Struct CreateCustomModelFluentBuilder

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pub struct CreateCustomModelFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to CreateCustomModel.

Creates a new custom model in Amazon Bedrock. After the model is active, you can use it for inference.

To use the model for inference, you must purchase Provisioned Throughput for it. You can't use On-demand inference with these custom models. For more information about Provisioned Throughput, see Provisioned Throughput.

The model appears in ListCustomModels with a customizationType of imported. To track the status of the new model, you use the GetCustomModel API operation. The model can be in the following states:

  • Creating - Initial state during validation and registration

  • Active - Model is ready for use in inference

  • Failed - Creation process encountered an error

Related APIs

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impl CreateCustomModelFluentBuilder

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pub fn as_input(&self) -> &CreateCustomModelInputBuilder

Access the CreateCustomModel as a reference.

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pub async fn send( self, ) -> Result<CreateCustomModelOutput, SdkError<CreateCustomModelError, 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<CreateCustomModelOutput, CreateCustomModelError, Self>

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

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

A unique name for the custom model.

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

A unique name for the custom model.

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

A unique name for the custom model.

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pub fn model_source_config(self, input: ModelDataSource) -> Self

The data source for the model. The Amazon S3 URI in the model source must be for the Amazon-managed Amazon S3 bucket containing your model artifacts.

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pub fn set_model_source_config(self, input: Option<ModelDataSource>) -> Self

The data source for the model. The Amazon S3 URI in the model source must be for the Amazon-managed Amazon S3 bucket containing your model artifacts.

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pub fn get_model_source_config(&self) -> &Option<ModelDataSource>

The data source for the model. The Amazon S3 URI in the model source must be for the Amazon-managed Amazon S3 bucket containing your model artifacts.

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

The Amazon Resource Name (ARN) of the customer managed KMS key to encrypt the custom model. If you don't provide a KMS key, Amazon Bedrock uses an Amazon Web Services-managed KMS key to encrypt the model.

If you provide a customer managed KMS key, your Amazon Bedrock service role must have permissions to use it. For more information see Encryption of imported models.

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

The Amazon Resource Name (ARN) of the customer managed KMS key to encrypt the custom model. If you don't provide a KMS key, Amazon Bedrock uses an Amazon Web Services-managed KMS key to encrypt the model.

If you provide a customer managed KMS key, your Amazon Bedrock service role must have permissions to use it. For more information see Encryption of imported models.

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

The Amazon Resource Name (ARN) of the customer managed KMS key to encrypt the custom model. If you don't provide a KMS key, Amazon Bedrock uses an Amazon Web Services-managed KMS key to encrypt the model.

If you provide a customer managed KMS key, your Amazon Bedrock service role must have permissions to use it. For more information see Encryption of imported models.

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

The Amazon Resource Name (ARN) of an IAM service role that Amazon Bedrock assumes to perform tasks on your behalf. This role must have permissions to access the Amazon S3 bucket containing your model artifacts and the KMS key (if specified). For more information, see Setting up an IAM service role for importing models in the Amazon Bedrock User Guide.

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

The Amazon Resource Name (ARN) of an IAM service role that Amazon Bedrock assumes to perform tasks on your behalf. This role must have permissions to access the Amazon S3 bucket containing your model artifacts and the KMS key (if specified). For more information, see Setting up an IAM service role for importing models in the Amazon Bedrock User Guide.

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

The Amazon Resource Name (ARN) of an IAM service role that Amazon Bedrock assumes to perform tasks on your behalf. This role must have permissions to access the Amazon S3 bucket containing your model artifacts and the KMS key (if specified). For more information, see Setting up an IAM service role for importing models in the Amazon Bedrock User Guide.

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

Appends an item to modelTags.

To override the contents of this collection use set_model_tags.

A list of key-value pairs to associate with the custom model resource. You can use these tags to organize and identify your resources.

For more information, see Tagging resources in the Amazon Bedrock User Guide.

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

A list of key-value pairs to associate with the custom model resource. You can use these tags to organize and identify your resources.

For more information, see Tagging resources in the Amazon Bedrock User Guide.

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

A list of key-value pairs to associate with the custom model resource. You can use these tags to organize and identify your resources.

For more information, see Tagging resources in the Amazon Bedrock User Guide.

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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.

Trait Implementations§

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impl Clone for CreateCustomModelFluentBuilder

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fn clone(&self) -> CreateCustomModelFluentBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for CreateCustomModelFluentBuilder

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

Formats the value using the given formatter. Read more

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