string::String>,
     /// <p>The source of data used in the request to apply the guardrail.</p>
     pub source: ::std::option::Option<crate::types::GuardrailContentSource>,
     /// <p>The content details used in the request to apply the guardrail.</p>
     pub content: ::std::option::Option<::std::vec::Vec<crate::types::GuardrailContentBlock>>,
     /// <p>Specifies the scope of the output that you get in the response. Set to <code>FULL</code> to return the entire output, including any detected and non-detected entries in the response for enhanced debugging.</p>
     /// <p>Note that the full output scope doesn't apply to word filters or regex in sensitive information filters. It does apply to all other filtering policies, including sensitive information with filters that can detect personally identifiable information (PII).</p>
     pub output_scope: ::std::option::Option<crate::types::GuardrailOutputScope>,
--
+}
 impl ApplyGuardrailInput {
     /// <p>The guardrail identifier used in the request to apply the guardrail.</p>
     pub fn guardrail_identifier(&self) -> ::std::option::Option<&str> {
         self.guardrail_identifier.as_deref()
--
+    }
     /// <p>The guardrail version used in the request to apply the guardrail.</p>
     pub fn guardrail_version(&self) -> ::std::option::Option<&str> {
         self.guardrail_version.as_deref()
--
+    }
     /// <p>The source of data used in the request to apply the guardrail.</p>
     pub fn source(&self) -> ::std::option::Option<&crate::types::GuardrailContentSource> {
         self.source.as_ref()
--
+    }
     /// <p>The content details used in the request to apply the guardrail.</p>
     ///
     /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.content.is_none()`.
     pub fn content(&self) -> &[crate::types::GuardrailContentBlock] {
         self.content.as_deref().unwrap_or_default()
--
+    }
     /// <p>Specifies the scope of the output that you get in the response. Set to <code>FULL</code> to return the entire output, including any detected and non-detected entries in the response for enhanced debugging.</p>
     /// <p>Note that the full output scope doesn't apply to word filters or regex in sensitive information filters. It does apply to all other filtering policies, including sensitive information with filters that can detect personally identifiable information (PII).</p>
     pub fn output_scope(&self) -> ::std::option::Option<&crate::types::GuardrailOutputScope> {
         self.output_scope.as_ref()
--
+    }
--
+}
 impl ApplyGuardrailInput {
     /// Creates a new builder-style object to manufacture [`ApplyGuardrailInput`](crate::operation::apply_guardrail::ApplyGuardrailInput).
     pub fn builder() -> crate::operation::apply_guardrail::builders::ApplyGuardrailInputBuilder {
         crate::operation::apply_guardrail::builders::ApplyGuardrailInputBuilder::default()
--
+    }
--
+}
--
 /// A builder for [`ApplyGuardrailInput`](crate::operation::apply_guardrail::ApplyGuardrailInput).
 #[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
 #[non_exhaustive]
 pub struct ApplyGuardrailInputBuilder {
     pub(crate) guardrail_identifier: ::std::option::Option<::std::string::String>,
     pub(crate) guardrail_version: ::std::option::Option<::std::string::String>,
     pub(crate) source: ::std::option::Option<crate::types::GuardrailContentSource>,
     pub(crate) content: ::std::option::Option<::std::vec::Vec<crate::types::GuardrailContentBlock>>,
     pub(crate) output_scope: ::std::option::Option<crate::types::GuardrailOutputScope>,
--
+}
 impl ApplyGuardrailInputBuilder {
     /// <p>The guardrail identifier used in the request to apply the guardrail.</p>
     /// This field is required.
     pub fn guardrail_identifier(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.guardrail_identifier = ::std::option::Option::Some(input.into());
         self
--
+    }
     /// <p>The guardrail identifier used in the request to apply the guardrail.</p>
     pub fn set_guardrail_identifier(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.guardrail_identifier = input;
         self
--
+    }
     /// <p>The guardrail identifier used in the request to apply the guardrail.</p>
     pub fn get_guardrail_identifier(&self) -> &::std::option::Option<::std::string::String> {
         &self.guardrail_identifier
--
+    }
     /// <p>The guardrail version used in the request to apply the guardrail.</p>
     /// This field is required.
     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
--
+    }
     /// <p>The guardrail version used in the request to apply the guardrail.</p>
     pub fn set_guardrail_version(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.guardrail_version = input;
         self
--
+    }
     /// <p>The guardrail version used in the request to apply the guardrail.</p>
     pub fn get_guardrail_version(&self) -> &::std::option::Option<::std::string::String> {
         &self.guardrail_version
--
+    }
     /// <p>The source of data used in the request to apply the guardrail.</p>
     /// This field is required.
     pub fn source(mut self, input: crate::types::GuardrailContentSource) -> Self {
         self.source = ::std::option::Option::Some(input);
         self
--
+    }
     /// <p>The source of data used in the request to apply the guardrail.</p>
     pub fn set_source(mut self, input: ::std::option::Option<crate::types::GuardrailContentSource>) -> Self {
         self.source = input;
         self
--
+    }
     /// <p>The source of data used in the request to apply the guardrail.</p>
     pub fn get_source(&self) -> &::std::option::Option<crate::types::GuardrailContentSource> {
         &self.source
--
+    }
     /// Appends an item to `content`.
     ///
     /// To override the contents of this collection use [`set_content`](Self::set_content).
     ///
     /// <p>The content details used in the request to apply the guardrail.</p>
     pub fn content(mut self, input: crate::types::GuardrailContentBlock) -> Self {
         let mut v = self.content.unwrap_or_default();
         v.push(input);
         self.content = ::std::option::Option::Some(v);
         self
--
+    }
     /// <p>The content details used in the request to apply the guardrail.</p>
     pub fn set_content(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::GuardrailContentBlock>>) -> Self {
         self.content = input;
         self
--
+    }
     /// <p>The content details used in the request to apply the guardrail.</p>
     pub fn get_content(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::GuardrailContentBlock>> {
         &self.content
--
+    }
     /// <p>Specifies the scope of the output that you get in the response. Set to <code>FULL</code> to return the entire output, including any detected and non-detected entries in the response for enhanced debugging.</p>
     /// <p>Note that the full output scope doesn't apply to word filters or regex in sensitive information filters. It does apply to all other filtering policies, including sensitive information with filters that can detect personally identifiable information (PII).</p>
     pub fn output_scope(mut self, input: crate::types::GuardrailOutputScope) -> Self {
         self.output_scope = ::std::option::Option::Some(input);
         self
--
+    }
     /// <p>Specifies the scope of the output that you get in the response. Set to <code>FULL</code> to return the entire output, including any detected and non-detected entries in the response for enhanced debugging.</p>
     /// <p>Note that the full output scope doesn't apply to word filters or regex in sensitive information filters. It does apply to all other filtering policies, including sensitive information with filters that can detect personally identifiable information (PII).</p>
     pub fn set_output_scope(mut self, input: ::std::option::Option<crate::types::GuardrailOutputScope>) -> Self {
         self.output_scope = input;
         self
--
+    }
     /// <p>Specifies the scope of the output that you get in the response. Set to <code>FULL</code> to return the entire output, including any detected and non-detected entries in the response for enhanced debugging.</p>
     /// <p>Note that the full output scope doesn't apply to word filters or regex in sensitive information filters. It does apply to all other filtering policies, including sensitive information with filters that can detect personally identifiable information (PII).</p>
     pub fn get_output_scope(&self) -> &::std::option::Option<crate::types::GuardrailOutputScope> {
         &self.output_scope
--
+    }
     /// Consumes the builder and constructs a [`ApplyGuardrailInput`](crate::operation::apply_guardrail::ApplyGuardrailInput).
     pub fn build(
         self,
     ) -> ::std::result::Result<crate::operation::apply_guardrail::ApplyGuardrailInput, ::aws_smithy_types::error::operation::BuildError> {
         ::std::result::Result::Ok(crate::operation::apply_guardrail::ApplyGuardrailInput {
             guardrail_identifier: self.guardrail_identifier,
             guardrail_version: self.guardrail_version,
             source: self.source,
             content: self.content,
             output_scope: self.output_scope,
         })
--
+    }
--
+}

