Implementing Automateo Workflows in Your Applications

Automateo workflows are designed to be easily integrated into a wide variety of applications, from custom-coded solutions to no-code platforms. This guide will walk you through the process of implementing Automateo workflows in different environments.

Understanding the Workflow Execution Process

Before diving into implementation details, it's crucial to understand how Automateo workflows are executed:

  1. Triggering the Workflow: When you send a request to trigger a workflow, Automateo immediately returns a workflow execution ID.

  2. Asynchronous Execution: The workflow then begins executing asynchronously.

  3. Result Delivery: Once the workflow completes, Automateo sends a webhook request to your specified server with the output data.

  4. Result Handling: Your application needs to match the received results with the original execution ID to process and display the data correctly.

This asynchronous process allows for efficient handling of long-running workflows and provides flexibility in how you manage and display results to your users.

Implementing in Custom Coded Applications

When integrating Automateo workflows into your custom-coded applications, you'll need to handle both the initial workflow triggering and the subsequent result webhook. Here's how to do this using JavaScript:

  1. Triggering Workflows Use the Fetch API or a library like Axios to send POST requests to your workflow's webhook URL.

    async function triggerWorkflow(inputData) {
  const url = "https://api.automateo.com/workflow/trigger/{workflow_id}";
  const headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
  };
  
  try {
    const response = await fetch(url, {
      method: 'POST',
      headers: headers,
      body: JSON.stringify(inputData)
    });
    
    const result = await response.json();
    const executionId = result.id;
    
    // Store the executionId for later use
    saveExecutionId(executionId);
    
    return executionId;
  } catch (error) {
    console.error("Error triggering workflow:", error);
  }
}

function saveExecutionId(executionId) {
  // Implement this function to store the executionId for the current user
  // This could be in a database, local storage, or state management system
}

  2. Handling Webhook Results Set up an endpoint in your server to receive the webhook with the workflow results.

    const express = require('express');
const app = express();

app.post('/workflow-result', express.json(), (req, res) => {
  const executionId = req.body.workflow_execution_id;
  const outputData = req.body.output;

  // Process and store the result
  processWorkflowResult(executionI
  res.sendStatus(200);
});

function processWorkflowResult(executionId, outputData) {
  // Implement this function to process and store the workflow result
  // This should match the result with the stored executionId
  // and update your application state or database accordingly
}

  3. Displaying Results to Users Implement a way to check for and display results once they're available.

    async function checkWorkflowResult(executionId) {
  // Implement this function
  // This could involve querying your database or checking application state
  const result = await fetchResultFromDatabase(executionId);
  if (result) {
    displayResultToUser(result);
  } else {
    console.log("Result not available yet")
  }
}

function displayResultToUser(result) {
  // Implement this function to update your UI with the workflow result
}

Implementing in No-Code Platforms

The process for no-code platforms is similar, but the implementation details will vary based on the platform's capabilities.

Integrating with Bubble.io

  1. Triggering Workflows

    • Use Bubble's API Connector to send a request to Automateo.

    • Store the returned execution ID in a custom state or database.

  2. Handling Results

    • Set up a webhook endpoint in Bubble to receive the results.

    • In the webhook workflow, match the received execution ID with the stored one and update your app's data accordingly.

Integrating with Zapier

  1. Triggering Workflows

    • Use Zapier's Webhook action to send data to your Automateo workflow.

    • Store the returned execution ID using a storage action or by updating a record in a connected app.

  2. Handling Results

    • Create a webhook trigger in Zapier to receive the results.

    • Use subsequent steps in your Zap to process the results and update the relevant records or trigger further actions.

Best Practices for Implementation

  1. Execution ID Management

    • Implement a system for storing and retrieving execution IDs.

    • Consider implementing an expiration policy for old execution IDs.

    • Connect execution IDs with user IDs.

  2. Error Handling

    • Implement error handling for both the initial trigger request and the result webhook.

    • Have a plan for handling cases where results are delayed or never received.

  3. User Experience

    • Provide clear feedback to users about the status of their workflow (e.g., "Processing", "Complete").

    • Consider implementing a polling mechanism or websockets for real-time updates on workflow status.

  4. Security

    • Validate incoming webhooks to ensure they're genuinely from Automateo.

    • Implement proper authentication in your app to control who can trigger workflows.

  5. Testing

    • Thoroughly test your integration, including error cases and delayed results.

    • Use the webhoook.me tool (discussed in the Running and Debugging section) to simulate and verify your integration.

  6. Monitoring and Logging

    • Implement logging for all workflow triggers and results.

    • Set up monitoring to alert you of any issues in the workflow execution process.

By following these guidelines and understanding the asynchronous nature of Automateo workflows, you can create robust integrations that leverage the power of AI and LLMs in your applications, providing enhanced functionality and value to your users.

PreviousPricing and Usage

Last updated