SimpleT AI Async Response Awaiter

SimpleT AI Async Response Awaiter is a specialized Flow action that checks the status of running AI processing jobs and retrieves results when they're complete. This tool enables you to create sophisticated workflows that don't get blocked by complex AI operations.

What This Tool Does

Primary Functions

  • Status Checking: Checks if your async AI processing is complete
  • Result Retrieval: Gets the final AI results when processing is done
  • Progress Monitoring: Tells you if AI is still working or finished
  • Error Detection: Identifies when AI processing has failed

How Async AI Processing Works

The Two-Step Process

Step 1: Start AI Processing (Async)
Action: SimpleT AI Service
- Execute Async: true
- Result: You get a Run ID and Thread ID (job tracking numbers)

Step 2: Check for Results (This Tool)
Action: SimpleT AI Async Response Awaiter
- Input: Run ID from Step 1
- Result: Either "No Content" (still processing) or final AI results

Status Responses Explained

  • "No Content": AI is still working - check again later
  • Actual Results: AI finished - here's your final response
  • Error Message: Something went wrong - processing failed
Fetching final result from asynchronous AI call.

Common Patterns and Templates

Pattern 1: Simple Polling Loop

Variables: asyncJob, statusResult, attemptCount, maxAttempts

Loop:
1. Wait: {!pollingInterval} minutes
2. Action: SimpleT AI Async Response Awaiter
3. Decision: Complete? → Process / Continue polling
4. Increment: attemptCount
5. Check: Max attempts → Timeout handling / Continue

Pattern 2: Progressive Polling

Variables: waitTime (starts small), maxWait, multiplier

Loop:
1. Wait: {!waitTime} minutes
2. Check Status
3. If not complete: waitTime = MIN(waitTime * multiplier, maxWait)
4. Continue

Troubleshooting

Common Issues and Solutions

Processing Never Completes
Possible Causes:
• AI processing failed but not returning error
• Network connectivity issues
• Service overload
Solutions:
• Set maximum processing time limits
• Implement manual intervention paths
• Add administrator notifications
• Create fallback processes

Getting Help

Flow Debug: Use debug mode to trace async processing
Error Logs: Check fault path variables for error details
Administrator: Contact admin for service status and configuration
Support: Provide Run ID and Thread ID when reporting issues