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

@@ -1,0 +213,0 @@

 // 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, ::std::fmt::Debug)]
 pub struct ApplyGuardrailOutput {
     /// <p>The usage details in the response from the guardrail.</p>
     pub usage: ::std::option::Option<crate::types::GuardrailUsage>,
     /// <p>The action taken in the response from the guardrail.</p>
     pub action: crate::types::GuardrailAction,
     /// <p>The reason for the action taken when harmful content is detected.</p>
     pub action_reason: ::std::option::Option<::std::string::String>,
     /// <p>The output details in the response from the guardrail.</p>
     pub outputs: ::std::vec::Vec<crate::types::GuardrailOutputContent>,
     /// <p>The assessment details in the response from the guardrail.</p>
     pub assessments: ::std::vec::Vec<crate::types::GuardrailAssessment>,
     /// <p>The guardrail coverage details in the apply guardrail response.</p>
     pub guardrail_coverage: ::std::option::Option<crate::types::GuardrailCoverage>,
     _request_id: Option<String>,
--
+}
 impl ApplyGuardrailOutput {
     /// <p>The usage details in the response from the guardrail.</p>
     pub fn usage(&self) -> ::std::option::Option<&crate::types::GuardrailUsage> {
         self.usage.as_ref()
--
+    }
     /// <p>The action taken in the response from the guardrail.</p>
     pub fn action(&self) -> &crate::types::GuardrailAction {
         &self.action
--
+    }
     /// <p>The reason for the action taken when harmful content is detected.</p>
     pub fn action_reason(&self) -> ::std::option::Option<&str> {
         self.action_reason.as_deref()
--
+    }
     /// <p>The output details in the response from the guardrail.</p>
     pub fn outputs(&self) -> &[crate::types::GuardrailOutputContent] {
         use std::ops::Deref;
         self.outputs.deref()
--
+    }
     /// <p>The assessment details in the response from the guardrail.</p>
     pub fn assessments(&self) -> &[crate::types::GuardrailAssessment] {
         use std::ops::Deref;
         self.assessments.deref()
--
+    }
     /// <p>The guardrail coverage details in the apply guardrail response.</p>
     pub fn guardrail_coverage(&self) -> ::std::option::Option<&crate::types::GuardrailCoverage> {
         self.guardrail_coverage.as_ref()
--
+    }
--
+}
 impl ::aws_types::request_id::RequestId for ApplyGuardrailOutput {
     fn request_id(&self) -> Option<&str> {
         self._request_id.as_deref()
--
+    }
--
+}
 impl ApplyGuardrailOutput {
     /// Creates a new builder-style object to manufacture [`ApplyGuardrailOutput`](crate::operation::apply_guardrail::ApplyGuardrailOutput).
     pub fn builder() -> crate::operation::apply_guardrail::builders::ApplyGuardrailOutputBuilder {
         crate::operation::apply_guardrail::builders::ApplyGuardrailOutputBuilder::default()
--
+    }
--
+}
--
 /// A builder for [`ApplyGuardrailOutput`](crate::operation::apply_guardrail::ApplyGuardrailOutput).
 #[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
 #[non_exhaustive]
 pub struct ApplyGuardrailOutputBuilder {
     pub(crate) usage: ::std::option::Option<crate::types::GuardrailUsage>,
     pub(crate) action: ::std::option::Option<crate::types::GuardrailAction>,
     pub(crate) action_reason: ::std::option::Option<::std::string::String>,
     pub(crate) outputs: ::std::option::Option<::std::vec::Vec<crate::types::GuardrailOutputContent>>,
     pub(crate) assessments: ::std::option::Option<::std::vec::Vec<crate::types::GuardrailAssessment>>,
     pub(crate) guardrail_coverage: ::std::option::Option<crate::types::GuardrailCoverage>,
     _request_id: Option<String>,
--
+}
 impl ApplyGuardrailOutputBuilder {
     /// <p>The usage details in the response from the guardrail.</p>
     /// This field is required.
     pub fn usage(mut self, input: crate::types::GuardrailUsage) -> Self {
         self.usage = ::std::option::Option::Some(input);
         self
--
+    }
     /// <p>The usage details in the response from the guardrail.</p>
     pub fn set_usage(mut self, input: ::std::option::Option<crate::types::GuardrailUsage>) -> Self {
         self.usage = input;
         self
--
+    }
     /// <p>The usage details in the response from the guardrail.</p>
     pub fn get_usage(&self) -> &::std::option::Option<crate::types::GuardrailUsage> {
         &self.usage
--
+    }
     /// <p>The action taken in the response from the guardrail.</p>
     /// This field is required.
     pub fn action(mut self, input: crate::types::GuardrailAction) -> Self {
         self.action = ::std::option::Option::Some(input);
         self
--
+    }
     /// <p>The action taken in the response from the guardrail.</p>
     pub fn set_action(mut self, input: ::std::option::Option<crate::types::GuardrailAction>) -> Self {
         self.action = input;
         self
--
+    }
     /// <p>The action taken in the response from the guardrail.</p>
     pub fn get_action(&self) -> &::std::option::Option<crate::types::GuardrailAction> {
         &self.action
--
+    }
     /// <p>The reason for the action taken when harmful content is detected.</p>
     pub fn action_reason(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.action_reason = ::std::option::Option::Some(input.into());
         self
--
+    }
     /// <p>The reason for the action taken when harmful content is detected.</p>
     pub fn set_action_reason(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.action_reason = input;
         self
--
+    }
     /// <p>The reason for the action taken when harmful content is detected.</p>
     pub fn get_action_reason(&self) -> &::std::option::Option<::std::string::String> {
         &self.action_reason
--
+    }
     /// Appends an item to `outputs`.
     ///
     /// To override the contents of this collection use [`set_outputs`](Self::set_outputs).
     ///
     /// <p>The output details in the response from the guardrail.</p>
     pub fn outputs(mut self, input: crate::types::GuardrailOutputContent) -> Self {
         let mut v = self.outputs.unwrap_or_default();
         v.push(input);
         self.outputs = ::std::option::Option::Some(v);
         self
--
+    }
     /// <p>The output details in the response from the guardrail.</p>
     pub fn set_outputs(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::GuardrailOutputContent>>) -> Self {
         self.outputs = input;
         self
--
+    }
     /// <p>The output details in the response from the guardrail.</p>
     pub fn get_outputs(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::GuardrailOutputContent>> {
         &self.outputs
--
+    }
     /// Appends an item to `assessments`.
     ///
     /// To override the contents of this collection use [`set_assessments`](Self::set_assessments).
     ///
     /// <p>The assessment details in the response from the guardrail.</p>
     pub fn assessments(mut self, input: crate::types::GuardrailAssessment) -> Self {
         let mut v = self.assessments.unwrap_or_default();
         v.push(input);
         self.assessments = ::std::option::Option::Some(v);
         self
--
+    }
     /// <p>The assessment details in the response from the guardrail.</p>
     pub fn set_assessments(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::GuardrailAssessment>>) -> Self {
         self.assessments = input;
         self
--
+    }
     /// <p>The assessment details in the response from the guardrail.</p>
     pub fn get_assessments(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::GuardrailAssessment>> {
         &self.assessments
--
+    }
     /// <p>The guardrail coverage details in the apply guardrail response.</p>
     pub fn guardrail_coverage(mut self, input: crate::types::GuardrailCoverage) -> Self {
         self.guardrail_coverage = ::std::option::Option::Some(input);
         self
--
+    }
     /// <p>The guardrail coverage details in the apply guardrail response.</p>
     pub fn set_guardrail_coverage(mut self, input: ::std::option::Option<crate::types::GuardrailCoverage>) -> Self {
         self.guardrail_coverage = input;
         self
--
+    }
     /// <p>The guardrail coverage details in the apply guardrail response.</p>
     pub fn get_guardrail_coverage(&self) -> &::std::option::Option<crate::types::GuardrailCoverage> {
         &self.guardrail_coverage
--
+    }
     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 [`ApplyGuardrailOutput`](crate::operation::apply_guardrail::ApplyGuardrailOutput).
     /// This method will fail if any of the following fields are not set:
     /// - [`action`](crate::operation::apply_guardrail::builders::ApplyGuardrailOutputBuilder::action)
     /// - [`outputs`](crate::operation::apply_guardrail::builders::ApplyGuardrailOutputBuilder::outputs)
     /// - [`assessments`](crate::operation::apply_guardrail::builders::ApplyGuardrailOutputBuilder::assessments)
     pub fn build(
         self,
     ) -> ::std::result::Result<crate::operation::apply_guardrail::ApplyGuardrailOutput, ::aws_smithy_types::error::operation::BuildError> {
         ::std::result::Result::Ok(crate::operation::apply_guardrail::ApplyGuardrailOutput {
             usage: self.usage,
             action: self.action.ok_or_else(|| {
                 ::aws_smithy_types::error::operation::BuildError::missing_field(
                     "action",
                     "action was not specified but it is required when building ApplyGuardrailOutput",
--
+                )
             })?,
             action_reason: self.action_reason,
             outputs: self.outputs.ok_or_else(|| {
                 ::aws_smithy_types::error::operation::BuildError::missing_field(
                     "outputs",
                     "outputs was not specified but it is required when building ApplyGuardrailOutput",
--
+                )
             })?,
             assessments: self.assessments.ok_or_else(|| {
                 ::aws_smithy_types::error::operation::BuildError::missing_field(
                     "assessments",
                     "assessments was not specified but it is required when building ApplyGuardrailOutput",
--
+                )
             })?,
             guardrail_coverage: self.guardrail_coverage,
             _request_id: self._request_id,
         })
--
+    }
--
+}

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

@@ -1,0 +190,0 @@

 // Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
 pub use crate::operation::apply_guardrail::_apply_guardrail_output::ApplyGuardrailOutputBuilder;
--
 pub use crate::operation::apply_guardrail::_apply_guardrail_input::ApplyGuardrailInputBuilder;
--
 impl crate::operation::apply_guardrail::builders::ApplyGuardrailInputBuilder {
     /// Sends a request with this input using the given client.
     pub async fn send_with(
         self,
         client: &crate::Client,
     ) -> ::std::result::Result<
         crate::operation::apply_guardrail::ApplyGuardrailOutput,
         ::aws_smithy_runtime_api::client::result::SdkError<
             crate::operation::apply_guardrail::ApplyGuardrailError,
             ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
         >,
     > {
         let mut fluent_builder = client.apply_guardrail();
         fluent_builder.inner = self;
         fluent_builder.send().await
--
+    }
--
+}
 /// Fluent builder constructing a request to `ApplyGuardrail`.
 ///
 /// <p>The action to apply a guardrail.</p>
 /// <p>For troubleshooting some of the common errors you might encounter when using the <code>ApplyGuardrail</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 ApplyGuardrailFluentBuilder {
     handle: ::std::sync::Arc<crate::client::Handle>,
     inner: crate::operation::apply_guardrail::builders::ApplyGuardrailInputBuilder,
     config_override: ::std::option::Option<crate::config::Builder>,
--
+}
 impl
     crate::client::customize::internal::CustomizableSend<
         crate::operation::apply_guardrail::ApplyGuardrailOutput,
         crate::operation::apply_guardrail::ApplyGuardrailError,
     > for ApplyGuardrailFluentBuilder
--
+{
     fn send(
         self,
         config_override: crate::config::Builder,
     ) -> crate::client::customize::internal::BoxFuture<
         crate::client::customize::internal::SendResult<
             crate::operation::apply_guardrail::ApplyGuardrailOutput,
             crate::operation::apply_guardrail::ApplyGuardrailError,
         >,
     > {
         ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
--
+    }
--
+}
 impl ApplyGuardrailFluentBuilder {
     /// Creates a new `ApplyGuardrailFluentBuilder`.
     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 ApplyGuardrail as a reference.
     pub fn as_input(&self) -> &crate::operation::apply_guardrail::builders::ApplyGuardrailInputBuilder {
         &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::apply_guardrail::ApplyGuardrailOutput,
         ::aws_smithy_runtime_api::client::result::SdkError<
             crate::operation::apply_guardrail::ApplyGuardrailError,
             ::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::apply_guardrail::ApplyGuardrail::operation_runtime_plugins(
             self.handle.runtime_plugins.clone(),
             &self.handle.conf,
             self.config_override,
         );
         crate::operation::apply_guardrail::ApplyGuardrail::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::apply_guardrail::ApplyGuardrailOutput,
         crate::operation::apply_guardrail::ApplyGuardrailError,
         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 guardrail identifier used in the request to apply the guardrail.</p>
     pub fn guardrail_identifier(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.inner = self.inner.guardrail_identifier(input.into());
         self
--
+    }
     /// <p>The guardrail identifier used in the request to apply the guardrail.</p>
     pub fn set_guardrail_identifier(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.inner = self.inner.set_guardrail_identifier(input);
         self
--
+    }
     /// <p>The guardrail identifier used in the request to apply the guardrail.</p>
     pub fn get_guardrail_identifier(&self) -> &::std::option::Option<::std::string::String> {
         self.inner.get_guardrail_identifier()
--
+    }
     /// <p>The guardrail version used in the request to apply the guardrail.</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
--
+    }
     /// <p>The guardrail version used in the request to apply the guardrail.</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
--
+    }
     /// <p>The guardrail version used in the request to apply the guardrail.</p>
     pub fn get_guardrail_version(&self) -> &::std::option::Option<::std::string::String> {
         self.inner.get_guardrail_version()
--
+    }
     /// <p>The source of data used in the request to apply the guardrail.</p>
     pub fn source(mut self, input: crate::types::GuardrailContentSource) -> Self {
         self.inner = self.inner.source(input);
         self
--
+    }
     /// <p>The source of data used in the request to apply the guardrail.</p>
     pub fn set_source(mut self, input: ::std::option::Option<crate::types::GuardrailContentSource>) -> Self {
         self.inner = self.inner.set_source(input);
         self
--
+    }
     /// <p>The source of data used in the request to apply the guardrail.</p>
     pub fn get_source(&self) -> &::std::option::Option<crate::types::GuardrailContentSource> {
         self.inner.get_source()
--
+    }
     ///
     /// Appends an item to `content`.
     ///
     /// To override the contents of this collection use [`set_content`](Self::set_content).
     ///
     /// <p>The content details used in the request to apply the guardrail.</p>
     pub fn content(mut self, input: crate::types::GuardrailContentBlock) -> Self {
         self.inner = self.inner.content(input);
         self
--
+    }
     /// <p>The content details used in the request to apply the guardrail.</p>
     pub fn set_content(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::GuardrailContentBlock>>) -> Self {
         self.inner = self.inner.set_content(input);
         self
--
+    }
     /// <p>The content details used in the request to apply the guardrail.</p>
     pub fn get_content(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::GuardrailContentBlock>> {
         self.inner.get_content()
--
+    }
     /// <p>Specifies the scope of the output that you get in the response. Set to <code>FULL</code> to return the entire output, including any detected and non-detected entries in the response for enhanced debugging.</p>
     /// <p>Note that the full output scope doesn't apply to word filters or regex in sensitive information filters. It does apply to all other filtering policies, including sensitive information with filters that can detect personally identifiable information (PII).</p>
     pub fn output_scope(mut self, input: crate::types::GuardrailOutputScope) -> Self {
         self.inner = self.inner.output_scope(input);
         self
--
+    }
     /// <p>Specifies the scope of the output that you get in the response. Set to <code>FULL</code> to return the entire output, including any detected and non-detected entries in the response for enhanced debugging.</p>
     /// <p>Note that the full output scope doesn't apply to word filters or regex in sensitive information filters. It does apply to all other filtering policies, including sensitive information with filters that can detect personally identifiable information (PII).</p>
     pub fn set_output_scope(mut self, input: ::std::option::Option<crate::types::GuardrailOutputScope>) -> Self {
         self.inner = self.inner.set_output_scope(input);
         self
--
+    }
     /// <p>Specifies the scope of the output that you get in the response. Set to <code>FULL</code> to return the entire output, including any detected and non-detected entries in the response for enhanced debugging.</p>
     /// <p>Note that the full output scope doesn't apply to word filters or regex in sensitive information filters. It does apply to all other filtering policies, including sensitive information with filters that can detect personally identifiable information (PII).</p>
     pub fn get_output_scope(&self) -> &::std::option::Option<crate::types::GuardrailOutputScope> {
         self.inner.get_output_scope()
--
+    }
--
+}

