Struggling to understand why the screen recording metadata export is failing with a 422 unprocessable entity error. we are running this via the bulk export api endpoint /api/v2/recordings/screens/export. the payload includes standard fields like recordingId, agentId, and startTime. however, when we include the scheduleId from our workforce management module to correlate adherence, the request gets rejected.
the error response body says: {'code': 'invalidRequest', 'message': 'scheduleId does not match any active schedule for the given agent during the recording window.'}
this is weird because we publish schedules weekly and the scheduleId is definitely valid in the wfm module. we are using the genecys cloud sdk version 1.3.2 for our python scripts. the recordings happen in central time, and we are converting timestamps to utc before sending. is there a known issue with the wfm schedule lookup latency or a specific format required for the scheduleId in this api? we need this correlation for our weekly performance reviews. any insights would be appreciated.
This looks like a schema mismatch where the export endpoint doesn’t accept scheduleId. The screen recording API strictly validates against known recording attributes, and WFM schedule IDs aren’t part of that schema. Try removing the scheduleId field and correlate the data on the client side instead.
The official documentation states that the screen recording export endpoint is strictly typed to only accept fields present in the Recording entity schema. The scheduleId is not a native attribute of the recording object; it lives within the Interaction or Engagement context, which is a separate data model entirely. Sending it directly in the export payload causes the server-side validator to reject the request with a 422, as it cannot map that field to a known column in the CSV/JSON output.
Instead of trying to force the scheduleId into the recording export, the integration should leverage the Interaction ID that is embedded within the screen recording metadata. Most screen recordings are linked to a specific interaction (even if it is a standalone screen capture event). You can retrieve the interactionId from the recording object, and then use the /api/v2/interactions endpoint to fetch the full interaction details. The interaction object often contains the WFM schedule context or at least the precise timestamp and agent ID needed to correlate with your WFM data.
Here is the recommended flow for the backend service:
Request the screen recording export without scheduleId.
Parse the resulting file to extract interactionId for each recording.
Batch query the interactions using /api/v2/interactions?ids=....
Join the recording metadata with the interaction data on the client side based on the shared interactionId.
This approach respects the API contract while still achieving the necessary data correlation. Attempting to extend the export schema via custom attributes is not supported for system-generated recordings, so client-side enrichment is the only reliable path for AppFoundry integrations handling this data.
You might want to check at the payload structure again. The 422 error is definitely a schema validation issue. The screen recording export endpoint is strict about fields. It only accepts attributes defined in the Recording entity. The scheduleId belongs to WFM data, not recording metadata. Sending it causes the validator to fail.
In my load tests, I saw similar 422 errors when adding custom fields that weren’t in the schema. The fix is to remove the scheduleId from the export request. Then, fetch the schedule data separately. Join the datasets in your application logic. This keeps the API calls clean. It also helps with throughput. Fewer fields mean faster processing.