# frozen_string_literal: true

# WARNING ABOUT GENERATED CODE
#
# This file is generated. See the contributing guide for more information:
# https://github.com/aws/aws-sdk-ruby/blob/version-3/CONTRIBUTING.md
#
# WARNING ABOUT GENERATED CODE

module Aws::Bedrock
  module Types

    # The request is denied because of missing access permissions.
    #
    # @!attribute [rw] message
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/AccessDeniedException AWS API Documentation
    #
    class AccessDeniedException < Struct.new(
      :message)
      SENSITIVE = []
      include Aws::Structure
    end

    # Use to specify a automatic model evaluation job. The
    # `EvaluationDatasetMetricConfig` object is used to specify the prompt
    # datasets, task type, and metric names.
    #
    # @!attribute [rw] dataset_metric_configs
    #   Specifies the required elements for an automatic model evaluation
    #   job.
    #   @return [Array<Types::EvaluationDatasetMetricConfig>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/AutomatedEvaluationConfig AWS API Documentation
    #
    class AutomatedEvaluationConfig < Struct.new(
      :dataset_metric_configs)
      SENSITIVE = []
      include Aws::Structure
    end

    # CloudWatch logging configuration.
    #
    # @!attribute [rw] log_group_name
    #   The log group name.
    #   @return [String]
    #
    # @!attribute [rw] role_arn
    #   The role Amazon Resource Name (ARN).
    #   @return [String]
    #
    # @!attribute [rw] large_data_delivery_s3_config
    #   S3 configuration for delivering a large amount of data.
    #   @return [Types::S3Config]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CloudWatchConfig AWS API Documentation
    #
    class CloudWatchConfig < Struct.new(
      :log_group_name,
      :role_arn,
      :large_data_delivery_s3_config)
      SENSITIVE = []
      include Aws::Structure
    end

    # Error occurred because of a conflict while performing an operation.
    #
    # @!attribute [rw] message
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ConflictException AWS API Documentation
    #
    class ConflictException < Struct.new(
      :message)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] job_name
    #   The name of the model evaluation job. Model evaluation job names
    #   must unique with your AWS account, and your account's AWS region.
    #   @return [String]
    #
    # @!attribute [rw] job_description
    #   A description of the model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] client_request_token
    #   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][1].
    #
    #   **A suitable default value is auto-generated.** You should normally
    #   not need to pass this option.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html
    #   @return [String]
    #
    # @!attribute [rw] role_arn
    #   The Amazon Resource Name (ARN) of an IAM service role that Amazon
    #   Bedrock can assume to perform tasks on your behalf. The service role
    #   must have Amazon Bedrock as the service principal, and provide
    #   access to any Amazon S3 buckets specified in the `EvaluationConfig`
    #   object. To pass this role to Amazon Bedrock, the caller of this API
    #   must have the `iam:PassRole` permission. To learn more about the
    #   required permissions, see [Required permissions][1].
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/model-evaluation-security.html
    #   @return [String]
    #
    # @!attribute [rw] customer_encryption_key_id
    #   Specify your customer managed key ARN that will be used to encrypt
    #   your model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] job_tags
    #   Tags to attach to the model evaluation job.
    #   @return [Array<Types::Tag>]
    #
    # @!attribute [rw] evaluation_config
    #   Specifies whether the model evaluation job is automatic or uses
    #   human worker.
    #   @return [Types::EvaluationConfig]
    #
    # @!attribute [rw] inference_config
    #   Specify the models you want to use in your model evaluation job.
    #   Automatic model evaluation jobs support a single model, and model
    #   evaluation job that use human workers support two models.
    #   @return [Types::EvaluationInferenceConfig]
    #
    # @!attribute [rw] output_data_config
    #   An object that defines where the results of model evaluation job
    #   will be saved in Amazon S3.
    #   @return [Types::EvaluationOutputDataConfig]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CreateEvaluationJobRequest AWS API Documentation
    #
    class CreateEvaluationJobRequest < Struct.new(
      :job_name,
      :job_description,
      :client_request_token,
      :role_arn,
      :customer_encryption_key_id,
      :job_tags,
      :evaluation_config,
      :inference_config,
      :output_data_config)
      SENSITIVE = [:job_description]
      include Aws::Structure
    end

    # @!attribute [rw] job_arn
    #   The ARN of the model evaluation job.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CreateEvaluationJobResponse AWS API Documentation
    #
    class CreateEvaluationJobResponse < Struct.new(
      :job_arn)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] name
    #   The name to give the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] description
    #   A description of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] topic_policy_config
    #   The topic policies to configure for the guardrail.
    #   @return [Types::GuardrailTopicPolicyConfig]
    #
    # @!attribute [rw] content_policy_config
    #   The content filter policies to configure for the guardrail.
    #   @return [Types::GuardrailContentPolicyConfig]
    #
    # @!attribute [rw] word_policy_config
    #   The word policy you configure for the guardrail.
    #   @return [Types::GuardrailWordPolicyConfig]
    #
    # @!attribute [rw] sensitive_information_policy_config
    #   The sensitive information policy to configure for the guardrail.
    #   @return [Types::GuardrailSensitiveInformationPolicyConfig]
    #
    # @!attribute [rw] blocked_input_messaging
    #   The message to return when the guardrail blocks a prompt.
    #   @return [String]
    #
    # @!attribute [rw] blocked_outputs_messaging
    #   The message to return when the guardrail blocks a model response.
    #   @return [String]
    #
    # @!attribute [rw] kms_key_id
    #   The ARN of the KMS key that you use to encrypt the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] tags
    #   The tags that you want to attach to the guardrail.
    #   @return [Array<Types::Tag>]
    #
    # @!attribute [rw] client_request_token
    #   A unique, case-sensitive identifier to ensure that the API request
    #   completes no more than once. If this token matches a previous
    #   request, Amazon Bedrock ignores the request, but does not return an
    #   error. For more information, see [Ensuring idempotency][1] in the
    #   *Amazon S3 User Guide*.
    #
    #   **A suitable default value is auto-generated.** You should normally
    #   not need to pass this option.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CreateGuardrailRequest AWS API Documentation
    #
    class CreateGuardrailRequest < Struct.new(
      :name,
      :description,
      :topic_policy_config,
      :content_policy_config,
      :word_policy_config,
      :sensitive_information_policy_config,
      :blocked_input_messaging,
      :blocked_outputs_messaging,
      :kms_key_id,
      :tags,
      :client_request_token)
      SENSITIVE = [:name, :description, :blocked_input_messaging, :blocked_outputs_messaging]
      include Aws::Structure
    end

    # @!attribute [rw] guardrail_id
    #   The unique identifier of the guardrail that was created.
    #   @return [String]
    #
    # @!attribute [rw] guardrail_arn
    #   The ARN of the guardrail that was created.
    #   @return [String]
    #
    # @!attribute [rw] version
    #   The version of the guardrail that was created. This value should be
    #   1.
    #   @return [String]
    #
    # @!attribute [rw] created_at
    #   The time at which the guardrail was created.
    #   @return [Time]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CreateGuardrailResponse AWS API Documentation
    #
    class CreateGuardrailResponse < Struct.new(
      :guardrail_id,
      :guardrail_arn,
      :version,
      :created_at)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] guardrail_identifier
    #   The unique identifier of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] description
    #   A description of the guardrail version.
    #   @return [String]
    #
    # @!attribute [rw] client_request_token
    #   A unique, case-sensitive identifier to ensure that the API request
    #   completes no more than once. If this token matches a previous
    #   request, Amazon Bedrock ignores the request, but does not return an
    #   error. For more information, see [Ensuring idempotency][1] in the
    #   *Amazon S3 User Guide*.
    #
    #   **A suitable default value is auto-generated.** You should normally
    #   not need to pass this option.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CreateGuardrailVersionRequest AWS API Documentation
    #
    class CreateGuardrailVersionRequest < Struct.new(
      :guardrail_identifier,
      :description,
      :client_request_token)
      SENSITIVE = [:description]
      include Aws::Structure
    end

    # @!attribute [rw] guardrail_id
    #   The unique identifier of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] version
    #   The number of the version of the guardrail.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CreateGuardrailVersionResponse AWS API Documentation
    #
    class CreateGuardrailVersionResponse < Struct.new(
      :guardrail_id,
      :version)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] job_name
    #   A name for the fine-tuning job.
    #   @return [String]
    #
    # @!attribute [rw] custom_model_name
    #   A name for the resulting custom model.
    #   @return [String]
    #
    # @!attribute [rw] role_arn
    #   The Amazon Resource Name (ARN) of an IAM service role that Amazon
    #   Bedrock can assume to perform tasks on your behalf. For example,
    #   during model training, Amazon Bedrock needs your permission to read
    #   input data from an S3 bucket, write model artifacts to an S3 bucket.
    #   To pass this role to Amazon Bedrock, the caller of this API must
    #   have the `iam:PassRole` permission.
    #   @return [String]
    #
    # @!attribute [rw] client_request_token
    #   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][1].
    #
    #   **A suitable default value is auto-generated.** You should normally
    #   not need to pass this option.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html
    #   @return [String]
    #
    # @!attribute [rw] base_model_identifier
    #   Name of the base model.
    #   @return [String]
    #
    # @!attribute [rw] customization_type
    #   The customization type.
    #   @return [String]
    #
    # @!attribute [rw] custom_model_kms_key_id
    #   The custom model is encrypted at rest using this key.
    #   @return [String]
    #
    # @!attribute [rw] job_tags
    #   Tags to attach to the job.
    #   @return [Array<Types::Tag>]
    #
    # @!attribute [rw] custom_model_tags
    #   Tags to attach to the resulting custom model.
    #   @return [Array<Types::Tag>]
    #
    # @!attribute [rw] training_data_config
    #   Information about the training dataset.
    #   @return [Types::TrainingDataConfig]
    #
    # @!attribute [rw] validation_data_config
    #   Information about the validation dataset.
    #   @return [Types::ValidationDataConfig]
    #
    # @!attribute [rw] output_data_config
    #   S3 location for the output data.
    #   @return [Types::OutputDataConfig]
    #
    # @!attribute [rw] hyper_parameters
    #   Parameters related to tuning the model. For details on the format
    #   for different models, see [Custom model hyperparameters][1].
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models-hp.html
    #   @return [Hash<String,String>]
    #
    # @!attribute [rw] vpc_config
    #   VPC configuration (optional). Configuration parameters for the
    #   private Virtual Private Cloud (VPC) that contains the resources you
    #   are using for this job.
    #   @return [Types::VpcConfig]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CreateModelCustomizationJobRequest AWS API Documentation
    #
    class CreateModelCustomizationJobRequest < Struct.new(
      :job_name,
      :custom_model_name,
      :role_arn,
      :client_request_token,
      :base_model_identifier,
      :customization_type,
      :custom_model_kms_key_id,
      :job_tags,
      :custom_model_tags,
      :training_data_config,
      :validation_data_config,
      :output_data_config,
      :hyper_parameters,
      :vpc_config)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] job_arn
    #   Amazon Resource Name (ARN) of the fine tuning job
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CreateModelCustomizationJobResponse AWS API Documentation
    #
    class CreateModelCustomizationJobResponse < Struct.new(
      :job_arn)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] client_request_token
    #   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][1] in the
    #   Amazon S3 User Guide.
    #
    #   **A suitable default value is auto-generated.** You should normally
    #   not need to pass this option.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html
    #   @return [String]
    #
    # @!attribute [rw] model_units
    #   Number of model units to allocate. A model unit delivers a specific
    #   throughput level for the specified model. The throughput level of a
    #   model unit specifies the total number of input and output tokens
    #   that it can process and generate within a span of one minute. By
    #   default, your account has no model units for purchasing Provisioned
    #   Throughputs with commitment. You must first visit the [Amazon Web
    #   Services support center][1] to request MUs.
    #
    #   For model unit quotas, see [Provisioned Throughput quotas][2] in the
    #   Amazon Bedrock User Guide.
    #
    #   For more information about what an MU specifies, contact your Amazon
    #   Web Services account manager.
    #
    #
    #
    #   [1]: https://console.aws.amazon.com/support/home#/case/create?issueType=service-limit-increase
    #   [2]: https://docs.aws.amazon.com/bedrock/latest/userguide/quotas.html#prov-thru-quotas
    #   @return [Integer]
    #
    # @!attribute [rw] provisioned_model_name
    #   The name for this Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] model_id
    #   The Amazon Resource Name (ARN) or name of the model to associate
    #   with this Provisioned Throughput. For a list of models for which you
    #   can purchase Provisioned Throughput, see [Amazon Bedrock model IDs
    #   for purchasing Provisioned Throughput][1] in the Amazon Bedrock User
    #   Guide.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#prov-throughput-models
    #   @return [String]
    #
    # @!attribute [rw] commitment_duration
    #   The commitment duration requested for the Provisioned Throughput.
    #   Billing occurs hourly and is discounted for longer commitment terms.
    #   To request a no-commit Provisioned Throughput, omit this field.
    #
    #   Custom models support all levels of commitment. To see which base
    #   models support no commitment, see [Supported regions and models for
    #   Provisioned Throughput][1] in the Amazon Bedrock User Guide
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/pt-supported.html
    #   @return [String]
    #
    # @!attribute [rw] tags
    #   Tags to associate with this Provisioned Throughput.
    #   @return [Array<Types::Tag>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CreateProvisionedModelThroughputRequest AWS API Documentation
    #
    class CreateProvisionedModelThroughputRequest < Struct.new(
      :client_request_token,
      :model_units,
      :provisioned_model_name,
      :model_id,
      :commitment_duration,
      :tags)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] provisioned_model_arn
    #   The Amazon Resource Name (ARN) for this Provisioned Throughput.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CreateProvisionedModelThroughputResponse AWS API Documentation
    #
    class CreateProvisionedModelThroughputResponse < Struct.new(
      :provisioned_model_arn)
      SENSITIVE = []
      include Aws::Structure
    end

