put_enforced_guardrail_configuration ¶

def put_enforced_guardrail_configuration(
    self,
    guardrail_inference_config: "capo_bedrock.types.account_enforced_guardrail_inference_input_configuration.AccountEnforcedGuardrailInferenceInputConfiguration",
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
    config_id: Optional[
        "capo_bedrock.types.account_enforced_guardrail_configuration_id.AccountEnforcedGuardrailConfigurationId"
    ] = None,
) -> "capo_bedrock.types.put_enforced_guardrail_configuration_response.PutEnforcedGuardrailConfigurationResponse":
    """<p>Sets the account-level enforced guardrail configuration.</p>

    Args:
        config_id: <p>Unique ID for the account enforced configuration.</p>
        guardrail_inference_config: <p>Account-level enforced guardrail input configuration.</p>

    Raises:
        capo_bedrock.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
        capo_bedrock.errors.conflict_exception.ConflictException: <p>Error occurred because of a conflict while performing an operation.</p>
        capo_bedrock.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</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.put_enforced_guardrail_configuration_request.PutEnforcedGuardrailConfigurationRequest]",
    ) -> OperationResponse[
        "capo_bedrock.types.put_enforced_guardrail_configuration_response.PutEnforcedGuardrailConfigurationResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.put_enforced_guardrail_configuration

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("PutEnforcedGuardrailConfiguration")
    )
    input_: capo_bedrock.types.put_enforced_guardrail_configuration_request.PutEnforcedGuardrailConfigurationRequest = {
        "guardrail_inference_config": guardrail_inference_config
    }
    if config_id is not None:
        input_["config_id"] = config_id

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