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

@@ -71,71 +131,130 @@

↥ Expand context

             for plugin in config_override.runtime_plugins.iter().cloned() {
                 runtime_plugins = runtime_plugins.with_operation_plugin(plugin);
-73
+            }
             runtime_plugins = runtime_plugins.with_operation_plugin(crate::config::ConfigOverrideRuntimePlugin::new(
                 config_override,
                 client_config.config.clone(),
                 &client_config.runtime_components,
             ));
-79
+        }
         runtime_plugins
-81
+    }
-82
+}
 impl ::aws_smithy_runtime_api::client::runtime_plugin::RuntimePlugin for Converse {
     fn config(&self) -> ::std::option::Option<::aws_smithy_types::config_bag::FrozenLayer> {
         let mut cfg = ::aws_smithy_types::config_bag::Layer::new("Converse");
-86
         cfg.store_put(::aws_smithy_runtime_api::client::ser_de::SharedRequestSerializer::new(
             ConverseRequestSerializer,
         ));
         cfg.store_put(::aws_smithy_runtime_api::client::ser_de::SharedResponseDeserializer::new(

             ConverseResponseDeserializer,
         ));
-93
         cfg.store_put(::aws_smithy_runtime_api::client::auth::AuthSchemeOptionResolverParams::new(
             crate::config::auth::Params::builder()
                 .operation_name("Converse")
                 .build()
                 .expect("required fields set"),
         ));
-100
         cfg.store_put(::aws_smithy_runtime_api::client::orchestrator::SensitiveOutput);
         cfg.store_put(::aws_smithy_runtime_api::client::orchestrator::Metadata::new(
             "Converse",
             "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 = None;
-110

↧ Expand context

         cfg.store_put(::aws_runtime::auth::SigV4OperationSigningConfig {
             signing_options,
             ..::std::default::Default::default()
         });
-115
         ::std::option::Option::Some(cfg.freeze())
-117
+    }
-118
     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("Converse")
             .with_interceptor(::aws_smithy_runtime::client::stalled_stream_protection::StalledStreamProtectionInterceptor::default())
             .with_interceptor(ConverseEndpointParamsInterceptor)
             .with_retry_classifier(::aws_smithy_runtime::client::retries::classifiers::TransientErrorClassifier::<
                 crate::operation::converse::ConverseError,
             >::new())
             .with_retry_classifier(::aws_smithy_runtime::client::retries::classifiers::ModeledAsRetryableClassifier::<

@@ -233,232 +451,437 @@

↥ 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::<ConverseInput>()
             .ok_or("failed to downcast to ConverseInput")?;
-239
         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(())

-252
+    }
-253
+}
-254
 // The get_* functions below are generated from JMESPath expressions in the
 // operationContextParams trait. They target the operation's input shape.
-257
 /// Error type for the `ConverseError` operation.
 #[non_exhaustive]
 #[derive(::std::fmt::Debug)]
 pub enum ConverseError {
     /// <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>
     /// <p>The request is denied because of missing access permissions.</p>
     AccessDeniedException(crate::types::error::AccessDeniedException),
     /// <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>
     /// <p>An internal server error occurred. Retry your request.</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. 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>
     /// <p>The model specified in the request is not ready to serve inference requests.</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. 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>
     /// <p>The specified resource ARN was not found. Check the ARN and try your request again.</p>
     ResourceNotFoundException(crate::types::error::ResourceNotFoundException),
     /// <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>
     /// <p>The number of requests exceeds the limit. Resubmit your request later.</p>
     ThrottlingException(crate::types::error::ThrottlingException),
     /// <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>
     /// <p>Input validation failed. Check your request parameters and retry the request.</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()`:
-281
+     \
     &nbsp;&nbsp;&nbsp;`err if err.code() == Some(\"SpecificExceptionCode\") => { /* handle the error */ }`
-283
+     \
     See [`ProvideErrorMetadata`](#impl-ProvideErrorMetadata-for-ConverseError) for what information is available for the error.")]
     Unhandled(crate::error::sealed_unhandled::Unhandled),
-286
+}
 impl ConverseError {
     /// Creates the `ConverseError::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(),
         })
-296
+    }
-297
     /// Creates the `ConverseError::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,
         })
-304
+    }
     ///
     /// 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::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,
-320
+        }
-321
+    }
     /// Returns `true` if the error kind is `ConverseError::AccessDeniedException`.
     pub fn is_access_denied_exception(&self) -> bool {
         matches!(self, Self::AccessDeniedException(_))
-325
+    }
     /// Returns `true` if the error kind is `ConverseError::InternalServerException`.
     pub fn is_internal_server_exception(&self) -> bool {
         matches!(self, Self::InternalServerException(_))
-329
+    }
     /// Returns `true` if the error kind is `ConverseError::ModelErrorException`.
     pub fn is_model_error_exception(&self) -> bool {
         matches!(self, Self::ModelErrorException(_))
-333
+    }
     /// Returns `true` if the error kind is `ConverseError::ModelNotReadyException`.
     pub fn is_model_not_ready_exception(&self) -> bool {
         matches!(self, Self::ModelNotReadyException(_))
-337
+    }
     /// Returns `true` if the error kind is `ConverseError::ModelTimeoutException`.
     pub fn is_model_timeout_exception(&self) -> bool {
         matches!(self, Self::ModelTimeoutException(_))
-341
+    }
     /// Returns `true` if the error kind is `ConverseError::ResourceNotFoundException`.
     pub fn is_resource_not_found_exception(&self) -> bool {
         matches!(self, Self::ResourceNotFoundException(_))
-345
+    }
     /// Returns `true` if the error kind is `ConverseError::ServiceUnavailableException`.
     pub fn is_service_unavailable_exception(&self) -> bool {
         matches!(self, Self::ServiceUnavailableException(_))
--
+    }
     /// Returns `true` if the error kind is `ConverseError::ThrottlingException`.
     pub fn is_throttling_exception(&self) -> bool {
         matches!(self, Self::ThrottlingException(_))
-349
+    }
     /// Returns `true` if the error kind is `ConverseError::ValidationException`.
     pub fn is_validation_exception(&self) -> bool {
         matches!(self, Self::ValidationException(_))
-353
+    }
-354
+}
 impl ::std::error::Error for ConverseError {
     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::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),
-367
+        }
-368
+    }
-369
+}
 impl ::std::fmt::Display for ConverseError {
     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::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")
-386
+                }
-387
+            }
-388
+        }
-389
+    }
-390
+}
 impl ::aws_smithy_types::retry::ProvideErrorKind for ConverseError {
     fn code(&self) -> ::std::option::Option<&str> {
         ::aws_smithy_types::error::metadata::ProvideErrorMetadata::code(self)
-394
+    }
     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,
--
+        }
         ::std::option::Option::None
-397
+    }
-398
+}
 impl ::aws_smithy_types::error::metadata::ProvideErrorMetadata for ConverseError {
     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::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,
-411
+        }
-412
+    }
-413
+}
 impl ::aws_smithy_runtime_api::client::result::CreateUnhandledError for ConverseError {
     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(),
         })
-423
+    }
-424
+}
 impl ::aws_types::request_id::RequestId for crate::operation::converse::ConverseError {
     fn request_id(&self) -> Option<&str> {
         self.meta().request_id()
-428
+    }
-429
+}
-430
 pub use crate::operation::converse::_converse_output::ConverseOutput;
-432
 pub use crate::operation::converse::_converse_input::ConverseInput;
-434
 mod _converse_input;
-436
 mod _converse_output;