    # Summary information for a custom model.
    #
    # @!attribute [rw] model_arn
    #   The Amazon Resource Name (ARN) of the custom model.
    #   @return [String]
    #
    # @!attribute [rw] model_name
    #   The name of the custom model.
    #   @return [String]
    #
    # @!attribute [rw] creation_time
    #   Creation time of the model.
    #   @return [Time]
    #
    # @!attribute [rw] base_model_arn
    #   The base model Amazon Resource Name (ARN).
    #   @return [String]
    #
    # @!attribute [rw] base_model_name
    #   The base model name.
    #   @return [String]
    #
    # @!attribute [rw] customization_type
    #   Specifies whether to carry out continued pre-training of a model or
    #   whether to fine-tune it. For more information, see [Custom
    #   models][1].
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models.html
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/CustomModelSummary AWS API Documentation
    #
    class CustomModelSummary < Struct.new(
      :model_arn,
      :model_name,
      :creation_time,
      :base_model_arn,
      :base_model_name,
      :customization_type)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] model_identifier
    #   Name of the model to delete.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/DeleteCustomModelRequest AWS API Documentation
    #
    class DeleteCustomModelRequest < Struct.new(
      :model_identifier)
      SENSITIVE = []
      include Aws::Structure
    end

    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/DeleteCustomModelResponse AWS API Documentation
    #
    class DeleteCustomModelResponse < Aws::EmptyStructure; end

    # @!attribute [rw] guardrail_identifier
    #   The unique identifier of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] guardrail_version
    #   The version of the guardrail.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/DeleteGuardrailRequest AWS API Documentation
    #
    class DeleteGuardrailRequest < Struct.new(
      :guardrail_identifier,
      :guardrail_version)
      SENSITIVE = []
      include Aws::Structure
    end

    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/DeleteGuardrailResponse AWS API Documentation
    #
    class DeleteGuardrailResponse < Aws::EmptyStructure; end

    # @api private
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/DeleteModelInvocationLoggingConfigurationRequest AWS API Documentation
    #
    class DeleteModelInvocationLoggingConfigurationRequest < Aws::EmptyStructure; end

    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/DeleteModelInvocationLoggingConfigurationResponse AWS API Documentation
    #
    class DeleteModelInvocationLoggingConfigurationResponse < Aws::EmptyStructure; end

    # @!attribute [rw] provisioned_model_id
    #   The Amazon Resource Name (ARN) or name of the Provisioned
    #   Throughput.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/DeleteProvisionedModelThroughputRequest AWS API Documentation
    #
    class DeleteProvisionedModelThroughputRequest < Struct.new(
      :provisioned_model_id)
      SENSITIVE = []
      include Aws::Structure
    end

    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/DeleteProvisionedModelThroughputResponse AWS API Documentation
    #
    class DeleteProvisionedModelThroughputResponse < Aws::EmptyStructure; end

    # Contains the ARN of the Amazon Bedrock models specified in your model
    # evaluation job. Each Amazon Bedrock model supports different
    # `inferenceParams`. To learn more about supported inference parameters
    # for Amazon Bedrock models, see [Inference parameters for foundation
    # models][1].
    #
    # The `inferenceParams` are specified using JSON. To successfully insert
    # JSON as string make sure that all quotations are properly escaped. For
    # example, `"temperature":"0.25"` key value pair would need to be
    # formatted as `"temperature":"0.25"` to successfully accepted in
    # the request.
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/model-evaluation-prompt-datasets-custom.html
    #
    # @!attribute [rw] model_identifier
    #   The ARN of the Amazon Bedrock model specified.
    #   @return [String]
    #
    # @!attribute [rw] inference_params
    #   Each Amazon Bedrock support different inference parameters that
    #   change how the model behaves during inference.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/EvaluationBedrockModel AWS API Documentation
    #
    class EvaluationBedrockModel < Struct.new(
      :model_identifier,
      :inference_params)
      SENSITIVE = [:inference_params]
      include Aws::Structure
    end

    # Used to specify either a `AutomatedEvaluationConfig` or
    # `HumanEvaluationConfig` object.
    #
    # @note EvaluationConfig is a union - when making an API calls you must set exactly one of the members.
    #
    # @note EvaluationConfig is a union - when returned from an API call exactly one value will be set and the returned type will be a subclass of EvaluationConfig corresponding to the set member.
    #
    # @!attribute [rw] automated
    #   Used to specify an automated model evaluation job. See
    #   `AutomatedEvaluationConfig` to view the required parameters.
    #   @return [Types::AutomatedEvaluationConfig]
    #
    # @!attribute [rw] human
    #   Used to specify a model evaluation job that uses human workers.See
    #   `HumanEvaluationConfig` to view the required parameters.
    #   @return [Types::HumanEvaluationConfig]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/EvaluationConfig AWS API Documentation
    #
    class EvaluationConfig < Struct.new(
      :automated,
      :human,
      :unknown)
      SENSITIVE = []
      include Aws::Structure
      include Aws::Structure::Union

      class Automated < EvaluationConfig; end
      class Human < EvaluationConfig; end
      class Unknown < EvaluationConfig; end
    end

    # Used to specify the name of a built-in prompt dataset and optionally,
    # the Amazon S3 bucket where a custom prompt dataset is saved.
    #
    # @!attribute [rw] name
    #   Used to specify supported built-in prompt datasets. Valid values are
    #   `Builtin.Bold`, `Builtin.BoolQ`, `Builtin.NaturalQuestions`,
    #   `Builtin.Gigaword`, `Builtin.RealToxicityPrompts`,
    #   `Builtin.TriviaQa`, `Builtin.T-Rex`,
    #   `Builtin.WomensEcommerceClothingReviews` and `Builtin.Wikitext2`.
    #   @return [String]
    #
    # @!attribute [rw] dataset_location
    #   For custom prompt datasets, you must specify the location in Amazon
    #   S3 where the prompt dataset is saved.
    #   @return [Types::EvaluationDatasetLocation]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/EvaluationDataset AWS API Documentation
    #
    class EvaluationDataset < Struct.new(
      :name,
      :dataset_location)
      SENSITIVE = [:name]
      include Aws::Structure
    end

    # The location in Amazon S3 where your prompt dataset is stored.
    #
    # @note EvaluationDatasetLocation is a union - when making an API calls you must set exactly one of the members.
    #
    # @note EvaluationDatasetLocation is a union - when returned from an API call exactly one value will be set and the returned type will be a subclass of EvaluationDatasetLocation corresponding to the set member.
    #
    # @!attribute [rw] s3_uri
    #   The S3 URI of the S3 bucket specified in the job.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/EvaluationDatasetLocation AWS API Documentation
    #
    class EvaluationDatasetLocation < Struct.new(
      :s3_uri,
      :unknown)
      SENSITIVE = []
      include Aws::Structure
      include Aws::Structure::Union

      class S3Uri < EvaluationDatasetLocation; end
      class Unknown < EvaluationDatasetLocation; end
    end

    # Defines the built-in prompt datasets, built-in metric names and custom
    # metric names, and the task type.
    #
    # @!attribute [rw] task_type
    #   The task type you want the model to carry out.
    #   @return [String]
    #
    # @!attribute [rw] dataset
    #   Specifies the prompt dataset.
    #   @return [Types::EvaluationDataset]
    #
    # @!attribute [rw] metric_names
    #   The names of the metrics used. For automated model evaluation jobs
    #   valid values are `"Builtin.Accuracy"`, `"Builtin.Robustness"`, and
    #   `"Builtin.Toxicity"`. In human-based model evaluation jobs the array
    #   of strings must match the `name` parameter specified in
    #   `HumanEvaluationCustomMetric`.
    #   @return [Array<String>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/EvaluationDatasetMetricConfig AWS API Documentation
    #
    class EvaluationDatasetMetricConfig < Struct.new(
      :task_type,
      :dataset,
      :metric_names)
      SENSITIVE = []
      include Aws::Structure
    end

