batch_delete_advanced_prompt_optimization_job ¶

def batch_delete_advanced_prompt_optimization_job(
    self,
    job_identifiers: "capo_bedrock.types.advanced_prompt_optimization_job_identifiers.AdvancedPromptOptimizationJobIdentifiers",
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
) -> "capo_bedrock.types.batch_delete_advanced_prompt_optimization_job_response.BatchDeleteAdvancedPromptOptimizationJobResponse":
    """<p>Deletes one or more advanced prompt optimization jobs.</p>

    Args:
        job_identifiers: <p>A list of advanced prompt optimization job identifiers (ARNs or IDs) to delete.</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.batch_delete_advanced_prompt_optimization_job_request.BatchDeleteAdvancedPromptOptimizationJobRequest]",
    ) -> OperationResponse[
        "capo_bedrock.types.batch_delete_advanced_prompt_optimization_job_response.BatchDeleteAdvancedPromptOptimizationJobResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.batch_delete_advanced_prompt_optimization_job

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

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("BatchDeleteAdvancedPromptOptimizationJob"),
    )
    input_: capo_bedrock.types.batch_delete_advanced_prompt_optimization_job_request.BatchDeleteAdvancedPromptOptimizationJobRequest = {
        "job_identifiers": job_identifiers
    }

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