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

@@ -1,1 +437,0 @@

 // 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)]
 #[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
 pub struct ConverseInput {
     /// <p>Specifies the model or throughput with which to run inference, or the prompt resource to use in inference. The value depends on the resource that you use:</p>
     /// <p>The identifier for the model that you want to call.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model 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>
     /// <li>
     /// <p>To include a prompt that was defined in <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html">Prompt management</a>, specify the ARN of the prompt version to use.</p></li>
     /// </ul>
     /// <p>The Converse API doesn't support <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported models</a>.</p>
     pub model_id: ::std::option::Option<::std::string::String>,
     /// <p>The messages that you want to send to the model.</p>
     pub messages: ::std::option::Option<::std::vec::Vec<crate::types::Message>>,
     /// <p>A prompt that provides instructions or context to the model about the task it should perform, or the persona it should adopt during the conversation.</p>
     /// <p>A system prompt to pass to the model.</p>
     pub system: ::std::option::Option<::std::vec::Vec<crate::types::SystemContentBlock>>,
     /// <p>Inference parameters to pass to the model. <code>Converse</code> and <code>ConverseStream</code> support a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     /// <p>Inference parameters to pass to the model. <code>Converse</code> supports a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     pub inference_config: ::std::option::Option<crate::types::InferenceConfiguration>,
     /// <p>Configuration information for the tools that the model can use when generating a response.</p>
     /// <p>For information about models that support tool use, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html#conversation-inference-supported-models-features">Supported models and model features</a>.</p>
     /// <p>Configuration information for the tools that the model can use when generating a response.</p><note>
     /// <p>This field is only supported by Anthropic Claude 3, Cohere Command R, Cohere Command R+, and Mistral Large models.</p>
     /// </note>
     pub tool_config: ::std::option::Option<crate::types::ToolConfiguration>,
     /// <p>Configuration information for a guardrail that you want to use in the request. If you include <code>guardContent</code> blocks in the <code>content</code> field in the <code>messages</code> field, the guardrail operates only on those messages. If you include no <code>guardContent</code> blocks, the guardrail operates on all messages in the request body and in any included prompt resource.</p>
     pub guardrail_config: ::std::option::Option<crate::types::GuardrailConfiguration>,
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> and <code>ConverseStream</code> support in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> supports in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     pub additional_model_request_fields: ::std::option::Option<::aws_smithy_types::Document>,
     /// <p>Contains a map of variables in a prompt from Prompt management to objects containing the values to fill in for them when running model invocation. This field is ignored if you don't specify a prompt resource in the <code>modelId</code> field.</p>
     pub prompt_variables: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::PromptVariableValues>>,
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> and <code>ConverseStream</code> return the requested fields as a JSON Pointer object in the <code>additionalModelResponseFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> returns the requested fields as a JSON Pointer object in the <code>additionalModelResultFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p><code>\[ "/stop_sequence" \]</code></p>
     /// <p>For information about the JSON Pointer syntax, see the <a href="https://datatracker.ietf.org/doc/html/rfc6901">Internet Engineering Task Force (IETF)</a> documentation.</p>
     /// <p><code>Converse</code> and <code>ConverseStream</code> reject an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     /// <p><code>Converse</code> rejects an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     pub additional_model_response_field_paths: ::std::option::Option<::std::vec::Vec<::std::string::String>>,
     /// <p>Key-value pairs that you can use to filter invocation logs.</p>
     pub request_metadata: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
     /// <p>Model performance settings for the request.</p>
     pub performance_config: ::std::option::Option<crate::types::PerformanceConfiguration>,
-34
+}
 impl ConverseInput {
     /// <p>Specifies the model or throughput with which to run inference, or the prompt resource to use in inference. The value depends on the resource that you use:</p>
     /// <p>The identifier for the model that you want to call.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model 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>
     /// <li>
     /// <p>To include a prompt that was defined in <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html">Prompt management</a>, specify the ARN of the prompt version to use.</p></li>
     /// </ul>
     /// <p>The Converse API doesn't support <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported models</a>.</p>
     pub fn model_id(&self) -> ::std::option::Option<&str> {
         self.model_id.as_deref()
-48
+    }
     /// <p>The messages that you want to send to the model.</p>
     ///
     /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.messages.is_none()`.
     pub fn messages(&self) -> &[crate::types::Message] {
         self.messages.as_deref().unwrap_or_default()
-54
+    }
     /// <p>A prompt that provides instructions or context to the model about the task it should perform, or the persona it should adopt during the conversation.</p>
     /// <p>A system prompt to pass to the model.</p>
     ///
     /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.system.is_none()`.
     pub fn system(&self) -> &[crate::types::SystemContentBlock] {
         self.system.as_deref().unwrap_or_default()
-60
+    }
     /// <p>Inference parameters to pass to the model. <code>Converse</code> and <code>ConverseStream</code> support a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     /// <p>Inference parameters to pass to the model. <code>Converse</code> supports a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     pub fn inference_config(&self) -> ::std::option::Option<&crate::types::InferenceConfiguration> {
         self.inference_config.as_ref()
-64
+    }
     /// <p>Configuration information for the tools that the model can use when generating a response.</p>
     /// <p>For information about models that support tool use, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html#conversation-inference-supported-models-features">Supported models and model features</a>.</p>
     /// <p>Configuration information for the tools that the model can use when generating a response.</p><note>
     /// <p>This field is only supported by Anthropic Claude 3, Cohere Command R, Cohere Command R+, and Mistral Large models.</p>
     /// </note>
     pub fn tool_config(&self) -> ::std::option::Option<&crate::types::ToolConfiguration> {
         self.tool_config.as_ref()
-70
+    }
     /// <p>Configuration information for a guardrail that you want to use in the request. If you include <code>guardContent</code> blocks in the <code>content</code> field in the <code>messages</code> field, the guardrail operates only on those messages. If you include no <code>guardContent</code> blocks, the guardrail operates on all messages in the request body and in any included prompt resource.</p>
     pub fn guardrail_config(&self) -> ::std::option::Option<&crate::types::GuardrailConfiguration> {
         self.guardrail_config.as_ref()
--
+    }
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> and <code>ConverseStream</code> support in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> supports in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     pub fn additional_model_request_fields(&self) -> ::std::option::Option<&::aws_smithy_types::Document> {
         self.additional_model_request_fields.as_ref()
-74
+    }
     /// <p>Contains a map of variables in a prompt from Prompt management to objects containing the values to fill in for them when running model invocation. This field is ignored if you don't specify a prompt resource in the <code>modelId</code> field.</p>
     pub fn prompt_variables(&self) -> ::std::option::Option<&::std::collections::HashMap<::std::string::String, crate::types::PromptVariableValues>> {
         self.prompt_variables.as_ref()
--
+    }
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> and <code>ConverseStream</code> return the requested fields as a JSON Pointer object in the <code>additionalModelResponseFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> returns the requested fields as a JSON Pointer object in the <code>additionalModelResultFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p><code>\[ "/stop_sequence" \]</code></p>
     /// <p>For information about the JSON Pointer syntax, see the <a href="https://datatracker.ietf.org/doc/html/rfc6901">Internet Engineering Task Force (IETF)</a> documentation.</p>
     /// <p><code>Converse</code> and <code>ConverseStream</code> reject an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     /// <p><code>Converse</code> rejects an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     ///
     /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.additional_model_response_field_paths.is_none()`.
     pub fn additional_model_response_field_paths(&self) -> &[::std::string::String] {
         self.additional_model_response_field_paths.as_deref().unwrap_or_default()
-83
+    }
     /// <p>Key-value pairs that you can use to filter invocation logs.</p>
     pub fn request_metadata(&self) -> ::std::option::Option<&::std::collections::HashMap<::std::string::String, ::std::string::String>> {
         self.request_metadata.as_ref()
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn performance_config(&self) -> ::std::option::Option<&crate::types::PerformanceConfiguration> {
         self.performance_config.as_ref()
--
+    }
--
+}
 impl ::std::fmt::Debug for ConverseInput {
     fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
         let mut formatter = f.debug_struct("ConverseInput");
         formatter.field("model_id", &self.model_id);
         formatter.field("messages", &self.messages);
         formatter.field("system", &self.system);
         formatter.field("inference_config", &self.inference_config);
         formatter.field("tool_config", &self.tool_config);
         formatter.field("guardrail_config", &self.guardrail_config);
         formatter.field("additional_model_request_fields", &self.additional_model_request_fields);
         formatter.field("prompt_variables", &"*** Sensitive Data Redacted ***");
         formatter.field("additional_model_response_field_paths", &self.additional_model_response_field_paths);
         formatter.field("request_metadata", &"*** Sensitive Data Redacted ***");
         formatter.field("performance_config", &self.performance_config);
         formatter.finish()
--
+    }
-84
+}
 impl ConverseInput {
     /// Creates a new builder-style object to manufacture [`ConverseInput`](crate::operation::converse::ConverseInput).
     pub fn builder() -> crate::operation::converse::builders::ConverseInputBuilder {
         crate::operation::converse::builders::ConverseInputBuilder::default()
-89
+    }
-90
+}
-91
 /// A builder for [`ConverseInput`](crate::operation::converse::ConverseInput).
 #[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default)]
 #[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
 #[non_exhaustive]
 pub struct ConverseInputBuilder {
     pub(crate) model_id: ::std::option::Option<::std::string::String>,
     pub(crate) messages: ::std::option::Option<::std::vec::Vec<crate::types::Message>>,
     pub(crate) system: ::std::option::Option<::std::vec::Vec<crate::types::SystemContentBlock>>,
     pub(crate) inference_config: ::std::option::Option<crate::types::InferenceConfiguration>,
     pub(crate) tool_config: ::std::option::Option<crate::types::ToolConfiguration>,
     pub(crate) guardrail_config: ::std::option::Option<crate::types::GuardrailConfiguration>,
     pub(crate) additional_model_request_fields: ::std::option::Option<::aws_smithy_types::Document>,
     pub(crate) prompt_variables: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::PromptVariableValues>>,
     pub(crate) additional_model_response_field_paths: ::std::option::Option<::std::vec::Vec<::std::string::String>>,
     pub(crate) request_metadata: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
     pub(crate) performance_config: ::std::option::Option<crate::types::PerformanceConfiguration>,
-103
+}
 impl ConverseInputBuilder {
     /// <p>Specifies the model or throughput with which to run inference, or the prompt resource to use in inference. The value depends on the resource that you use:</p>
     /// <p>The identifier for the model that you want to call.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model 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>
     /// <li>
     /// <p>To include a prompt that was defined in <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html">Prompt management</a>, specify the ARN of the prompt version to use.</p></li>
     /// </ul>
     /// <p>The Converse API doesn't support <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported models</a>.</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
-119
+    }
     /// <p>Specifies the model or throughput with which to run inference, or the prompt resource to use in inference. The value depends on the resource that you use:</p>
     /// <p>The identifier for the model that you want to call.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model 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>
     /// <li>
     /// <p>To include a prompt that was defined in <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html">Prompt management</a>, specify the ARN of the prompt version to use.</p></li>
     /// </ul>
     /// <p>The Converse API doesn't support <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported models</a>.</p>
     pub fn set_model_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.model_id = input;
         self
-133
+    }
     /// <p>Specifies the model or throughput with which to run inference, or the prompt resource to use in inference. The value depends on the resource that you use:</p>
     /// <p>The identifier for the model that you want to call.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model 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>
     /// <li>
     /// <p>To include a prompt that was defined in <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html">Prompt management</a>, specify the ARN of the prompt version to use.</p></li>
     /// </ul>
     /// <p>The Converse API doesn't support <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported models</a>.</p>
     pub fn get_model_id(&self) -> &::std::option::Option<::std::string::String> {
         &self.model_id
-146
+    }
     /// Appends an item to `messages`.
     ///
     /// To override the contents of this collection use [`set_messages`](Self::set_messages).
     ///
     /// <p>The messages that you want to send to the model.</p>
     pub fn messages(mut self, input: crate::types::Message) -> Self {
         let mut v = self.messages.unwrap_or_default();
         v.push(input);
         self.messages = ::std::option::Option::Some(v);
         self
-157
+    }
     /// <p>The messages that you want to send to the model.</p>
     pub fn set_messages(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Message>>) -> Self {
         self.messages = input;
         self
-162
+    }
     /// <p>The messages that you want to send to the model.</p>
     pub fn get_messages(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Message>> {
         &self.messages
-166
+    }
     /// Appends an item to `system`.
     ///
     /// To override the contents of this collection use [`set_system`](Self::set_system).
     ///
     /// <p>A prompt that provides instructions or context to the model about the task it should perform, or the persona it should adopt during the conversation.</p>
