Enum values for ApplicationType.

Enum values for ApplicationType.

Enum values for CommitmentDuration.

Enum values for CommitmentDuration.

Enum values for CustomizationType.

Enum values for CustomizationType.

Enum values for CustomizationType.

Enum values for EvaluationJobStatus.

Enum values for EvaluationJobStatus.

Enum values for EvaluationJobStatus.

Enum values for EvaluationJobStatus.

Enum values for EvaluationJobStatus.

Enum values for EvaluationJobStatus.

Enum values for EvaluationJobType.

Enum values for EvaluationJobType.

Enum values for EvaluationTaskType.

Enum values for EvaluationTaskType.

Enum values for EvaluationTaskType.

Enum values for EvaluationTaskType.

Enum values for EvaluationTaskType.

Enum values for ExternalSourceType.

Enum values for ExternalSourceType.

Enum values for FineTuningJobStatus.

Enum values for FineTuningJobStatus.

Enum values for FineTuningJobStatus.

Enum values for FineTuningJobStatus.

Enum values for FineTuningJobStatus.

Enum values for FoundationModelLifecycleStatus.

Enum values for FoundationModelLifecycleStatus.

Enum values for GuardrailContentFilterType.

Enum values for GuardrailContentFilterType.

Enum values for GuardrailContentFilterType.

Enum values for GuardrailContentFilterType.

Enum values for GuardrailContentFilterType.

Enum values for GuardrailContentFilterType.

Enum values for GuardrailContextualGroundingFilterType.

Enum values for GuardrailContextualGroundingFilterType.

Enum values for GuardrailFilterStrength.

Enum values for GuardrailFilterStrength.

Enum values for GuardrailFilterStrength.

Enum values for GuardrailFilterStrength.

Enum values for GuardrailManagedWordsType.

Enum values for GuardrailModality.

Enum values for GuardrailModality.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailPiiEntityType.

Enum values for GuardrailSensitiveInformationAction.

Enum values for GuardrailSensitiveInformationAction.

Enum values for GuardrailStatus.

Enum values for GuardrailStatus.

Enum values for GuardrailStatus.

Enum values for GuardrailStatus.

Enum values for GuardrailStatus.

Enum values for GuardrailStatus.

Enum values for GuardrailTopicType.

Enum values for InferenceProfileStatus.

Enum values for InferenceProfileType.

Enum values for InferenceProfileType.

Enum values for InferenceType.

Enum values for InferenceType.

Enum values for ModelCopyJobStatus.

Enum values for ModelCopyJobStatus.

Enum values for ModelCopyJobStatus.

Enum values for ModelCustomization.

Enum values for ModelCustomization.

Enum values for ModelCustomization.

Enum values for ModelCustomizationJobStatus.

Enum values for ModelCustomizationJobStatus.

Enum values for ModelCustomizationJobStatus.

Enum values for ModelCustomizationJobStatus.

Enum values for ModelCustomizationJobStatus.

Enum values for ModelImportJobStatus.

Enum values for ModelImportJobStatus.

Enum values for ModelImportJobStatus.

Enum values for ModelInvocationJobStatus.

Enum values for ModelInvocationJobStatus.

Enum values for ModelInvocationJobStatus.

Enum values for ModelInvocationJobStatus.

Enum values for ModelInvocationJobStatus.

Enum values for ModelInvocationJobStatus.

Enum values for ModelInvocationJobStatus.

Enum values for ModelInvocationJobStatus.

Enum values for ModelInvocationJobStatus.

Enum values for ModelInvocationJobStatus.

Enum values for ModelModality.

Enum values for ModelModality.

Enum values for ModelModality.

Enum values for PerformanceConfigLatency.

Enum values for PerformanceConfigLatency.

Enum values for PromptRouterStatus.

Enum values for PromptRouterType.

Enum values for PromptRouterType.

Enum values for ProvisionedModelStatus.

Enum values for ProvisionedModelStatus.