    # Used to define the models you want used in your model evaluation job.
    # Automated model evaluation jobs support only a single model. In a
    # human-based model evaluation job, your annotator can compare the
    # responses for up to two different models.
    #
    # @note EvaluationInferenceConfig is a union - when making an API calls you must set exactly one of the members.
    #
    # @note EvaluationInferenceConfig is a union - when returned from an API call exactly one value will be set and the returned type will be a subclass of EvaluationInferenceConfig corresponding to the set member.
    #
    # @!attribute [rw] models
    #   Used to specify the models.
    #   @return [Array<Types::EvaluationModelConfig>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/EvaluationInferenceConfig AWS API Documentation
    #
    class EvaluationInferenceConfig < Struct.new(
      :models,
      :unknown)
      SENSITIVE = []
      include Aws::Structure
      include Aws::Structure::Union

      class Models < EvaluationInferenceConfig; end
      class Unknown < EvaluationInferenceConfig; end
    end

    # Defines the models used in the model evaluation job.
    #
    # @note EvaluationModelConfig is a union - when making an API calls you must set exactly one of the members.
    #
    # @note EvaluationModelConfig is a union - when returned from an API call exactly one value will be set and the returned type will be a subclass of EvaluationModelConfig corresponding to the set member.
    #
    # @!attribute [rw] bedrock_model
    #   Defines the Amazon Bedrock model and inference parameters you want
    #   used.
    #   @return [Types::EvaluationBedrockModel]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/EvaluationModelConfig AWS API Documentation
    #
    class EvaluationModelConfig < Struct.new(
      :bedrock_model,
      :unknown)
      SENSITIVE = []
      include Aws::Structure
      include Aws::Structure::Union

      class BedrockModel < EvaluationModelConfig; end
      class Unknown < EvaluationModelConfig; end
    end

    # The Amazon S3 location where the results of your model evaluation job
    # are saved.
    #
    # @!attribute [rw] s3_uri
    #   The Amazon S3 URI where the results of model evaluation job are
    #   saved.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/EvaluationOutputDataConfig AWS API Documentation
    #
    class EvaluationOutputDataConfig < Struct.new(
      :s3_uri)
      SENSITIVE = []
      include Aws::Structure
    end

    # A summary of the model evaluation job.
    #
    # @!attribute [rw] job_arn
    #   The Amazon Resource Name (ARN) of the model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] job_name
    #   The name of the model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] status
    #   The current status of the model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] creation_time
    #   When the model evaluation job was created.
    #   @return [Time]
    #
    # @!attribute [rw] job_type
    #   The type, either human or automatic, of model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] evaluation_task_types
    #   What task type was used in the model evaluation job.
    #   @return [Array<String>]
    #
    # @!attribute [rw] model_identifiers
    #   The Amazon Resource Names (ARNs) of the model(s) used in the model
    #   evaluation job.
    #   @return [Array<String>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/EvaluationSummary AWS API Documentation
    #
    class EvaluationSummary < Struct.new(
      :job_arn,
      :job_name,
      :status,
      :creation_time,
      :job_type,
      :evaluation_task_types,
      :model_identifiers)
      SENSITIVE = []
      include Aws::Structure
    end

    # Information about a foundation model.
    #
    # @!attribute [rw] model_arn
    #   The model Amazon Resource Name (ARN).
    #   @return [String]
    #
    # @!attribute [rw] model_id
    #   The model identifier.
    #   @return [String]
    #
    # @!attribute [rw] model_name
    #   The model name.
    #   @return [String]
    #
    # @!attribute [rw] provider_name
    #   The model's provider name.
    #   @return [String]
    #
    # @!attribute [rw] input_modalities
    #   The input modalities that the model supports.
    #   @return [Array<String>]
    #
    # @!attribute [rw] output_modalities
    #   The output modalities that the model supports.
    #   @return [Array<String>]
    #
    # @!attribute [rw] response_streaming_supported
    #   Indicates whether the model supports streaming.
    #   @return [Boolean]
    #
    # @!attribute [rw] customizations_supported
    #   The customization that the model supports.
    #   @return [Array<String>]
    #
    # @!attribute [rw] inference_types_supported
    #   The inference types that the model supports.
    #   @return [Array<String>]
    #
    # @!attribute [rw] model_lifecycle
    #   Contains details about whether a model version is available or
    #   deprecated
    #   @return [Types::FoundationModelLifecycle]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/FoundationModelDetails AWS API Documentation
    #
    class FoundationModelDetails < Struct.new(
      :model_arn,
      :model_id,
      :model_name,
      :provider_name,
      :input_modalities,
      :output_modalities,
      :response_streaming_supported,
      :customizations_supported,
      :inference_types_supported,
      :model_lifecycle)
      SENSITIVE = []
      include Aws::Structure
    end

    # Details about whether a model version is available or deprecated.
    #
    # @!attribute [rw] status
    #   Specifies whether a model version is available (`ACTIVE`) or
    #   deprecated (`LEGACY`.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/FoundationModelLifecycle AWS API Documentation
    #
    class FoundationModelLifecycle < Struct.new(
      :status)
      SENSITIVE = []
      include Aws::Structure
    end

    # Summary information for a foundation model.
    #
    # @!attribute [rw] model_arn
    #   The Amazon Resource Name (ARN) of the foundation model.
    #   @return [String]
    #
    # @!attribute [rw] model_id
    #   The model ID of the foundation model.
    #   @return [String]
    #
    # @!attribute [rw] model_name
    #   The name of the model.
    #   @return [String]
    #
    # @!attribute [rw] provider_name
    #   The model's provider name.
    #   @return [String]
    #
    # @!attribute [rw] input_modalities
    #   The input modalities that the model supports.
    #   @return [Array<String>]
    #
    # @!attribute [rw] output_modalities
    #   The output modalities that the model supports.
    #   @return [Array<String>]
    #
    # @!attribute [rw] response_streaming_supported
    #   Indicates whether the model supports streaming.
    #   @return [Boolean]
    #
    # @!attribute [rw] customizations_supported
    #   Whether the model supports fine-tuning or continual pre-training.
    #   @return [Array<String>]
    #
    # @!attribute [rw] inference_types_supported
    #   The inference types that the model supports.
    #   @return [Array<String>]
    #
    # @!attribute [rw] model_lifecycle
    #   Contains details about whether a model version is available or
    #   deprecated.
    #   @return [Types::FoundationModelLifecycle]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/FoundationModelSummary AWS API Documentation
    #
    class FoundationModelSummary < Struct.new(
      :model_arn,
      :model_id,
      :model_name,
      :provider_name,
      :input_modalities,
      :output_modalities,
      :response_streaming_supported,
      :customizations_supported,
      :inference_types_supported,
      :model_lifecycle)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] model_identifier
    #   Name or Amazon Resource Name (ARN) of the custom model.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetCustomModelRequest AWS API Documentation
    #
    class GetCustomModelRequest < Struct.new(
      :model_identifier)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] model_arn
    #   Amazon Resource Name (ARN) associated with this model.
    #   @return [String]
    #
    # @!attribute [rw] model_name
    #   Model name associated with this model.
    #   @return [String]
    #
    # @!attribute [rw] job_name
    #   Job name associated with this model.
    #   @return [String]
    #
    # @!attribute [rw] job_arn
    #   Job Amazon Resource Name (ARN) associated with this model.
    #   @return [String]
    #
    # @!attribute [rw] base_model_arn
    #   Amazon Resource Name (ARN) of the base model.
    #   @return [String]
    #
    # @!attribute [rw] customization_type
    #   The type of model customization.
    #   @return [String]
    #
    # @!attribute [rw] model_kms_key_arn
    #   The custom model is encrypted at rest using this key.
    #   @return [String]
    #
    # @!attribute [rw] hyper_parameters
    #   Hyperparameter values associated with this model. For details on the
    #   format for different models, see [Custom model hyperparameters][1].
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models-hp.html
    #   @return [Hash<String,String>]
    #
    # @!attribute [rw] training_data_config
    #   Contains information about the training dataset.
    #   @return [Types::TrainingDataConfig]
    #
    # @!attribute [rw] validation_data_config
    #   Contains information about the validation dataset.
    #   @return [Types::ValidationDataConfig]
    #
    # @!attribute [rw] output_data_config
    #   Output data configuration associated with this custom model.
    #   @return [Types::OutputDataConfig]
    #
    # @!attribute [rw] training_metrics
    #   Contains training metrics from the job creation.
    #   @return [Types::TrainingMetrics]
    #
    # @!attribute [rw] validation_metrics
    #   The validation metrics from the job creation.
    #   @return [Array<Types::ValidatorMetric>]
    #
    # @!attribute [rw] creation_time
    #   Creation time of the model.
    #   @return [Time]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetCustomModelResponse AWS API Documentation
    #
    class GetCustomModelResponse < Struct.new(
      :model_arn,
      :model_name,
      :job_name,
      :job_arn,
      :base_model_arn,
      :customization_type,
      :model_kms_key_arn,
      :hyper_parameters,
      :training_data_config,
      :validation_data_config,
      :output_data_config,
      :training_metrics,
      :validation_metrics,
      :creation_time)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] job_identifier
    #   The Amazon Resource Name (ARN) of the model evaluation job.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetEvaluationJobRequest AWS API Documentation
    #
    class GetEvaluationJobRequest < Struct.new(
      :job_identifier)
      SENSITIVE = [:job_identifier]
      include Aws::Structure
    end

    # @!attribute [rw] job_name
    #   The name of the model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] status
    #   The status of the model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] job_arn
    #   The Amazon Resource Name (ARN) of the model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] job_description
    #   The description of the model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] role_arn
    #   The Amazon Resource Name (ARN) of the IAM service role used in the
    #   model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] customer_encryption_key_id
    #   The Amazon Resource Name (ARN) of the customer managed key specified
    #   when the model evaluation job was created.
    #   @return [String]
    #
    # @!attribute [rw] job_type
    #   The type of model evaluation job.
    #   @return [String]
    #
    # @!attribute [rw] evaluation_config
    #   Contains details about the type of model evaluation job, the metrics
    #   used, the task type selected, the datasets used, and any custom
    #   metrics you defined.
    #   @return [Types::EvaluationConfig]
    #
    # @!attribute [rw] inference_config
    #   Details about the models you specified in your model evaluation job.
    #   @return [Types::EvaluationInferenceConfig]
    #
    # @!attribute [rw] output_data_config
    #   Amazon S3 location for where output data is saved.
    #   @return [Types::EvaluationOutputDataConfig]
    #
    # @!attribute [rw] creation_time
    #   When the model evaluation job was created.
    #   @return [Time]
    #
    # @!attribute [rw] last_modified_time
    #   When the model evaluation job was last modified.
    #   @return [Time]
    #
    # @!attribute [rw] failure_messages
    #   An array of strings the specify why the model evaluation job has
    #   failed.
    #   @return [Array<String>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetEvaluationJobResponse AWS API Documentation
    #
    class GetEvaluationJobResponse < Struct.new(
      :job_name,
      :status,
      :job_arn,
      :job_description,
      :role_arn,
      :customer_encryption_key_id,
      :job_type,
      :evaluation_config,
      :inference_config,
      :output_data_config,
      :creation_time,
      :last_modified_time,
      :failure_messages)
      SENSITIVE = [:job_description]
      include Aws::Structure
    end

