list_imported_models ¶

def list_imported_models(
    self,
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
    creation_time_before: Optional["capo_bedrock.types.timestamp.Timestamp"] = None,
    creation_time_after: Optional["capo_bedrock.types.timestamp.Timestamp"] = None,
    name_contains: Optional[
        "capo_bedrock.types.imported_model_name.ImportedModelName"
    ] = None,
    max_results: Optional["capo_bedrock.types.max_results.MaxResults"] = None,
    next_token: Optional[
        "capo_bedrock.types.pagination_token.PaginationToken"
    ] = None,
    sort_by: Optional["capo_bedrock.types.sort_models_by.SortModelsBy"] = None,
    sort_order: Optional["capo_bedrock.types.sort_order.SortOrder"] = None,
) -> "capo_bedrock.types.list_imported_models_response.ListImportedModelsResponse":
    """<p>Returns a list of models you've imported. You can filter the results to return based on one or more criteria. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">Import a customized model</a> in the <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-service.html">Amazon Bedrock User Guide</a>.</p>

    Args:
        creation_time_before: <p>Return imported models that created before the specified time.</p>
        creation_time_after: <p>Return imported models that were created after the specified time.</p>
        name_contains: <p>Return imported models only if the model name contains these characters.</p>
        max_results: <p>The maximum number of results to return in the response. If the total number of results is greater than this value, use the token returned in the response in the <code>nextToken</code> field when making another request to return the next batch of results.</p>
        next_token: <p>If the total number of results is greater than the <code>maxResults</code> value provided in the request, enter the token returned in the <code>nextToken</code> field in the response in this field to return the next batch of results.</p>
        sort_by: <p>The field to sort by in the returned list of imported models.</p>
        sort_order: <p>Specifies whetehr to sort the results in ascending or descending order.</p>

    Raises:
        capo_bedrock.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
        capo_bedrock.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock.types.list_imported_models_request.ListImportedModelsRequest]",
    ) -> OperationResponse[
        "capo_bedrock.types.list_imported_models_response.ListImportedModelsResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.list_imported_models

        output, http_response = (
            capo_bedrock._operations.amazon_bedrock_control_plane_service.list_imported_models.list_imported_models(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListImportedModels")
    )
    input_: capo_bedrock.types.list_imported_models_request.ListImportedModelsRequest = {}
    if creation_time_before is not None:
        input_["creation_time_before"] = creation_time_before
    if creation_time_after is not None:
        input_["creation_time_after"] = creation_time_after
    if name_contains is not None:
        input_["name_contains"] = name_contains
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token
    if sort_by is not None:
        input_["sort_by"] = sort_by
    if sort_order is not None:
        input_["sort_order"] = sort_order

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output