     /// <p>A system prompt to pass to the model.</p>
     pub fn system(mut self, input: crate::types::SystemContentBlock) -> Self {
         let mut v = self.system.unwrap_or_default();
         v.push(input);
         self.system = ::std::option::Option::Some(v);
         self
-177
+    }
     /// <p>A prompt that provides instructions or context to the model about the task it should perform, or the persona it should adopt during the conversation.</p>
     /// <p>A system prompt to pass to the model.</p>
     pub fn set_system(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::SystemContentBlock>>) -> Self {
         self.system = input;
         self
-182
+    }
     /// <p>A prompt that provides instructions or context to the model about the task it should perform, or the persona it should adopt during the conversation.</p>
     /// <p>A system prompt to pass to the model.</p>
     pub fn get_system(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::SystemContentBlock>> {
         &self.system
-186
+    }
     /// <p>Inference parameters to pass to the model. <code>Converse</code> and <code>ConverseStream</code> support a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     /// <p>Inference parameters to pass to the model. <code>Converse</code> supports a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     pub fn inference_config(mut self, input: crate::types::InferenceConfiguration) -> Self {
         self.inference_config = ::std::option::Option::Some(input);
         self
-191
+    }
     /// <p>Inference parameters to pass to the model. <code>Converse</code> and <code>ConverseStream</code> support a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     /// <p>Inference parameters to pass to the model. <code>Converse</code> supports a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     pub fn set_inference_config(mut self, input: ::std::option::Option<crate::types::InferenceConfiguration>) -> Self {
         self.inference_config = input;
         self
-196
+    }
     /// <p>Inference parameters to pass to the model. <code>Converse</code> and <code>ConverseStream</code> support a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     /// <p>Inference parameters to pass to the model. <code>Converse</code> supports a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     pub fn get_inference_config(&self) -> &::std::option::Option<crate::types::InferenceConfiguration> {
         &self.inference_config
-200
+    }
     /// <p>Configuration information for the tools that the model can use when generating a response.</p>
     /// <p>For information about models that support tool use, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html#conversation-inference-supported-models-features">Supported models and model features</a>.</p>
     /// <p>Configuration information for the tools that the model can use when generating a response.</p><note>
     /// <p>This field is only supported by Anthropic Claude 3, Cohere Command R, Cohere Command R+, and Mistral Large models.</p>
     /// </note>
     pub fn tool_config(mut self, input: crate::types::ToolConfiguration) -> Self {
         self.tool_config = ::std::option::Option::Some(input);
         self
-207
+    }
     /// <p>Configuration information for the tools that the model can use when generating a response.</p>
     /// <p>For information about models that support tool use, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html#conversation-inference-supported-models-features">Supported models and model features</a>.</p>
     /// <p>Configuration information for the tools that the model can use when generating a response.</p><note>
     /// <p>This field is only supported by Anthropic Claude 3, Cohere Command R, Cohere Command R+, and Mistral Large models.</p>
     /// </note>
     pub fn set_tool_config(mut self, input: ::std::option::Option<crate::types::ToolConfiguration>) -> Self {
         self.tool_config = input;
         self
-214
+    }
     /// <p>Configuration information for the tools that the model can use when generating a response.</p>
     /// <p>For information about models that support tool use, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html#conversation-inference-supported-models-features">Supported models and model features</a>.</p>
     /// <p>Configuration information for the tools that the model can use when generating a response.</p><note>
     /// <p>This field is only supported by Anthropic Claude 3, Cohere Command R, Cohere Command R+, and Mistral Large models.</p>
     /// </note>
     pub fn get_tool_config(&self) -> &::std::option::Option<crate::types::ToolConfiguration> {
         &self.tool_config
-220
+    }
     /// <p>Configuration information for a guardrail that you want to use in the request. If you include <code>guardContent</code> blocks in the <code>content</code> field in the <code>messages</code> field, the guardrail operates only on those messages. If you include no <code>guardContent</code> blocks, the guardrail operates on all messages in the request body and in any included prompt resource.</p>
     pub fn guardrail_config(mut self, input: crate::types::GuardrailConfiguration) -> Self {
         self.guardrail_config = ::std::option::Option::Some(input);
         self
--
+    }
     /// <p>Configuration information for a guardrail that you want to use in the request. If you include <code>guardContent</code> blocks in the <code>content</code> field in the <code>messages</code> field, the guardrail operates only on those messages. If you include no <code>guardContent</code> blocks, the guardrail operates on all messages in the request body and in any included prompt resource.</p>
     pub fn set_guardrail_config(mut self, input: ::std::option::Option<crate::types::GuardrailConfiguration>) -> Self {
         self.guardrail_config = input;
         self
--
+    }
     /// <p>Configuration information for a guardrail that you want to use in the request. If you include <code>guardContent</code> blocks in the <code>content</code> field in the <code>messages</code> field, the guardrail operates only on those messages. If you include no <code>guardContent</code> blocks, the guardrail operates on all messages in the request body and in any included prompt resource.</p>
     pub fn get_guardrail_config(&self) -> &::std::option::Option<crate::types::GuardrailConfiguration> {
         &self.guardrail_config
--
+    }
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> and <code>ConverseStream</code> support in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> supports in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     pub fn additional_model_request_fields(mut self, input: ::aws_smithy_types::Document) -> Self {
         self.additional_model_request_fields = ::std::option::Option::Some(input);
         self
-225
+    }
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> and <code>ConverseStream</code> support in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> supports in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     pub fn set_additional_model_request_fields(mut self, input: ::std::option::Option<::aws_smithy_types::Document>) -> Self {
         self.additional_model_request_fields = input;
         self
-230
+    }
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> and <code>ConverseStream</code> support in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> supports in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     pub fn get_additional_model_request_fields(&self) -> &::std::option::Option<::aws_smithy_types::Document> {
         &self.additional_model_request_fields
-234
+    }
     /// Adds a key-value pair to `prompt_variables`.
     ///
     /// To override the contents of this collection use [`set_prompt_variables`](Self::set_prompt_variables).
     ///
     /// <p>Contains a map of variables in a prompt from Prompt management to objects containing the values to fill in for them when running model invocation. This field is ignored if you don't specify a prompt resource in the <code>modelId</code> field.</p>
     pub fn prompt_variables(mut self, k: impl ::std::convert::Into<::std::string::String>, v: crate::types::PromptVariableValues) -> Self {
         let mut hash_map = self.prompt_variables.unwrap_or_default();
         hash_map.insert(k.into(), v);
         self.prompt_variables = ::std::option::Option::Some(hash_map);
         self
--
+    }
     /// <p>Contains a map of variables in a prompt from Prompt management to objects containing the values to fill in for them when running model invocation. This field is ignored if you don't specify a prompt resource in the <code>modelId</code> field.</p>
     pub fn set_prompt_variables(
         mut self,
         input: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::PromptVariableValues>>,
     ) -> Self {
         self.prompt_variables = input;
         self
--
+    }
     /// <p>Contains a map of variables in a prompt from Prompt management to objects containing the values to fill in for them when running model invocation. This field is ignored if you don't specify a prompt resource in the <code>modelId</code> field.</p>
     pub fn get_prompt_variables(
         &self,
     ) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::PromptVariableValues>> {
         &self.prompt_variables
--
+    }
     /// Appends an item to `additional_model_response_field_paths`.
     ///
     /// To override the contents of this collection use [`set_additional_model_response_field_paths`](Self::set_additional_model_response_field_paths).
     ///
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> and <code>ConverseStream</code> return the requested fields as a JSON Pointer object in the <code>additionalModelResponseFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> returns the requested fields as a JSON Pointer object in the <code>additionalModelResultFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p><code>\[ "/stop_sequence" \]</code></p>
     /// <p>For information about the JSON Pointer syntax, see the <a href="https://datatracker.ietf.org/doc/html/rfc6901">Internet Engineering Task Force (IETF)</a> documentation.</p>
     /// <p><code>Converse</code> and <code>ConverseStream</code> reject an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     /// <p><code>Converse</code> rejects an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     pub fn additional_model_response_field_paths(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         let mut v = self.additional_model_response_field_paths.unwrap_or_default();
         v.push(input.into());
         self.additional_model_response_field_paths = ::std::option::Option::Some(v);
         self
-248
+    }
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> and <code>ConverseStream</code> return the requested fields as a JSON Pointer object in the <code>additionalModelResponseFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> returns the requested fields as a JSON Pointer object in the <code>additionalModelResultFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p><code>\[ "/stop_sequence" \]</code></p>
     /// <p>For information about the JSON Pointer syntax, see the <a href="https://datatracker.ietf.org/doc/html/rfc6901">Internet Engineering Task Force (IETF)</a> documentation.</p>
     /// <p><code>Converse</code> and <code>ConverseStream</code> reject an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     /// <p><code>Converse</code> rejects an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     pub fn set_additional_model_response_field_paths(mut self, input: ::std::option::Option<::std::vec::Vec<::std::string::String>>) -> Self {
         self.additional_model_response_field_paths = input;
         self
-256
+    }
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> and <code>ConverseStream</code> return the requested fields as a JSON Pointer object in the <code>additionalModelResponseFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> returns the requested fields as a JSON Pointer object in the <code>additionalModelResultFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p><code>\[ "/stop_sequence" \]</code></p>
     /// <p>For information about the JSON Pointer syntax, see the <a href="https://datatracker.ietf.org/doc/html/rfc6901">Internet Engineering Task Force (IETF)</a> documentation.</p>
     /// <p><code>Converse</code> and <code>ConverseStream</code> reject an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     /// <p><code>Converse</code> rejects an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     pub fn get_additional_model_response_field_paths(&self) -> &::std::option::Option<::std::vec::Vec<::std::string::String>> {
         &self.additional_model_response_field_paths
-263
+    }
     /// Adds a key-value pair to `request_metadata`.
     ///
     /// To override the contents of this collection use [`set_request_metadata`](Self::set_request_metadata).
     ///
     /// <p>Key-value pairs that you can use to filter invocation logs.</p>
     pub fn request_metadata(
         mut self,
         k: impl ::std::convert::Into<::std::string::String>,
         v: impl ::std::convert::Into<::std::string::String>,
     ) -> Self {
         let mut hash_map = self.request_metadata.unwrap_or_default();
         hash_map.insert(k.into(), v.into());
         self.request_metadata = ::std::option::Option::Some(hash_map);
         self
--
+    }
     /// <p>Key-value pairs that you can use to filter invocation logs.</p>
     pub fn set_request_metadata(
         mut self,
         input: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
     ) -> Self {
         self.request_metadata = input;
         self
--
+    }
     /// <p>Key-value pairs that you can use to filter invocation logs.</p>
     pub fn get_request_metadata(&self) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>> {
         &self.request_metadata
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn performance_config(mut self, input: crate::types::PerformanceConfiguration) -> Self {
         self.performance_config = ::std::option::Option::Some(input);
         self
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn set_performance_config(mut self, input: ::std::option::Option<crate::types::PerformanceConfiguration>) -> Self {
         self.performance_config = input;
         self
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn get_performance_config(&self) -> &::std::option::Option<crate::types::PerformanceConfiguration> {
         &self.performance_config
--
+    }
     /// Consumes the builder and constructs a [`ConverseInput`](crate::operation::converse::ConverseInput).
     pub fn build(self) -> ::std::result::Result<crate::operation::converse::ConverseInput, ::aws_smithy_types::error::operation::BuildError> {
         ::std::result::Result::Ok(crate::operation::converse::ConverseInput {
             model_id: self.model_id,
             messages: self.messages,
             system: self.system,
             inference_config: self.inference_config,
             tool_config: self.tool_config,
             guardrail_config: self.guardrail_config,
             additional_model_request_fields: self.additional_model_request_fields,
             prompt_variables: self.prompt_variables,
             additional_model_response_field_paths: self.additional_model_response_field_paths,
             request_metadata: self.request_metadata,
             performance_config: self.performance_config,
         })
-275
+    }
-276
+}
 impl ::std::fmt::Debug for ConverseInputBuilder {
     fn fmt(&self, f: &mut ::std::fmt::Formatter<'_>) -> ::std::fmt::Result {
         let mut formatter = f.debug_struct("ConverseInputBuilder");
         formatter.field("model_id", &self.model_id);
         formatter.field("messages", &self.messages);
         formatter.field("system", &self.system);
         formatter.field("inference_config", &self.inference_config);
         formatter.field("tool_config", &self.tool_config);
         formatter.field("guardrail_config", &self.guardrail_config);
         formatter.field("additional_model_request_fields", &self.additional_model_request_fields);
         formatter.field("prompt_variables", &"*** Sensitive Data Redacted ***");
         formatter.field("additional_model_response_field_paths", &self.additional_model_response_field_paths);
         formatter.field("request_metadata", &"*** Sensitive Data Redacted ***");
         formatter.field("performance_config", &self.performance_config);
         formatter.finish()
--
+    }
--
+}