    # @!attribute [rw] model_identifier
    #   The model identifier.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetFoundationModelRequest AWS API Documentation
    #
    class GetFoundationModelRequest < Struct.new(
      :model_identifier)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] model_details
    #   Information about the foundation model.
    #   @return [Types::FoundationModelDetails]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetFoundationModelResponse AWS API Documentation
    #
    class GetFoundationModelResponse < Struct.new(
      :model_details)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] guardrail_identifier
    #   The unique identifier of the guardrail for which to get details.
    #   @return [String]
    #
    # @!attribute [rw] guardrail_version
    #   The version of the guardrail for which to get details. If you don't
    #   specify a version, the response returns details for the `DRAFT`
    #   version.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetGuardrailRequest AWS API Documentation
    #
    class GetGuardrailRequest < Struct.new(
      :guardrail_identifier,
      :guardrail_version)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] name
    #   The name of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] description
    #   The description of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] guardrail_id
    #   The unique identifier of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] guardrail_arn
    #   The ARN of the guardrail that was created.
    #   @return [String]
    #
    # @!attribute [rw] version
    #   The version of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] status
    #   The status of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] topic_policy
    #   The topic policy that was configured for the guardrail.
    #   @return [Types::GuardrailTopicPolicy]
    #
    # @!attribute [rw] content_policy
    #   The content policy that was configured for the guardrail.
    #   @return [Types::GuardrailContentPolicy]
    #
    # @!attribute [rw] word_policy
    #   The word policy that was configured for the guardrail.
    #   @return [Types::GuardrailWordPolicy]
    #
    # @!attribute [rw] sensitive_information_policy
    #   The sensitive information policy that was configured for the
    #   guardrail.
    #   @return [Types::GuardrailSensitiveInformationPolicy]
    #
    # @!attribute [rw] created_at
    #   The date and time at which the guardrail was created.
    #   @return [Time]
    #
    # @!attribute [rw] updated_at
    #   The date and time at which the guardrail was updated.
    #   @return [Time]
    #
    # @!attribute [rw] status_reasons
    #   Appears if the `status` is `FAILED`. A list of reasons for why the
    #   guardrail failed to be created, updated, versioned, or deleted.
    #   @return [Array<String>]
    #
    # @!attribute [rw] failure_recommendations
    #   Appears if the `status` of the guardrail is `FAILED`. A list of
    #   recommendations to carry out before retrying the request.
    #   @return [Array<String>]
    #
    # @!attribute [rw] blocked_input_messaging
    #   The message that the guardrail returns when it blocks a prompt.
    #   @return [String]
    #
    # @!attribute [rw] blocked_outputs_messaging
    #   The message that the guardrail returns when it blocks a model
    #   response.
    #   @return [String]
    #
    # @!attribute [rw] kms_key_arn
    #   The ARN of the KMS key that encrypts the guardrail.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetGuardrailResponse AWS API Documentation
    #
    class GetGuardrailResponse < Struct.new(
      :name,
      :description,
      :guardrail_id,
      :guardrail_arn,
      :version,
      :status,
      :topic_policy,
      :content_policy,
      :word_policy,
      :sensitive_information_policy,
      :created_at,
      :updated_at,
      :status_reasons,
      :failure_recommendations,
      :blocked_input_messaging,
      :blocked_outputs_messaging,
      :kms_key_arn)
      SENSITIVE = [:name, :description, :blocked_input_messaging, :blocked_outputs_messaging]
      include Aws::Structure
    end

    # @!attribute [rw] job_identifier
    #   Identifier for the customization job.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetModelCustomizationJobRequest AWS API Documentation
    #
    class GetModelCustomizationJobRequest < Struct.new(
      :job_identifier)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] job_arn
    #   The Amazon Resource Name (ARN) of the customization job.
    #   @return [String]
    #
    # @!attribute [rw] job_name
    #   The name of the customization job.
    #   @return [String]
    #
    # @!attribute [rw] output_model_name
    #   The name of the output model.
    #   @return [String]
    #
    # @!attribute [rw] output_model_arn
    #   The Amazon Resource Name (ARN) of the output model.
    #   @return [String]
    #
    # @!attribute [rw] client_request_token
    #   The token that you specified in the `CreateCustomizationJob`
    #   request.
    #   @return [String]
    #
    # @!attribute [rw] role_arn
    #   The Amazon Resource Name (ARN) of the IAM role.
    #   @return [String]
    #
    # @!attribute [rw] status
    #   The status of the job. A successful job transitions from in-progress
    #   to completed when the output model is ready to use. If the job
    #   failed, the failure message contains information about why the job
    #   failed.
    #   @return [String]
    #
    # @!attribute [rw] failure_message
    #   Information about why the job failed.
    #   @return [String]
    #
    # @!attribute [rw] creation_time
    #   Time that the resource was created.
    #   @return [Time]
    #
    # @!attribute [rw] last_modified_time
    #   Time that the resource was last modified.
    #   @return [Time]
    #
    # @!attribute [rw] end_time
    #   Time that the resource transitioned to terminal state.
    #   @return [Time]
    #
    # @!attribute [rw] base_model_arn
    #   Amazon Resource Name (ARN) of the base model.
    #   @return [String]
    #
    # @!attribute [rw] hyper_parameters
    #   The hyperparameter values for the job. For details on the format for
    #   different models, see [Custom model hyperparameters][1].
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models-hp.html
    #   @return [Hash<String,String>]
    #
    # @!attribute [rw] training_data_config
    #   Contains information about the training dataset.
    #   @return [Types::TrainingDataConfig]
    #
    # @!attribute [rw] validation_data_config
    #   Contains information about the validation dataset.
    #   @return [Types::ValidationDataConfig]
    #
    # @!attribute [rw] output_data_config
    #   Output data configuration
    #   @return [Types::OutputDataConfig]
    #
    # @!attribute [rw] customization_type
    #   The type of model customization.
    #   @return [String]
    #
    # @!attribute [rw] output_model_kms_key_arn
    #   The custom model is encrypted at rest using this key.
    #   @return [String]
    #
    # @!attribute [rw] training_metrics
    #   Contains training metrics from the job creation.
    #   @return [Types::TrainingMetrics]
    #
    # @!attribute [rw] validation_metrics
    #   The loss metric for each validator that you provided in the
    #   createjob request.
    #   @return [Array<Types::ValidatorMetric>]
    #
    # @!attribute [rw] vpc_config
    #   VPC configuration for the custom model job.
    #   @return [Types::VpcConfig]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetModelCustomizationJobResponse AWS API Documentation
    #
    class GetModelCustomizationJobResponse < Struct.new(
      :job_arn,
      :job_name,
      :output_model_name,
      :output_model_arn,
      :client_request_token,
      :role_arn,
      :status,
      :failure_message,
      :creation_time,
      :last_modified_time,
      :end_time,
      :base_model_arn,
      :hyper_parameters,
      :training_data_config,
      :validation_data_config,
      :output_data_config,
      :customization_type,
      :output_model_kms_key_arn,
      :training_metrics,
      :validation_metrics,
      :vpc_config)
      SENSITIVE = []
      include Aws::Structure
    end

    # @api private
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetModelInvocationLoggingConfigurationRequest AWS API Documentation
    #
    class GetModelInvocationLoggingConfigurationRequest < Aws::EmptyStructure; end

    # @!attribute [rw] logging_config
    #   The current configuration values.
    #   @return [Types::LoggingConfig]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetModelInvocationLoggingConfigurationResponse AWS API Documentation
    #
    class GetModelInvocationLoggingConfigurationResponse < Struct.new(
      :logging_config)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] provisioned_model_id
    #   The Amazon Resource Name (ARN) or name of the Provisioned
    #   Throughput.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetProvisionedModelThroughputRequest AWS API Documentation
    #
    class GetProvisionedModelThroughputRequest < Struct.new(
      :provisioned_model_id)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] model_units
    #   The number of model units allocated to this Provisioned Throughput.
    #   @return [Integer]
    #
    # @!attribute [rw] desired_model_units
    #   The number of model units that was requested for this Provisioned
    #   Throughput.
    #   @return [Integer]
    #
    # @!attribute [rw] provisioned_model_name
    #   The name of the Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] provisioned_model_arn
    #   The Amazon Resource Name (ARN) of the Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] model_arn
    #   The Amazon Resource Name (ARN) of the model associated with this
    #   Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] desired_model_arn
    #   The Amazon Resource Name (ARN) of the model requested to be
    #   associated to this Provisioned Throughput. This value differs from
    #   the `modelArn` if updating hasn't completed.
    #   @return [String]
    #
    # @!attribute [rw] foundation_model_arn
    #   The Amazon Resource Name (ARN) of the base model for which the
    #   Provisioned Throughput was created, or of the base model that the
    #   custom model for which the Provisioned Throughput was created was
    #   customized.
    #   @return [String]
    #
    # @!attribute [rw] status
    #   The status of the Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] creation_time
    #   The timestamp of the creation time for this Provisioned Throughput.
    #   @return [Time]
    #
    # @!attribute [rw] last_modified_time
    #   The timestamp of the last time that this Provisioned Throughput was
    #   modified.
    #   @return [Time]
    #
    # @!attribute [rw] failure_message
    #   A failure message for any issues that occurred during creation,
    #   updating, or deletion of the Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] commitment_duration
    #   Commitment duration of the Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] commitment_expiration_time
    #   The timestamp for when the commitment term for the Provisioned
    #   Throughput expires.
    #   @return [Time]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GetProvisionedModelThroughputResponse AWS API Documentation
    #
    class GetProvisionedModelThroughputResponse < Struct.new(
      :model_units,
      :desired_model_units,
      :provisioned_model_name,
      :provisioned_model_arn,
      :model_arn,
      :desired_model_arn,
      :foundation_model_arn,
      :status,
      :creation_time,
      :last_modified_time,
      :failure_message,
      :commitment_duration,
      :commitment_expiration_time)
      SENSITIVE = []
      include Aws::Structure
    end

    # Contains filter strengths for harmful content. Guardrails support the
    # following content filters to detect and filter harmful user inputs and
    # FM-generated outputs.
    #
    # * **Hate** – Describes language or a statement that discriminates,
    #   criticizes, insults, denounces, or dehumanizes a person or group on
    #   the basis of an identity (such as race, ethnicity, gender, religion,
    #   sexual orientation, ability, and national origin).
    #
    # * **Insults** – Describes language or a statement that includes
    #   demeaning, humiliating, mocking, insulting, or belittling language.
    #   This type of language is also labeled as bullying.
    #
    # * **Sexual** – Describes language or a statement that indicates sexual
    #   interest, activity, or arousal using direct or indirect references
    #   to body parts, physical traits, or sex.
    #
    # * **Violence** – Describes language or a statement that includes
    #   glorification of or threats to inflict physical pain, hurt, or
    #   injury toward a person, group or thing.
    #
    # Content filtering depends on the confidence classification of user
    # inputs and FM responses across each of the four harmful categories.
    # All input and output statements are classified into one of four
    # confidence levels (NONE, LOW, MEDIUM, HIGH) for each harmful category.
    # For example, if a statement is classified as *Hate* with HIGH
    # confidence, the likelihood of the statement representing hateful
    # content is high. A single statement can be classified across multiple
    # categories with varying confidence levels. For example, a single
    # statement can be classified as *Hate* with HIGH confidence, *Insults*
    # with LOW confidence, *Sexual* with NONE confidence, and *Violence*
    # with MEDIUM confidence.
    #
    # For more information, see [Guardrails content filters][1].
    #
    # This data type is used in the following API operations:
    #
    # * [GetGuardrail response body][2]
    #
    # ^
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails-filters.html
    # [2]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_GetGuardrail.html#API_GetGuardrail_ResponseSyntax
    #
    # @!attribute [rw] type
    #   The harmful category that the content filter is applied to.
    #   @return [String]
    #
    # @!attribute [rw] input_strength
    #   The strength of the content filter to apply to prompts. As you
    #   increase the filter strength, the likelihood of filtering harmful
    #   content increases and the probability of seeing harmful content in
    #   your application reduces.
    #   @return [String]
    #
    # @!attribute [rw] output_strength
    #   The strength of the content filter to apply to model responses. As
    #   you increase the filter strength, the likelihood of filtering
    #   harmful content increases and the probability of seeing harmful
    #   content in your application reduces.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailContentFilter AWS API Documentation
    #
    class GuardrailContentFilter < Struct.new(
      :type,
      :input_strength,
      :output_strength)
      SENSITIVE = []
      include Aws::Structure
    end

