delete_evaluator ¶

def delete_evaluator(
    self,
    evaluator_id: "capo_bedrock_agentcore_control.types.evaluator_id.EvaluatorId",
    *,
    config_overrides: Optional[BedrockAgentCoreControlClientConfig] = None,
) -> "capo_bedrock_agentcore_control.types.delete_evaluator_response.DeleteEvaluatorResponse":
    """<p> Deletes a custom evaluator. Builtin evaluators cannot be deleted. The evaluator must not be referenced by any active online evaluation configurations. </p>

    Args:
        evaluator_id: <p> The unique identifier of the evaluator to delete. </p>

    Raises:
        capo_bedrock_agentcore_control.errors.access_denied_exception.AccessDeniedException: <p>This exception is thrown when a request is denied per access permissions</p>
        capo_bedrock_agentcore_control.errors.conflict_exception.ConflictException: <p>This exception is thrown when there is a conflict performing an operation</p>
        capo_bedrock_agentcore_control.errors.internal_server_exception.InternalServerException: <p>This exception is thrown if there was an unexpected error during processing of request</p>
        capo_bedrock_agentcore_control.errors.resource_not_found_exception.ResourceNotFoundException: <p>This exception is thrown when a resource referenced by the operation does not exist</p>
        capo_bedrock_agentcore_control.errors.throttling_exception.ThrottlingException: <p>This exception is thrown when the number of requests exceeds the limit</p>
        capo_bedrock_agentcore_control.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the service.</p>
        capo_bedrock_agentcore_control.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock_agentcore_control.types.delete_evaluator_request.DeleteEvaluatorRequest]",
    ) -> OperationResponse[
        "capo_bedrock_agentcore_control.types.delete_evaluator_response.DeleteEvaluatorResponse"
    ]:
        import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.delete_evaluator

        output, http_response = (
            capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.delete_evaluator.delete_evaluator(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteEvaluator")
    )
    input_: capo_bedrock_agentcore_control.types.delete_evaluator_request.DeleteEvaluatorRequest = {
        "evaluator_id": evaluator_id
    }

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