Request Logs

Autofill records AI request details so admins and developers can understand what happened during a generation run. Request logs are useful when you need to compare prompts, inspect responses, understand failures, or review token usage and latency.

What Gets Logged

  • Autofill field ID
  • Entry ID and site ID, when available
  • User ID, when the request comes from a logged-in editor
  • Provider and model configuration
  • Model ID and reasoning effort
  • Generated request prompt
  • Request and response payload details
  • Raw response text
  • Success or failure state
  • Error message, when available
  • Latency and token usage
  • Provider response ID

When to Check Logs

Check request logs when a generation fails, when the model returns unexpected values, when you need to tune prompts, or before running a larger Bulk Autofill job.

Logs are especially helpful alongside Test Mode: Test Mode shows what would be sent, while request logs show what was actually sent and returned during real generation.