    # Contains filter strengths for harmful content. Guardrails support the
    # following content filters to detect and filter harmful user inputs and
    # FM-generated outputs.
    #
    # * **Hate** – Describes language or a statement that discriminates,
    #   criticizes, insults, denounces, or dehumanizes a person or group on
    #   the basis of an identity (such as race, ethnicity, gender, religion,
    #   sexual orientation, ability, and national origin).
    #
    # * **Insults** – Describes language or a statement that includes
    #   demeaning, humiliating, mocking, insulting, or belittling language.
    #   This type of language is also labeled as bullying.
    #
    # * **Sexual** – Describes language or a statement that indicates sexual
    #   interest, activity, or arousal using direct or indirect references
    #   to body parts, physical traits, or sex.
    #
    # * **Violence** – Describes language or a statement that includes
    #   glorification of or threats to inflict physical pain, hurt, or
    #   injury toward a person, group or thing.
    #
    # Content filtering depends on the confidence classification of user
    # inputs and FM responses across each of the four harmful categories.
    # All input and output statements are classified into one of four
    # confidence levels (NONE, LOW, MEDIUM, HIGH) for each harmful category.
    # For example, if a statement is classified as *Hate* with HIGH
    # confidence, the likelihood of the statement representing hateful
    # content is high. A single statement can be classified across multiple
    # categories with varying confidence levels. For example, a single
    # statement can be classified as *Hate* with HIGH confidence, *Insults*
    # with LOW confidence, *Sexual* with NONE confidence, and *Violence*
    # with MEDIUM confidence.
    #
    # For more information, see [Guardrails content filters][1].
    #
    # This data type is used in the following API operations:
    #
    # * [CreateGuardrail request body][2]
    #
    # * [UpdateGuardrail request body][3]
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails-filters.html
    # [2]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateGuardrail.html#API_CreateGuardrail_RequestSyntax
    # [3]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_UpdateGuardrail.html#API_UpdateGuardrail_RequestSyntax
    #
    # @!attribute [rw] type
    #   The harmful category that the content filter is applied to.
    #   @return [String]
    #
    # @!attribute [rw] input_strength
    #   The strength of the content filter to apply to prompts. As you
    #   increase the filter strength, the likelihood of filtering harmful
    #   content increases and the probability of seeing harmful content in
    #   your application reduces.
    #   @return [String]
    #
    # @!attribute [rw] output_strength
    #   The strength of the content filter to apply to model responses. As
    #   you increase the filter strength, the likelihood of filtering
    #   harmful content increases and the probability of seeing harmful
    #   content in your application reduces.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailContentFilterConfig AWS API Documentation
    #
    class GuardrailContentFilterConfig < Struct.new(
      :type,
      :input_strength,
      :output_strength)
      SENSITIVE = []
      include Aws::Structure
    end

    # Contains details about how to handle harmful content.
    #
    # This data type is used in the following API operations:
    #
    # * [GetGuardrail response body][1]
    #
    # ^
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_GetGuardrail.html#API_GetGuardrail_ResponseSyntax
    #
    # @!attribute [rw] filters
    #   Contains the type of the content filter and how strongly it should
    #   apply to prompts and model responses.
    #   @return [Array<Types::GuardrailContentFilter>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailContentPolicy AWS API Documentation
    #
    class GuardrailContentPolicy < Struct.new(
      :filters)
      SENSITIVE = []
      include Aws::Structure
    end

    # Contains details about how to handle harmful content.
    #
    # This data type is used in the following API operations:
    #
    # * [CreateGuardrail request body][1]
    #
    # * [UpdateGuardrail request body][2]
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateGuardrail.html#API_CreateGuardrail_RequestSyntax
    # [2]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_UpdateGuardrail.html#API_UpdateGuardrail_RequestSyntax
    #
    # @!attribute [rw] filters_config
    #   Contains the type of the content filter and how strongly it should
    #   apply to prompts and model responses.
    #   @return [Array<Types::GuardrailContentFilterConfig>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailContentPolicyConfig AWS API Documentation
    #
    class GuardrailContentPolicyConfig < Struct.new(
      :filters_config)
      SENSITIVE = []
      include Aws::Structure
    end

    # The managed word list that was configured for the guardrail. (This is
    # a list of words that are pre-defined and managed by Guardrails only.)
    #
    # @!attribute [rw] type
    #   ManagedWords$type The managed word type that was configured for the
    #   guardrail. (For now, we only offer profanity word list)
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailManagedWords AWS API Documentation
    #
    class GuardrailManagedWords < Struct.new(
      :type)
      SENSITIVE = []
      include Aws::Structure
    end

    # The managed word list to configure for the guardrail.
    #
    # @!attribute [rw] type
    #   The managed word type to configure for the guardrail.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailManagedWordsConfig AWS API Documentation
    #
    class GuardrailManagedWordsConfig < Struct.new(
      :type)
      SENSITIVE = []
      include Aws::Structure
    end

    # The PII entity configured for the guardrail.
    #
    # @!attribute [rw] type
    #   The type of PII entity. For example, Social Security Number.
    #   @return [String]
    #
    # @!attribute [rw] action
    #   The configured guardrail action when PII entity is detected.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailPiiEntity AWS API Documentation
    #
    class GuardrailPiiEntity < Struct.new(
      :type,
      :action)
      SENSITIVE = []
      include Aws::Structure
    end

    # The PII entity to configure for the guardrail.
    #
    # @!attribute [rw] type
    #   Configure guardrail type when the PII entity is detected.
    #   @return [String]
    #
    # @!attribute [rw] action
    #   Configure guardrail action when the PII entity is detected.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailPiiEntityConfig AWS API Documentation
    #
    class GuardrailPiiEntityConfig < Struct.new(
      :type,
      :action)
      SENSITIVE = []
      include Aws::Structure
    end

    # The regular expression configured for the guardrail.
    #
    # @!attribute [rw] name
    #   The name of the regular expression for the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] description
    #   The description of the regular expression for the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] pattern
    #   The pattern of the regular expression configured for the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] action
    #   The action taken when a match to the regular expression is detected.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailRegex AWS API Documentation
    #
    class GuardrailRegex < Struct.new(
      :name,
      :description,
      :pattern,
      :action)
      SENSITIVE = []
      include Aws::Structure
    end

    # The regular expression to configure for the guardrail.
    #
    # @!attribute [rw] name
    #   The name of the regular expression to configure for the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] description
    #   The description of the regular expression to configure for the
    #   guardrail.
    #   @return [String]
    #
    # @!attribute [rw] pattern
    #   The regular expression pattern to configure for the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] action
    #   The guardrail action to configure when matching regular expression
    #   is detected.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailRegexConfig AWS API Documentation
    #
    class GuardrailRegexConfig < Struct.new(
      :name,
      :description,
      :pattern,
      :action)
      SENSITIVE = []
      include Aws::Structure
    end

    # Contains details about PII entities and regular expressions configured
    # for the guardrail.
    #
    # @!attribute [rw] pii_entities
    #   The list of PII entities configured for the guardrail.
    #   @return [Array<Types::GuardrailPiiEntity>]
    #
    # @!attribute [rw] regexes
    #   The list of regular expressions configured for the guardrail.
    #   @return [Array<Types::GuardrailRegex>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailSensitiveInformationPolicy AWS API Documentation
    #
    class GuardrailSensitiveInformationPolicy < Struct.new(
      :pii_entities,
      :regexes)
      SENSITIVE = []
      include Aws::Structure
    end

    # Contains details about PII entities and regular expressions to
    # configure for the guardrail.
    #
    # @!attribute [rw] pii_entities_config
    #   A list of PII entities to configure to the guardrail.
    #   @return [Array<Types::GuardrailPiiEntityConfig>]
    #
    # @!attribute [rw] regexes_config
    #   A list of regular expressions to configure to the guardrail.
    #   @return [Array<Types::GuardrailRegexConfig>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailSensitiveInformationPolicyConfig AWS API Documentation
    #
    class GuardrailSensitiveInformationPolicyConfig < Struct.new(
      :pii_entities_config,
      :regexes_config)
      SENSITIVE = []
      include Aws::Structure
    end

    # Contains details about a guardrail.
    #
    # This data type is used in the following API operations:
    #
    # * [ListGuardrails response body][1]
    #
    # ^
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_ListGuardrails.html#API_ListGuardrails_ResponseSyntax
    #
    # @!attribute [rw] id
    #   The unique identifier of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] arn
    #   The ARN of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] status
    #   The status of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] name
    #   The name of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] description
    #   A description of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] version
    #   The version of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] created_at
    #   The date and time at which the guardrail was created.
    #   @return [Time]
    #
    # @!attribute [rw] updated_at
    #   The date and time at which the guardrail was last updated.
    #   @return [Time]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailSummary AWS API Documentation
    #
    class GuardrailSummary < Struct.new(
      :id,
      :arn,
      :status,
      :name,
      :description,
      :version,
      :created_at,
      :updated_at)
      SENSITIVE = [:name, :description]
      include Aws::Structure
    end

    # Details about topics for the guardrail to identify and deny.
    #
    # This data type is used in the following API operations:
    #
    # * [GetGuardrail response body][1]
    #
    # ^
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_GetGuardrail.html#API_GetGuardrail_ResponseSyntax
    #
    # @!attribute [rw] name
    #   The name of the topic to deny.
    #   @return [String]
    #
    # @!attribute [rw] definition
    #   A definition of the topic to deny.
    #   @return [String]
    #
    # @!attribute [rw] examples
    #   A list of prompts, each of which is an example of a prompt that can
    #   be categorized as belonging to the topic.
    #   @return [Array<String>]
    #
    # @!attribute [rw] type
    #   Specifies to deny the topic.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailTopic AWS API Documentation
    #
    class GuardrailTopic < Struct.new(
      :name,
      :definition,
      :examples,
      :type)
      SENSITIVE = [:name, :definition]
      include Aws::Structure
    end

