aws_sdk_bedrock::operation::create_model_invocation_job::builders

Struct CreateModelInvocationJobFluentBuilder

pub struct CreateModelInvocationJobFluentBuilder { /* private fields */ }

Expand description

Fluent builder constructing a request to CreateModelInvocationJob.

Creates a batch inference job to invoke a model on multiple prompts. Format your data according to Format your inference data and upload it to an Amazon S3 bucket. For more information, see Process multiple prompts with batch inference.

The response returns a jobArn that you can use to stop or get details about the job.

Implementations§

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impl CreateModelInvocationJobFluentBuilder

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pub fn as_input(&self) -> &CreateModelInvocationJobInputBuilder

Access the CreateModelInvocationJob as a reference.

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pub async fn send( self, ) -> Result<CreateModelInvocationJobOutput, SdkError<CreateModelInvocationJobError, HttpResponse>>

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, which can be set when configuring the client.

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pub fn customize( self, ) -> CustomizableOperation<CreateModelInvocationJobOutput, CreateModelInvocationJobError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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pub fn job_name(self, input: impl Into<String>) -> Self

A name to give the batch inference job.

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pub fn set_job_name(self, input: Option<String>) -> Self

A name to give the batch inference job.

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pub fn get_job_name(&self) -> &Option<String>

A name to give the batch inference job.

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pub fn role_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the service role with permissions to carry out and manage batch inference. You can use the console to create a default service role or follow the steps at Create a service role for batch inference.

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pub fn set_role_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the service role with permissions to carry out and manage batch inference. You can use the console to create a default service role or follow the steps at Create a service role for batch inference.

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pub fn get_role_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the service role with permissions to carry out and manage batch inference. You can use the console to create a default service role or follow the steps at Create a service role for batch inference.

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pub fn client_request_token(self, input: impl Into<String>) -> Self

A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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pub fn set_client_request_token(self, input: Option<String>) -> Self

A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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pub fn get_client_request_token(&self) -> &Option<String>

A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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pub fn model_id(self, input: impl Into<String>) -> Self

The unique identifier of the foundation model to use for the batch inference job.

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pub fn set_model_id(self, input: Option<String>) -> Self

The unique identifier of the foundation model to use for the batch inference job.

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pub fn get_model_id(&self) -> &Option<String>

The unique identifier of the foundation model to use for the batch inference job.

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pub fn input_data_config(self, input: ModelInvocationJobInputDataConfig) -> Self

Details about the location of the input to the batch inference job.

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pub fn set_input_data_config( self, input: Option<ModelInvocationJobInputDataConfig>, ) -> Self

Details about the location of the input to the batch inference job.

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pub fn get_input_data_config( &self, ) -> &Option<ModelInvocationJobInputDataConfig>

Details about the location of the input to the batch inference job.

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pub fn output_data_config( self, input: ModelInvocationJobOutputDataConfig, ) -> Self

Details about the location of the output of the batch inference job.

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pub fn set_output_data_config( self, input: Option<ModelInvocationJobOutputDataConfig>, ) -> Self

Details about the location of the output of the batch inference job.

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pub fn get_output_data_config( &self, ) -> &Option<ModelInvocationJobOutputDataConfig>

Details about the location of the output of the batch inference job.

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pub fn vpc_config(self, input: VpcConfig) -> Self

The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see Protect batch inference jobs using a VPC.

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pub fn set_vpc_config(self, input: Option<VpcConfig>) -> Self

The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see Protect batch inference jobs using a VPC.

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pub fn get_vpc_config(&self) -> &Option<VpcConfig>

The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see Protect batch inference jobs using a VPC.

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pub fn timeout_duration_in_hours(self, input: i32) -> Self

The number of hours after which to force the batch inference job to time out.

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pub fn set_timeout_duration_in_hours(self, input: Option<i32>) -> Self

The number of hours after which to force the batch inference job to time out.

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pub fn get_timeout_duration_in_hours(&self) -> &Option<i32>

The number of hours after which to force the batch inference job to time out.

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pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

Any tags to associate with the batch inference job. For more information, see Tagging Amazon Bedrock resources.