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

@@ -1,1 +104,90 @@

↥ Expand context

 // 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, ::std::fmt::Debug)]
 pub struct ConverseOutput {

     /// <p>The result from the call to <code>Converse</code>.</p>
     pub output: ::std::option::Option<crate::types::ConverseOutput>,
     /// <p>The reason why the model stopped generating output.</p>
     pub stop_reason: crate::types::StopReason,
     /// <p>The total number of tokens used in the call to <code>Converse</code>. The total includes the tokens input to the model and the tokens generated by the model.</p>
     pub usage: ::std::option::Option<crate::types::TokenUsage>,
     /// <p>Metrics for the call to <code>Converse</code>.</p>
     pub metrics: ::std::option::Option<crate::types::ConverseMetrics>,
     /// <p>Additional fields in the response that are unique to the model.</p>
     pub additional_model_response_fields: ::std::option::Option<::aws_smithy_types::Document>,
     /// <p>A trace object that contains information about the Guardrail behavior.</p>
     pub trace: ::std::option::Option<crate::types::ConverseTrace>,
     /// <p>Model performance settings for the request.</p>
     pub performance_config: ::std::option::Option<crate::types::PerformanceConfiguration>,
     _request_id: Option<String>,
-17
+}
 impl ConverseOutput {
     /// <p>The result from the call to <code>Converse</code>.</p>
     pub fn output(&self) -> ::std::option::Option<&crate::types::ConverseOutput> {
         self.output.as_ref()
-22
+    }
     /// <p>The reason why the model stopped generating output.</p>
     pub fn stop_reason(&self) -> &crate::types::StopReason {
         &self.stop_reason
-26
+    }
     /// <p>The total number of tokens used in the call to <code>Converse</code>. The total includes the tokens input to the model and the tokens generated by the model.</p>
     pub fn usage(&self) -> ::std::option::Option<&crate::types::TokenUsage> {
         self.usage.as_ref()
-30
+    }
     /// <p>Metrics for the call to <code>Converse</code>.</p>
     pub fn metrics(&self) -> ::std::option::Option<&crate::types::ConverseMetrics> {
         self.metrics.as_ref()
-34
+    }
     /// <p>Additional fields in the response that are unique to the model.</p>
     pub fn additional_model_response_fields(&self) -> ::std::option::Option<&::aws_smithy_types::Document> {
         self.additional_model_response_fields.as_ref()
-38
+    }
     /// <p>A trace object that contains information about the Guardrail behavior.</p>
     pub fn trace(&self) -> ::std::option::Option<&crate::types::ConverseTrace> {
         self.trace.as_ref()
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn performance_config(&self) -> ::std::option::Option<&crate::types::PerformanceConfiguration> {
         self.performance_config.as_ref()
--
+    }
-39
+}
 impl ::aws_types::request_id::RequestId for ConverseOutput {
     fn request_id(&self) -> Option<&str> {
         self._request_id.as_deref()
-43
+    }
-44
+}
 impl ConverseOutput {
     /// Creates a new builder-style object to manufacture [`ConverseOutput`](crate::operation::converse::ConverseOutput).
     pub fn builder() -> crate::operation::converse::builders::ConverseOutputBuilder {
         crate::operation::converse::builders::ConverseOutputBuilder::default()
-49
+    }
-50
+}
-51
 /// A builder for [`ConverseOutput`](crate::operation::converse::ConverseOutput).
 #[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
 #[non_exhaustive]
 pub struct ConverseOutputBuilder {
     pub(crate) output: ::std::option::Option<crate::types::ConverseOutput>,
     pub(crate) stop_reason: ::std::option::Option<crate::types::StopReason>,
     pub(crate) usage: ::std::option::Option<crate::types::TokenUsage>,
     pub(crate) metrics: ::std::option::Option<crate::types::ConverseMetrics>,
     pub(crate) additional_model_response_fields: ::std::option::Option<::aws_smithy_types::Document>,
     pub(crate) trace: ::std::option::Option<crate::types::ConverseTrace>,
     pub(crate) performance_config: ::std::option::Option<crate::types::PerformanceConfiguration>,
     _request_id: Option<String>,
-62
+}
 impl ConverseOutputBuilder {
     /// <p>The result from the call to <code>Converse</code>.</p>
     /// This field is required.
     pub fn output(mut self, input: crate::types::ConverseOutput) -> Self {
         self.output = ::std::option::Option::Some(input);
         self
-69
+    }
     /// <p>The result from the call to <code>Converse</code>.</p>

↧ Expand context

     pub fn set_output(mut self, input: ::std::option::Option<crate::types::ConverseOutput>) -> Self {
         self.output = input;
         self
-74
+    }
     /// <p>The result from the call to <code>Converse</code>.</p>
     pub fn get_output(&self) -> &::std::option::Option<crate::types::ConverseOutput> {
         &self.output
-78
+    }
     /// <p>The reason why the model stopped generating output.</p>
     /// This field is required.
     pub fn stop_reason(mut self, input: crate::types::StopReason) -> Self {
         self.stop_reason = ::std::option::Option::Some(input);
         self
-84
+    }
     /// <p>The reason why the model stopped generating output.</p>
     pub fn set_stop_reason(mut self, input: ::std::option::Option<crate::types::StopReason>) -> Self {
         self.stop_reason = input;
         self
-89
+    }
     /// <p>The reason why the model stopped generating output.</p>

@@ -122,108 +209,165 @@

↥ Expand context

-108
+    }
     /// <p>Metrics for the call to <code>Converse</code>.</p>
     /// This field is required.
     pub fn metrics(mut self, input: crate::types::ConverseMetrics) -> Self {
         self.metrics = ::std::option::Option::Some(input);
         self
-114
+    }
     /// <p>Metrics for the call to <code>Converse</code>.</p>
     pub fn set_metrics(mut self, input: ::std::option::Option<crate::types::ConverseMetrics>) -> Self {
         self.metrics = input;
         self
-119
+    }
     /// <p>Metrics for the call to <code>Converse</code>.</p>
     pub fn get_metrics(&self) -> &::std::option::Option<crate::types::ConverseMetrics> {
         &self.metrics
-123
+    }
     /// <p>Additional fields in the response that are unique to the model.</p>
     pub fn additional_model_response_fields(mut self, input: ::aws_smithy_types::Document) -> Self {
         self.additional_model_response_fields = ::std::option::Option::Some(input);
         self