    # Details about topics for the guardrail to identify and deny.
    #
    # This data type is used in the following API operations:
    #
    # * [CreateGuardrail request body][1]
    #
    # * [UpdateGuardrail request body][2]
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateGuardrail.html#API_CreateGuardrail_RequestSyntax
    # [2]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_UpdateGuardrail.html#API_UpdateGuardrail_RequestSyntax
    #
    # @!attribute [rw] name
    #   The name of the topic to deny.
    #   @return [String]
    #
    # @!attribute [rw] definition
    #   A definition of the topic to deny.
    #   @return [String]
    #
    # @!attribute [rw] examples
    #   A list of prompts, each of which is an example of a prompt that can
    #   be categorized as belonging to the topic.
    #   @return [Array<String>]
    #
    # @!attribute [rw] type
    #   Specifies to deny the topic.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailTopicConfig AWS API Documentation
    #
    class GuardrailTopicConfig < Struct.new(
      :name,
      :definition,
      :examples,
      :type)
      SENSITIVE = [:name, :definition]
      include Aws::Structure
    end

    # Contains details about topics that the guardrail should identify and
    # deny.
    #
    # This data type is used in the following API operations:
    #
    # * [GetGuardrail response body][1]
    #
    # ^
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_GetGuardrail.html#API_GetGuardrail_ResponseSyntax
    #
    # @!attribute [rw] topics
    #   A list of policies related to topics that the guardrail should deny.
    #   @return [Array<Types::GuardrailTopic>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailTopicPolicy AWS API Documentation
    #
    class GuardrailTopicPolicy < Struct.new(
      :topics)
      SENSITIVE = []
      include Aws::Structure
    end

    # Contains details about topics that the guardrail should identify and
    # deny.
    #
    # This data type is used in the following API operations:
    #
    # * [CreateGuardrail request body][1]
    #
    # * [UpdateGuardrail request body][2]
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_CreateGuardrail.html#API_CreateGuardrail_RequestSyntax
    # [2]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_UpdateGuardrail.html#API_UpdateGuardrail_RequestSyntax
    #
    # @!attribute [rw] topics_config
    #   A list of policies related to topics that the guardrail should deny.
    #   @return [Array<Types::GuardrailTopicConfig>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailTopicPolicyConfig AWS API Documentation
    #
    class GuardrailTopicPolicyConfig < Struct.new(
      :topics_config)
      SENSITIVE = []
      include Aws::Structure
    end

    # A word configured for the guardrail.
    #
    # @!attribute [rw] text
    #   Text of the word configured for the guardrail to block.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailWord AWS API Documentation
    #
    class GuardrailWord < Struct.new(
      :text)
      SENSITIVE = []
      include Aws::Structure
    end

    # A word to configure for the guardrail.
    #
    # @!attribute [rw] text
    #   Text of the word configured for the guardrail to block.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailWordConfig AWS API Documentation
    #
    class GuardrailWordConfig < Struct.new(
      :text)
      SENSITIVE = []
      include Aws::Structure
    end

    # Contains details about the word policy configured for the guardrail.
    #
    # @!attribute [rw] words
    #   A list of words configured for the guardrail.
    #   @return [Array<Types::GuardrailWord>]
    #
    # @!attribute [rw] managed_word_lists
    #   A list of managed words configured for the guardrail.
    #   @return [Array<Types::GuardrailManagedWords>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailWordPolicy AWS API Documentation
    #
    class GuardrailWordPolicy < Struct.new(
      :words,
      :managed_word_lists)
      SENSITIVE = []
      include Aws::Structure
    end

    # Contains details about the word policy to configured for the
    # guardrail.
    #
    # @!attribute [rw] words_config
    #   A list of words to configure for the guardrail.
    #   @return [Array<Types::GuardrailWordConfig>]
    #
    # @!attribute [rw] managed_word_lists_config
    #   A list of managed words to configure for the guardrail.
    #   @return [Array<Types::GuardrailManagedWordsConfig>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/GuardrailWordPolicyConfig AWS API Documentation
    #
    class GuardrailWordPolicyConfig < Struct.new(
      :words_config,
      :managed_word_lists_config)
      SENSITIVE = []
      include Aws::Structure
    end

    # Specifies the custom metrics, how tasks will be rated, the flow
    # definition ARN, and your custom prompt datasets. Model evaluation jobs
    # use human workers *only* support the use of custom prompt datasets. To
    # learn more about custom prompt datasets and the required format, see
    # [Custom prompt datasets][1].
    #
    # When you create custom metrics in `HumanEvaluationCustomMetric` you
    # must specify the metric's `name`. The list of `names` specified in
    # the `HumanEvaluationCustomMetric` array, must match the `metricNames`
    # array of strings specified in `EvaluationDatasetMetricConfig`. For
    # example, if in the `HumanEvaluationCustomMetric` array your specified
    # the names `"accuracy", "toxicity", "readability"` as custom metrics
    # *then* the `metricNames` array would need to look like the following
    # `["accuracy", "toxicity", "readability"]` in
    # `EvaluationDatasetMetricConfig`.
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/model-evaluation-prompt-datasets-custom.html
    #
    # @!attribute [rw] human_workflow_config
    #   The parameters of the human workflow.
    #   @return [Types::HumanWorkflowConfig]
    #
    # @!attribute [rw] custom_metrics
    #   A `HumanEvaluationCustomMetric` object. It contains the names the
    #   metrics, how the metrics are to be evaluated, an optional
    #   description.
    #   @return [Array<Types::HumanEvaluationCustomMetric>]
    #
    # @!attribute [rw] dataset_metric_configs
    #   Use to specify the metrics, task, and prompt dataset to be used in
    #   your model evaluation job.
    #   @return [Array<Types::EvaluationDatasetMetricConfig>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/HumanEvaluationConfig AWS API Documentation
    #
    class HumanEvaluationConfig < Struct.new(
      :human_workflow_config,
      :custom_metrics,
      :dataset_metric_configs)
      SENSITIVE = []
      include Aws::Structure
    end

    # In a model evaluation job that uses human workers you must define the
    # name of the metric, and how you want that metric rated `ratingMethod`,
    # and an optional description of the metric.
    #
    # @!attribute [rw] name
    #   The name of the metric. Your human evaluators will see this name in
    #   the evaluation UI.
    #   @return [String]
    #
    # @!attribute [rw] description
    #   An optional description of the metric. Use this parameter to provide
    #   more details about the metric.
    #   @return [String]
    #
    # @!attribute [rw] rating_method
    #   Choose how you want your human workers to evaluation your model.
    #   Valid values for rating methods are `ThumbsUpDown`,
    #   `IndividualLikertScale`,`ComparisonLikertScale`, `ComparisonChoice`,
    #   and `ComparisonRank`
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/HumanEvaluationCustomMetric AWS API Documentation
    #
    class HumanEvaluationCustomMetric < Struct.new(
      :name,
      :description,
      :rating_method)
      SENSITIVE = [:name, :description]
      include Aws::Structure
    end

    # Contains `SageMakerFlowDefinition` object. The object is used to
    # specify the prompt dataset, task type, rating method and metric names.
    #
    # @!attribute [rw] flow_definition_arn
    #   The Amazon Resource Number (ARN) for the flow definition
    #   @return [String]
    #
    # @!attribute [rw] instructions
    #   Instructions for the flow definition
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/HumanWorkflowConfig AWS API Documentation
    #
    class HumanWorkflowConfig < Struct.new(
      :flow_definition_arn,
      :instructions)
      SENSITIVE = [:instructions]
      include Aws::Structure
    end