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pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

Any tags to associate with the batch inference job. For more information, see Tagging Amazon Bedrock resources.

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pub fn get_tags(&self) -> &Option<Vec<Tag>>

Any tags to associate with the batch inference job. For more information, see Tagging Amazon Bedrock resources.

Trait Implementations§

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impl Clone for CreateModelInvocationJobFluentBuilder

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fn clone(&self) -> CreateModelInvocationJobFluentBuilder

Returns a duplicate of the value. Read more

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const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more

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impl Debug for CreateModelInvocationJobFluentBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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impl !UnwindSafe for CreateModelInvocationJobFluentBuilder

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Struct CreateModelInvocationJobFluentBuilderCopy item path

Implementations§

impl CreateModelInvocationJobFluentBuilder

pub fn as_input(&self) -> &CreateModelInvocationJobInputBuilder

pub async fn send( self, ) -> Result<CreateModelInvocationJobOutput, SdkError<CreateModelInvocationJobError, HttpResponse>>

pub fn customize( self, ) -> CustomizableOperation<CreateModelInvocationJobOutput, CreateModelInvocationJobError, Self>

pub fn job_name(self, input: impl Into<String>) -> Self

pub fn set_job_name(self, input: Option<String>) -> Self

pub fn get_job_name(&self) -> &Option<String>

pub fn role_arn(self, input: impl Into<String>) -> Self

pub fn set_role_arn(self, input: Option<String>) -> Self

pub fn get_role_arn(&self) -> &Option<String>

pub fn client_request_token(self, input: impl Into<String>) -> Self

pub fn set_client_request_token(self, input: Option<String>) -> Self

pub fn get_client_request_token(&self) -> &Option<String>

pub fn model_id(self, input: impl Into<String>) -> Self

pub fn set_model_id(self, input: Option<String>) -> Self

pub fn get_model_id(&self) -> &Option<String>

pub fn input_data_config(self, input: ModelInvocationJobInputDataConfig) -> Self

pub fn set_input_data_config( self, input: Option<ModelInvocationJobInputDataConfig>, ) -> Self

pub fn get_input_data_config( &self, ) -> &Option<ModelInvocationJobInputDataConfig>

pub fn output_data_config( self, input: ModelInvocationJobOutputDataConfig, ) -> Self

pub fn set_output_data_config( self, input: Option<ModelInvocationJobOutputDataConfig>, ) -> Self

pub fn get_output_data_config( &self, ) -> &Option<ModelInvocationJobOutputDataConfig>

pub fn vpc_config(self, input: VpcConfig) -> Self

pub fn set_vpc_config(self, input: Option<VpcConfig>) -> Self

pub fn get_vpc_config(&self) -> &Option<VpcConfig>

pub fn timeout_duration_in_hours(self, input: i32) -> Self

pub fn set_timeout_duration_in_hours(self, input: Option<i32>) -> Self

pub fn get_timeout_duration_in_hours(&self) -> &Option<i32>

pub fn tags(self, input: Tag) -> Self

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

pub fn get_tags(&self) -> &Option<Vec<Tag>>

Trait Implementations§

impl Clone for CreateModelInvocationJobFluentBuilder

fn clone(&self) -> CreateModelInvocationJobFluentBuilder

const fn clone_from(&mut self, source: &Self)

impl Debug for CreateModelInvocationJobFluentBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Auto Trait Implementations§

impl Freeze for CreateModelInvocationJobFluentBuilder

impl !RefUnwindSafe for CreateModelInvocationJobFluentBuilder

impl Send for CreateModelInvocationJobFluentBuilder

impl Sync for CreateModelInvocationJobFluentBuilder

impl Unpin for CreateModelInvocationJobFluentBuilder

impl !UnwindSafe for CreateModelInvocationJobFluentBuilder

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Struct CreateModelInvocationJobFluentBuilder

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where T: 'static + ?Sized,

impl<T> Borrow<T> for T
where T: ?Sized,

impl<T> BorrowMut<T> for T
where T: ?Sized,

impl<T> CloneToUninit for T
where T: Clone,

impl<T, U> Into<U> for T
where U: From<T>,

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

impl<T> Paint for T
where T: ?Sized,