-128
+    }
     /// <p>Additional fields in the response that are unique to the model.</p>
     pub fn set_additional_model_response_fields(mut self, input: ::std::option::Option<::aws_smithy_types::Document>) -> Self {
         self.additional_model_response_fields = input;
         self
-133
+    }
     /// <p>Additional fields in the response that are unique to the model.</p>
     pub fn get_additional_model_response_fields(&self) -> &::std::option::Option<::aws_smithy_types::Document> {
         &self.additional_model_response_fields
-137
+    }
     /// <p>A trace object that contains information about the Guardrail behavior.</p>
     pub fn trace(mut self, input: crate::types::ConverseTrace) -> Self {
         self.trace = ::std::option::Option::Some(input);
         self
--
+    }
     /// <p>A trace object that contains information about the Guardrail behavior.</p>
     pub fn set_trace(mut self, input: ::std::option::Option<crate::types::ConverseTrace>) -> Self {
         self.trace = input;
         self
--
+    }
     /// <p>A trace object that contains information about the Guardrail behavior.</p>
     pub fn get_trace(&self) -> &::std::option::Option<crate::types::ConverseTrace> {
         &self.trace
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn performance_config(mut self, input: crate::types::PerformanceConfiguration) -> Self {
         self.performance_config = ::std::option::Option::Some(input);
         self
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn set_performance_config(mut self, input: ::std::option::Option<crate::types::PerformanceConfiguration>) -> Self {
         self.performance_config = input;
         self
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn get_performance_config(&self) -> &::std::option::Option<crate::types::PerformanceConfiguration> {
         &self.performance_config
--
+    }
     pub(crate) fn _request_id(mut self, request_id: impl Into<String>) -> Self {
         self._request_id = Some(request_id.into());
         self
-141
+    }
-142
     pub(crate) fn _set_request_id(&mut self, request_id: Option<String>) -> &mut Self {
         self._request_id = request_id;
         self
-146
+    }
     /// Consumes the builder and constructs a [`ConverseOutput`](crate::operation::converse::ConverseOutput).
     /// This method will fail if any of the following fields are not set:
     /// - [`stop_reason`](crate::operation::converse::builders::ConverseOutputBuilder::stop_reason)
     pub fn build(self) -> ::std::result::Result<crate::operation::converse::ConverseOutput, ::aws_smithy_types::error::operation::BuildError> {
         ::std::result::Result::Ok(crate::operation::converse::ConverseOutput {
             output: self.output,
             stop_reason: self.stop_reason.ok_or_else(|| {
                 ::aws_smithy_types::error::operation::BuildError::missing_field(
                     "stop_reason",
                     "stop_reason was not specified but it is required when building ConverseOutput",
-157
+                )
             })?,
             usage: self.usage,
             metrics: self.metrics,
             additional_model_response_fields: self.additional_model_response_fields,
             trace: self.trace,
             performance_config: self.performance_config,
             _request_id: self._request_id,
         })
-164
+    }
-165
+}

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

@@ -1,1 +64,56 @@

↥ Expand context

 // Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
 pub use crate::operation::converse::_converse_output::ConverseOutputBuilder;
-3
 pub use crate::operation::converse::_converse_input::ConverseInputBuilder;
-5
 impl crate::operation::converse::builders::ConverseInputBuilder {
     /// Sends a request with this input using the given client.
     pub async fn send_with(
         self,
         client: &crate::Client,
     ) -> ::std::result::Result<
         crate::operation::converse::ConverseOutput,
         ::aws_smithy_runtime_api::client::result::SdkError<
             crate::operation::converse::ConverseError,

             ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
         >,
     > {
         let mut fluent_builder = client.converse();
         fluent_builder.inner = self;
         fluent_builder.send().await
-21
+    }
-22
+}
 /// Fluent builder constructing a request to `Converse`.
 ///
 /// <p>Sends messages to the specified Amazon Bedrock model. <code>Converse</code> provides a consistent interface that works with all models that support messages. This allows you to write code once and use it with different models. If a model has unique inference parameters, you can also pass those unique parameters to the model.</p>
 /// <p>Amazon Bedrock doesn't store any text, images, or documents that you provide as content. The data is only used to generate the response.</p>
 /// <p>You can submit a prompt by including it in the <code>messages</code> field, specifying the <code>modelId</code> of a foundation model or inference profile to run inference on it, and including any other fields that are relevant to your use case.</p>
 /// <p>You can also submit a prompt from Prompt management by specifying the ARN of the prompt version and including a map of variables to values in the <code>promptVariables</code> field. You can append more messages to the prompt by using the <code>messages</code> field. If you use a prompt from Prompt management, you can't include the following fields in the request: <code>additionalModelRequestFields</code>, <code>inferenceConfig</code>, <code>system</code>, or <code>toolConfig</code>. Instead, these fields must be defined through Prompt management. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management-use.html">Use a prompt from Prompt management</a>.</p>
 /// <p>For information about the Converse API, see <i>Use the Converse API</i> in the <i>Amazon Bedrock User Guide</i>. To use a guardrail, see <i>Use a guardrail with the Converse API</i> in the <i>Amazon Bedrock User Guide</i>. To use a tool with a model, see <i>Tool use (Function calling)</i> in the <i>Amazon Bedrock User Guide</i></p>
 /// <p>For example code, see <i>Converse API examples</i> in the <i>Amazon Bedrock User Guide</i>.</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 base inference actions (<a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_InvokeModel.html">InvokeModel</a> and <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_InvokeModelWithResponseStream.html">InvokeModelWithResponseStream</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>Converse</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>
 /// <p>Sends messages to the specified Amazon Bedrock model. <code>Converse</code> provides a consistent interface that works with all models that support messages. This allows you to write code once and use it with different models. Should a model have unique inference parameters, you can also pass those unique parameters to the model. 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>This operation requires permission for the <code>bedrock:InvokeModel</code> action.</p>
 #[derive(::std::clone::Clone, ::std::fmt::Debug)]
 pub struct ConverseFluentBuilder {
     handle: ::std::sync::Arc<crate::client::Handle>,
     inner: crate::operation::converse::builders::ConverseInputBuilder,
     config_override: ::std::option::Option<crate::config::Builder>,
-32
+}
 impl crate::client::customize::internal::CustomizableSend<crate::operation::converse::ConverseOutput, crate::operation::converse::ConverseError>
     for ConverseFluentBuilder
-35
+{
     fn send(

↧ Expand context

         self,
         config_override: crate::config::Builder,
     ) -> crate::client::customize::internal::BoxFuture<
         crate::client::customize::internal::SendResult<crate::operation::converse::ConverseOutput, crate::operation::converse::ConverseError>,
     > {
         ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
-43
+    }
-44
+}
 impl ConverseFluentBuilder {
     /// Creates a new `ConverseFluentBuilder`.
     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,
-52
+        }
-53
+    }
     /// Access the Converse as a reference.
     pub fn as_input(&self) -> &crate::operation::converse::builders::ConverseInputBuilder {
         &self.inner

@@ -81,73 +353,258 @@

↥ Expand context

         >,
     > {
         let input = self
             .inner
             .build()
             .map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
         let runtime_plugins = crate::operation::converse::Converse::operation_runtime_plugins(
             self.handle.runtime_plugins.clone(),
             &self.handle.conf,
             self.config_override,
         );
         crate::operation::converse::Converse::orchestrate(&runtime_plugins, input).await
-85
+    }
-86
     /// Consumes this builder, creating a customizable operation that can be modified before being sent.
     pub fn customize(
         self,
     ) -> crate::client::customize::CustomizableOperation<crate::operation::converse::ConverseOutput, crate::operation::converse::ConverseError, Self>
-91
+    {
         crate::client::customize::CustomizableOperation::new(self)