    # An internal server error occurred. Retry your request.
    #
    # @!attribute [rw] message
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/InternalServerException AWS API Documentation
    #
    class InternalServerException < Struct.new(
      :message)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] creation_time_before
    #   Return custom models created before the specified time.
    #   @return [Time]
    #
    # @!attribute [rw] creation_time_after
    #   Return custom models created after the specified time.
    #   @return [Time]
    #
    # @!attribute [rw] name_contains
    #   Return custom models only if the job name contains these characters.
    #   @return [String]
    #
    # @!attribute [rw] base_model_arn_equals
    #   Return custom models only if the base model Amazon Resource Name
    #   (ARN) matches this parameter.
    #   @return [String]
    #
    # @!attribute [rw] foundation_model_arn_equals
    #   Return custom models only if the foundation model Amazon Resource
    #   Name (ARN) matches this parameter.
    #   @return [String]
    #
    # @!attribute [rw] max_results
    #   Maximum number of results to return in the response.
    #   @return [Integer]
    #
    # @!attribute [rw] next_token
    #   Continuation token from the previous response, for Amazon Bedrock to
    #   list the next set of results.
    #   @return [String]
    #
    # @!attribute [rw] sort_by
    #   The field to sort by in the returned list of models.
    #   @return [String]
    #
    # @!attribute [rw] sort_order
    #   The sort order of the results.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListCustomModelsRequest AWS API Documentation
    #
    class ListCustomModelsRequest < Struct.new(
      :creation_time_before,
      :creation_time_after,
      :name_contains,
      :base_model_arn_equals,
      :foundation_model_arn_equals,
      :max_results,
      :next_token,
      :sort_by,
      :sort_order)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] next_token
    #   Continuation token for the next request to list the next set of
    #   results.
    #   @return [String]
    #
    # @!attribute [rw] model_summaries
    #   Model summaries.
    #   @return [Array<Types::CustomModelSummary>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListCustomModelsResponse AWS API Documentation
    #
    class ListCustomModelsResponse < Struct.new(
      :next_token,
      :model_summaries)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] creation_time_after
    #   A filter that includes model evaluation jobs created after the time
    #   specified.
    #   @return [Time]
    #
    # @!attribute [rw] creation_time_before
    #   A filter that includes model evaluation jobs created prior to the
    #   time specified.
    #   @return [Time]
    #
    # @!attribute [rw] status_equals
    #   Only return jobs where the status condition is met.
    #   @return [String]
    #
    # @!attribute [rw] name_contains
    #   Query parameter string for model evaluation job names.
    #   @return [String]
    #
    # @!attribute [rw] max_results
    #   The maximum number of results to return.
    #   @return [Integer]
    #
    # @!attribute [rw] next_token
    #   Continuation token from the previous response, for Amazon Bedrock to
    #   list the next set of results.
    #   @return [String]
    #
    # @!attribute [rw] sort_by
    #   Allows you to sort model evaluation jobs by when they were created.
    #   @return [String]
    #
    # @!attribute [rw] sort_order
    #   How you want the order of jobs sorted.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListEvaluationJobsRequest AWS API Documentation
    #
    class ListEvaluationJobsRequest < Struct.new(
      :creation_time_after,
      :creation_time_before,
      :status_equals,
      :name_contains,
      :max_results,
      :next_token,
      :sort_by,
      :sort_order)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] next_token
    #   Continuation token from the previous response, for Amazon Bedrock to
    #   list the next set of results.
    #   @return [String]
    #
    # @!attribute [rw] job_summaries
    #   A summary of the model evaluation jobs.
    #   @return [Array<Types::EvaluationSummary>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListEvaluationJobsResponse AWS API Documentation
    #
    class ListEvaluationJobsResponse < Struct.new(
      :next_token,
      :job_summaries)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] by_provider
    #   Return models belonging to the model provider that you specify.
    #   @return [String]
    #
    # @!attribute [rw] by_customization_type
    #   Return models that support the customization type that you specify.
    #   For more information, see [Custom models][1] in the Amazon Bedrock
    #   User Guide.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models.html
    #   @return [String]
    #
    # @!attribute [rw] by_output_modality
    #   Return models that support the output modality that you specify.
    #   @return [String]
    #
    # @!attribute [rw] by_inference_type
    #   Return models that support the inference type that you specify. For
    #   more information, see [Provisioned Throughput][1] in the Amazon
    #   Bedrock User Guide.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/prov-throughput.html
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListFoundationModelsRequest AWS API Documentation
    #
    class ListFoundationModelsRequest < Struct.new(
      :by_provider,
      :by_customization_type,
      :by_output_modality,
      :by_inference_type)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] model_summaries
    #   A list of Amazon Bedrock foundation models.
    #   @return [Array<Types::FoundationModelSummary>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListFoundationModelsResponse AWS API Documentation
    #
    class ListFoundationModelsResponse < Struct.new(
      :model_summaries)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] guardrail_identifier
    #   The unique identifier of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] max_results
    #   The maximum number of results to return in the response.
    #   @return [Integer]
    #
    # @!attribute [rw] next_token
    #   If there are more results than were returned in the response, the
    #   response returns a `nextToken` that you can send in another
    #   `ListGuardrails` request to see the next batch of results.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListGuardrailsRequest AWS API Documentation
    #
    class ListGuardrailsRequest < Struct.new(
      :guardrail_identifier,
      :max_results,
      :next_token)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] guardrails
    #   A list of objects, each of which contains details about a guardrail.
    #   @return [Array<Types::GuardrailSummary>]
    #
    # @!attribute [rw] next_token
    #   If there are more results than were returned in the response, the
    #   response returns a `nextToken` that you can send in another
    #   `ListGuardrails` request to see the next batch of results.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListGuardrailsResponse AWS API Documentation
    #
    class ListGuardrailsResponse < Struct.new(
      :guardrails,
      :next_token)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] creation_time_after
    #   Return customization jobs created after the specified time.
    #   @return [Time]
    #
    # @!attribute [rw] creation_time_before
    #   Return customization jobs created before the specified time.
    #   @return [Time]
    #
    # @!attribute [rw] status_equals
    #   Return customization jobs with the specified status.
    #   @return [String]
    #
    # @!attribute [rw] name_contains
    #   Return customization jobs only if the job name contains these
    #   characters.
    #   @return [String]
    #
    # @!attribute [rw] max_results
    #   Maximum number of results to return in the response.
    #   @return [Integer]
    #
    # @!attribute [rw] next_token
    #   Continuation token from the previous response, for Amazon Bedrock to
    #   list the next set of results.
    #   @return [String]
    #
    # @!attribute [rw] sort_by
    #   The field to sort by in the returned list of jobs.
    #   @return [String]
    #
    # @!attribute [rw] sort_order
    #   The sort order of the results.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListModelCustomizationJobsRequest AWS API Documentation
    #
    class ListModelCustomizationJobsRequest < Struct.new(
      :creation_time_after,
      :creation_time_before,
      :status_equals,
      :name_contains,
      :max_results,
      :next_token,
      :sort_by,
      :sort_order)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] next_token
    #   Page continuation token to use in the next request.
    #   @return [String]
    #
    # @!attribute [rw] model_customization_job_summaries
    #   Job summaries.
    #   @return [Array<Types::ModelCustomizationJobSummary>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListModelCustomizationJobsResponse AWS API Documentation
    #
    class ListModelCustomizationJobsResponse < Struct.new(
      :next_token,
      :model_customization_job_summaries)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] creation_time_after
    #   A filter that returns Provisioned Throughputs created after the
    #   specified time.
    #   @return [Time]
    #
    # @!attribute [rw] creation_time_before
    #   A filter that returns Provisioned Throughputs created before the
    #   specified time.
    #   @return [Time]
    #
    # @!attribute [rw] status_equals
    #   A filter that returns Provisioned Throughputs if their statuses
    #   matches the value that you specify.
    #   @return [String]
    #
    # @!attribute [rw] model_arn_equals
    #   A filter that returns Provisioned Throughputs whose model Amazon
    #   Resource Name (ARN) is equal to the value that you specify.
    #   @return [String]
    #
    # @!attribute [rw] name_contains
    #   A filter that returns Provisioned Throughputs if their name contains
    #   the expression that you specify.
    #   @return [String]
    #
    # @!attribute [rw] max_results
    #   THe maximum number of results to return in the response. If there
    #   are more results than the number you specified, the response returns
    #   a `nextToken` value. To see the next batch of results, send the
    #   `nextToken` value in another list request.
    #   @return [Integer]
    #
    # @!attribute [rw] next_token
    #   If there are more results than the number you specified in the
    #   `maxResults` field, the response returns a `nextToken` value. To see
    #   the next batch of results, specify the `nextToken` value in this
    #   field.
    #   @return [String]
    #
    # @!attribute [rw] sort_by
    #   The field by which to sort the returned list of Provisioned
    #   Throughputs.
    #   @return [String]
    #
    # @!attribute [rw] sort_order
    #   The sort order of the results.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListProvisionedModelThroughputsRequest AWS API Documentation
    #
    class ListProvisionedModelThroughputsRequest < Struct.new(
      :creation_time_after,
      :creation_time_before,
      :status_equals,
      :model_arn_equals,
      :name_contains,
      :max_results,
      :next_token,
      :sort_by,
      :sort_order)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] next_token
    #   If there are more results than the number you specified in the
    #   `maxResults` field, this value is returned. To see the next batch of
    #   results, include this value in the `nextToken` field in another list
    #   request.
    #   @return [String]
    #
    # @!attribute [rw] provisioned_model_summaries
    #   A list of summaries, one for each Provisioned Throughput in the
    #   response.
    #   @return [Array<Types::ProvisionedModelSummary>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListProvisionedModelThroughputsResponse AWS API Documentation
    #
    class ListProvisionedModelThroughputsResponse < Struct.new(
      :next_token,
      :provisioned_model_summaries)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] resource_arn
    #   The Amazon Resource Name (ARN) of the resource.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListTagsForResourceRequest AWS API Documentation
    #
    class ListTagsForResourceRequest < Struct.new(
      :resource_arn)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] tags
    #   An array of the tags associated with this resource.
    #   @return [Array<Types::Tag>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ListTagsForResourceResponse AWS API Documentation
    #
    class ListTagsForResourceResponse < Struct.new(
      :tags)
      SENSITIVE = []
      include Aws::Structure
    end

    # Configuration fields for invocation logging.
    #
    # @!attribute [rw] cloud_watch_config
    #   CloudWatch logging configuration.
    #   @return [Types::CloudWatchConfig]
    #
    # @!attribute [rw] s3_config
    #   S3 configuration for storing log data.
    #   @return [Types::S3Config]
    #
    # @!attribute [rw] text_data_delivery_enabled
    #   Set to include text data in the log delivery.
    #   @return [Boolean]
    #
    # @!attribute [rw] image_data_delivery_enabled
    #   Set to include image data in the log delivery.
    #   @return [Boolean]
    #
    # @!attribute [rw] embedding_data_delivery_enabled
    #   Set to include embeddings data in the log delivery.
    #   @return [Boolean]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/LoggingConfig AWS API Documentation
    #
    class LoggingConfig < Struct.new(
      :cloud_watch_config,
      :s3_config,
      :text_data_delivery_enabled,
      :image_data_delivery_enabled,
      :embedding_data_delivery_enabled)
      SENSITIVE = []
      include Aws::Structure
    end

    # Information about one customization job
    #
    # @!attribute [rw] job_arn
    #   Amazon Resource Name (ARN) of the customization job.
    #   @return [String]
    #
    # @!attribute [rw] base_model_arn
    #   Amazon Resource Name (ARN) of the base model.
    #   @return [String]
    #
    # @!attribute [rw] job_name
    #   Name of the customization job.
    #   @return [String]
    #
    # @!attribute [rw] status
    #   Status of the customization job.
    #   @return [String]
    #
    # @!attribute [rw] last_modified_time
    #   Time that the customization job was last modified.
    #   @return [Time]
    #
    # @!attribute [rw] creation_time
    #   Creation time of the custom model.
    #   @return [Time]
    #
    # @!attribute [rw] end_time
    #   Time that the customization job ended.
    #   @return [Time]
    #
    # @!attribute [rw] custom_model_arn
    #   Amazon Resource Name (ARN) of the custom model.
    #   @return [String]
    #
    # @!attribute [rw] custom_model_name
    #   Name of the custom model.
    #   @return [String]
    #
    # @!attribute [rw] customization_type
    #   Specifies whether to carry out continued pre-training of a model or
    #   whether to fine-tune it. For more information, see [Custom
    #   models][1].
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models.html
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ModelCustomizationJobSummary AWS API Documentation
    #
    class ModelCustomizationJobSummary < Struct.new(
      :job_arn,
      :base_model_arn,
      :job_name,
      :status,
      :last_modified_time,
      :creation_time,
      :end_time,
      :custom_model_arn,
      :custom_model_name,
      :customization_type)
      SENSITIVE = []
      include Aws::Structure
    end

    # S3 Location of the output data.
    #
    # @!attribute [rw] s3_uri
    #   The S3 URI where the output data is stored.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/OutputDataConfig AWS API Documentation
    #
    class OutputDataConfig < Struct.new(
      :s3_uri)
      SENSITIVE = []
      include Aws::Structure
    end

    # A summary of information about a Provisioned Throughput.
    #
    # This data type is used in the following API operations:
    #
    # * [ListProvisionedThroughputs response][1]
    #
    # ^
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_ListProvisionedModelThroughputs.html#API_ListProvisionedModelThroughputs_ResponseSyntax
    #
    # @!attribute [rw] provisioned_model_name
    #   The name of the Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] provisioned_model_arn
    #   The Amazon Resource Name (ARN) of the Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] model_arn
    #   The Amazon Resource Name (ARN) of the model associated with the
    #   Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] desired_model_arn
    #   The Amazon Resource Name (ARN) of the model requested to be
    #   associated to this Provisioned Throughput. This value differs from
    #   the `modelArn` if updating hasn't completed.
    #   @return [String]
    #
    # @!attribute [rw] foundation_model_arn
    #   The Amazon Resource Name (ARN) of the base model for which the
    #   Provisioned Throughput was created, or of the base model that the
    #   custom model for which the Provisioned Throughput was created was
    #   customized.
    #   @return [String]
    #
    # @!attribute [rw] model_units
    #   The number of model units allocated to the Provisioned Throughput.
    #   @return [Integer]
    #
    # @!attribute [rw] desired_model_units
    #   The number of model units that was requested to be allocated to the
    #   Provisioned Throughput.
    #   @return [Integer]
    #
    # @!attribute [rw] status
    #   The status of the Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] commitment_duration
    #   The duration for which the Provisioned Throughput was committed.
    #   @return [String]
    #
    # @!attribute [rw] commitment_expiration_time
    #   The timestamp for when the commitment term of the Provisioned
    #   Throughput expires.
    #   @return [Time]
    #
    # @!attribute [rw] creation_time
    #   The time that the Provisioned Throughput was created.
    #   @return [Time]
    #
    # @!attribute [rw] last_modified_time
    #   The time that the Provisioned Throughput was last modified.
    #   @return [Time]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ProvisionedModelSummary AWS API Documentation
    #
    class ProvisionedModelSummary < Struct.new(
      :provisioned_model_name,
      :provisioned_model_arn,
      :model_arn,
      :desired_model_arn,
      :foundation_model_arn,
      :model_units,
      :desired_model_units,
      :status,
      :commitment_duration,
      :commitment_expiration_time,
      :creation_time,
      :last_modified_time)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] logging_config
    #   The logging configuration values to set.
    #   @return [Types::LoggingConfig]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/PutModelInvocationLoggingConfigurationRequest AWS API Documentation
    #
    class PutModelInvocationLoggingConfigurationRequest < Struct.new(
      :logging_config)
      SENSITIVE = []
      include Aws::Structure
    end

