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list_lambda_functions

list_lambda_functions(
    instance_id: InstanceId,
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResult25] = None,
) -> ListLambdaFunctionsResponse

This API is in preview release for Connect Customer and is subject to change.

Returns a paginated list of all Lambda functions that display in the dropdown options in the relevant flow blocks.

Parameters:

  • instance_id (InstanceId) –

    The identifier of the Connect Customer instance. You can find the instance ID in the Amazon Resource Name (ARN) of the instance.

  • next_token (Optional[NextToken], default: None ) –

    The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.

  • max_results (Optional[MaxResult25], default: None ) –

    The maximum number of results to return per page.

Raises:

Source code in docs_src/capo_connect/_services/connect.py
def list_lambda_functions(
    self,
    instance_id: "capo_connect.types.instance_id.InstanceId",
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
    next_token: Optional["capo_connect.types.next_token.NextToken"] = None,
    max_results: Optional["capo_connect.types.max_result25.MaxResult25"] = None,
) -> (
    "capo_connect.types.list_lambda_functions_response.ListLambdaFunctionsResponse"
):
    """<p>This API is in preview release for Connect Customer and is subject to change.</p> <p>Returns a paginated list of all Lambda functions that display in the dropdown options in the relevant flow blocks.</p>

    Args:
        instance_id: <p>The identifier of the Connect Customer instance. You can <a href="https://docs.aws.amazon.com/connect/latest/adminguide/find-instance-arn.html">find the instance ID</a> in the Amazon Resource Name (ARN) of the instance.</p>
        next_token: <p>The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.</p>
        max_results: <p>The maximum number of results to return per page.</p>

    Raises:
        capo_connect.errors.internal_service_exception.InternalServiceException: <p>Request processing failed because of an error or failure with the service.</p>
        capo_connect.errors.invalid_parameter_exception.InvalidParameterException: <p>One or more of the specified parameters are not valid.</p>
        capo_connect.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid.</p>
        capo_connect.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_connect.errors.throttling_exception.ThrottlingException: <p>The throttling limit has been exceeded.</p>
        capo_connect.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_connect.types.list_lambda_functions_request.ListLambdaFunctionsRequest]",
    ) -> OperationResponse[
        "capo_connect.types.list_lambda_functions_response.ListLambdaFunctionsResponse"
    ]:
        import capo_connect._operations.amazon_connect_service.list_lambda_functions

        output, http_response = (
            capo_connect._operations.amazon_connect_service.list_lambda_functions.list_lambda_functions(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListLambdaFunctions")
    )
    input_: capo_connect.types.list_lambda_functions_request.ListLambdaFunctionsRequest = {
        "instance_id": instance_id
    }
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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