-93
+    }
     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
-97
+    }
-98
     pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
         self.config_override = config_override;
         self
-102
+    }
     /// <p>Specifies the model or throughput with which to run inference, or the prompt resource to use in inference. The value depends on the resource that you use:</p>
     /// <p>The identifier for the model that you want to call.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model 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>
     /// <li>
     /// <p>To include a prompt that was defined in <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html">Prompt management</a>, specify the ARN of the prompt version to use.</p></li>
     /// </ul>
     /// <p>The Converse API doesn't support <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported models</a>.</p>
     pub fn model_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.inner = self.inner.model_id(input.into());
         self
-116
+    }
     /// <p>Specifies the model or throughput with which to run inference, or the prompt resource to use in inference. The value depends on the resource that you use:</p>
     /// <p>The identifier for the model that you want to call.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model 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>
     /// <li>
     /// <p>To include a prompt that was defined in <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html">Prompt management</a>, specify the ARN of the prompt version to use.</p></li>
     /// </ul>
     /// <p>The Converse API doesn't support <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported models</a>.</p>
     pub fn set_model_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
         self.inner = self.inner.set_model_id(input);
         self
-130
+    }
     /// <p>Specifies the model or throughput with which to run inference, or the prompt resource to use in inference. The value depends on the resource that you use:</p>
     /// <p>The identifier for the model that you want to call.</p>
     /// <p>The <code>modelId</code> to provide depends on the type of model 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>
     /// <li>
     /// <p>To include a prompt that was defined in <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html">Prompt management</a>, specify the ARN of the prompt version to use.</p></li>
     /// </ul>
     /// <p>The Converse API doesn't support <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">imported models</a>.</p>
     pub fn get_model_id(&self) -> &::std::option::Option<::std::string::String> {
         self.inner.get_model_id()
-143
+    }
     ///
     /// Appends an item to `messages`.
     ///
     /// To override the contents of this collection use [`set_messages`](Self::set_messages).
     ///
     /// <p>The messages that you want to send to the model.</p>
     pub fn messages(mut self, input: crate::types::Message) -> Self {
         self.inner = self.inner.messages(input);
         self
-153
+    }
     /// <p>The messages that you want to send to the model.</p>
     pub fn set_messages(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Message>>) -> Self {
         self.inner = self.inner.set_messages(input);
         self
-158
+    }
     /// <p>The messages that you want to send to the model.</p>
     pub fn get_messages(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Message>> {
         self.inner.get_messages()
-162
+    }
     ///
     /// Appends an item to `system`.
     ///
     /// To override the contents of this collection use [`set_system`](Self::set_system).
     ///
     /// <p>A prompt that provides instructions or context to the model about the task it should perform, or the persona it should adopt during the conversation.</p>
     /// <p>A system prompt to pass to the model.</p>
     pub fn system(mut self, input: crate::types::SystemContentBlock) -> Self {
         self.inner = self.inner.system(input);
         self
-172
+    }
     /// <p>A prompt that provides instructions or context to the model about the task it should perform, or the persona it should adopt during the conversation.</p>
     /// <p>A system prompt to pass to the model.</p>
     pub fn set_system(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::SystemContentBlock>>) -> Self {
         self.inner = self.inner.set_system(input);
         self
-177
+    }
     /// <p>A prompt that provides instructions or context to the model about the task it should perform, or the persona it should adopt during the conversation.</p>
     /// <p>A system prompt to pass to the model.</p>
     pub fn get_system(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::SystemContentBlock>> {
         self.inner.get_system()
-181
+    }
     /// <p>Inference parameters to pass to the model. <code>Converse</code> and <code>ConverseStream</code> support a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     /// <p>Inference parameters to pass to the model. <code>Converse</code> supports a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     pub fn inference_config(mut self, input: crate::types::InferenceConfiguration) -> Self {
         self.inner = self.inner.inference_config(input);
         self
-186
+    }
     /// <p>Inference parameters to pass to the model. <code>Converse</code> and <code>ConverseStream</code> support a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     /// <p>Inference parameters to pass to the model. <code>Converse</code> supports a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     pub fn set_inference_config(mut self, input: ::std::option::Option<crate::types::InferenceConfiguration>) -> Self {
         self.inner = self.inner.set_inference_config(input);
         self
-191
+    }
     /// <p>Inference parameters to pass to the model. <code>Converse</code> and <code>ConverseStream</code> support a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     /// <p>Inference parameters to pass to the model. <code>Converse</code> supports a base set of inference parameters. If you need to pass additional parameters that the model supports, use the <code>additionalModelRequestFields</code> request field.</p>
     pub fn get_inference_config(&self) -> &::std::option::Option<crate::types::InferenceConfiguration> {
         self.inner.get_inference_config()
-195
+    }
     /// <p>Configuration information for the tools that the model can use when generating a response.</p>
     /// <p>For information about models that support tool use, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html#conversation-inference-supported-models-features">Supported models and model features</a>.</p>
     /// <p>Configuration information for the tools that the model can use when generating a response.</p><note>
     /// <p>This field is only supported by Anthropic Claude 3, Cohere Command R, Cohere Command R+, and Mistral Large models.</p>
     /// </note>
     pub fn tool_config(mut self, input: crate::types::ToolConfiguration) -> Self {
         self.inner = self.inner.tool_config(input);
         self
-202
+    }
     /// <p>Configuration information for the tools that the model can use when generating a response.</p>
     /// <p>For information about models that support tool use, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html#conversation-inference-supported-models-features">Supported models and model features</a>.</p>
     /// <p>Configuration information for the tools that the model can use when generating a response.</p><note>
     /// <p>This field is only supported by Anthropic Claude 3, Cohere Command R, Cohere Command R+, and Mistral Large models.</p>
     /// </note>
     pub fn set_tool_config(mut self, input: ::std::option::Option<crate::types::ToolConfiguration>) -> Self {
         self.inner = self.inner.set_tool_config(input);
         self
-209
+    }
     /// <p>Configuration information for the tools that the model can use when generating a response.</p>
     /// <p>For information about models that support tool use, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html#conversation-inference-supported-models-features">Supported models and model features</a>.</p>
     /// <p>Configuration information for the tools that the model can use when generating a response.</p><note>
     /// <p>This field is only supported by Anthropic Claude 3, Cohere Command R, Cohere Command R+, and Mistral Large models.</p>
     /// </note>
     pub fn get_tool_config(&self) -> &::std::option::Option<crate::types::ToolConfiguration> {
         self.inner.get_tool_config()
-215
+    }
     /// <p>Configuration information for a guardrail that you want to use in the request. If you include <code>guardContent</code> blocks in the <code>content</code> field in the <code>messages</code> field, the guardrail operates only on those messages. If you include no <code>guardContent</code> blocks, the guardrail operates on all messages in the request body and in any included prompt resource.</p>
     pub fn guardrail_config(mut self, input: crate::types::GuardrailConfiguration) -> Self {
         self.inner = self.inner.guardrail_config(input);
         self
--
+    }
     /// <p>Configuration information for a guardrail that you want to use in the request. If you include <code>guardContent</code> blocks in the <code>content</code> field in the <code>messages</code> field, the guardrail operates only on those messages. If you include no <code>guardContent</code> blocks, the guardrail operates on all messages in the request body and in any included prompt resource.</p>
     pub fn set_guardrail_config(mut self, input: ::std::option::Option<crate::types::GuardrailConfiguration>) -> Self {
         self.inner = self.inner.set_guardrail_config(input);
         self
--
+    }
     /// <p>Configuration information for a guardrail that you want to use in the request. If you include <code>guardContent</code> blocks in the <code>content</code> field in the <code>messages</code> field, the guardrail operates only on those messages. If you include no <code>guardContent</code> blocks, the guardrail operates on all messages in the request body and in any included prompt resource.</p>
     pub fn get_guardrail_config(&self) -> &::std::option::Option<crate::types::GuardrailConfiguration> {
         self.inner.get_guardrail_config()
--
+    }
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> and <code>ConverseStream</code> support in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> supports in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     pub fn additional_model_request_fields(mut self, input: ::aws_smithy_types::Document) -> Self {
         self.inner = self.inner.additional_model_request_fields(input);
         self
-220
+    }
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> and <code>ConverseStream</code> support in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> supports in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     pub fn set_additional_model_request_fields(mut self, input: ::std::option::Option<::aws_smithy_types::Document>) -> Self {
         self.inner = self.inner.set_additional_model_request_fields(input);
         self
-225
+    }
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> and <code>ConverseStream</code> support in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     /// <p>Additional inference parameters that the model supports, beyond the base set of inference parameters that <code>Converse</code> supports in the <code>inferenceConfig</code> field. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Model parameters</a>.</p>
     pub fn get_additional_model_request_fields(&self) -> &::std::option::Option<::aws_smithy_types::Document> {
         self.inner.get_additional_model_request_fields()
-229
+    }
     ///
     /// Adds a key-value pair to `promptVariables`.
     ///
     /// To override the contents of this collection use [`set_prompt_variables`](Self::set_prompt_variables).
     ///
     /// <p>Contains a map of variables in a prompt from Prompt management to objects containing the values to fill in for them when running model invocation. This field is ignored if you don't specify a prompt resource in the <code>modelId</code> field.</p>
     pub fn prompt_variables(mut self, k: impl ::std::convert::Into<::std::string::String>, v: crate::types::PromptVariableValues) -> Self {
         self.inner = self.inner.prompt_variables(k.into(), v);
         self
--
+    }
     /// <p>Contains a map of variables in a prompt from Prompt management to objects containing the values to fill in for them when running model invocation. This field is ignored if you don't specify a prompt resource in the <code>modelId</code> field.</p>
     pub fn set_prompt_variables(
         mut self,
         input: ::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::PromptVariableValues>>,
     ) -> Self {
         self.inner = self.inner.set_prompt_variables(input);
         self
--
+    }
     /// <p>Contains a map of variables in a prompt from Prompt management to objects containing the values to fill in for them when running model invocation. This field is ignored if you don't specify a prompt resource in the <code>modelId</code> field.</p>
     pub fn get_prompt_variables(
         &self,
     ) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, crate::types::PromptVariableValues>> {
         self.inner.get_prompt_variables()
--
+    }
     ///
     /// Appends an item to `additionalModelResponseFieldPaths`.
     ///
     /// To override the contents of this collection use [`set_additional_model_response_field_paths`](Self::set_additional_model_response_field_paths).
     ///
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> and <code>ConverseStream</code> return the requested fields as a JSON Pointer object in the <code>additionalModelResponseFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> returns the requested fields as a JSON Pointer object in the <code>additionalModelResultFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p><code>\[ "/stop_sequence" \]</code></p>
     /// <p>For information about the JSON Pointer syntax, see the <a href="https://datatracker.ietf.org/doc/html/rfc6901">Internet Engineering Task Force (IETF)</a> documentation.</p>
     /// <p><code>Converse</code> and <code>ConverseStream</code> reject an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     /// <p><code>Converse</code> rejects an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     pub fn additional_model_response_field_paths(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
         self.inner = self.inner.additional_model_response_field_paths(input.into());
         self
-242
+    }
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> and <code>ConverseStream</code> return the requested fields as a JSON Pointer object in the <code>additionalModelResponseFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> returns the requested fields as a JSON Pointer object in the <code>additionalModelResultFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p><code>\[ "/stop_sequence" \]</code></p>
     /// <p>For information about the JSON Pointer syntax, see the <a href="https://datatracker.ietf.org/doc/html/rfc6901">Internet Engineering Task Force (IETF)</a> documentation.</p>
     /// <p><code>Converse</code> and <code>ConverseStream</code> reject an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     /// <p><code>Converse</code> rejects an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     pub fn set_additional_model_response_field_paths(mut self, input: ::std::option::Option<::std::vec::Vec<::std::string::String>>) -> Self {
         self.inner = self.inner.set_additional_model_response_field_paths(input);
         self
-250
+    }
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> and <code>ConverseStream</code> return the requested fields as a JSON Pointer object in the <code>additionalModelResponseFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p>Additional model parameters field paths to return in the response. <code>Converse</code> returns the requested fields as a JSON Pointer object in the <code>additionalModelResultFields</code> field. The following is example JSON for <code>additionalModelResponseFieldPaths</code>.</p>
     /// <p><code>\[ "/stop_sequence" \]</code></p>
     /// <p>For information about the JSON Pointer syntax, see the <a href="https://datatracker.ietf.org/doc/html/rfc6901">Internet Engineering Task Force (IETF)</a> documentation.</p>
     /// <p><code>Converse</code> and <code>ConverseStream</code> reject an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     /// <p><code>Converse</code> rejects an empty JSON Pointer or incorrectly structured JSON Pointer with a <code>400</code> error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by <code>Converse</code>.</p>
     pub fn get_additional_model_response_field_paths(&self) -> &::std::option::Option<::std::vec::Vec<::std::string::String>> {
         self.inner.get_additional_model_response_field_paths()
-257
+    }
     ///
     /// Adds a key-value pair to `requestMetadata`.
     ///
     /// To override the contents of this collection use [`set_request_metadata`](Self::set_request_metadata).
     ///
     /// <p>Key-value pairs that you can use to filter invocation logs.</p>
     pub fn request_metadata(
         mut self,
         k: impl ::std::convert::Into<::std::string::String>,
         v: impl ::std::convert::Into<::std::string::String>,
     ) -> Self {
         self.inner = self.inner.request_metadata(k.into(), v.into());
         self
--
+    }
     /// <p>Key-value pairs that you can use to filter invocation logs.</p>
     pub fn set_request_metadata(
         mut self,
         input: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
     ) -> Self {
         self.inner = self.inner.set_request_metadata(input);
         self
--
+    }
     /// <p>Key-value pairs that you can use to filter invocation logs.</p>
     pub fn get_request_metadata(&self) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>> {
         self.inner.get_request_metadata()
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn performance_config(mut self, input: crate::types::PerformanceConfiguration) -> Self {
         self.inner = self.inner.performance_config(input);
         self
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn set_performance_config(mut self, input: ::std::option::Option<crate::types::PerformanceConfiguration>) -> Self {
         self.inner = self.inner.set_performance_config(input);
         self
--
+    }
     /// <p>Model performance settings for the request.</p>
     pub fn get_performance_config(&self) -> &::std::option::Option<crate::types::PerformanceConfiguration> {
         self.inner.get_performance_config()
--
+    }
-258
+}

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