    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/PutModelInvocationLoggingConfigurationResponse AWS API Documentation
    #
    class PutModelInvocationLoggingConfigurationResponse < Aws::EmptyStructure; end

    # The specified resource Amazon Resource Name (ARN) was not found. Check
    # the Amazon Resource Name (ARN) and try your request again.
    #
    # @!attribute [rw] message
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ResourceNotFoundException AWS API Documentation
    #
    class ResourceNotFoundException < Struct.new(
      :message)
      SENSITIVE = []
      include Aws::Structure
    end

    # S3 configuration for storing log data.
    #
    # @!attribute [rw] bucket_name
    #   S3 bucket name.
    #   @return [String]
    #
    # @!attribute [rw] key_prefix
    #   S3 prefix.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/S3Config AWS API Documentation
    #
    class S3Config < Struct.new(
      :bucket_name,
      :key_prefix)
      SENSITIVE = []
      include Aws::Structure
    end

    # The number of requests exceeds the service quota. Resubmit your
    # request later.
    #
    # @!attribute [rw] message
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ServiceQuotaExceededException AWS API Documentation
    #
    class ServiceQuotaExceededException < Struct.new(
      :message)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] job_identifier
    #   The ARN of the model evaluation job you want to stop.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/StopEvaluationJobRequest AWS API Documentation
    #
    class StopEvaluationJobRequest < Struct.new(
      :job_identifier)
      SENSITIVE = [:job_identifier]
      include Aws::Structure
    end

    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/StopEvaluationJobResponse AWS API Documentation
    #
    class StopEvaluationJobResponse < Aws::EmptyStructure; end

    # @!attribute [rw] job_identifier
    #   Job identifier of the job to stop.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/StopModelCustomizationJobRequest AWS API Documentation
    #
    class StopModelCustomizationJobRequest < Struct.new(
      :job_identifier)
      SENSITIVE = []
      include Aws::Structure
    end

    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/StopModelCustomizationJobResponse AWS API Documentation
    #
    class StopModelCustomizationJobResponse < Aws::EmptyStructure; end

    # Definition of the key/value pair for a tag.
    #
    # @!attribute [rw] key
    #   Key for the tag.
    #   @return [String]
    #
    # @!attribute [rw] value
    #   Value for the tag.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/Tag AWS API Documentation
    #
    class Tag < Struct.new(
      :key,
      :value)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] resource_arn
    #   The Amazon Resource Name (ARN) of the resource to tag.
    #   @return [String]
    #
    # @!attribute [rw] tags
    #   Tags to associate with the resource.
    #   @return [Array<Types::Tag>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/TagResourceRequest AWS API Documentation
    #
    class TagResourceRequest < Struct.new(
      :resource_arn,
      :tags)
      SENSITIVE = []
      include Aws::Structure
    end

    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/TagResourceResponse AWS API Documentation
    #
    class TagResourceResponse < Aws::EmptyStructure; end

    # The number of requests exceeds the limit. Resubmit your request later.
    #
    # @!attribute [rw] message
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ThrottlingException AWS API Documentation
    #
    class ThrottlingException < Struct.new(
      :message)
      SENSITIVE = []
      include Aws::Structure
    end

    # The request contains more tags than can be associated with a resource
    # (50 tags per resource). The maximum number of tags includes both
    # existing tags and those included in your current request.
    #
    # @!attribute [rw] message
    #   @return [String]
    #
    # @!attribute [rw] resource_name
    #   The name of the resource with too many tags.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/TooManyTagsException AWS API Documentation
    #
    class TooManyTagsException < Struct.new(
      :message,
      :resource_name)
      SENSITIVE = []
      include Aws::Structure
    end

    # S3 Location of the training data.
    #
    # @!attribute [rw] s3_uri
    #   The S3 URI where the training data is stored.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/TrainingDataConfig AWS API Documentation
    #
    class TrainingDataConfig < Struct.new(
      :s3_uri)
      SENSITIVE = []
      include Aws::Structure
    end

    # Metrics associated with the custom job.
    #
    # @!attribute [rw] training_loss
    #   Loss metric associated with the custom job.
    #   @return [Float]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/TrainingMetrics AWS API Documentation
    #
    class TrainingMetrics < Struct.new(
      :training_loss)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] resource_arn
    #   The Amazon Resource Name (ARN) of the resource to untag.
    #   @return [String]
    #
    # @!attribute [rw] tag_keys
    #   Tag keys of the tags to remove from the resource.
    #   @return [Array<String>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/UntagResourceRequest AWS API Documentation
    #
    class UntagResourceRequest < Struct.new(
      :resource_arn,
      :tag_keys)
      SENSITIVE = []
      include Aws::Structure
    end

    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/UntagResourceResponse AWS API Documentation
    #
    class UntagResourceResponse < Aws::EmptyStructure; end

    # @!attribute [rw] guardrail_identifier
    #   The unique identifier of the guardrail
    #   @return [String]
    #
    # @!attribute [rw] name
    #   A name for the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] description
    #   A description of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] topic_policy_config
    #   The topic policy to configure for the guardrail.
    #   @return [Types::GuardrailTopicPolicyConfig]
    #
    # @!attribute [rw] content_policy_config
    #   The content policy to configure for the guardrail.
    #   @return [Types::GuardrailContentPolicyConfig]
    #
    # @!attribute [rw] word_policy_config
    #   The word policy to configure for the guardrail.
    #   @return [Types::GuardrailWordPolicyConfig]
    #
    # @!attribute [rw] sensitive_information_policy_config
    #   The sensitive information policy to configure for the guardrail.
    #   @return [Types::GuardrailSensitiveInformationPolicyConfig]
    #
    # @!attribute [rw] blocked_input_messaging
    #   The message to return when the guardrail blocks a prompt.
    #   @return [String]
    #
    # @!attribute [rw] blocked_outputs_messaging
    #   The message to return when the guardrail blocks a model response.
    #   @return [String]
    #
    # @!attribute [rw] kms_key_id
    #   The ARN of the KMS key with which to encrypt the guardrail.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/UpdateGuardrailRequest AWS API Documentation
    #
    class UpdateGuardrailRequest < Struct.new(
      :guardrail_identifier,
      :name,
      :description,
      :topic_policy_config,
      :content_policy_config,
      :word_policy_config,
      :sensitive_information_policy_config,
      :blocked_input_messaging,
      :blocked_outputs_messaging,
      :kms_key_id)
      SENSITIVE = [:name, :description, :blocked_input_messaging, :blocked_outputs_messaging]
      include Aws::Structure
    end

    # @!attribute [rw] guardrail_id
    #   The unique identifier of the guardrail
    #   @return [String]
    #
    # @!attribute [rw] guardrail_arn
    #   The ARN of the guardrail that was created.
    #   @return [String]
    #
    # @!attribute [rw] version
    #   The version of the guardrail.
    #   @return [String]
    #
    # @!attribute [rw] updated_at
    #   The date and time at which the guardrail was updated.
    #   @return [Time]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/UpdateGuardrailResponse AWS API Documentation
    #
    class UpdateGuardrailResponse < Struct.new(
      :guardrail_id,
      :guardrail_arn,
      :version,
      :updated_at)
      SENSITIVE = []
      include Aws::Structure
    end

    # @!attribute [rw] provisioned_model_id
    #   The Amazon Resource Name (ARN) or name of the Provisioned Throughput
    #   to update.
    #   @return [String]
    #
    # @!attribute [rw] desired_provisioned_model_name
    #   The new name for this Provisioned Throughput.
    #   @return [String]
    #
    # @!attribute [rw] desired_model_id
    #   The Amazon Resource Name (ARN) of the new model to associate with
    #   this Provisioned Throughput. You can't specify this field if this
    #   Provisioned Throughput is associated with a base model.
    #
    #   If this Provisioned Throughput is associated with a custom model,
    #   you can specify one of the following options:
    #
    #   * The base model from which the custom model was customized.
    #
    #   * Another custom model that was customized from the same base model
    #     as the custom model.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/UpdateProvisionedModelThroughputRequest AWS API Documentation
    #
    class UpdateProvisionedModelThroughputRequest < Struct.new(
      :provisioned_model_id,
      :desired_provisioned_model_name,
      :desired_model_id)
      SENSITIVE = []
      include Aws::Structure
    end

    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/UpdateProvisionedModelThroughputResponse AWS API Documentation
    #
    class UpdateProvisionedModelThroughputResponse < Aws::EmptyStructure; end

    # Array of up to 10 validators.
    #
    # @!attribute [rw] validators
    #   Information about the validators.
    #   @return [Array<Types::Validator>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ValidationDataConfig AWS API Documentation
    #
    class ValidationDataConfig < Struct.new(
      :validators)
      SENSITIVE = []
      include Aws::Structure
    end

    # Input validation failed. Check your request parameters and retry the
    # request.
    #
    # @!attribute [rw] message
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ValidationException AWS API Documentation
    #
    class ValidationException < Struct.new(
      :message)
      SENSITIVE = []
      include Aws::Structure
    end

    # Information about a validator.
    #
    # @!attribute [rw] s3_uri
    #   The S3 URI where the validation data is stored.
    #   @return [String]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/Validator AWS API Documentation
    #
    class Validator < Struct.new(
      :s3_uri)
      SENSITIVE = []
      include Aws::Structure
    end

    # The metric for the validator.
    #
    # @!attribute [rw] validation_loss
    #   The validation loss associated with this validator.
    #   @return [Float]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/ValidatorMetric AWS API Documentation
    #
    class ValidatorMetric < Struct.new(
      :validation_loss)
      SENSITIVE = []
      include Aws::Structure
    end

    # VPC configuration.
    #
    # @!attribute [rw] subnet_ids
    #   VPC configuration subnets.
    #   @return [Array<String>]
    #
    # @!attribute [rw] security_group_ids
    #   VPC configuration security group Ids.
    #   @return [Array<String>]
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/bedrock-2023-04-20/VpcConfig AWS API Documentation
    #
    class VpcConfig < Struct.new(
      :subnet_ids,
      :security_group_ids)
      SENSITIVE = []
      include Aws::Structure
    end

  end
end