Utilizzare con un StartExecutionAWS SDK

    /// <summary>
    /// Start execution of an AWS Step Functions state machine.
    /// </summary>
    /// <param name="executionName">The name to use for the execution.</param>
    /// <param name="executionJson">The JSON string to pass for execution.</param>
    /// <param name="stateMachineArn">The Amazon Resource Name (ARN) of the
    /// Step Functions state machine.</param>
    /// <returns>The Amazon Resource Name (ARN) of the AWS Step Functions
    /// execution.</returns>
    public async Task<string> StartExecutionAsync(string executionJson, string stateMachineArn)
    {
        var executionRequest = new StartExecutionRequest
        {
            Input = executionJson,
            StateMachineArn = stateMachineArn
        };

        var response = await _amazonStepFunctions.StartExecutionAsync(executionRequest);
        return response.ExecutionArn;
    }

    public static String startWorkflow(SfnClient sfnClient, String stateMachineArn, String jsonEx) {
        UUID uuid = UUID.randomUUID();
        String uuidValue = uuid.toString();
        try {
            StartExecutionRequest executionRequest = StartExecutionRequest.builder()
                    .input(jsonEx)
                    .stateMachineArn(stateMachineArn)
                    .name(uuidValue)
                    .build();

            StartExecutionResponse response = sfnClient.startExecution(executionRequest);
            return response.executionArn();

        } catch (SfnException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
        return "";
    }

import { SFNClient, StartExecutionCommand } from "@aws-sdk/client-sfn";

/**
 * @param {{ sfnClient: SFNClient, stateMachineArn: string }} config
 */
export async function startExecution({ sfnClient, stateMachineArn }) {
  const response = await sfnClient.send(
    new StartExecutionCommand({
      stateMachineArn,
    }),
  );
  console.log(response);
  // Example response:
  // {
  //   '$metadata': {
  //     httpStatusCode: 200,
  //     requestId: '202a9309-c16a-454b-adeb-c4d19afe3bf2',
  //     extendedRequestId: undefined,
  //     cfId: undefined,
  //     attempts: 1,
  //     totalRetryDelay: 0
  //   },
  //   executionArn: 'arn:aws:states:us-east-1:000000000000:execution:MyStateMachine:aaaaaaaa-f787-49fb-a20c-1b61c64eafe6',
  //   startDate: 2024-01-04T15:54:08.362Z
  // }
  return response;
}

// Call function if run directly
import { fileURLToPath } from "node:url";
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  startExecution({ sfnClient: new SFNClient({}), stateMachineArn: "ARN" });
}

suspend fun startWorkflow(
    stateMachineArnVal: String?,
    jsonEx: String?,
): String? {
    val uuid = UUID.randomUUID()
    val uuidValue = uuid.toString()
    val executionRequest =
        StartExecutionRequest {
            input = jsonEx
            stateMachineArn = stateMachineArnVal
            name = uuidValue
        }
    SfnClient { region = "us-east-1" }.use { sfnClient ->
        val response = sfnClient.startExecution(executionRequest)
        return response.executionArn
    }
}

class StateMachine:
    """Encapsulates Step Functions state machine actions."""

    def __init__(self, stepfunctions_client):
        """
        :param stepfunctions_client: A Boto3 Step Functions client.
        """
        self.stepfunctions_client = stepfunctions_client


    def start(self, state_machine_arn, run_input):
        """
        Start a run of a state machine with a specified input. A run is also known
        as an "execution" in Step Functions.

        :param state_machine_arn: The ARN of the state machine to run.
        :param run_input: The input to the state machine, in JSON format.
        :return: The ARN of the run. This can be used to get information about the run,
                 including its current status and final output.
        """
        try:
            response = self.stepfunctions_client.start_execution(
                stateMachineArn=state_machine_arn, input=run_input
            )
        except ClientError as err:
            logger.error(
                "Couldn't start state machine %s. Here's why: %s: %s",
                state_machine_arn,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response["executionArn"]