Enum values for ProvisionedModelStatus.

Enum values for ProvisionedModelStatus.

Enum values for QueryTransformationType.

Enum values for RetrieveAndGenerateType.

Enum values for RetrieveAndGenerateType.

Enum values for S3InputFormat.

Enum values for SearchType.

Enum values for SearchType.

Enum values for SortByProvisionedModels.

Enum values for SortJobsBy.

Enum values for SortModelsBy.

Enum values for SortOrder.

Enum values for SortOrder.

Enum values for Status.

Enum values for Status.

The request is denied because of missing access permissions.

The configuration details of an automated evaluation job.

A JSON array that provides the status of the evaluation jobs being deleted.

An evaluation job for deletion, and it’s current status.

The evaluator model used in knowledge base evaluation job or in model evaluation job that use a model as judge.

Contains the document contained in the wrapper object, along with its attributes/fields.

CloudWatch logging configuration.

Error occurred because of a conflict while performing an operation.

The distillation configuration for the custom model.

Summary information for a custom model.

Settings for distilling a foundation model into a smaller and more efficient model.

The configuration specific to Amazon SageMaker for the endpoint.

Contains the ARN of the Amazon Bedrock model or [inference profile] specified in your evaluation job.

Contains the configuration details of an automated evaluation job that computes metrics.

Contains the configuration details of an evaluation job that uses human workers.

Used to specify the name of a built-in prompt dataset and optionally, the Amazon S3 bucket where a custom prompt dataset is saved.

The S3 URI of the S3 bucket specified in the job.

Defines the prompt datasets, built-in metric names and custom metric names, and the task type.

Specifies the inference models.

Contains the configuration details of the inference for a knowledge base evaluation job, including either the retrieval only configuration or the retrieval with response generation configuration.

Defines the Amazon Bedrock model or inference profile and inference parameters you want used.

The Amazon S3 location where the results of your evaluation job are saved.

Summary information of an evaluation job.

The evaluator model used in knowledge base evaluation job or in model evaluation job that use a model as judge.

The unique external source of the content contained in the wrapper object.

The response generation configuration of the external source wrapper object.

The configuration of the external source wrapper object in the retrieveAndGenerate function.

Specifies the name of the metadata attribute/field to apply filters.

Information about a foundation model.

Details about whether a model version is available or deprecated.

Summary information for a foundation model.

The configuration details for response generation based on retrieved text chunks.

The configuration details for the guardrail.

Contains filter strengths for harmful content.

Contains filter strengths for harmful content.

Contains details about how to handle harmful content.

Contains details about how to handle harmful content.

The details for the guardrails contextual grounding filter.

The filter configuration details for the guardrails contextual grounding filter.

The details for the guardrails contextual grounding policy.

The policy configuration details for the guardrails contextual grounding policy.

The managed word list that was configured for the guardrail.

The managed word list to configure for the guardrail.

The PII entity configured for the guardrail.

The PII entity to configure for the guardrail.

The regular expression configured for the guardrail.

The regular expression to configure for the guardrail.

Contains details about PII entities and regular expressions configured for the guardrail.

Contains details about PII entities and regular expressions to configure for the guardrail.

Contains details about a guardrail.

Details about topics for the guardrail to identify and deny.

Details about topics for the guardrail to identify and deny.

Contains details about topics that the guardrail should identify and deny.

Contains details about topics that the guardrail should identify and deny.

A word configured for the guardrail.

A word to configure for the guardrail.

Contains details about the word policy configured for the guardrail.

Contains details about the word policy to configured for the guardrail.

Specifies the custom metrics, how tasks will be rated, the flow definition ARN, and your custom prompt datasets.

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.

Contains SageMakerFlowDefinition object.

Information about the imported model.

Contains information about a model.

The ARN of the model or system-defined inference profile that is the source for the inference profile.

Contains information about an inference profile.

An internal server error occurred.

Settings for using invocation logs to customize a model.

The URI of an invocation log in a bucket.

Contains configuration details of the inference for knowledge base retrieval and response generation.

Contains configuration details for retrieving information from a knowledge base and generating responses.

Contains configuration details for retrieving information from a knowledge base.

Contains configuration details for retrieving information from a knowledge base.

Contains configuration details for retrieving information from a knowledge base and generating responses.

The configuration details for returning the results from the knowledge base vector search.

Configuration fields for invocation logging.

Contains details about an endpoint for a model from Amazon Bedrock Marketplace.

Provides a summary of an endpoint for a model from Amazon Bedrock Marketplace.

Contains details about each model copy job.

Information about one customization job.

The Amazon S3 data source of the imported model.

Information about the import job.

Contains the configuration of the S3 location of the input data.

Contains the configuration of the S3 location of the output data.

Contains the configuration of the S3 location of the input data.

Contains the configuration of the S3 location of the output data.

A summary of a batch inference job.

The configuration details for the model to process the prompt prior to retrieval and response generation.

S3 Location of the output data.

Contains performance settings for a model.

Details about a prompt router.

The target model for a prompt router.

The template for the prompt that's sent to the model for response generation.

A summary of information about a Provisioned Throughput.

The configuration details for transforming the prompt.

Contains configuration details for knowledge base retrieval and response generation.

A mapping of a metadata key to a value that it should or should not equal.

Include results where all of the based filters match.

Include results where the key equals the value.

Include results where the key does not equal the value.

Include results where any of the base filters match.

The specified resource Amazon Resource Name (ARN) was not found.

Knowledge base data sources are returned if their metadata attributes fulfill all the filter conditions inside this list.

Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value matches the value in this object.

Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value is greater than the value in this object.

Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value is greater than or equal to the value in this object.

Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value is in the list specified in the value in this object.

Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value is less than the value in this object.

Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value is less than or equal to the value in this object.

Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value is a list that contains the value as one of its members.

Knowledge base data sources that contain a metadata attribute whose name matches the key and whose value doesn't match the value in this object are returned.

Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value isn't in the list specified in the value in this object.

Knowledge base data sources are returned if their metadata attributes fulfill at least one of the filter conditions inside this list.

Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value starts with the value in this object.

Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value is one of the following: A string that contains the value as a substring.

Contains configuration details for a knowledge base retrieval and response generation.

The configuration details for retrieving information from a knowledge base.

Routing criteria for a prompt router.

S3 configuration for storing log data.

The Amazon S3 data source of the imported job.

The unique wrapper object of the document from the S3 location.

Specifies the configuration for a Amazon SageMaker endpoint.

The number of requests exceeds the service quota.

Returned if the service cannot complete the request.

Definition of the key/value pair for a tag.

Details about a teacher model used for model customization.

The configuration details for text generation using a language model via the RetrieveAndGenerate function.

The number of requests exceeds the limit.

The request contains more tags than can be associated with a resource (50 tags per resource).

S3 Location of the training data.

Metrics associated with the custom job.

UnknownUnionMember is returned when a union member is returned over the wire, but has an unknown tag.

Array of up to 10 validators.

Input validation failed.

Information about a validator.

The metric for the validator.

The configuration of a virtual private cloud (VPC).

A model customization configuration The following types satisfy this interface: CustomizationConfigMemberDistillationConfig.

Specifies the configuration for the endpoint.

The configuration details of either an automated or human-based evaluation job.

The location in Amazon S3 where your prompt dataset is stored.

The configuration details of the inference model for an evaluation job.

Defines the models used in the model evaluation job.

Specifies the model configuration for the evaluator model.

Contains information about the model or system-defined inference profile that is the source for an inference profile.

A storage location for invocation logs.

The configuration details for retrieving information from a knowledge base and generating responses.

Data source for the imported model.

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

Contains the configuration of the S3 location of the output data.

Contains configuration details for retrieval of information and response generation.

Rules for filtering invocation logs.

Specifies the filters to use on the metadata attributes/fields in the knowledge base data sources before returning results.